Intelligent equipment data acquisition method

Abstract

The invention discloses an intelligent equipment data acquisition method. The method comprises the following steps: S1, performing weight configuration on each measuring point needing acquisition according to a user attention degree, and storing weights into a database; S2, setting association rules for the measuring points, and storing the rules in the database; S3, sequencing the weights of the measuring points according to a priority algorithm, and starting acquiring data from an intelligent device according to a measuring point with the maximum weight; and S4, determining whether data acquisition succeeds, in case of success, analyzing returned data, performing matching on the association rules in the database so as to determine whether to dynamically change the weights of the corresponding measuring points, and in case of failure, continuously acquiring the data from the intelligent device according to a measuring point with a next larger weight. According to the invention, the acquisition speed and the efficiency of user attention measuring points are guaranteed, at the same time, the weights of the measuring points are dynamically changed in a data acquisition process according to the association rules, the data is acquired according to different states, and the acquisition frequency of the measuring points can change in real time.

Description

technical field [0001] The invention belongs to the field of dynamic environment monitoring data collection, and in particular relates to a data collection method for intelligent equipment. Background technique [0002] Power environment monitoring (referred to as dynamic environment monitoring) refers to the centralized monitoring of power equipment and environmental variables in various computer rooms. monitor . The dynamic environment monitoring system needs to collect data such as telemetry and remote signaling (hereinafter referred to as measurement points) for each independent power equipment, computer room environment, and security monitoring objects in the computer room, detect the operating status of smart devices in real time, record and process relevant data, Detect faults in time, and perform necessary remote control and remote adjustment operations, and timely notify and report for processing. [0003] The dynamic environment monitoring system stores and prese...

AI Technical Summary

Problems solved by technology

Since users pay different attention to the importance of the measurement points of smart devices, the existing collection method is a method of collecting in an equal order according to the collection time of each measurement point. Divide the collection time, so it takes a long time to collect the measurement points that users focus on. At the same time, if the measurement points are lost during the transmission process, it will take an additional cycle to collect them. The feedback of the measurement points that users care about will not be timely. Case

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