Secondary research and judgment method of electricity consumption information collection data based on risk management and control of electricity charges

Abstract

The invention belongs to the application field of analysis and processing of electricity consumption data, and relates to a method for secondary analysis and judgment of electricity consumption information collection data based on the risk management and control of electricity charge out. It includes the following steps: S1: the acquisition system obtains the user's electricity consumption information; S2: the marketing system conducts a research and judgment based on the above user's electricity consumption information, and the first research and judgment refers to judging whether it meets the CMS billing rules; ; If not, go to S3; S3: Combining with the user's historical electricity consumption data, carry out data preparation, data cleaning, data prediction, data discrimination, and conduct secondary research and judgment; S4: If the rules of the secondary research and judgment are met, the marketing system will directly issue the account ; If it does not match, an instruction will be issued to perform manual meter reading. The results of the invention are accurate and the risks are controllable, and the available user electricity information can be fully used to collect data remotely, fully tap the value of data, improve the rate of automatic electricity billing, greatly reduce the workload of manual on-site meter reading, and support power grid companies to "improve quality and increase efficiency" "Work requirements.

Description

technical field [0001] The invention belongs to the application field of electricity consumption data analysis and processing, and particularly relates to a secondary research and judgment method for electricity consumption information collection data based on the risk management and control of electricity billing. Background technique [0002] In recent years, the management of electricity bill collection and billing business of State Grid Corporation of China is developing in the direction of intensification, standardization and digitization. Improving the intelligence of meter reading business and the success rate of collection and billing has always been an important part of realizing the intelligence and marketing intelligence of the State Grid. In the existing marketing model, in the meter reading and accounting business, the data of the established power user electricity information collection system is preferentially used to implement automatic meter reading. Howeve...

AI Technical Summary

Problems solved by technology

As of January 2020, according to statistics from the marketing department of the company, there are about 100,000 electricity meters per month in the small and medium-sized user billing business. The collection is successful but the billing fails. The main reason is that effective and accurate data screening cannot be carried out.

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