CN104454009A - Gas forecasting and early-warning system and method based on sensing network - Google Patents
Gas forecasting and early-warning system and method based on sensing network Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 23
- 239000003245 coal Substances 0.000 claims abstract description 13
- 238000004458 analytical method Methods 0.000 claims description 48
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 claims description 39
- 238000012546 transfer Methods 0.000 claims description 9
- 230000008569 process Effects 0.000 claims description 7
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- 238000004891 communication Methods 0.000 claims description 4
- 238000012417 linear regression Methods 0.000 claims description 4
- 238000006243 chemical reaction Methods 0.000 claims description 3
- 238000000611 regression analysis Methods 0.000 claims description 3
- 238000004519 manufacturing process Methods 0.000 abstract description 5
- 238000012544 monitoring process Methods 0.000 description 7
- 230000008859 change Effects 0.000 description 5
- 238000007418 data mining Methods 0.000 description 3
- 238000001914 filtration Methods 0.000 description 3
- 239000003086 colorant Substances 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000007726 management method Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 241001347978 Major minor Species 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 150000001335 aliphatic alkanes Chemical class 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 230000006835 compression Effects 0.000 description 1
- 238000007906 compression Methods 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000004880 explosion Methods 0.000 description 1
- 229910052500 inorganic mineral Inorganic materials 0.000 description 1
- 239000011707 mineral Substances 0.000 description 1
- 238000005065 mining Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000009967 tasteless effect Effects 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
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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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Abstract
The invention discloses a gas forecasting and early-warning system and a gas forecasting and early-warning method based on a sensing network. The gas forecasting and early-warning system comprises the sensing network and a control center, wherein the sensing network comprises a plurality of sensing network nodes; each sensing network node communicates with the control center through the internet. According to the system and the method, the sensing network of a gas sensor is established on the basis of the internet, and the geographical limitation of the sensor is broken; gas data are remotely acquired in real time, are mined and are forecast and early warned, and forecasting and early-warning information is published in real time; the system forecasts the variation trend of gas before the gas reaches a warning value and gives early-warning information in the corresponding level according to a forecasting result, dangerous hidden hazards are discovered as soon as possible, and the production safety of a coal mine is improved; an existing gas sensor does not need to be changed, and the equipment cost is not improved; the sensing network publishes the data to acquire first-hand data, and the safety state of a mine well is remotely monitored in time, so that a coal mine safety production decision can be made.
Description
Technical field
The present invention relates to methane prediction technology, be specifically related to a kind of Predicting Gas early warning system based on sensing network and prediction and warning method thereof.
Background technology
Coal is that archaeophyte is imbedded in underground and experienced by the solid combustible mineral that complicated biochemistry and physicochemical change formed gradually, primarily of plant remains through biological chemistry action, change through geologic process again after burying and formed, one of main energy sources that since it was 18th century, human world uses.In the environment of high temperature, high pressure, while formation coal, due to physics and chemistry effect, continue to generate gas.Gas is colourless, tasteless gas, not combustion-supporting can not Hold up voltage, when reaching finite concentration, people can be made to suffocate because of anoxic, and burning or blast can occur.
Coal is the basic energy resource of China, and China while as big coal country, is also the country that safety of coal mines situation is very severe.The special major accident 23 of more than dead hundred people occurs once since the establishment of the nation, and wherein 21 belong to gas accident, and the situation is tense for Safety of Coal Mine Production.
For avoiding the explosion accident caused by gas to occur, firedamp sensor has all been installed in existing mine, in order to monitor the change of gas density.This early warning system based on LAN, the mode that higher level department regularly can only be reported by subordinate's mine obtains latest data, real-time property is not strong, but also there will be the problems such as data are inaccurate, is unfavorable for that authorities accurately, in time obtain the firsthand data.Moreover, existing methane prediction system is all adopt LAN to carry out data acquisition and warning, only the gas density situation of simple reflection firedamp sensor position, lacks the function systems such as comprehensively analysis, real-time tendency judgement, can not provide prediction and warning function based on real-time gas monitor data.
Summary of the invention
Occur to effectively prevent gas accident, the present invention proposes a kind of Predicting Gas early warning system based on sensing network, and native system makes full use of existing safety monitoring system equipment, catches gas change information on one's own initiative, Monitoring and forecasting system in real-time, and notify that related personnel carries out emergency processing in time.
