CN110043317A - Knowledge method for early warning is sentenced in a kind of mine disaster many reference amounts local danger area - Google Patents
Knowledge method for early warning is sentenced in a kind of mine disaster many reference amounts local danger area Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 49
- 238000012544 monitoring process Methods 0.000 claims abstract description 142
- 238000005520 cutting process Methods 0.000 claims description 14
- 238000005553 drilling Methods 0.000 claims description 14
- 239000003245 coal Substances 0.000 claims description 12
- 230000002265 prevention Effects 0.000 abstract description 7
- 238000001514 detection method Methods 0.000 description 22
- 238000010276 construction Methods 0.000 description 6
- 230000000694 effects Effects 0.000 description 5
- 239000011435 rock Substances 0.000 description 4
- 239000003102 growth factor Substances 0.000 description 3
- 238000007689 inspection Methods 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 2
- 238000012512 characterization method Methods 0.000 description 2
- 239000002817 coal dust Substances 0.000 description 2
- 238000005065 mining Methods 0.000 description 2
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- 238000013316 zoning Methods 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 present invention relates to mine power disaster monitoring and warning fields, purpose is to provide a kind of mine disaster many reference amounts local danger area and sentences knowledge method for early warning, it can the accurately position in Pan Shi local danger area and danger classes, it can targetedly instruct mine to carry out disaster prevention, can satisfy each mine field demand.Above-mentioned method for early warning includes step 1, the space orientation of mine disaster monitoring point；Step 2, the initial hazard index I of each monitoring point is obtainedSingle-point is initial(0≤ISingle-point is initial≤1)；Step 3, the case where retrieving each other monitoring points of monitoring point periphery；Step 4, the initial hazard index amendment in monitoring point；Step 5, local danger zone position and danger classes are obtained.It is of the invention solve existing method for early warning can not accurate Pan Shi local danger area position and danger classes, the problem of cannot targetedly instructing mine to carry out disaster prevention.
Description
Technical field
The present invention relates to mine power disaster monitoring and warning technical fields, more particularly to a kind of mine disaster many reference amounts office
Sentence in danger area knowledge method for early warning in portion.
Background technique
Mine power disaster is one of the principal element for influencing the safe and healthy development of mining industry in world wide, is had prominent
The features such as hair property is strong, influence factor is more, contingency is strong has extremely strong destructiveness, once this disaster, which occurs, will cause mine
The heavy losses of human life and property.Therefore, carrying out monitoring and warning in advance to mine power disaster is that the great mine of prevention is dynamic
The important measures that power disaster accident occurs.Mine power disaster includes the bump that mining and underground project activity induce
The genesis mechanism of (rock burst), coal and gas prominent, roof caving, gushing water etc., the dynamic disasters such as bump is complicated, and stress
Field is affected by factors such as the unrestrained water of top plate, ground settlements, further increases the complexity of dynamic disaster genesis mechanism and controls
The difficulty of reason.
Wherein, bump is deep-buried underground engineering common one of dynamic disaster breakoff phenomenon in the construction process, mesh
Before, for the monitoring and warning of rock blast hazard, drilling cuttings monitoring method, stress in coal bed monitoring method, electromagnetism have been proposed both at home and abroad
A variety of methods such as Radiation monitoring method, rock noise and micro seismic monitoring method.Since mine power disaster type is complicated, current many mines
Status is assembled with the monitoring and warning system of many types, but respectively the method for early warning of monitoring system is relatively independent, combined pre-warning
Low efficiency, also multiple types monitor the skimble-scamble situation of system early warning result frequent occurrence, and early warning accuracy is poor, is unable to satisfy scene
It needs.
For this purpose, there is a kind of many reference amounts monitoring and pre-alarming method, such as Chinese patent literature in the prior art
A kind of multi-parameter integrated monitoring and pre-alarming method of driving face is disclosed in CN105257339A, comprising: step 1: by heading driver
Make face zoning monitoring；Step 2: stress in coal bed, rock noise and microseism are installed in digging laneway, in anchor shaft anchor cable stress monitoring system
At least two monitoring systems；Step 3: obtaining each monitoring and warning index；Step 4: assigning one respectively for each monitoring and warning index
Fixed weight simultaneously adds up, and obtains comprehensive pre-warning index.This method is joined more by regulation driving face subregion bump
The arrangement for measuring monitoring point, realizes many reference amounts combined pre-warning of subregional driving face.But this method is only limitted to dig
Into working face, and many reference amounts early warning index of driving face static partition can only be obtained, specific danger zone can not be obtained
Position and danger classes.In terms of local danger zone position identification, the judgment method of single parameter, single measuring point is mostly used at present,
Such as stress of coal seam monitoring system, anchor pole rope supporting power monitoring system are all to reach the stress value upper limit according to measuring point and trigger pre-
Alert, early warning point position is local danger area, but when multiple measuring points reach early warning or stress of coal seam system and anchor pole rope
When the dangerous zone position of supporting Force system instruction is inconsistent, the accurate prevention and control of mine disaster just cannot achieve.
