CN113758892A - Coal mine production data screening method based on big data analysis - Google Patents
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- 238000007405 data analysis Methods 0.000 title claims abstract description 41
- 239000003245 coal Substances 0.000 title claims abstract description 32
- 238000000034 method Methods 0.000 title claims abstract description 20
- 238000004519 manufacturing process Methods 0.000 title claims abstract description 19
- 238000012216 screening Methods 0.000 title claims abstract description 19
- 229910002091 carbon monoxide Inorganic materials 0.000 claims abstract description 138
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 claims abstract description 136
- 238000004868 gas analysis Methods 0.000 claims abstract description 11
- 239000007789 gas Substances 0.000 claims description 71
- 239000003570 air Substances 0.000 claims description 55
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- 230000004044 response Effects 0.000 claims description 13
- 230000003197 catalytic effect Effects 0.000 claims description 10
- 238000010521 absorption reaction Methods 0.000 claims description 9
- 230000003647 oxidation Effects 0.000 claims description 7
- 238000007254 oxidation reaction Methods 0.000 claims description 7
- IJGRMHOSHXDMSA-UHFFFAOYSA-N Atomic nitrogen Chemical compound N#N IJGRMHOSHXDMSA-UHFFFAOYSA-N 0.000 claims description 6
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 claims description 6
- 239000012159 carrier gas Substances 0.000 claims description 6
- 238000004020 luminiscence type Methods 0.000 claims description 6
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 claims description 6
- 238000012544 monitoring process Methods 0.000 claims description 6
- 230000008569 process Effects 0.000 claims description 5
- UXVMQQNJUSDDNG-UHFFFAOYSA-L Calcium chloride Chemical compound [Cl-].[Cl-].[Ca+2] UXVMQQNJUSDDNG-UHFFFAOYSA-L 0.000 claims description 3
- VYPSYNLAJGMNEJ-UHFFFAOYSA-N Silicium dioxide Chemical compound O=[Si]=O VYPSYNLAJGMNEJ-UHFFFAOYSA-N 0.000 claims description 3
- 239000012080 ambient air Substances 0.000 claims description 3
- 238000004364 calculation method Methods 0.000 claims description 3
- 229910002092 carbon dioxide Inorganic materials 0.000 claims description 3
- 239000001569 carbon dioxide Substances 0.000 claims description 3
- 238000010924 continuous production Methods 0.000 claims description 3
- 238000001035 drying Methods 0.000 claims description 3
- 230000008030 elimination Effects 0.000 claims description 3
- 238000003379 elimination reaction Methods 0.000 claims description 3
- 238000002347 injection Methods 0.000 claims description 3
- 239000007924 injection Substances 0.000 claims description 3
- 238000012417 linear regression Methods 0.000 claims description 3
- 229910052757 nitrogen Inorganic materials 0.000 claims description 3
- 230000003287 optical effect Effects 0.000 claims description 3
- JMANVNJQNLATNU-UHFFFAOYSA-N oxalonitrile Chemical compound N#CC#N JMANVNJQNLATNU-UHFFFAOYSA-N 0.000 claims description 3
- 238000012545 processing Methods 0.000 claims description 3
- 238000005086 pumping Methods 0.000 claims description 3
- 239000011540 sensing material Substances 0.000 claims description 3
- 239000000741 silica gel Substances 0.000 claims description 3
- 229910002027 silica gel Inorganic materials 0.000 claims description 3
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Chemical compound O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 3
- 230000036541 health Effects 0.000 abstract description 3
- 231100000572 poisoning Toxicity 0.000 description 4
- 230000000607 poisoning effect Effects 0.000 description 4
- 239000000243 solution Substances 0.000 description 3
- 238000009434 installation Methods 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 238000005065 mining Methods 0.000 description 2
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 1
- RHZUVFJBSILHOK-UHFFFAOYSA-N anthracen-1-ylmethanolate Chemical compound C1=CC=C2C=C3C(C[O-])=CC=CC3=CC2=C1 RHZUVFJBSILHOK-UHFFFAOYSA-N 0.000 description 1
- 239000003830 anthracite Substances 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000002802 bituminous coal Substances 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000002309 gasification Methods 0.000 description 1
- 229910002804 graphite Inorganic materials 0.000 description 1
- 239000010439 graphite Substances 0.000 description 1
- 230000002045 lasting effect Effects 0.000 description 1
- 239000003077 lignite Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000003415 peat Substances 0.000 description 1
- 239000011435 rock Substances 0.000 description 1
- 239000002689 soil Substances 0.000 description 1
- 239000004449 solid propellant Substances 0.000 description 1
- 210000003437 trachea Anatomy 0.000 description 1
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Abstract
The invention discloses coal mine production data screening equipment based on big data analysis, which comprises a carbon monoxide non-spectroscopic infrared gas analyzer, a carbon monoxide sensor and big data analysis equipment, wherein the carbon monoxide non-spectroscopic infrared gas analyzer comprises: the carbon monoxide non-spectroscopic infrared gas analyzer and the carbon monoxide sensor are fixedly arranged on the wall in the mine. According to the invention, the content of carbon monoxide in the mine is detected simultaneously by adopting a non-spectroscopic infrared gas analysis method and matching with a carbon monoxide sensor, so that the content of carbon monoxide can be detected more accurately, the content of carbon monoxide is controlled within a safe range by comparing big data, and the carbon monoxide non-spectroscopic infrared gas analyzer and the carbon monoxide sensor are arranged in the mine, so that the content of carbon monoxide in the mine can be detected in real time, the working environment in the mine is ensured constantly, and the physical health of workers is ensured.
Description
Technical Field
The invention belongs to the technical field of coal mine production, and particularly relates to a coal mine production data screening method based on big data analysis.
