Electric power equipment infrared inspection diagnosis method and system based on task collaboration
By constructing a monitoring substructure and communication link for equipment points, rapid early warning and efficient inspection of power equipment via infrared inspection are achieved, solving the problem of linkage between monitoring and inspection in existing technologies and improving inspection efficiency and data management reliability.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- MAINTENANCE BRANCH OF STATE GRID CHONGQING ELECTRIC POWER
- Filing Date
- 2026-01-26
- Publication Date
- 2026-05-08
AI Technical Summary
Existing infrared thermal imaging technology lacks a unified standard in power equipment inspection. Fixed online monitoring and mobile handheld inspection cannot be linked, automatic and rapid verification cannot be achieved, a closed-loop mechanism is lacking, map management is prone to errors, and it is difficult to form an effective equipment status file.
By constructing a monitoring substructure for equipment points, optimizing online monitoring devices, adding primary and secondary communication links, enabling collaborative operation of inspection sub-equipment, constructing inspection sub-tasks and data sub-databases, synchronously storing feedback images and status data, and optimizing diagnostic models.
It enables rapid early warning and efficient inspection of power equipment via infrared inspection, improves inspection efficiency, reduces the risk of data loss and tampering, and provides data support for root cause analysis of faults and accountability.
Smart Images
Figure CN121998341A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of power equipment condition monitoring technology, and in particular to a method and system for infrared inspection and diagnosis of power equipment based on task collaboration. Background Technology
[0002] Infrared thermal imaging technology is an important means of live-line testing of power equipment, detecting thermal defects by detecting the surface temperature distribution of the equipment. Currently, there are two main application methods: one is to install fixed online infrared thermal imagers on key equipment within substations for continuous monitoring; the other is for maintenance personnel to use handheld infrared thermal imagers to conduct regular on-site inspections.
[0003] The process relies on manual experience and lacks unified standards. Fixed online monitoring and mobile handheld inspections are independent and cannot be linked. After the online system detects anomalies, it cannot automatically and quickly guide the handheld device for targeted verification, lacking a closed-loop mechanism of "monitoring-early warning-verification". Map naming and management rely on manual methods, which are prone to errors and make it difficult to form effective and traceable equipment status files. Summary of the Invention
[0004] The purpose of this application is to provide a method and system for infrared inspection and diagnosis of power equipment based on task collaboration, in order to solve the above-mentioned technical problems and improve the efficiency of infrared inspection and diagnosis of power equipment.
[0005] In some embodiments of this application, the monitoring substructure of each equipment point is constructed by optimizing the online monitoring device to achieve rapid early warning of abnormal equipment point states, and corresponding inspection sub-tasks are constructed to improve the allocation and calling efficiency of inspection sub-devices (handheld inspection devices). By adding a primary communication link and a secondary communication link, collaborative operation with the inspection sub-devices is achieved, thereby improving the overall inspection efficiency.
[0006] In some embodiments of this application, a data sub-database for each inspection sub-task is constructed, and the initial feedback images and on-site collected status data are stored synchronously to provide data support for subsequent root cause analysis of faults, optimization of diagnostic models, and accountability. By constructing a data transmission structure for each inspection sub-task, the risk of data loss and tampering is reduced.
[0007] In some embodiments of this application, an infrared inspection and diagnostic method for power equipment based on task collaboration is provided, characterized by comprising:
[0008] Based on the equipment parameters of the substation, multiple equipment points are set up, and a monitoring substructure for each equipment point is established. Based on the monitoring substructure, feedback images of each equipment point are obtained, and multiple inspection sub-tasks are generated based on the preset risk assessment model and all feedback images. The monitoring data packets are obtained from all inspection sub-tasks, and the maintenance command is generated based on the monitoring data packets.
[0009] In some embodiments of this application, establishing the monitoring substructure for each device point includes: Establish a sequence of equipment points A, A=(a1,a2…ai…an), where ai is the i-th equipment point; n is the number of equipment points; Based on the equipment point sequence A, set ai as the target equipment point in sequence; The monitoring submodule for setting target monitoring points; Acquire the location data and device feature packet of the target device; Generate a local verification library for the target device points based on location data and device feature packets; Establish primary and secondary communication links for the target device. Establish a monitoring substructure for the target device point, the monitoring substructure including: a monitoring submodule, a local verification library, a primary communication link and a secondary communication link; Establish monitoring substructures for each equipment point in sequence.
