Intelligent electricity use data management method and system based on AMI and J2EE

Abstract

The invention discloses an intelligent electricity use data management method based on AMI and J2EE. The method comprises the following steps that according to different service requirements and configuration condition requirements of data to be collected, collection tasks are allocated; the collection tasks are executed, wherein collection instructions are automatically issued to a collection terminal or a measurement device according to the prepared collection tasks and the requirements, and various data of the collection terminal or the measurement device are obtained; the data are checked, wherein service rule checking, data completeness checking, data quality checking and checking about whether data results are correct or not are carried out on the collected data; the data are stored, wherein the data collected by the collection terminal or the measurement device are stored in a cache region and batch storage is carried out after the data reach a preset quantity. An intelligent electricity use data management system comprises a sensor, a serial server, a communication service circuit and the collection terminal. Under the condition that no hardware facility needs to be added, completeness of the data is achieved due to automatic or manual supplementary collection carried out through technological means.

Description

technical field [0001] The invention relates to the fields of electricity consumption data management, electricity consumption data collection, display and intelligent monitoring, specifically, an intelligent electricity consumption data management method and system based on AMI and J2EE. Background technique [0002] At present, the advanced measurement system AMI is widely used in the United States, and the most important one is the measurement data management system (MDMS). MDMS is a database with analysis tools, through the use of AMI automatic data mobile phone system to process and store the measurement value of the electric meter, and can interact with other information systems, such as electricity consumption information system, billing system, electric power website , Outage management system, power quality management and load forecasting system, mobile workgroup management, geographic information system, transformer load management system. [0003] One of the basi...

AI Technical Summary

Problems solved by technology

[0005] The existing collection system cannot meet the collection needs of different types of users and different types of energy sources, and lacks unified planning and unified standards. Often, one metering point needs to install several collection terminals to exchange data with the main station of their respective systems

This not only causes a great waste of resources such as manpower and material resources, but also increases the burden on metering equipment, affecting the accuracy of metering and the reliability of equipment.

[0006] For example, the intelligent collection system of user electricity information focuses on data collection, analysis and prediction, while weakening the functions of data inspection and data mining, so that the integrity and correctness of the data cannot be guaranteed

[0007] For this reason, a collection system that compensates for data integrity is designed, such as power consumption information collection with a backup concentrator, mainly through when the communication between the main concentrator and the main station fails and the power consumption data cannot be sent to the main station or When the communication between the main concentrator and the collector fails and the power consumption data cannot be collected in real time, start and switch to the backup concentrator, and the backup concentrator will continue to send the power consumption data from the main concentrator that has not yet been sent to the master station to The master station, and continue to collect the power consumption data collected by the collector and send it to the master station to reduce the defect of data integrity

However, this method is solved by adding hardware equipment, which will inevitably increase the input cost and increase the return period of investment benefits.

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