CN-121998341-A - Task cooperation-based infrared inspection diagnosis method and system for power equipment

CN121998341ACN 121998341 ACN121998341 ACN 121998341ACN-121998341-A

Abstract

The application relates to the technical field of power equipment state monitoring, in particular to a power equipment infrared inspection diagnosis method and system based on task cooperation. The method comprises the steps of setting a plurality of equipment points according to equipment parameters of a transformer substation, establishing a monitoring substructure of each equipment point, obtaining feedback images of each equipment point according to the monitoring substructure, generating a plurality of inspection subtasks according to a preset risk assessment model and all feedback images, obtaining a monitoring data packet according to all the inspection subtasks, and judging whether to generate an overhaul instruction according to the monitoring data packet. The monitoring substructure of each equipment point is built through optimizing the on-line monitoring device, the rapid early warning of the abnormal state of the equipment point is realized, the corresponding patrol subtask is built, the allocation and calling efficiency of the patrol subtask (handheld patrol device) is improved, and the cooperative operation with the patrol subtask is realized through additionally arranging a primary communication link and a secondary communication link. And the integral inspection efficiency is improved.

Inventors

LU SINAN
GAO CHAO
ZHANG XIAOLONG
SHI YINGCAI
RUAN YIXIAO
Liao Ruocen
ZHOU YANG
ZHANG YILIN

Assignees

国网重庆市电力公司超高压分公司

Dates

Publication Date: 20260508
Application Date: 20260126

Claims (10)

