CN117744919A - Monitoring and controlling method, system and medium for ultra-high voltage equipment monitoring and manufacturing process - Google Patents
Monitoring and controlling method, system and medium for ultra-high voltage equipment monitoring and manufacturing process Download PDFInfo
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Abstract
The invention relates to the technical field of engineering supervision, in particular to a supervision method, a supervision system and a supervision medium for an ultra-high voltage equipment supervision process. According to the ultra-high voltage equipment engineering progress prediction method, real-time progress data are input into the progress prediction model, and a plurality of predicted progress data which are obtained through prediction and are associated with the equipment model block are output after the progress prediction model is processed, so that the ultra-high voltage equipment engineering progress can be predicted; according to the method, the progress checking time shaft of the extra-high voltage equipment is constructed based on the visual platform, a plurality of progress checking nodes are arranged in the progress checking time shaft, the progress checking nodes are in one-to-one correspondence with a plurality of predicted progress data, progress checking labels are arranged in the visual platform, the progress checking time shaft is displayed in the visual platform in response to the operation of a user on the progress checking labels, and meanwhile predicted progress data corresponding to the progress checking nodes are displayed, so that a supervisor can intuitively see the predicted engineering progress.
Description
Technical Field
The invention relates to the technical field of engineering supervision, in particular to a supervision method, a supervision system and a supervision medium for an ultra-high voltage equipment supervision process.
Background
The ultra-high voltage engineering main equipment has long monitoring working period, remote monitoring places and more staff, so that the monitoring site working condition collection period is long, the equipment monitoring management is complex, for example, the conditions of monitoring working data, equipment quality problem management project progress and the like are difficult to collect, and the site management and control equipment is difficult to manufacture and has low efficiency. With the development of technologies such as big data, cloud computing, internet of things and mobile internet, the equipment supervision and management work also applies digital management.
The existing processing mode for the extra-high voltage engineering progress data mainly comprises the following steps: project manager inputs current engineering progress etc. data to processing system, supervisor judges extra-high voltage engineering progress according to the engineering progress data of logging, this kind of mode with data evaluation engineering progress is not directly perceived, and can't predict the engineering progress, is inconvenient for supervisor to effectively supervise the engineering.
Disclosure of Invention
The embodiment of the invention aims to provide a monitoring and controlling method, a monitoring and controlling system and a medium for an ultra-high voltage equipment monitoring and controlling process, and aims to solve the technical problems in the background technology.
In order to achieve the above problems, the present invention provides the following technical solutions.
In a first aspect, in one embodiment of the present invention, there is provided a supervision method for a supervision process of an extra-high voltage device, the supervision method including:
performing model segmentation on an equipment model of the extra-high voltage engineering in an engineering database to obtain a plurality of equipment model blocks, and acquiring real-time progress data of each equipment model block recorded in an engineering department management terminal;
inputting the real-time progress data into a progress prediction model, outputting a plurality of predicted progress data which are obtained by prediction and are associated with the equipment model block after the progress prediction model is processed, and importing the plurality of predicted progress data into an engineering database;
the method comprises the steps that an extra-high voltage equipment progress checking time shaft is built based on a visual platform, a plurality of progress checking nodes are arranged in the progress checking time shaft, the progress checking nodes are linked with a plurality of predicted progress data in a one-to-one correspondence mode, progress checking labels are arranged in the visual platform, the progress checking time shaft is displayed in the visual platform in response to operation of a user on the progress checking labels, and meanwhile predicted progress data corresponding to the progress checking nodes are displayed.
As a further limitation of the solution of the present invention, the step of displaying the progress viewing time axis in the visualization platform, and displaying the predicted progress data corresponding to the progress viewing node at the same time includes:
calling three-dimensional model entities corresponding to the equipment model blocks in the engineering database, and performing marker rendering associated with the prediction progress data on the three-dimensional model entities;
and displaying the entity-assembled ultrahigh voltage equipment model based on the three-dimensional model in a visual platform according to the entity assembly relation of the pre-established ultrahigh voltage equipment model, and obtaining an augmented reality picture of the production progress of the ultrahigh voltage equipment.