The object of the present invention is to provide a kind of Predicting Gas early warning system based on sensing network.
Predicting Gas early warning system based on sensing network of the present invention comprises: sensing network and control centre; Wherein, sensing network comprises multiple sensing network node, and each sensing network node carries out communication by internet and control centre; Each sensing network node comprises monitor server and multiple firedamp sensor, and multiple firedamp sensor is arranged in underground coal mine, Real-time Collection gas data, and transfers to monitor server respectively by secure private network; Control centre comprises data collecting system, data center, data prediction administrating system and early warning analysis delivery system; The data that the monitor server of data acquisition system sensing network is issued by internet, and store data in data center; Data prediction administrating system carries out pretreatment to data, and pretreated data are transferred to early warning analysis delivery system; Early warning analysis delivery system by gradient analysis and trend analysis, and is compared with the warning level be stored in the index system storehouse of data center, sends the prediction and warning of the gas of appropriate level.
Sensing network node is based upon on each colliery, and firedamp sensor is arranged in coal mining face upper corner angle, work plane belt-conveying lane, tailentry and major-minor well.The parameter of each firedamp sensor comprises geographical position, alarming value, data unit and data type, and the parameter of firedamp sensor transfers to monitor server by secure private network.The gas data nail alkane CH that firedamp sensor gathers
4concentration value.
The data that firedamp sensor gathers by monitor server, based on sensors observe service SOS agreement, are distributed to data collecting system by internet, realize the real-time release of data.
After data acquisition system data, data are stored to data center, so that historical data is deposited, inquired about and data mining.
Data prediction administrating system, to the data prediction of data center and unified management, provides the functions such as conventional browsing data, statistical query.Data prediction comprises: to firedamp sensor Unified coding; According to the actual requirements, Coordinate Conversion is carried out to the geographical position of firedamp sensor, converts corresponding coordinate to.
Data after process are transferred to early warning analysis delivery system by data prediction administrating system.Early warning analysis delivery system obtains the data after process, carries out data mining and produces early warning information, and issue early warning information in time to it.Data carry out filtering, compressing and analysis and early warning by early warning analysis delivery system; Filtration refers to removes invalid value, and compression refers to and selectively samples data.Early warning analysis delivery system is mainly based on the historical data and the Real-time Monitoring Data that are stored in data center, by gradient analysis and trend analysis, and compare with the warning level be stored in the index system storehouse of data center, send the prediction and warning of appropriate level.Store the relevant information of firedamp sensor place mine person in charge in early warning analysis delivery system, comprise unit one belongs to, post information and contact method.Be provided with SMS alarm equipment in early warning analysis delivery system, automatically by the form of note, early warning result be sent to relevant person in charge.And, online Push-to-Talk equipment is provided with in early warning analysis delivery system, be positioned at the monitor staff of control centre, only need to press corresponding button, just directly can connect the phone of relevant persons in charge, or manually call, carry out telephone call, and according to the post of relevant persons in charge or rank different, issue corresponding early warning information.
Different according to the warning level of gas, warning level is divided into from low to high successively: blue early warning, yellow early warning, orange early warning and red early warning.Be provided with light warning equipment in early warning analysis delivery system, according to the degree of warning level from low to high, the light of display different colours automatically, is respectively blue, yellow, orange and red respectively.Visual alarm system is according to the difference of warning level, and the light sending different colours reminds the monitor staff of control centre, and make to remind effect more outstanding, information is more directly perceived.
Early warning analysis delivery system of the present invention comprises audible alarm equipment further, and audible alarm equipment, according to warning level, sends corresponding sound, realizes the function of reminding the monitor staff of control centre.
The prediction and warning method of the Predicting Gas early warning system based on sensing network of the present invention, comprises the following steps:
1) the multiple firedamp sensors be arranged in colliery gather gas data, and transfer to monitor server respectively by secure private network;
2) sensing network node obtains the data of monitor server, and based on sensors observe service SOS protocol issuance to internet, data collecting system gathers the data of sensing network node by internet, and data are stored into data center;
3) data prediction administrating system carries out pretreatment to data, and the data after process are transferred to early warning analysis delivery system;
4) early warning analysis delivery system filters data and compresses, by gradient analysis and trend analysis, and compare with the warning level be stored in the index system storehouse of data center, send the prediction and warning of the gas of appropriate level, simultaneously, different according to person in charge's service grade, issue the early warning information of different stage.
