CN107956513A - One kind is used for safety of coal mines intelligence real-time early warning system - Google Patents

One kind is used for safety of coal mines intelligence real-time early warning system Download PDF

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Publication number
CN107956513A
CN107956513A CN201711248606.7A CN201711248606A CN107956513A CN 107956513 A CN107956513 A CN 107956513A CN 201711248606 A CN201711248606 A CN 201711248606A CN 107956513 A CN107956513 A CN 107956513A
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China
Prior art keywords
intelligent node
early warning
mine
feature
sensor group
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CN201711248606.7A
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Chinese (zh)
Inventor
李丽君
康琳
董增寿
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Taiyuan University of Science and Technology
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Taiyuan University of Science and Technology
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Priority to CN201711248606.7A priority Critical patent/CN107956513A/en
Publication of CN107956513A publication Critical patent/CN107956513A/en
Pending legal-status Critical Current

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    • EFIXED CONSTRUCTIONS
    • E21EARTH OR ROCK DRILLING; MINING
    • E21FSAFETY DEVICES, TRANSPORT, FILLING-UP, RESCUE, VENTILATION, OR DRAINING IN OR OF MINES OR TUNNELS
    • E21F17/00Methods or devices for use in mines or tunnels, not covered elsewhere
    • E21F17/18Special adaptations of signalling or alarm devices

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  • Engineering & Computer Science (AREA)
  • Mining & Mineral Resources (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Life Sciences & Earth Sciences (AREA)
  • Geochemistry & Mineralogy (AREA)
  • Geology (AREA)
  • Alarm Systems (AREA)

Abstract

One kind is used for safety of coal mines intelligence real-time early warning system, belong to Mine Communication technical field, it is characterized in the sensor group that can gather personnel in the pit's behavioural characteristic, subsurface environment feature, underground equipment operating status feature and mine disaster feature is installed in underworkings, the information of collection is transferred to the intelligent node in same tunnel equips;Intelligent node equip the information of reception is collected, is analyzed, measure with credible judgement, hazards are carried out with early warning and to underworkings and Jing Mian control centres transmission warning message;Jing Mian control centres are that the diversiform data information of reception is clustered, is merged and feature extraction processing, the aggregate establishing credible decision mechanism and decision method is loaded to embedded intelligent node equipment;Between Multiple Source Sensor group is equipped with intelligent node and intelligent node equipment is with being wired or wireless connect between Jing Mian control centres.Advantage is that collection in time is carried out to various features information in mine laneway, analyzes and judges, to dangerous information factor real-time early warning, effectively prevents the generation of underground coal mine accident.

