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

Reduction method of downhole equipment detection rule set based on discrete Kalman filter

A Kalman filter and rule technology, applied in the field of downhole equipment detection rule set reduction based on discrete Kalman filter, can solve the problem of slowing down the efficiency of safety detection

Inactive Publication Date: 2017-02-01
CHINA UNIV OF MINING & TECH
View PDF1 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Technical problem: The present invention is to provide a method for reducing the downhole equipment detection rule set based on discrete Kalman filtering, which reduces the safety rule set according to the roadway selection, and solves the problem of directly downloading the rule set to the handheld terminal without reduction. Causes problems that slow down security detection efficiency

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
  • Reduction method of downhole equipment detection rule set based on discrete Kalman filter
  • Reduction method of downhole equipment detection rule set based on discrete Kalman filter
  • Reduction method of downhole equipment detection rule set based on discrete Kalman filter

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0045] The reduction method of the safety rule set: in the rule set reduction method, first determine the coordinates for the entire mine; then equip the inspectors with a safe GPS positioning system; then based on the current state of the inspectors, the discrete Kalman filter algorithm predicts the detection The next laneway to be selected by the personnel; the laneway is associated with the equipment, so as to determine the equipment to be detected;

[0046] The current state of the inspector is used as the input, and the state of the inspector at the next moment is used as the output;

[0047] The lane selection box represents the lane selection algorithm. The rule base box indicates the rule set stored without the lane selection algorithm; the reduced rule base box means the rule base that divides the rule base according to the lanes;

[0048] Specific steps are as follows:

[0049] First, design the equipment table, equipment inspection table, safety rule association t...

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 discloses a downhole equipment detection rule set reduction method based on discrete Calman filter and belongs to coal mine equipment detection methods. The reduction method of safety rule sets includes establishing geographical position coordinates for an entire coal mine; configuring safety GPS locating equipment to a detecting staff, and determining the current state, including the position and speed, of the detecting staff; then on the basis of the current state, predicting the state in the next moment by the discrete Calman filtering algorithm, and selecting a roadway to be selected. A handheld terminal is free of downloading all safety rule sets of all downhole equipment, only the current rule sets are downloaded; reduction can be performed by the discrete Calman filtering theory, the detecting staff arrives at a roadway 1, the handheld terminal downloads a safety rule set 1, next equipment to be detected is predicted according to the discrete Calman filtering theory, the safety rule sets relative to the equipment is pre-downloaded to the handheld terminal, and the detecting efficiency is improved greatly.

Description

technical field [0001] The invention relates to a coal mine underground equipment detection method, in particular to a method for reducing the underground equipment detection rule set based on discrete Kalman filtering. Background technique [0002] Nowadays, when technicians hold handheld devices in the mine to detect the equipment installed in the mine, they need to download all the rule sets in advance. When the device is detected, the running status of the device is detected by comparing the data in the rule set. But now the rule set is stored in the form of a database, and it is not reduced on the handheld terminal, and all the downloaded ones are stored in the device. This will put a lot of pressure on the search data set of the handheld terminal, and the search rule set of the handheld terminal will be very slow, slowing down the efficiency of security detection. Contents of the invention [0003] Technical problem: The present invention is to provide a method for...

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 Patents(China)
IPC IPC(8): G06F19/00G01S19/42G06Q10/06G06Q50/02
Inventor 陈伟张磊姜小荣
Owner CHINA UNIV OF MINING & 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