CN111461456B - Method for early warning outburst danger based on gas monitoring data instantaneous change characteristics - Google Patents
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Abstract
The invention relates to a method for early warning outburst danger based on instantaneous change characteristics of gas monitoring data, and belongs to the technical field of coal mine safety. The method comprises the following steps: dividing the working face gas monitoring data into N shifts according to the underground operation time, and obtaining the average value of gas monitoring minutes; calculating the average value of the gas monitoring data of the ith shift and the moving average value of the gas monitoring data of the m shifts; acquiring instantaneous variable quantity of gas monitoring data in a shift time, and sequencing the instantaneous variable quantity; acquiring large instantaneous variation and small instantaneous variation of 1 st to 5 th flight gas monitoring data, performing addition/subtraction combination on the large instantaneous variation and the small instantaneous variation, and calculating instantaneous variation characteristic index V of the ith flight gas monitoring data i 、HV i When V is i 、HV i When the size is larger or increased, the gas burst abnormality, the gas increase or the coal and gas outburst danger exists on the working surface. The method can realize the analysis and prediction of gas emission abnormity and outburst danger, and has important significance for early warning of the gas disaster on the working face by using monitoring data.
Description
Technical Field
The invention belongs to the technical field of coal mine safety, and relates to a method for judging the gas emission abnormity or outburst danger of a working face by utilizing the instantaneous change characteristics and the trend of gas monitoring data under the condition of stable wind flow during coal mine working face coal dropping.
Background
Coal mines are very important energy sources and are generally divided into underground coal mines and open coal mines, and most coal mines in China belong to the underground coal mines. In recent years, along with the development of the coal mine industry in China, the economic growth is improved, and meanwhile, a plurality of problems are brought, wherein the safety problem is more and more widely concerned by people. Coal mine safety issues have been of central importance. The gas outburst means that a geological disaster caused by that a weak coal seam breaks through a resistance line under the action of ground stress and the gravity released by gas is formed in the coal seam along with the increase of the mining depth and the increase of the gas content of a coal mine, and a large amount of gas and coal are released instantly, a gas sensor is a sensor for monitoring the underground gas concentration all day long and uninterruptedly, and an acousto-optic alarm system is adopted, so that once the gas exceeds the standard, the system immediately reminds workers operating underground to evacuate urgently, the casualties are avoided, and the underground safety is very important.
At present, in order to prevent coal mine accidents, particularly gas accidents, a safety monitoring system is usually arranged in a coal mine underground construction area, a gas sensor is used for monitoring gas concentration change in real time, however, the gas sensor can only give an alarm for numerical values exceeding alarm or power-off values, and although the gas value change amount of some places can reach several times, the gas value change amount does not reach the alarm value, and advanced alarm cannot be given.
Therefore, it is urgently needed to develop a method for identifying abnormal change of underground coal mine gas, which can identify abnormal gas through the change rule of gas monitoring data, realize accurate gas early warning, and solve the harm caused by abnormal gas in safety production.
Disclosure of Invention
In view of the above, the present invention provides a method for warning outburst danger based on instantaneous change characteristics of gas monitoring data, which determines the gas outburst abnormality or outburst danger of a working face by using the instantaneous change characteristics and trends of the gas monitoring data under the condition of stable wind flow during coal dropping of a coal mine working face, and has a very important meaning for warning the gas disaster of the working face by using the monitoring data.
In order to achieve the purpose, the invention provides the following technical scheme:
a method for early warning of outburst danger based on gas monitoring data instantaneous change characteristics specifically comprises the following steps:
s1: dividing the working surface gas monitoring data into N shifts according to the underground operation time, and acquiring the j minute data mean value of the ith shift of gas monitoringx ij ；
S2: calculating the average value of the gas monitoring data of the ith shift
S3: calculating the moving average of gas monitoring data of m shifts
S4: acquiring instantaneous variable y of gas monitoring data in shift time i,j ；
S5: acquiring the instantaneous variation y of the ith shift gas monitoring data i,j Sorting;
s6: acquiring 1 st to 5 th large instantaneous variation y of ith shift gas monitoring data i,max1 、y i,max2 、……、y i,max5 ；
S7: acquiring 1 st to 5 th small instantaneous variation y of ith shift gas monitoring data i,min1 、y i,min2 、……、y i,min5 ；
S8: performing addition/subtraction combination on the calculation results of the steps S6-S7, and calculating the instantaneous change characteristic index V of the gas monitoring data of the ith shift i ；
S9: calculating characteristic index HV of relative instantaneous change of ith shift gas monitoring data i ；
S10: when V is i 、HV i When the size is larger or increased, the gas burst abnormality, the gas increase or the coal and gas outburst danger exists on the working surface.
