CN118174292A - Intelligent logistic information management method - Google Patents
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Abstract
The invention discloses an intelligent logistics information management method, and relates to the technical field of two-room information management. The intelligent logistics information management method comprises the steps of obtaining requirements of a visual two-room information management system, and obtaining related information of power equipment, related information of power transmission and related information of power load according to the requirements of the visual two-room information management system; respectively analyzing the related information of the power equipment and the related information of the power transmission to obtain a power equipment state evaluation value and a power transmission quality evaluation value which are respectively used for evaluating the current power equipment running state and the power transmission quality; acquiring a power failure detection index through the power equipment state evaluation value and the power transmission quality evaluation value, and judging whether the current power system needs to be optimized or not; constructing a two-room information integration platform, and visually displaying the judging result of the power failure detection index; and acquiring a power load prediction compliance index through the two-room information integration platform, and predicting a future power system load state.
Description
Technical Field
The invention relates to the technical field of two-room information management, in particular to an intelligent logistic information management method.
Background
Power systems are typically composed of a large number of devices, sensors and networks, the operating state of which is affected by a variety of factors, and in order to better monitor and manage these systems, efficient information management methods are needed so that engineers and operation maintenance personnel can quickly understand the operating conditions of the systems, while as the number of sensors and monitoring devices in the power system increases, and smart grids and renewable energy sources are introduced, the amount of data generated increases dramatically, and efficient information management methods can help to process this massive data, extract useful information, and thus better guide decisions and operations.
The fault risk in the power system is effectively identified, the power failure, equipment damage and the like can be caused by the fault of the power system, potential fault signs can be identified more easily through visual information management, so that measures are taken in advance, the occurrence and influence of faults are reduced, meanwhile, the capacity of the power system for coping with future load changes can be effectively improved by accurately predicting the future load condition of the power system, and stable transmission of the future power is ensured.
In order to ensure real-time monitoring, real-time fault detection and load prediction of the power system, the construction of a visual two-room information system is urgent, and the visual two-room information management can present the whole operation information of the power system for real-time monitoring and control of the power system and the operation and maintenance management center information of the power system through a visual means, so that operators can more intuitively and effectively know the operation condition of the power system, realize real-time data display update and load prediction, and improve the working efficiency of operation and maintenance personnel and the whole reliability of the power system.
Therefore, in view of the above problems, there is a need for an intelligent logistical information management method.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides an intelligent logistics information management method, which solves the problems of difficult real-time monitoring, real-time fault detection and load prediction of a power system.
In order to achieve the above purpose, the invention is realized by the following technical scheme: the intelligent logistics information management method comprises the following steps: acquiring an electric power equipment state evaluation value and an electric power transmission quality evaluation value which are respectively used for evaluating the current electric power equipment running state and the electric power transmission quality; acquiring a power failure detection index through the power equipment state evaluation value and the power transmission quality evaluation value, and judging whether the current power system needs to be optimized or not; constructing a two-room information integration platform, and visually displaying the judging result of the power failure detection index; and acquiring a power load prediction compliance index through the two-room information integration platform, and predicting a future power system load state.
Further, the acquiring the power equipment state evaluation value and the power transmission quality evaluation value specifically includes: the method comprises the steps of obtaining the requirements of a visual two-room information management system, wherein the requirements comprise a real-time monitoring function, a power equipment operation evaluation function, a power transmission quality evaluation function, a fault detection function and a load prediction function; acquiring two-room related information including power equipment related information, power transmission related information and power load related information according to the requirements of a visual two-room information management system; and respectively analyzing the power equipment related information and the power transmission related information to construct a power equipment state evaluation model and a power transmission quality evaluation model to obtain a power equipment state evaluation value and a power transmission quality evaluation value.
Further, the power equipment related information specifically includes: the number of power equipment failures, the power equipment failure time interval, and the power equipment available coincidence value; the power transmission related information specifically includes: line loss rate, frequency deviation, harmonic content; the power load related information specifically includes: the current load of the power system, the difference value between the historical load of the power system and the last historical load record and the load increase score.