To sum up, the mine disaster method for early warning of the prior art can not accurate Pan Shi local danger area position and danger etc.
Grade, early warning effect is poor, and mine cannot targetedly be instructed to carry out disaster prevention.
Summary of the invention
For this purpose, technical problem to be solved by the present invention lies in the mine power disaster monitoring and pre-alarming method of the prior art without
The position in method accurate Pan Shi local danger area and danger classes, early warning effect is poor, cannot targetedly instruct mine to carry out
Disaster prevention, and provide it is a kind of can accurately the position in Pan Shi local danger area and danger classes, early warning effect it is good, can have needle
Mine is instructed property to carry out disaster prevention, the mine disaster many reference amounts local danger area that can satisfy each mine field demand is sentenced
Know method for early warning.
In order to solve the above technical problems, The technical solution adopted by the invention is as follows:
A kind of mine disaster many reference amounts local danger area sentence knowledge method for early warning, comprising:
Step 1, mine disaster monitoring point space orientation
In the same coordinate system, space orientation is carried out to each monitoring point of each monitoring and warning system；
Step 2, the initial hazard index I of each monitoring point is obtainedSingle-point is initial(0≤ISingle-point is initial≤1)；
Step 3, the case where retrieving each other monitoring points of monitoring point periphery
It obtains using each monitoring point as center measuring point, in its radius to retrieve other monitorings within the scope of the sphere of r
The case where point；
Step 4, the initial hazard index amendment in monitoring point
According to each center measuring point within the scope of the sphere that its radius is r, it is retrieved the initial danger of monitoring point
Index ISingle-point is initialTo the initial hazard index I of each center measuring pointSingle-point is initialIt is modified, the amendment for obtaining each center measuring point is dangerous
Index ISingle-point amendment；
Step 5, local danger zone position and danger classes are obtained
Choose amendment hazard index ISingle-point amendmentThe maximum center measuring point of numerical value, the center measuring point radius are the sphere quilt of r
It is determined as local danger area, the amendment hazard index I of the center measuring pointSingle-point amendmentFor the danger classes in the local danger area.
Preferably, in the step 4, monitoring point distribution correction factor k is retrieved to eachi, it is retrieved monitoring point
Initial hazard index ISingle-point is initialCorrection factor k that is higher, being assigned toiNumerical value it is bigger；
The amendment hazard index I of each center measuring pointSingle-point amendment=ISingle-point is initial*k1*k2*……*ki
Wherein, i is the quantity for being retrieved monitoring point, as the I being calculatedSingle-point amendmentWhen greater than 1, I is takenSingle-point amendmentEqual to 1.
Preferably, the correction factor kiValue are as follows:
Preferably, the step 2 is the corresponding monitoring data of monitoring data proposition for different monitoring and warning systems
Danger judgement threshold value carries out threat level assessment to each monitoring point according to monitoring data danger judgement threshold value, obtains each monitoring
The normalized initial hazard index I of pointSingle-point is initial。
Preferably, according to the initial hazard index I in each monitoring point in the step 3Single-point is initialDescending sequence obtains
The case where by center measuring point, radius of each monitoring point to retrieve other monitoring points within the scope of the sphere of r.
Preferably, radius r value is 50 meters in the step 3.
Preferably, each monitoring and warning system in the step 1 include stress of coal seam monitoring system, Microseismic monitoring system,
Drilling cuttings method monitors system, hydrologic monitoring system.
The above technical solution of the present invention has the following advantages over the prior art:
(1) knowledge method for early warning is sentenced in mine disaster many reference amounts local danger area provided by the invention, with existing single parameter mine
Based on the disaster monitoring method of mountain, the monitoring data obtained using existing various monitoring and warning systems can be quasi- by operational analysis
The position in Que Dipanshi local danger area and danger classes, early warning effect is good, can targetedly instruct mine to carry out disaster anti-
Shield, can satisfy each mine field demand.
