CN117852191B - Three-dimensional model design method and system based on motor car console - Google Patents
Three-dimensional model design method and system based on motor car console Download PDFInfo
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Abstract
The invention relates to the technical field of three-dimensional model design of motor car consoles, in particular to a three-dimensional model design method and system based on a motor car console. The method comprises the following steps: performing signal control safety adaptation on a motor car control console and performing triggering conflict recognition on motor car control circuit data to obtain triggering conflict recognition data; performing risk conflict management and control architecture design based on the triggering conflict identification data to obtain a conflict management and control cache architecture; integrating the conflict control cache architecture to a motor car console to obtain a motor car conflict control platform; the collision data acquisition is carried out through the motor car collision management and control platform, so that motor car collision data are obtained; and carrying out conflict avoidance design analysis on the motor car control console based on the motor car conflict data and carrying out conflict three-dimensional model avoidance design on the motor car control console to obtain a conflict three-dimensional avoidance model. According to the invention, the model design of the motor car console is more in line with the application requirements through the optimization processing of the model design.
Description
Technical Field
The invention relates to the technical field of three-dimensional model design of motor car consoles, in particular to a three-dimensional model design method and system based on a motor car console.
Background
The three-dimensional model design of the motor car console adopts a Computer Aided Design (CAD) technology, comprising three-dimensional modeling, virtual Reality (VR) and man-machine interaction, and a designer uses CAD software to create a highly real model so as to ensure the console function, man-machine interface and operation fluency, and virtual verification is carried out by utilizing the VR technology, so that user experience is optimized. Meanwhile, man-machine interaction design is integrated, and control intuitiveness and convenience are guaranteed. The technical support behind the method enables the design of the motor car console to be more accurate and efficient, and provides an advanced and reliable operation platform for modern railway traffic. However, the conventional three-dimensional model design method of the motor car console has the problems that the motor car control command cannot be effectively identified and the precise triggering conflict avoidance cannot be performed on the motor car control command.
Disclosure of Invention
Based on this, it is necessary to provide a three-dimensional model design method and system based on a motor car console, so as to solve at least one of the above technical problems.
In order to achieve the above purpose, a three-dimensional model design method based on a motor car console comprises the following steps:
Step S1: acquiring design demand data of a motor car console; performing signal control safety adaptation on the motor car control console based on the motor car control console design requirement data to obtain motor car safety signal control data;
Step S2: triggering conflict identification is carried out on the motor car control circuit data according to the motor car safety signal control data, and triggering conflict identification data are obtained;
step S3: performing risk conflict management and control architecture design based on the triggering conflict identification data to obtain a conflict management and control cache architecture; integrating the conflict control cache architecture to a motor car console to obtain a motor car conflict control platform;
Step S4: the collision data acquisition is carried out through the motor car collision management and control platform, so that motor car collision data are obtained; performing conflict avoidance design on a motor car control console based on motor car conflict data to obtain a conflict avoidance strategy; and constructing a conflict three-dimensional avoidance model of the motor car control console according to the conflict avoidance strategy to obtain the three-dimensional motor car conflict avoidance model.
According to the invention, by acquiring detailed motor car console design demand data, a design team can ensure accurate understanding of user demands. The method is beneficial to avoiding deviation in the design in the later period, improving the consistency of the system and the user expectation, and ensuring that the design of the control console meets corresponding safety requirements by considering safety standards and specifications by a design team when signal control safety adaptation is performed on the motor car control console based on design demand data. The method is favorable for preventing potential safety risks and reducing the occurrence probability of accidents, and the obtained motor car safety signal control data can effectively realize real-time signal control of the motor car through safety adaptation. This is critical to ensuring safety and controllability of the train during operation, and during the adaptation, the design team needs to ensure that the signal control data is consistent with the rest of the overall railcar system. This helps to prevent internal conflicts and ensure co-operation of the console with other vehicle components, as well as the design team considering future system expansibility during the process of demand data acquisition and security adaptation. This includes future demand changes that are considered so that the designed system can flexibly adapt to new demands in the future; by triggering conflict recognition on the motor car safety signal control data, a design team can find potential conflict problems before actual implementation. This helps to avoid accidents during actual operation, and to resolve factors that may lead to failure or unsafe behavior in advance, the resulting trigger conflict identification data provides specific information for the design team for potential conflicts in the system. By analyzing the data, a design team can perform optimization and debugging of the system, ensure normal operation of the motor car control circuit, and avoid the later change of the circuit structure or the increase of the cost of hardware resources by identifying and solving the trigger conflict in the control circuit in the design stage. The method is beneficial to improving the utilization efficiency of resources, reducing the maintenance and update cost of the system, and preventing and avoiding potential conflicts at the system level by designing a conflict management and control architecture. This helps to improve the stability and security of the system, reduce potential failures due to collisions, and the collision management and control platform integrates real-time collision monitoring and response mechanisms. Thanks to the conflict management and control buffer architecture, the system can more rapidly detect the conflict and take appropriate measures to ensure real-time safety in the running process of the train, the conflict management and control buffer architecture is integrated to the motor train console, and design teams and operators can intuitively know conflict data through interfaces. The system state recognition method is beneficial to improving the cognition of operators on the system state, so that the operators can better make decisions, and the integration of the whole system is ensured by integrating the conflict management and control platform with the motor car console. This helps to ensure co-operation between the various components, improving overall system performance, while reducing potential problems due to decentralized decisions; the system can collect and record conflict data among the motor cars in real time through the motor car conflict management and control platform, wherein the motor car conflict data comprise the conflict behavior of commands issued by a control console, based on the collected motor car conflict data, the system can conduct real-time conflict avoidance design analysis, the motor car control console can immediately make corresponding avoidance decisions, the response speed of the system to potential conflicts is improved, and the motor car control console can conduct intelligent three-dimensional model avoidance design by utilizing the conflict avoidance strategies. The system can simulate the motion track of the train in a three-dimensional space, identify potential conflict points, and propose an optimized avoidance scheme, and can gradually optimize the efficiency and safety of train operation by continuously analyzing conflict data and performing avoidance design. This helps to improve the performance level of the overall motor vehicle control system. Therefore, the invention is the optimization processing of the traditional three-dimensional model design method of the motor car control console, solves the problems that the traditional three-dimensional model design method of the motor car control console cannot effectively identify motor car control commands and cannot accurately trigger conflict avoidance of the motor car control commands, improves the effective identification of the motor car control commands and accurately triggers the conflict avoidance of the motor car control commands.
Preferably, step S1 comprises the steps of:
Step S11: acquiring design demand data of a motor car console;
step S12: performing control function demand analysis on the design demand data of the motor car console to obtain control function demand data;
Step S13: performing electrical structure demand design according to the control function demand data to obtain electrical structure design demand data;
Step S14: and carrying out signal control safety adaptation on the motor car control console based on the electrical structural design requirement data to obtain motor car safety signal control data.
According to the invention, the system can clearly and accurately know the requirements of users or operators on the motor car control system by acquiring the motor car control console design requirement data, the information on interface requirements, function expectations and operation flows is included, and the system can avoid missing key information by comprehensively acquiring the design requirement data, so that the motor car control console which meets the actual use requirements better can be designed, the control function requirement analysis is carried out on the design requirement data, and the system can deeply mine the meaning and the association behind the data, so that each function requirement is further refined. This helps to more accurately meet the actual operating and control requirements of the user during the design process, converting the control function requirements into electrical structural design requirements, which ensures that the electrical portion of the console matches the actual function requirements. The step is helpful to ensure the consistency of the motor car console in the design and implementation, avoids the condition that the requirements and the electrical structure are not matched, and performs signal control safety adaptation on the basis of the design requirements of the electrical structure so as to generate motor car safety signal control data. The step is helpful for guaranteeing the safety performance of the motor car console and ensuring that the signal control system can accurately and stably run. Through optimizing signal control, the system can more effectively identify and respond to various signals, the safety performance of the motor car is improved, and the combination of S13 and S14 enables the design of a motor car control console to pay attention to the functionality and also to consider the safety seriously. The method is beneficial to ensuring that the motor car control system meets the requirements of various functions and meets the related safety standards and requirements, and the implementation of the two steps is beneficial to solving the problems of electrical structure and signal control in the design stage, so that the problem of larger adjustment or reconstruction in the later development or implementation stage is avoided. This helps to improve project progress, reduces the cost of subsequent modifications, and can optimize system performance for design needs.
Preferably, step S14 comprises the steps of:
step S141: extracting signal characteristics of components from the electrical structure design requirement data to obtain signal characteristic data of the components;
step S142: performing signal difference analysis according to the signal characteristic data of the components to obtain signal difference data;
Step S143: carrying out signal time sequence fluctuation analysis based on the signal difference data to obtain signal time sequence fluctuation data;
Step S144: carrying out signal stable fluctuation range identification on the signal time sequence fluctuation data by using a preset signal fluctuation identification model to obtain signal stable fluctuation range data;
Step S145: setting signal frequency based on the signal stable fluctuation range data to obtain signal frequency setting data; carrying out communication protocol adaptation design according to the signal frequency setting data to obtain communication protocol adaptation data;
Step S146: and performing signal control safety adaptation on the motor car control console according to the communication protocol adaptation data and the signal frequency setting data to obtain motor car safety signal control data.
The invention S141 facilitates the accurate identification of the characteristics of each component by extracting the component signal characteristics of the electrical structural design requirement data. This is critical to ensuring proper use and configuration of components in the design, and by extracting component signal characteristics, potential problems such as component mismatch, characteristic drift, or performance fluctuations can be discovered early in the design phase, thereby reducing the later modification costs, and the signal difference analysis of S142 helps to determine differences between different components, which is critical to the selection and configuration of components in the design phase. This helps to ensure compatibility of components, avoid signal collision and instability, and through analysis of signal variability, can more easily locate inconsistencies or anomalies between components, thereby supporting subsequent problem investigation and system optimization, and signal timing fluctuation analysis of S143 helps to ensure that signals in the system remain consistent in timing. The method is important to components and systems which need accurate synchronization or cooperative work, particularly in the application of highly dependent time sequence relation, the performance of the system under different conditions can be better known by analyzing the time sequence fluctuation of signals, so that the design is optimized to improve the reliability and stability of the system; through a preset signal fluctuation identification model, the signal time sequence fluctuation data can be analyzed, and the stable fluctuation range of the signal is determined. This helps to understand the normal fluctuation range of the signal, thereby establishing a reference and judging an abnormal situation in the subsequent steps, determining the stable fluctuation range of the signal helps to maintain the stability of the system, reducing the erroneous or unstable behavior due to abnormal fluctuation, and using the signal stable fluctuation range data, it is possible to determine the signal frequency suitable for the system. The method is favorable for optimizing signal transmission and processing, avoiding frequency fluctuation exceeding the bearing capacity of the system, carrying out communication protocol adaptation design based on frequency setting data, and ensuring compatibility and stability between the communication protocol and equipment. Further, by combining the communication protocol adaptation data and the signal frequency setting data, the safety adaptation is performed on the motor car control console, the safety and the reliability of signal control are ensured, and the system performance is optimized by considering the signal fluctuation range, the frequency setting and the communication protocol. The method comprises the steps of stability of signal transmission, improvement of communication efficiency and guarantee of safety of a control console, wherein accurate control and adaptation of signals in each step are helpful for reducing the possibility of system faults, reliability and stability of the system are improved, and through stability analysis of the signals and proper frequency setting, the system can be ensured to meet relevant safety standards and specifications, and potential safety risks are reduced.