Further, the specific calculation formula of the power equipment state evaluation value is as follows:
Where η 1 is represented as an electric power plant state evaluation value, ω i is represented as an electric power plant failure number, and i is represented as a failure number: i=1, 2, 3..n, ω j are denoted as the past power equipment failure time interval and j is denoted as the interval number: j=1, 2, 3..n-1, Δω i ' is denoted as a power equipment failure number allowed value, Δω j ' is denoted as a power equipment failure time interval allowed value, ω o、Δωo ' is denoted as a power equipment available compliance value and a preset power equipment available compliance value, q1, q2, q3 are denoted as a power equipment failure number, a power equipment failure time interval, a weight factor corresponding to the power equipment available compliance value, and e is denoted as a natural constant.
Further, the specific calculation formula of the power transmission quality evaluation value is as follows:
Where η 2 is represented as an electric power transmission quality evaluation value, g 1、g2、g3 is represented as a line loss rate, a frequency deviation, and a harmonic content, Δg 1′、Δg2′、Δg3' is represented as an allowable value corresponding to the line loss rate, the frequency deviation, and the harmonic content, f 1、f2、f3 is represented as a weight factor corresponding to the line loss rate, the frequency deviation, and the harmonic content, and e is represented as a natural constant.
Further, the step of obtaining the power failure detection index specifically includes: combining the power equipment state evaluation value with the power transmission quality evaluation value for analysis, constructing a power failure detection model to obtain a power failure detection index, wherein the power failure detection index has a calculation formula of:
Where τ is represented as a power failure detection index, η1 and η2 are represented as a power equipment state evaluation value and a power transmission quality evaluation value, respectively, r1 and r2 are represented as weight factors corresponding to the power equipment state evaluation value and the power transmission quality evaluation value, respectively, and e is represented as a natural constant.
Further, the determining whether the current power system needs to be optimized specifically includes: the method comprises the steps of comparing and analyzing the power failure detection index with a power failure detection threshold, judging that the current power system has failure risk when the power failure detection index exceeds the power failure detection threshold, and optimizing the power system, sending an alarm short message by using an alarm mechanism to prompt visual two-room information system management personnel to perform optimizing treatment, wherein the method comprises the steps of implementing a multi-source power supply strategy, providing an energy storage facility, introducing an intelligent power distribution system, installing an overvoltage protection device and a short-circuit protection device and implementing lightning protection measures.
Further, the construction of the two-room information integration platform specifically comprises the following steps: acquiring related information of power equipment, related information of power transmission and related information of power load to construct a two-room information integration platform, and storing historical two-room related information through the two-room information integration platform to provide data backup and recovery functions; providing a visual interface, and displaying the operation state of the power equipment, the power transmission quality and the power failure detection index judgment result by using a chart; acquiring two-room related information in real time, and ensuring real-time data update; and the data security and the privacy security of the visual two-room information system are ensured by a data encryption technology and a multiple identity verification access authorization mechanism.
Further, the obtaining the power load prediction compliance index specifically includes: combining the current load of the power system, the historical load of the power system and the load increase score analysis, constructing a power load prediction model to obtain a power load prediction compliance index, wherein the power load prediction compliance index is calculated according to the following formula:
Where ζ is represented as a power load prediction compliance index, iota 0 is represented as a current load of the power system, Δiota t is represented as a difference between a historical load of the power system and a last historical load record, and t is represented as a historical load difference number: t=1, 2,3,..m, σ is expressed as a load increase score, e is expressed as a natural constant.
Further, the method further comprises the following steps: setting real-time power failure detection and periodic power load prediction, simultaneously periodically acquiring user feedback suggestions, performing real-time optimization on the power system according to the power failure detection result, correspondingly prompting to increase power equipment and optimize power transmission quality through the power load prediction result, and combining the user feedback suggestions to periodically optimize the visual two-room information system.