[0010] In some embodiments of this application, the generation of multiple inspection subtasks includes: Based on the equipment point sequence A, ai is sequentially set as the equipment point to be evaluated; Obtain feedback images of the equipment points to be evaluated based on preset feedback time nodes; Based on the feedback image and risk assessment model, generate the abnormal risk value b of the equipment point to be assessed; Preset abnormal risk threshold B1; If b > B1, generate an inspection subtask for the equipment points to be evaluated; Check each device point sequentially to determine whether an inspection sub-task has been generated.
[0011] In some embodiments of this application, the step of generating the inspection subtask of the equipment point to be evaluated includes: Obtain the location parameters and local verification library of the equipment to be evaluated; Set the inspection path based on the location parameters; Generate a verification hash value based on the local verification library; Establish a data sub-database to store the feedback images obtained from the monitoring substructure of the equipment points to be evaluated; Generate an inspection subtask, which includes: inspection path, verification hash value, and data sub-database.
[0012] In some embodiments of this application, the step of obtaining monitoring data packets based on all inspection subtasks includes: Establish a sequence C of inspection subtasks; C = (c1, c2, ..., ci, ..., cm), where ci is the i-th inspection subtask; m is the number of inspection subtasks; Based on the inspection sub-task sequence C, ci are sequentially set as target sub-tasks; Set the equipment points to be inspected and the associated monitoring structure according to the target sub-tasks; Select the execution sub-device for the target sub-task based on the preset inspection equipment library; Configure the data transmission policy for the execution sub-device; According to the data transmission strategy, obtain the device status data collected by the execution sub-device; Store the device status data in the data sub-database corresponding to the target sub-task; The monitoring data package for the target sub-task is generated based on the device status data and feedback images in the data sub-database. The monitoring data packets for each inspection subtask are generated sequentially.
[0013] In some embodiments of this application, the setting of the data transmission strategy for the execution sub-device includes: When the execution sub-device arrives at the inspection equipment point, it sends a verification packet; The associated monitoring structure obtains verification packets through a primary communication link; The first hash value is generated based on the associated monitoring structure; Generate a second hash value based on the verification packet; If the first hash value equals the second hash value, generate a communication command; If the first hash value is not equal to the second hash value, an early warning instruction is generated.
[0014] In some embodiments of this application, the communication instructions include: Establish primary and secondary transmission channels; Multiple transmission time nodes are preset; Obtain device status data collected by the execution sub-device at the current transmission time node, and generate transmission data packets and backup data packets based on the device status data; The execution sub-device sends the data packets to the central control unit through the primary transmission channel; The execution sub-device sends the backup data packet to the associated monitoring structure through the secondary transmission channel; The associated monitoring structure collects inspection record data and generates inspection record packages; The associated monitoring structure sends inspection record packets and backup data packets to the central control unit through a secondary communication link; The central control unit determines whether to generate a correction command based on the inspection record packet and the backup data packet.
[0015] In some embodiments of this application, a task-cooperative infrared inspection and diagnostic system for power equipment is provided, comprising: The central control unit is used to set multiple equipment points according to the equipment parameters of the substation. A monitoring unit is used to establish a monitoring substructure for each device point, and the monitoring substructure is used to acquire feedback images from each device point. The inspection unit includes multiple inspection sub-devices, and the inspection unit is used to perform inspection sub-tasks. The central control unit includes: The first processing module is used to generate multiple inspection sub-tasks based on the preset risk assessment model and all feedback images; The second processing module is used to obtain monitoring data packets based on all inspection subtasks. The second processing module is also used to determine whether to generate a maintenance command based on the monitoring data packet.