Preferably, the signal timing fluctuation analysis is performed based on the signal difference data, wherein the signal timing fluctuation analysis includes the following steps:
Performing signal spectrum conversion on the signal spectrum difference data to obtain signal spectrum difference data;
Carrying out signal fluctuation amplitude analysis on the signal spectrum difference data to obtain signal fluctuation amplitude data; extracting a fluctuation boundary according to the signal fluctuation amplitude data to obtain a fluctuation boundary data set;
Carrying out fluctuation boundary time sequence interval calculation on the fluctuation boundary data set to obtain fluctuation boundary time sequence interval data; boundary fluctuation trend evaluation is carried out on the fluctuation boundary time sequence interval data, so that boundary fluctuation trend data are obtained;
carrying out boundary fluctuation difference calculation according to the fluctuation boundary time sequence interval data to obtain signal boundary fluctuation difference data;
performing boundary fluctuation trend radial basis function interpolation processing based on the boundary fluctuation trend data and the signal boundary fluctuation difference value data to obtain signal boundary fluctuation interpolation data;
And carrying out signal time sequence fluctuation analysis based on the signal boundary fluctuation interpolation data to obtain signal time sequence fluctuation data.
The invention converts signal difference data into spectrum difference data through signal spectrum conversion. The method is helpful for knowing the distribution condition of the signals on the frequency domain, identifying the frequency components and the characteristics in the signals, enabling the frequency spectrum data to display the amplitude and the distribution condition of different frequency components, providing a basis for subsequent analysis, carrying out fluctuation amplitude analysis on the frequency spectrum difference data, and obtaining the fluctuation amplitude data of the signals. This means that the amplitude of the signal changes in a specific frequency range, knowing the fluctuation amplitude of the signal helps to evaluate the stability and fluctuation degree of the signal, helps to detect whether there is an abnormality or unusual signal change, and uses the fluctuation amplitude data to extract and define the boundary of signal fluctuation. These boundary data can determine in which amplitude ranges the signal is considered to be normal or abnormal, and extraction of the wave boundary data set helps establish a benchmark to identify and classify abnormal wave of the signal in subsequent steps. This is critical for monitoring and fault detection of the system, and by calculating the ripple boundary timing interval, the time interval between adjacent ripple boundaries can be obtained. The method is favorable for knowing the time characteristics of fluctuation, finding out the change rule among fluctuation boundaries, forming a time sequence by time sequence interval data, analyzing the time sequence data can reveal the periodicity, trend and abrupt time characteristics of the fluctuation boundaries, carrying out trend evaluation on the time sequence interval data of the fluctuation boundaries, and detecting the change trend of the boundary fluctuation. This helps determine whether the system or signal fluctuations are increasing, decreasing or remain stable, and boundary fluctuation difference data is obtained by calculating the difference in the fluctuation boundary timing intervals. This reflects the amplitude of variation between adjacent fluctuation boundaries, helps to quantify the intensity of boundary fluctuations, and boundary fluctuation difference data can be used to analyze the intensity of signal fluctuations, helping to identify the intensity and amplitude of variation of boundary fluctuations; and the radial basis function interpolation processing of the boundary fluctuation trend is carried out based on the boundary fluctuation trend data and the signal boundary fluctuation difference value data, so that the interpolation result is more continuous and smooth, and meanwhile, the boundary area can be analyzed more accurately, thereby being beneficial to predicting the trend of the signal boundary fluctuation more accurately. The system can better understand the evolution trend of boundary fluctuation through the interpolated data, thereby providing more reliable basis for future decision, being beneficial to recovering the lost detail information due to insufficient sampling in the signal, improving the integrity and usability of the data, and utilizing the interpolated signal boundary fluctuation data to perform time sequence fluctuation analysis, so that the time sequence characteristics of the signal can be more comprehensively identified. This includes periodic, frequency distributed, time and frequency domain features, by means of time-series fluctuation analysis, the fluctuation intensity of the signal can be evaluated. This helps to understand the fluctuating strength of the signal at different points in time, providing a reference for system optimization and improvement.
Preferably, step S2 comprises the steps of:
step S21: designing a control circuit according to the control data of the motor car safety signal to obtain the control circuit data of the motor car;
step S22: performing trigger condition simulation on the motor car control circuit data to obtain motor car control trigger condition data;
Step S23: and carrying out triggering conflict recognition on the motor car control circuit data according to the motor car control triggering condition data to obtain triggering conflict recognition data.
According to the invention, the performance of the motor car control circuit can be optimized by designing the control circuit according to the motor car safety signal control data. The control circuit is designed to meet the safety standard and specification of the motor car, and ensures that the motor car can safely run under various conditions. The method is beneficial to improving the overall safety of the motor car system, and the reliability of the system under various triggering conditions can be verified by simulating the triggering conditions of the motor car control circuit data. The method is beneficial to predicting and preventing potential problems in practical application, improving the stability and safety of the system, simulating trigger conditions is beneficial to evaluating the performance of the motor car control system under different working loads, optimizing the system configuration, ensuring that the motor car control system can stably run under various conditions, and the system can better cope with conflict conditions by carrying out trigger conflict identification on motor car control circuit data according to motor car control trigger condition data, improving the safety of the system, identifying the trigger conflict is beneficial to early finding and solving the potential problems, thereby reducing the possibility of failure of the system in the running process, improving the reliability and stability of the system, ensuring that the design of the motor car control system accords with relevant specifications and standards through conflict identification, and is beneficial to ensuring that the system can accord with relevant safety requirements in practical running.
Preferably, the present invention provides a three-dimensional model designing method and system based on a motor car console, for executing the three-dimensional model designing method based on a motor car console as described above, the three-dimensional model designing system based on a motor car console comprising:
the motor car signal adapting module is used for acquiring motor car control console design demand data; performing signal control safety adaptation on the motor car control console based on the motor car control console design requirement data to obtain motor car safety signal control data;
The triggering conflict identification module is used for carrying out triggering conflict identification on the motor car control circuit data according to the motor car safety signal control data to obtain triggering conflict identification data;
the risk conflict management and control architecture design module is used for carrying out risk conflict management and control architecture design based on the triggering conflict identification data to obtain a conflict management and control cache architecture; integrating the conflict control cache architecture to a motor car console to obtain a motor car conflict control platform;
the conflict avoidance design module is used for acquiring conflict data through the motor car conflict management and control platform to obtain motor car conflict data; performing conflict avoidance design on a motor car control console based on motor car conflict data to obtain a conflict avoidance strategy; and constructing a conflict three-dimensional avoidance model of the motor car control console according to the conflict avoidance strategy to obtain the three-dimensional motor car conflict avoidance model.
The method has the beneficial effects that by acquiring detailed motor car console design demand data, a design team can ensure accurate understanding of user demands. The method is beneficial to avoiding deviation in the design in the later period, improving the consistency of the system and the user expectation, and ensuring that the design of the control console meets corresponding safety requirements by considering safety standards and specifications by a design team when signal control safety adaptation is performed on the motor car control console based on design demand data. The method is favorable for preventing potential safety risks and reducing the occurrence probability of accidents, and the obtained motor car safety signal control data can effectively realize real-time signal control of the motor car through safety adaptation. This is critical to ensuring safety and controllability of the train during operation, and during the adaptation, the design team needs to ensure that the signal control data is consistent with the rest of the overall railcar system. This helps to prevent internal conflicts and ensure co-operation of the console with other vehicle components, as well as the design team considering future system expansibility during the process of demand data acquisition and security adaptation. This includes future demand changes that are considered so that the designed system can flexibly adapt to new demands in the future; by triggering conflict recognition on the motor car safety signal control data, a design team can find potential conflict problems before actual implementation. This helps to avoid accidents during actual operation, and to resolve factors that may lead to failure or unsafe behavior in advance, the resulting trigger conflict identification data provides specific information for the design team for potential conflicts in the system. By analyzing the data, a design team can perform optimization and debugging of the system, ensure normal operation of the motor car control circuit, and avoid the later change of the circuit structure or the increase of the cost of hardware resources by identifying and solving the trigger conflict in the control circuit in the design stage. The method is beneficial to improving the utilization efficiency of resources, reducing the maintenance and update cost of the system, and preventing and avoiding potential conflicts at the system level by designing a conflict management and control architecture. This helps to improve the stability and security of the system, reduce potential failures due to collisions, and the collision management and control platform integrates real-time collision monitoring and response mechanisms. Thanks to the conflict management and control buffer architecture, the system can more rapidly detect the conflict and take appropriate measures to ensure real-time safety in the running process of the train, the conflict management and control buffer architecture is integrated to the motor train console, and design teams and operators can intuitively know conflict data through interfaces. The system state recognition method is beneficial to improving the cognition of operators on the system state, so that the operators can better make decisions, and the integration of the whole system is ensured by integrating the conflict management and control platform with the motor car console. This helps to ensure co-operation between the various components, improving overall system performance, while reducing potential problems due to decentralized decisions; the system can collect and record conflict data among the motor cars in real time through the motor car conflict management and control platform, wherein the motor car conflict data comprise the conflict behavior of commands issued by a control console, based on the collected motor car conflict data, the system can conduct real-time conflict avoidance design analysis, the motor car control console can immediately make corresponding avoidance decisions, the response speed of the system to potential conflicts is improved, and the motor car control console can conduct intelligent three-dimensional model avoidance design by utilizing the conflict avoidance strategies. The system can simulate the motion track of the train in a three-dimensional space, identify potential conflict points, and propose an optimized avoidance scheme, and can gradually optimize the efficiency and safety of train operation by continuously analyzing conflict data and performing avoidance design. This helps to improve the performance level of the overall motor vehicle control system. Therefore, the invention is the optimization processing of the traditional three-dimensional model design method of the motor car control console, solves the problems that the traditional three-dimensional model design method of the motor car control console cannot effectively identify motor car control commands and cannot accurately trigger conflict avoidance of the motor car control commands, improves the effective identification of the motor car control commands and accurately triggers the conflict avoidance of the motor car control commands.