The invention has the following beneficial effects:
(1) According to the intelligent logistics information management method, the states of various devices and transmission lines in the power system can be monitored in real time through the visual two-room information management system, so that operation and maintenance personnel can know the operation condition of the whole system more easily, and potential problems can be found in time; by constructing the power equipment state evaluation model, the system can quantitatively evaluate the running state of the power equipment, is beneficial to identifying potential faults of the equipment in advance, and adopts preventive maintenance measures, so that the possibility of equipment faults and the maintenance cost are reduced; by constructing a power transmission quality evaluation model, the quality of a power transmission line is monitored, so that the problems in power transmission can be found timely, and the stability and reliability of the power transmission are ensured; the power equipment state evaluation model and the power transmission quality evaluation model are combined to construct a power failure detection model, so that the faults in the system can be identified, the problem of quick positioning can be solved, the reliability and the stability of the power system can be improved, whether the current power system needs to be optimized can be judged according to the result of the power failure detection model, the reasonable optimization scheme can be formulated, the system efficiency can be improved, and the energy waste can be reduced; by integrating various information into one platform, the overall management efficiency of the system can be improved, the information island is reduced, and a decision maker can know the system condition more comprehensively; the two-room information integration platform is utilized to construct a power load prediction model, so that the system can predict the load state of a future power system, the reasonable planning of power supply is facilitated, the overload of the load or the waste of resources are avoided, the power failure detection index judgment result is visually displayed, the information is easier to understand and convey, the quick response of operation and maintenance personnel and decision makers is facilitated, and the problem solving efficiency is improved.
(2) The intelligent logistics information management method adopts a data processing technical means, comprehensive power equipment related information and power transmission related information are obtained, weight is respectively given to each parameter for weighting and summing, comprehensive power equipment state evaluation value and power transmission quality evaluation value are obtained, the current power equipment operation state and power transmission quality evaluation is comprehensive and reliable, subjectivity of manual evaluation is avoided, the power failure detection index obtained by combining the two weighted and summed methods can effectively help judge potential safety risks of a power system, maintenance efficiency of the power system is further ensured, error risk and time consumption of manual identification are reduced, the power load prediction compliance index is further calculated by obtaining power load related information, effective prediction is realized on loads of the power system, and capability of the power system for coping with future load changes is improved.
Of course, it is not necessary for any one product to practice the invention to achieve all of the advantages set forth above at the same time.
Drawings
FIG. 1 is a flow chart of a method for intelligent logistics information management in accordance with the present invention.
Detailed Description
The embodiment of the application realizes real-time monitoring, real-time fault detection and load prediction of the power system through the intelligent logistics information management method.
The problems in the embodiment of the application have the following general ideas: acquiring the requirements of a visual two-room information management system, acquiring two-room related information according to the requirements of the visual two-room information management system, and further respectively constructing a power equipment state evaluation model and a power transmission quality evaluation model which are respectively used for evaluating the current power equipment running state and the power transmission quality; and constructing a power failure detection model by combining the power equipment state evaluation model and the power transmission quality evaluation model, judging whether the current power system needs to be optimized, and combining the two-room information integration platform to visually display the power failure detection index judgment result, so as to construct a power load prediction model through the two-room information integration platform and predict the load state of the future power system.
Referring to fig. 1, the embodiment of the invention provides a technical scheme: the intelligent logistics information management method comprises the following steps: acquiring an electric power equipment state evaluation value and an electric power transmission quality evaluation value which are respectively used for evaluating the current electric power equipment running state and the electric power transmission quality; acquiring a power failure detection index through the power equipment state evaluation value and the power transmission quality evaluation value, and judging whether the current power system needs to be optimized or not; constructing a two-room information integration platform, and visually displaying the judging result of the power failure detection index; and acquiring a power load prediction compliance index through the two-room information integration platform, and predicting a future power system load state.
Specifically, the power equipment state evaluation value and the power transmission quality evaluation value are obtained, specifically including: the method comprises the steps of obtaining the requirements of a visual two-room information management system, wherein the requirements comprise a real-time monitoring function, a power equipment operation evaluation function, a power transmission quality evaluation function, a fault detection function and a load prediction function; acquiring two-room related information including power equipment related information, power transmission related information and power load related information according to the requirements of a visual two-room information management system; and respectively analyzing the power equipment related information and the power transmission related information to construct a power equipment state evaluation model and a power transmission quality evaluation model to obtain a power equipment state evaluation value and a power transmission quality evaluation value.