As a further limitation of the solution of the present invention, it further comprises:
acquiring a modification operation executed by a user on any equipment model block entity in an augmented reality picture, and determining modification parameters for corresponding equipment model blocks according to a submitting result after the modification operation is completed, wherein the modification operation at least comprises dragging and data input;
the modification parameters are matched with the corresponding equipment model blocks to form modification requests, and the modification requests are sent to the management terminal equipment of the corresponding engineering departments.
As a further limitation of the solution of the present invention, the process of constructing the progress prediction model includes:
acquiring a plurality of production data of the ultra-high voltage engineering according to time sequence from an engineering database, and dividing the production data into a training data set and a verification data set according to the proportion of 75% and 25%;
an initial prediction model is constructed, the initial prediction model is trained according to the training data set, the initial prediction model is verified according to the verification data set, and the verified initial prediction model is used as a progress prediction model and is output.
As a further limitation of the present invention, the step of training the initial predictive model based on the training data set includes:
model training was performed using a cross entropy loss function, which was calculated as follows:
wherein y is i The true value is represented by a value that is true,representing a predicted value, n representing a sample size; i represents the ith sample, and according to a random gradient descent algorithm, finding the model parameter which minimizes the loss in the loss function, and obtaining a trained progress prediction model.
As a further limitation of the inventive solution, finding model parameters that minimize the loss in the loss function according to a random gradient descent algorithm includes:
calculating the current Loss function Loss with respect to the model parameter W t Gradient G of (2) t ：
Wherein t represents the current t iterations, W t Model parameters representing the t-th time;
according to gradient G t Will parameter W t Updated to G t+1 ：
Where η represents the learning rate and n represents a total of n data for this training; repeating the steps until the Loss function Loss converges, and obtaining a trained progress prediction model.
As a further limitation of the solution of the present invention, the supervision method further comprises a step of preprocessing the real-time progress data before inputting the real-time progress data into the progress prediction model, the preprocessing step comprising:
cleaning and normalizing the real-time progress data;
and taking the processed real-time progress data as an input variable of a random forest regression model, carrying out importance evaluation on the progress influence factors of the ultra-high voltage equipment, carrying out feature selection on the progress influence factors of the ultra-high voltage equipment according to an evaluation result, selecting an influence factor set with the minimum error of the random forest regression model, and taking the influence factor set as the optimal real-time progress data.
As a further limitation of the solution of the present invention, the supervision method further comprises:
monitoring the duration time of each equipment model block construction node in real time;
generating an abnormal prompt of a corresponding warning level according to the difference value when the difference value between the duration time and the preset standard time is larger than a preset threshold value;
and/or determining the overtime times when the difference value between the duration time and the preset standard time is greater than a preset threshold value, and generating abnormal reminding of the corresponding warning level according to the times.
In a second aspect, in another embodiment of the present invention, there is provided an ultra-high voltage equipment manufacturing process supervision system, the system comprising:
the data acquisition module is used for carrying out model segmentation on the equipment model of the extra-high voltage engineering in the engineering database to obtain a plurality of equipment model blocks and acquiring real-time progress data of each equipment model block;
the progress prediction module is used for inputting the real-time progress data into a progress prediction model, outputting a plurality of predicted progress data which are obtained by prediction and are associated with the equipment model block after the progress prediction model is processed, and importing the plurality of predicted progress data into an engineering database;
the progress display module is used for constructing an extra-high voltage equipment progress checking time axis based on the visual platform, setting a plurality of progress checking nodes in the progress checking time axis, linking the progress checking nodes with a plurality of prediction progress data in a one-to-one correspondence manner, setting progress checking labels in the visual platform, responding to the operation of the progress checking labels, displaying the progress checking time axis in the visual platform, and simultaneously displaying the prediction progress data corresponding to the progress checking nodes.
In a third aspect, in a further embodiment of the present invention, a computer-readable storage medium is provided, which stores a computer program, which when executed by a processor, implements the steps of the method for monitoring a manufacturing process of an uhv device according to any one of the first aspects.
