CN106523033B - A kind of efficient Coal Mine Safety Monitoring System - Google Patents
A kind of efficient Coal Mine Safety Monitoring System Download PDFInfo
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- CN106523033B CN106523033B CN201611250229.6A CN201611250229A CN106523033B CN 106523033 B CN106523033 B CN 106523033B CN 201611250229 A CN201611250229 A CN 201611250229A CN 106523033 B CN106523033 B CN 106523033B
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- 239000003245 coal Substances 0.000 title claims abstract description 72
- 238000012544 monitoring process Methods 0.000 title claims abstract description 32
- 238000011156 evaluation Methods 0.000 claims abstract description 18
- 238000012545 processing Methods 0.000 claims abstract description 15
- 238000004891 communication Methods 0.000 claims abstract description 14
- 239000011435 rock Substances 0.000 claims description 17
- 239000007789 gas Substances 0.000 claims description 15
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims description 14
- 239000001301 oxygen Substances 0.000 claims description 14
- 229910052760 oxygen Inorganic materials 0.000 claims description 14
- 238000005265 energy consumption Methods 0.000 claims description 10
- 238000001303 quality assessment method Methods 0.000 claims description 10
- 238000013459 approach Methods 0.000 claims description 6
- 230000002068 genetic effect Effects 0.000 claims description 5
- 238000012937 correction Methods 0.000 claims description 3
- 238000003745 diagnosis Methods 0.000 claims description 2
- 231100001261 hazardous Toxicity 0.000 claims description 2
- 230000005540 biological transmission Effects 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 2
- 238000000034 method Methods 0.000 description 2
- 238000012935 Averaging Methods 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 238000005316 response function Methods 0.000 description 1
- 230000000153 supplemental effect Effects 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
Classifications
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- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21F—SAFETY DEVICES, TRANSPORT, FILLING-UP, RESCUE, VENTILATION, OR DRAINING IN OR OF MINES OR TUNNELS
- E21F17/00—Methods or devices for use in mines or tunnels, not covered elsewhere
- E21F17/18—Special 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)
- Testing Or Calibration Of Command Recording Devices (AREA)
Abstract
A kind of effective Coal Mine Safety Monitoring System, including data acquisition module, microprocessor module, wireless communication module and monitoring center, microprocessor module is for being handled, being analyzed and being assessed to the data that data acquisition module collects, and assessment result is transferred to monitoring center by module by wireless communication, the progress early warning when assessment result shows that coal mine is in the hole.The invention has the benefit that setting data acquisition module, microprocessor module, wireless communication module and monitoring center, structure is simple, flexibly and easily, pass through the mutual cooperation between each module, the parameter information for influencing safety of coal mines can be effectively acquired in real time, data processing and security evaluation are carried out by microprocessor module, and carry out early warning when assessment result shows that coal mine is in the hole, ensure that the safety of coal mine exploitation.
Description
Technical field
The invention is related to safety monitoring technology field, and in particular to a kind of efficient Coal Mine Safety Monitoring System.
Background technique
Coal resource is the important resource of the one kind in China, is occupied an important position in national economy.However China
Coal mine production environment it is simple and crude, there is many security breaches, and in recent years, more and more mine safety accidents are flooded with newly
The top news with newspaper is heard, the huge hidden danger of our safeties of coal mines is reminded.
Parameter for influencing safety of coal mines carries out real-time monitoring, is a kind of effective means for solving safety of coal mines hidden danger,
Currently, the Industrial Ethernet mostly used based on optical fiber in Coalmine Comprehensive Monitoring System, this increases prison to a certain extent
The complexity of control system, in addition, the huge of sensor node acquisition data also increases the negative of monitoring system to a certain extent
Load.However, merging skill using wireless sensor network and information with the fast development of wireless communication technique and sensor technology
Art constructs Coal Mine Safety Monitoring System, can effectively mitigate the burden of monitoring system, realizes a kind of comprehensive, succinct, effective prison
Survey mode.
Summary of the invention
In view of the above-mentioned problems, the present invention is intended to provide a kind of efficient Coal Mine Safety Monitoring System.