In the embodiment, the real-time monitoring function can provide monitoring on the real-time running state of the power system, so that potential problems can be found out rapidly, measures can be taken timely, and the stability and reliability of the system are improved; the power equipment operation evaluation function can provide evaluation of the operation state of the power equipment, including the health condition and performance index of the equipment, so as to find out the fault sign of the equipment, perform preventive maintenance, reduce the maintenance cost and prolong the service life of the equipment; the power transmission quality evaluation function can provide the evaluation of the power transmission quality, including information on voltage, frequency, harmonic wave and the like, ensure the stability and reliability of power transmission, improve the quality of power supply and reduce energy waste; the fault detection function can construct a fault detection model through power equipment state evaluation and power transmission quality evaluation to judge whether a system has a fault or not, so that the problem can be rapidly and accurately positioned, the influence of the fault on the system operation is reduced, and the robustness of the whole power system is improved; the load prediction function can be used for constructing a load prediction model by analyzing the related information of the power load, predicting the future power load condition, avoiding overload or resource waste and improving the operation efficiency of the power system.
Specifically, the power equipment related information specifically includes: the number of power equipment failures, the power equipment failure time interval, and the power equipment available coincidence value; the power transmission related information specifically includes: line loss rate, frequency deviation, harmonic content; the power load related information specifically includes: the current load of the power system, the difference value between the historical load of the power system and the last historical load record and the load increase score.
In the embodiment, the number of times and the time interval of the faults of the power equipment are used for identifying the fault mode and the frequency of the equipment, so that the equipment with possible faults is predicted, targeted preventive maintenance is performed, the risk of sudden faults is reduced, and the stability and the reliability of the system are improved; the available coincidence value of the power equipment can provide an evaluation index of the running state of the equipment, is beneficial to evaluating the reliability and the running efficiency of the equipment, helps a decision maker to make a more reasonable equipment updating and maintaining plan, and optimizes the resource utilization; the line loss rate, the frequency deviation and the harmonic content reflect the quality and the stability of power transmission, and monitoring the indexes is helpful for finding out transmission problems in time, optimizing a power transmission network, improving the power supply quality and reducing the energy waste; the current load and the historical load of the power system are beneficial to knowing the current load and the historical load, so that future load trend is predicted, reasonable load management and planning are performed, and overload of the load or resource waste is avoided; the load increase score provides an assessment of the load increase trend, facilitating future planning and expansion of the power system to meet the ever-increasing demand.
Specifically, the power equipment state evaluation value has a specific calculation formula:
Wherein eta 1 is expressed as a power equipment state evaluation value, the current power equipment operation state can be effectively evaluated, omega i is expressed as power equipment failure times, and i is expressed as failure times numbers: i=1, 2, 3..n, ω j are denoted as the past power equipment failure time interval and j is denoted as the interval number: j=1, 2, 3..n-1, Δω i ' represents a power equipment failure count allowed value, obtained by maintaining each maintenance count of the log and report record, represents a maintainable failure maximum value, Δω j ' represents a power equipment failure time interval allowed value, obtained by maintaining each maintenance time interval of the log and report record, the maximum value of the maintainable fault interval is represented, omega o、Δωo ' is respectively represented as a power equipment available coincidence value and a preset power equipment available coincidence value, q1, q2 and q3 are respectively represented as the number of power equipment faults, the power equipment fault time interval and weight factors corresponding to the power equipment available coincidence value, and e is represented as a natural constant.
