Substation equipment maintenance method and system based on BIM model

Abstract

The invention relates to the technical field of substation equipment maintenance, in particular to a BIM model-based substation equipment maintenance system, which comprises an acquisition device, an edge system and a cloud system, and is characterized in that the acquisition device is in communication connection with the edge system, and the edge system is in communication connection with the cloud system; the acquisition device is used for acquiring basic information data and working state data of the power equipment and transmitting the acquired equipment data to the edge system; the side system comprises a BIM model establishing module and a monitoring data uploading module. According to the invention, the side system and the operation system are arranged, data acquisition is carried out on the substation equipment, the BIM model and the equipment fault prediction model are established, the substation equipment is monitored, if a fault risk occurs, a worker is notified to carry out maintenance in time, and different levels of equipment are monitored according to a maintenance result. The working efficiency of equipment maintenance is improved, and the maintenance cost is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of substation equipment maintenance, and in particular to a substation equipment maintenance method and system based on a BIM model. Background Art

[0002] BIM Building Information Model is a new method of building design, construction and management. It can display the entire life cycle of the project in a three-dimensional model, and can connect various static and dynamic data to the model. Through the collection and analysis of this data, it can intuitively manage and analyze the operation and maintenance of buildings and equipment throughout the entire life cycle.

[0003] In order to ensure the normal operation of the power system, we must attach great importance to the maintenance and inspection of substation equipment. This means that for the substation equipment, not only should we do a good job of daily maintenance, but we should also regularly dispatch technical personnel to conduct point-by-point inspections. The main purpose of equipment inspection is to ensure that there is no abnormal operation of the substation equipment, so as to effectively avoid the occurrence of equipment operation accidents and minimize losses. The existing technology is to manually inspect and screen the equipment one by one before maintenance, and to install sensors on the equipment to detect the operating status of the equipment. After observing the detection, the staff needs to independently judge whether the equipment is abnormal before maintenance.

[0004] At present, the workload of manual inspections is large. Secondly, after the equipment uses sensors, the staff needs to independently judge whether the equipment has any abnormalities after observation. However, due to the lack of integration, a large amount of test data is scattered and lacks coherence. It is difficult for managers to obtain useful information from it and they cannot maintain the equipment efficiently. Summary of the invention

[0005] The present invention provides the following technical solutions:

[0006] A substation equipment maintenance system based on a BIM model, comprising:

[0007] A collection device, an edge system, and a cloud system, wherein the collection device is communicatively connected to the edge system, and the edge system is communicatively connected to the cloud system;

[0008] The acquisition device is used to obtain basic information data and working status data of the power equipment, and transmit the obtained equipment data to the side system;

[0009] The side system includes a BIM model building module and a monitoring data uploading module. The BIM model building module is used to build a BIM model according to the basic information data of the power equipment, and the monitoring data uploading module is used to upload the working status data of the power equipment to the cloud system;

[0010] The cloud system includes an equipment failure prediction model building module, a failure prediction risk analysis module, and a risk information output module. The equipment failure prediction model module is used to train and generate an equipment failure prediction model based on the working status data of the power equipment and historical equipment failure data. The failure prediction risk analysis module is used to predict the risk of electrical equipment failure in the current period through the equipment failure prediction model based on the working status data of each electrical equipment currently uploaded by the edge system. The risk information output module is used to transmit the risk information of the electrical equipment failure to the edge system;

[0011] The edge system also includes an equipment maintenance task module, an equipment failure evaluation module, and an equipment monitoring module. The equipment maintenance task module is used to extract equipment-specific information with failure risks based on the risk information of failure of the electrical equipment and through the BIM model, and issue maintenance tasks to corresponding configuration personnel through this information. The equipment failure evaluation module is used for configuration personnel to perform failure evaluation on the equipment with failure risks based on the completion of the maintenance task, and finally transmit the evaluation results to the edge system. The equipment monitoring module is used to establish different monitoring levels for electrical equipment based on the evaluation results, and use different monitoring frequencies for the working status data of electrical equipment at different monitoring levels.

[0012] As a preferred real-time solution of the present invention, the device-specific information includes device model information, location information and configuration personnel information.

[0013] As a preferred real-time solution of the present invention, the fault prediction risk analysis module includes a first risk unit, a second risk unit, and a third risk unit;

[0014] The first risk unit generates no-notification risk information according to the risk value of the electrical equipment failing is less than a first threshold;

[0015] The second risk unit generates notification risk information according to the risk value of the electrical equipment failure being greater than the first threshold and less than the second threshold;

[0016] The third risk unit generates a notification and closes the equipment risk information according to the risk value of the electrical equipment failure being greater than a second threshold.