Wherein, in step 1) in, the parameter of each firedamp sensor comprises geographical position, alarming value, data unit and data type, and the parameter of firedamp sensor transfers to monitor server by secure private network.
In step 2) in, the data that firedamp sensor gathers by monitor server, based on sensors observe service SOS agreement, are distributed to data collecting system by internet, realize the real-time release of data.
In step 3) in, data prediction comprises: to firedamp sensor Unified coding; According to the actual requirements, Coordinate Conversion is carried out to the geographical position of firedamp sensor, converts corresponding coordinate to.
In step 4) in, gradient analysis refers to, samples according to the historical data in nearest a period of time, tries to achieve real-time Grad by following formula,
Wherein, D
ifor the historical data of sample in nearest a period of time, t is the sampling number in nearest a period of time, and A is the average of sampling, D
nfor current data, real-time Grad is tried to achieve according to the average sampled and current data, then Grad and the graded index system storehouse being stored in data center are compared, if Grad meets corresponding warning level in graded index system storehouse, then send early warning according to corresponding rank.Grad is higher, and the warning level in graded index system storehouse is higher.
Trend analysis refers to: utilize simple regression analysis algorithm, according to the historical data in nearest a period of time, try to achieve the unary linear regression equation of gas data and time, combined sensor alarming value, thus predict sensor and reach giving warning in advance the time required for sensor alarm value, then compare with the trend indicator system storehouse being stored in data center, if the time of giving warning in advance meets corresponding warning level in trend indicator system storehouse, then send early warning according to corresponding rank.The time time that gives warning in advance reached required for sensor alarm value is shorter, and the warning level in trend indicator system storehouse is higher.
Advantage of the present invention:
The present invention is based on the sensing network that firedamp sensor is set up in internet, break sensor region limits.Predicting Gas early warning system is served by sensing network, and real time remote obtains gas data, excavates and prediction and warning data, and real-time release prediction and warning information; System predicted the variation tendency of gas before gas not yet reaches alarming value, provided the early warning information of appropriate level according to predicting the outcome, and found dangerous hidden danger early, compared conventional early warning and added the time processing dangerous hidden danger, improve coal mine production safety; System need not change existing firedamp sensor, makes full use of existing resource, does not increase equipment cost; By sensing network distributing data, realize Real-Time Monitoring, obtain the firsthand data, and in time, remote monitoring mine safety state, thus auxiliary Safety of Coal Mine Production decision-making.
Accompanying drawing explanation
Fig. 1 is the structured flowchart of the Predicting Gas early warning system based on sensing network of the present invention;
Fig. 2 is the structured flowchart of the sensing network node of the Predicting Gas early warning system based on sensing network of the present invention;
Fig. 3 is the structured flowchart of the control centre of the Predicting Gas early warning system based on sensing network of the present invention;
Fig. 4 is the flow chart of the prediction and warning method of the Predicting Gas early warning system based on sensing network of the present invention;
Fig. 5 is the curve map of the unary linear regression equation that the trend analysis of the prediction and warning method of the Predicting Gas early warning system based on sensing network of the present invention obtains.
Detailed description of the invention
Below in conjunction with accompanying drawing, by embodiment, the present invention will be further described.
As shown in Figure 1, the Predicting Gas early warning system based on sensing network of the present embodiment comprises: the sensing network of control centre and multiple sensing network node composition, each sensing network node and control centre carry out communication by internet.
As shown in Figure 2, sensing network node comprises monitor server and multiple firedamp sensor, and multiple firedamp sensor is arranged in colliery, carries out real-time data collection, and transfers to monitor server by secure private network.
As shown in Figure 3, control centre comprises data collecting system, data center, data prediction administrating system and early warning analysis delivery system; The monitor server of each sensing network node carries out communication, distributing data by internet and control centre, the data of data acquisition system sensing network, and is stored in data center; Data center is connected to data prediction administrating system, and data prediction administrating system, to data prediction and unified management, provides the functions such as conventional browsing data, statistical query; Data prediction administrating system is connected to early warning analysis delivery system, and early warning analysis delivery system obtains the data after process, carries out data mining and produces early warning information, and issue early warning information in time to it.
