Intelligent configuration method and device for auxiliary control equipment of transformer substation

By using three-dimensional models and prediction models in the auxiliary control equipment monitoring system of the substation auxiliary control equipment, the existing design has been solved, and a more efficient and accurate configuration process has been achieved.

CN119740472APending Publication Date: 2025-04-01STATE GRID ELECTRIC POWER ECONOMIC RES INST IN NORTHERN HEBEI TECH CO LTD +1
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Patent Information

Application Number
CN202411801305.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-09
Publication Date
2025-04-01

AI Technical Summary

Technical Problem

The design of the existing substation auxiliary control equipment monitoring system is a problem of waste of manpower, incomplete consideration, high risk of failure to meet construction conditions and poor rationality.

Method used

By adding a three-dimensional model of auxiliary control equipment in the configuration software and establishing a three-dimensional model of the substation, the description file of the three-dimensional model of the substation is obtained, and the prediction model is used to predict the control suggestions information of the auxiliary control equipment, matching the auxiliary control equipment from the model library and filling it into the three-dimensional model, to realize the automatic configuration of the auxiliary control equipment.

Benefits of technology

It realizes the comprehensiveness, rationality and accuracy of the configuration of auxiliary control equipment, saves manpower, improves configuration efficiency, and reduces construction risks.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention relates to the technical field of transformer substations, and provides a transformer substation auxiliary control equipment intelligent configuration method and device, and the method comprises the steps: adding a model library in configuration software, and loading a transformer substation three-dimensional model, the model library comprising an auxiliary control equipment three-dimensional model; acquiring a description file of the three-dimensional model of the transformer substation; according to the description file of the transformer substation three-dimensional model and a prediction model, auxiliary control equipment deployment and control suggestion information is obtained through prediction, the prediction model is obtained by training a large model through a historical design specification file of transformer substation auxiliary control equipment, and the description file of the transformer substation three-dimensional model at least comprises area information and attribute information of transformer substation equipment in all areas; and matching the auxiliary control equipment from the model library according to the auxiliary control equipment deployment and control suggestion information, and filling the matched auxiliary control equipment into the transformer substation three-dimensional model. According to the invention, the automatic configuration of the auxiliary control equipment can be realized, the comprehensiveness, rationality and accuracy of the configuration of the auxiliary control equipment are ensured, manpower can be saved, and the efficiency of the configuration of the auxiliary control equipment is improved.
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Description

Technical Field

[0001] The present invention relates to the technical field of substations, and in particular to an intelligent configuration method and device for auxiliary control equipment of a substation. Background Art

[0002] With the development of the power industry, the digital transformation of the power grid system has become an inevitable trend. As an important part of the power system, substations have many complex internal equipment, communication circuits, cable paths and other elements. Traditional paper manuals or two-dimensional drawings can no longer meet the needs of comprehensive display and management of these complex elements.

[0003] In the prior art, in the design phase of the monitoring system for auxiliary control equipment of a substation, the deployment of auxiliary control equipment is mostly designed by combining CAD with civil engineering electronic drawings. This design method has the following defects:

[0004] (1) CAD design cannot fully consider the mutual influence between the substation building structure and the location of inherent equipment and the auxiliary control equipment, which will lead to the lack of rationality in the layout of auxiliary control equipment, and the inability to deploy according to the plan in actual construction due to the limited construction environment, which ultimately leads to the actual deployment being inconsistent with the planned deployment.

[0005] (2) This design is affected by the professional level of the designers and there is a problem that the functional requirements of the substation for the auxiliary equipment monitoring system cannot be met due to insufficient consideration in the design stage.

[0006] (3) The actual direction of the power supply circuit and communication circuit between the auxiliary control equipment cannot be reflected in the CAI design process. And due to the defects of the plane design, it is impossible to accurately evaluate the equipment consumables and deployment cycle of the auxiliary control system. Summary of the invention

[0007] The present invention is used to solve the problems of waste of manpower, incomplete consideration, high risk of not meeting construction conditions and poor rationality in the design of the existing monitoring system for auxiliary control equipment of substations.

[0008] In order to solve the above technical problems, the first aspect of the present invention provides a method for intelligent configuration of auxiliary control equipment of a substation, comprising:

[0009] Add a model library in the configuration software and load the substation three-dimensional model, wherein the model library includes the three-dimensional model of the auxiliary control equipment;

[0010] Obtain the description file of the substation 3D model;

[0011] According to the description file and prediction model of the substation three-dimensional model, auxiliary control equipment deployment suggestion information is predicted, the prediction model is obtained by training a large model using the design specification file of the historical substation auxiliary control equipment, the description file of the substation three-dimensional model at least includes regional information and attribute information of the substation equipment in each region, and the auxiliary control equipment deployment suggestion information includes the number of auxiliary control equipment and reference positions;

[0012] According to the auxiliary control equipment deployment suggestion information, auxiliary control equipment is matched from the model library and the matched auxiliary control equipment is filled into the substation three-dimensional model.

