Deduster intelligent maintenance system and maintenance method

Abstract

The invention discloses a deduster intelligent maintenance system comprising a data acquisition module, a communication module, an industrial control computer and a far-end computer; the data acquisition module is connected each work part of the deduster, used for gathering work state data of the work parts, and transmitting the gathered work state data to the industrial control computer and the far-end computer via the communication module. The invention also discloses a deduster intelligent maintenance method comprising the steps of predicting service lives of the work parts and making maintenance plans. The deduster intelligent maintenance system and method are high in intelligent level, more comprehensive and reliable in maintenance and analysis, fast and accurate in responses on problems, can realize scientific prevention and maintenance of the deduster, can improve the deduster reliability, can prolong the deduster service life, can make reasonable maintenance plans, are more effectively in maintenance works, and timely and accurate in consumable purchases.

Description

technical field [0001] The invention relates to the technical field of industrial dust removal, in particular to an intelligent maintenance system and method for a dust collector. Background technique [0002] With the advancement of Industry 4.0, intelligent production has become an important research topic in the industrial field. Dust removal equipment is an auxiliary equipment in various industrial productions, but it is also an indispensable link in protecting the environment, reducing industrial air pollution, and building a green factory. In order to meet the needs of intelligent production and energy saving and environmental protection, the application of intelligence in the dust removal system also needs to be improved urgently. [0003] Traditional industrial dedusting is an open-loop system. These devices can only be operated independently, and the operating change data of various parameters (such as valve switches, pressure, frequency, etc.) in the equipment can...

AI Technical Summary

Problems solved by technology

[0006] 1. The collection of equipment data is mostly manual measurement and manual recording, so the efficiency is low, the error rate is high, and the operation status of the equipment cannot be monitored in real time, let alone online monitoring;

[0007] 2. The awareness of prevention is poor, and it is usually after the equipment has a problem that the processing measures are taken;

[0008] 3. The response to equipment failure is slow, and the cause and point of failure cannot be given clearly. On-site investigation is required, and the maintenance cycle is long;

[0009] 4. Lack of scientific judgment and formulation of maintenance content and plans, low maintenance efficiency, untimely replacement of spare parts, improper maintenance of equipment, resulting in equipment damage or waste of resources;

[0010] 5. The equipment maintenance measures are not perfect, and the maintenance content is difficult to take into account, and it cannot effectively prevent the occurrence of failures

Images