CN103899357A - System and method for real-time visual monitoring and early warning of mine floor water disasters - Google Patents

System and method for real-time visual monitoring and early warning of mine floor water disasters Download PDF

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Publication number
CN103899357A
CN103899357A CN201410011711.9A CN201410011711A CN103899357A CN 103899357 A CN103899357 A CN 103899357A CN 201410011711 A CN201410011711 A CN 201410011711A CN 103899357 A CN103899357 A CN 103899357A
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China
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data
information
monitoring
sensor
computer
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CN201410011711.9A
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刘志高
悦红军
王佳伟
张巍
李建军
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BEIJING HUAAN AOTE TECHNOLOGY Co Ltd
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BEIJING HUAAN AOTE TECHNOLOGY Co Ltd
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Priority to CN201410011711.9A priority Critical patent/CN103899357A/en
Publication of CN103899357A publication Critical patent/CN103899357A/en
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Abstract

The invention discloses a system and method for real-time visual monitoring and early warning of mine floor water disasters. The system is composed of a ground monitoring computer, a data server, a plurality of remote monitoring computers, a specific resistance acquisition computer, an electrode conversion device, a pressure senor, a temperature sensor, a humidity sensor, a water level sensor, a water quality sensor, a pipeline flow sensor, an open channel flow sensor and the like. The ground monitoring computer is connected with a network switch. The network switch is connected with the specific resistance acquisition computer, the pressure sensor, the temperature sensor and the humidity sensor. The specific resistance acquisition computer is connected with the electrode conversion device. The ground monitoring computer, the data server and the remote monitoring computers are connected through a network. The ground monitoring computer and the data server are connected with the remote monitoring computers. The method for real-time visual monitoring and early warning of mine floor water disasters comprises the steps of human-computer interaction, data acquisition order issuing, data acquisition, data processing, data storage and visual early warning.