[0013] As a further embodiment of the present invention, the prediction model training process includes:

[0014] Obtain design specification documents for historical substation auxiliary control equipment;

[0015] Extracting a specification question and answer data set from the design specification file, the specification question and answer data set comprising a plurality of specification question and answer samples, each specification question and answer sample comprising an auxiliary control equipment layout question and a layout answer, wherein the layout answer comprises the number of auxiliary control equipment and a layout position;

[0016] The large model is trained using the standard question-answer data set to obtain a prediction model for predicting the deployment information of auxiliary control equipment.

[0017] As a further embodiment of the present invention, the large model is trained using the standard question-answer data set to obtain a prediction model for predicting auxiliary control equipment deployment information, including:

[0018] Divide the standard question-answering dataset into a training set and multiple test sets;

[0019] Using the training set to train a large model;

[0020] Select one of the unused test sets, input the auxiliary control equipment deployment questions of the standardized question and answer samples in the test set into the large model, and obtain the predicted deployment answer;

[0021] Correct the predicted control answer to obtain a corrected control answer;

[0022] The corrected control answer and its corresponding auxiliary control equipment control question are added to the training set as a new standard question and answer sample;

[0023] The large model is repeatedly trained using the new training set, and subsequent steps are performed until the accuracy of the predicted control answer meets the predetermined requirements.

[0024] As a further embodiment of the present invention, the attribute information of the substation equipment includes equipment name, equipment type, parameter information and location information;

[0025] After obtaining the description file of the substation 3D model, it also includes:

[0026] Extracting equipment name information from a description file of the substation three-dimensional model;

[0027] If the device name information is not extracted, a reminder message is issued to remind the user to input the name information of each device in the substation three-dimensional model through the substation three-dimensional model display interface; the device name information input by the user is added to the description file of the substation three-dimensional model;

[0028] If the device name information is extracted, the device name information is normalized.

[0029] As a further embodiment of the present invention, according to the description file and prediction model of the substation three-dimensional model, the auxiliary control equipment deployment suggestion information is predicted, including:

[0030] Extracting regional information and attribute information of substation equipment in each region from a description file of the substation three-dimensional model;

[0031] Generate the control problem of the auxiliary control equipment of the current substation according to the regional information, the attribute information of the substation equipment in each area and the preset problem template;

[0032] The control deployment problem of the current substation auxiliary control equipment is input into the prediction model to obtain control deployment recommendation information.

[0033] As a further embodiment of the present invention, it also includes:

[0034] Determine the attribute information of the auxiliary control device according to the filling information of the auxiliary control device;

[0035] The attribute information of the auxiliary control equipment is updated into the description file of the substation three-dimensional model.

[0036] As a further embodiment of the present invention, it also includes:

[0037] Receiving monitoring requirement information configured by a user, wherein the monitoring requirement information includes a device to be monitored and a device to be monitored;

[0038] Finding the location information of the equipment around the equipment to be monitored from the description file of the three-dimensional model of the substation;

[0039] Determine the location information of the device to be monitored based on the location information of the devices around the device to be monitored;

[0040] Obtain the model of the device to be monitored from the model library;

[0041] According to the location information of the equipment to be monitored, the model of the equipment to be monitored is filled into the three-dimensional model of the substation.

[0042] As a further embodiment of the present invention, the area information includes the area name and building information in the area;

[0043] The method further comprises:

[0044] Extracting attribute information of power source, attribute information of communication equipment, attribute information of auxiliary control equipment and architectural information related to circuit design from the description file of the three-dimensional model of the substation;

[0045] Determine the type of the auxiliary control device according to the attribute information of the auxiliary control device;

[0046] According to the loop design principles of the auxiliary control equipment type, the path planning is carried out using the attribute information of the power supply, the attribute information of the communication equipment and the building information related to the loop design;

[0047] According to the path planning result, the circuit loop is filled in the three-dimensional model of the substation.

[0048] A second aspect of the present invention provides a substation auxiliary control equipment intelligent configuration device, comprising:

[0049] An information adding unit, used to add a model library and load a three-dimensional model of a substation in the configuration software, wherein the model library includes a three-dimensional model of auxiliary control equipment;

[0050] An acquisition unit, used for acquiring a description file of a three-dimensional model of a substation;

[0051] A prediction unit, configured to predict and obtain auxiliary control equipment deployment suggestion information according to the description file of the substation three-dimensional model and the prediction model, wherein the prediction model is obtained by training a large model using the design specification file of the historical substation auxiliary control equipment, the description file of the substation three-dimensional model at least includes regional information and attribute information of the substation equipment in each region, and the auxiliary control equipment deployment suggestion information includes the number of auxiliary control equipment and reference positions;

[0052] The automatic filling unit is used to match auxiliary control equipment from the model library according to the auxiliary control equipment deployment suggestion information and fill the matched auxiliary control equipment into the substation three-dimensional model.