(2) knowledge method for early warning is sentenced in mine disaster many reference amounts local danger area provided by the invention, by each monitoring point
Initial hazard index is modified, and substantially increases the accuracy and reliability sentenced and know local danger zone position and danger classes.
Detailed description of the invention
In order to make the content of the present invention more clearly understood, it below according to specific embodiments of the present invention and combines
Attached drawing, the present invention is described in further detail, wherein
Fig. 1 is total architecture diagram of the mine combined dynamic disaster comprehensive monitoring method for early warning of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
As shown in Figure 1, being that the preferred implementation for knowing method for early warning is sentenced in a kind of mine disaster many reference amounts local danger area of the present invention
Example.Sentence knowledge method for early warning in the mine disaster many reference amounts local danger area
Step 1, mine disaster monitoring point space orientation
In the same coordinate system, space orientation is carried out to each monitoring point of each monitoring and warning system.Specifically, due to existing
Most mine disaster monitoring and warning systems and the coordinate information that monitoring point is not configured, thus method for early warning of the invention firstly the need of
To each monitoring point of each monitoring and warning system, according to each monitoring point installation site (or microseismic event generation position), in same seat
Space orientation is carried out in mark system (such as the national earth coordinates in mine common 1980).
Following coordinate setting is carried out to each monitoring point of each monitoring and warning system:
Note: the type of mine disaster monitoring data and monitoring point quantity are expansible in upper table, and this is not limited by the present invention.
The present invention carries out operational analysis using existing various monitoring and warning systems, and commonly using monitoring and warning system includes that coal seam is answered
Power monitors system, micro-earthquake monitoring system, drilling cuttings method monitoring system, hydrologic monitoring system etc..The present embodiment is only partially to monitor
For data type.
For example, stress monitoring " pressure detection point 1 ", " pressure detection point 2 " two measuring points, micro seismic monitoring " microseismic event 1 ", " microseism
Two event of event 2 ", drilling cuttings method monitoring " construction hole 1 ", " construction hole 2 " two measuring point coordinates are as follows:
Step 2, the initial hazard index I of each monitoring point is obtainedSingle-point is initial
Corresponding monitoring data danger judgement threshold value is proposed for the monitoring data of different monitoring and warning systems, according to prison
Measured data danger judgement threshold value carries out threat level assessment to each monitoring point, obtains the normalized initial danger in each monitoring point and refers to
Number ISingle-point is initial(0≤ISingle-point is initial≤1)。
Since monitoring data type is more and type is expansible, below only with stress of coal seam monitoring, micro seismic monitoring, drilling cuttings method
It is illustrated for monitoring:
1, the initial hazard index (I in stress in coal bed monitoring pointStress single-point is initial)
(1) single measuring point stress value index (I is calculatedY)
Stress value index (IY) according to the real-time stress value of measuring point providing level Four value, wherein depth hole value interval is
Difference, value standard are adjustable parameter, and value is as follows:
| Grade | Blue | Yellow | It is orange | It is red |
| Default value (MPa) shallow bore hole | [0,8) | [8,10) | [10,13) | [13 ,+∞) |
| Default value (MPa) deep hole | [0,9) | [9,12) | [12,15) | [15 ,+∞) |
| Stress value index (IY) | 0 | 0.33 | 0.66 | 1 |
Note: each parameter value and parameter section can be reset according to practical application in upper table, and the present invention does not make this
It limits.
For example, two shallow bore hole pressure detection points " pressure detection point 1 ", " pressure detection points 2 ", current stress value be respectively 10Mpa,
11Mpa, then " pressure detection point 1 " stress value index is 0.66, and " pressure detection point 2 " stress value index is 0.33.
(2) single measuring point stress increasing value index (I is calculatedI)
Increasing value index (II) it is the standard for characterizing the increasing degree between current stress value and first dress value, increasing degree is got over
Greatly, the danger classes of characterization is higher, and value is as follows:
Growth factor=[(current stress value-just fills stress value)/just fill stress value] * 100%
| Grade | Blue | Yellow | It is orange | It is red |
| Growth factor | [- ∞, 50%) | [50%, 80%) | [80%, 100%) | [100 ,+∞) |
| Stress increasing value index (II) | 0 | 0.33 | 0.66 | 1 |
Note: each parameter value and parameter section can be reset according to practical application in upper table, and the present invention does not make this
It limits.