[0017] As a preferred real-time solution of the present invention, the equipment monitoring module includes a general equipment monitoring unit and a key equipment monitoring unit;

[0018] The general equipment monitoring unit includes the equipment as a general monitoring object if there is no fault information in the historical fault information of the equipment;

[0019] The key equipment monitoring unit includes the equipment as a key monitoring object if there is fault information in the equipment's historical fault information.

[0020] As a preferred real-time solution of the present invention, the equipment fault evaluation module checks the equipment with failure risk in the maintenance task according to the configuration personnel. If the configuration personnel finds that the equipment with failure risk does have a failure, fault evaluation information is generated. If the configuration personnel finds that the equipment with failure risk does not have a failure, non-fault evaluation information is generated.

[0021] The present invention also discloses a substation equipment maintenance system and method based on a BIM model, which specifically includes the following steps:

[0022] S1: Obtain basic information data and working status data of power equipment, and transmit the acquired equipment data to the side system;

[0023] S2: constructing a BIM model according to the basic information data of the power equipment, and uploading the working status data of the power equipment to the cloud system;

[0024] S3: Generate a device failure prediction model based on the working status data of the power equipment and the historical equipment failure data, perform predictions based on the working status data of each electrical equipment currently uploaded by the edge system through the device failure prediction model, generate the risk of electrical equipment failure in the current period, and transmit the risk information of the electrical equipment failure to the edge system;

[0025] S4: extracting device-specific information with a risk of failure based on the risk information of the electrical equipment and using the BIM model, and issuing maintenance tasks to corresponding configuration personnel based on the information;

[0026] S5: Configuration personnel conduct a fault evaluation on the equipment with failure risk based on the completion of the maintenance task, and finally transmit the evaluation results to the side system. Different monitoring levels are set for the electrical equipment based on the evaluation results, and different monitoring frequencies are used for the working status data of the power equipment at different monitoring levels.

[0027] As a preferred real-time solution of the present invention, the risk information in step S3 is based on the risk value of the electrical equipment failure being less than the first threshold, then generating no notification risk information; the risk value of the electrical equipment failure being greater than the first threshold and less than the second threshold, then generating notification risk information; based on the risk value of the electrical equipment failure being greater than the second threshold, then generating notification and closing equipment risk information.

[0028] As a preferred real-time solution of the present invention, in step S5, different monitoring levels are established for electrical equipment according to the evaluation results. If there is no fault information in the historical fault information of the equipment, it is included as a general monitoring object; if there is fault information in the historical fault information of the equipment, it is included as a key monitoring object.

[0029] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0030] The embodiment of the present application sets up an edge system and an operation system to collect data on substation equipment and establish a BIM model and an equipment failure prediction model to monitor the substation equipment. If there is a risk of failure, the staff will be notified in time to go for maintenance. According to the maintenance results, different levels of each equipment are monitored to solve the current technical problems of substation equipment maintenance, namely, the large workload of manual inspections and the need for staff to independently determine whether the equipment is abnormal after observing the detection after using sensors. However, due to the lack of integration of a large amount of detection data, the data is scattered and lacks coherence, making it difficult for managers to obtain useful information and unable to efficiently maintain the equipment.

[0031] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. 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 creative work.

[0033] Figure 1 A structural block diagram of a substation equipment maintenance system based on a BIM model is provided for an embodiment of the present application.

[0034] Figure 2 A structural block diagram of a cloud system is provided for an embodiment of the present application.

[0035] Figure 3 A structural block diagram of a cloud system is provided for an embodiment of the present application.

[0036] Figure 4 A flow chart of a substation equipment maintenance method based on a BIM model is provided for an embodiment of the present application. DETAILED DESCRIPTION

[0037] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings 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.

[0038] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention claimed for protection, but merely represents selected embodiments of the present invention. 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.