Compared with the prior art, the invention has the beneficial effects that:
firstly, the invention inputs real-time progress data into the progress prediction model, outputs a plurality of predicted progress data which are obtained by prediction and are related to the equipment model block after the progress prediction model is processed, and can predict the progress of the ultra-high voltage equipment engineering;
secondly, an extra-high voltage equipment progress checking time shaft is constructed based on the visual platform, a plurality of progress checking nodes are arranged in the progress checking time shaft, the progress checking nodes correspond to a plurality of predicted progress data one by one, progress checking labels are arranged in the visual platform, the progress checking time shaft is displayed in the visual platform in response to the operation of a user on the progress checking labels, and meanwhile predicted progress data corresponding to the progress checking nodes are displayed, so that a supervisor can conveniently and intuitively see the predicted engineering progress;
thirdly, when the predicted engineering progress is checked, the method can be directly displayed in a three-dimensional model, and the entity-assembled ultrahigh voltage equipment model based on the three-dimensional model is displayed in a visual platform according to the entity assembly relation of the pre-established ultrahigh voltage equipment model, so that an augmented reality picture of the ultrahigh voltage equipment production progress is obtained.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are necessary for the description of the embodiments or the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention and that other embodiments may be obtained according to these drawings without inventive effort for a person skilled in the art.
In the figure:
FIG. 1 is a flow chart showing an implementation of a method for monitoring an ultra-high voltage equipment manufacturing process according to the present invention;
FIG. 2 is a flow chart of a visual display in the monitoring method of the ultra-high voltage equipment monitoring process of the invention;
FIG. 3 is a flow chart of predictive model construction in the monitoring method of the ultra-high voltage equipment monitoring process of the invention;
FIG. 4 is a flow chart of preprocessing real-time progress data in the ultra-high voltage equipment monitoring process supervision method of the present invention;
FIG. 5 is a block diagram of a supervisory system for monitoring the manufacturing process of ultra-high voltage equipment according to the present invention;
fig. 6 is a block diagram of a computer device according to the present invention.
Detailed Description
The present application will be further described with reference to the drawings and detailed description, which should be understood that, on the premise of no conflict, the following embodiments or technical features may be arbitrarily combined to form new embodiments.
In order to make the objects, technical solutions and advantages of the present invention more apparent, the following embodiments of the present invention will be described in further detail with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
It should be noted that, in the embodiments of the present invention, all the expressions "first" and "second" are used to distinguish two non-identical entities with the same name or non-identical parameters, and it is noted that the "first" and "second" are only used for convenience of expression, and should not be construed as limiting the embodiments of the present invention.
Furthermore, the terms "comprise" and "have," and any variations thereof, are intended to cover a non-exclusive inclusion, such as a process, method, system, article, or other step or unit that comprises a list of steps or units.
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
The flow diagrams depicted in the figures are merely illustrative and not necessarily all of the elements and operations/steps are included or performed in the order described. For example, some operations/steps may be further divided, combined, or partially combined, so that the order of actual execution may be changed according to actual situations.
At present, the existing processing mode for the progress data of the extra-high voltage engineering mainly comprises the following steps: project manager inputs current engineering progress etc. data to processing system, supervisor judges extra-high voltage engineering progress according to the engineering progress data of logging, this kind of mode with data evaluation engineering progress is not directly perceived, and can't predict the engineering progress, is inconvenient for supervisor to effectively supervise the engineering.
In order to solve the problems, according to the ultra-high voltage equipment monitoring process supervision method provided by the invention, the real-time progress data are input into the progress prediction model, and a plurality of predicted progress data which are obtained by prediction and are associated with the equipment model block are output after the processing of the progress prediction model, so that the ultra-high voltage equipment engineering progress can be predicted; the progress checking time shaft of the extra-high voltage equipment is constructed based on the visual platform, the progress checking time shaft is displayed in the visual platform, and meanwhile, predicted progress data corresponding to progress checking nodes are displayed, so that a supervisor can conveniently and intuitively see the predicted engineering progress; furthermore, when the predicted engineering progress is checked, the method can be directly displayed in a three-dimensional model, and the entity-assembled ultrahigh voltage equipment model based on the three-dimensional model is displayed in a visual platform according to the entity assembly relation of the pre-established ultrahigh voltage equipment model, so that an augmented reality picture of the ultrahigh voltage equipment production progress is obtained.