For example, it is 7Mpa that two shallow bore hole pressure detection points " pressure detection point 1 ", " pressure detection points 2 ", which just fill stress value, then two
The stress growth factor of measuring point is respectively 42.9%, 57.1%, then " pressure detection point 1 " increasing value index is 0, " pressure detection point 2 "
Increasing value index is 0.33.
(3) single measuring point stress speedup value index (I is calculatedG)
Single measuring point stress speedup value index (IG) it is the standard for characterizing stress value rapid growth degree in a short time, increase
Speed is faster, and the danger classes of characterization is higher, and calculating process is as follows:
1. whether differentiating current stress first firstly, influencing to evade the brings such as the repairing of crustal stress measuring point operation
Greater than critical value YIncrease critical(6MPa, adjustable parameter can be defaulted as), when less than YIncrease criticalWhen, which calculates without speedup index.
2. calculating rate of rise
Assuming that current time is t2, stress value Yt2, certain moment is t1, stress value Y beforet1, speedup rate:
Rate of rise=100% (Yt2-Yt1)/(Yt1(t2-t1))
In formula: being divided into 1 hour (i.e. t2-t1=1 hours), can adjust between default time
3. speedup value index (IG) default value and calculation method be as follows:
| Grade | Blue | Yellow | It is orange | It is red |
| Rate of rise | [- ∞, 10%) | [10%, 15%) | [15%, 30%) | [30% ,+∞) |
| Speedup value index (IG) | 0 | 0.33 | 0.66 | 1 |
Note: each parameter value and parameter section can be reset according to practical application in upper table, and the present invention does not make this
It limits.
For example, t2-t1 takes default value 1 hour, two shallow bore hole pressure detection points " pressure detection point 1 ", " pressure detection point 2 " 1 hour
Pervious stress value is respectively 9.5Mpa, 9Mpa, then the growth rate of two measuring points is respectively 5.3%, 22.2%, then " stress
1 " speedup value index of measuring point is 0, and " pressure detection point 2 " increasing value index is 0.66.
(4) the initial hazard index (I in stress in coal bed monitoring point is calculatedStress single-point is initial)
Calculate the initial hazard index (I in stress in coal bed monitoring pointStress single-point is initial), the stress value of stress list measuring point is calculated in real time, is increased
Three width, speedup indexs, and the weight coefficient K that feature defines three indexs respectively is shown according to regionStress 1~KStress 3(∑KStress i
=1, adjustable parameter), calculating process is as follows:
IStress single-point is initial=KStress 1*IY+KStress 2*II+KStress 3*IG
In formula: IYSingle measuring point stress value index, KStress 1Default value 0.5；IISingle measuring point stress increasing value index,
KStress 2Default value 0.2；IGSingle measuring point stress speedup value index, KStress 3Default value 0.3
For example, KStress 1~KStress 3Take default value, two shallow bore hole pressure detection points " pressure detection point 1 ", " pressure detection point 2 " it is initial
Hazard index (IStress single-point is initial):
IStress single-point initial 1=0.5*0.66+0.2*0+0.3*0=0.33
IStress single-point initial 2=0.5*0.33+0.2*0.33+0.3*0.66=0.43
2, the initial hazard index (I in microseismic event monitoring pointMicroseism single-point is initial)
The early warning in local danger area there are certain requirements micro seismic monitoring data age, and current time is taken to roll 24 hours
Microseismic event in (adjustable parameter) is as the basic data for participating in local early warning, according to microseismic event energy each in this period
Size determines each microseismic event monitoring point hazard index (IMicroseism single-point is initial) obtaining value method is as follows: that (energy is less than 103J's is micro-
Shake event is not involved in calculating)
| Index/grade | Blue | Yellow | It is orange | It is red |
| Energy section/J | [103, 104) | [104,105) | [105,106) | [106,+∞) |
| Microseismic event monitoring point hazard index (IMicroseism single-point is initial) | 0 | 0.33 | 0.66 | 1 |
Note: each parameter value and parameter section can be reset according to practical application in upper table, and the present invention does not make this
It limits.