The purpose of the invention is achieved through the following technical solutions:
A kind of effective Coal Mine Safety Monitoring System, characterized in that including data acquisition module, microprocessor module, nothing
Line communication module and monitoring center, microprocessor module are used to handle the data that data acquisition module collects, divide
Analysis and assessment, and assessment result is transferred to monitoring center by module by wireless communication, when assessment result shows that coal mine is in danger
Early warning is carried out when dangerous state.
Preferably, the wireless transport module is made of the sensor node being deployed in mine laneway, the wireless biography
Defeated module uses a kind of routing mechanism based on genetic algorithm, and the initial path for defining network node is Ji={ j1,j2,…,
jm, then the fitness function in algorithm is defined as:
Wherein, SiIt is the dump energy of node i, l (ji) link jiPath length, e (ji) it is link jiEnergy consumption, β,
It is the weight of the sum of all residue energy of node, linkage length and energy consumption in fitness function respectively with ω, according to practice, β
=0.3,ω=0.2.
Preferably, the data acquisition module includes first sensor component for monitoring coal mine state of surrounding rock and is used for
The second sensor component of coal mine internal environment is monitored, the first sensor component includes for monitoring big coal mine country rock respectively
The sensor of pressure value and shift value, the second sensor component include for monitor coal mine internal temperature, gas density and
The sensor of internal oxygen content.
Preferably, the microprocessor module includes data processing submodule and security evaluation submodule, at the data
For handling the data that data acquisition module collects, the security evaluation submodule is used for according to place reason submodule
Data after reason carry out the security evaluation of coal mine.
The invention the utility model has the advantages that setting data acquisition module, microprocessor module, wireless communication module and monitoring
Center, structure is simple, and flexibly and easily, by the mutual cooperation between each module, can effectively acquire in real time influences coal mine peace
Full parameter information carries out data processing and security evaluation by microprocessor module, and shows that coal mine is in danger in assessment result
Early warning is carried out when dangerous state, ensure that the safety of coal mine exploitation；It is best that network is found using a kind of Revised genetic algorithum
Transmission path, both considered node energy consumption it is contemplated that path length, being capable of effectively save network transmission energy consumption.
Detailed description of the invention
Innovation and creation are described further using attached drawing, but the embodiment in attached drawing does not constitute and appoints to the invention
What is limited, for those of ordinary skill in the art, without creative efforts, can also be according to the following drawings
Obtain other attached drawings.
Fig. 1 is schematic structural view of the invention；
Fig. 2 is security evaluation sub-modular structure schematic diagram of the present invention.
Appended drawing reference:
Data acquisition module 1, microprocessor module 2, wireless communication module 3, monitoring center 4, data processing submodule 21,
Security evaluation submodule 22, structure condition assessment unit 221, air quality assessment unit 222, comprehensive assessment unit 223.
Specific embodiment
The invention will be further described with the following Examples.
Referring to Fig. 1, Fig. 2, a kind of effective Coal Mine Safety Monitoring System of the present embodiment, characterized in that adopted including data
Collect module 1, microprocessor module 2, wireless communication module 3 and monitoring center 4, microprocessor module 2 is used for data acquisition module
The data that block 1 collects are handled, analyzed and are assessed, and assessment result is transferred to monitoring by module 3 by wireless communication
Center 4 carries out early warning when assessment result shows that coal mine is in the hole.
The preferred embodiment setting data acquisition module, microprocessor module, wireless communication module and monitoring center, knot
Structure is simple, flexibly and easily, by the mutual cooperation between each module, can effectively acquire the parameter for influencing safety of coal mines in real time
Information carries out data processing and security evaluation by microprocessor module, and when assessment result shows that coal mine is in the hole
Early warning is carried out, ensure that the safety of coal mine exploitation.
Preferably, the wireless transport module 3 is made of the sensor node being deployed in mine laneway, uses one kind
Routing mechanism based on genetic algorithm, the initial path for defining network node is Ji={ j1,j2,…,jm, then it is suitable in algorithm
Response function is defined as:
Wherein, SiIt is the dump energy of node i, l (ji) link jiPath length, e (ji) it is link jiEnergy consumption, β,
It is the weight of the sum of all residue energy of node, linkage length and energy consumption in fitness function respectively with ω, according to practice, β
=0.3,ω=0.2；
This preferred embodiment finds network optimal transmission paths using a kind of Revised genetic algorithum, has both considered node energy
Consumption it is contemplated that path length, can effectively save network transmission energy consumption, therefore materially increase safety of coal mines
The service life of monitoring system.