Drawings
FIG. 1 is a schematic flow chart of steps of a three-dimensional model design method based on a motor car console;
FIG. 2 is a flowchart illustrating the detailed implementation of step S3 in FIG. 1;
FIG. 3 is a flowchart illustrating the detailed implementation of step S31 in FIG. 2;
the achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
The following is a clear and complete description of the technical method of the present patent in conjunction with the accompanying drawings, and it is evident that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, are intended to fall within the scope of the present invention.
Furthermore, the drawings are merely schematic illustrations of the present invention and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus a repetitive description thereof will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. The functional entities may be implemented in software or in one or more hardware modules or integrated circuits or in different networks and/or processor methods and/or microcontroller methods.
It will be understood that, although the terms "first," "second," etc. may be used herein to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish one element from another element. For example, a first element could be termed a second element, and, similarly, a second element could be termed a first element, without departing from the scope of example embodiments. The term "and/or" as used herein includes any and all combinations of one or more of the associated listed items.
In order to achieve the above objective, please refer to fig. 1 to 3, a three-dimensional model design method and system based on a motor car console, the method comprises the following steps:
Step S1: acquiring design demand data of a motor car console; performing signal control safety adaptation on the motor car control console based on the motor car control console design requirement data to obtain motor car safety signal control data;
Step S2: triggering conflict identification is carried out on the motor car control circuit data according to the motor car safety signal control data, and triggering conflict identification data are obtained;
step S3: performing risk conflict management and control architecture design based on the triggering conflict identification data to obtain a conflict management and control cache architecture; integrating the conflict control cache architecture to a motor car console to obtain a motor car conflict control platform;
Step S4: the collision data acquisition is carried out through the motor car collision management and control platform, so that motor car collision data are obtained; performing conflict avoidance design on a motor car control console based on motor car conflict data to obtain a conflict avoidance strategy; and constructing a conflict three-dimensional avoidance model of the motor car control console according to the conflict avoidance strategy to obtain the three-dimensional motor car conflict avoidance model.
In the embodiment of the present invention, as described with reference to fig. 1, a step flow diagram of a three-dimensional model design method based on a motor car console according to the present invention is provided, and in this example, the three-dimensional model design method based on a motor car console includes the following steps:
Step S1: acquiring design demand data of a motor car console; performing signal control safety adaptation on the motor car control console based on the motor car control console design requirement data to obtain motor car safety signal control data;
In the embodiment of the invention, a conference is organized, the conference communicates with designers, engineers and related stakeholders, the expectations, the functional requirements and the performance indexes of the control console of the motor car are known, related documents, such as the previous design documents, technical specifications and industry standards, are analyzed, useful information is extracted as basic requirements, collected requirement information is arranged, the design requirements including functions, performances and safety aspects are ensured to be accurately and clearly reflected, safety adaptation of signal control is performed based on design requirement data, the rationality, the logic and the safety of the signals are considered, the control console is ensured to meet the related standards and specifications, motor car safety signal control data including the generation rules and the corresponding parameter settings of various signals are generated according to the adapted data, verification and examination are performed on the generated motor car safety signal control data, the compliance of the design requirements and the safety standards is ensured, the design documents are updated, the new signal control safety adaptation data is incorporated into the documents for use in the subsequent steps, and finally the motor car safety signal control data is obtained.
Step S2: triggering conflict identification is carried out on the motor car control circuit data according to the motor car safety signal control data, and triggering conflict identification data are obtained;
In the embodiment of the invention, relevant data of a motor car control circuit is collected, wherein the relevant data comprises a circuit diagram, a control signal transmission path and a device connection relation, motor car safety signal control data obtained in the previous step is applied to the circuit data, the association between a safety signal and the control circuit is established, a rule for triggering conflict is defined according to the characteristics of the control circuit and the requirements of the safety signal, the rule comprises a logic relation between signals and conditions for generating conflict, the motor car control circuit data is analyzed by utilizing the conflict rule, potential triggering conflict conditions are identified, triggering conflict identification data is generated, and the triggering conflict identification data comprises the occurrence position, possible reasons, occurrence time and the conflict of commands issued by a control console (wherein the command comprises sequential logic of the commands and whether the commands are in conflict).
Step S3: performing risk conflict management and control architecture design based on the triggering conflict identification data to obtain a conflict management and control cache architecture; integrating the conflict control cache architecture to a motor car console to obtain a motor car conflict control platform;
In the embodiment of the invention, the triggering conflict identification data obtained in the previous step is deeply analyzed, the type, frequency and influence of the conflict are known, the specific requirements of risk conflict management and control are definitely defined based on analysis results, the specific requirements comprise response time, conflict processing strategies and alarm mechanisms, a conflict management and control cache architecture is designed, the storage mode, the retrieval mechanism and the updating strategy of the conflict data are determined so as to support quick and effective conflict management, the designed conflict management and control cache architecture is implemented, the establishment of a database, the design of a data table and the setting of an index are included, the conflict management and control cache architecture is integrated into a motor car console system, the cooperation of the motor car console system and other components of a console is ensured, the interface test between the motor car console and the conflict management and control platform is performed, the accuracy and the stability of data transfer are ensured, and the verification test is performed on the integrated motor car conflict management and control platform so as to ensure that the motor car conflict management and control platform can normally operate and meet the design requirements.
Step S4: the collision data acquisition is carried out through the motor car collision management and control platform, so that motor car collision data are obtained; performing conflict avoidance design on a motor car control console based on motor car conflict data to obtain a conflict avoidance strategy; and constructing a conflict three-dimensional avoidance model of the motor car control console according to the conflict avoidance strategy to obtain the three-dimensional motor car conflict avoidance model.
In the embodiment of the invention, a data acquisition module is arranged in a motor car conflict management and control platform, so that conflict data in a motor car system can be ensured to be accurately acquired in real time, data acquisition is implemented, including but not limited to train position, speed, running direction and line state, operation instruction information issued by a control console is ensured, the acquired data has enough space-time resolution, a designed conflict avoidance scheme is embodied into a conflict avoidance strategy, the conflict avoidance strategy comprises triggering conditions, executing actions and priority information, and a three-dimensional motor car conflict avoidance model is constructed according to the conflict avoidance strategy. The time, space and train state dimensions are considered, so that the model can comprehensively reflect the conflict situation in the motor train system, the constructed three-dimensional motor train conflict avoidance model is subjected to verification test, historical data or simulation data are used for verifying the model, the validity and stability of the model are ensured, the three-dimensional motor train conflict avoidance model which passes verification is integrated into the motor train console system, and the three-dimensional motor train conflict avoidance model and other modules of the console are ensured to work cooperatively.
According to the invention, by acquiring detailed motor car console design demand data, a design team can ensure accurate understanding of user demands. The method is beneficial to avoiding deviation in the design in the later period, improving the consistency of the system and the user expectation, and ensuring that the design of the control console meets corresponding safety requirements by considering safety standards and specifications by a design team when signal control safety adaptation is performed on the motor car control console based on design demand data. The method is favorable for preventing potential safety risks and reducing the occurrence probability of accidents, and the obtained motor car safety signal control data can effectively realize real-time signal control of the motor car through safety adaptation. This is critical to ensuring safety and controllability of the train during operation, and during the adaptation, the design team needs to ensure that the signal control data is consistent with the rest of the overall railcar system. This helps to prevent internal conflicts and ensure co-operation of the console with other vehicle components, as well as the design team considering future system expansibility during the process of demand data acquisition and security adaptation. This includes future demand changes that are considered so that the designed system can flexibly adapt to new demands in the future; by triggering conflict recognition on the motor car safety signal control data, a design team can find potential conflict problems before actual implementation. This helps to avoid accidents during actual operation, and to resolve factors that may lead to failure or unsafe behavior in advance, the resulting trigger conflict identification data provides specific information for the design team for potential conflicts in the system. By analyzing the data, a design team can perform optimization and debugging of the system, ensure normal operation of the motor car control circuit, and avoid the later change of the circuit structure or the increase of the cost of hardware resources by identifying and solving the trigger conflict in the control circuit in the design stage. The method is beneficial to improving the utilization efficiency of resources, reducing the maintenance and update cost of the system, and preventing and avoiding potential conflicts at the system level by designing a conflict management and control architecture. This helps to improve the stability and security of the system, reduce potential failures due to collisions, and the collision management and control platform integrates real-time collision monitoring and response mechanisms. Thanks to the conflict management and control buffer architecture, the system can more rapidly detect the conflict and take appropriate measures to ensure real-time safety in the running process of the train, the conflict management and control buffer architecture is integrated to the motor train console, and design teams and operators can intuitively know conflict data through interfaces. The system state recognition method is beneficial to improving the cognition of operators on the system state, so that the operators can better make decisions, and the integration of the whole system is ensured by integrating the conflict management and control platform with the motor car console. This helps to ensure co-operation between the various components, improving overall system performance, while reducing potential problems due to decentralized decisions; the system can collect and record conflict data among the motor cars in real time through the motor car conflict management and control platform, wherein the motor car conflict data comprise the conflict behavior of commands issued by a control console, based on the collected motor car conflict data, the system can conduct real-time conflict avoidance design analysis, the motor car control console can immediately make corresponding avoidance decisions, the response speed of the system to potential conflicts is improved, and the motor car control console can conduct intelligent three-dimensional model avoidance design by utilizing the conflict avoidance strategies. The system can simulate the motion track of the train in a three-dimensional space, identify potential conflict points, and propose an optimized avoidance scheme, and can gradually optimize the efficiency and safety of train operation by continuously analyzing conflict data and performing avoidance design. This helps to improve the performance level of the overall motor vehicle control system. Therefore, the invention is the optimization processing of the traditional three-dimensional model design method of the motor car control console, solves the problems that the traditional three-dimensional model design method of the motor car control console cannot effectively identify motor car control commands and cannot accurately trigger conflict avoidance of the motor car control commands, improves the effective identification of the motor car control commands and accurately triggers the conflict avoidance of the motor car control commands.
