Intelligent water pump set monitoring and fault early warning method based on internet of things

A fault warning and intelligent monitoring technology, applied in pump control, non-variable-capacity pumps, machines/engines, etc., can solve the problems of single function, low reasoning efficiency, immature intelligent monitoring and fault warning methods, etc., and reduce maintenance. Cost, effect of a wide range of applications

Active Publication Date: 2016-10-12
JIANGSU UNIV
View PDF10 Cites 53 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, the intelligent monitoring and fault warning methods of water pumps and pumps based on the Internet of Things are not yet mature, such as: digital technology and application "Intelligent Monitoring and Diagnosis of Pumps and Pumps Based on Internet of Things Technology" (No. 5, 2013) uses Internet of Things technology Intelligent monitoring and diagnosis of vibration and temperature data of a centrifugal pump unit with intelligent diagnosis and analysis technology, and alarm prompts and maintenance suggestions are given according to abnormal conditions, but this paper only proposes an intelligent predictive maintenance diagnosis based on the Internet of Things Control strategy and system; oil and gas field surface engineering "Progressive cavity pump operation status data remote transmission system based on Internet of Things technology" (No. 9, 2014) Based on the electrical parameter diagnosis method, a progressive cavity pump oil recovery based on Internet of Things technology is proposed Data remote transmission system, but this paper is only applicable to screw pump units; the invention patent "Automatic Diagnosis Method for Machine Pump Group Based on Internet of Things" (application number: 201510081825.5) introduces an automatic diagnosis method for machine pump group based on Internet of Things, It includes three parts: data acquisition and storage, data analysis and processing, and expert system diagnosis. However, the patent uses the fault expert system reasoning machine to realize the self-diagnosis reasoning process. The reasoning efficiency is low, non-universal, and relies on existing experience; the invention The patent "A Multi-stage Deep Well Submersible Pump Based on the Internet of Things" (application number: 201410330695.X) introduces a multi-stage deep well submersible pump with Internet of Things functions, highly integrated functions, and real-time two-way communication with base stations or monitoring centers , but the patent function is relatively single, only applicable to multi-stage deep well submersible pumps; the utility model patent "A Fire Pump Intelligent Monitoring Device Based on the Internet of Things" (application number: 201020593508.4) introduces a fire pump intelligent monitoring device based on the Internet of Things Monitoring device, the scope of application of this patent is relatively single, only applicable to fire pumps, and the device only includes intelligent monitoring function, no fault diagnosis function

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Intelligent water pump set monitoring and fault early warning method based on internet of things
  • Intelligent water pump set monitoring and fault early warning method based on internet of things

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0034] A centrifugal pump with a specific speed of 73 has a design flow of Q d =27m 3 / h, design head H d =11m, speed n=1450r / min.

[0035] (1) Build a water pump test bench based on the electrical measurement method, such as figure 2 shown. Measure the no-load loss of the three-phase motor, draw the no-load characteristic curve of the three-phase motor, and separate the iron loss and mechanical loss. The separated iron loss and mechanical loss are 356.93W and 121.47W respectively.

[0036] The speed n of the pump is measured by the photoelectric sensor, the flow Q is measured by the electromagnetic flowmeter on the outlet pipeline system of the pump group, and the inlet pressure P i Measured by the pressure sensor on the pump inlet pipeline, the outlet pressure P o Measured by the pressure sensor on the pump outlet line. Bearing temperature and motor temperature are measured by temperature sensor, motor vibration and pump vibration are measured by vibration sensor.

...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention belongs to the technical field of fluid mechanical and intelligent diagnosis, and particularly discloses an intelligent water pump set monitoring and fault early warning method based on internet of things. According to the technical scheme, a water pump set testbed is built; a touch screen serves as site monitoring equipment, a PC machine serves as a monitoring platform, a data collection module is used for collecting signals of all sensors, and the touch screen and the PC machine read the data of the data collection module in real time and store and backup the data; The water pump set internet-of-things monitoring system is designed through an HMI, and remote intelligent monitoring of water pump sets on the basis of internet of things is achieved; and monitoring signals of the water pump sets are subjected to data analysis in real time, operational diagnosis and fault early warning. The internet of things technology, the spectral analysis technology and the fault diagnosis technology are effectively combined, early warning of faults of various water pump sets like centrifugal pumps, mixed-flow pumps, axial flow pumps and submersible electric pumps is achieved, and the water pump sets can operate safely and reliably.

Description

technical field [0001] The invention belongs to the technical field of intelligent diagnosis of fluid machinery, and in particular relates to an intelligent monitoring and fault early warning method for water pumps and pump sets based on the Internet of Things. Background technique [0002] At present, the Internet of Things technology has been applied to various degrees in various industries, but overall my country's Internet of Things technology and industrial chain are still in the exploratory stage, and the entire technical framework and industrial model have not yet been formed, especially in the field of water pumps. The intelligent monitoring and fault warning of water pumps and pumps based on the Internet of Things is to connect the water pumps with the Internet through information sensing equipment for information exchange, and use Internet of Things technology, monitoring and fault diagnosis technology to implement online real-time detection of water pumps and pumps...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): F04D15/00
CPCF04D15/00F04D15/0077
Inventor 王凯刘厚林董亮谈明高王勇吴贤芳张景
Owner JIANGSU UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products