[0016] In some embodiments of this application, the monitoring unit is further configured to: Establish a sequence of equipment points A, A=(a1,a2…ai…an), where ai is the i-th equipment point; n is the number of equipment points; Based on the equipment point sequence A, set ai as the target equipment point in sequence; The monitoring submodule for setting target monitoring points; Acquire the location data and device feature packet of the target device; Generate a local verification library for the target device points based on location data and device feature packets; Establish primary and secondary communication links for the target device. Establish a monitoring substructure for the target device point, the monitoring substructure including: a monitoring submodule, a local verification library, a primary communication link and a secondary communication link; Establish monitoring substructures for each equipment point in sequence.
[0017] In some embodiments of this application, the first processing module is further configured to: Based on the equipment point sequence A, ai is sequentially set as the equipment point to be evaluated; Obtain feedback images of the equipment points to be evaluated based on preset feedback time nodes; Based on the feedback image and risk assessment model, generate the abnormal risk value b of the equipment point to be assessed; Preset abnormal risk threshold B1; If b > B1, generate an inspection subtask for the equipment points to be evaluated; Check each equipment point sequentially to see if an inspection sub-task has been generated; The sub-task for generating the inspection points of the equipment to be evaluated includes: Obtain the location parameters and local verification library of the equipment to be evaluated; Set the inspection path based on the location parameters; Generate a verification hash value based on the local verification library; Establish a data sub-database to store the feedback images obtained from the monitoring substructure of the equipment points to be evaluated; Generate an inspection subtask, which includes: inspection path, verification hash value, and data sub-database.
[0018] Compared with existing technologies, the infrared inspection and diagnosis method and system for power equipment based on task collaboration proposed in this application have the following advantages: By optimizing the online monitoring device to construct a monitoring substructure for each equipment point, rapid early warning of abnormal equipment conditions is achieved. Corresponding inspection sub-tasks are also constructed to improve the allocation and deployment efficiency of inspection sub-devices (handheld inspection devices). Furthermore, by adding primary and secondary communication links, collaborative operation with the inspection sub-devices is realized, thereby enhancing overall inspection efficiency.
[0019] A data sub-database is constructed for each inspection sub-task, and the initial feedback images and on-site collected status data are stored synchronously to provide data support for subsequent root cause analysis of faults, optimization of diagnostic models, and accountability. By constructing a data transmission structure for each inspection sub-task, the risk of data loss and tampering is reduced. Attached Figure Description
[0020] Figure 1 This is a flowchart illustrating a preferred embodiment of an infrared inspection and diagnostic method for power equipment based on task collaboration. Detailed Implementation
[0021] The specific embodiments of this application will be described in further detail below with reference to the accompanying drawings and examples. The following examples are used to illustrate this application, but are not intended to limit the scope of this application.
[0022] In the description of this application, it should be understood that the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this application.
[0023] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this application, unless otherwise stated, "a plurality of" means two or more.
[0024] In the description of this application, it should be noted that, unless otherwise expressly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection between two components. Those skilled in the art can understand the specific meaning of the above terms in this application based on the specific circumstances.
[0025] like Figure 1 As shown, a preferred embodiment of this application provides a method for infrared inspection and diagnosis of power equipment based on task collaboration, comprising: S1O1: Set multiple equipment points according to the equipment parameters of the substation, and establish a monitoring substructure for each equipment point; S102: Obtain feedback images from each equipment point based on the monitoring substructure, and generate multiple inspection sub-tasks based on the preset risk assessment model and all feedback images; S103: Obtain monitoring data packets based on all inspection subtasks, and determine whether to generate maintenance instructions based on the monitoring data packets.
[0026] Specifically, multiple equipment points are set up based on all the power equipment in the substation, where each equipment point represents a single power device.
[0027] Specifically, the monitoring substructure can continuously monitor the power equipment at the equipment points online and upload the collected feedback images (i.e., infrared images) from the equipment points to the central control unit for analysis, thereby providing timely early warnings of abnormal states of each power equipment.
[0028] Specifically, the monitoring data package includes feedback images of equipment points obtained through the monitoring substructure and equipment status data collected through the inspection sub-equipment. By fusing and analyzing all the data in the monitoring data package, it is determined whether there are operational risks in the power equipment. If there are operational risks, maintenance instructions are generated to carry out maintenance and repair in a timely manner, so as to ensure the overall stability of the substation operation and the accuracy of fault diagnosis of the power equipment.