Some embodiments of the present application are described in detail below with reference to the accompanying drawings. The following embodiments and features of the embodiments may be combined with each other without conflict.
In a first aspect, as shown in fig. 1, in one embodiment of the present invention, there is provided a supervision method for a supervision process of an extra-high voltage device, the supervision method including:
step S10: the method comprises the steps that model segmentation is carried out on equipment models of ultra-high voltage engineering in an engineering database to obtain a plurality of equipment model blocks, real-time progress data of each equipment model block recorded in an engineering department management terminal are obtained, in the specific implementation of the step, ultra-high voltage equipment is decomposed into a plurality of modules, in actual production, each module is provided with a corresponding engineering department for production and manufacture, and when the real-time progress data of a specified module are required to be obtained, each department only needs to record the real-time progress data in the corresponding management terminal;
step S20: inputting the real-time progress data into a progress prediction model, outputting a plurality of predicted progress data which are obtained by prediction and are related to the equipment model block after the progress prediction model is processed, and importing the plurality of predicted progress data into an engineering database, wherein in the step, the predicted progress data of each module of the extra-high voltage equipment can be obtained;
step S30: the method comprises the steps that an extra-high voltage equipment progress checking time shaft is built based on a visual platform, a plurality of progress checking nodes are arranged in the progress checking time shaft, the progress checking nodes are linked with a plurality of predicted progress data in a one-to-one correspondence mode, progress checking labels are arranged in the visual platform, the progress checking time shaft is displayed in the visual platform in response to operation of a user on the progress checking labels, and meanwhile predicted progress data corresponding to the progress checking nodes are displayed.
According to the embodiment of the invention, the progress of each module of the equipment is predicted, so that the progress of each module can be integrated into a unified visual platform, and a manager can know the production progress and the predicted progress of each module of the extra-high voltage equipment in time through the visual platform.
Further, as shown in fig. 2, in the step of displaying the progress checking time axis in the visualization platform and simultaneously displaying the predicted progress data corresponding to the progress checking node, the specific implementation manner is as follows:
step S301: invoking three-dimensional model entities corresponding to each equipment model block in the engineering database, and performing marker rendering associated with prediction progress data on the three-dimensional model entities, wherein in the step, the marker rendering of the prediction progress data can be rendering of colors on the three-dimensional model entities, for example, rendering the three-dimensional model entities corresponding to the equipment modules with the progress reaching the expectations green, rendering the three-dimensional model entities corresponding to the equipment modules with the progress not reaching the expectations red, rendering the three-dimensional model entities into colors only being exemplary, and performing marker rendering in other processing modes so that a manager can intuitively know whether the progress corresponding to the current equipment modules accords with the expectations;
step S302: according to the entity assembly relation of the pre-established extra-high voltage equipment model, displaying the extra-high voltage equipment model assembled based on the three-dimensional model entity in a visual platform to obtain an augmented reality picture of the production progress of the extra-high voltage equipment, in the step, the three-dimensional model entity subjected to marking rendering is subjected to a three-dimensional gold modeling state, and a manager can quickly distinguish which specific module of the extra-high voltage equipment does not finish production according to the expected progress by using the whole model of the extra-high voltage equipment;
step S303: acquiring a modification operation executed by a user on any equipment model block entity in an augmented reality picture, and determining modification parameters for the corresponding equipment model block according to a submitting result after the modification operation is completed, wherein the modification operation at least comprises dragging and data input;
step S304: the modification parameters are matched with the corresponding equipment model blocks to form modification requests, and the modification requests are sent to the management terminal equipment of the corresponding engineering departments.