[0039] like Figure 1-4 As shown, the present application provides a substation equipment maintenance method and system based on the BIM model. By setting up an edge system and an operation system, data of the substation equipment is collected and a BIM model and an equipment failure prediction model are established to monitor the substation equipment. If a failure risk occurs, the staff is notified in time to go for maintenance. According to the maintenance results, the different levels of each equipment are monitored to solve the current substation equipment maintenance. First, the workload of manual inspection is large. Second, after the equipment uses sensors, the staff needs to independently judge whether the equipment is abnormal after observing the detection. However, due to the lack of integration of a large amount of detection data, the data is scattered and lacks coherence. It is difficult for managers to obtain useful information from it and it is impossible to efficiently maintain the equipment. The technical problems include:

[0040] like Figure 1-3 As shown, the present application provides a substation equipment maintenance system based on a BIM model, including:

[0041] A collection device, an edge system, and a cloud system, wherein the collection device is communicatively connected to the edge system, and the edge system is communicatively connected to the cloud system;

[0042] The acquisition device is used to obtain basic information data and working status data of the power equipment, and transmit the obtained equipment data to the side system;

[0043] The side system includes a BIM model building module and a monitoring data uploading module. The BIM model building module is used to build a BIM model according to the basic information data of the power equipment, and the monitoring data uploading module is used to upload the working status data of the power equipment to the cloud system;

[0044] The cloud system includes an equipment failure prediction model building module, a failure prediction risk analysis module, and a risk information output module. The equipment failure prediction model module is used to train and generate an equipment failure prediction model based on the working status data of the power equipment and historical equipment failure data. The failure prediction risk analysis module is used to predict the risk of electrical equipment failure in the current period through the equipment failure prediction model based on the working status data of each electrical equipment currently uploaded by the edge system. The risk information output module is used to transmit the risk information of the electrical equipment failure to the edge system;

[0045] The edge system also includes an equipment maintenance task module, an equipment failure evaluation module, and an equipment monitoring module. The equipment maintenance task module is used to extract equipment-specific information with failure risks based on the risk information of failure of the electrical equipment and through the BIM model, and issue maintenance tasks to corresponding configuration personnel through this information. The equipment failure evaluation module is used for configuration personnel to perform failure evaluation on the equipment with failure risks based on the completion of the maintenance task, and finally transmit the evaluation results to the edge system. The equipment monitoring module is used to establish different monitoring levels for electrical equipment based on the evaluation results, and use different monitoring frequencies for the working status data of electrical equipment at different monitoring levels.

[0046] Specifically, the BIM model is a new method of building design, construction, and management. It can display the entire life cycle of the project in a three-dimensional model, and can connect various static and dynamic data to the model. Through the collection and analysis of these data, it can intuitively manage and analyze the operation and maintenance of buildings and equipment throughout the entire life cycle. In the patent of this invention, the BIM model is established based on the basic information data of all electrical equipment in the substation.

[0047] In this embodiment, the device-specific information includes device model information, location information, and configuration personnel information.

[0048] Specifically, the model of the equipment makes it easy for staff to check the model during maintenance and inspection. Each device has a unique model to prevent false detection during maintenance and inspection. The location of the equipment can be quickly located to the specific location of the equipment in the substation. The configuration personnel are the exclusive maintenance and inspection personnel equipped for the equipment.

[0049] In this embodiment, the fault prediction risk analysis module includes a first risk unit, a second risk unit, and a third risk unit;

[0050] The first risk unit generates no-notification risk information according to the risk value of the electrical equipment failing is less than a first threshold;

[0051] The second risk unit generates notification risk information according to the risk value of the electrical equipment failure being greater than the first threshold and less than the second threshold;

[0052] The third risk unit generates a notification and closes the equipment risk information according to the risk value of the electrical equipment failure being greater than a second threshold.

[0053] Specifically, predictions are made in the model based on the operating status data of the electrical equipment in the current period of time. When the risk value of the electrical equipment failure is less than the first threshold, no notification risk information is generated; when the risk value of the electrical equipment failure is greater than the first threshold and less than the second threshold, notification risk information is generated; when the risk value of the electrical equipment failure is greater than the second threshold, notification and equipment shutdown risk information is generated. No notification risk information will not be sent, and both notification risk information and notification and equipment shutdown risk information will be sent.

[0054] In this embodiment, the equipment monitoring module includes a general equipment monitoring unit and a key equipment monitoring unit;

[0055] The general equipment monitoring unit includes the equipment as a general monitoring object if there is no fault information in the historical fault information of the equipment;

[0056] The key equipment monitoring unit includes the equipment as a key monitoring object if there is fault information in the equipment's historical fault information.

