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Event-driven remote wireless coalbed methane well station abnormal scene safety monitoring method

A coalbed methane well, event-driven technology, applied in the information field

Inactive Publication Date: 2016-01-13
DALIAN UNIV OF TECH +2
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide an event-driven remote wireless safety monitoring method for abnormal scenes of coalbed methane well stations according to the harsh environmental conditions of coalbed methane well stations and the requirements of low-cost and high-efficiency safety monitoring

Method used

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  • Event-driven remote wireless coalbed methane well station abnormal scene safety monitoring method
  • Event-driven remote wireless coalbed methane well station abnormal scene safety monitoring method
  • Event-driven remote wireless coalbed methane well station abnormal scene safety monitoring method

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Embodiment Construction

[0054] In order to verify the effect of the algorithm, it is compared with the classical kernel density estimation (KDE) algorithm and background-based difference kernel density estimation (BS-KDE) detection algorithm in terms of accuracy. Select the live video of coalbed methane mining, the main interference is the reciprocating motion of the water pump; the video resolution is 320*240, and the parameters of the three algorithms are selected as follows:

[0055] KDE algorithm, the number of samples M is 40, the Gaussian kernel function is selected, the threshold value th=0.0005 is selected when calculating the threshold value, and the background update method is blind update.

[0056] BS-KDE algorithm, the first background model update rate α is 0.1, the background difference threshold is 255*0.15, and the counter threshold C T is 50; the number of samples M in the second background model is 40, a Gaussian kernel function is selected, a threshold value th=0.0005 is selected, ...

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Abstract

The invention discloses an event-driven remote wireless coalbed methane well station abnormal scene safety monitoring method, which belongs to the field of information technology. A background difference method and an improved nuclear density target detection algorithm are fused, the background difference method is firstly used for fusing a three-frame differencing algorithm to segment the image into a dynamic background area and a non dynamic background area, a nuclear density algorithm is then used for segmenting a foreground as for the dynamic background area, abnormal scenes (containing interference signals) and normal scenes are separated and processed, and thus, conflicts between algorithm complexity and real-time requirements can be well solved. When the foreground is segmented, through theoretical derivation, the scheme creatively provides a dynamic threshold calculating method. The method has the beneficial effects that the field abnormal scenes are separated from interference information such as movement of a pump and any sign of movement, and only when real abnormal scenes or events happen, field intelligent monitoring equipment gives an alarm to a monitoring center, field image information is sent, and low-cost and high-efficiency remote monitoring can be realized.

Description

technical field [0001] The invention belongs to the field of information technology, and relates to a machine vision-based algorithm for identifying abnormal scenes in coalbed gas well stations, and in particular to an effective identification method for interference scenes that affect the identification of abnormal scenes, such as the regular movement of pumps and wind and grass in coalbed gas well stations. Background technique [0002] Coalbed methane well stations are usually located in barren mountains, with rugged roads and complex terrain. The safety monitoring of gas wells has always been a major issue related to the safe production of gas wells. Regular manual inspections are usually used for safety precautions. Such as the use of video remote monitoring technology, the technically mature wired remote security monitoring, due to the high cost of laying communication lines, enterprises cannot afford it. Wireless solutions (such as using 3G network) to transmit video,...

Claims

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V20/52
Inventor 杨建华卢伟李明辉崔雅敏吕泽锋傅小康陈仕林
Owner DALIAN UNIV OF TECH
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