[0029] Specifically, a monitoring substructure is established for each device point, including: Establish a sequence of equipment points A, A=(a1,a2…ai…an), where ai is the i-th equipment point; n is the number of equipment points; Based on the equipment point sequence A, set ai as the target equipment point in sequence; The monitoring submodule for setting target monitoring points; Acquire the location data and device feature packet of the target device; Generate a local verification library for the target device points based on location data and device feature packets; Establish primary and secondary communication links for the target device. Establish a monitoring substructure for the target device points. The monitoring substructure includes: a monitoring submodule, a local verification library, a primary communication link, and a secondary communication link. Establish monitoring substructures for each equipment point in sequence.
[0030] Specifically, the monitoring submodule preferably uses an online dual-spectrum PTZ camera, which can acquire feedback images of the corresponding power equipment at the device point in real time. A communication module is added inside the dual-spectrum PTZ camera, which uses wireless network technology to establish a communication connection with the central control unit, thus constructing a secondary communication link. The communication module also uses Bluetooth technology to generate a local communication network in the vicinity of the device point, thus constructing a primary communication link. When the inspection sub-device (i.e., the device built into the handheld thermal imager) enters the current area, the monitoring sub-structure and the inspection sub-device can connect through the primary communication link.
[0031] Specifically, the communication module also has a storage space where a local verification library is built. This storage space can also temporarily store backup data packets sent by the inspection sub-devices.
[0032] Specifically, based on the equipment parameters of the monitoring substructure (i.e., the equipment number of the dual-spectrum gimbal camera) and the location information (latitude and longitude), a verification content is generated and stored in a local verification package.
[0033] It is understandable that in the above embodiments, by optimizing the online monitoring device to construct the monitoring substructure of each equipment point, rapid early warning of abnormal equipment point states can be achieved. Corresponding inspection sub-tasks are also constructed to improve the allocation and calling efficiency of inspection sub-devices (built-in devices in handheld thermal imagers). Furthermore, by adding primary and secondary communication links, collaborative operation with the inspection sub-devices is achieved, thereby improving overall inspection efficiency.
[0034] In a preferred embodiment of this application, multiple inspection subtasks are generated, including: Based on the equipment point sequence A, ai is sequentially set as the equipment point to be evaluated; Obtain feedback images of the equipment points to be evaluated based on preset feedback time nodes; Based on the feedback image and risk assessment model, generate the abnormal risk value b of the equipment point to be assessed; Preset abnormal risk threshold B1; If b > B1, generate an inspection subtask for the equipment points to be evaluated; Check each device point sequentially to determine whether an inspection sub-task has been generated.
[0035] Specifically, by analyzing the feedback images of the equipment points to be evaluated, areas with temperature values exceeding a preset safety threshold are filtered out. Based on the filtering results, initial anomaly values are generated. The larger the proportion of areas exceeding the safety threshold, the larger the corresponding initial anomaly value. The mapping relationship between the two can be set according to historical parameters.
[0036] Specifically, the safety threshold refers to the temperature value of electrical equipment during normal operation. When the real-time temperature value is greater than the preset safety threshold, it indicates that the electrical equipment is malfunctioning.
[0037] Specifically, the non-inspection time of the equipment point to be evaluated is obtained through the risk assessment model (i.e., the time interval between the last execution of the inspection sub-task and the current time node). The longer the non-inspection time, the larger the compensation coefficient. The mapping relationship between the two can be set according to historical parameters, and the value range of the compensation coefficient is greater than 1.
[0038] Specifically, the product of the compensation coefficient and the initial outlier is set as the outlier risk value.
[0039] Specifically, the abnormal risk value threshold can be set based on historical parameters. When the real-time abnormal risk value is greater than the preset abnormal risk value threshold, it indicates that the power equipment at the equipment point to be evaluated has a potential fault risk, and further diagnosis is required by collecting detailed data through inspection sub-equipment.