As shown in Figure 4, the prediction and warning method of the Predicting Gas early warning system based on sensing network of the present embodiment, comprises the following steps:
1) gas Sensor monitoring methane CH in colliery is arranged in
4concentration value, and transfer to monitor server by secure private network;
2) sensing network node obtains monitor server data based on SOS protocol issuance to internet, and data collecting system gathers the data of sensing network by internet, and data are stored into data center;
3) data prediction administrating system carries out data prediction to data, and the data after process are transferred to early warning analysis delivery system;
4) early warning analysis is issued and the data monitored is carried out filtering, compressing and analysis and early warning, based on the historical data and the Real-time Monitoring Data that are stored in data center, the prediction and warning of gas is carried out by gradient analysis and trend analysis, and different according to person in charge's service grade, issue the early warning information of different brackets.
Gradient analysis: sample according to the historical data in 5 ~ 10 minutes, sampling twice per minute, tries to achieve real-time Grad by following formula,
Wherein, Di is the historical data of sample in nearest a period of time, t is the sampling number in nearest a period of time, A is the average of sampling, Dn is current data, tries to achieve real-time Grad according to the average sampled and current data, then Grad and the graded index system storehouse being stored in data center is compared, if meet graded index system storehouse, then send early warning according to corresponding rank.Warning level in graded index system storehouse is divided into four grades, and rank is followed successively by blue early warning, yellow early warning, orange early warning and red early warning from low to high, and Grad AI (n), between 0 ~ 20%, does not need to send early warning; AI (n), between 20 ~ 40%, sends blue early warning; AI (n), between 40 ~ 60%, sends yellow early warning; AI (n), between 60 ~ 80%, sends orange early warning; AI (n), more than 80%, sends red early warning, reminds relevant person in charge according to different warning levels, takes corresponding counter-measure.
Trend analysis refers to: utilize simple regression analysis algorithm,
in formula:
be the estimate of dependent variable Y, also claim theoretical value.X is independent variable, represents gas data, namely the concentration value of methane, and Y is the time of giving warning in advance.According to the historical data in nearest 5 ~ 10 minutes a period of times, try to achieve the value of a and b, obtain the unary linear regression equation of data and time, as shown in Figure 5, in conjunction with firedamp sensor alarming value (as 1.5%), thus predict firedamp sensor and reach giving warning in advance the time required for sensor alarm value, then compare with the trend indicator system storehouse being stored in data center, if meet trend indicator system storehouse, then send early warning according to corresponding warning level.Warning level in trend indicator system storehouse is divided into four grades, and rank is followed successively by blue early warning, yellow early warning, orange early warning and red early warning from low to high.The time that gives warning in advance required for sensor alarm value of reaching, in 0 ~ 30 minute, sends red early warning; The time that gives warning in advance required for sensor alarm value of reaching, in 30 ~ 90 minutes, sends orange early warning; The time that gives warning in advance required for sensor alarm value of reaching, in 90 ~ 150 minutes, sends yellow early warning; The time that gives warning in advance required for sensor alarm value of reaching, in 150 ~ 240 minutes, sends blue early warning; The time that gives warning in advance required for sensor alarm value of reaching, more than 240 minutes, does not send early warning.
It is finally noted that, the object publicizing and implementing mode is to help to understand the present invention further, but it will be appreciated by those skilled in the art that: without departing from the spirit and scope of the invention and the appended claims, various substitutions and modifications are all possible.Therefore, the present invention should not be limited to the content disclosed in embodiment, and the scope that the scope of protection of present invention defines with claims is as the criterion.
