Task Parallel Processing Method of Electricity Information Acquisition System

Abstract

The invention discloses a task parallel processing method for an electricity utilization information collection system. Distributed collection communication units are established, parallel collection threads of the collection communication units are correspondingly distributed on terminals of various cities to execute collection tasks, and collected tasks are decomposed according to different types of the terminals; operating states of all the collection threads of current collection communication units are inquired through management of the threads, and when vacant collection threads exist, tasks needing to be executed in a task queue are fetched; parallel processing is carried out on the collection tasks of the cities; data items collected through multiple collection threads are stored at the same time, and the threads are partitioned through a data caching area and are simultaneously read and written. Through the distributed parallel processing method, timeliness of task data of different users is guaranteed, and execution efficiency of the collection system is improved.

Description

technical field [0001] The invention relates to a task parallel processing method of an electricity consumption information collection system, which belongs to the technical field of computer systems. Background technique [0002] The parallel mechanism is an important part of the electricity consumption information collection system platform, which enables the delivery of different user tasks and the collection and storage of data items to be executed quickly and efficiently. [0003] In order to meet the task requirements of a large number of different users' electricity consumption information, the parallel system should have considerable availability and adaptability. Not only need to provide normal task scheduling, but also need to provide task division; in addition, in order to meet higher execution efficiency, the parallel system also needs to have certain self-adaptive functions. [0004] At present, some information collection systems provide task parallel function...

AI Technical Summary

Problems solved by technology

[0004] At present, some information collection systems provide task parallel functions, but their parallel functions are too single, and the corresponding relationship between tasks and threads is relatively fixed, so that the utilization rate of threads will be poor, which will lead to task execution efficiency. Not high, so that data items cannot be collected and stored in a timely manner, affecting the development of time-sensitive businesses such as meter reading and electricity bills in the marketing department, and it is also accompanied by a reduction in QOS

Images