Preferably, the data acquisition module 1 includes the first sensor component and use for monitoring coal mine state of surrounding rock
In the second sensor component that monitoring coal mine internal environment is moved, the first sensor component includes for monitoring big coal mine respectively
The sensor of pressure from surrounding rock value and shift value, the second sensor component include dense for monitoring coal mine internal temperature, gas
The sensor of degree and internal oxygen content.
This preferred embodiment realizes effective acquisition to the parameter for influencing safety of coal mines situation, is coal mine safety monitoring system
System is laid a good foundation.
Preferably, the microprocessor module 2 includes data processing submodule 21 and security evaluation submodule 22, the number
It is handled according to the data that processing submodule is used to collect data acquisition module 1, the security evaluation submodule 22 is used
In the security evaluation for carrying out coal mine according to treated data.
Preferably, the data processing submodule 21 mainly includes that data correction and data are average, if the i-th moment acquired
The data arrived are yi, data are modified with the correction formula of processing are as follows:
Wherein, yi' it is revised data, yiFor the initial data before amendment, t0Normal temperature is used for sensor, t is
Actual ambient temperature when sensor uses, s0Standard pressure is used for sensor, t is actual environment gas when sensor uses
Pressure.
Revised data are averaging processing, then formula are as follows:
Data processing submodule 21 is arranged in the present embodiment, eliminates influence of the environment to measurement value sensor, obtained number
According to more accurate, the contingency of individual data is overcome using Weighted Average Algorithm processing data, increases the standard of monitoring system
True property.
Preferably, the security evaluation submodule 22 includes structure condition assessment unit 221, air quality assessment unit
222 and comprehensive assessment unit 223.
This preferred embodiment according to treated data, multi-parameter, it is multi-level safety of coal mines is assessed, improve
The reliability of assessment.
Preferably, the structure condition assessment unit 221 is used for according to above-mentioned resulting pressure from surrounding rock value and shift value pair
Configuration state is assessed, and is specifically included:
A. structure condition assessment unit is established based on fuzzy algorithmic approach, using pressure from surrounding rock value and shift value as input variable,
Upper lower limit value is set to each input variable, and corresponding power is formulated according to influence degree of each input quantity to assessment result respectively
Weight, defines identical fringe to input variable, i.e. " very high ", "high", " normal ", " low ".Using configuration state as output
Amount defines three fringes, i.e. " normal ", " there are risks ", " more dangerous " to configuration state；
B. according to previous sample database, formulating with pressure from surrounding rock value and shift value is that foundation carrys out reasoning structure state
Fuzzy rule；
C. input variable value determines sensor fault, when variate-value is in range when variate-value exceeds upper and lower limits
When, degree of membership of each input variable in fuzzy set is obtained according to fuzzy rule inference, if the country rock pressure that the i-th moment collected
It is respectively h that force value and shift value, which obtain data,u(i) and hd(i), then the expression formula of configuration state J (i) is calculated are as follows:
J (i)=a1h(u)+a2h(d)
Wherein, a1It is respectively pressure from surrounding rock value h with h (u)u(i) weight and degree of membership, a2It is respectively shift value with h (d)
hd(i) weight and degree of membership；
The structure condition assessment unit based on fuzzy algorithmic approach that this preferred embodiment provides, compared with prior art, according to
The pressure from surrounding rock value of coal mine configuration state and the monitoring data of shift value are influenced, using fuzzy diagnosis model evaluation structure state,
The problems such as preferably having handled multifactor, ambiguity and subjective judgement effectively assesses the configuration state of coal mine；
Preferably, the air quality assessment unit 222 is used for according to above-mentioned resulting coal mine internal temperature, gas density
Control quality is assessed with internal oxygen content, is specifically included:
A. air quality assessment unit is established based on fuzzy algorithmic approach, it is oxygen-containing with coal mine internal temperature, gas density and inside
Amount is used as input variable, sets upper lower limit value to each input variable, and according to each input quantity to the air quality inside coal mine
Influence degree formulates corresponding weight respectively, defines identical fringe, i.e. "high", " normal ", " low " to input variable.With
Air quality defines three fringes, i.e. " normal ", " there are risks ", " extremely hazardous " as output quantity, to air quality；