Preferably, step S1 comprises the steps of:
Step S11: acquiring design demand data of a motor car console;
step S12: performing control function demand analysis on the design demand data of the motor car console to obtain control function demand data;
Step S13: performing electrical structure demand design according to the control function demand data to obtain electrical structure design demand data;
Step S14: and carrying out signal control safety adaptation on the motor car control console based on the electrical structural design requirement data to obtain motor car safety signal control data.
In the embodiment of the invention, an acquisition plan of demand data is determined, including coordination arrangement of related teams and personnel, so as to ensure that demand data of a motor car console design is comprehensively collected, communicated with end users of a motor car system and related stakeholders, expectations, demands and comments of the motor car system are collected, so as to acquire real and accurate user demand data, technical specifications of the motor car system are deeply researched, requirements of the console design including performance, reliability and safety are analyzed, the collected demand data are sorted and classified, design requirements of all aspects including but not limited to user interfaces, functional operation and system performance are defined, priority is given to different functional requirements, key functions are ensured to be met under limited resources, usability and user satisfaction of the system are improved, and according to control function requirements, defining parameters required by the electrical structure design, including power supply requirements and signal transmission standards, selecting hardware components meeting requirements, ensuring that the performance and reliability of the hardware components meet the system requirements, defining interfaces between an electrical structure and other system components, ensuring the integration and cooperative work of the system, considering the safety design of the system, including overcurrent protection and overheat protection, carrying out safety analysis on the electrical structure design, identifying potential safety risks, formulating corresponding safety control strategies, generating signal control data meeting the safety requirements of the system based on the requirements of the electrical structure design, ensuring that the system can safely operate under various conditions, considering the introduction of redundancy and backup mechanisms, improving the fault tolerance of the system, ensuring that the system can safely operate even under the condition of certain component faults, formulating a test plan of the signal control safety, the method comprises the steps of simulating an actual running environment, performing fault injection test and the like, and verifying the safety performance of the system.
According to the invention, the system can clearly and accurately know the requirements of users or operators on the motor car control system by acquiring the motor car control console design requirement data, the information on interface requirements, function expectations and operation flows is included, and the system can avoid missing key information by comprehensively acquiring the design requirement data, so that the motor car control console which meets the actual use requirements better can be designed, the control function requirement analysis is carried out on the design requirement data, and the system can deeply mine the meaning and the association behind the data, so that each function requirement is further refined. This helps to more accurately meet the actual operating and control requirements of the user during the design process, converting the control function requirements into electrical structural design requirements, which ensures that the electrical portion of the console matches the actual function requirements. The step is helpful to ensure the consistency of the motor car console in the design and implementation, avoids the condition that the requirements and the electrical structure are not matched, and performs signal control safety adaptation on the basis of the design requirements of the electrical structure so as to generate motor car safety signal control data. The step is helpful for guaranteeing the safety performance of the motor car console and ensuring that the signal control system can accurately and stably run. Through optimizing signal control, the system can more effectively identify and respond to various signals, the safety performance of the motor car is improved, and the combination of S13 and S14 enables the design of a motor car control console to pay attention to the functionality and also to consider the safety seriously. The method is beneficial to ensuring that the motor car control system meets the requirements of various functions and meets the related safety standards and requirements, and the implementation of the two steps is beneficial to solving the problems of electrical structure and signal control in the design stage, so that the problem of larger adjustment or reconstruction in the later development or implementation stage is avoided. This helps to improve project progress, reduces the cost of subsequent modifications, and can optimize system performance for design needs.
Preferably, step S14 comprises the steps of:
step S141: extracting signal characteristics of components from the electrical structure design requirement data to obtain signal characteristic data of the components;
step S142: performing signal difference analysis according to the signal characteristic data of the components to obtain signal difference data;
Step S143: carrying out signal time sequence fluctuation analysis based on the signal difference data to obtain signal time sequence fluctuation data;
Step S144: carrying out signal stable fluctuation range identification on the signal time sequence fluctuation data by using a preset signal fluctuation identification model to obtain signal stable fluctuation range data;
Step S145: setting signal frequency based on the signal stable fluctuation range data to obtain signal frequency setting data; carrying out communication protocol adaptation design according to the signal frequency setting data to obtain communication protocol adaptation data;
Step S146: and performing signal control safety adaptation on the motor car control console according to the communication protocol adaptation data and the signal frequency setting data to obtain motor car safety signal control data.
In the embodiment of the invention, relevant component signal information is extracted from the electrical structure design requirement data, including voltage, current and frequency, the characteristics of the component signal to be extracted, such as the characteristics of amplitude, frequency and waveform of the signal, are definitely defined, proper sensor equipment is selected for measuring and collecting the actual data of the component signal, the data collecting equipment is configured to ensure that the data collecting equipment can accurately and stably obtain the real-time data of the component signal, the actual component signal is measured, the obtained data is recorded, the signal characteristics of the component in a normal working state and a possible abnormal working state are included, and the evaluation index of the signal difference is definitely defined, for example, the quantitative index and the threshold value of the difference are used for identifying the difference of the signals according to the difference of the signal characteristic data of the components, quantitatively or qualitatively analyzing the difference data, visualizing the difference data in the form of a graph, a curve and the like, facilitating the visual understanding of the difference of the signals of the components by engineers or related personnel, using the signal difference data obtained in the step S142 as input, ensuring the quality and the integrity of the data, determining the specific definition of the time sequence fluctuation, including the time scale and the amplitude range of the fluctuation, filtering the difference data to remove high-frequency noise or abnormal fluctuation, retaining the key time sequence fluctuation information, and performing time domain analysis, including a waveform diagram, Amplitude variation curves, etc., to identify the signal's fluctuation characteristics in time sequence, performing frequency domain analysis, such as using fourier transform, to obtain the signal's frequency domain fluctuation characteristics, designing or selecting a suitable signal fluctuation identification model that should be able to identify the signal's stable fluctuation range, constructed from historical signal fluctuation data and a random deep-seated algorithm, using the known stable signal fluctuation range and unstable signal fluctuation range data to provide adequate training samples for the model, training the signal fluctuation identification model using the training data, adjusting model parameters to enable accurate discrimination between stable and unstable fluctuations, verifying the model by using a verification set, carrying out necessary adjustment according to a verification result, ensuring the accuracy of the fluctuation range identification of the model under different conditions, deploying the trained fluctuation identification model into an actual system to identify real-time signal time sequence fluctuation data, identifying the signal time sequence fluctuation data obtained in the step S143 by using the deployed model to obtain signal stable fluctuation range data, mapping the signal stable fluctuation range data to a corresponding frequency range, which relates to defining a mapping relation between the frequency range and the fluctuation range to ensure that frequency setting data reflects the stability of signal fluctuation, and according to the mapped signal fluctuation range, setting corresponding signal frequency, which includes considering the amplitude and the period factor of fluctuation, ensuring that the frequency setting meets the requirements of a system, converting the mapped signal fluctuation range data into specific signal frequency setting data, and designing an adaptation scheme related to a communication protocol by utilizing the frequency setting data. The method involves determining communication protocol, data format, communication frequency, generating communication protocol adaptation data according to designed adaptation scheme, including transmitting and receiving data format, protocol specification, ensuring that the motor car console has an interface adapting to communication protocol, capable of receiving and transmitting corresponding signal data, resolving the received signal data into a format which can be understood by the console, converting control instructions to be transmitted into communication protocol format, formulating security adaptation rules, considering signal frequency setting data, communication protocol adaptation data and operating characteristics of the motor car console, ensuring that the generated control data can ensure safe operation of the motor car under various conditions, and generating final motor car safety signal control data according to the analyzed signal data and the safety adaptation rule.
The invention S141 facilitates the accurate identification of the characteristics of each component by extracting the component signal characteristics of the electrical structural design requirement data. This is critical to ensuring proper use and configuration of components in the design, and by extracting component signal characteristics, potential problems such as component mismatch, characteristic drift, or performance fluctuations can be discovered early in the design phase, thereby reducing the later modification costs, and the signal difference analysis of S142 helps to determine differences between different components, which is critical to the selection and configuration of components in the design phase. This helps to ensure compatibility of components, avoid signal collision and instability, and through analysis of signal variability, can more easily locate inconsistencies or anomalies between components, thereby supporting subsequent problem investigation and system optimization, and signal timing fluctuation analysis of S143 helps to ensure that signals in the system remain consistent in timing. The method is important to components and systems which need accurate synchronization or cooperative work, particularly in the application of highly dependent time sequence relation, the performance of the system under different conditions can be better known by analyzing the time sequence fluctuation of signals, so that the design is optimized to improve the reliability and stability of the system; through a preset signal fluctuation identification model, the signal time sequence fluctuation data can be analyzed, and the stable fluctuation range of the signal is determined. This helps to understand the normal fluctuation range of the signal, thereby establishing a reference and judging an abnormal situation in the subsequent steps, determining the stable fluctuation range of the signal helps to maintain the stability of the system, reducing the erroneous or unstable behavior due to abnormal fluctuation, and using the signal stable fluctuation range data, it is possible to determine the signal frequency suitable for the system. The method is favorable for optimizing signal transmission and processing, avoiding frequency fluctuation exceeding the bearing capacity of the system, carrying out communication protocol adaptation design based on frequency setting data, and ensuring compatibility and stability between the communication protocol and equipment. Further, by combining the communication protocol adaptation data and the signal frequency setting data, the safety adaptation is performed on the motor car control console, the safety and the reliability of signal control are ensured, and the system performance is optimized by considering the signal fluctuation range, the frequency setting and the communication protocol. The method comprises the steps of stability of signal transmission, improvement of communication efficiency and guarantee of safety of a control console, wherein accurate control and adaptation of signals in each step are helpful for reducing the possibility of system faults, reliability and stability of the system are improved, and through stability analysis of the signals and proper frequency setting, the system can be ensured to meet relevant safety standards and specifications, and potential safety risks are reduced.