Description

One kind is used for safety of coal mines intelligence real-time early warning system
Technical field
The invention belongs to Mine Communication technical field, and in particular to one kind is used for safety of coal mines intelligence real-time early warning system System.
Background technology
Coal resources are one of highly important resource in national economy, and the development and utilization of coal resources is very Important work.But due to complex geologic conditions in coal mining, operating environment is severe, cause accident in coal production more. In order to ensure coal mine downhole safety, monitoring device is mounted with mine.With Internet of Things, the hair of present information treatment technology Exhibition, by building wired, wireless integral uniform transmission platform and mine distributed measurement network, can effectively supervise mineral products and open Existing failure problems and hazard factor, scientific basis and technical support are provided for management of safe operation during adopting.
Passed however, the downhole data acquisition terminal in existing program is mainly responsible for monitoring collection down-hole information or data in real time Defeated relay node, then using wired or wireless transmission mode, is transmitted to well face monitoring system by gathered data and carries out unification Analysis and decision-making, finally realize the judgement of pre-warning signal.This reliability that will result directly in Sensor monitoring data is subject to underground Complex environment and the influence transmitted at a distance, and the processing of monitoring data will also cause a degree of delay with analysis, It is unfavorable for the accuracy and real-time of coal mining accident early warning.
The content of the invention
It is an object of the present invention to provide one kind to be used for safety of coal mines intelligence real-time early warning system, can effectively implement to coal mine Quick Acquisition, the Realtime Alerts of lower information, the accident for preventing underground coal mine occur.
The present invention is achieved in that as shown in Figure 1, being separately mounted to n coal mine down-hole tunnel it is characterized in that including Working face the 1st, the 2nd ... the n-th Multiple Source Sensor group S1、S2、…SnRespectively with the 1st, the the 2nd ... n-th Multiple Source Sensor group S1、 S2、…SnBy wired or wireless transmission mode be connected the 1st, the 2nd ... the n-th downhole intelligent node equipment T1、T2、…TnWith And equip T with the 1st, the the 2nd ... n-th intelligent node1、T2、…TnControl in the coal mine face being connected by wired or wireless transmission mode Center W processed.
Described 1st, the 2nd ... the n-th Multiple Source Sensor group S1、S2、…SnInclude respectively to personnel in the pit's behavioural characteristic, well Lower environmental characteristic, underground equipment operating status feature and mine disaster feature etc. have the sensors A of acquisition functioni、Bi、 Ri, wherein i=1,2 ... n.Described 1st, the the 2nd ... n-th intelligent node equipment T1、T2、…TnIt is the letter having respectively to being received Breath is collected, analyzes, measuring with credible judgement, to hazards progress early warning and to underworkings and Jing Mian control centres Send the programmable hardware equipment of alarm;The coal mine face control centre W is the diversiform data information progress to reception Cluster, fusion and feature extraction processing, establish credible decision mechanism and decision method loaded embedded intelligent node equipment Aggregate, wherein n, i are positive integer.
The advantages and positive effects of the present invention are:
1. by real-time collection of the Multiple Source Sensor group in underworkings to diversiform data information in tunnel, and It is sent to intelligent node progress analysis in time, measurement and judgement, quick response and sends early warning, both effectively shortens data transfer Distance, lifts the reliability of data transfer, and the data transmission delay and processing delay reduced, realizes in underground work in face of adopting Collect the efficient process of data and quick early warning analysis, can effectively prevent the generation of underground coal mine accident.
2. coal mine face control centre is determined to the hazards in coal production by the pretreatment to gathered data Safety evaluation, and establish on this basis downhole safety production credible decision mechanism, realize to downhole intelligent node can Believe base parameter configuration.It can be established according to underground gathered data situation and be adapted prediction and warning analysis model in practical application, it is full The demand of sufficient varying environment, equipment and personnel's situation.
Brief description of the drawings
Fig. 1 is schematic structural view of the invention.
In figure, S1, S2、…Sn--- the 1st, the 2nd ... the n-th Multiple Source Sensor group,
Ai、Bi、Ri——SiIn sensor group gather different characteristic information sensor, wherein i=1,2 ... n.
T1、T2、…Tn--- the 1st, the 2nd ... the n-th downhole intelligent node equipment.
W --- coal mine face control centre.
N, i is positive integer.
Embodiment
As shown in Figure 1, it is separately mounted to underground coal mine the 1st, the 1st, the the 2nd ... n-th multi-source in the the 2nd ... n-th tunnel passes Sensor group S1、S2、…SnInclude being used for the sensors A for extracting different types of data information respectivelyi、Bi、Ri, wherein i=1,2 ... n. 1st, the the 2nd ... n-th Multiple Source Sensor group S1、S2、…SnBy wired or wireless transmission mode with the 1st, the 2nd ... the n-th underground intelligence Can node equipment T1、T2、…TnIt is connected.1st, the 2nd ... the n-th intelligent node equip T1、T2、…TnPass through wired or wireless biography Defeated mode is connected with coal mine face control centre W.
1. work, installed in the 1st in coal mine down-hole tunnel, the 2nd ... the n-th Multiple Source Sensor group S1、S2、…SnProfit With the sensors A with difference in functionalityi、Bi、RiBeing respectively used to collection influences environment, personnel and the equipment of Safety of Coal Mine Production All kinds of real time data information such as situation, the information of collection include:Personnel in the pit's behavioural characteristic data, subsurface environment characteristic, Equipment health status characteristic and mine disaster characteristic.According to the feature of Multiple Source Sensor gathered data, selection profit With wire transmission or wireless transmission method, by data information transfer to the 1st be distributed in each tunnel, the 2nd ... the n-th underground intelligence Can node equipment T1、T2、…Tn
2. it is distributed in the 1st in each tunnel, the the 2nd ... n-th downhole intelligent node equipment T1、T2、…TnIt is more by what is be collected into Source sensing data utilizes wire transmission or wireless transmission to coal mine face control centre W.In being controlled by coal mine face Heart W is based on big data analysis technology and decision data layer integration technology to coming from the multi-sensor monitoring information in different tunnels Clustered and fusion treatment, safety evaluation of the cooperative achievement to the hazards in coal production.By to multimode isomery number According to feature extraction, realize the Decision fusion of information, structure influences " breaking one's promise " factor analysis mould of underground coal mine failure and disaster Type and " breaking one's promise " index system, and the credible decision mechanism of downhole safety production is established on this basis, it is raw as evaluation safety The judgement foundation of production.The measure of trust computing is embedded in lane by Jing Mian control centres using wire transmission or wireless transmission method The the 1st, the the 2nd ... n-th downhole intelligent node equipment T in road1、T2、…Tn, realize the Remote configuration of credible base parameter.
3. hereafter, the 1st, the the 2nd ... n-th Multiple Source Sensor group S1、S2、…SnBy the data transfer in each tunnel collected extremely Be distributed in each tunnel the 1st, the 2nd ... the n-th downhole intelligent node equipment T1、T2、…Tn, data message is no longer transmitted to well face Control centre is handled and is analyzed, and the multisource data fusion of collection is handled by intelligent node equipment, analyzes Various types of data Feature vector, by the trusted mechanism of preloading, completes the metric analysis to the secure and trusted state of gathered data, realizes safety prison Control and the target of fault pre-alarming.
4. when underground the 1st, the 2nd ... the n-th downhole intelligent node equipment T1、T2、…TnFor the credible of real-time data collection Calculation Estimation result is unsatisfactory for preloading trusted status requirement, and the warning circuit in being equipped using intelligent node is sent out to underworkings Go out pre-warning signal, and warning message is reported into Jing Mian control centres W by wired or wireless transmission mode, rung by control centre It should investigate or solve security risk and disaster scenarios it.
The invention analyzes the multimode isomery number of collection by multisensor Data Fusion technology and big data treatment technology According to safety evaluation of the cooperative achievement to the hazards in coal production, builds " breaking one's promise " Factor Model, be mine safety Situation provides more scientific assessment.Reliable collection and the transmission problem of monitoring data are solved using downhole intelligent node, and can be dropped Low detection process delay, realizes the quick dynamic early-warning to underground failure and disaster, effectively lifts the safety guarantee of mining production.