Further, as shown in fig. 3, the process of constructing the progress prediction model includes:
step S201: acquiring a plurality of production data of the ultra-high voltage engineering according to time sequence from an engineering database, and dividing the production data into a training data set and a verification data set according to the proportion of 75% and 25%;
step S202: an initial prediction model is constructed, the initial prediction model is trained according to the training data set, the initial prediction model is verified according to the verification data set, and the verified initial prediction model is used as a progress prediction model and is output.
Further, the step of training the initial predictive model according to the training data set includes:
model training was performed using a cross entropy loss function, which was calculated as follows:
wherein y is i The true value is represented by a value that is true,representing a predicted value, n representing a sample size; i represents the ith sample, and according to a random gradient descent algorithm, finding the model parameter which minimizes the loss in the loss function, and obtaining a trained progress prediction model.
Wherein, according to the random gradient descent algorithm, finding the model parameters that minimize the loss in the loss function comprises: calculating the current Loss function Loss with respect to the model parameter W t Gradient G of (2) t ：
Wherein t represents the current t iterations, W t Model parameters representing the t-th time;
according to gradient G t Will parameter W t Updated to G t+1 ：
Where η represents the learning rate and n represents a total of n data for this training; repeating the steps until the Loss function Loss converges, and obtaining a trained progress prediction model.
As shown in fig. 4, before inputting the real-time progress data into the progress prediction model, the supervision method further includes a step of preprocessing the real-time progress data, the preprocessing step including:
step S101: cleaning and normalizing the real-time progress data;
step S102: and taking the processed real-time progress data as an input variable of a random forest regression model, carrying out importance evaluation on the progress influence factors of the ultra-high voltage equipment, carrying out feature selection on the progress influence factors of the ultra-high voltage equipment according to an evaluation result, selecting an influence factor set with the minimum error of the random forest regression model, and taking the influence factor set as the optimal real-time progress data.
Further, the supervision method further comprises:
monitoring the duration time of each equipment model block construction node in real time;
generating an abnormal prompt of a corresponding warning level according to the difference value when the difference value between the duration time and the preset standard time is larger than a preset threshold value;
and/or determining the overtime times when the difference value between the duration time and the preset standard time is greater than a preset threshold value, and generating abnormal reminding of the corresponding warning level according to the times.
In summary, the invention inputs the real-time progress data into the progress prediction model, outputs a plurality of predicted progress data associated with the equipment model block obtained by prediction after the processing of the progress prediction model, and can predict the progress of the ultra-high voltage equipment project;
secondly, an extra-high voltage equipment progress checking time shaft is built based on a visual platform, a plurality of progress checking nodes are arranged in the progress checking time shaft, the progress checking nodes correspond to a plurality of predicted progress data one by one, progress checking labels are arranged in the visual platform, the progress checking time shaft is displayed in the visual platform in response to the operation of a user on the progress checking labels, and meanwhile predicted progress data corresponding to the progress checking nodes are displayed, so that a supervisor can conveniently and intuitively see the predicted engineering progress;
in addition, when the predicted engineering progress is checked, the method can be directly displayed in a three-dimensional model, and the entity-assembled ultrahigh voltage equipment model based on the three-dimensional model is displayed in a visual platform according to the entity assembly relation of the pre-established ultrahigh voltage equipment model, so that an augmented reality picture of the ultrahigh voltage equipment production progress is obtained.
In a second aspect, as shown in fig. 5, in another embodiment of the present invention, there is provided an ultra-high voltage equipment monitoring process supervision system, the system comprising:
the data acquisition module 401 is configured to perform model segmentation on an equipment model of an extra-high voltage project in the project database to obtain a plurality of equipment model blocks, and acquire real-time progress data of each equipment model block;
the progress prediction module 402 is configured to input real-time progress data into a progress prediction model, output, after processing of the progress prediction model, a plurality of predicted progress data associated with the equipment model block obtained by prediction, and import the plurality of predicted progress data into an engineering database;
the progress display module 403 is configured to construct a progress viewing time axis of the extra-high voltage device based on the visual platform, set a plurality of progress viewing nodes in the progress viewing time axis, link the plurality of progress viewing nodes with a plurality of predicted progress data in a one-to-one correspondence manner, set a progress viewing label in the visual platform, and display the progress viewing time axis in the visual platform in response to an operation on the progress viewing label, and simultaneously display the predicted progress data corresponding to the progress viewing nodes.