1. The power equipment infrared inspection diagnosis method based on task cooperation is characterized by comprising the following steps of: Setting a plurality of equipment points according to equipment parameters of a transformer substation, and establishing a monitoring substructure of each equipment point; Acquiring feedback images of all equipment points according to the monitoring substructure, and generating a plurality of inspection subtasks according to a preset risk assessment model and all feedback images; And acquiring a monitoring data packet according to all the inspection subtasks, and judging whether to generate an inspection instruction according to the monitoring data packet.
2. The task collaboration-based power equipment infrared inspection diagnosis method as claimed in claim 1, wherein the establishing a monitoring substructure of each equipment point comprises: a device point array a is established, a= (a 1, a2.. ai...an), wherein ai is the i-th device point; n is the number of the equipment points; Sequentially setting ai as a target equipment point according to the equipment point array A; a monitoring sub-module for setting target monitoring points; Acquiring position data and an equipment feature packet of a target equipment point; Generating a local verification library of the target equipment point according to the position data and the equipment feature package; constructing a primary communication link and a secondary communication link of a target equipment point; The method comprises the steps of establishing a monitoring substructure of a target equipment point, wherein the monitoring substructure comprises a monitoring sub-module, a local verification library, a primary communication link and a secondary communication link; and sequentially establishing a monitoring substructure of each equipment point.
3. The task collaboration-based power equipment infrared inspection diagnostic method as claimed in claim 2, wherein the generating a plurality of inspection subtasks comprises: Sequentially setting ai as equipment points to be evaluated according to the equipment point array A; acquiring a feedback image of the equipment point to be evaluated according to a preset feedback time node; generating an abnormal risk value b of the equipment point to be evaluated according to the feedback image and the risk evaluation model; Presetting an abnormal risk value threshold B1; if B > B1, generating a patrol subtask of the equipment point to be evaluated; and judging whether each equipment point generates a patrol subtask or not in sequence.
4. The task collaboration-based power equipment infrared inspection diagnosis method as claimed in claim 3, wherein the generating the inspection subtask of the equipment point to be evaluated comprises: Acquiring position parameters of equipment points to be evaluated and a local verification library; Setting a routing inspection path according to the position parameters; Generating a verification hash value according to the local verification library; establishing a database, and storing feedback images acquired by a monitoring substructure of the equipment points to be evaluated into the database; and generating a patrol subtask, wherein the patrol subtask comprises a patrol path, a verification hash value and a database.
5. The method for diagnosing an infrared patrol of a power plant based on task coordination as recited in claim 4, wherein the step of acquiring the monitoring data packet according to all patrol subtasks comprises: establishing a patrol subtask sequence C; c= (C1, c2... ci...cm), wherein, the the ci is the ith patrol subtask; m is the number of patrol subtasks; Sequentially setting ci as a target subtask according to the patrol subtask sequence C; setting equipment points to be inspected and an associated monitoring structure according to the target subtasks; Selecting an execution sub-device of a target sub-task according to a preset inspection device library; setting a data transmission strategy of the execution sub-equipment; acquiring device state data acquired by an executing sub device according to a data transmission strategy; storing the equipment state data to a database corresponding to the target subtask; generating a monitoring data packet of the target subtask according to the equipment state data and the feedback image in the database; and sequentially generating monitoring data packets of all the patrol subtasks.
6. The task collaboration-based power equipment infrared inspection diagnosis method as claimed in claim 5, wherein the setting the data transmission policy of the execution sub-equipment comprises: when the execution sub-equipment reaches the inspection equipment point, sending a verification packet; the association monitoring structure acquires a verification packet through a primary communication link; Generating a first hash value according to the association monitoring structure; a second hash value is verified Bao Shengcheng in accordance with the verification; if the first hash value is equal to the second hash value, generating a communication instruction; if the first hash value is not equal to the second hash value, generating an early warning instruction.
7. The task orchestration-based power device infrared patrol diagnostic method according to claim 6, wherein the communication instructions comprise: A first-stage transmission channel and a second-stage transmission channel are built; presetting a plurality of transmission time nodes; Acquiring equipment state data acquired by an execution sub-equipment at a current transmission time node, and generating a transmission data packet and a standby data packet according to the equipment state data; the execution sub-equipment sends the transmission data packet to the central control unit through a primary transmission channel; The execution sub-equipment sends the standby data packet to the association monitoring structure through a secondary transmission channel; the association monitoring structure collects the inspection record data and generates an inspection record packet; the association monitoring structure sends the inspection record packet and the standby data packet to the central control unit through a secondary communication link; and the central control unit judges whether to generate a correction instruction according to the inspection record packet and the standby data packet.
8. An infrared inspection diagnosis system for power equipment based on task cooperation, which adopts the infrared inspection diagnosis method for power equipment based on task cooperation as set forth in any one of claims 1-7, and is characterized by comprising the following steps: The central control unit is used for setting a plurality of equipment points according to the equipment parameters of the transformer substation; The monitoring unit is used for establishing a monitoring substructure of each equipment point, and the monitoring substructure is used for acquiring feedback images of each equipment point; the inspection unit comprises a plurality of inspection sub-devices and is used for executing inspection sub-tasks; the central control unit comprises: The first processing module is used for generating a plurality of patrol subtasks according to a preset risk assessment model and all feedback images; The second processing module is used for acquiring the monitoring data packet according to all the inspection subtasks The second processing module is also used for judging whether to generate an overhaul instruction according to the monitoring data packet.
9. The task orchestration-based power device infrared patrol diagnostic system according to claim 8, wherein the monitoring unit is further configured to: a device point array a is established, a= (a 1, a2.. ai...an), wherein ai is the i-th device point; n is the number of the equipment points; Sequentially setting ai as a target equipment point according to the equipment point array A; a monitoring sub-module for setting target monitoring points; Acquiring position data and an equipment feature packet of a target equipment point; Generating a local verification library of the target equipment point according to the position data and the equipment feature package; constructing a primary communication link and a secondary communication link of a target equipment point; The method comprises the steps of establishing a monitoring substructure of a target equipment point, wherein the monitoring substructure comprises a monitoring sub-module, a local verification library, a primary communication link and a secondary communication link; and sequentially establishing a monitoring substructure of each equipment point.
10. The task orchestration-based power device infrared patrol diagnostic system according to claim 9, wherein the first processing module is further configured to: Sequentially setting ai as equipment points to be evaluated according to the equipment point array A; acquiring a feedback image of the equipment point to be evaluated according to a preset feedback time node; generating an abnormal risk value b of the equipment point to be evaluated according to the feedback image and the risk evaluation model; Presetting an abnormal risk value threshold B1; if B > B1, generating a patrol subtask of the equipment point to be evaluated; Sequentially judging whether each equipment point generates a patrol subtask; the method for generating the patrol subtask of the equipment point to be evaluated comprises the following steps: Acquiring position parameters of equipment points to be evaluated and a local verification library; Setting a routing inspection path according to the position parameters; Generating a verification hash value according to the local verification library; establishing a database, and storing feedback images acquired by a monitoring substructure of the equipment points to be evaluated into the database; and generating a patrol subtask, wherein the patrol subtask comprises a patrol path, a verification hash value and a database.