Further, in step S3, the moving average of the gas monitoring data of m shifts
The calculation formula of (2) is as follows:
further, in step S4, the gas monitoring data is instantaneous within the shift timeAmount of change y i,j The calculation formula of (2) is as follows:
y i,j ＝x i,j -x i,j-1 (2)。
further, in step S6, the ith shift gas monitoring data has a large instantaneous variation y of 1 st to 5 th i,max1 、y i,max2 、……、y i,max5 The calculation formula of (2) is as follows:
y i,max1 ＝max{y i,1 ,y i,2 ,…,y i,j ,…,y i,M } (3)
y i,max2 ＝max{{y i,1 ,y i,2 ,…,y i,j ,…,y i,M }-{y i,max1 }} (4)
y i,max3 ＝max{{y i,1 ,y i,2 ,…,y i,j ,…,y i,M }-{y i,max1 ,y i,max2 }} (5)
y i,max4 ＝max{{y i,1 ,y i,2 ,…,y i,j ,…,y i,M }-{y i,max1 ,y i,max2 ,y i,max3 }} (6)
y i,max5 ＝max{{y i,1 ,y i,2 ,…,y i,j ,…,y i,M }-{y i,max1 ,y i,max2 ,y i,max3 ,y i,max4 }} (7)。
further, in step S7, the 1 st to 5 th instantaneous variation y of the ith shift gas monitoring data i,min1 、y i,min2 、……、y i,min5 The calculation formula of (2) is as follows:
y i,min1 ＝min{y i,1 ,y i,2 ,…,y i,j ,…,y i,M } (8)
y i,min2 ＝min{{y i,1 ,y i,2 ,…,y i,j ,…,y i,M }-{y i,min1 }} (9)
y i,min3 ＝min{{y i,1 ,y i,2 ,…,y i,j ,…,y i,M }-{y i,min1 ,y i,min2 }} (10)
y i,min4 ＝min{{y i,1 ,y i,2 ,…,y i,j ,…,y i,M }-{y i,min1 ,y i,min2 ,y i,min3 }} (11)
y i,min5 ＝min{{y i,1 ,y i,2 ,…,y i,j ,…,y i,M }-{y i,min1 ,y i,min2 ,y i,min3 ,y i,min4 }} (12)
where M represents the duration of each shift.
Further, in step S8, the characteristic index V of the instantaneous change of the ith shift gas monitoring data i The calculation formula of (2) is as follows:
V i,1 ＝y i,max1 (13)
V i,2 ＝y i,max1 +y i,max2 (14)
V i,3 ＝y i,max1 +y i,max2 +y i,max3 (15)
V i,4 ＝y i,max1 +y i,max2 +y i,max3 +y i,max4 (16)
V i,5 ＝y i,max1 +y i,max2 +y i,max3 +y i,max4 +y i,max5 (17)。
further, in the step S9, the characteristic index HV of the i-th shift gas monitoring data relative to the instantaneous change i The calculation formula of (2) is as follows:
the invention has the beneficial effects that: the method and the device utilize the instantaneous change characteristics of the gas monitoring data to realize the analysis and prediction of abnormal gas emission and outburst danger, and have very important significance for early warning of the gas disaster on the working face by utilizing the monitoring data.
Additional advantages, objects, and features of the invention will be set forth in part in the description which follows and in part will become apparent to those having ordinary skill in the art upon examination of the following or may be learned from practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims thereof.
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For the purposes of promoting a better understanding of the objects, aspects and advantages of the invention, reference will now be made to the following detailed description taken in conjunction with the accompanying drawings in which:
FIG. 1 is a schematic diagram of the method for identifying abnormal gas emission and outburst danger by using instantaneous characteristics of gas monitoring data according to the present invention;
FIG. 2 is a diagram of the actual projected prediction index of the working surface in the embodiment of the present invention.