In a third aspect, an embodiment of the present invention provides a computer device, which may be a computer, as shown in fig. 6, and is connected through a system bus 501, where the processor is configured to provide computing and control capabilities, a memory, an input system 503, a display 504, and a network interface 505, where the memory includes a nonvolatile storage medium 706 and an internal memory 507, where the nonvolatile storage medium 506 stores an operating system, a computer program, and a database, where the internal memory 507 provides an environment for the operation of the operating system and the computer program in the nonvolatile storage medium, and where the processor 502 implements the method for monitoring an ultra-high voltage device manufacturing process of the above embodiment when the processor 502 executes the computer program stored in the memory, where the method for monitoring is as follows:
performing model segmentation on an equipment model of the extra-high voltage engineering in an engineering database to obtain a plurality of equipment model blocks, and acquiring real-time progress data of each equipment model block recorded in an engineering department management terminal;
inputting the real-time progress data into a progress prediction model, outputting a plurality of predicted progress data which are obtained by prediction and are associated with the equipment model block after the progress prediction model is processed, and importing the plurality of predicted progress data into an engineering database;
the method comprises the steps that an extra-high voltage equipment progress checking time shaft is built based on a visual platform, a plurality of progress checking nodes are arranged in the progress checking time shaft, the progress checking nodes are linked with a plurality of predicted progress data in a one-to-one correspondence mode, progress checking labels are arranged in the visual platform, the progress checking time shaft is displayed in the visual platform in response to operation of a user on the progress checking labels, and meanwhile predicted progress data corresponding to the progress checking nodes are displayed.
In a fourth aspect, an embodiment of the present invention provides a storage medium, which is a computer readable storage medium storing a computer program, where the computer program when executed by a processor implements the method for monitoring a manufacturing process of an extra-high voltage device according to the above embodiment, where the method for monitoring is as follows:
performing model segmentation on an equipment model of the extra-high voltage engineering in an engineering database to obtain a plurality of equipment model blocks, and acquiring real-time progress data of each equipment model block recorded in an engineering department management terminal;
inputting the real-time progress data into a progress prediction model, outputting a plurality of predicted progress data which are obtained by prediction and are associated with the equipment model block after the progress prediction model is processed, and importing the plurality of predicted progress data into an engineering database;
the method comprises the steps that an extra-high voltage equipment progress checking time shaft is built based on a visual platform, a plurality of progress checking nodes are arranged in the progress checking time shaft, the progress checking nodes are linked with a plurality of predicted progress data in a one-to-one correspondence mode, progress checking labels are arranged in the visual platform, the progress checking time shaft is displayed in the visual platform in response to operation of a user on the progress checking labels, and meanwhile predicted progress data corresponding to the progress checking nodes are displayed.
The memory is used as a non-volatile computer readable storage medium and can be used for storing non-volatile software programs, non-volatile computer executable programs and modules, such as program instructions/modules corresponding to the monitoring method of the ultra-high voltage equipment manufacturing process in the embodiment of the application. The memory may include a memory program area and a memory data area, wherein the memory program area may store an operating system, at least one application program required for a function; the storage data area can store data created by using the monitoring method of the ultra-high voltage equipment monitoring process and the like. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid-state storage device. In some embodiments, the memory optionally includes memory remotely located relative to the processor, the remote memory being connectable to the local module through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The processor may be a central processing unit (Central Processing Unit, CPU), controller, microcontroller, microprocessor, or other data processing chip in some embodiments. The processor is typically used to control the overall operation of the computer device. In this embodiment, the processor is configured to execute the program code stored in the memory or process the data. The processors of the multiple computer devices of the computer device of the embodiment execute various functional applications and data processing of the server by running nonvolatile software programs, instructions and modules stored in the memory, namely, the steps of the ultra-high voltage device monitoring process supervision method of the method embodiment are realized.