Preferably, the signal timing fluctuation analysis is performed based on the signal difference data, wherein the signal timing fluctuation analysis includes the following steps:
Performing signal spectrum conversion on the signal spectrum difference data to obtain signal spectrum difference data;
Carrying out signal fluctuation amplitude analysis on the signal spectrum difference data to obtain signal fluctuation amplitude data; extracting a fluctuation boundary according to the signal fluctuation amplitude data to obtain a fluctuation boundary data set;
Carrying out fluctuation boundary time sequence interval calculation on the fluctuation boundary data set to obtain fluctuation boundary time sequence interval data; boundary fluctuation trend evaluation is carried out on the fluctuation boundary time sequence interval data, so that boundary fluctuation trend data are obtained;
carrying out boundary fluctuation difference calculation according to the fluctuation boundary time sequence interval data to obtain signal boundary fluctuation difference data;
performing boundary fluctuation trend radial basis function interpolation processing based on the boundary fluctuation trend data and the signal boundary fluctuation difference value data to obtain signal boundary fluctuation interpolation data;
And carrying out signal time sequence fluctuation analysis based on the signal boundary fluctuation interpolation data to obtain signal time sequence fluctuation data.
In the embodiment of the invention, a fourier transform or other spectrum analysis method is utilized to convert a signal from a time domain to a frequency domain to obtain signal spectrum data, which can be realized by using a corresponding mathematical tool or a signal processing library, the obtained signal spectrum data is compared with a reference spectrum or a reference spectrum, spectrum difference data is calculated, the fluctuation amplitude of the spectrum difference data is calculated, the indexes such as an amplitude spectrum, a root mean square value and the like are calculated to represent the fluctuation condition of the signal, and the signal fluctuation amplitude data is analyzed to identify the boundary of fluctuation. This involves setting a threshold, extracting a fluctuation boundary dataset from the analysis of the fluctuation boundary using a statistical method. This may be information of a time point on a time domain, a frequency range on a frequency domain, etc. to describe a fluctuation characteristic of the signal; and carrying out differential operation on time points or frequency ranges in the fluctuation boundary data set to obtain time sequence interval data between adjacent fluctuation boundaries. This can be achieved by calculating the difference between adjacent time points, trend evaluating the fluctuation boundary timing interval data. This includes trend line fitting, slope calculation to capture trend information of boundary fluctuations, and calculation of differences between adjacent fluctuation boundaries using the fluctuation boundary timing interval data. This can be achieved by simple differential operations or other difference calculation methods, while for trend assessment, suitable trend models, such as linear trend, polynomial trend, can be selected to reflect the overall trend of the fluctuation, and suitable radial basis function interpolation methods, such as gaussian radial basis function, multi-radial basis function, can be selected. And taking the boundary fluctuation trend data and the signal boundary fluctuation difference value data as interpolation inputs, generating signal boundary fluctuation interpolation data, and adjusting parameters of an interpolation method according to specific conditions so as to obtain more accurate and reasonable interpolation results. The method comprises the steps of calculating fluctuation frequency spectrum, fluctuation amplitude and fluctuation period related information of a signal according to the smoothness degree of an interpolation method and density parameters of interpolation points, explaining a result of time sequence fluctuation analysis, understanding fluctuation characteristics of the signal, detecting potential periodic or trending changes, and finally obtaining time sequence fluctuation data of the signal.
The invention converts signal difference data into spectrum difference data through signal spectrum conversion. The method is helpful for knowing the distribution condition of the signals on the frequency domain, identifying the frequency components and the characteristics in the signals, enabling the frequency spectrum data to display the amplitude and the distribution condition of different frequency components, providing a basis for subsequent analysis, carrying out fluctuation amplitude analysis on the frequency spectrum difference data, and obtaining the fluctuation amplitude data of the signals. This means that the amplitude of the signal changes in a specific frequency range, knowing the fluctuation amplitude of the signal helps to evaluate the stability and fluctuation degree of the signal, helps to detect whether there is an abnormality or unusual signal change, and uses the fluctuation amplitude data to extract and define the boundary of signal fluctuation. These boundary data can determine in which amplitude ranges the signal is considered to be normal or abnormal, and extraction of the wave boundary data set helps establish a benchmark to identify and classify abnormal wave of the signal in subsequent steps. This is critical for monitoring and fault detection of the system, and by calculating the ripple boundary timing interval, the time interval between adjacent ripple boundaries can be obtained. The method is favorable for knowing the time characteristics of fluctuation, finding out the change rule among fluctuation boundaries, forming a time sequence by time sequence interval data, analyzing the time sequence data can reveal the periodicity, trend and abrupt time characteristics of the fluctuation boundaries, carrying out trend evaluation on the time sequence interval data of the fluctuation boundaries, and detecting the change trend of the boundary fluctuation. This helps determine whether the system or signal fluctuations are increasing, decreasing or remain stable, and boundary fluctuation difference data is obtained by calculating the difference in the fluctuation boundary timing intervals. This reflects the amplitude of variation between adjacent fluctuation boundaries, helps to quantify the intensity of boundary fluctuations, and boundary fluctuation difference data can be used to analyze the intensity of signal fluctuations, helping to identify the intensity and amplitude of variation of boundary fluctuations; and the radial basis function interpolation processing of the boundary fluctuation trend is carried out based on the boundary fluctuation trend data and the signal boundary fluctuation difference value data, so that the interpolation result is more continuous and smooth, and meanwhile, the boundary area can be analyzed more accurately, thereby being beneficial to predicting the trend of the signal boundary fluctuation more accurately. The system can better understand the evolution trend of boundary fluctuation through the interpolated data, thereby providing more reliable basis for future decision, being beneficial to recovering the lost detail information due to insufficient sampling in the signal, improving the integrity and usability of the data, and utilizing the interpolated signal boundary fluctuation data to perform time sequence fluctuation analysis, so that the time sequence characteristics of the signal can be more comprehensively identified. This includes periodic, frequency distributed, time and frequency domain features, by means of time-series fluctuation analysis, the fluctuation intensity of the signal can be evaluated. This helps to understand the fluctuating strength of the signal at different points in time, providing a reference for system optimization and improvement.
Preferably, step S2 comprises the steps of:
step S21: designing a control circuit according to the control data of the motor car safety signal to obtain the control circuit data of the motor car;
step S22: performing trigger condition simulation on the motor car control circuit data to obtain motor car control trigger condition data;
Step S23: and carrying out triggering conflict recognition on the motor car control circuit data according to the motor car control triggering condition data to obtain triggering conflict recognition data.
In the embodiment of the invention, control data of a motor car safety signal is collected, comprising sensor input, control logic and output, data analysis is carried out, system requirements and functions are known, basic requirements of a control circuit are determined, the overall structure and the functional module of the control circuit are designed according to analysis results, proper electronic elements such as logic gates, triggers and counters are selected for circuit design, the correctness and stability of the design are verified by using a circuit simulation tool, the circuit design is optimized, the performance and safety standard of a motor car system are ensured to be met, and specific data representation of the motor car control circuit including element values, connection modes and control logic information is generated according to the final design; the method comprises the steps of importing motor car control circuit data into a simulation tool, ensuring the readiness of a simulation environment, setting various possible trigger conditions, simulating motor car control circuit responses under different situations, considering normal working states and abnormal conditions such as sensor faults and power supply fluctuation, and recording the simulation result of each trigger condition, including circuit output states and trigger time; and (3) considering the relation between different trigger conditions and the caused conflict situation, identifying potential conflict, for example, a plurality of trigger conditions simultaneously meet the caused circuit conflict, generating trigger conflict identification data according to the result of conflict identification, and recording the conditions and related information of the occurrence of the conflict.
According to the invention, the performance of the motor car control circuit can be optimized by designing the control circuit according to the motor car safety signal control data. The control circuit is designed to meet the safety standard and specification of the motor car, and ensures that the motor car can safely run under various conditions. The method is beneficial to improving the overall safety of the motor car system, and the reliability of the system under various triggering conditions can be verified by simulating the triggering conditions of the motor car control circuit data. The method is beneficial to predicting and preventing potential problems in practical application, improving the stability and safety of the system, simulating trigger conditions is beneficial to evaluating the performance of the motor car control system under different working loads, optimizing the system configuration, ensuring that the motor car control system can stably run under various conditions, and the system can better cope with conflict conditions by carrying out trigger conflict identification on motor car control circuit data according to motor car control trigger condition data, improving the safety of the system, identifying the trigger conflict is beneficial to early finding and solving the potential problems, thereby reducing the possibility of failure of the system in the running process, improving the reliability and stability of the system, ensuring that the design of the motor car control system accords with relevant specifications and standards through conflict identification, and is beneficial to ensuring that the system can accord with relevant safety requirements in practical running.
Preferably, step S23 comprises the steps of:
Step S231: performing trigger execution logic analysis on the control trigger condition data of the motor car to obtain trigger execution logic data;
Step S232: performing priority calculation on the trigger execution logic data by using a trigger condition level algorithm to obtain trigger execution priority data;
step S233: performing equivalent trigger execution simulation according to the trigger execution priority level data to obtain equivalent execution simulation data;
Step S234: acquiring historical event risk data; performing influence risk assessment on the level execution simulation data according to the historical event risk data to obtain level execution risk degree data;
step S235: and carrying out triggering conflict recognition on the motor car control circuit data according to the level execution risk degree data to obtain triggering conflict recognition data.
Analyzing trigger condition data of motor car control, including logic relation and execution action of each trigger condition, analyzing logic relation among trigger conditions, determining logic operation to be executed under different conditions, considering concurrent execution and sequential execution conditions, generating trigger execution logic data according to analysis results, including mapping relation of trigger conditions and execution logic, formulating a trigger condition grade algorithm, considering importance and emergency degree among conditions, determining grade division standard of different trigger conditions, carrying out grade calculation on conditions in the trigger execution logic data according to the designed trigger condition grade algorithm, determining priority grade of each trigger condition, associating the calculated trigger condition priority grade with the execution logic data, and generating trigger execution priority grade data; determining a test scene of the same-level trigger execution simulation, wherein the test scene comprises a specific trigger condition combination, executing the same level of the selected trigger condition by a simulation system according to trigger execution priority level data, recording the execution state and result of each step in the simulation process, recording detailed data of the same-level trigger execution simulation, comprising an execution sequence, the execution result of each step and time information used, collecting historical event data, comprising the occurrence time, the type and the influence degree of an event, carrying out risk assessment on the same-level execution simulation data by utilizing the historical event risk data, analyzing risks possibly involved in the simulation execution process, evaluating the influence degree, generating the same-level execution risk degree data according to the evaluation result, comprising the risk level executed by each trigger condition, identifying the possible trigger conflict situation by using the same-level execution risk degree data, analyzing the control circuit data of the motor vehicle, particularly focusing on the condition combination possibly causing the trigger conflict, generating trigger conflict identification data according to the analysis result, and definitely judging the conflicting trigger condition combination and influence of the trigger condition combination, and finally obtaining the trigger conflict identification data.