[0053] A third aspect of the present invention provides a computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements any of the aforementioned methods when executing the computer program.

[0054] A third aspect of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor of a computer device, the method described in any of the above embodiments is implemented.

[0055] A fourth aspect of the present invention provides a computer program product, which includes a computer program. When the computer program is executed by a processor of a computer device, the method described in any of the above embodiments is implemented.

[0056] The intelligent configuration method and device of substation auxiliary control equipment provided by the present invention can perform fine modeling of various elements inside the substation by adding a three-dimensional model of the auxiliary control equipment in the configuration software and establishing a three-dimensional model of the substation, thereby realizing a comprehensive display of the internal structure of the substation. By obtaining the description file of the three-dimensional model of the substation; predicting and obtaining the auxiliary control equipment deployment suggestion information according to the description file and the prediction model of the three-dimensional model of the substation; matching the auxiliary control equipment from the model library according to the auxiliary control equipment deployment suggestion information and filling the matched auxiliary control equipment into the three-dimensional model of the substation, the automatic configuration of the auxiliary control equipment can be realized, and the comprehensiveness, rationality and accuracy of the auxiliary control equipment configuration can be ensured, while also saving manpower and improving the efficiency of the auxiliary control equipment configuration.

[0057] In order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are specifically cited below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0059] Figure 1 A first flow chart of a method for intelligent configuration of auxiliary control equipment of a substation according to an embodiment of the present invention is shown;

[0060] Figure 2 A first flow chart of a prediction model training process according to an embodiment of the present invention is shown;

[0061] Figure 3 A second flow chart of the prediction model training process according to an embodiment of the present invention is shown;

[0062] Figure 4 A second flow chart of the intelligent configuration method of substation auxiliary control equipment according to an embodiment of the present invention is shown;

[0063] Figure 5 A flowchart showing a process of determining auxiliary control device deployment suggestion information according to an embodiment of the present invention is shown;

[0064] Figure 6A third flow chart of the intelligent configuration method of substation auxiliary control equipment according to an embodiment of the present invention is shown;

[0065] Figure 7 A fourth flow chart of the intelligent configuration method of substation auxiliary control equipment according to an embodiment of the present invention is shown;

[0066] Figure 8 A fifth flow chart of the intelligent configuration method of the auxiliary control equipment of a substation according to an embodiment of the present invention is shown;

[0067] Fig. 9 The structure diagram of the intelligent configuration device of the auxiliary control equipment of the substation according to the embodiment of the present invention is shown;

[0068] Fig.10 A structural diagram of a computer device according to an embodiment of the present invention is shown.

[0069] Description of the accompanying symbols:

[0070] 901, information adding unit;

[0071] 902, acquisition unit;

[0072] 903, prediction unit;

[0073] 904, automatic filling unit;

[0074] 1002. Computer equipment;

[0075] 1004. Processor;

[0076] 1006. Memory;

[0077] 1008. Driving mechanism;

[0078] 1010, input / output module;

[0079] 1012. Input device;

[0080] 1014. Output device;

[0081] 1016. Presentation equipment;

[0082] 1018. Graphical user interface;

[0083] 1020. Network interface;

[0084] 1022. Communication link;

[0085] 1024. Communication bus. DETAILED DESCRIPTION

[0086] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0087] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, device, product or equipment that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or equipment.

[0088] This specification provides method operation steps as described in the embodiments or flow charts, but more or fewer operation steps may be included based on routine or non-creative work. The order of steps listed in the embodiments is only one way of executing the order of many steps and does not represent the only execution order. When the system or device product is executed in practice, it can be executed in the order of the method shown in the embodiments or the drawings or in parallel.

[0089] It should be noted that the data involved in this application (including but not limited to data used for analysis, stored data, displayed data, etc.) are all information and data authorized by the user or fully authorized by all parties, and the acquisition, transmission, storage, use and processing of relevant data must comply with relevant laws, regulations and standards of relevant countries and regions.

[0090] It should be noted that in the embodiments of the present application, certain software, components, models and other existing solutions in the industry may be mentioned, and they should be regarded as exemplary. Their purpose is only to illustrate the feasibility of implementing the technical solution of the present application, but it does not mean that the applicant has or will necessarily use the solution.

[0091] In one embodiment of the present invention, a method for intelligent configuration of auxiliary control equipment of a substation is provided to solve the problems of waste of manpower, incomplete consideration, high risk of not meeting construction conditions and poor rationality in the design of the monitoring system of auxiliary control equipment of existing substations. Figure 1 As shown, the intelligent configuration method of substation auxiliary control equipment includes:

[0092] Step 101, add a model library in the configuration software and load the substation three-dimensional model.