Description

Task cooperation-based infrared inspection diagnosis method and system for power equipment Technical Field The application relates to the technical field of power equipment state monitoring, in particular to a power equipment infrared inspection diagnosis method and system based on task cooperation. Background Infrared thermal imaging technology is an important means of live detection of electrical equipment, and thermal defects are found by detecting the surface temperature distribution of the equipment. The existing application modes mainly comprise that a fixed online thermal infrared imager is arranged on key equipment in a transformer substation for continuous monitoring, and operation and maintenance personnel use the handheld thermal infrared imager to periodically go to the site for inspection. The process depends on manual experience, lacks unified standard, and is independent of the fixed on-line monitoring and the mobile handheld inspection, and cannot be linked. After the online system finds out abnormality, the handheld device cannot be automatically and rapidly guided to conduct targeted rechecking, and a closed-loop mechanism of 'monitoring-early warning-rechecking' is lacked. The map naming and management are dependent on manual work, are easy to make mistakes, and are difficult to form an effective and traceable equipment state file. Disclosure of Invention The application aims to solve the technical problems, provides an infrared inspection diagnosis method and system for power equipment based on task cooperation, and aims to improve the infrared inspection diagnosis efficiency of the power equipment. In some embodiments of the application, a monitoring substructure of each equipment point is built by optimizing an online monitoring device, so that the abnormal state of the equipment point is quickly pre-warned, a corresponding patrol subtask is built, the allocation and calling efficiency of patrol subtotal (handheld patrol device) is improved, and the collaborative operation with the patrol subtotal is realized by additionally arranging a primary communication link and a secondary communication link. And the integral inspection efficiency is improved. In some embodiments of the application, a database of each inspection subtask is constructed, the initial feedback image and the on-site acquired state data are synchronously stored, data support is provided for subsequent fault root cause analysis, diagnosis model optimization and responsibility tracing, and the data loss and tampering risks are reduced by constructing a data transmission structure of each inspection subtask. In some embodiments of the present application, an infrared inspection diagnosis method for power equipment based on task coordination is provided, which is characterized in that the method includes: Setting a plurality of equipment points according to equipment parameters of a transformer substation, and establishing a monitoring substructure of each equipment point; Acquiring feedback images of all equipment points according to the monitoring substructure, and generating a plurality of inspection subtasks according to a preset risk assessment model and all feedback images; And acquiring a monitoring data packet according to all the inspection subtasks, and judging whether to generate an inspection instruction according to the monitoring data packet. In some embodiments of the present application, the establishing a monitoring substructure of each device point includes: a device point array a is established, a= (a 1, a2.. ai...an), wherein ai is the i-th device point; n is the number of the equipment points; Sequentially setting ai as a target equipment point according to the equipment point array A; a monitoring sub-module for setting target monitoring points; Acquiring position data and an equipment feature packet of a target equipment point; Generating a local verification library of the target equipment point according to the position data and the equipment feature package; constructing a primary communication link and a secondary communication link of a target equipment point; The method comprises the steps of establishing a monitoring substructure of a target equipment point, wherein the monitoring substructure comprises a monitoring sub-module, a local verification library, a primary communication link and a secondary communication link; and sequentially establishing a monitoring substructure of each equipment point. In some embodiments of the present application, the generating a plurality of inspection sub-tasks includes: Sequentially setting ai as equipment points to be evaluated according to the equipment point array A; acquiring a feedback image of the equipment point to be evaluated according to a preset feedback time node; generating an abnormal risk value b of the equipment point to be evaluated according to the feedback image and the risk evaluation model; Presetting an abnormal risk value threshold B