According to the invention, the accuracy of the trigger execution logic can be ensured by carrying out logic analysis on the trigger condition data of the motor car control. This helps to prevent system failure or bad operation due to logic errors, improves reliability and safety of the motor car system, and analyzes the trigger execution logic so that the working principle of the system is more clearly understood. The method is crucial to maintenance and debugging of the system, helps engineers understand the operation mode of the system, is easier to remove faults and optimize performance, performs priority calculation on the trigger execution logic data by using a trigger condition level algorithm, and can optimize the operation sequence of the system. This helps ensure that critical operations are performed in time when needed, improving the overall efficiency and performance of the system, which can more effectively cope with emergency situations by prioritizing the different trigger execution logics. The operation in the emergency can obtain higher priority, so that the system can respond quickly and reliably at the key moment, the system resources can be better managed by calculating the priority, and the system can effectively allocate the resources when processing a plurality of trigger conditions, thereby improving the availability and stability of the system; by simulating the same-level triggering execution, the system can perform performance verification, and the system can be ensured to normally operate according to design requirements when in actual execution. This is important to detect potential performance problems and bottlenecks, and thus to discover and resolve possible execution problems in advance, with simulated execution helping to verify the reliability of the system under comparable triggering conditions. By simulating various conditions, the stability and the robustness of the system in a complex environment can be evaluated, the reliability of the system is further improved, and the simulation data can be used for system debugging and performance optimization. By observing the results of simulation execution, potential problems can be identified and the system can be optimized to increase its efficiency and response speed, and by acquiring historical event risk data, the system can learn the training of past similar events to better address similar risks. This helps to improve the design and implementation strategy of the system to reduce the possible risk, and to use historical event risk data to influence risk assessment on the level-implemented simulation data, the system being able to predict potential risks and problems. This helps to develop an effective risk management strategy, take measures in advance to reduce the risk level, and by analyzing the risk level of the simulation data executed by the same level, the system can provide powerful support for decision making. This helps take appropriate measures during the execution phase to minimize possible risks and losses; by carrying out trigger conflict recognition on the motor car control circuit data, trigger conflicts which possibly cause system abnormality or failure can be timely recognized. This helps to prevent safety accidents and malfunctions due to collisions, thereby improving the safety of the motor vehicle, and identifying and resolving triggering collisions may reduce the risk of accidents due to control circuit problems. This helps to protect passengers and vehicles, reduce accident losses, and optimize the control strategy of the motor vehicle by analyzing the trigger conflict identification data. The potential conflict problem is identified and solved, the responsiveness and the robustness of the control system can be improved, the reliability of the whole motor train system is further improved, and the triggering conflict in the control circuit is identified and processed, so that the occurrence rate of system faults and adverse events is reduced, the service life of the motor train is prolonged, and the maintenance cost is reduced.
Preferably, the trigger condition ranking algorithm in step S232 is as follows:
Where L represents a trigger execution priority result value, i represents an index, n represents the number of items, d i represents the logic complexity of the ith trigger execution logic data, a i represents the logic hierarchy value of the ith trigger execution logic data, w i represents the weight coefficient of the ith trigger execution logic data, b i represents the execution difficulty coefficient of the ith trigger execution logic data, t represents a time value, ω represents the error adjustment value of the trigger condition level algorithm.
The invention constructs a trigger condition grade algorithm which comprehensively considers factors such as logic complexity, hierarchy, weight, execution difficulty, time and the like, so that the priority calculation of the trigger conditions is more comprehensive and accurate, and different trigger execution logics can be reasonably ordered and distributed according to specific requirements and priority requirements by properly setting and adjusting the parameters. The algorithm fully considers index i for iteratively calculating the impact of each trigger execution logic data. By iterating each index, the algorithm can apply the corresponding weight, complexity parameters to each trigger logic and incorporate them into the final result calculation. The index i is used for ensuring that the logic data is properly processed for each trigger execution, so that the algorithm can comprehensively consider all logic data; the number of entries n, the total number of trigger execution logic data. By determining the amount of trigger execution logic data, the algorithm may take all logic data into account in the calculation and incorporate them into the resulting calculation. The function of the parameter n is to provide a context for the algorithm calculation, ensure that all logic data is taken into consideration, and thus obtain a more accurate trigger condition priority result; logic complexity d i of the ith trigger execution logic data, the parameter representing the complexity of the trigger logic, a higher complexity value meaning that the trigger execution logic is more complex, possibly requiring more computing resources or time to execute, by taking the complexity into account, the algorithm can evaluate the priority of the trigger condition more accurately and ensure that the more complex logic gets the appropriate weight; the ith trigger performs the logical hierarchy value a i of the logical data, which represents the hierarchy of the trigger logic. Higher hierarchy values generally represent more important logic, requiring higher priority, and by taking the hierarchy values into account, the algorithm can assign appropriate weights to different trigger conditions according to the logic hierarchy to ensure that higher hierarchy logic has higher priority; the weight coefficient w i of the ith trigger execution logic data, which represents the weights of different trigger logics, can be used for adjusting the contribution degree of different logics to the whole result, and can be used for distributing higher weight to important logics by adjusting the weight coefficient, so that the logics are more important in calculating the priority; the execution difficulty coefficient b i of the ith trigger execution logic data, which represents the execution difficulty of the trigger logic. A higher difficulty factor means that more resources or more complex computations may be required to perform the logic. By considering the execution difficulty, the algorithm can pay more attention to logic which is difficult to execute when calculating the priority, so that reasonable resource allocation is ensured; the time value t, the introduction of which enables the algorithm to take into account the factors of time. For example, by integrating part of the time, the algorithm can evaluate its priority based on the past execution of the logic. The change in time value may also affect the logic weight that decays over time, thereby ensuring that older logic gradually decays in calculating priority; the error adjustment value omega of the trigger condition level algorithm is used for performing error adjustment on the trigger condition level algorithm. By adjusting the error adjustment value, the whole result can be finely adjusted so as to better reflect the actual situation.
Preferably, step S3 comprises the steps of:
Step S31: performing risk conflict management and control architecture design based on the triggering conflict identification data to obtain a risk conflict management and control architecture;
step S32: carrying out data caching processing on the risk conflict management and control framework by using a distributed cache component to obtain a conflict management and control cache framework;
step S33: and integrating the conflict control cache architecture into a motor car console to obtain a motor car conflict control platform.
As an example of the present invention, referring to fig. 2, the step S3 in this example includes:
Step S31: performing risk conflict management and control architecture design based on the triggering conflict identification data to obtain a risk conflict management and control architecture;
In the embodiment of the invention, the triggering conflict identification data obtained in the step S235 is utilized to analyze the triggering conflict identification data in detail, the characteristics and influence factors of each conflict are known, various risk conflicts existing in the system are identified and listed, including triggering conditions, influence ranges and emergency degrees, a strategy which can be adopted in a design or execution stage is proposed so as to avoid triggering conflict occurrence, a real-time monitoring mechanism of the system is designed, a periodic detection strategy of historical event data is aimed at, a series of relieving measures are formulated, the influences of the historical event data can be responded and relieved rapidly when the conflict occurs, specific system modules are formulated for realizing monitoring, identification, analysis and processing of risk conflict, a data flow is designed, the triggering conflict identification data can be ensured to be processed by all modules of the system smoothly, a decision flow of risk conflict management and control is defined, the decision flow comprises verification of triggering conditions, conflict identification, risk assessment and execution of corresponding measures, and JAVA and rear-end development technology platform and tool are selected so as to realize a risk conflict management and control architecture.
Step S32: carrying out data caching processing on the risk conflict management and control framework by using a distributed cache component to obtain a conflict management and control cache framework;
In the embodiment of the invention, which data in a system need to be cached to support risk conflict management and control is determined, different types of data, such as configuration information, trigger conflict data and conflict analysis results, a distributed cache component, such as Redis, memcached, hazelcast, is selected, a cache hierarchical structure is designed, the data reading efficiency is improved, a storage mode of the data in the cache, such as a key value pair, a data structure and a cache failure strategy, a synchronization mechanism of the data is realized, consistency of the data in the cache and source data is ensured, a strategy of loading the data into the cache is determined, preloading and lazy loading can be adopted, performance test on a cache architecture, including reading speed, writing speed and concurrent processing capacity is performed, necessary optimization is performed according to the performance test results, the cache size and the storage strategy are related, the deployment scheme of the cache component is formulated, the consistency with the system architecture is ensured, and finally the conflict management and control cache architecture is obtained.
Step S33: and integrating the conflict control cache architecture into a motor car console to obtain a motor car conflict control platform.
In the embodiment of the invention, the specific functions and data of the conflict control cache architecture which are required to be integrated by the motor car control console are determined, the interfaces and the data transmission modes between the motor car control console and the conflict control cache architecture are defined, the software components and the dependence libraries which are required by the motor car control console and the conflict control cache architecture are ensured to be installed and configured, the system hardware is ensured to meet the performance requirements of the motor car control console and the conflict control cache architecture, the communication protocol between the motor car control console and the conflict control cache architecture is designed and defined, the data format and the transmission modes are included, the mapping relation between the data of the motor car control console and the data of the conflict control cache architecture is defined, the interfaces between the motor car control console and the conflict control cache architecture are developed, the data can be accurately transmitted and interacted, the motor car control console can synchronize the data in the cache architecture in real time or at fixed time according to the requirement, the mechanism of data synchronization is formulated, the components of the motor car conflict control platform are ensured to be integrated, the whole system can be ensured to work cooperatively, and the motor car conflict control platform is obtained.
According to the invention, through the design of the risk conflict management and control architecture based on the trigger conflict identification data, the system can more accurately identify, analyze and manage potential conflicts. This helps to improve the perceptibility of various risks, thereby reducing the risk of accidents and faults, and when constructing a risk conflict management and control architecture, it can be considered to design a system with good scalability so as to accommodate possible future demand changes. The expandability is beneficial to the system to keep high-efficiency operation in an continuously-evolved environment, and the distributed cache component is utilized to perform data cache processing on the risk conflict management and control framework, so that the reading and inquiring speed of data can be remarkably improved. The method is beneficial to realizing real-time conflict management and control, so that the system can quickly respond to potential conflicts and take necessary measures, the load of the system on databases and other resources can be reduced by the cache processing, and the performance and stability of the system are improved. The method is crucial to the efficient execution of conflict management and control tasks in a high-load period, and a conflict management and control cache architecture is integrated to a motor car console, so that a unified and centralized control platform is realized. The system management and monitoring are simplified, the operation and maintenance efficiency is improved, and the conflict management and control platform integrated to the motor car console is provided with an intuitive user interface and friendly operation modes, so that operators can quickly understand and cope with potential conflict situations, and the operation efficiency is improved.