Those of skill would further appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the disclosure herein may be implemented as electronic hardware, computer software, or combinations of both. To clearly illustrate this interchangeability of hardware and software, various illustrative components, blocks, modules, circuits, and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as software or hardware depends upon the particular application and design constraints imposed on the overall system. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present disclosure.
The various illustrative logical blocks, modules, and circuits described in connection with the disclosure herein may be implemented or performed with the following components designed to perform the functions herein: a general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof. A general purpose processor may be a microprocessor, but in the alternative, the processor may be any conventional processor, controller, microcontroller, or state machine. A processor may also be implemented as a combination of computing devices, e.g., a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a DSP and/or any other such configuration.
The foregoing is an exemplary embodiment of the present disclosure, but it should be noted that various changes and modifications could be made herein without departing from the scope of the disclosure as defined by the appended claims. The functions, steps and/or actions of the method claims in accordance with the disclosed embodiments described herein need not be performed in any particular order. Furthermore, although elements of the disclosed embodiments may be described or claimed in the singular, the plural is contemplated unless limitation to the singular is explicitly stated.
It should be understood that as used herein, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly supports the exception. It should also be understood that "and/or" as used herein is meant to include any and all possible combinations of one or more of the associated listed items. The foregoing embodiment of the present invention has been disclosed with reference to the number of embodiments for the purpose of description only, and does not represent the advantages or disadvantages of the embodiments.
Those skilled in the art will appreciate that: the above discussion of any embodiment is merely exemplary and is not intended to imply that the scope of the disclosure of embodiments of the invention, including the claims, is limited to such examples; combinations of features of the above embodiments or in different embodiments are also possible within the idea of an embodiment of the invention, and many other variations of the different aspects of the embodiments of the invention as described above exist, which are not provided in detail for the sake of brevity. Therefore, any omission, modification, equivalent replacement, improvement, etc. of the embodiments should be included in the protection scope of the embodiments of the present invention.
Claims (10)
1. The monitoring method for the manufacturing process of the extra-high voltage equipment is characterized by comprising the following steps of:
performing model segmentation on an equipment model of the extra-high voltage engineering in an engineering database to obtain a plurality of equipment model blocks, and acquiring real-time progress data of each equipment model block recorded in an engineering department management terminal;
inputting the real-time progress data into a progress prediction model, outputting a plurality of predicted progress data which are obtained by prediction and are associated with the equipment model block after the progress prediction model is processed, and importing the plurality of predicted progress data into an engineering database;
the method comprises the steps that an extra-high voltage equipment progress checking time shaft is built based on a visual platform, a plurality of progress checking nodes are arranged in the progress checking time shaft, the progress checking nodes are linked with a plurality of predicted progress data in a one-to-one correspondence mode, progress checking labels are arranged in the visual platform, the progress checking time shaft is displayed in the visual platform in response to operation of a user on the progress checking labels, and meanwhile predicted progress data corresponding to the progress checking nodes are displayed.
2. The method for monitoring and managing the manufacturing process of the extra-high voltage equipment according to claim 1, wherein the step of displaying the progress checking time axis in the visualization platform and simultaneously displaying the predicted progress data corresponding to the progress checking node comprises the steps of:
calling three-dimensional model entities corresponding to the equipment model blocks in the engineering database, and performing marker rendering associated with the prediction progress data on the three-dimensional model entities;
and displaying the entity-assembled ultrahigh voltage equipment model based on the three-dimensional model in a visual platform according to the entity assembly relation of the pre-established ultrahigh voltage equipment model, and obtaining an augmented reality picture of the production progress of the ultrahigh voltage equipment.
3. The ultra-high voltage equipment monitoring process supervision method according to claim 2, further comprising:
acquiring a modification operation executed by a user on any equipment model block entity in an augmented reality picture, and determining modification parameters for corresponding equipment model blocks according to a submitting result after the modification operation is completed, wherein the modification operation at least comprises dragging and data input;
the modification parameters are matched with the corresponding equipment model blocks to form modification requests, and the modification requests are sent to the management terminal equipment of the corresponding engineering departments.