Description

Mine bottom plate water damage real-time visual monitor and early warning system and method
Technical field
The present invention relates to a kind of monitoring and forecasting system, especially relate to a kind of for coal mine water damage monitoring and forecasting system.
Background technology
In recent years, along with the degree of depth, speed, the intensity of coal mining constantly increase, mine hydrogeology condition becomes increasingly complex, and causes mine water inrush, water leak accident frequently to occur.Mine water disaster accident not only makes national public property suffer a loss, and more threatens coal mine working personnel's life security.Therefore, develop the water damage monitoring and forecasting system of a set of practicality significant.
The generation of any water bursting in mine accident has one from breeding, develop into the transfer process by quantitative change to qualitative change of burst, different phase therein, and mine water end of love there will be multiple omen; Existing monitoring method is carried out the situation of analyses and prediction underground water and then realized forecasting and warning by the variation of the relevant hydrologic parameters such as monitoring hydraulic pressure, water level, bottom plate resistance rate.Although hydraulic pressure, level sensor monitoring accuracy is high, monitoring range is little, information timeliness is poor, complicated operation, equipment cost are high, cannot tackle situation complicated and changeable under coal mine; And although bottom plate resistance rate monitoring computer monitoring range is wide, the degree of depth is dark, but resistivity data collection is easily disturbed, monitors, forecasts that the degree of accuracy is low, often occur alert wrong report, for the normal work in colliery brings inconvenience, be difficult to bring into play water damage monitoring, prediction effect.
Summary of the invention
The present invention, in order to solve deficiency of the prior art, provides a kind of mine water disaster monitoring and forecasting system and method, and this system can Real-Time Monitoring, regimen under forecast coal mine, avoids the generation of water damage.
In order to achieve the above object, the present invention realizes by following technical scheme:
1, mine water disaster monitoring and forecasting system, by ground monitoring computer, data server, remote monitoring computer, resistivity collecting computer, electrode conversion device, pressure sensor, temperature pick up, humidity sensor, the network switch, network composition, ground monitoring computer connects a network switch, the network switch connects at least one resistivity collecting computer, a pressure sensor, a temperature pick up, a humidity sensor, a level sensor, a water quality sensor, a pipeline flow sensor, an open channel flow rate sensor, every resistivity collecting computer at least connects an electrode conversion device, ground monitoring computer, data server, between remote monitoring computer, connect by network, ground monitoring computer, data server can be connected with multiple remote monitoring computers.
Above-mentioned parallel being connected on the network switch of at least one resistivity collecting computer.
Above-mentioned parallel being connected on the network switch of at least one pressure sensor.
Above-mentioned parallel being connected on the network switch of at least one temperature pick up.
Above-mentioned parallel being connected on the network switch of at least one humidity sensor.
Above-mentioned parallel being connected on the network switch of at least one level sensor.
Above-mentioned parallel being connected on the network switch of at least one water quality sensor.
Above-mentioned parallel being connected on the network switch of at least one pipeline flow sensor.
Above-mentioned parallel being connected on the network switch of at least one open channel flow rate sensor.
Being connected on resistivity collecting computer of at least one above-mentioned electrode conversion device serial.
Above-mentioned electrode conversion device comprises at least one root unit multicore cable, every root unit multicore cable at least one electrode controller connected in series, and each electrode controller connects an electrode.
2, monitoring and pre-alarming method comprises: man-machine interaction step; Data acquisition command issues step; Data acquisition step; Data processing step; Data storing step; Visual early warning step.
Above-mentioned data processing step is carried out data fusion by considering base plate apparent resistivity information, water level information, temperature information, pressure information, water quality information, pipeline flow information, open channel flow rate information etc., obtains comprehensive pre-warning information.
Above-mentioned Data Source comprises the real time information such as base plate apparent resistivity information, water level information, temperature information, pressure information, water quality information, pipeline flow information, open channel flow rate information, and through unifying the space-time datum of multisensor institute image data, the multi-source data arriving to multi-sensor collection increases space-time label, is converted into consolidation form; The multi-source data of uniform format is carried out to space-time coupling, matched data is carried out to early warning by variable Fuzzy processing, fuzzy reasoning, fuzzy resolution.
Above-mentioned base plate apparent resistivity information, comprises that the zone leveling value, apparent resistivity low-resistance region area, apparent resistivity low-resistance zone boundary of apparent resistivity real-time sampling value, apparent resistivity are according to variation (difference of a rear moment and the previous moment) average of every bit apparent resistivity in the distance of backplate surface, region etc.
The above-mentioned multi-source data fusion method based on multisensor, it is characterized in that space-time datum is that the WGS-84 earth coordinates above-mentioned multi-source data fusion method based on multisensor of split-second precision benchmark of unifying adopts fuzzy algorithmic approach principle, merges through fuzzy reasoning and fuzzy resolution the Multiple Source Sensor data after space-time coupling.
 
The present invention has the following advantages:
1) monitor, forecast that accuracy is high: the multiple sensors such as adopts pressure sensor, temperature pick up, humidity sensor, resistivity collecting computer, synthetical collection is also analyzed several data; Each data are verified mutually, and monitoring, forecast accuracy are provided.
2) multi-layer monitoring, early warning mechanism: resistivity collecting computer adopts high-density electric principle, and investigative range is dark, and monitoring range is wide, but accuracy is low; Pressure sensor, temperature pick up, humidity sensor monitoring range are little, but accuracy is high; When only having resistivity collecting computer to monitor when abnormal, client alert supervising device adopts low warning, when resistivity collecting computer, pressure sensor, temperature pick up, humidity sensor monitor when abnormal simultaneously, client alert supervising device adopts highly warning.
3) energy conservation: when monitoring range does not have when abnormal, resistivity collecting computer is in running order, pressure sensor, temperature pick up, humidity sensor be in resting state, energy conservation; When resistivity collecting computer monitors when abnormal, client alert supervising device will wake pressure sensor, temperature pick up, humidity sensor up, and resistivity collecting computer, pressure sensor, temperature pick up, humidity sensor are monitored simultaneously.
4) monitoring range is wide: resistivity collecting computer serializable connects multiple electrode conversion devices, and detecting location is easily expanded, and investigative range is wide.
 
Brief description of the drawings
Fig. 1 is the structured flowchart of mine water disaster monitoring and forecasting system of the present invention;
Fig. 2 is electrode conversion device structural representation of the present invention;
Fig. 3 is monitoring and pre-alarming method flow chart of the present invention;
Fig. 4 is multisource data fusion flow chart of the present invention.
 