B. it according to previous sample database, formulates using coal mine internal temperature, gas density and internal oxygen content as foundation
Carry out the fuzzy rule of the air quality inside reasoning coal mine；
C. input variable value determines sensor fault, when variate-value is in range when variate-value exceeds upper and lower limits
When, degree of membership of each input variable in fuzzy set is obtained according to fuzzy rule inference, if in the coal mine that collects of the i-th moment
Portion's temperature, gas density and internal oxygen content are respectively t (i), w (i) and o (i), then calculate the expression formula of air quality K (i)
Are as follows:
K (i)=b1h(t)+b2h(w)+b3h(o)
Wherein, b1It is respectively the weight and degree of membership of coal mine internal temperature t (i), b with h (t)2It is respectively that gas is dense with h (w)
Spend the weight and degree of membership of w (i), b3It is respectively the weight and degree of membership of internal oxygen content o (i) with h (o)；
The air quality assessment unit 222 based on fuzzy algorithmic approach that this preferred embodiment provides, compared with prior art, root
According to the coal mine internal temperature of coal mine inner air quality, the monitoring data of gas density and internal oxygen content is influenced, mould is utilized
Assessment models are pasted come the problems such as assessing the air quality inside coal mine, preferably handled multifactor, ambiguity and subjective judgement,
Effectively the air quality state inside coal mine is assessed；
The comprehensive assessment unit 223 is used for according to structure condition assessment unit 221 and air quality assessment unit 222
It diagnoses situation and carries out overall merit, define metewand are as follows:
Failure cut off value D is formulated according to sample database, is formulated according to metewand ω from the relationship of cut off value D different
Warning grade, monitoring center perform corresponding processing measure according to different alert levels, specifically:
| Grade classification | Warning grade |
| ω≤0.6D | Without early warning |
| 0.6D < ω≤1.6D | Slight early warning |
| 1.6D < ω | Danger early warning |
This preferred embodiment provides comprehensive assessment unit 223, according to the resulting configuration state of above-mentioned assessment and air quality
Comprehensive assessment is carried out to the safe condition of coal mine, compared with prior art, breaches the single index of tradition, the coal mine peace of single level
Total state assessment mode forms more comprehensive, high-precision coal mine safety evaluation system；Warning grade system is established, is convenient for
It takes appropriate measures for different warning grades.
Based on the above embodiment, a series of tests have been carried out using different coal mine supplemental characteristics, has been to be tested below
Obtained Forewarn evaluation result:
Finally it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than the present invention is protected
The limitation of range is protected, although explaining in detail referring to preferred embodiment to the present invention, those skilled in the art are answered
Work as understanding, it can be with modification or equivalent replacement of the technical solution of the present invention are made, without departing from the reality of technical solution of the present invention
Matter and range.
Claims (3)
1. a kind of efficient Coal Mine Safety Monitoring System, characterized in that including data acquisition module, microprocessor module, wireless
Communication module and monitoring center, microprocessor module is for handling the data that data acquisition module collects, being analyzed
And assessment, and assessment result is transferred to monitoring center by module by wireless communication, when assessment result shows that coal mine is in danger
Early warning is carried out when state, the microprocessor module includes data processing submodule and security evaluation submodule, the data
The data that processing submodule is used to collect data acquisition module carry out data correction and data are average, the security evaluation
Submodule is used to carry out the assessment of safety of coal mines state according to treated data, and the security evaluation submodule includes structure shape
State assessment unit, air quality assessment unit and comprehensive assessment unit, the structure condition assessment unit are used for according to acquisition institute
The pressure from surrounding rock value and shift value obtained assesses configuration state, specifically includes:
A. structure condition assessment unit is established based on fuzzy algorithmic approach, using pressure from surrounding rock value and shift value as input variable, to each
Input variable sets upper lower limit value, and formulates corresponding weight respectively according to influence degree of each input quantity to assessment result, right
Input variable defines identical fringe, i.e. " very high ", "high", " normal ", " low ", right using configuration state as output quantity