Preferably, step S31 comprises the steps of:
Step S311: carrying out state identification on the motor car according to the triggering conflict identification data to obtain motor car state identification data;
Step S312: according to the motor car state identification data, triggering conflict factor analysis is carried out on the triggering conflict identification data, and triggering conflict factor data are obtained;
Step S313: carrying out data weighting on the triggering conflict factor data by using a preset conflict risk weight model to obtain triggering conflict weighting factor data;
Step S314: setting response time of the triggering conflict weighting factor data to obtain triggering conflict response time data; generating a conflict processing mechanism according to the triggering conflict weighting factor data to obtain a triggering conflict processing mechanism;
Step S315: dividing a processing module of the trigger conflict processing mechanism based on the trigger conflict response time data to obtain a time response conflict processing module;
Step S316: and designing a risk conflict management and control architecture based on the time response conflict processing module to obtain the risk conflict management and control architecture.
As an example of the present invention, referring to fig. 3, the step S31 in this example includes:
Step S311: carrying out state identification on the motor car according to the triggering conflict identification data to obtain motor car state identification data;
In the embodiment of the invention, trigger conflict identification data is acquired, the trigger conflict identification data comprises various sensor data and position information of a motor car, received control console instruction information, characteristics related to the motor car state, such as speed, acceleration, position and instruction level, are extracted from the acquired data, the most representative characteristics are selected according to domain knowledge and data analysis, a motor car state identification model is established by using a machine learning model (such as a support vector machine and a neural network) method, the model is deployed into an actual system, and the motor car state is identified in real time, so that the motor car state identification data is obtained.
Step S312: according to the motor car state identification data, triggering conflict factor analysis is carried out on the triggering conflict identification data, and triggering conflict factor data are obtained;
In the embodiment of the invention, the motor car state identification data is acquired, the current running state, speed, acceleration and command level of the motor car are included, a trigger conflict factor analysis model is designed based on the motor car state identification data, the model can identify the conflict-causing factors, the model can be realized based on rules, statistical methods or machine learning technologies, the motor car state identification data is utilized for carrying out conflict factor analysis, the factors possibly causing the conflict are identified, the relative position, speed difference and acceleration between motor cars and command conflict are considered, the analysis result of the trigger conflict factors is output as trigger conflict factor data, the trigger conflict factor data comprises specific factors and related information causing the conflict, and the trigger conflict factor data is obtained.
Step S313: carrying out data weighting on the triggering conflict factor data by using a preset conflict risk weight model to obtain triggering conflict weighting factor data;
In the embodiment of the invention, a preset conflict risk weight model is determined, the model is used for distributing weights to the trigger conflict factors, the relative weights of different conflict factors are set according to system requirements and domain knowledge, the influence degree of the relative weights on the conflict risk is reflected, the trigger conflict factor data obtained in the step S312 and the corresponding weights are subjected to weighted calculation, the weighting process can adopt simple linear weighting or other more complex weighting modes, trigger conflict weighting factor data is output according to the design of the weight model, the weighting value of each conflict factor is included, the contribution of the trigger conflict weighting factor data to the whole conflict risk is reflected, and finally the trigger conflict weighting factor data is obtained.
Step S314: setting response time of the triggering conflict weighting factor data to obtain triggering conflict response time data; generating a conflict processing mechanism according to the triggering conflict weighting factor data to obtain a triggering conflict processing mechanism;
In the embodiment of the invention, based on system requirements, safety standards and conflict risk levels, corresponding trigger conflict response time targets are set, different response times are considered to be required by different conflict risk levels, trigger conflict weighting factor data are combined with the set response time targets, the response time data of each trigger conflict are obtained through calculation, a time window for taking action when the conflict occurs is determined, and corresponding conflict processing mechanisms are formulated according to the trigger conflict weighting factor data and system design, wherein the conflict processing mechanisms can comprise specific actions such as automatic system adjustment, warning signal emission, emergency braking and the like, so that potential conflicts are reduced or avoided, and the trigger conflict processing mechanism is obtained.
Step S315: dividing a processing module of the trigger conflict processing mechanism based on the trigger conflict response time data to obtain a time response conflict processing module;
In the embodiment of the invention, the response time data of the trigger conflict is analyzed in detail, the response time requirement of each trigger conflict is known, whether the response time requirement of the stage exists or not and the response time variation under different conditions are determined, the time response conflict processing modules are divided according to the analysis result, each module is responsible for processing the conflict response of a specific type or stage, the module division can be based on the urgency, the conflict property or other related factors of the response time, the functions and the interfaces are definitely defined for each time response conflict processing module, the effective cooperative work of the functions and the interfaces is ensured, the responsible range of each module is ensured to be definite, the functional cross and the unnecessary complexity are avoided, specific logic is designed inside each module so as to ensure that the necessary conflict processing task can be completed within the specified response time, and finally the time response conflict processing module is obtained.
Step S316: and designing a risk conflict management and control architecture based on the time response conflict processing module to obtain the risk conflict management and control architecture.
In the embodiment of the invention, main components of the risk conflict management and control architecture are determined, the main components comprise a monitoring module, a decision module and an execution module, the flexibility of the system is considered, the components can be ensured to independently operate and cooperate with each other, functions and responsibilities are definitely defined for each component, each module is ensured to have clear effect in the whole risk conflict management and control flow, the input and output of each module can be seamlessly integrated, the information flow is designed, the necessary information can be shared among the modules, the control flow is designed, the effective decision and execution can be carried out in different stages, the verification and test under the simulation or actual scene are carried out, the risk conflict management and control architecture can be effectively operated under various conditions, and finally the risk conflict management and control architecture is obtained.
According to the invention, the state of the motor car is identified by triggering the conflict identification data, so that the real-time monitoring and identification of the running state of the motor car can be realized. The method is beneficial to capturing various states of the motor car in time, such as speed, position and running mode, providing a data basis for subsequent conflict factor analysis, generating motor car state identification data can ensure the integrity and accuracy of the data, establishing a reliable data basis, providing reliable input for subsequent analysis, analyzing the trigger conflict identification data by utilizing the motor car state identification data, and identifying potential trigger conflict factors. This includes an analysis of the correlation between various motor vehicle conditions and operating parameters, such as speed, position, and impact of line condition factors on potential conflicts, by triggering a conflict factor analysis, factors that may cause a conflict can be identified, and a risk model or early warning system can be built based on these factors. The system is helpful for predicting the occurrence of potential conflict in advance and taking corresponding measures to prevent the occurrence of accidents, thereby improving the operation safety; and carrying out data weighting on the triggering conflict factor data by utilizing a preset conflict risk weight model, so that the risk of the potential conflict factor can be quantified. This helps to accurately evaluate the extent of contribution of different factors to the likelihood of a collision, provides more reliable data support for subsequent decisions, can more accurately identify potential collisions based on weighted factor data, and helps a decision maker to understand the relative importance of different factors to a collision. This provides important information for decisions such as optimizing resource allocation, improving system operating strategies, etc., and by setting the response time for the trigger conflict weighting factor data, a more timely response can be provided when an accident or potential conflict occurs. The method is beneficial to reducing the influence range of accidents, reducing the accident loss, generating a conflict processing mechanism according to the triggering conflict weighting factor data, and realizing an adaptive conflict processing strategy. This means that the system can take appropriate measures according to different situations and risk levels, so that the flexibility and adaptability of the system are improved; the trigger-conflict response time data is used to partition the processing modules, facilitating the conflict handling mechanism of the modular system. Such a modular partitioning may make the system easier to understand, maintain and upgrade, while improving the scalability of the system, and the modular partitioning based on time response data may make the system take refined processing strategies for conflicts at different stages. This helps to optimize the performance of the system, ensures that the most appropriate countermeasures are taken against conflicts at different points in time, and allows the system to more fully take into account risk factors when handling conflicts based on the consideration of the time response conflict handling module when designing the risk conflict management architecture. The method is favorable for comprehensively managing potential conflicts, reducing the possibility of missing important factors, and constructing a risk conflict management and control framework is favorable for integrating different processing modules, so that the system can work cooperatively at different time points and under different situations. This integration helps to improve the stability and usability of the system.
Preferably, the present invention provides a three-dimensional model designing method and system based on a motor car console, for executing the three-dimensional model designing method based on a motor car console as described above, the three-dimensional model designing system based on a motor car console comprising:
the motor car signal adapting module is used for acquiring motor car control console design demand data; performing signal control safety adaptation on the motor car control console based on the motor car control console design requirement data to obtain motor car safety signal control data;
The triggering conflict identification module is used for carrying out triggering conflict identification on the motor car control circuit data according to the motor car safety signal control data to obtain triggering conflict identification data;
the risk conflict management and control architecture design module is used for carrying out risk conflict management and control architecture design based on the triggering conflict identification data to obtain a conflict management and control cache architecture; integrating the conflict control cache architecture to a motor car console to obtain a motor car conflict control platform;
the conflict avoidance design module is used for acquiring conflict data through the motor car conflict management and control platform to obtain motor car conflict data; performing conflict avoidance design on a motor car control console based on motor car conflict data to obtain a conflict avoidance strategy; and constructing a conflict three-dimensional avoidance model of the motor car control console according to the conflict avoidance strategy to obtain the three-dimensional motor car conflict avoidance model.