[0093] The model library includes three-dimensional models of auxiliary control equipment. Auxiliary control equipment includes video monitoring systems, dynamic environment monitoring systems, fire monitoring systems, robot inspection systems, access control systems, integrated monitoring platforms and other systems or platform equipment, such as temperature and humidity sensors, water detectors, fans, water leakage ropes, cameras, etc. The three-dimensional model of auxiliary control equipment is pre-designed by designers according to the requirements and specifications of substation auxiliary control equipment.

[0094] The 3D model of the substation includes the necessary equipment models and building models required for the substation. Similarly, it is also designed in advance by the designer and can be obtained through a third party during the specific implementation. The equipment model is designed according to the requirements and specifications of the substation equipment, and the building model includes models of areas (or rooms), walls, floors, shafts, cable trenches, water collection wells, and pre-buried pipelines.

[0095] The configuration software in this embodiment can be the configuration software developed for the technical solution of this application, for example, the configuration software is developed using AI large model technology and Unity3D technology, the container and editable window of the 3D model file are developed using Unity3D technology, and the three-dimensional model of the substation is imported into the window. It can also be a new function for implementing the method of the present invention on the basis of the existing configuration software. The present invention does not limit this.

[0096] The substation 3D model is loaded onto the display interface of the configuration software. The user can select the substation area, substation equipment model, etc. by operating the substation 3D model by single-clicking or double-clicking the mouse, and can also adjust parameters based on the selection.

[0097] In specific implementation, after the model library is added to the configuration software, the user can select the substation 3D equipment in the model library on the left side of the substation 3D model display area and drag it to the substation 3D model on the display interface, thereby realizing manual addition of auxiliary control equipment.

[0098] Step 102: Obtain a description file of the substation three-dimensional model.

[0099] Specifically, the description file of the substation 3D model includes at least the area information and the attribute information of the substation equipment in each area. The area information includes the area name (such as the room name), the building type and the location information (such as the start and end coordinates, height information, etc.), where the building type includes the wall, ground, shaft, water collection well, buried pipeline and other information. The attribute information of the substation equipment includes: the name of the area where the equipment is located, the equipment type, the equipment specification, the parameter information, and the location information.

[0100] Step 103: predict and obtain auxiliary control equipment deployment suggestion information based on the description file of the substation three-dimensional model and the prediction model.

[0101] The prediction model is obtained by training the large model using the design specification files of the historical substation auxiliary control equipment. The training process is described in detail in the subsequent embodiments and will not be described in detail here. The prediction model can also be called the auxiliary control equipment deployment knowledge base or the model file of the large model (eg. obj file).

[0102] The auxiliary control equipment deployment suggestion information includes the number of auxiliary control equipment and reference positions.

[0103] When this step is implemented, the auxiliary control equipment deployment problem is first constructed according to the description file of the substation three-dimensional model, and the auxiliary control equipment deployment problem is input into the prediction model to obtain the auxiliary control equipment deployment recommendation information.

[0104] For example, the auxiliary control equipment layout problem is: How many oil temperature and oil level remote transmission meters are needed for the main transformer of a 0kV voltage level substation? The prediction model outputs the layout suggestion: 0.

[0105] For example, the auxiliary control equipment layout problem is: Where should the lighting controller be deployed in the substation? The prediction model outputs the layout suggestions as follows: outdoor power distribution device area, control room, secondary equipment room, battery room and other important secondary equipment rooms, configured as needed.

[0106] For another example, the auxiliary control equipment deployment problem is: What auxiliary control equipment should be deployed in an 80-square-meter secondary equipment room? The prediction model outputs deployment suggestions such as: configure 4 to 8 temperature and humidity sensors (evenly deployed on four walls), 2 infrared dual-detection sensors, and deploy water leakage sensors under the air conditioner.

[0107] Step 104: According to the auxiliary control equipment deployment suggestion information, auxiliary control equipment is matched from the model library and the matched auxiliary control equipment is filled into the substation three-dimensional model.

[0108] In specific implementation, according to the auxiliary control devices and their quantity in the auxiliary control device deployment suggestion information, a corresponding number of auxiliary control device models are first retrieved from the model library, and then the auxiliary control devices are filled in the three-dimensional model according to their reference positions.

[0109] This embodiment can realize automatic configuration of the auxiliary control equipment, ensure the comprehensiveness, rationality and accuracy of the auxiliary control equipment configuration, and at the same time save manpower and improve the efficiency of the auxiliary control equipment configuration.

[0110] In one embodiment of the present invention, Figure 2 As shown in the figure, the prediction model training process includes:

[0111] Step 201, obtaining the design specification file of the historical substation auxiliary control equipment.

[0112] The design specification documents of substation auxiliary control equipment can be collected manually in advance, and may include the relevant specifications of the power grid organization for the auxiliary monitoring system and the deployment plan of the auxiliary monitoring system demonstration site. For example, "Technical Specifications for Secondary Systems of Autonomous and Controllable New Generation Substations, Device Series Specifications 8 Auxiliary Equipment" and "Design Plan for Intelligent Monitoring System of Auxiliary Equipment of 35-750kV Substations".