Configuration state defines three fringes, i.e. " normal ", " there are risks ", " more dangerous "；
B. according to previous sample database, formulating with pressure from surrounding rock value and shift value is that foundation carrys out the fuzzy of reasoning structure state
Rule；
C. input variable value determines sensor fault when variate-value exceeds upper and lower limits, when variate-value is in range,
Degree of membership of each input variable in fuzzy set is obtained according to fuzzy rule inference, if the pressure from surrounding rock that the i-th moment collected
It is respectively h that value and shift value, which obtain data,u(i) and hd(i), then the expression formula of configuration state J (i) is calculated are as follows:
J (i)=a1h(u)+a2h(d)
Wherein, a1It is respectively pressure from surrounding rock value h with h (u)u(i) weight and degree of membership, a2It is respectively shift value h with h (d)d(i)
Weight and degree of membership；The air quality assessment unit be used for according to acquire resulting coal mine internal temperature, gas density and
Internal oxygen content assesses air quality, specifically includes:
A. air quality assessment unit is established based on fuzzy algorithmic approach, is made with coal mine internal temperature, gas density and internal oxygen content
For input variable, upper lower limit value, and the influence according to each input quantity to the air quality inside coal mine are set to each input variable
Degree formulates corresponding weight respectively, identical fringe, i.e. "high", " normal ", " low " is defined to input variable, with air
Quality defines three fringes, i.e. " normal ", " there are risks ", " extremely hazardous " as output quantity, to air quality；
B. it according to previous sample database, formulates so that coal mine internal temperature, gas density and internal oxygen content are foundation and pushes away
Manage the fuzzy rule of the air quality inside coal mine；
C. input variable value determines sensor fault when variate-value exceeds upper and lower limits, when variate-value is in range,
Degree of membership of each input variable in fuzzy set is obtained according to fuzzy rule inference, if inside the coal mine that collects of the i-th moment
Temperature, gas density and internal oxygen content are respectively t (i), w (i) and o (i), then calculate the expression formula of air quality K (i) are as follows:
K (i)=b1h(t)+b2h(w)+b3h(o)
Wherein, b1It is respectively the weight and degree of membership of coal mine internal temperature t (i), b with h (t)2It is respectively gas density w with h (w)
(i) weight and degree of membership, b3It is respectively the weight and degree of membership of internal oxygen content o (i) with h (o)；The comprehensive assessment unit
For carrying out overall merit according to the diagnosis situation of structure condition assessment unit and air quality assessment unit.
2. a kind of efficient Coal Mine Safety Monitoring System according to claim 1, characterized in that the wireless communication module
It is made of the sensor node being deployed in mine laneway, the wireless communication module uses a kind of routing based on genetic algorithm
Mechanism, the initial path for defining network node is Ji={ j1,j2,…,jm, then the fitness function in algorithm is defined as:
Wherein, SiIt is the dump energy of node i, l (ji) link jiPath length, e (ji) it is link jiEnergy consumption, β,And ω
It is the weight of the sum of all residue energy of node, linkage length and energy consumption in fitness function respectively, according to practice, β=
0.3,ω=0.2.
3. a kind of efficient Coal Mine Safety Monitoring System according to claim 2, characterized in that the data acquisition module
Including the first sensor component for monitoring coal mine state of surrounding rock and the second sensor for monitoring the shifting of coal mine internal environment
Component, the first sensor component include the sensor for monitoring coal mine pressure from surrounding rock value and shift value respectively, and described
Two sensor modules include the sensor for monitoring coal mine internal temperature, gas density and internal oxygen content.
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| CN107192779A (en) * | 2017-06-13 | 2017-09-22 | 中国矿业大学(北京) | A kind of colliery Ting Cai faces temperature monitoring and gas collecting analysis system |
| CN108510146A (en) * | 2017-12-28 | 2018-09-07 | 国家安全生产监督管理总局通信信息中心 | Safety of Coal Mine Production method for prewarning risk and system |
| CN108952814B (en) * | 2018-08-15 | 2020-09-22 | 苏州律点信息科技有限公司 | Coal mine safety monitoring system based on big data analysis and working method thereof |
| CN110344884A (en) * | 2019-08-08 | 2019-10-18 | 煤炭科学技术研究院有限公司 | A kind of data collection station and method of underground coal mine |
| CN110779574B (en) * | 2019-10-30 | 2020-11-13 | 北京科技大学 | Coal rock dynamic disaster multi-system multi-parameter integrated comprehensive early warning method and system |
| CN117449910B (en) * | 2023-10-26 | 2024-03-29 | 唐山昌宏科技有限公司 | Intelligent comprehensive coal mine mining management system based on perception interaction technology |
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