According to the invention, by acquiring detailed motor car console design demand data, a design team can ensure accurate understanding of user demands. The method is beneficial to avoiding deviation in the design in the later period, improving the consistency of the system and the user expectation, and ensuring that the design of the control console meets corresponding safety requirements by considering safety standards and specifications by a design team when signal control safety adaptation is performed on the motor car control console based on design demand data. The method is favorable for preventing potential safety risks and reducing the occurrence probability of accidents, and the obtained motor car safety signal control data can effectively realize real-time signal control of the motor car through safety adaptation. This is critical to ensuring safety and controllability of the train during operation, and during the adaptation, the design team needs to ensure that the signal control data is consistent with the rest of the overall railcar system. This helps to prevent internal conflicts and ensure co-operation of the console with other vehicle components, as well as the design team considering future system expansibility during the process of demand data acquisition and security adaptation. This includes future demand changes that are considered so that the designed system can flexibly adapt to new demands in the future; by triggering conflict recognition on the motor car safety signal control data, a design team can find potential conflict problems before actual implementation. This helps to avoid accidents during actual operation, and to resolve factors that may lead to failure or unsafe behavior in advance, the resulting trigger conflict identification data provides specific information for the design team for potential conflicts in the system. By analyzing the data, a design team can perform optimization and debugging of the system, ensure normal operation of the motor car control circuit, and avoid the later change of the circuit structure or the increase of the cost of hardware resources by identifying and solving the trigger conflict in the control circuit in the design stage. The method is beneficial to improving the utilization efficiency of resources, reducing the maintenance and update cost of the system, and preventing and avoiding potential conflicts at the system level by designing a conflict management and control architecture. This helps to improve the stability and security of the system, reduce potential failures due to collisions, and the collision management and control platform integrates real-time collision monitoring and response mechanisms. Thanks to the conflict management and control buffer architecture, the system can more rapidly detect the conflict and take appropriate measures to ensure real-time safety in the running process of the train, the conflict management and control buffer architecture is integrated to the motor train console, and design teams and operators can intuitively know conflict data through interfaces. The system state recognition method is beneficial to improving the cognition of operators on the system state, so that the operators can better make decisions, and the integration of the whole system is ensured by integrating the conflict management and control platform with the motor car console. This helps to ensure co-operation between the various components, improving overall system performance, while reducing potential problems due to decentralized decisions; the system can collect and record conflict data among the motor cars in real time through the motor car conflict management and control platform, wherein the motor car conflict data comprise the conflict behavior of commands issued by a control console, based on the collected motor car conflict data, the system can conduct real-time conflict avoidance design analysis, the motor car control console can immediately make corresponding avoidance decisions, the response speed of the system to potential conflicts is improved, and the motor car control console can conduct intelligent three-dimensional model avoidance design by utilizing the conflict avoidance strategies. The system can simulate the motion track of the train in a three-dimensional space, identify potential conflict points, and propose an optimized avoidance scheme, and can gradually optimize the efficiency and safety of train operation by continuously analyzing conflict data and performing avoidance design. This helps to improve the performance level of the overall motor vehicle control system. Therefore, the invention is the optimization processing of the traditional three-dimensional model design method of the motor car control console, solves the problems that the traditional three-dimensional model design method of the motor car control console cannot effectively identify motor car control commands and cannot accurately trigger conflict avoidance of the motor car control commands, improves the effective identification of the motor car control commands and accurately triggers the conflict avoidance of the motor car control commands.
The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein.
The foregoing is only a specific embodiment of the invention to enable those skilled in the art to understand or practice the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (7)
1. A three-dimensional model design method based on a motor car console is characterized by comprising the following steps:
Step S1: acquiring design demand data of a motor car console; performing signal control safety adaptation on the motor car control console based on the motor car control console design requirement data to obtain motor car safety signal control data;
step S2: triggering conflict identification is carried out on the motor car control circuit data according to the motor car safety signal control data, and triggering conflict identification data are obtained; step S2 comprises the steps of:
step S21: designing a control circuit according to the control data of the motor car safety signal to obtain the control circuit data of the motor car;
step S22: performing trigger condition simulation on the motor car control circuit data to obtain motor car control trigger condition data;
step S23: according to the motor car control trigger condition data, triggering conflict identification is carried out on the motor car control circuit data, and triggering conflict identification data are obtained; step S23 includes the steps of:
Step S231: performing trigger execution logic analysis on the control trigger condition data of the motor car to obtain trigger execution logic data;
Step S232: performing priority calculation on the trigger execution logic data by using a trigger condition level algorithm to obtain trigger execution priority data; the trigger condition ranking algorithm in step S232 is as follows:
；
In the method, in the process of the invention, Representing trigger execution priority result value,/>Representing index,/>Representing the number of items,/>Represents the/>Logic complexity of the execution logic data of each trigger,/>Represents the/>Logic level value of each trigger execution logic data,/>Represents the/>Weight coefficient of each trigger execution logic data,/>Represents the/>Execution difficulty coefficient of each trigger execution logic data,/>The time value is represented by a value of time,An error adjustment value representing a trigger condition level algorithm;
step S233: performing equivalent trigger execution simulation according to the trigger execution priority level data to obtain equivalent execution simulation data;
Step S234: acquiring historical event risk data; performing influence risk assessment on the level execution simulation data according to the historical event risk data to obtain level execution risk degree data;
step S235: triggering conflict identification is carried out on the motor car control circuit data according to the level execution risk degree data, and triggering conflict identification data are obtained;
step S3: performing risk conflict management and control architecture design based on the triggering conflict identification data to obtain a conflict management and control cache architecture; integrating the conflict control cache architecture to a motor car console to obtain a motor car conflict control platform;
Step S4: the collision data acquisition is carried out through the motor car collision management and control platform, so that motor car collision data are obtained; performing conflict avoidance design on a motor car control console based on motor car conflict data to obtain a conflict avoidance strategy; and constructing a conflict three-dimensional avoidance model of the motor car control console according to the conflict avoidance strategy to obtain the three-dimensional motor car conflict avoidance model.
2. The three-dimensional model design method based on a motor car console according to claim 1, wherein the step S1 comprises the steps of:
Step S11: acquiring design demand data of a motor car console;
step S12: performing control function demand analysis on the design demand data of the motor car console to obtain control function demand data;
Step S13: performing electrical structure demand design according to the control function demand data to obtain electrical structure design demand data;
Step S14: and carrying out signal control safety adaptation on the motor car control console based on the electrical structural design requirement data to obtain motor car safety signal control data.
3. The three-dimensional model design method based on a motor car console according to claim 2, wherein the step S14 includes the steps of:
step S141: extracting signal characteristics of components from the electrical structure design requirement data to obtain signal characteristic data of the components;
step S142: performing signal difference analysis according to the signal characteristic data of the components to obtain signal difference data;
Step S143: carrying out signal time sequence fluctuation analysis based on the signal difference data to obtain signal time sequence fluctuation data;
Step S144: carrying out signal stable fluctuation range identification on the signal time sequence fluctuation data by using a preset signal fluctuation identification model to obtain signal stable fluctuation range data;
Step S145: setting signal frequency based on the signal stable fluctuation range data to obtain signal frequency setting data; carrying out communication protocol adaptation design according to the signal frequency setting data to obtain communication protocol adaptation data;
Step S146: and performing signal control safety adaptation on the motor car control console according to the communication protocol adaptation data and the signal frequency setting data to obtain motor car safety signal control data.
4. The three-dimensional model design method based on a motor car console according to claim 3, wherein the signal time sequence fluctuation analysis is performed based on the signal difference data, and the signal time sequence fluctuation analysis comprises the following steps:
Performing signal spectrum conversion on the signal spectrum difference data to obtain signal spectrum difference data;
Carrying out signal fluctuation amplitude analysis on the signal spectrum difference data to obtain signal fluctuation amplitude data; extracting a fluctuation boundary according to the signal fluctuation amplitude data to obtain a fluctuation boundary data set;
Carrying out fluctuation boundary time sequence interval calculation on the fluctuation boundary data set to obtain fluctuation boundary time sequence interval data; boundary fluctuation trend evaluation is carried out on the fluctuation boundary time sequence interval data, so that boundary fluctuation trend data are obtained;
carrying out boundary fluctuation difference calculation according to the fluctuation boundary time sequence interval data to obtain signal boundary fluctuation difference data;
performing boundary fluctuation trend radial basis function interpolation processing based on the boundary fluctuation trend data and the signal boundary fluctuation difference value data to obtain signal boundary fluctuation interpolation data;
And carrying out signal time sequence fluctuation analysis based on the signal boundary fluctuation interpolation data to obtain signal time sequence fluctuation data.
5. The three-dimensional model design method based on a motor car console according to claim 1, wherein the step S3 comprises the steps of:
Step S31: performing risk conflict management and control architecture design based on the triggering conflict identification data to obtain a risk conflict management and control architecture;
step S32: carrying out data caching processing on the risk conflict management and control framework by using a distributed cache component to obtain a conflict management and control cache framework;
step S33: and integrating the conflict control cache architecture into a motor car console to obtain a motor car conflict control platform.
6. The three-dimensional model design method based on a motor car console according to claim 5, wherein the step S31 comprises the steps of:
Step S311: carrying out state identification on the motor car according to the triggering conflict identification data to obtain motor car state identification data;
Step S312: according to the motor car state identification data, triggering conflict factor analysis is carried out on the triggering conflict identification data, and triggering conflict factor data are obtained;
Step S313: carrying out data weighting on the triggering conflict factor data by using a preset conflict risk weight model to obtain triggering conflict weighting factor data;
Step S314: setting response time of the triggering conflict weighting factor data to obtain triggering conflict response time data; generating a conflict processing mechanism according to the triggering conflict weighting factor data to obtain a triggering conflict processing mechanism;
Step S315: dividing a processing module of the trigger conflict processing mechanism based on the trigger conflict response time data to obtain a time response conflict processing module;
Step S316: and designing a risk conflict management and control architecture based on the time response conflict processing module to obtain the risk conflict management and control architecture.
7. A three-dimensional model design system based on a motor vehicle console for executing the three-dimensional model design method based on a motor vehicle console according to claim 1, the three-dimensional model design system based on a motor vehicle console comprising:
the motor car signal adapting module is used for acquiring motor car control console design demand data; performing signal control safety adaptation on the motor car control console based on the motor car control console design requirement data to obtain motor car safety signal control data;
The triggering conflict identification module is used for carrying out triggering conflict identification on the motor car control circuit data according to the motor car safety signal control data to obtain triggering conflict identification data;
the risk conflict management and control architecture design module is used for carrying out risk conflict management and control architecture design based on the triggering conflict identification data to obtain a conflict management and control cache architecture; integrating the conflict control cache architecture to a motor car console to obtain a motor car conflict control platform;
the conflict avoidance design module is used for acquiring conflict data through the motor car conflict management and control platform to obtain motor car conflict data; performing conflict avoidance design on a motor car control console based on motor car conflict data to obtain a conflict avoidance strategy; and constructing a conflict three-dimensional avoidance model of the motor car control console according to the conflict avoidance strategy to obtain the three-dimensional motor car conflict avoidance model.
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