Claims (1)

1. one kind is used for safety of coal mines intelligence real-time early warning system, n underground coal mine lane is separately mounted to it is characterized in that including 1st, the the 2nd ... n-th Multiple Source Sensor group (S of road working face1、S2、…Sn) respectively with the 1st, the the 2nd ... n-th Multiple Source Sensor group (S1、S2、…Sn) the 1st, the the 2nd ... the n-th downhole intelligent node equipment (T that is connected by wired or wireless transmission mode1、T2、… Tn) and with the 1st, the the 2nd ... n-th intelligent node equip (T1、T2、…Tn) coal that is connected by wired or wireless transmission mode Mine face control centre W, the described 1st, the the 2nd ... n-th Multiple Source Sensor group (S1、S2、…Sn) include respectively to personnel in the pit's row It is characterized, subsurface environment feature, underground equipment operating status feature and mine disaster feature etc. have the sensing of acquisition function Device (Ai、Bi、Ri) wherein i=1,2 ... n;Described 1st, the the 2nd ... n-th intelligent node equipment (T1、T2、…Tn) be respectively have pair The information received is collected, analyzes, measuring with credible judgement, to hazards progress early warning and to underworkings and well Face control centre sends the programmable hardware equipment of alarm;The coal mine face control centre (W) is the polymorphic type to reception Data message clustered, is merged and feature extraction processing, is established credible decision mechanism and decision method is loaded embedded intelligence The aggregate of energy node equipment, wherein n, i is positive integer.
CN201711248606.7A 2017-12-01 2017-12-01 One kind is used for safety of coal mines intelligence real-time early warning system Pending CN107956513A (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109345128A (en) * 2018-10-11 2019-02-15 上海应用技术大学 Gas hidden danger big data analysis method and system
CN113449959A (en) * 2021-05-13 2021-09-28 陕西陕煤黄陵矿业有限公司 Mine personnel behavior governance system and platform
CN114673558A (en) * 2022-04-12 2022-06-28 中国矿业大学 Coal mine driving face risk identification and intelligent pre-control system and method

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120008542A1 (en) * 2009-03-20 2012-01-12 Luke Koleszar Distributed Ad Hoc Mesh Network Protocol for Underground Mine and Hazardous Area Communications
US20150179044A1 (en) * 2013-12-20 2015-06-25 Massachusetts Institute Of Technology Wireless Communication Systems for Underground Pipe Inspection
CN105781618A (en) * 2016-03-15 2016-07-20 华洋通信科技股份有限公司 Coal mine safety integrated monitoring system based on Internet of Things
CN106958457A (en) * 2016-01-08 2017-07-18 深圳市华威世纪科技股份有限公司 A kind of Internet of Things Coal Mine Monitoring System

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120008542A1 (en) * 2009-03-20 2012-01-12 Luke Koleszar Distributed Ad Hoc Mesh Network Protocol for Underground Mine and Hazardous Area Communications
US20150179044A1 (en) * 2013-12-20 2015-06-25 Massachusetts Institute Of Technology Wireless Communication Systems for Underground Pipe Inspection
CN106958457A (en) * 2016-01-08 2017-07-18 深圳市华威世纪科技股份有限公司 A kind of Internet of Things Coal Mine Monitoring System
CN105781618A (en) * 2016-03-15 2016-07-20 华洋通信科技股份有限公司 Coal mine safety integrated monitoring system based on Internet of Things

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109345128A (en) * 2018-10-11 2019-02-15 上海应用技术大学 Gas hidden danger big data analysis method and system
CN113449959A (en) * 2021-05-13 2021-09-28 陕西陕煤黄陵矿业有限公司 Mine personnel behavior governance system and platform
CN114673558A (en) * 2022-04-12 2022-06-28 中国矿业大学 Coal mine driving face risk identification and intelligent pre-control system and method
CN114673558B (en) * 2022-04-12 2023-01-31 中国矿业大学 Coal mine driving face risk identification and intelligent pre-control system and method

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Application publication date: 20180424