[0113] Step 202: extracting a specification question-answering dataset from the design specification file.

[0114] The standard question and answer data set includes a plurality of standard question and answer samples, each of which includes auxiliary control equipment deployment questions and deployment answers. The auxiliary control equipment deployment questions include the auxiliary control equipment demand questions of substation equipment. The deployment answers include the number of auxiliary control equipment and the deployment locations.

[0115] In specific implementation, the demand information of substation equipment for auxiliary control equipment can be extracted from the design specification file, including the name of substation equipment, the name of the required auxiliary control equipment, the function of the auxiliary control equipment, the performance index of the auxiliary control equipment, and the auxiliary control equipment. Based on the demand information, auxiliary control equipment deployment questions and deployment answers can be designed. At the same time, a deployment template can be established based on the auxiliary control equipment deployment questions, so that the auxiliary control equipment deployment questions can be generated in combination with the description file of the substation 3D model, and the auxiliary control equipment deployment suggestion information can be predicted based on the auxiliary control equipment deployment questions.

[0116] Step 203: Use the standard question-answer data set to train a large model to obtain a prediction model for predicting the deployment information of auxiliary control equipment.

[0117] The big model in this step is an existing model. This embodiment obtains a standard question and answer data set based on the design specification document of the substation auxiliary control equipment, and trains the big model based on the standard question and answer data set, so that the big model can learn the rules of the auxiliary control equipment layout problems and auxiliary control equipment layout recommendation information of the substation equipment in the specification document, and provide a basis for the subsequent substation auxiliary control equipment layout.

[0118] In one embodiment of the present invention, Figure 3 As shown, the above step 203 uses the standard question-answer data set to train a large model to obtain a prediction model for predicting auxiliary control equipment deployment information, including:

[0119] Step 301, divide the standard question-answering dataset into a training set and multiple test sets.

[0120] In this step, the division of the training set and the test set can be determined according to the number of samples in the standard question and answer dataset. The present invention does not specifically limit the number of samples included in the training set and the test set.

[0121] Step 302: Use the training set to train a large model.

[0122] Step 303, select one of the unused test sets, input the auxiliary control equipment deployment questions of the standardized question and answer samples in the test set into the large model, and obtain the predicted deployment answer.

[0123] Step 304, correcting the predicted control answer to obtain a corrected control answer. When this step is implemented, the predicted control answer can be corrected manually.

[0124] Step 305: Add the corrected control answer and its corresponding auxiliary control equipment control question to the training set as a new standard question and answer sample.

[0125] Step 306, repeatedly train the large model using the new training set, and execute subsequent steps until the accuracy of the predicted control answer meets the predetermined requirements.

[0126] The predetermined requirement may be, for example, that the accuracy of the control answer reaches a preset value, etc., which is not limited in the present invention.

[0127] This embodiment can improve the prediction accuracy of the prediction model by fine-tuning the prediction results of the prediction model and retraining the large model based on the fine-tuning results.

[0128] In one embodiment of the present invention, the attribute information of the substation equipment includes equipment name, equipment type, parameter information and location information. Figure 4 As shown,

[0129] After obtaining the description file of the substation 3D model, it also includes:

[0130] Step 401: extracting equipment name information from the description file of the substation three-dimensional model.

[0131] Step 402, if the device name information is not extracted, a reminder message is issued to remind the user to input the name information of each device in the substation 3D model through the substation 3D model display interface; the device name information input by the user is added to the description file of the substation 3D model.

[0132] Step 403: If the device name information is extracted, the device name information is normalized.

[0133] This embodiment can improve the prediction accuracy of the subsequent auxiliary control equipment deployment suggestion information by normalizing the description file of the substation three-dimensional model. In an embodiment of the present invention, if the substation three-dimensional model does not mark the building, the user can also mark various buildings in the window of the substation three-dimensional model, and the marking content includes but is not limited to the interval area, cable trench, shaft, ground, wall, water collection well, civil engineering pre-buried pipeline, and door.

[0134] In one embodiment of the present invention, Figure 5 As shown, step 103 predicts and obtains auxiliary control equipment deployment suggestion information according to the description file and prediction model of the substation three-dimensional model, including:

[0135] Step 501: extracting the area information and the attribute information of the substation equipment in each area from the description file of the substation three-dimensional model.

[0136] Step 502: Generate the deployment problem of the auxiliary control equipment of the current substation according to the regional information, the attribute information of the substation equipment in each region and the preset problem template.

[0137] Among them, the preset question template includes multiple empty fields, wherein the fields include attribute fields and area fields of substation equipment.

[0138] When this step is implemented, specific information is extracted from the area information and the attribute information of the substation equipment in each area according to the empty fields in the preset problem template, and the specific information is filled into the empty fields to obtain the control problem of the current substation auxiliary control equipment.

[0139] Step 503: input the control problem of the current substation auxiliary control equipment into the prediction model to obtain control recommendation information.