Detailed description of the invention
Below in conjunction with drawings and Examples, the invention will be further described.
Mine water disaster monitoring and forecasting system as shown in Figure 1, is made up of ground monitoring computer, data server, remote monitoring computer, resistivity collecting computer, electrode conversion device, pressure sensor, temperature pick up, humidity sensor, the network switch, network; Ground monitoring computer connects a network switch, and the network switch connects a resistivity collecting computer, a pressure sensor, a temperature pick up, a humidity sensor; Resistivity collecting computer connects an electrode conversion device; Between ground monitoring computer, data server, remote monitoring computer, connect by network, ground monitoring computer, data server are connected with N remote monitoring computer.
In a tunnel in colliery, place a network switch, the network switch connects a resistivity collecting computer, a pressure sensor, a temperature pick up, a humidity sensor, resistivity collecting computer connects an electrode conversion device, in tunnel, according to high-density electric principle arrangement electrode conversion device, resistivity collecting computer is by the conversion of electrode conversion device control electrode and the collection of resistivity data.
Ground monitoring computer is placed on the ground, by user, monitoring frequency, sensor dormancy and wake-up condition, alert if is set; User is by ground monitoring computer control resistivity collecting computer, pressure sensor, temperature pick up, humidity sensor data acquisition; After data acquisition, by the network switch, the data of collection are sent to ground monitoring computer, by the processing of ground monitoring computer, analyze data, and the resistivity image and the tunnel regimen that show former data, data after treatment then and there, draw according to resistivity data; After data processing, ground monitoring computer is sent to data server by network by the data of collection, is preserved by server;
Data server is for storing the data that transmitted by ground monitoring computer, and set up a database, as the tunnel regimen in survey region has reached the alert if setting in advance, data server can send warning message and monitored area Hydrologic Information to the remote monitoring computer of specifying, thereby avoids water damage to occur.
Long-distance user can check the historical data in data server by network at any time by remote monitoring computer, also can arrange ground monitoring computer, the parameters such as monitoring frequency, sensor dormancy and wake-up condition, the alert if of amendment ground monitoring computer, different long-distance users has different authorities, can carry out by remote monitoring computer the operation of different rights to ground monitoring computer.
Electrode conversion device of the present invention as shown in Figure 2 comprises at least one root unit multicore cable, described at least one root unit multicore cable is connected in series, every root unit multicore cable at least one electrode controller connected in series, each electrode controller connects an electrode.When actual measurement, unit multicore cable can adopt 12 core cables, every root unit multicore cable 10 electrode controllers connected in series, and the spacing of adjacent two electrode controllers is 10 meters, the spacing of adjacent two electrodes is 10 meters; Unit multicore cable is connected in series to resistivity collecting computer.Be only the most preferred embodiment of electrode conversion device of the present invention as mentioned above, do not limit interest field of the present invention with this.
Monitoring and pre-alarming method comprises as shown in Figure 3: man-machine interaction step; Data acquisition command issues step; Data acquisition step; Data processing step; Data storing step; Visual early warning step.
Man-machine interaction step is mainly used in realizing that the setting of early warning system parameter, prediction policy setting, data are derived, early warning result is checked etc.
Data acquisition command issues mainly to be examined computer and automatically completes, and can set in advance the cycle interval that order issues.The order issuing comprises two classes: a class is system maintenance order, mainly comprises the order such as System self-test, system configuration; Another kind of is control command, mainly comprises the order such as data acquisition, data upload.
Data processing step is carried out data fusion by considering base plate apparent resistivity information, water level information, temperature information, pressure information, water quality information, pipeline flow information, open channel flow rate information etc., obtains comprehensive pre-warning information.
As shown in Figure 4, Data Source comprises the real time information such as base plate apparent resistivity information, water level information, temperature information, pressure information, water quality information, pipeline flow information, open channel flow rate information, and the space-time datum of unification multisensor institute image data, the multi-source data arriving to multi-sensor collection increases space-time label, is converted into consolidation form; The multi-source data of uniform format is carried out to space-time coupling, matched data is carried out to early warning by variable Fuzzy processing, fuzzy reasoning, fuzzy resolution.
Base plate apparent resistivity information, comprises that the zone leveling value, apparent resistivity low-resistance region area, apparent resistivity low-resistance zone boundary of apparent resistivity real-time sampling value, apparent resistivity are according to variation (difference of a rear moment and the previous moment) average of every bit apparent resistivity in the distance of backplate surface, region etc.
Based on the multi-source data fusion method of multisensor, space-time datum is the WGS-84 earth coordinates split-second precision benchmark of unifying.
Multi-source data fusion method based on multisensor adopts fuzzy algorithmic approach principle, and the Multiple Source Sensor data after space-time coupling are merged through fuzzy reasoning and fuzzy resolution.
The present embodiment is only used for monitoring the mine water disaster monitoring and forecasting system of a coal mine roadway, and mine water disaster monitoring and forecasting system of the present invention also can be used for detecting the water damage situation of many coal mine roadways.While being used for monitoring many coal mine roadways, arrange a resistivity collecting computer, a pressure sensor, a temperature pick up, a humidity sensor in every tunnel, every resistivity collecting computer connects an electrode conversion device; Each resistivity collecting computer, pressure sensor, temperature pick up, humidity sensor parallel join are to the network switch, the network switch is connected to ground monitoring computer, by ground monitoring computer, by controlling data acquisition computer, pressure sensor, temperature pick up, humidity sensor data acquisition, other detailed description of the invention is identical with the detailed description of the invention of a coal mine roadway of monitoring.
It should be noted that; above disclosed is only a kind of preferred embodiment of the present invention; certainly can not limit with this interest field of the present invention; under the premise without departing from the principles of the invention; those skilled in the art can also make some improvements and modifications, and these improvements and modifications also should be considered as protection scope of the present invention.