In the embodiment, the number of faults and the fault time interval of the power equipment are monitored in real time by installing an equipment monitoring system, the running state of the power equipment is monitored in real time, the running parameters of the equipment including current, voltage and temperature are recorded in real time, a remote monitoring system is established at the same time, and the running state of the equipment is monitored in real time by a remote sensor, a communication equipment and a data acquisition system so as to detect and record the acquisition of fault events in time; the available coincidence value of the power equipment refers to the percentage of the equipment in an operable state in a certain time, and the percentage is calculated and obtained according to the operation time and the shutdown time of the equipment; the method comprises the steps of determining the number of faults of the power equipment, the fault time interval of the power equipment and the weight factors corresponding to the available coincidence values of the power equipment, evaluating the three indexes by experts in the related field, distributing weights to each index according to the expertise of the three indexes, or constructing a judgment matrix to compare the relative importance of different factors by using an AHP method, and comparing the indexes in pairs to obtain the relative weights.
Specifically, the power transmission quality evaluation value, the specific calculation formula is:
Wherein eta 2 is expressed as an electric power transmission quality evaluation value, the quality condition of the electric power transmitted by the current electric power system can be effectively evaluated, g1, g2 and g3 are respectively expressed as a line loss rate, a frequency deviation and a harmonic content, and refer to the percentage of electric energy loss caused by factors such as resistance, inductance, capacitance, line materials and the like in the electric power transmission process, the difference between the power grid frequency and the nominal frequency in the electric power system and the fundamental frequency in the electric power system
”'
The amplitude of the extra frequency component with the integral multiple of the rate is respectively expressed as a permissible value corresponding to the line loss rate, the frequency deviation and the harmonic content, the permissible value is obtained by analyzing the historical operation log record of the power system, the permissible maximum value is expressed as an acceptable maximum value for quality influence in the power transmission process, f1, f2 and f3 are respectively expressed as weight factors corresponding to the line loss rate, the frequency deviation and the harmonic content, and e is expressed as a natural constant.
In the embodiment, the line loss rate is deduced and estimated by installing proper measuring equipment and a monitoring system, monitoring input and output power acquisition in the power transmission process in real time, and analyzing factors such as input and output power difference, network topology, load characteristics and the like; the frequency deviation is obtained by measuring the frequency of the power grid by using an accurate clock of a GPS synchronization technology and then comparing the frequency deviation with a standard frequency; the harmonic content is obtained by measuring and analyzing the amplitudes and phases of different subharmonics by using a special harmonic analysis instrument and connecting the harmonic content to a measuring point of a power system; the line loss rate, the frequency deviation and the harmonic content are different performance indexes in the power system, the weight factors of the line loss rate, the frequency deviation and the harmonic content are distributed according to the system target and the priority, the past system operation data can be analyzed, the most obvious influence of the improvement of the past performance indexes on the system performance is known, and the setting is performed by considering the experience of the power system professional.
Specifically, the power failure detection index is obtained by the following specific steps: combining the power equipment state evaluation value with the power transmission quality evaluation value for analysis, constructing a power failure detection model to obtain a power failure detection index, wherein the power failure detection index has a calculation formula of:
Wherein τ is represented as a power failure detection index for judging whether the current power system needs to be optimized, η1 and η2 are respectively represented as a power equipment state evaluation value and a power transmission quality evaluation value, r1 and r2 are respectively represented as weight factors corresponding to the power equipment state evaluation value and the power transmission quality evaluation value, and e is represented as a natural constant.
In this embodiment, the setting of the weight factors corresponding to the power equipment status evaluation value and the power transmission quality evaluation value depends on specific power system characteristics, operation requirements and related technical standards, and is distributed according to the influence degree of various indexes on the system performance through the discussion and consensus of the expert group; by combining equipment state and transmission quality evaluation, the fault detection index is more comprehensive and comprehensive, the health condition of the power system can not be comprehensively reflected only by evaluating the equipment state or the transmission quality in a single angle, the running state of the system can be more comprehensively known by comprehensively considering the equipment state and the transmission quality, the grasp of the whole running state of the power system is improved, and the potential problems can be found, diagnosed and solved in time, so that the availability and reliability of the power system are improved.