4. The method for monitoring and controlling the manufacturing process of the extra-high voltage equipment according to claim 3, wherein the process for constructing the progress prediction model comprises the following steps:
acquiring a plurality of production data of the ultra-high voltage engineering according to time sequence from an engineering database, and dividing the production data into a training data set and a verification data set according to the proportion of 75% and 25%;
an initial prediction model is constructed, the initial prediction model is trained according to the training data set, the initial prediction model is verified according to the verification data set, and the verified initial prediction model is used as a progress prediction model and is output.
5. The method of monitoring and controlling an ultra-high voltage equipment manufacturing process according to claim 4, wherein the step of training the initial predictive model based on the training data set comprises:
model training was performed using a cross entropy loss function, which was calculated as follows:
wherein y is i The true value is represented by a value that is true,representing a predicted value, n representing a sample size; i represents the ith sample, and according to a random gradient descent algorithm, finding the model parameter which minimizes the loss in the loss function, and obtaining a trained progress prediction model.
6. The method of claim 5, wherein finding model parameters that minimize losses in the loss function according to a random gradient descent algorithm comprises: calculating the current Loss function Loss with respect to the model parameter W t Gradient G of (2) t ：
Wherein t represents the current t iterations, W t Model parameters representing the t-th time;
according to gradient G t Will parameter W t Updated to G t+1 ：
Where η represents the learning rate and n represents a total of n data for this training; repeating the steps until the Loss function Loss converges, and obtaining a trained progress prediction model.
7. The method according to any one of claims 3 to 5, wherein the monitoring method further comprises a step of preprocessing the real-time progress data before inputting the real-time progress data into the progress prediction model, the preprocessing step comprising:
cleaning and normalizing the real-time progress data;
and taking the processed real-time progress data as an input variable of a random forest regression model, carrying out importance evaluation on the progress influence factors of the ultra-high voltage equipment, carrying out feature selection on the progress influence factors of the ultra-high voltage equipment according to an evaluation result, selecting an influence factor set with the minimum error of the random forest regression model, and taking the influence factor set as the optimal real-time progress data.
8. The uhv plant manufacturing process monitoring method of claim 7, further comprising:
monitoring the duration time of each equipment model block construction node in real time;
generating an abnormal prompt of a corresponding warning level according to the difference value when the difference value between the duration time and the preset standard time is larger than a preset threshold value;
and/or determining the overtime times when the difference value between the duration time and the preset standard time is greater than a preset threshold value, and generating abnormal reminding of the corresponding warning level according to the times.
9. A system for implementing the method for monitoring and controlling the manufacturing process of an extra-high voltage apparatus according to any one of claims 1 to 8, characterized in that it comprises:
the data acquisition module is used for carrying out model segmentation on the equipment model of the extra-high voltage engineering in the engineering database to obtain a plurality of equipment model blocks and acquiring real-time progress data of each equipment model block;
the progress prediction module is used for inputting the real-time progress data into a progress prediction model, outputting a plurality of predicted progress data which are obtained by prediction and are associated with the equipment model block after the progress prediction model is processed, and importing the plurality of predicted progress data into an engineering database;
the progress display module is used for constructing an extra-high voltage equipment progress checking time axis based on the visual platform, setting a plurality of progress checking nodes in the progress checking time axis, linking the progress checking nodes with a plurality of prediction progress data in a one-to-one correspondence manner, setting progress checking labels in the visual platform, responding to the operation of the progress checking labels, displaying the progress checking time axis in the visual platform, and simultaneously displaying the prediction progress data corresponding to the progress checking nodes.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program which, when executed by a processor, implements the steps of the method for supervising the manufacturing process of an extra-high voltage device according to any one of claims 1 to 8.
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| CN118015196B (en) * | 2024-04-08 | 2024-06-07 | 山东嘉友互联软件股份有限公司 | Maintenance fund use monitoring and predicting system based on big data |
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