Claims (8)
1. based on a Predicting Gas early warning system for sensing network, it is characterized in that, described Predicting Gas early warning system comprises: sensing network and control centre; Wherein, described sensing network comprises multiple sensing network node, and each sensing network node carries out communication by internet and control centre; Each sensing network node comprises monitor server and multiple firedamp sensor, and multiple firedamp sensor is arranged in underground coal mine, Real-time Collection gas data, and transfers to monitor server respectively by secure private network; Described control centre comprises data collecting system, data center, data prediction administrating system and early warning analysis delivery system; The data that the monitor server of data acquisition system sensing network is issued by internet, and store data in data center; Data prediction administrating system carries out pretreatment to data, and pretreated data are transferred to early warning analysis delivery system; Early warning analysis delivery system by gradient analysis and trend analysis, and is compared with the warning level be stored in the index system storehouse of data center, sends the prediction and warning of the gas of appropriate level.
2. Predicting Gas early warning system as claimed in claim 1, is characterized in that, be provided with SMS alarm equipment in described early warning analysis delivery system, automatically by the form of note, early warning result is sent to relevant person in charge.
3. Predicting Gas early warning system as claimed in claim 1, it is characterized in that, online Push-to-Talk equipment is provided with in described early warning analysis delivery system, be positioned at the monitor staff of control centre, only need to press corresponding button, just directly can connect the phone of relevant persons in charge, or manually call, carry out telephone call, and according to the post of relevant persons in charge or rank different, issue corresponding early warning information.
4. based on a prediction and warning method for the Predicting Gas early warning system of sensing network, it is characterized in that, described prediction and warning method comprises the following steps:
1) the multiple firedamp sensors be arranged in colliery gather gas data, and transfer to monitor server respectively by secure private network;
2) sensing network node obtains the data of monitor server, and based on sensors observe service SOS protocol issuance to internet, data collecting system gathers the data of sensing network node by internet, and data are stored into data center;
3) data prediction administrating system carries out pretreatment to data, and the data after process are transferred to early warning analysis delivery system;
4) early warning analysis delivery system filters data and compresses, by gradient analysis and trend analysis, and compare with the warning level be stored in the index system storehouse of data center, send the prediction and warning of the gas of appropriate level, simultaneously, different according to person in charge's service grade, issue the early warning information of different stage.
5. prediction and warning method as claimed in claim 4, it is characterized in that, in step 1) in, the parameter of each firedamp sensor comprises geographical position, alarming value, data unit and data type, and the parameter of firedamp sensor transfers to monitor server by secure private network.
6. prediction and warning method as claimed in claim 4, is characterized in that, in step 3) in, data prediction comprises: to firedamp sensor Unified coding; According to the actual requirements, Coordinate Conversion is carried out to the geographical position of firedamp sensor, converts corresponding coordinate to.
7. prediction and warning method as claimed in claim 4, is characterized in that, in step 4) in, gradient analysis refers to, samples according to the historical data in nearest a period of time, tries to achieve real-time Grad by following formula,
Wherein, D
ifor the historical data of sample in nearest a period of time, t is the sampling number in nearest a period of time, and A is the average of sampling, D
nfor current data, real-time Grad is tried to achieve according to the average sampled and current data, then Grad and the graded index system storehouse being stored in data center are compared, if Grad meets corresponding warning level in graded index system storehouse, then send early warning according to corresponding rank.
8. prediction and warning method as claimed in claim 4, it is characterized in that, in step 4) in, trend analysis refers to: utilize simple regression analysis algorithm, according to the historical data in nearest a period of time, try to achieve the unary linear regression equation of gas data and time, combined sensor alarming value, thus predict sensor and reach giving warning in advance the time required for sensor alarm value, then compare with the trend indicator system storehouse being stored in data center, corresponding warning level in trend indicator system storehouse is met if given warning in advance, then send early warning according to corresponding rank.
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| CN107605536A (en) * | 2017-11-02 | 2018-01-19 | 湖南科技大学 | Coal and gas prominent real-time early warning device and method based on Multi-source Information Fusion |
| CN107829780A (en) * | 2017-10-27 | 2018-03-23 | 山西精英科技股份有限公司 | A kind of gas false alarm recognition methods based on coal mine safety monitoring networked system |
| CN108167022A (en) * | 2017-12-25 | 2018-06-15 | 天地（常州）自动化股份有限公司 | A kind of gas monitoring and data comparison method based on coal mine safety monitoring system |
| CN108301872A (en) * | 2018-02-28 | 2018-07-20 | 山东科技大学 | A kind of visual mine warning system for real time monitoring and method based on data filtering |
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