Energy consumption data processing method, cloud server and energy consumption data processing system

Abstract

The invention relates to an energy consumption data processing method, the method is applied to a cloud server, and the method comprises the following steps: the cloud server receives energy consumption data sent by an intelligent device; the cloud server judges whether the received energy consumption data is the same as the last energy consumption data value or not; if the received energy consumption data value is the same as the energy consumption data value received last time, the energy consumption data value received this time is used as repeated data to be filtered, and subsequent processing is not needed; if the received energy consumption data value is different from the energy consumption data value received last time, calculating energy consumption data in unit time; and applying the calculated energy consumption data in the unit time to energy consumption statistics. By calculating the energy consumption data in the unit time, errors in the energy consumption statistical process are avoided, and the calculated energy consumption data are more accurate and more practical.

Description

technical field [0001] The invention belongs to the field of system processing, and in particular relates to a method for processing energy consumption data, a cloud server, and a system for processing energy consumption data. Background technique [0002] Smart devices generally report changes or report energy consumption at a fixed frequency or both, with an accuracy of 0.001kwt. If there is a change report, it needs to be reported every time the device consumes 0.001, and the power of the device is very small, and the interval between each change is more than a few hours; if it is reported at a fixed frequency, the reported energy consumption naturally has many repetitions, but all The change of energy consumption cannot be counted according to natural time. Therefore, the statistics currently used are the statistics of discrete points at the reported time point, thus giving a curve formed by discrete points. [0003] The existing offline point curve statistics cannot me...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the problem in the prior art that the energy consumption statistics reported by smart devices do not match the actual situation, and propose a new energy consumption data processing method, cloud server, and energy consumption data processing system

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