High-real-time data updating method applied to electricity utilization acquisition system

Abstract

The invention discloses a high-real-time data updating method applied to a power utilization acquisition system. The method comprises the following steps that (1) a power utilization acquisition system master station issues an updating strategy to acquisition equipment; (2) data are obtained from the acquisition target by the acquisition equipment according to the issued updating strategy, and the data are reported to the power utilization acquisition system master station; and (3) the graphical interface software generates a dynamic indicating value, a curve and statistical data according to the obtained data, and carries out alarm notification on abnormal data according to an algorithm. According to the method, resources can be reasonably allocated, resource waste is reduced, and data updating efficiency is improved to a great extent.

Description

technical field [0001] The invention relates to the technical field of data transmission, in particular to a high-real-time data update method applied to a power collection system. Background technique [0002] In the prior art, the real-time data acquisition in the power consumption collection system is mainly through the following two methods: ①Periodic reporting: the master station of the power consumption collection system is set according to the total amount of equipment collection tasks and the collection efficiency of the equipment itself after evaluation. A collection period as short as possible (5 to 15 minutes), actively query or order the terminal to report data periodically; ② relay communication: the collection device acts as a relay, and the master station directly communicates with the target device to obtain data. [0003] If the above two methods are applied to the dynamic visualization of data or the statistical calculation of special services, there are so...

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Problems solved by technology

[0003] If the above two methods are applied to the dynamic visualization of data or the statistical calculation of special services, there are some unavoidable defects: in method ①, the update frequency of data is too low, and it is difficult to support some real-time data requirements. Business functions; in order to improve the data update frequency, a large amount of resources of the acquisition equipment are occupied, and the resource space of the equipment for other business functions is compressed; the relevant parameters are fixed values ​​and cannot be adjusted according to the real-time needs of the system; in method ②, due to The master station does not have the ability to collect data in parallel (such as parallel channels and frequency bands), which limits the efficiency of data collection; since the entire process is dominated by the master station, considering that a master station manages a large number of acquisition devices, this method will take up a lot of time. master resource

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