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Collaborative optimization method and system suitable for power distribution room equipment fault judgment

A collaborative optimization and equipment failure technology, applied in electrical components, circuit devices, AC network circuits, etc., can solve the problems of low cost performance of detection methods, detection accuracy of old and fault-prone equipment, and heavy workload of inspection personnel. Improve processing efficiency, reduce manual inspection costs, and reduce maintenance costs

Pending Publication Date: 2020-12-04
上海交通大学烟台信息技术研究院
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  • Application Information

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Problems solved by technology

At present, there are mainly problems in live detection and diagnosis of power distribution room equipment, such as heavy workload of inspection personnel, low cost performance of detection methods, and low detection accuracy of old and fault-prone equipment.

Method used

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  • Collaborative optimization method and system suitable for power distribution room equipment fault judgment
  • Collaborative optimization method and system suitable for power distribution room equipment fault judgment
  • Collaborative optimization method and system suitable for power distribution room equipment fault judgment

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Effect test

Embodiment 1

[0035] refer to figure 1 and figure 2 , which is the first embodiment of the present invention, provides a collaborative optimization method suitable for fault judgment of power distribution room equipment, including:

[0036] S1: Use the collaborative edge strategy to identify and locate multiple partial discharge sources and abnormal sounds of equipment for the sensing terminals in the power distribution room. It should be noted that before performing identification and positioning, it also includes:

[0037] Collect the state quantity data of the sensing terminal in the power distribution room for normalization processing to form a sample data set;

[0038] Construct a deep learning model based on a deep convolutional network, input a sample data set for recognition training, and stop training until the output recognition result is consistent with the training sample label;

[0039] Use the trained deep learning model to perform fusion analysis on the state quantity;

...

Embodiment 2

[0087] refer to image 3, is the second embodiment of the present invention, which is different from the first embodiment in that it provides a collaborative optimization system suitable for fault judgment of equipment in a power distribution room, including:

[0088] The information collection module 100 is used to collect the real-time state quantity and historical state quantity of the operation of each equipment in the power distribution room, which includes a camera 101 and a sensor 102. The camera 101 is used to capture image information of each equipment, and the sensor 102 is used to perceive the operating state of the equipment. quantity data.

[0089] The data processing center module 200 is connected to the information collection module 100, and includes a calculation unit 201, a training unit 202, and an input and output unit 203. The calculation unit 201 is used to calculate and process the state quantity data transmitted by the information collection module 100, ...

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Abstract

The invention discloses a collaborative optimization method and system suitable for power distribution room equipment fault judgment. The collaborative optimization method comprises the steps of: carrying out identification and positioning of a plurality of local discharge sources and equipment abnormal sounds of a power distribution room sensing terminal through employing a collaborative edge strategy; preliminarily judging the equipment fault position of the power distribution room by combining an identification and positioning result; constructing an optimization model based on a multi-objective optimization strategy, and sequentially setting a collaborative optimization objective, a collaborative optimization variable and a collaborative optimization constraint condition; utilizing theoptimization model to calculate feasible solutions of the preliminary judgment result, and acquiring multiple groups of feasible solutions meeting the constraint conditions and comparing the feasiblesolutions; and selecting an optimal group of feasible solutions as an optimal solution for judging an optimization result to finish optimization. According to the collaborative optimization method and the system, based on integrated judgment of the fusion analysis result and the identification positioning result, preferred comparison calculation of a multi-objective optimization strategy is added, the accuracy of equipment fault judgment is greatly improved, the fault equipment processing efficiency is improved, and the maintenance cost is reduced.

Description

technical field [0001] The invention relates to the technical field of distribution network and Internet of Things information, in particular to a collaborative optimization method and system suitable for fault judgment of power distribution room equipment. Background technique [0002] In recent years, in order to solve the problems existing in the operation and inspection of power distribution rooms, online monitoring systems and inspection robots have been widely used. However, the existing online monitoring systems for power equipment are expensive and inconvenient for live installation and maintenance, making it difficult to apply them on a large scale; There are few items inspected by inspection robots (mainly visible light and infrared temperature measurement), and the functions mainly stay in the stage of data collection and simple threshold judgment, and the level of intelligence is low. [0003] Therefore, the working method to ensure the reliability of power suppl...

Claims

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Application Information

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IPC IPC(8): H02J3/00
CPCH02J3/001H02J2203/20
Inventor 许永鹏严英杰刘亚东盛戈皞江秀臣
Owner 上海交通大学烟台信息技术研究院
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