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present invention in a schematic way, and the features in the following embodiments and examples may be combined with each other without conflict.
Referring to fig. 1 to 2, fig. 1 is a method for warning outburst danger based on instantaneous change characteristics of gas monitoring data, which specifically includes the following steps:
s1: dividing the working surface gas monitoring data into N shifts according to the downhole operation time, wherein the duration of each shift is 360 or 480 minutes, in the embodiment, 480 min is taken as an example, and the average value x of j data of the ith shift and j data of the gas monitoring is obtained ij ；
S2: calculating the average value of the gas monitoring data of the ith shift
S3: calculating the moving average of gas monitoring data of m shifts
m is generally between 30 and 60;
s4: acquiring instantaneous variable quantity y of gas monitoring data in shift time i,j ；
y i,j ＝x i,j -x i,j-1 (2)
S5: acquiring the instantaneous variation y of the ith shift gas monitoring data i,j Sorting;
s6: acquiring 1 st to 5 th large instantaneous variation y of ith shift gas monitoring data i,max1 、y i,max2 、……、y i,max5 ；
y i,max1 ＝max{y i,1 ,y i,2 ,…,y i,j ,…,y i,480 } (3)
y i,max2 ＝max{{y i,1 ,y i,2 ,…,y i,j ,…,y i,480 }-{y i,max1 }} (4)
y i,max3 ＝max{{y i,1 ,y i,2 ,…,y i,j ,…,y i,480 }-{y i,max1 ,y i,max2 }} (5)
y i,max4 ＝max{{y i,1 ,y i,2 ,…,y i,j ,…,y i,480 }-{y i,max1 ,y i,max2 ,y i,max3 }} (6)
y i,max5 ＝max{{y i,1 ,y i,2 ,…,y i,j ,…,y i,480 }-{y i,max1 ,y i,max2 ,y i,max3 ,y i,max4 }} (7)
S7: acquiring 1 st to 5 th small instantaneous variation y of ith shift gas monitoring data i,min1 、y i,min2 、……、y i,min5 ；
y i,min1 ＝min{y i,1 ,y i,2 ,…,y i,j ,…,y i,480 } (8)
y i,min2 ＝min{{y i,1 ,y i,2 ,…,y i,j ,…,y i,480 }-{y i,min1 }} (9)
y i,min3 ＝min{{y i,1 ,y i,2 ,…,y i,j ,…,y i,480 }-{y i,min1 ,y i,min2 }} (10)
y i,min4 ＝min{{y i,1 ,y i,2 ,…,y i,j ,…,y i,480 }-{y i,min1 ,y i,min2 ,y i,min3 }} (11)
y i,min5 ＝min{{y i,1 ,y i,2 ,…,y i,j ,…,y i,480 }-{y i,min1 ,y i,min2 ,y i,min3 ,y i,min4 }} (12)
S8: performing addition/subtraction combination on the calculation results of the steps S6-S7, and calculating the instantaneous change characteristic index V of the gas monitoring data of the ith shift i ；
V i,1 ＝y i,max1 (13)
V i,2 ＝y i,max1 +y i,max2 (14)
V i,3 ＝y i,max1 +y i,max2 +y i,max3 (15)
V i,4 ＝y i,max1 +y i,max2 +y i,max3 +y i,max4 (16)
V i,5 ＝y i,max1 +y i,max2 +y i,max3 +y i,max4 +y i,max5 (17)
……
S9: calculating characteristic index HV of relative instantaneous change of ith shift gas monitoring data i ；
S10: when V is i 、HV i When the size is larger or increased, the gas burst abnormality, the gas increase or the coal and gas outburst danger exists on the working surface.
The embodiment is as follows: as shown in fig. 2, the manual monitoring time is intercepted from 11/6/2019/0: 00-2020/1/202023: 59V on day 12 i 、HV i Index prediction coal and gas outburst danger effect diagram, as is obvious from figure 2, V i And HV i When the gas emission quantity is suddenly increased, the gas emission quantity on the working face is abnormal, and prediction and alarm are carried out.
Finally, the above embodiments are only intended to illustrate the technical solutions of the present invention and not to limit the present invention, and although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions, and all of them should be covered by the claims of the present invention.