[0040] Specifically, the process of generating inspection subtasks for the equipment points to be evaluated includes: Obtain the location parameters and local verification library of the equipment to be evaluated; Set the inspection path based on the location parameters; Generate a verification hash value based on the local verification library; Establish a data sub-database to store the feedback images obtained from the monitoring substructure of the equipment points to be evaluated; Generate inspection subtasks, which include: inspection path, hash value verification, and data sub-database.
[0041] Specifically, the inspection route refers to the travel path taken by the inspection task to reach the equipment point to be evaluated.
[0042] Specifically, the verification content in the local verification library of the device to be evaluated is hashed to generate a verification hash value, and the verification hash value is sent to the corresponding inspection sub-device along with the inspection sub-task.
[0043] Specifically, based on the inspection requirements of the equipment points to be evaluated, a data sub-library is constructed. This inspection sub-library can uniformly store the feedback images of the equipment points to be evaluated obtained by the monitoring substructure and the equipment status data collected by the inspection sub-equipment.
[0044] It is understandable that, in the above embodiments, a data sub-database is constructed for each inspection sub-task, and the initial feedback images and on-site collected status data are stored synchronously to provide data support for subsequent root cause analysis of faults, optimization of diagnostic models, and accountability. In a preferred embodiment of this application, the monitoring data packet is obtained based on all inspection sub-tasks, including: Establish a sequence C of inspection subtasks; C = (c1, c2, ..., ci, ..., cm), where ci is the i-th inspection subtask; m is the number of inspection subtasks; Based on the inspection sub-task sequence C, ci are sequentially set as target sub-tasks; Set the equipment points to be inspected and the associated monitoring structure according to the target sub-tasks; Select the execution sub-device for the target sub-task based on the preset inspection equipment library; Configure the data transmission policy for the execution sub-device; According to the data transmission strategy, obtain the device status data collected by the execution sub-device; Store the device status data in the data sub-database corresponding to the target sub-task; The monitoring data package for the target sub-task is generated based on the device status data and feedback images in the data sub-database. The monitoring data packets for each inspection subtask are generated sequentially.
[0045] Specifically, the inspection equipment library includes multiple inspection sub-equipment, among which the inspection sub-equipment is preferably the built-in equipment of a handheld thermal imager.
[0046] Specifically, the equipment status data refers to the infrared and visible light image data of the power equipment collected by the built-in equipment of the thermal imager.
[0047] Specifically, the equipment points corresponding to the target sub-tasks are designated as the equipment points to be inspected, and the monitoring sub-structure of the equipment points to be inspected is designated as the associated monitoring structure.
[0048] Specifically, based on the equipment point to be inspected, the best inspection sub-device (i.e. the inspection sub-device with the shortest distance to the equipment point to be inspected) is selected, and this inspection sub-device is set as the execution sub-device of the target sub-task.
[0049] Specifically, the data transmission strategy for the execution sub-device is set, including: When the execution sub-device arrives at the inspection equipment point, it sends a verification packet; The associated monitoring structure obtains verification packets through a primary communication link; The first hash value is generated based on the associated monitoring structure; Generate a second hash value based on the verification packet; If the first hash value equals the second hash value, generate a communication command; If the first hash value is not equal to the second hash value, an early warning instruction is generated.
[0050] Specifically, the verification packet contains the verification hash value obtained by the executing sub-device after acquiring the target sub-task, and this verification hash value is set as the second hash value. When the executing sub-device arrives at the device point corresponding to the target sub-task, it sends the verification packet via Bluetooth signal.
[0051] Specifically, the verification content in the local verification library of the associated monitoring structure is hashed to generate the first hash value.
[0052] Specifically, if the first hash value is not equal to the second hash value, it means that the currently executing sub-device is not the device point to be inspected corresponding to the target sub-task. An early warning instruction should be generated in time, the inspection strategy should be adjusted, and misoperation and data risk should be effectively prevented.
[0053] Specifically, the communication instructions include: Establish primary and secondary transmission channels; Multiple transmission time nodes are preset; Obtain device status data collected by the execution sub-device at the current transmission time node, and generate transmission data packets and backup data packets based on the device status data; The execution sub-device sends the data packets to the central control unit through the primary transmission channel; The execution sub-device sends the backup data packet to the associated monitoring structure through the secondary transmission channel; The associated monitoring structure collects inspection record data and generates inspection record packages; The associated monitoring structure sends inspection record packets and backup data packets to the central control unit through a secondary communication link; The central control unit determines whether to generate a correction command based on the inspection record packet and the backup data packet.