[0140] In one embodiment of the present invention, Figure 6 As shown, the intelligent configuration method of substation auxiliary control equipment also includes:

[0141] Step 601, determine the attribute information of the auxiliary control device according to the auxiliary control device filling information, wherein the attribute information of the auxiliary control device includes: the name of the area where the auxiliary control device is located, the name of the auxiliary control device, the type of the auxiliary control device, the parameter information of the auxiliary control device and the location information of the auxiliary control device.

[0142] Step 602: Update the attribute information of the auxiliary control equipment into the description file of the substation three-dimensional model.

[0143] This embodiment can automatically improve the description file of the substation three-dimensional model and save human resources.

[0144] In one embodiment of the present invention, Figure 7 As shown, the intelligent configuration method of substation auxiliary control equipment also includes:

[0145] Step 701: receiving monitoring requirement information configured by a user, wherein the monitoring requirement information includes a device to be monitored and a device to be monitored.

[0146] Step 702: Search the description file of the three-dimensional model of the substation for location information of devices around the device to be monitored.

[0147] Step 703: Determine the location information of the device to be monitored according to the location information of the devices around the device to be monitored.

[0148] When this step is implemented, the vacant position is determined according to the position information of the surrounding devices of the device to be monitored, and the vacant position is used as the position information of the device to be monitored.

[0149] Step 704: Acquire the model of the device to be monitored from the model library.

[0150] Step 705: fill the model of the device to be monitored into the three-dimensional model of the substation according to the location information of the device to be monitored.

[0151] This embodiment enables the user to adjust the auxiliary control equipment according to actual needs, and finally obtains a three-dimensional substation model that meets the on-site needs and user goals.

[0152] In specific implementation, after the auxiliary control equipment is automatically deployed, the user can also manually adjust the auxiliary control equipment deployed in the substation three-dimensional model (for example, delete it, adjust its position, etc.).

[0153] In one embodiment of the present invention, the area information includes the area name and the building information in the area, such as Figure 8 As shown, the method also includes:

[0154] Step 801: extracting attribute information of power source, attribute information of communication equipment, attribute information of auxiliary control equipment and architectural information related to circuit design from the description file of the three-dimensional model of the substation.

[0155] The power supply attribute information includes power supply current, output voltage, interface, etc. Communication equipment includes communication-related equipment such as switches, and the communication equipment attribute information includes communication-related parameters such as interfaces and functions. Building information related to loop design includes, for example, cable trenches, pre-buried pipelines, etc.

[0156] Step 802: Determine the type of the auxiliary control device according to the attribute information of the auxiliary control device.

[0157] Among them, auxiliary control equipment types include communication type and non-communication type.

[0158] Step 803, according to the loop design principle of the auxiliary control equipment type, the attribute information of the power supply, the attribute information of the communication equipment and the building information related to the loop design are used to perform path planning.

[0159] The circuit design principles for communication and non-communication devices are different. For communication devices, it is necessary to connect the power supply and the communication device, while for non-communication devices, it is only necessary to connect the power supply.

[0160] When implementing this step, path planning algorithms and three-dimensional collision algorithms can be used, combined with building information (pre-buried civil engineering, pipeline corridors, walls, etc.), and path planning can be carried out in accordance with the principles of proximity and safety isolation. The present invention does not limit the specific planning process.

[0161] Step 804: fill in the circuit loop in the three-dimensional model of the substation according to the path planning result.

[0162] This embodiment can realize automatic design of substation circuits, reduce labor costs, and improve circuit design efficiency and accuracy.

[0163] When the present invention is implemented, the circuit loop and the auxiliary control equipment are filled in the three-dimensional model of the substation, which can be confirmed by the user, and the final three-dimensional model of the substation is obtained under the premise of user confirmation.

[0164] Finally, the user confirms the rationality of the auxiliary control system layout plan (auxiliary control equipment and circuits). If the plan is reasonable and demonstrative, additional samples are generated based on the substation 3D model confirmed by the user and added to the sample set. When the number of samples in the sample set reaches the preset value, the prediction model is retrained.

[0165] In one embodiment of the present invention, based on obtaining a complete substation three-dimensional model description file, the equipment cost and construction cost can be calculated according to the substation equipment, auxiliary control equipment and circuits in the three-dimensional model description file, and displayed on the display interface.

[0166] This embodiment can automatically analyze the workload and various costs of the auxiliary control system implementation, providing a reference for subsequent substation construction.

[0167] Based on the same inventive concept, the present invention also provides a substation auxiliary control equipment intelligent configuration device, as described in the following embodiments. Since the principle of solving the problem by the substation auxiliary control equipment intelligent configuration device is similar to the substation auxiliary control equipment intelligent configuration method, the implementation of the substation auxiliary control equipment intelligent configuration device can refer to the method, and the repeated parts will not be repeated.