Specifically, judging whether the current power system needs to be optimized or not specifically includes: the power failure detection index and the power failure detection threshold value are compared and analyzed, when the power failure detection index exceeds the power failure detection threshold value, the current power system is judged to have failure risk, optimization is needed, an alarm mechanism is used for sending an alarm short message to prompt visual two-room information system management personnel to perform optimization treatment, and the method comprises the steps of implementing a multi-source power supply strategy: renewable energy is introduced and energy reserves are provided using a plurality of power suppliers: standby battery or generator set, introduce intelligent power distribution system: the power load and fault conditions are monitored in real time, the power distribution is automatically adjusted, an overvoltage protection device and a short-circuit protection device are installed: preventing faults caused by overvoltage and short circuit, and implementing lightning protection measures: reducing the impact of lightning strikes on the system.
In this embodiment, through the comparison of the power failure detection index and the threshold value, the state of the power system is monitored in real time, and an alarm is sent out immediately when the failure risk appears, which is helpful for finding potential problems in advance, preventing the expansion and deterioration of the failure, reducing the degree to which the power system is affected by the failure, and being helpful for guaranteeing the reliability and stability of the power system, and reducing the adverse effects of the failure on users and devices.
Specifically, a two-room information integration platform is constructed, which specifically comprises: acquiring related information of power equipment, related information of power transmission and related information of power load to construct a two-room information integration platform, and storing historical two-room related information through the two-room information integration platform to provide data backup and recovery functions; providing a visual interface, and displaying the operation state of the power equipment, the power transmission quality and the power failure detection index judgment result by using a chart; acquiring two-room related information in real time, and ensuring real-time data update; and the data security and the privacy security of the visual two-room information system are ensured by a data encryption technology and a multiple identity verification access authorization mechanism.
In this embodiment, by integrating power equipment, power transmission and power load related information, the platform can provide a comprehensive power system state, store historical information to help analyze trends, identify patterns, and provide references for decisions; the data backup and recovery function is provided, so that the system can be quickly recovered to the previous state when unexpected faults or data loss occur, and the stability and reliability of the system are improved; the visual interface enables complex data to be visual and understandable, and is helpful for a user to quickly know the running condition of the system; the system can respond to changes in time by acquiring the related information of the two rooms in real time, the real-time performance of the data is maintained, accurate current state information is provided for users, the efficiency, the reliability and the safety of power system management are improved, management staff can monitor and control the power system better, the influence of potential faults on the system is reduced, and the overall operation level of the system is improved.
Specifically, the method for obtaining the power load prediction compliance index for predicting the future power system load state specifically includes: combining the current load of the power system, the historical load of the power system and the load increase score analysis, constructing a power load prediction model to obtain a power load prediction compliance index, wherein the power load prediction compliance index is calculated according to the following formula: Where ζ is represented as a power load prediction compliance index, iota 0 is represented as a current load of the power system, Δiota t is represented as a difference between a historical load of the power system and a last historical load record, and t is represented as a historical load difference number: t=1, 2,3,..m, σ is expressed as a load increase score, e is expressed as a natural constant.
In this embodiment, the current load of the power system is obtained by directly monitoring the current load of the power system by using a power sensor or a smart meter; the difference between the historical load of the power system and the last historical load record is obtained by recording the power system load data in a past period of time by using a database or a special historical data storage system; the load increase score is obtained by using a trend analysis tool to identify and evaluate the increase trend of the load through historical data and combining professional evaluation scoring; the method combines the current load of the power system, the historical load of the power system and the difference value of the last historical load record with the load increase score to predict the power load, can more accurately capture the change mode of the load of the power system, identify the seasonality, periodicity and other change modes of the load, is helpful for understanding the long-term load trend of the system, provides guidance for future planning and resource allocation, more accurately predicts the future load demand and improves the accuracy of prediction.
Specifically, the method further comprises the following steps: setting real-time power failure detection and periodic power load prediction, simultaneously periodically acquiring user feedback suggestions, performing real-time optimization on the power system according to the power failure detection result, correspondingly prompting to increase power equipment and optimize power transmission quality through the power load prediction result, and combining the user feedback suggestions to periodically optimize the visual two-room information system.
