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Indoor hemp planting residential user identification method based on electric power frequency distribution relative entropy

A technology of frequency distribution and user identification, applied in the field of detection of abnormal power consumption of power grid users, can solve problems such as large impact and harm, hidden operating environment, and difficulty in detection, and achieve the effect of narrowing the scope of attack

Active Publication Date: 2021-05-07
CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

According to incomplete statistics, more than a dozen provinces in the coastal and central regions of my country have reported cases of indoor cultivation of marijuana, and some have even formed an industrial chain of cultivation, transportation, and sales, which has a huge impact and harm
In order to avoid people's eyes and ears, indoor cultivation of marijuana is more common in rental houses, abandoned factories, suburban villas, rough houses and other vacant residential buildings in the suburbs and urban villages. The working environment is hidden and difficult to find under normal circumstances.

Method used

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  • Indoor hemp planting residential user identification method based on electric power frequency distribution relative entropy
  • Indoor hemp planting residential user identification method based on electric power frequency distribution relative entropy
  • Indoor hemp planting residential user identification method based on electric power frequency distribution relative entropy

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Experimental program
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Embodiment 1

[0045] Build 4m according to the above method 2 Simulate cannabis planting greenhouses and conduct experiments to obtain time-domain data of electricity consumption for 30 days in suitable spring and summer high temperature environments respectively. Please refer to Figure 4 , the general performance of the spring and summer power consumption patterns in the frequency domain: 1) In spring, there are only four start-stop combinations corresponding to the switching of the plant fill light and the fan switch (the four lights are generally turned on or off at the same time, as a device ). Due to the small power of the fan, when the supplementary light is turned on and whether the fan is switched on or off, the corresponding power consumption falls in the same interval of the frequency histogram, while other states fall in different intervals; There are 8 start-stop combinations for the three devices of the fill light. Affected by the different start and stop durations of the a...

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Abstract

An indoor hemp planting resident user identification method based on electricity consumption power frequency distribution relative entropy. The method comprises the steps: acquiring one-month electricity consumption data for simulating hemp planting through an experiment, converting the electricity consumption data into an electricity consumption power frequency distribution curve, the electricity consumption power frequency distribution curve being a calculation benchmark; then acquiring one-month electricity consumption data of the residential users in the data set, and converting the electricity consumption data into an electricity consumption power frequency distribution curve; and calculating the relative entropy between the frequency distribution of the measured resident users and the benchmark, setting a threshold value by using a box plot, and when the relative entropy of the measured users is smaller than the threshold value, obtaining the electricity consumption sequence of the users, calculating the daily maximum load variation coefficient of the users, and further judging whether the users are marihuana growers or not. According to the method, the residential users with abnormal electricity consumption conditions can be positioned and found, targeted inspection is carried out in time, and the striking range is narrowed.

Description

technical field [0001] The invention belongs to the field of detection of abnormal power consumption of power grid users, and relates to the detection of abnormal power consumption of indoor marijuana planting resident users, in particular to a method for identifying indoor marijuana planting resident users based on the relative entropy of power frequency distribution. Background technique [0002] Marijuana is mainly produced in warm regions or tropical regions. It is an annual herb and is the original drug plant that is banned in China. Cannabis leaves, bracts and flowers contain a compound called tetrahydrocannabinol, which can easily lead to addiction after inhalation. Long-term smoking of marijuana can destroy a person's body and will. Affected by the legalization of marijuana in European and American countries, in recent years, there have been frequent illegal indoor cultivation of marijuana in my country, which has become a new trend in drug crimes and seriously endan...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20G06F17/18G06Q50/06
CPCG06F30/20G06F17/18G06Q50/06
Inventor 苏盛毛源军殷涛张傲刘康郑应俊翟中祥李文松赖志强
Owner CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY