CN105653879A - Comprehensive noise filtering method for coal-mine-underground safety monitoring data - Google Patents

Abstract

The invention discloses a comprehensive noise filtering method for coal-mine-underground safety monitoring data. The comprehensive noise filtering method includes the steps that 1, adjustment or outage test data is obtained; 2, the linkage relationship among gas density sensors, wind speed sensors, draught-fan turning-on and turning-off sensors and power-source turning-on and turning-off sensors on the underground working face is determined, wherein the linked data formed in the five minutes from the time when a draught fan normally runs to the time after the gas density detected by the gas density sensors is lower than 1% is invalid data, and the linked data formed in the five minutes from the off time of the power-source turning-on and turning-off sensors to the time after the gas density detected by the gas density sensors is lower than 1% is invalid data; 3, the adjustment or outage test data in the step 1 and the invalid data in the step 2 are removed, effective monitoring data is obtained, and comprehensive data noise filtering is completed. According to the comprehensive noise filtering method, the invalid data such as the adjustment data of the sensors, the outage testing data, draught-fan turning-on and turning-off data and power-source turning-on and turning-off data is automatically filtered out through the linkage of the feature and association sensors for the gas monitoring data, and the gas monitoring data is effectively identified.

Description

Coal mine downhole safety monitoring aggregation of data filter method for de-noising

Technical field

The present invention relates to coal mine downhole safety field, be specifically related to a kind of coal mine downhole safety monitoring aggregation of data filter method for de-noising.

Background technology

The effective of downhole monitoring data is screened work also in the very original stage by current coal industry, only have part producer irrational data (rational gas density data are 0%-100%) have been carried out certain examination and filtered, the utilization of monitoring data is substantially absent from help, also have impact on the research of the following big data of coal mine gas. Still there is substantial amounts of invalid data within these rational gas density data of 0%-100%, it is necessary to utilize special method that it is effectively filtered, be always that monitoring data utilization in coal production process lays the foundation.

Summary of the invention

In consideration of it, the present invention provides a kind of coal mine underground monitoring aggregation of data filter method for de-noising.

It is an object of the invention to be realized by such technical scheme, coal mine downhole safety monitoring aggregation of data filter method for de-noising, comprise the steps:

Step 1), obtain adjustment or power-off test data;

Step 2), determine the interaction relation of mining face under mine gas concentration sensor, air velocity transducer, blower fan start-stop sensor, power supply start-stop sensor; Wherein, when blower fan run well the gas density that detects to gas concentration sensor lower than 1% after the associated data of five minutes periods be invalid data; It is invalid data that power supply start-stop sensor stops to the associated data of rear lower than the 1% five minutes periods of gas density that gas concentration sensor detects;

Step 3), removal step 1) in adjustment or power-off test data and step 2) in invalid data, it is thus achieved that effective monitoring data, complete aggregation of data filter and make an uproar.

Further, the acquisition methods of described adjustment or power-off test data includes following sub-step:

Step 11) obtain the gas density of underground safety monitoring, wind speed, blower fan start-stop, power supply start-stop data;

Step 12) determine whether gas density data belong to [x₁,x₂];

Step 13) determine step 12) in persistent period of gas density data whether belong to [t₁,t₂];

Step 14) determine step 13) in gas density data raising and lowering speed whether belong to [v_1,v₂];

Step 15) meet step 12), 13), 14), namely determine within this time period all [x₁,x₂] in data be adjustment or power-off test data.

Further, described determine mining face under mine gas concentration sensor, air velocity transducer, blower fan start-stop sensor, power supply start-stop sensor interaction relation specifically include following steps:

Step 21) determine the gas concentration sensor in blower fan start-stop sensor institute coverage, air velocity transducer;

Step 22) determine the blower fan start-stop sensor in power supply start-stop sensor institute coverage, gas concentration sensor, air velocity transducer;

Step 23) according to step 21), step 22), determine the interaction relation of mining face under mine gas concentration sensor, air velocity transducer, blower fan start-stop sensor, power supply start-stop sensor.

Further, step 12) in, whether described gas density data belong to [x₁,x₂], particularly as follows:

x-x₁��0(1)

x-x₂��0

The real-time gas density data of x, %;

x₁Sentence knowledge and start lower limit, %, be generally 0.6%��2%;

x₂Sentence knowledge and start higher limit, %, be generally 1%��2.5%.

Further, step 13) in, whether the persistent period of described gas density data belongs to [t₁,t₂], particularly as follows:

t_max-t_min-t₁��0(2)

t_max-t_min-t₂��0

t_maxGas data belong to [x₁,x₂] maximum time; S;

t_minGas data belong to [x₁,x₂] minimum time; S;

t₁Sentence knowledge and start lower limit, s;

t₂Sentence knowledge and start higher limit, %.

Further, step 14) in, described gas density data rise or fall that speed is no belongs to [v_1,v₂], particularly as follows:

x_i,max-x_i+1,min��v₁

x_j+1,max-x_j,min��v₂(3)

x_i,maxThe maximum of i-th minute gas density; %;

x_i+1,minThe minima of i+1 minute gas density; %;

x_j,minThe minima of jth minute gas density; %;

x_j+1,maxThe maximum of+1 minute gas density of jth; %;

v₁Rise or fall lower velocity limit value, %/min;

v₂Rise or fall speed limit value, %/min.

Further, the interaction relation of described face gas concentration sensor, air velocity transducer, blower fan start-stop sensor, power supply start-stop sensor;

$\{x_i=x_{i-1},v_i=v_{i-1}{|}_{F_{i,1}=0}\}$

$\{x_i=x_{i-1},v_i=v_{i-1},F_{i,1}=0{|}_{D_{i,1}=0}\}---\left(4\right)$

x_iIt is associated with F_i,1The gas density that detects for i-th minute of firedamp sensor, %;

x_i-1It is associated with F_i,1The gas density that detects for the i-th-1 minute of firedamp sensor, %;

v_iIt is associated with F_i,1The wind speed that detects for i-th minute of air velocity transducer, %;

v_i-1It is associated with F_i,1The wind speed that detects for the i-th-1 minute of air velocity transducer, %;

F_i,1It is associated with D_i,1I-th minute state of blower fan start-stop sensor, 0,1;

D_i,1I-th minute state of power supply start-stop sensor, 0,1.

Further, when blower fan run well the gas density that detects to gas concentration sensor lower than 1% after the associated data of five minutes periods be invalid data; Particularly as follows:

$\{x_i=x_{i-1},v_i=v_{i-1}{|}_{F_{i,1}=0\→1,i\≤5}\}$

$\{x_i=x_{i-1},v_i=v_{i-1},F_{,1}=0{|}_{D_{i,1}=0\→1,i\≤5}\}---\left(5\right)$

F_i,1=0 �� 1 blower fan start-stop sensor states is become 1 from 0, namely is become opening from stopping;

D_i,1=0 �� 1 power supply start-stop sensor states is become 1 from 0, namely is become opening from stopping.

Owing to have employed technique scheme, present invention have the advantage that:

The present invention utilizes the linkage of the feature of gas-monitoring data, associated sensor, automatically filters the invalid datas such as sensor adjustment, power-off test, blower fan start-stop, power supply start-stop, effective identification gas-monitoring data.

Accompanying drawing explanation

In order to make the object, technical solutions and advantages of the present invention clearly, below in conjunction with accompanying drawing, the present invention is described in further detail, wherein:

Fig. 1 is principles of the invention block diagram.

Detailed description of the invention

Below with reference to accompanying drawing, the preferred embodiments of the present invention are described in detail; Should be appreciated that preferred embodiment is only for illustrating the present invention, rather than in order to limit the scope of the invention.

A kind of coal mine underground monitoring aggregation of data filter method for de-noising, comprises the steps:

Step 1) obtain the gas of underground safety monitoring, wind speed, blower fan start-stop, power supply start-stop data;

Step 2) determine whether gas data belong to [x₁,x₂];

Step 3) determine that gas data belong to [x₁,x₂] whether the persistent period belong to [t₁,t₂];

Step 4) determine whether gas data raising and lowering speed belongs to [v_1,v₂];

Step 5) meet step 2,3,4, namely determine that (gas density belongs to [x from this time period₁,x₂] persistent period) in all [x₁,x₂] in data be adjustment or power-off test data;

Step 6) determine the gas in blower fan start-stop sensor institute coverage, air velocity transducer;

Step 7) determine the blower fan start-stop in power supply start-stop sensor institute coverage, gas, air velocity transducer;

Step 8) according to step 6,7 interaction relations determining mining face under mine gas, wind speed, blower fan start-stop, power supply start-stop sensor;

Step 9) to stop to the associated data that blower fan runs well to rear lower than 1% five minutes of firedamp sensor concentration period be invalid data to blower fan sensor;

Step 10) to stop to the associated data of rear lower than 1% five minutes of firedamp sensor concentration period be invalid data to power sensor;

Step 11) removing step 5,9,10 data after for effective monitoring data, complete aggregation of data filter and make an uproar.

Step 2) in, whether described gas data belong to [x₁,x₂] scope, particularly as follows:

x-x₁��0(1)

x-x₂��0

The real-time gas-monitoring data of x, %;

x₁Sentence knowledge and start lower limit, %, be generally 0.6%��2%;

x₂Sentence knowledge and start higher limit, %, be generally 1%��2.5%;

Step 3) in, described gas density data belong to [x₁,x₂] whether the persistent period belong to [t₁,t₂], particularly as follows:

t_max-t_min-t₁��0(2)

t_max-t_min-t₂��0

t_maxGas density data belong to [x₁,x₂] maximum time; S;

t_minGas density data belong to [x₁,x₂] minimum time; S;

t₁Sentence knowledge and start lower limit, s, be generally 0s;

t₂Sentence knowledge and start higher limit, %, be generally 300s;

Step 4) in, described gas density data rise or fall in 1 minute that speed is no belongs to [v_1,v₂], particularly as follows:

x_i,max-x_i+1,min��v₁

x_j+1,max-x_j,min��v₂(3)

x_i,maxThe maximum of i-th minute gas density; %;

x_i+1,minThe minima of i+1 minute gas density; %;

X_j,minThe minima of i-th minute gas density; %;

X_j+1,maxThe maximum of i+1 minute gas density; %;

v₁Rise or fall lower velocity limit value, %/min, be generally 0.6%/min;

v₂Rise or fall speed limit value, %/min, be generally 2.5%/min;

Step 5) meet step 2,3,4, namely determine within this time period all [x₁,x₂] in data be adjustment or power-off test data.

Step 6) in, it is determined that the firedamp sensor in blower fan start-stop sensor institute coverage, air velocity transducer; Step 7) determine the blower fan start-stop sensor in power supply start-stop sensor institute coverage, firedamp sensor, air velocity transducer; According to step 6), 7) determine the interaction relation of mining face under mine firedamp sensor, air velocity transducer, blower fan start-stop sensor, power supply start-stop sensor; According to step 9) to stop to the run well associated data of rear lower than the 1% five minutes periods of gas density detected to firedamp sensor of blower fan be invalid data to blower fan start-stop sensor; Particularly as follows:

$\{x_i=x_{i-1},v_i=v_{i-1}{|}_{F_{i,1}=0}\}$

$\{x_i=x_{i-1},v_i=v_{i-1},F_{i,1}=0{|}_{D_{i,1}=0}\}---\left(4\right)$

$\{x_i=x_{i-1},v_i=v_{i-1}{|}_{F_{i,1}=0\→1,i\≤5}\}$

$\{x_i=x_{i-1},v_i=v_{i-1},F_{i,1}=0{|}_{D_{i,1}=0\→1,i\≤5}\}---\left(5\right)$

x_iIt is associated with F_i,1The gas density that detects for i-th minute of firedamp sensor, %;

x_i-1It is associated with F_i,1The gas density that detects for the i-th-1 minute of firedamp sensor, %;

v_iIt is associated with F_i,1The wind speed that detects for i-th minute of air velocity transducer, %;

v_i-1It is associated with F_i,1The wind speed that detects for the i-th-1 minute of air velocity transducer, %;

F_i,1It is associated with D_i,1I-th minute state of blower fan start-stop sensor, 0,1;

D_i,1I-th minute state of power supply start-stop sensor, 0,1;

F_i,1=0 �� 1 blower fan start-stop sensor states is become 1 from 0, namely is become opening from stopping;

D_i,1=0 �� 1 power supply start-stop sensor states is become 1 from 0, namely is become opening from stopping.

Step 11) meet step 6), 7), 8), namely determine that all of data are invalid data within this time period.

The foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, it is clear that the present invention can be carried out various change and modification without deviating from the spirit and scope of the present invention by those skilled in the art. So, if these amendments of the present invention and modification belong within the scope of the claims in the present invention and equivalent technologies thereof, then the present invention is also intended to comprise these change and modification.

Claims (8)

1. coal mine downhole safety monitoring aggregation of data filter method for de-noising, it is characterised in that: comprise the steps:

Step 1), obtain adjustment or power-off test data;

Step 2), determine the interaction relation of mining face under mine gas concentration sensor, air velocity transducer, blower fan start-stop sensor, power supply start-stop sensor; Wherein, when blower fan run well the gas density that detects to gas concentration sensor lower than 1% after the associated data of five minutes periods be invalid data; It is invalid data that power supply start-stop sensor stops to the associated data of rear lower than the 1% five minutes periods of gas density that gas concentration sensor detects;

Step 3), removal step 1) in adjustment or power-off test data and step 2) in invalid data, it is thus achieved that effective monitoring data, complete aggregation of data filter and make an uproar.

2. coal mine downhole safety according to claim 1 monitoring aggregation of data filter method for de-noising, it is characterised in that: the acquisition methods of described adjustment or power-off test data includes following sub-step:

Step 11) obtain the gas density of underground safety monitoring, wind speed, blower fan start-stop, power supply start-stop data;

Step 12) determine whether gas density data belong to [x₁,x₂];

Step 13) determine step 12) in persistent period of gas density data whether belong to [t₁,t₂];

Step 14) determine step 13) in gas density data raising and lowering speed whether belong to [v_1,v₂];

Step 15) meet step 12), 13), 14), namely determine within this time period all [x₁,x₂] in data be adjustment or power-off test data.

3. coal mine downhole safety according to claim 1 monitoring aggregation of data filter method for de-noising, it is characterised in that: described determine mining face under mine gas concentration sensor, air velocity transducer, blower fan start-stop sensor, power supply start-stop sensor interaction relation specifically include following steps:

Step 21) determine the gas concentration sensor in blower fan start-stop sensor institute coverage, air velocity transducer;

Step 22) determine the blower fan start-stop sensor in power supply start-stop sensor institute coverage, gas concentration sensor, air velocity transducer;

Step 23) according to step 21), step 22), determine the interaction relation of mining face under mine gas concentration sensor, air velocity transducer, blower fan start-stop sensor, power supply start-stop sensor.

4. coal mine downhole safety according to claim 2 monitoring aggregation of data filter method for de-noising, it is characterised in that: step 12) in, whether described gas density data belong to [x₁,x₂], particularly as follows:

$\begin{array}{c}x-x_1\≥0\\ x-x_2\≤0\end{array}---\left(1\right)$

The real-time gas density data of x, %;

x₁Sentence knowledge and start lower limit, %, be generally 0.6%��2%;

x₂Sentence knowledge and start higher limit, %, be generally 1%��2.5%.

5. coal mine downhole safety according to claim 2 monitoring aggregation of data filter method for de-noising, it is characterised in that: step 13) in, whether the persistent period of described gas density data belongs to [t₁,t₂], particularly as follows:

$\begin{array}{c}{t}_{\max }-t_{\min }-t_1\≥0\\ t_{\max }-t_{\min }-t_2\≤0\end{array}---\left(2\right)$

t_maxGas data belong to [x₁,x₂] maximum time; S;

t_minGas data belong to [x₁,x₂] minimum time; S;

t₁Sentence knowledge and start lower limit, s;

t₂Sentence knowledge and start higher limit, %.

6. coal mine downhole safety according to claim 2 monitoring aggregation of data filter method for de-noising, it is characterised in that: step 14) in, described gas density data rise or fall that speed is no belongs to [v_1,v₂], particularly as follows:

$\begin{array}{c}{x}_{i,\max }-x_{i+1,\min }\≥v_1\\ x_{j+1,\max }-x_{j,\min }\≤v_2\end{array}---\left(3\right)$

x_i,maxThe maximum of i-th minute; %;

x_i+1,minThe minima of i+1 minute; %;

x_j,minThe minima of jth minute; %;

x_j+1,maxThe jth maximum of+1 minute; %;

v₁Rise or fall lower velocity limit value, %/min;

v₂Rise or fall speed limit value, %/min.

7. coal mine downhole safety according to claim 1 monitoring aggregation of data filter method for de-noising, it is characterised in that: described face gas concentration sensor, air velocity transducer, blower fan start-stop sensor, power supply start-stop sensor interaction relation;

$\begin{array}{c}\left\{x_i=x_{i-1},v_i=v_{i-1}{|}_{F_{i,1}=0}\right\}\\ \left\{x_i=x_{i-1},v_i=v_{i-1},F_{i,1}=0{|}_{D_{i,1}=0}\right\}\end{array}---\left(4\right)$

x_iIt is associated with F_i,1The gas density that detects for i-th minute of firedamp sensor, %;

x_i-1It is associated with F_i,1The gas density that detects for the i-th-1 minute of firedamp sensor, %;

v_iIt is associated with F_i,1The wind speed that detects for i-th minute of air velocity transducer, %;

v_i-1It is associated with F_i,1The wind speed that detects for the i-th-1 minute of air velocity transducer, %;

F_i,1It is associated with D_i,1I-th minute state of blower fan start-stop sensor, 0,1;

D_i,1I-th minute state of power supply start-stop sensor, 0,1.

8. coal mine downhole safety according to claim 7 monitoring aggregation of data filter method for de-noising, it is characterised in that: when blower fan run well the gas density that detects to gas concentration sensor lower than 1% after the associated data of five minutes periods be invalid data; Particularly as follows: $\begin{array}{c}\left\{x_i=x_{i-1},v_i=v_{i-1}{|}_{F_{i,1}=0\→1,i\≤5}\right\}\\ \left\{x_i=x_{i-1},v_i=v_{i-1},F_{i,1}=0{|}_{D_{i,1}=0\→1,i\≤5}\right\}\end{array}---\left(5\right)$

F_i,1=0 �� 1 blower fan start-stop sensor states is become 1 from 0, namely is become opening from stopping;

D_i,1=0 �� 1 power supply start-stop sensor states is become 1 from 0, namely is become opening from stopping.