[0054] Specifically, based on the communication module built into the execution sub-device, a transmission channel is constructed between the execution sub-device and the central control unit, and this transmission channel is designated as the primary transmission channel. The primary communication link of the associated monitoring structure is designated as the secondary transmission channel.
[0055] Specifically, both the transmitted data packet and the backup data packet contain real-time status data of the power equipment collected by the execution sub-device, and the content is identical. The transmitted data packet is sent directly to the central control unit via the primary transmission channel. The backup data packet is sent to the storage space of the associated monitoring structure via the secondary transmission channel, and then, combined with the inspection record packets collected by the associated monitoring structure, is sent to the central control unit via the secondary communication link of the associated monitoring structure.
[0056] Specifically, the central control unit compares and analyzes the acquired transmission data packets and backup data packets to ensure data integrity.
[0057] Specifically, the inspection record package contains image data of the inspection personnel's operations during the inspection process, collected from the associated monitoring structure. By analyzing this data, the execution effect of the current inspection sub-task is determined, and whether there are any blind spots (i.e., areas that are not collected). If so, correction instructions (optimizing operation parameters) are generated in a timely manner and sent to the corresponding inspection personnel to ensure the efficiency of collecting power equipment status data.
[0058] Understandably, in the above embodiments, the inspection process undergoes multiple verifications. The monitoring substructure at each device point compares a first hash value generated by a verification library with a second hash value from the verification packet. Only when the hash values match can a communication channel be established, preventing unauthorized devices from accessing the network. Furthermore, by establishing a dual transmission mechanism, the central control unit compares data packets from different paths to provide timely warnings of data loss risks.
[0059] In another preferred embodiment of the task-cooperative infrared inspection and diagnosis method for power equipment based on any of the above preferred embodiments, this preferred embodiment provides a task-cooperative infrared inspection and diagnosis system for power equipment, comprising: The central control unit is used to set multiple equipment points according to the equipment parameters of the substation. The monitoring unit is used to establish a monitoring substructure for each device point, and the monitoring substructure is used to acquire feedback images from each device point. The inspection unit includes multiple inspection sub-devices, and the inspection unit is used to perform inspection sub-tasks. The central control unit includes: The first processing module is used to generate multiple inspection sub-tasks based on the preset risk assessment model and all feedback images; The second processing module is used to obtain monitoring data packets based on all inspection subtasks. The second processing module is also used to determine whether to generate a maintenance command based on the monitoring data packets.
[0060] Specifically, the monitoring submodule is preferably an online dual-spectrum PTZ camera, and the inspection sub-equipment is preferably a built-in device in a handheld thermal imager.
[0061] In a preferred embodiment of this application, the monitoring unit is further configured to: Establish a sequence of equipment points A, A=(a1,a2…ai…an), where ai is the i-th equipment point; n is the number of equipment points; Based on the equipment point sequence A, set ai as the target equipment point in sequence; The monitoring submodule for setting target monitoring points; Acquire the location data and device feature packet of the target device; Generate a local verification library for the target device points based on location data and device feature packets; Establish primary and secondary communication links for the target device. Establish a monitoring substructure for the target device points. The monitoring substructure includes: a monitoring submodule, a local verification library, a primary communication link, and a secondary communication link. Establish monitoring substructures for each equipment point in sequence.
[0062] In a preferred embodiment of this application, the first processing module is further configured to: Based on the equipment point sequence A, ai is sequentially set as the equipment point to be evaluated; Obtain feedback images of the equipment points to be evaluated based on preset feedback time nodes; Based on the feedback image and risk assessment model, generate the abnormal risk value b of the equipment point to be assessed; Preset abnormal risk threshold B1; If b > B1, generate an inspection subtask for the equipment points to be evaluated; Check each equipment point sequentially to see if an inspection sub-task has been generated; The sub-task for generating the inspection points of the equipment to be evaluated includes: Obtain the location parameters and local verification library of the equipment to be evaluated; Set the inspection path based on the location parameters; Generate a verification hash value based on the local verification library; Establish a data sub-database to store the feedback images obtained from the monitoring substructure of the equipment points to be evaluated; Generate inspection subtasks, which include: inspection path, hash value verification, and data sub-database.