Claims (17)

1. mine water disaster monitoring and forecasting system, is made up of ground monitoring computer, data server, remote monitoring computer, resistivity collecting computer, electrode conversion device, pressure sensor, temperature pick up, humidity sensor, the network switch, network, it is characterized in that: ground monitoring computer connects a network switch, the network switch connects at least one resistivity collecting computer, a pressure sensor, a temperature pick up, a humidity sensor, a level sensor, a water quality sensor, a pipeline flow sensor, an open channel flow rate sensor, every resistivity collecting computer at least connects an electrode conversion device, ground monitoring computer, data server, between remote monitoring computer, connect by network, ground monitoring computer, data server can be connected with multiple remote monitoring computers.
2. mine water disaster monitoring and forecasting system according to claim 1, is characterized in that: at least one described resistivity collecting computer parallel join is to the network switch.
3. mine water disaster monitoring and forecasting system according to claim 1, is characterized in that: at least one described pressure sensor parallel join is to the network switch.
4. mine water disaster monitoring and forecasting system according to claim 1, is characterized in that: at least one described temperature pick up parallel join is to the network switch.
5. mine water disaster monitoring and forecasting system according to claim 1, is characterized in that: at least one described humidity sensor parallel join is to the network switch.
6. mine water disaster monitoring and forecasting system according to claim 1, is characterized in that: at least one described level sensor parallel join is to the network switch.
7. mine water disaster monitoring and forecasting system according to claim 1, is characterized in that: at least one described water quality sensor parallel join is to the network switch.
8. mine water disaster monitoring and forecasting system according to claim 1, is characterized in that: at least one described pipeline flow sensor parallel join is to the network switch.
9. mine water disaster monitoring and forecasting system according to claim 1, is characterized in that: at least one described open channel flow rate sensor parallel join is to the network switch.
10. mine water disaster monitoring and forecasting system according to claim 1, is characterized in that: at least one described electrode conversion device is connected in series to the network switch.
11. mine water disaster monitoring and forecasting systems according to claim 1, is characterized in that: described data server can be connected with multiple remote monitoring computers.
12. monitoring and pre-alarming methods comprise: man-machine interaction step; Data acquisition command issues step; Data acquisition step; Data processing step; Data storing step; Visual early warning step.
13. monitoring and pre-alarming methods according to claim 12, it is characterized in that: described data processing step is carried out data fusion by considering base plate apparent resistivity information, water level information, temperature information, pressure information, water quality information, pipeline flow information, open channel flow rate information etc., obtains comprehensive pre-warning information.
14. according to the base plate apparent resistivity information described in right 13, it is characterized in that: comprise the zone leveling value, apparent resistivity low-resistance region area, apparent resistivity low-resistance zone boundary of apparent resistivity real-time sampling value, apparent resistivity variation (difference of a rear moment and the previous moment) average according to every bit apparent resistivity in the distance of backplate surface, region.
15. data fusion methods according to claim 13, it is characterized in that: Data Source comprises the real time information such as base plate apparent resistivity information, water level information, temperature information, pressure information, water quality information, pipeline flow information, open channel flow rate information, and through unifying the space-time datum of multisensor institute image data, the multi-source data arriving to multi-sensor collection increases space-time label, is converted into consolidation form; The multi-source data of uniform format is carried out to space-time coupling, matched data is carried out to early warning by fuzzy reasoning, fuzzy resolution.
16. multi-source data fusion methods based on multisensor according to claim 13, is characterized in that: described space-time datum is the WGS-84 earth coordinates split-second precision benchmark of unifying.
17. according to the multi-source data fusion method based on multisensor described in claim 13 or 14, it is characterized in that: adopt fuzzy algorithmic approach principle, the Multiple Source Sensor data after space-time coupling are merged by fuzzy reasoning and fuzzy resolution.
CN201410011711.9A 2014-01-10 2014-01-10 System and method for real-time visual monitoring and early warning of mine floor water disasters Pending CN103899357A (en)

