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.
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[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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