[0063] Based on the first concept of this application, by optimizing the online monitoring device to construct a monitoring substructure for each equipment point, rapid early warning of abnormal equipment conditions can be achieved. Corresponding inspection sub-tasks can also be constructed to improve the allocation and deployment efficiency of inspection sub-devices (handheld inspection devices). Furthermore, by adding primary and secondary communication links, collaborative operation with the inspection sub-devices can be achieved, thereby improving overall inspection efficiency.
[0064] According to the second concept of this application, a data sub-database for each inspection sub-task is constructed, and the initial feedback images and the status data collected on site are stored synchronously to provide data support for subsequent root cause analysis of faults, optimization of diagnostic models and traceability of responsibility. By constructing a data transmission structure for each inspection sub-task, the risk of data loss and tampering is reduced.
[0065] The above description is only a preferred embodiment of this application. It should be noted that for those skilled in the art, several improvements and substitutions can be made without departing from the technical principles of this application, and these improvements and substitutions should also be considered within the scope of protection of this application.
Claims
1. A method for infrared inspection and diagnosis of power equipment based on task collaboration, characterized in that, include: Based on the equipment parameters of the substation, multiple equipment points are set up, and a monitoring substructure for each equipment point is established. Based on the monitoring substructure, feedback images of each equipment point are obtained, and multiple inspection sub-tasks are generated based on the preset risk assessment model and all feedback images. The monitoring data packets are obtained from all inspection sub-tasks, and the maintenance command is generated based on the monitoring data packets.
2. The infrared inspection and diagnosis method for power equipment based on task collaboration as described in claim 1, characterized in that, The establishment of the monitoring substructure for each device point includes: Establish a sequence of equipment points A, A=(a1,a2…ai…an), where ai is the i-th equipment point; n is the number of equipment points; Based on the equipment point sequence A, set ai as the target equipment point in sequence; The monitoring submodule for setting target monitoring points; Acquire the location data and device feature packet of the target device; Generate a local verification library for the target device points based on location data and device feature packets; Establish primary and secondary communication links for the target device. Establish a monitoring substructure for the target device point, the monitoring substructure including: a monitoring submodule, a local verification library, a primary communication link and a secondary communication link; Establish monitoring substructures for each equipment point in sequence.
3. The infrared inspection and diagnosis method for power equipment based on task collaboration as described in claim 2, characterized in that, The generation of multiple inspection subtasks includes: Based on the equipment point sequence A, ai is sequentially set as the equipment point to be evaluated; Obtain feedback images of the equipment points to be evaluated based on preset feedback time nodes; Based on the feedback image and risk assessment model, generate the abnormal risk value b of the equipment point to be assessed; Preset abnormal risk threshold B1; If b > B1, generate an inspection subtask for the equipment points to be evaluated; Check each device point sequentially to determine whether an inspection sub-task has been generated.
4. The infrared inspection and diagnosis method for power equipment based on task collaboration as described in claim 3, characterized in that, The sub-task for generating the inspection points of the equipment to be evaluated includes: Obtain the location parameters and local verification library of the equipment to be evaluated; Set the inspection path based on the location parameters; Generate a verification hash value based on the local verification library; Establish a data sub-database to store the feedback images obtained from the monitoring substructure of the equipment points to be evaluated; Generate an inspection subtask, which includes: inspection path, verification hash value, and data sub-database.
5. The infrared inspection and diagnosis method for power equipment based on task collaboration as described in claim 4, characterized in that, The step of obtaining monitoring data packets based on all inspection subtasks includes: Establish a sequence C of inspection subtasks; C = (c1, c2, ..., ci, ..., cm), where ci is the i-th inspection subtask; m is the number of inspection subtasks; Based on the inspection sub-task sequence C, ci are sequentially set as target sub-tasks; Set the equipment points to be inspected and the associated monitoring structure according to the target sub-tasks; Select the execution sub-device for the target sub-task based on the preset inspection equipment library; Configure the data transmission policy for the execution sub-device; According to the data transmission strategy, obtain the device status data collected by the execution sub-device; Store the device status data in the data sub-database corresponding to the target sub-task; The monitoring data package for the target sub-task is generated based on the device status data and feedback images in the data sub-database. The monitoring data packets for each inspection subtask are generated sequentially.
