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Pump health monitoring method, system and equipment based on edge calculation and medium

An edge computing and health monitoring technology, applied in mechanical equipment, pump testing, machine/engine, etc., can solve problems such as large memory consumption, failure to actively grasp equipment health status, slow analysis speed, etc., to improve analysis speed and reduce memory The effect of consumption and reduction of data

Pending Publication Date: 2022-03-11
CHONGQING CHUANYI AUTOMATION
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  • Abstract
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AI Technical Summary

Problems solved by technology

[0003] In related technologies, the health monitoring of pumps often collects data in real time through multiple vibration and temperature sensors, and performs analysis and processing; due to the large amount of data, the analysis speed is slow and the memory consumption is large
The monitoring results are not clear, and the health status of the equipment cannot be actively grasped

Method used

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  • Pump health monitoring method, system and equipment based on edge calculation and medium
  • Pump health monitoring method, system and equipment based on edge calculation and medium
  • Pump health monitoring method, system and equipment based on edge calculation and medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0059] Such as figure 1 As shown, this embodiment provides a method for monitoring the health of a pump based on edge computing, which includes:

[0060] Step S101: The edge computing module acquires the first sampling data of the pump under test, and performs anomaly detection to obtain a detection result.

[0061] Wherein, the first sampling data includes at least one of vibration data, stress wave data and temperature data, and the detection result includes normal or abnormal.

[0062] The first sampling data may be collected by one or more preset sampling devices.

[0063] In one embodiment, an optional manner of performing anomaly detection on the first sampled data includes:

[0064] A first sampling threshold is acquired, the first sampling data is compared with the first sampling threshold, and the comparison result is used as a detection result.

[0065] It can be preset that the detection result is normal or abnormal when the first sampling data is higher or lower...

Embodiment 2

[0149] see Figure 4 , this embodiment provides a machine pump health monitoring system 400 based on edge computing, including:

[0150] The data acquisition module 401 is configured to acquire first sampling data and second sampling data of the pump to be tested, the first sampling data includes at least one of vibration data, stress wave data and temperature data, and the second sampling includes current data, pressure data At least one of data and traffic data;

[0151] The edge calculation module 402 is used to obtain the first sampled data, and perform anomaly detection to obtain a detection result, the detection result includes normal or abnormal, if the detection result includes abnormality, obtain the second sampled data, and combine the first sampled data, the second The sampling data is sent to the server;

[0152] The server 403 is configured to determine the health status of the pump under test, so as to realize the health monitoring of the pump under test.

[0...

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Abstract

The invention provides a pump health monitoring method, system and equipment based on edge calculation and a medium, and the method comprises the steps: obtaining first sampling data of a to-be-detected pump through an edge calculation module, and carrying out the abnormality pre-judgment; if the judgment result includes abnormity, the edge calculation module sends the first sampling data and the second sampling data of the to-be-tested pump to the server, and the server determines the health state of the to-be-tested pump to realize active health monitoring of the to-be-tested pump, so that intelligent and real-time monitoring of the health state of the to-be-tested pump can be realized; meanwhile, when the detection result is abnormal, the server needs to intervene in evaluation of the health state, so that the processing amount of the server on various monitoring sampling data can be effectively reduced, the analysis speed of the server is improved, the memory consumption is reduced, the edge calculation module receives the health value, an operator can quickly master the current state of the equipment, and the user experience is improved. Operation insurance personnel can timely decide next operation insurance key points, time and operation insurance measures.

Description

technical field [0001] The present invention relates to the technical field of equipment monitoring, in particular to a method, system, equipment and medium for monitoring the health of machines and pumps based on edge computing. Background technique [0002] Due to the characteristics of high temperature, high pressure and various types of equipment in the process manufacturing industry, condition monitoring technology has been widely used in this industry. Condition monitoring is an important part of strengthening the professional management of pumps, which directly reflects the running status of pumps. At present, equipment management is mostly carried out in the form of manual inspection and regular maintenance. Due to untimely inspection or incomplete inspection, the failure of pumps may not be discovered in time, which will cause unplanned shutdown of the factory and the relevance of important equipment. damage. There is an urgent need to adopt intelligent means to t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): F04B51/00
CPCF04B51/00
Inventor 杨露霞钱依祎胡晓若姚杰
Owner CHONGQING CHUANYI AUTOMATION
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