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Power consumption behavior anomaly detection and public security risk early warning method and device

A technology of risk early warning and anomaly detection, applied in the information field, can solve problems such as low efficiency of anomaly detection

Active Publication Date: 2016-10-12
CHINA ACADEMY OF ELECTRONICS & INFORMATION TECH OF CETC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The technical problem to be solved by the present invention is to provide a method and device for abnormal detection of electricity consumption behavior and early warning of public security risks, which overcomes the defect of low efficiency in the detection of abnormal electricity behavior based on personnel in the prior art, and realizes the detection of abnormal electricity behavior through a big data analysis framework. Automatically judge abnormal power consumption behavior

Method used

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  • Power consumption behavior anomaly detection and public security risk early warning method and device
  • Power consumption behavior anomaly detection and public security risk early warning method and device
  • Power consumption behavior anomaly detection and public security risk early warning method and device

Examples

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no. 1 example

[0113] The first embodiment of the present invention is a method for abnormal detection of electricity usage behavior and early warning of public security risks, such as figure 1 shown, including the following specific steps:

[0114] Step S101, read the data items from the user profile database and the power operation database, save the data items in the intermediate database, and store the data items in the intermediate database in the Hbase distributed database after format conversion.

[0115] Specifically, step S101 includes:

[0116] Step A1, read data items from the user profile database and the power operation database.

[0117] Specifically, step A1 includes:

[0118] The data items include: user profile data items and operation data data items.

[0119] The user profile data items read from the user profile database include: the number Measure_id of the collection terminal, the collection time Date, the user registration name User_name, the user meter number User_...

no. 2 example

[0208] The second embodiment of the present invention is a method for abnormal detection of electricity consumption behavior and public security risk warning method. The method described in this embodiment is roughly the same as that of the first embodiment, the difference is that figure 2 As shown, the method in this embodiment also includes the following specific steps:

[0209] Step S104, combining the alarm information of the abnormal electricity consumption behavior with the GIS (Geographic Information System, Geographic Information System), and displaying the location of the electricity meter for the alarm of the abnormal electricity consumption behavior on the GIS map.

[0210] Based on the mapping relationship between the alarm information of the abnormal power consumption behavior and the data item, the address User_address of the electric meter of the user that alarmed the abnormal power consumption behavior can be obtained. Display the address User_address of the u...

no. 3 example

[0214] The third embodiment of the present invention corresponds to the first embodiment. This embodiment introduces a device for abnormal detection of electricity consumption behavior and public security risk warning device, such as image 3 shown, including the following components:

[0215] The storage module 100 is configured to read data items from the user profile database and the power operation database, save the data items to the intermediate database, and store the data items in the intermediate database to the distributed database after format conversion.

[0216] Specifically, the storage module includes:

[0217] The reading module 101 is used to read the user profile data items from the user profile database including: the serial number of the collection terminal, the collection time, the registered name of the user, the number of the user's electric meter and the address of the user's electric meter; read the operation data from the electric power operation data...

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Abstract

The invention provides a power consumption behavior anomaly detection and public security risk early warning method and device. The method comprises the following steps: reading data items from a user archives database and a power operation database, storing the data items to a middle database, and storing the data in the middle database to a distributed database after format conversion; carrying out power consumption feature extraction on the data items in the distributed database; and carrying out screening on the data items according to the power consumption features to obtain data items to be detected, and carrying out power consumption behavior anomaly detection on the data items to be detected. Through real-time monitoring of the power consumption data, control of suspects is realized, automatic identification of abnormal power consumption behaviors and automatic early warning of dangerous signs are realized, automatic identification of abnormal power consumption behaviors based on a big data analysis framework is realized, and public security monitoring and early warning capacity is improved.

Description

technical field [0001] The invention relates to the field of information technology, in particular to a method and device for abnormal detection of electricity consumption behavior and early warning of public security risks. Background technique [0002] Today, as the degree of social modernization continues to deepen, electricity, as the main secondary energy source, has become an indispensable key element in daily production and life. Electricity big data is generated in the process of electric power production and use, and the source of data involves various links in the process of electric power production and electric energy use, such as power generation, transmission, transformation, power distribution, power consumption, and dispatching. [0003] Power big data has the general characteristics of big data, and has the following five characteristics: large data volume; multiple data types; fast processing; high data accuracy; high data value. The mining and analysis of...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/06
CPCG06Q10/0635G06Q50/06Y02P90/82
Inventor 敖乃翔石立新王德勇顾洪健师文喜郭静焦栋徐心毅
Owner CHINA ACADEMY OF ELECTRONICS & INFORMATION TECH OF CETC
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