For example, occurring " microseismic event 1 " energy in 24 hours is 1.2 × 104J, then its initial hazard index IMicroseism single-point initial 1It is right
0.33 (yellow) is taken according to upper table.Occurring " microseismic event 2 " energy in 24 hours is 1.2 × 103J, then its hazard index IMicroseism single-point initial 2
Table takes 0 (blue) in control.
3, the initial hazard index (I in drilling cuttings monitoring pointDrilling cuttings single-point is initial)
Current time is taken to roll basic data of the brill inspection result as the local early warning of participation in 24 hours (adjustable parameter),
Whether whether inspection data are dynamic shows and exceeded according to boring, and differentiates the initial hazard index (I in each drilling cuttings monitoring pointDrilling cuttings single-point is initial)
Value be as follows:
Note: each parameter value and parameter section can be reset according to practical application in upper table, and the present invention does not make this
It limits.
For example, in 24 hours, the feelings of a certain bits method monitoring point " construction hole 1 " appearance " dynamic show, coal dust is without exceeded "
Condition determines the initial hazard index I in the monitoring pointDrilling cuttings single-point initial 1It is 0.66.Another bits method monitoring point " construction hole 2 " appearance is " unpowered
Show, coal dust is without exceeded " the case where, determine the initial hazard index I in the monitoring pointDrilling cuttings single-point initial 2It is 0.
Step 3, the case where retrieving each other monitoring points of monitoring point periphery
It obtains using each monitoring point as center measuring point, in its radius to retrieve other monitorings within the scope of the sphere of r
The case where point.
It, can be according to the initial hazard index I in each monitoring point in specific retrievingSingle-point is initialDescending sequence carries out
Retrieval is retrieved to prevent the initial bigger monitoring point of hazard index in part preferred after missing inspection, or sequence.Radius is that r is
Empirical value, in the present embodiment, radius r value are 50 meters.
For example, the sequence of each initial hazard index in monitoring point are as follows:
" pressure detection point 2 ", drilling cuttings " construction hole 1 ", " pressure detection point 1 ", " microseism measuring point 1 ", " microseism measuring point 2 ", drilling cuttings " are applied
Work hole 2 ".
According to ranking results, the successively measuring point centered on each monitoring point, the case where retrieving other monitoring points result
It is as follows:
Step 4, the initial hazard index amendment in monitoring point
According to each center measuring point within the scope of the sphere that its radius is r, it is retrieved the initial danger of monitoring point
Index ISingle-point is initialTo the initial hazard index I of each center measuring pointSingle-point is initialIt is modified, the amendment for obtaining each center measuring point is dangerous
Index ISingle-point amendment。
Specifically, monitoring point distribution correction factor k is retrieved to eachi, the initial danger for being retrieved monitoring point refers to
Number ISingle-point is initialCorrection factor k that is higher, being assigned toiNumerical value it is bigger；The correction factor kiValue are as follows:
Note: each parameter value and parameter section can be reset according to practical application in upper table, and the present invention does not make this
It limits.
The amendment hazard index I of each center measuring pointSingle-point amendment=ISingle-point is initial*k1*k2*……*ki
Wherein, i is the quantity for being retrieved monitoring point, as the I being calculatedSingle-point amendmentWhen greater than 1, I is takenSingle-point amendmentEqual to 1.
For example, each revised amendment hazard index I of center measuring pointSingle-point amendmentAs a result are as follows:
Step 5, local danger zone position and danger classes are obtained
According to the amendment hazard index I of each center measuring pointSingle-point amendment, determine local danger area and danger classes.
Specifically, amendment hazard index I is chosenSingle-point amendmentThe maximum center measuring point of numerical value, the center measuring point radius are the ball of r
Body region is judged as local danger area, the amendment hazard index I of the center measuring pointSingle-point amendmentFor the danger etc. in the local danger area
Grade.It, can be first by the amendment hazard index I of all center measuring points for apparent, intuitive judgementSingle-point amendmentDescending row
Sequence determines the danger classes such as following table in local danger region.
| Danger classes | Blue | Yellow | It is orange | It is red |
| Correct hazard index ISingle-point amendment | [0,0.3) | [0.3,0.5) | [0.5,0.8) | [0.8,1] |
Note: each parameter value and parameter section can be reset according to practical application in upper table, and the present invention does not make this
It limits.
For example, to the amendment hazard index I of each monitoring pointSingle-point amendmentAs a result it is ranked up as follows:
In the 50m radius by upper list deciding with the center measuring point " pressure detection point 1 " of maximum modified hazard index
Sphere is local danger area, and the hazard index in local danger area is 0.74, has orange danger classes.
