Equipment state real-time monitoring method and system based on distributed scheduling task

Abstract

The invention provides an equipment state real-time monitoring method and system based on a distributed scheduling task. The method comprises the steps that monitoring information of a key fault partof equipment is received and the monitoring information is transmitted to a real-time database; the scheduling center realizes task allocation and scheduling, the job actuators are distributed in different machines, and the scheduling center allocates tasks and execution time executed by the job actuators on each machine according to a configured task allocation strategy; the actuator obtains dataneeded by equipment monitoring through the real-time database, then processes the data and calculates the current running state of the equipment. According to the invention, the concurrency rate of the scheduled tasks is improved by scheduling the timed tasks and splitting the scheduled tasks into the scheduling center and the executor, the execution efficiency of timed scheduling is improved, itis ensured that the state of the equipment can be monitored in real time, state change detection of the equipment is accurate to the second level, and the real-time performance and accuracy of equipment monitoring are further improved.

Description

technical field [0001] The present disclosure relates to the technical field of real-time monitoring of equipment, in particular to a method and system for real-time monitoring of equipment status based on distributed scheduling tasks. Background technique [0002] In order to monitor the working or running status of the equipment in time, the targeted equipment is the power plant operating equipment that has been added with monitoring points. There are no special requirements for the device itself, only the corresponding status sensor needs to be added to the device. [0003] The inventor found in the research that the general method of the existing equipment monitoring system to monitor the equipment state is to directly process the business logic through the timed task, and the business logic and the timed task scheduler are coupled together. As a result, with the expansion of business in the later period, the pressure on the entire task scheduler continued to increase, ...

AI Technical Summary

Problems solved by technology

As a result, with the expansion of business in the later stage, the pressure on the entire task scheduler continues to increase, so that the task cannot be completed within the expected time, which eventually leads to the collapse of the entire equipment monitoring system

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