In the embodiment, the real-time fault detection can immediately identify faults or abnormal conditions in the power system, thereby being beneficial to improving the robustness and stability of the system, reducing the power failure risk and improving the reliability of the power system; the system is allowed to predict the power load in a period of time in the future, so that effective planning and resource allocation optimization are facilitated, the system is ensured to meet the future requirements, and unnecessary resource waste is reduced; the user feedback is obtained regularly, so that user experience and requirements can be better known, user satisfaction of the system can be improved, and precious information is provided for system improvement; by optimizing the power system according to the real-time fault detection result, the problems can be rapidly handled, potential influence is minimized, and the response speed and the overall efficiency of the power system are improved.
In summary, the present application has at least the following effects: the state of various devices and transmission lines in the power system can be monitored in real time through the visual two-room information management system, and potential problems can be found in time; by constructing the power equipment state evaluation model, potential faults of equipment can be recognized in advance, preventive maintenance measures can be taken, and the possibility of equipment faults and maintenance cost can be reduced; monitoring the quality of a power transmission line by constructing a power transmission quality evaluation model, and ensuring the stability and reliability of power transmission; the power failure detection model is constructed, so that the failure in the system can be identified, the problem can be quickly positioned, the reliability and the stability of the power system can be improved, whether the current power system needs to be optimized or not can be judged according to the result of the power failure detection model, a reasonable optimization scheme can be formulated, the system efficiency can be improved, and the energy waste can be reduced; by integrating various information into one platform, the overall management efficiency of the system can be improved, the information island is reduced, and a decision maker can know the system condition more comprehensively; the two-room information integration platform is utilized to construct a power load prediction model, so that the load state of a future power system can be predicted, the reasonable planning of power supply is facilitated, the overload of the load is avoided, the visual display of the judgment result of the power failure detection index is facilitated, the quick response of operation and maintenance personnel and decision makers is facilitated, the problem solving efficiency is improved, the stability, the reliability and the efficiency of the power system are improved, the probability of failure occurrence is reduced, the maintenance cost is reduced, and the coping capability to the future load change of the power system is improved.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The invention is described with reference to flow charts of methods according to embodiments of the invention. It will be understood that each of the flows in the flowchart may be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (10)
1. The intelligent logistics information management method is characterized by comprising the following steps of:
Acquiring an electric power equipment state evaluation value and an electric power transmission quality evaluation value which are respectively used for evaluating the current electric power equipment running state and the electric power transmission quality;
Acquiring a power failure detection index through the power equipment state evaluation value and the power transmission quality evaluation value, and judging whether the current power system needs to be optimized or not;
Constructing a two-room information integration platform, and visually displaying the judging result of the power failure detection index;
and acquiring a power load prediction compliance index through the two-room information integration platform, and predicting a future power system load state.
2. The intelligent logistics information management of claim 1, wherein the acquiring the power apparatus status evaluation value and the power transmission quality evaluation value comprises:
The method comprises the steps of obtaining the requirements of a visual two-room information management system, wherein the requirements comprise a real-time monitoring function, a power equipment operation evaluation function, a power transmission quality evaluation function, a fault detection function and a load prediction function;
acquiring two-room related information including power equipment related information, power transmission related information and power load related information according to the requirements of a visual two-room information management system;
And respectively analyzing the power equipment related information and the power transmission related information to construct a power equipment state evaluation model and a power transmission quality evaluation model to obtain a power equipment state evaluation value and a power transmission quality evaluation value.
3. The intelligent logistics information management method of claim 2, wherein the power apparatus related information comprises: the number of power equipment failures, the power equipment failure time interval, and the power equipment available coincidence value;
the power transmission related information specifically includes: line loss rate, frequency deviation, harmonic content;
The power load related information specifically includes: the current load of the power system, the difference value between the historical load of the power system and the last historical load record and the load increase score.
