Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Wireless sensor network-based monitoring and early warning method for running state of mine ventilator

A wireless sensor and ventilator technology, which is applied in the testing of machine/structural components, instruments, measuring devices, etc., can solve the problems of unrealizable wired sensor network, visual confusion, etc., and achieve efficient production activities, accurate diagnosis, and improved accuracy. rate effect

Inactive Publication Date: 2012-06-27
BEIJING UNIV OF TECH
View PDF4 Cites 37 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This cumbersome process will bring a lot of inconvenience to the testers. In the case of many sensors, the wiring will even cause visual confusion. For rotating devices, wired sensor monitoring is even impossible.
More importantly, considering the limitations of the working environment, wired sensor networks are sometimes extremely unrealizable

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
  • Wireless sensor network-based monitoring and early warning method for running state of mine ventilator
  • Wireless sensor network-based monitoring and early warning method for running state of mine ventilator
  • Wireless sensor network-based monitoring and early warning method for running state of mine ventilator

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] The present invention will be described in detail below in conjunction with accompanying drawing:

[0028] Such as figure 1 As shown, the ventilator online monitoring system of the present invention consists of the following parts: a monitoring computer, a Zigbee wireless star network, and various monitoring terminal sensors. Zigbee wireless star network consists of a coordinator node 2 and multiple sensor nodes 3 . Sensor node types include temperature sensor nodes, vibration sensor nodes, and negative pressure sensor nodes. The coordinator node 2 receives the data of each sensor node 3 through wireless, and transmits the data to the monitoring computer 1 through the serial port in time. The configuration monitoring and early warning system installed on the monitoring computer 1 receives the data and performs real-time display and alarm functions. The sensor node completes the data collection of the temperature sensor 4 , the vibration sensor 5 , and the negative pre...

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 relates to a wireless sensor network-based monitoring and early warning method for a running state of a mine ventilator. Accurate online monitoring and early warning are realized through collecting the vibration, the temperature and the negative pressure information of the ventilator. A monitoring and early warning system comprises a monitoring computer, a Zigbee coordinator node, at least six sensor nodes, at least four temperature sensors, a negative pressure sensor and two vibration sensors, wherein the coordinator node and the sensor nodes are built into a wireless sensor network in a self-organization way; the monitoring computer and the coordinator node are connected through a serial interface line; the four temperature sensors are respectively fixed on bearing bushes at both sides of a motor and a fan; the two vibration sensors are horizontally and vertically arranged on a fan shell; and the negative pressure sensor is connected onto a negative pressure measuring pipe on the fan. According to the wireless sensor network-based monitoring and early warning method for the running state of the mine ventilator, the early warning is more timely and diagnosis is more accurate by adopting integrated diagnosis method of built-in countermeasure base and relative threshold early warning and fuzzy theory.

Description

technical field [0001] The invention relates to a monitoring method for the operating state of a mine ventilator based on a wireless sensor network. Through the collection of the vibration, temperature and negative pressure information of the ventilator, accurate online monitoring of the ventilator state is realized, and possible faults Forewarning. Background technique [0002] The ventilator is the key equipment for safe production in coal mines, and it is responsible for conveying fresh air underground, discharging dust and dirty air, and ensuring safe production in mines. The traditional fan status monitoring system transmits data through cables, that is, arranging multiple sensors at designated positions of the measured object, wiring the sensors one-to-one, and then centralizing them to the central monitoring equipment. This process will take a lot of manpower to arrange the sensors, requiring testers to wire the sensors without errors and prevent the data transmissio...

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): G01M99/00G01D21/02G08C17/02
Inventor 付胜宋海强
Owner BEIJING UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products