Electricity consumption information acquisition data secondary research and judgment method based on electricity charge polling risk management and control

Abstract

The invention belongs to the field of power utilization data analysis and processing application, and relates to a power utilization information acquisition data secondary research and judgment method based on electric charge polling risk management and control. The method includes the following steps that S1, an acquisition system acquires electricity utilization information of a user; s2, the marketing system carries out primary research and judgment according to the electricity consumption information of the user, and the primary research and judgment refers to judgment whether the electricity consumption information accords with a CMS (Content Management System) polling rule or not; if yes, directly entering an item of expenditure in the accounts; if not, performing S3; s3, carrying out data preparation, data cleaning, data prediction and data discrimination in combination with historical power consumption data of the user, and carrying out secondary research and judgment; s4, if the secondary research and judgment rule is in accordance, enabling the marketing system directly enters an item of expenditure in the accounts; if not, sending out an instruction for manual meter reading. According to the method, the result is accurate, the risk is controllable, available user electricity utilization information is fully utilized to remotely collect data, the data value is fully mined, the automatic electricity charge output rate is improved, the manual field meter reading workload is greatly reduced, and the working requirement of quality improvement and efficiency improvement of a power grid company is met.

Description

technical field [0001] The invention belongs to the application field of analysis and processing of electricity consumption data, and in particular relates to a method for secondary research and judgment of electricity consumption information collection data based on the risk management and control of electricity charge out. Background technique [0002] In recent years, the management of State Grid Corporation's electricity bill collection and accounting business is developing in the direction of intensification, standardization, and digitization. Improving the intelligence of the meter reading business and the success rate of collection and payment has also been an important part of realizing the intelligence of the State Grid and marketing intelligence. In the current marketing mode, in the meter reading and accounting business link, the data of the completed power user electricity information collection system are given priority to implement automatic meter reading. How...

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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