In the present invention, " adjustable parameter " refers to that each parameter illustrated in the embodiment of the present invention and parameter area can be according to
It is reset according to practical application, to these specific values and range, this is not construed as limiting the present invention.
In other embodiments, the monitoring data type of method for early warning foundation of the present invention can increase and decrease according to practical application
Or it drafts again.
Obviously, the above embodiments are merely examples for clarifying the description, and does not limit the embodiments.It is right
For those of ordinary skill in the art, can also make on the basis of the above description it is other it is various forms of variation or
It changes.There is no necessity and possibility to exhaust all the enbodiments.And it is extended from this it is obvious variation or
It changes still within the protection scope of the invention.
Claims (7)
1. knowledge method for early warning is sentenced in a kind of mine disaster many reference amounts local danger area characterized by comprising
Step 1, mine disaster monitoring point space orientation
In the same coordinate system, space orientation is carried out to each monitoring point of each monitoring and warning system；
Step 2, the initial hazard index I of each monitoring point is obtainedSingle-point is initial(0≤ISingle-point is initial≤1)；
Step 3, the case where retrieving each other monitoring points of monitoring point periphery
It obtains using each monitoring point as center measuring point, in its radius to retrieve other monitoring points within the scope of the sphere of r
Situation；
Step 4, the initial hazard index amendment in monitoring point
According to each center measuring point within the scope of the sphere that its radius is r, it is retrieved the initial hazard index of monitoring point
ISingle-point is initialTo the initial hazard index I of each center measuring pointSingle-point is initialIt is modified, obtains the amendment hazard index of each center measuring point
ISingle-point amendment；
Step 5, local danger zone position and danger classes are obtained
Choose amendment hazard index ISingle-point amendmentThe maximum center measuring point of numerical value, the center measuring point radius are that the sphere of r is determined
For local danger area, the amendment hazard index I of the center measuring pointSingle-point amendmentFor the danger classes in the local danger area.
2. knowledge method for early warning is sentenced in mine disaster many reference amounts local danger area according to claim 1, which is characterized in that described
In step 4, monitoring point distribution correction factor k is retrieved to eachi, it is retrieved the initial hazard index I of monitoring pointSingle-point is initial
Correction factor k that is higher, being assigned toiNumerical value it is bigger；
The amendment hazard index I of each center measuring pointSingle-point amendment=ISingle-point is initial*k1*k2*……*ki
Wherein, i is the quantity for being retrieved monitoring point, as the I being calculatedSingle-point amendmentWhen greater than 1, I is takenSingle-point amendmentEqual to 1.
3. knowledge method for early warning is sentenced in mine disaster many reference amounts local danger area according to claim 2, which is characterized in that described
Correction factor kiValue are as follows:
4. knowledge method for early warning is sentenced in mine disaster many reference amounts local danger area according to claim 3, which is characterized in that described
Step 2 is the corresponding monitoring data danger judgement threshold value of monitoring data proposition for different monitoring and warning systems, according to prison
Measured data danger judgement threshold value carries out threat level assessment to each monitoring point, obtains the normalized initial danger in each monitoring point and refers to
Number ISingle-point is initial。
5. knowledge method for early warning is sentenced in mine disaster many reference amounts local danger area according to claim 4, which is characterized in that described
According to the initial hazard index I in each monitoring point in step 3Single-point is initialDescending sequence, acquisition are surveyed centered on each monitoring point
The case where point, radius is retrieve other monitoring points within the scope of the sphere of r.
6. knowledge method for early warning is sentenced in mine disaster many reference amounts local danger area according to claim 5, which is characterized in that described
Radius r value is 50 meters in step 3.
7. knowledge method for early warning is sentenced in -6 any mine disaster many reference amounts local danger areas according to claim 1, feature exists
In each monitoring and warning system in the step 1 includes stress of coal seam monitoring system, Microseismic monitoring system, drilling cuttings method monitoring system
System, hydrologic monitoring system.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113759097A (en) * | 2021-09-07 | 2021-12-07 | 重庆大学 | Stress state analysis method based on coal mine tunnel surrounding rock stress online monitoring system |
| CN114233386A (en) * | 2021-12-09 | 2022-03-25 | 北京安科兴业矿山安全技术研究院有限公司 | Coal mine disaster early warning method based on multi-parameter risk identification database |
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