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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105185040A (en) * 2015-07-24 2015-12-23 北京科技大学 Mine water inrush real-time monitoring, early warning and escape guide system
WO2016090882A1 (en) * 2014-12-08 2016-06-16 中国矿业大学 Method for classifying types of loess gully runoff water disaster caused by mining
CN107463137A (en) * 2017-09-25 2017-12-12 山东大学 A kind of multi-source heterogeneous data integrated synchronous acquisition equipment and its method
CN108345247A (en) * 2018-02-26 2018-07-31 杭州智仁建筑工程有限公司 A kind of autocontrol method
CN108757036A (en) * 2018-04-20 2018-11-06 中煤科工集团西安研究院有限公司 The system and method for liter state is led for monitoring stope bottom plate artesian water

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN202493289U (en) * 2011-12-26 2012-10-17 湖南星奥信息技术有限公司 Mine flood monitoring and early warning system
CN103334794A (en) * 2013-07-16 2013-10-02 安徽恒源煤电股份有限公司 Hydrologic monitoring system for coal mine
CN203335131U (en) * 2013-06-04 2013-12-11 北京华安奥特科技有限公司 Mine water disaster monitoring and forecasting system
CN203347844U (en) * 2013-07-16 2013-12-18 安徽恒源煤电股份有限公司 Hydrological dynamic monitoring and alarming system for coal mine

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN202493289U (en) * 2011-12-26 2012-10-17 湖南星奥信息技术有限公司 Mine flood monitoring and early warning system
CN203335131U (en) * 2013-06-04 2013-12-11 北京华安奥特科技有限公司 Mine water disaster monitoring and forecasting system
CN103334794A (en) * 2013-07-16 2013-10-02 安徽恒源煤电股份有限公司 Hydrologic monitoring system for coal mine
CN203347844U (en) * 2013-07-16 2013-12-18 安徽恒源煤电股份有限公司 Hydrological dynamic monitoring and alarming system for coal mine

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
孟磊等: "基于矿山物联网的矿井突水感知关键技术研究", 《煤炭学报》 *

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2016090882A1 (en) * 2014-12-08 2016-06-16 中国矿业大学 Method for classifying types of loess gully runoff water disaster caused by mining
CN105185040A (en) * 2015-07-24 2015-12-23 北京科技大学 Mine water inrush real-time monitoring, early warning and escape guide system
CN107463137A (en) * 2017-09-25 2017-12-12 山东大学 A kind of multi-source heterogeneous data integrated synchronous acquisition equipment and its method
CN108345247A (en) * 2018-02-26 2018-07-31 杭州智仁建筑工程有限公司 A kind of autocontrol method
CN108757036A (en) * 2018-04-20 2018-11-06 中煤科工集团西安研究院有限公司 The system and method for liter state is led for monitoring stope bottom plate artesian water

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