[0168] Specifically, Fig. 9 As shown, the intelligent configuration device of substation auxiliary control equipment includes:

[0169] The information adding unit 901 is used to add a model library and load a three-dimensional model of a substation in the configuration software, wherein the model library includes a three-dimensional model of an auxiliary control device;

[0170] An acquisition unit 902 is used to acquire a description file of a three-dimensional model of a substation;

[0171] The prediction unit 903 is used to predict and obtain auxiliary control equipment deployment suggestion information according to the description file of the substation three-dimensional model and the prediction model, wherein the prediction model is obtained by training a large model using the design specification file of the historical substation auxiliary control equipment, the description file of the substation three-dimensional model at least includes regional information and attribute information of the substation equipment in each region, and the auxiliary control equipment deployment suggestion information includes the number of auxiliary control equipment and reference positions;

[0172] The automatic filling unit 904 is used to match auxiliary control devices from the model library according to the auxiliary control device deployment suggestion information and fill the matched auxiliary control devices into the substation three-dimensional model.

[0173] The intelligent configuration device for auxiliary control equipment of a substation provided in this embodiment can realize automatic configuration of auxiliary control equipment, ensure the comprehensiveness, rationality and accuracy of auxiliary control equipment configuration, save manpower, improve the efficiency of auxiliary control equipment configuration, and has the advantage of simple operation. In addition, for substation reconstruction or expansion, it also supports model fine-tuning, saving manpower, material resources and financial resources.

[0174] The technical effects achievable by the present invention include: reducing the design workload and the material costs of construction equipment and pipelines; the state of the entire substation can be previewed before the substation is built, reducing the construction period and greatly improving the implementation efficiency; and a complete digital three-dimensional asset of the substation can be formed, which is convenient for later operation and maintenance and use.

[0175] In one embodiment of the present invention, a computer device is also provided, such as Fig.10 As shown, the computer device 1002 may include one or more processors 1004, such as one or more central processing units (CPUs), each of which may implement one or more hardware threads. The computer device 1002 may also include any memory 1006, which is used to store any kind of information such as code, settings, data, etc. Non-limitingly, for example, the memory 1006 may include any one or more combinations of the following: any type of RAM, any type of ROM, flash memory device, hard disk, optical disk, etc. More generally, any memory may use any technology to store information. Further, any memory may provide volatile or non-volatile retention of information. Further, any memory may represent a fixed or removable component of the computer device 1302. In one case, when the processor 1004 executes an associated instruction stored in any memory or a combination of memories, the computer device 1002 may perform any operation of the associated instruction. The computer device 1002 also includes one or more drive mechanisms 1008 for interacting with any memory, such as a hard disk drive mechanism, an optical disk drive mechanism, etc.

[0176] The computer device 1002 may also include an input / output module 1010 (I / O) for receiving various inputs (via input device 1012) and for providing various outputs (via output device 1014). A specific output mechanism may include a presentation device 1016 and an associated graphical user interface 1018 (GUI). In other embodiments, the input / output module 1010 (I / O), input device 1012, and output device 1014 may not be included, and the computer device 1002 may be used as a computer device in a network. The computer device 1002 may also include one or more network interfaces 1020 for exchanging data with other devices via one or more communication links 1022. One or more communication buses 1024 couple the components described above together.

[0177] The communication link 1022 may be implemented in any manner, for example, through a local area network, a wide area network (e.g., the Internet), a point-to-point connection, etc., or any combination thereof. The communication link 1022 may include any combination of hardwired links, wireless links, routers, gateway functions, name servers, etc. governed by any protocol or combination of protocols.

[0178] An embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the above method are executed.

[0179] An embodiment of the present invention further provides a computer-readable instruction, wherein when a processor executes the instruction, the program therein causes the processor to execute the method described in the aforementioned embodiment.

[0180] It should be understood that in various embodiments of the present invention, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0181] It should also be understood that in the embodiments of the present invention, the term "and / or" is only a description of the association relationship of the associated objects, indicating that three relationships may exist. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in the present invention generally indicates that the associated objects before and after are in an "or" relationship.

[0182] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed in the present invention can be implemented by electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0183] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0184] In the several embodiments provided by the present invention, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, or it can be an electrical, mechanical or other form of connection.

[0185] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the embodiments of the present invention.

[0186] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0187] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0188] The present invention uses specific embodiments to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A method for intelligent configuration of auxiliary control equipment of a substation, characterized in that: include: Add a model library in the configuration software and load the substation three-dimensional model, wherein the model library includes the three-dimensional model of the auxiliary control equipment; Obtain the description file of the substation 3D model; According to the description file and prediction model of the substation three-dimensional model, auxiliary control equipment deployment suggestion information is predicted, the prediction model is obtained by training a large model using the design specification file of the historical substation auxiliary control equipment, the description file of the substation three-dimensional model at least includes regional information and attribute information of the substation equipment in each region, and the auxiliary control equipment deployment suggestion information includes the number of auxiliary control equipment and reference positions; According to the auxiliary control equipment deployment suggestion information, auxiliary control equipment is matched from the model library and the matched auxiliary control equipment is filled into the substation three-dimensional model.