[0057] Specifically, among all the electrical equipment in the substation, if the equipment has ever failed, the equipment will be included as a key monitoring object; if the equipment has never failed, the equipment will be included as a general monitoring object. The monitoring frequency of the equipment included as a key monitoring object is higher than that of the electrical equipment included as a general monitoring object.

[0058] In this embodiment, the equipment failure evaluation module checks the equipment with failure risk in the maintenance task according to the configuration personnel. If the configuration personnel finds that the equipment with failure risk does have a failure, failure evaluation information is generated; if the configuration personnel finds that the equipment with failure risk does not have a failure, non-fault evaluation information is generated.

[0059] Specifically, by monitoring all electrical equipment in the substation, the fault prediction risk of each electrical equipment can be learned. When the monitoring data of the electrical equipment is normal, the electrical equipment is a fault-free equipment. When the monitoring data of the electrical equipment is abnormal, if the staff does not find any fault with the equipment during maintenance and inspection, the electrical equipment is a fault-free equipment. If the staff finds that the equipment is faulty during maintenance and inspection, the electrical equipment is a faulty equipment.

[0060] like Figure 4As shown, the present invention also discloses a substation equipment maintenance system and method based on a BIM model, which specifically includes the following steps:

[0061] S1: Obtain basic information data and working status data of power equipment, and transmit the acquired equipment data to the side system;

[0062] S2: constructing a BIM model according to the basic information data of the power equipment, and uploading the working status data of the power equipment to the cloud system;

[0063] S3: Generate a device failure prediction model based on the working status data of the power equipment and the historical equipment failure data, perform predictions based on the working status data of each electrical equipment currently uploaded by the edge system through the device failure prediction model, generate the risk of electrical equipment failure in the current period, and transmit the risk information of the electrical equipment failure to the edge system;

[0064] S4: extracting device-specific information with a risk of failure based on the risk information of the electrical equipment and using the BIM model, and issuing maintenance tasks to corresponding configuration personnel based on the information;

[0065] S5: Configuration personnel conduct a fault evaluation on the equipment with failure risk based on the completion of the maintenance task, and finally transmit the evaluation results to the side system. Different monitoring levels are set for the electrical equipment based on the evaluation results, and different monitoring frequencies are used for the working status data of the power equipment at different monitoring levels.

[0066] In this embodiment, the risk information in step S3 is based on the risk value of the electrical equipment failure being less than a first threshold, then non-notification risk information is generated; if the risk value of the electrical equipment failure is greater than the first threshold and less than the second threshold, then notification risk information is generated; if the risk value of the electrical equipment failure is greater than the second threshold, then notification and equipment closing risk information is generated.

[0067] Specifically, predictions are made in the model based on the operating status data of the electrical equipment in the current period of time. When the risk value of the electrical equipment failure is less than the first threshold, no notification risk information is generated; when the risk value of the electrical equipment failure is greater than the first threshold and less than the second threshold, notification risk information is generated; when the risk value of the electrical equipment failure is greater than the second threshold, notification and equipment shutdown risk information is generated. No notification risk information will not be sent, and both notification risk information and notification and equipment shutdown risk information will be sent.

[0068] In this embodiment, in step S5, different monitoring levels are set for electrical equipment according to the evaluation results. If there is no fault information in the historical fault information of the equipment, it is included as a general monitoring object; if there is fault information in the historical fault information of the equipment, it is included as a key monitoring object.

[0069] Specifically, among all the electrical equipment in the substation, if the equipment has ever failed, the equipment will be included as a key monitoring object; if the equipment has never failed, the equipment will be included as a general monitoring object. The monitoring frequency of the equipment included as a key monitoring object is higher than that of the electrical equipment included as a general monitoring object.

[0070] Although the present application has been described in conjunction with specific features and embodiments thereof, it is obvious that various modifications and combinations may be made thereto without departing from the spirit and scope of the present application. Accordingly, this specification and the accompanying drawings are merely exemplary illustrations of the present application and are deemed to have covered any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, a person skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application is intended to include these modifications and variations.

