A usage-based intelligent recommendation method for power system insulation tools

A technology of power system and insulation tools, applied in the field of intelligent recommendation of power system insulation tools, can solve problems such as incomplete single indicators, multiple indicators out of practical significance, improper handling, etc.

Active Publication Date: 2021-03-16
四川智库慧通电力科技有限公司
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AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide an intelligent recommendation method for power system insulation tools based on usage conditions, so as to solve the problems in the existing methods that the single index is not comprehensive, the multi-index is out of practical meaning or improperly handled, and the problem that the tool use efficiency cannot be accurately described

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  • A usage-based intelligent recommendation method for power system insulation tools
  • A usage-based intelligent recommendation method for power system insulation tools
  • A usage-based intelligent recommendation method for power system insulation tools

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Embodiment Construction

[0046] The present invention will be further described below with reference to the accompanying drawings and examples, and the embodiments of the present invention include but not limited to the following examples.

[0047] Such as figure 1 As shown, the present invention extracts a comprehensive score completely driven by data from each index with practical significance, and is used for recommending tools, including the following steps:

[0048] Step 1. Determine the tool recommendation index; the present invention has determined three indicators to describe the use intensity of each tool in similar tools, these three indicators are respectively: storage time=current time-tool storage time, unit is hour; Number of times of use = the number of times the tool has been used accumulatively within the storage time, in units of times; attendance time = the sum of the time the tool has been loaned out within the storage time, in hours. In addition to these three indicators for meas...

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Abstract

The invention discloses an intelligent recommendation method for power system insulation tools based on usage conditions, which mainly solves the problems in the prior art that the single index is not comprehensive, the multiple indexes are out of practical meaning or improperly handled, and cannot accurately describe the tool use efficiency The problem. The usage-based intelligent recommendation method for power system insulation tools includes determining the tool recommendation index; constructing an algorithm input matrix according to the index; obtaining data; preprocessing the first three rows of data; processing with pca algorithm to obtain corresponding eigenvalues ​​and Feature vector; select the recommendation strategy according to the size of the feature value. Through the above scheme, the present invention achieves a comprehensive multi-selection tool, which has high practical value and popularization value.

Description

technical field [0001] The invention relates to the technical field of insulation tool recommendation, in particular to an intelligent recommendation method for power system insulation tools based on usage conditions. Background technique [0002] The insulation performance of insulating tools will be lost due to storage and use. When the insulation performance of insulating tools drops to a certain level and can no longer guarantee the safety of workers, it will be abolished. In general power warehouses, the use of tools On the one hand, a tool may be scrapped prematurely because it is used too frequently; on the other hand, a tool may be underused because it is used too infrequently. Long-term loss of insulation performance and scrapped. Therefore, for each tool required for operation, how to recommend which tool to use for the operator according to the principle of overall optimal tool use efficiency has become a difficult problem to be solved. [0003] In the existing ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/2457G06F16/22G06K9/62G06Q50/06
CPCG06F16/2237G06F16/24578G06Q50/06G06F18/2135
Inventor 文宗烽郑刚刘斌王敏
Owner 四川智库慧通电力科技有限公司
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