6. The infrared inspection and diagnosis method for power equipment based on task collaboration as described in claim 5, characterized in that, The data transmission strategy for the execution sub-device includes: When the execution sub-device arrives at the inspection equipment point, it sends a verification packet; The associated monitoring structure obtains verification packets through a primary communication link; The first hash value is generated based on the associated monitoring structure; Generate a second hash value based on the verification packet; If the first hash value equals the second hash value, generate a communication command; If the first hash value is not equal to the second hash value, an early warning instruction is generated.
7. The infrared inspection and diagnosis method for power equipment based on task collaboration as described in claim 6, characterized in that, The communication instructions include: Establish primary and secondary transmission channels; Multiple transmission time nodes are preset; Obtain device status data collected by the execution sub-device at the current transmission time node, and generate transmission data packets and backup data packets based on the device status data; The execution sub-device sends the data packets to the central control unit through the primary transmission channel; The execution sub-device sends the backup data packet to the associated monitoring structure through the secondary transmission channel; The associated monitoring structure collects inspection record data and generates inspection record packages; The associated monitoring structure sends inspection record packets and backup data packets to the central control unit through a secondary communication link; The central control unit determines whether to generate a correction command based on the inspection record packet and the backup data packet.
8. A task-cooperative infrared inspection and diagnosis system for power equipment, employing the task-cooperative infrared inspection and diagnosis method for power equipment as described in any one of claims 1-7, characterized in that, include: The central control unit is used to set multiple equipment points according to the equipment parameters of the substation. A monitoring unit is used to establish a monitoring substructure for each device point, and the monitoring substructure is used to acquire feedback images from each device point. The inspection unit includes multiple inspection sub-devices, and the inspection unit is used to perform inspection sub-tasks. The central control unit includes: The first processing module is used to generate multiple inspection sub-tasks based on the preset risk assessment model and all feedback images; The second processing module is used to obtain monitoring data packets based on all inspection subtasks. The second processing module is also used to determine whether to generate a maintenance command based on the monitoring data packet.
9. The infrared inspection and diagnostic system for power equipment based on task collaboration as described in claim 8, characterized in that, The monitoring unit is also used for: Establish a sequence of equipment points A, A=(a1,a2…ai…an), where ai is the i-th equipment point; n is the number of equipment points; Based on the equipment point sequence A, set ai as the target equipment point in sequence; The monitoring submodule for setting target monitoring points; Acquire the location data and device feature packet of the target device; Generate a local verification library for the target device points based on location data and device feature packets; Establish primary and secondary communication links for the target device. Establish a monitoring substructure for the target device point, the monitoring substructure including: a monitoring submodule, a local verification library, a primary communication link and a secondary communication link; Establish monitoring substructures for each equipment point in sequence.
10. The infrared inspection and diagnostic system for power equipment based on task collaboration as described in claim 9, characterized in that, The first processing module is also used for: Based on the equipment point sequence A, ai is sequentially set as the equipment point to be evaluated; Obtain feedback images of the equipment points to be evaluated based on preset feedback time nodes; Based on the feedback image and risk assessment model, generate the abnormal risk value b of the equipment point to be assessed; Preset abnormal risk threshold B1; If b > B1, generate an inspection subtask for the equipment points to be evaluated; Check each equipment point sequentially to see if an inspection sub-task has been generated; The sub-task for generating the inspection points of the equipment to be evaluated includes: Obtain the location parameters and local verification library of the equipment to be evaluated; Set the inspection path based on the location parameters; Generate a verification hash value based on the local verification library; Establish a data sub-database to store the feedback images obtained from the monitoring substructure of the equipment points to be evaluated; Generate an inspection subtask, which includes: inspection path, verification hash value, and data sub-database.