Claims

1. A substation equipment maintenance system based on BIM model, characterized in that: include: A collection device, an edge system, and a cloud system, wherein the collection device is communicatively connected to the edge system, and the edge system is communicatively connected to the cloud system; The acquisition device is used to obtain basic information data and working status data of the power equipment, and transmit the obtained equipment data to the side system; The side system includes a BIM model building module and a monitoring data uploading module. The BIM model building module is used to build a BIM model according to the basic information data of the power equipment, and the monitoring data uploading module is used to upload the working status data of the power equipment to the cloud system; The cloud system includes an equipment failure prediction model building module, a failure prediction risk analysis module, and a risk information output module. The equipment failure prediction model module is used to train and generate an equipment failure prediction model based on the working status data of the power equipment and historical equipment failure data. The failure prediction risk analysis module is used to predict the risk of electrical equipment failure in the current period through the equipment failure prediction model based on the working status data of each electrical equipment currently uploaded by the edge system. The risk information output module is used to transmit the risk information of the electrical equipment failure to the edge system; The edge system also includes an equipment maintenance task module, an equipment failure evaluation module, and an equipment monitoring module. The equipment maintenance task module is used to extract equipment-specific information with failure risks based on the risk information of failure of the electrical equipment and through the BIM model, and issue maintenance tasks to corresponding configuration personnel through this information. The equipment failure evaluation module is used for configuration personnel to perform failure evaluation on the equipment with failure risks based on the completion of the maintenance task, and finally transmit the evaluation results to the edge system. The equipment monitoring module is used to establish different monitoring levels for electrical equipment based on the evaluation results, and use different monitoring frequencies for the working status data of electrical equipment at different monitoring levels.

2. A substation equipment maintenance system based on a BIM model according to claim 1, characterized in that: The device-specific information includes device model information, location information, and configuration personnel information.

3. A substation equipment maintenance system based on a BIM model according to claim 1, characterized in that: The fault prediction risk analysis module includes a first risk unit, a second risk unit, and a third risk unit; The first risk unit generates no-notification risk information according to the risk value of the electrical equipment failing is less than a first threshold; The second risk unit generates notification risk information according to the risk value of the electrical equipment failure being greater than the first threshold and less than the second threshold; The third risk unit generates a notification and closes the equipment risk information according to the risk value of the electrical equipment failure being greater than a second threshold.

4. A substation equipment maintenance system based on a BIM model according to claim 1, characterized in that: The equipment monitoring module includes a general equipment monitoring unit and a key equipment monitoring unit; The general equipment monitoring unit includes the equipment as a general monitoring object if there is no fault information in the historical fault information of the equipment; The key equipment monitoring unit includes the equipment as a key monitoring object if there is fault information in the equipment's historical fault information.

5. A substation equipment maintenance system based on a BIM model according to claim 1, characterized in that: The equipment failure evaluation module checks the equipment with failure risk in the maintenance task according to the configuration personnel. If the configuration personnel finds that the equipment with failure risk is indeed faulty, failure evaluation information is generated; if the configuration personnel finds that the equipment with failure risk is not faulty, no-fault evaluation information is generated.

6. A substation equipment maintenance system and method based on a BIM model according to claim 1, characterized in that: The specific steps include: S1: Obtain basic information data and working status data of power equipment, and transmit the acquired equipment data to the side system; S2: constructing a BIM model according to the basic information data of the power equipment, and uploading the working status data of the power equipment to the cloud system; S3: Generate a device failure prediction model based on the working status data of the power equipment and the historical equipment failure data, perform predictions based on the working status data of each electrical equipment currently uploaded by the edge system through the device failure prediction model, generate the risk of electrical equipment failure in the current period, and transmit the risk information of the electrical equipment failure to the edge system; S4: extracting device-specific information with a risk of failure based on the risk information of the electrical equipment and using the BIM model, and issuing maintenance tasks to corresponding configuration personnel based on the information; S5: Configuration personnel conduct fault evaluation on the equipment with failure risk according to the completion of maintenance tasks, and finally transmit the evaluation results to the side system. Different monitoring levels are set for the electrical equipment according to the evaluation results, and different monitoring frequencies are used for the working status data of the power equipment at different monitoring levels.

7. A BIM model-based substation equipment maintenance method according to claim 6, characterized in that: The risk information in step S3 is based on the risk value of the electrical equipment failing is less than the first threshold, then generating the risk information of not notifying; If the risk value of the electrical equipment failure is greater than a first threshold value and less than a second threshold value, a notification risk information is generated; According to the risk value of the electrical equipment failure being greater than a second threshold, a notification is generated and the equipment risk information is closed.

8. A BIM model-based substation equipment maintenance method according to claim 6, characterized in that: In step S5, different monitoring levels are set for the electrical equipment according to the evaluation results. If there is no fault information in the historical fault information of the equipment, it is included as a general monitoring object; if there is fault information in the historical fault information of the equipment, it is included as a key monitoring object.

Images