4. The intelligent logistics information management of claim 3, wherein the power apparatus state evaluation value comprises the following specific calculation formula:
Where η 1 is represented as an electric power plant state evaluation value, ω i is represented as an electric power plant failure number, and i is represented as a failure number: i=1, 2, 3..n, ω j are denoted as the past power equipment failure time interval and j is denoted as the interval number: j=1, 2, 3..n-1, Δω i ' is denoted as a power equipment failure number allowed value, Δω j ' is denoted as a power equipment failure time interval allowed value, ω o、Δωo ' is denoted as a power equipment available compliance value and a preset power equipment available compliance value, q1, q2, q3 are denoted as a power equipment failure number, a power equipment failure time interval, a weight factor corresponding to the power equipment available compliance value, and e is denoted as a natural constant.
5. The intelligent logistics information management of claim 3, wherein the power transmission quality assessment value is calculated by the following specific calculation formula:
where η 2 is represented as an electric power transmission quality evaluation value, and g 1、g2、g3 is represented as line loss 'respectively'
The rate, the frequency deviation and the harmonic content, Δg1, Δg2 and Δg3 are respectively indicated as permissible values corresponding to the line loss rate, the frequency deviation and the harmonic content, f1, f2 and f3 are respectively indicated as weight factors corresponding to the line loss rate, the frequency deviation and the harmonic content, and e is indicated as a natural constant.
6. The intelligent logistics information management of claim 5, wherein the acquiring the power failure detection index comprises the steps of:
Combining the power equipment state evaluation value with the power transmission quality evaluation value for analysis, constructing a power failure detection model to obtain a power failure detection index, wherein the power failure detection index has a calculation formula of:
Where τ is represented as a power failure detection index, η1 and η2 are represented as a power equipment state evaluation value and a power transmission quality evaluation value, respectively, r1 and r2 are represented as weight factors corresponding to the power equipment state evaluation value and the power transmission quality evaluation value, respectively, and e is represented as a natural constant.
7. The intelligent logistics information management of claim 6, wherein said determining whether the current power system requires optimization comprises: the method comprises the steps of comparing and analyzing the power failure detection index with a power failure detection threshold, judging that the current power system has failure risk when the power failure detection index exceeds the power failure detection threshold, and optimizing the power system, sending an alarm short message by using an alarm mechanism to prompt visual two-room information system management personnel to perform optimizing treatment, wherein the method comprises the steps of implementing a multi-source power supply strategy, providing an energy storage facility, introducing an intelligent power distribution system, installing an overvoltage protection device and a short-circuit protection device and implementing lightning protection measures.
8. The intelligent logistics information management of claim 7, wherein said constructing a two-room information integration platform comprises:
acquiring related information of power equipment, related information of power transmission and related information of power load to construct a two-room information integration platform, and storing historical two-room related information through the two-room information integration platform to provide data backup and recovery functions;
providing a visual interface, and displaying the operation state of the power equipment, the power transmission quality and the power failure detection index judgment result by using a chart;
Acquiring two-room related information in real time, and ensuring real-time data update;
And the data security and the privacy security of the visual two-room information system are ensured by a data encryption technology and a multiple identity verification access authorization mechanism.
9. The intelligent logistics information management of claim 8, wherein said obtaining a power load prediction compliance index comprises:
Combining the current load of the power system, the historical load of the power system and the load increase score analysis, constructing a power load prediction model to obtain a power load prediction compliance index, wherein the power load prediction compliance index is calculated according to the following formula:
Where ζ is represented as a power load prediction compliance index, iota 0 is represented as a current load of the power system, Δiota t is represented as a difference between a historical load of the power system and a last historical load record, and t is represented as a historical load difference number: t=1, 2,3,..m, σ is expressed as a load increase score, e is expressed as a natural constant.
10. The intelligent logistics information management method of claim 9, further comprising: setting real-time power failure detection and periodic power load prediction, simultaneously periodically acquiring user feedback suggestions, performing real-time optimization on the power system according to the power failure detection result, correspondingly prompting to increase power equipment and optimize power transmission quality through the power load prediction result, and combining the user feedback suggestions to periodically optimize the visual two-room information system.
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| Publication Number | Publication Date |
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| CN118174292A true CN118174292A (en) | 2024-06-11 |
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