Terminal alarm blocking optimization method and device based on whale optimization algorithm, and storage medium

Abstract

The invention discloses a terminal alarm blocking optimization method based on a whale optimization algorithm, and the method comprises the steps: dividing the levels of enterprises, obtaining corresponding weights according to the levels of the enterprises, and building a first adaptive weight model according to the weights; establishing a second adaptive weight model according to the alarm number of the enterprise terminal in the preset time; establishing a third adaptive weight model according to the alarm time of different terminals of the same enterprise; and the self-adaptive weights in the first self-adaptive weight model, the second self-adaptive weight model and the third self-adaptive weight model are substituted into a whale optimization algorithm for calculation, and a self-adaptive weight whale optimization algorithm model is obtained. The whale optimization algorithm is improved by establishing three adaptive models, and a variation mechanism is introduced into the whale optimization algorithm, so that the global search ability of the algorithm in the initial stage is enhanced, the convergence speed of the algorithm in the later stage is accelerated, and the ability of the algorithm to jump out of local optimum can be effectively optimized and improved.

Description

technical field [0001] The present application relates to the field of the Internet of Things, and in particular, to a terminal alarm blocking optimization method, device and storage medium based on a whale optimization algorithm. Background technique [0002] During the operation of the Internet of Things, the Internet of Things terminal will report abnormal information to the platform in the case of abnormal operation. After the platform obtains the information, it will be processed uniformly and displayed on the alarm page. The operation and maintenance personnel process the alarms according to the priority according to the alarm page of the platform. For the data rendering of the alarm page, the method adopted in the related art includes: rendering the data of the alarm page according to time. Therefore, the operation and maintenance personnel can only deal with the terminal equipment alarm information reported in the time dimension one by one. This method can work norm...

AI Technical Summary

Problems solved by technology

Therefore, the operation and maintenance personnel can only deal with the alarm information of the terminal equipment reported in the time dimension one by one. This method can run normally in the scene with less alarm information, but if a large number of terminal equipment alarm information appears in a short period of time, there will be problems. The amount of data may increase sharply, resulting in the inability of operation and maintenance personnel to process all alarm information in a timely and effective manner, and the following problems may arise: if alarms are only processed according to the time dimension, terminal devices of different levels cannot be distinguished

There may be a problem that the terminal equipment of a high-priority enterprise cannot be processed quickly and effectively; if there are two enterprises of the same level, considering the time dimension or even the level dimension, there will be a small number of terminal equipment custA

In the case of waiting for custB of multiple terminal devices, the total waiting time is the largest; in the case of a large number of alarms in a short period of time, the operation and maintenance personnel may miss processing

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