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Intelligent substation secondary equipment defect elimination recommendation method based on decision tree

A technology of smart substations and secondary equipment, applied in the field of smart substations, can solve problems such as unevaluable workload, unpredictable time to eliminate defects, and dependence on staff, so as to save manpower, eliminate defects, and improve efficiency.

Pending Publication Date: 2021-05-28
扬州浩辰电力设计有限公司 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Existing solutions rely heavily on staff. The experience of staff is a key factor in determining whether faulty equipment can be found quickly, which leads to the inestimable workload of each person and the unpredictable time to eliminate defects.

Method used

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  • Intelligent substation secondary equipment defect elimination recommendation method based on decision tree
  • Intelligent substation secondary equipment defect elimination recommendation method based on decision tree
  • Intelligent substation secondary equipment defect elimination recommendation method based on decision tree

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Experimental program
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Embodiment Construction

[0028] The present invention is as Figure 1-3 shown, including the following steps:

[0029] S1: Summarize the relevant data when the equipment is abnormal in the past, and filter out the attributes with less mutual influence, which is used to illustrate how the decision tree helps to find the faulty equipment. The selected attributes are: check difficulty, distance from the next device (real-time calculation), whether to replace the tool (real-time calculation), failure rate, whether there has been a failure in the history, and organize this part of the information into a table.

[0030] Based on the 110kV line switch SF6 low pressure alarm signal loop fault screening, 800 records of 10 fault occurrence processing records are selected as follows:

[0031]

[0032] S2: Calculate the amount of information based on historical data;

[0033] The formula for calculating the amount of information is: Gain(A)=Info(D)-Info_A(D)

[0034] The meaning of the formula is to calcula...

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Abstract

The invention discloses an intelligent substation secondary equipment defect elimination recommendation method based on a decision tree. The invention provides the intelligent substation secondary equipment defect elimination recommendation method based on the decision tree, which improves the accuracy of troubleshooting the fault equipment by field staff and improves the working efficiency. The method includes the following steps: S1, summarizing related data of historical abnormality of equipment, and screening attributes; s2, calculating an information amount based on historical data; and S3, determining the equipment to be checked in the next step according to the information amount and the weight ratio. According to the method, in work, decision tree related technologies in deep learning are utilized to sort, classify and collect a large number of defect elimination methods needed to be used in a transformer substation, so that field staff can quickly find the corresponding defect elimination method in the decision tree according to a small amount of data which can be accurately obtained.

Description

technical field [0001] The invention relates to an intelligent substation, in particular to a recommendation method for eliminating the shortage of secondary equipment in an intelligent substation based on a decision tree. Background technique [0002] At present, when eliminating the shortage of secondary equipment in the substation, it completely relies on the experience of the staff. When an alarm signal comes in, first determine whether it is a primary equipment failure or a secondary equipment failure according to the alarm signal. If the initial judgment is a primary equipment failure, it does not belong to the scope of secondary equipment maintenance, and it is necessary to contact the manufacturer of the primary equipment to solve it together. If it is a secondary equipment alarm signal, first roughly locate the equipment cabinet where the defect is located, but it is impossible to determine whether the faulty equipment is upstream or downstream of the current equip...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/00G06Q50/06G06K9/62
CPCG06Q10/20G06Q50/06G06F18/24323
Inventor 杨晓楠倪汉青石慧王朝凯叶海孙应春居尚高逸云
Owner 扬州浩辰电力设计有限公司
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