Interactive user electricity consumption abnormity monitoring and early warning management cloud platform based on cloud computing

Abstract

The invention discloses an interactive user electricity consumption abnormity monitoring and early warning management cloud platform based on cloud computing. The invention comprises a residential user number statistics module, a user historical age limit electricity consumption collection module, a user historical age limit average electricity consumption statistics module, a user current electricity consumption collection module, a current electricity consumption abnormality identification module, an abnormality early warning module, an abnormality fault analysis module and a fault display terminal. Current month ammeter metering data acquisition is carried out on each user, so that abnormity monitoring is carried out on the current month ammeter metering data of each user to obtain an abnormal electricity utilization user, abnormity early warning and abnormal fault analysis are carried out on the abnormal electricity utilization user, and an abnormal fault reason of each abnormal electricity utilization user is obtained. According to the invention, the defect that the function of the current user ammeter metering abnormality monitoring mode is single is overcome, the monitoring function of the user ammeter metering abnormality is expanded, and the current comprehensive intelligent monitoring requirement of the user ammeter metering abnormality is met.

Description

technical field [0001] The invention belongs to the technical field of abnormal electricity consumption management, and in particular relates to an interactive user electricity abnormality monitoring and early warning management cloud platform based on cloud computing. Background technique [0002] With the continuous development of society, users' demand for electricity continues to increase. In order to better perform user power supply tasks, my country's power supply companies conduct electricity consumption inspections on residential community users in daily electricity consumption, such as abnormal monitoring of user meter measurement. As we all know, the abnormal measurement of electric meters will cause waste of power resources, and then cause huge economic losses to power supply enterprises, and the abnormal monitoring of user electric meter measurement not only saves a lot of economic losses for power supply enterprises in terms of manpower and material resources, bu...

AI Technical Summary

Problems solved by technology

As we all know, the abnormal measurement of electric meters will cause waste of power resources, and then cause huge economic losses to power supply enterprises, and the abnormal monitoring of user electric meter measurement not only saves a lot of economic losses for power supply enterprises in terms of manpower and material resources, but also promotes the normal operation of power supply enterprises in our country. run

[0003] However, at present, the function of the abnormal monitoring method of the user's electric meter measurement is relatively single. It can only identify the abnormal measurement of the user's electric meter, and cannot analyze the cause of the abnormal measurement of the electric meter, so that it is impossible to know the cause of the abnormal measurement of the electric meter. Troubleshooting of abnormal metering results in low level of monitoring and low level of intelligence in the current user metering abnormality monitoring method, making it difficult to meet the current comprehensive intelligent monitoring needs for user metering abnormalities

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