Claims (5)
1. A method for early warning outburst danger based on gas monitoring data instantaneous change characteristics is characterized by comprising the following steps:
s1: dividing the working surface gas monitoring data into N shifts according to the underground operation time, and acquiring the j minute data mean value x of the ith shift of gas monitoring ij ；
S2: calculating the average value of the gas monitoring data of the ith shift
S3: calculating the moving average of gas monitoring data of m shifts
S4: acquiring instantaneous variable y of gas monitoring data in shift time i,j ；
S5: acquiring instantaneous variation y of ith shift gas monitoring data i,j Sorting;
s6: acquiring 1 st to 5 th large instantaneous variation y of ith shift gas monitoring data i,max1 、y i,max2 、……、y i,max5 The calculation formula is as follows:
y i,max1 ＝max{y i,1 ,y i,2 ,···,y i,j ,···,y i,M } (1)
y i,max2 ＝max{{y i,1 ,y i,2 ,···,y i,j ,···,y i,M }-{y i,max1 }} (2)
y i,max3 ＝max{{y i,1 ,y i,2 ,···,y i,j ,···,y i,M }-{y i,max1 ,y i,max2 }} (3)
y i,max4 ＝max{{y i,1 ,y i,2 ,···,y i,j ,···,y i,M }-{y i,max1 ,y i,max2 ,y i,max3 }} (4)
y i,max5 ＝max{{y i,1 ,y i,2 ,···,y i,j ,···,y i,M }-{y i,max1 ,y i,max2 ,y i,max3 ,y i,max4 }} (5)
s7: acquiring 1 st to 5 th small instantaneous variation y of ith shift gas monitoring data i,min1 、y i,min2 、……、y i,min5 The calculation formula is as follows:
y i,min1 ＝min{y i,1 ,y i,2 ,···,y i,j ,···,y i,M } (6)
y i,min2 ＝min{{y i,1 ,y i,2 ,···,y i,j ,···,y i,M }-{y i,min1 }} (7)
y i,min3 ＝min{{y i,1 ,y i,2 ,···,y i,j ,···,y i,M }-{y i,min1 ,y i,min2 }} (8)
y i,min4 ＝min{{y i,1 ,y i,2 ,···,y i,j ,···,y i,M }-{y i,min1 ,y i,min2 ,y i,min3 }} (9)
y i,min5 ＝min{{y i,1 ,y i,2 ,···,y i,j ,···,y i,M }-{y i,min1 ,y i,min2 ,y i,min3 ,y i,min4 }} (10)
wherein M represents the duration of each shift;
s8: performing addition/subtraction combination on the calculation results of the steps S6-S7, and calculating the ith shiftGas monitoring data instantaneous change characteristic index V i ；
S9: calculating characteristic index HV of relative instantaneous change of ith shift gas monitoring data i ；
S10: when V is i 、HV i When the gas is increased, the gas burst is abnormal, the gas is increased or the coal and gas outburst danger exists on the working surface.
2. The method for warning of outburst danger based on gas monitoring data transient variation characteristics according to claim 1, wherein in the step S3, the moving average of m shifts of gas monitoring data is
The calculation formula of (2) is as follows:
3. the method for warning the outburst danger based on the transient variation characteristics of the gas monitoring data as claimed in claim 1, wherein in the step S4, the transient variation y of the gas monitoring data in the shift time is i,j The calculation formula of (2) is as follows:
y i,j ＝x i,j -x i,j-1 (12)。
4. the method for warning outburst danger based on instantaneous change characteristics of gas monitoring data according to claim 1, wherein in the step S8, the ith shift gas monitoring data instantaneous change characteristic index V i The calculation formula of (2) is as follows:
V i,1 ＝y i,max1 (13)
V i,2 ＝y i,max1 +y i,max2 (14)
V i,3 ＝y i,max1 +y i,max2 +y i,max3 (15)
V i,4 ＝y i,max1 +y i,max2 +y i,max3 +y i,max4 (16)
V i,5 ＝y i,max1 +y i,max2 +y i,max3 +y i,max4 +y i,max5 (17)。
5. the method for early warning of outburst danger based on gas monitoring data transient variation characteristic as claimed in claim 1, wherein in the step S9, the ith shift gas monitoring data relative transient variation characteristic index HV i The calculation formula of (2) is as follows:
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