2. The method according to claim 1, characterized in that The prediction model training process includes: Obtain design specification documents for historical substation auxiliary control equipment; Extracting a specification question and answer data set from the design specification file, the specification question and answer data set comprising a plurality of specification question and answer samples, each specification question and answer sample comprising an auxiliary control equipment layout question and a layout answer, wherein the layout answer comprises the number of auxiliary control equipment and a layout position; The large model is trained using the standard question-answer data set to obtain a prediction model for predicting the deployment information of auxiliary control equipment.

3. The method according to claim 2, characterized in that The large model is trained using the standard question-answering data set to obtain a prediction model for predicting the deployment information of auxiliary control equipment, including: Divide the standard question-answering dataset into a training set and multiple test sets; Using the training set to train a large model; Select one of the unused test sets, input the auxiliary control equipment deployment questions of the standardized question and answer samples in the test set into the large model, and obtain the predicted deployment answer; Correct the predicted control answer to obtain a corrected control answer; The corrected control answer and its corresponding auxiliary control equipment control question are added to the training set as a new standard question and answer sample; The large model is repeatedly trained using the new training set, and subsequent steps are performed until the accuracy of the predicted control answer meets the predetermined requirements.

4. The method according to claim 1, characterized in that The attribute information of the substation equipment includes equipment name, equipment type, parameter information and location information; After obtaining the description file of the substation 3D model, it also includes: Extracting equipment name information from a description file of the substation three-dimensional model; If the device name information is not extracted, a reminder message is issued to remind the user to input the name information of each device in the substation three-dimensional model through the substation three-dimensional model display interface; the device name information input by the user is added to the description file of the substation three-dimensional model; If the device name information is extracted, the device name information is normalized.

5. The method according to claim 1, characterized in that According to the description file and prediction model of the substation three-dimensional model, the auxiliary control equipment deployment suggestion information is predicted, including: Extracting regional information and attribute information of substation equipment in each region from a description file of the substation three-dimensional model; Generate the control problem of the auxiliary control equipment of the current substation according to the regional information, the attribute information of the substation equipment in each area and the preset problem template; The control deployment problem of the current substation auxiliary control equipment is input into the prediction model to obtain control deployment recommendation information.

6. The method according to claim 1, characterized in that Also includes: Determine the attribute information of the auxiliary control device according to the filling information of the auxiliary control device; The attribute information of the auxiliary control equipment is updated into the description file of the substation three-dimensional model.

7. The method according to claim 6, characterized in that Also includes: Receiving monitoring requirement information configured by a user, wherein the monitoring requirement information includes a device to be monitored and a device to be monitored; Finding the location information of the equipment around the equipment to be monitored from the description file of the three-dimensional model of the substation; Determine the location information of the device to be monitored based on the location information of the devices around the device to be monitored; Obtain the model of the device to be monitored from the model library; According to the location information of the equipment to be monitored, the model of the equipment to be monitored is filled into the three-dimensional model of the substation.

8. The method according to claim 6, characterized in that The area information includes the area name and building information in the area; The method further comprises: Extracting attribute information of power source, attribute information of communication equipment, attribute information of auxiliary control equipment and architectural information related to circuit design from the description file of the three-dimensional model of the substation; Determine the type of the auxiliary control device according to the attribute information of the auxiliary control device; According to the loop design principles of the auxiliary control equipment type, the path planning is carried out using the attribute information of the power supply, the attribute information of the communication equipment and the building information related to the loop design; According to the path planning result, the circuit loop is filled in the three-dimensional model of the substation.

9. An intelligent configuration device for auxiliary control equipment of a substation, characterized in that: include: An information adding unit, used to add a model library and load a three-dimensional model of a substation in the configuration software, wherein the model library includes a three-dimensional model of auxiliary control equipment; An acquisition unit, used for acquiring a description file of a three-dimensional model of a substation; A prediction unit, configured to predict and obtain auxiliary control equipment deployment suggestion information according to the description file of the substation three-dimensional model and the prediction model, wherein the prediction model is obtained by training a large model using the design specification file of the historical substation auxiliary control equipment, the description file of the substation three-dimensional model at least includes regional information and attribute information of the substation equipment in each region, and the auxiliary control equipment deployment suggestion information includes the number of auxiliary control equipment and reference positions; The automatic filling unit is used to match auxiliary control equipment from the model library according to the auxiliary control equipment deployment suggestion information and fill the matched auxiliary control equipment into the substation three-dimensional model.

10. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the method according to any one of claims 1 to 8 is implemented.

11. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor of a computer device, the method according to any one of claims 1 to 8 is implemented.

12. A computer program product, comprising a computer program, characterized in that: When the computer program is executed by a processor of a computer device, the method according to any one of claims 1 to 8 is implemented.