Background
When the coal layer is far from the ground surface, the coal layer is generally selected to dig a tunnel to the underground, which is a minery coal mine, and when the distance between the coal layer and the ground surface is very close, the coal layer is generally selected to dig the coal by directly stripping the surface soil layer, which is an open-pit coal mine, the coal is the most main solid fuel and is one of combustible organic rocks, and can be divided into four types of peat, lignite, bituminous coal and anthracite according to the coal gasification degree.
The traditional coal mine production data screening method has the following defects:
one, in the production process in colliery, contain the carbon monoxide gas in the air in the colliery, this kind of gas is harmful to human health, consequently in the mining process that lasts, will carry out real-time monitoring to the carbon monoxide content in the mine, traditional monitoring mode is only artifical handheld instrument and enters into the mine and detect, alright work in order to go on after qualified, do not have lasting or intermittent type nature to detect, consequently in subsequent work, the carbon monoxide content in the mine probably can rise, takes place the poisoning accident easily.
Two, traditional detection mode has also only carried out the simple detection of single, does not compare with big data, only detect carbon monoxide content at reasonable within range can, but the staff is after long-time the inhaling, still can the poisoning accident appear, consequently the detection data is not accurate enough, and the analysis is compared and is not accurate enough.
Disclosure of Invention
The invention aims to provide a coal mine production data screening method based on big data analysis, which aims to solve the problem that in the coal mine production process, the air in a coal mine contains carbon monoxide gas which is harmful to human bodies, so that in the continuous mining process, the carbon monoxide content in the mine needs to be monitored in real time, the traditional monitoring mode only comprises the step that an instrument is manually held into the mine to detect, the coal mine can work after being qualified, and continuous or intermittent detection is not performed, so that in the subsequent work, the carbon monoxide content in the mine is likely to rise, poisoning accidents are likely to occur, the traditional detection mode only carries out single simple detection, comparison with big data is not carried out, only the carbon monoxide content is detected within a reasonable range, but after a worker inhales for a long time, still can appear the poisoning accident, consequently detect data inaccurate enough, the analysis compares not accurate enough technical problem.
The technical scheme for solving the technical problems is as follows: the utility model provides a coal mine production data screening installation based on big data analysis, includes that carbon monoxide does not divide light infrared ray gas analysis appearance, carbon monoxide sensor and big data analysis equipment: the carbon monoxide non-spectroscopic infrared gas analyzer and the carbon monoxide sensor are fixedly arranged on the wall in the mine, the big data analysis equipment is arranged on an office desk in an office, the carbon monoxide sensor is electrically connected with the big data analysis equipment through a data line I, the carbon monoxide non-spectroscopic infrared gas analyzer is electrically connected with the big data analysis equipment through a data line II, an automatic air inlet is arranged on one side of the top of the carbon monoxide non-spectroscopic infrared gas analyzer, one side of the automatic air inlet is communicated with a connecting air pipe, one end of the connecting air pipe is communicated with the carbon monoxide sensor, two display screens are arranged on the inclined plane of the surface of the carbon monoxide non-spectroscopic infrared gas analyzer, an indicating meter is arranged on the display surface of the display screen, and a sleeve is inserted into the top of the automatic air inlet.
Preferably, an equipment support is fixedly mounted on the rear side of the big data analysis equipment, a balance block is fixedly mounted at the bottom of the equipment support, and the balance block is placed on the desktop.
Preferably, the top of the carbon monoxide non-light-splitting infrared gas analyzer is provided with a mounting groove, and a handheld handle is detachably mounted inside the mounting groove.
Preferably, the left side of the carbon monoxide non-spectroscopic infrared gas analyzer is provided with a power switch, and the inclined plane of the surface of the carbon monoxide non-spectroscopic infrared gas analyzer is provided with two groups of control knobs which are respectively positioned below the two display screens.
Preferably, the output end of the carbon monoxide non-spectroscopic infrared gas analyzer is electrically connected with the end of the second data line, and the end of the second data line is electrically connected with the input end of the big data analysis equipment.
Preferably, the output end of the carbon monoxide sensor is electrically connected with the end of the first data line, and the end of the first data line is electrically connected with the input end of the big data analysis equipment.
The screening method comprises the following steps:
firstly, adopting a non-spectroscopic infrared gas analysis method: because carbon monoxide has selective absorption to the non-spectroscopic infrared rays, the absorption value and the carbon monoxide concentration are in a linear relation in a certain range, and the concentration of the carbon monoxide in the sample is determined according to the absorption value;
firstly, preparing a carbon monoxide non-light-splitting infrared gas analyzer and starting zero calibration, wherein after the analyzer is switched on and stabilized for 30min-1h, high-purity nitrogen or air enters an air inlet of the analyzer through a hopcalite oxidation tube and a drying tube to carry out zero calibration;
and step two, end point calibration, namely, carbon monoxide standard gas (such as 30ppm) enters an instrument sample inlet to carry out end point scale calibration.
Step three, zero point and end point calibration are repeated for 2-3 times, so that the instrument is in a normal working state;
step four, sample determination:
connecting a sleeve for collecting an air sample to an automatic air inlet on a carbon monoxide non-spectroscopic infrared gas analyzer of an analyzer filled with allochroic silica gel or anhydrous calcium chloride, automatically pumping the sample into an air chamber, and indicating the concentration (ppm) of carbon monoxide by an indicator so as to determine the concentration of carbon monoxide in the air on site and monitor the concentration of carbon monoxide in the air for a long time; then the monitoring data is uploaded to a big data analysis device to form a record table and record on the record table,
step five, the calculation result is as follows:
the volume concentration ppm of carbon monoxide is converted into mass concentration mg/m in a standard state according to the following formula3；
mg/m3＝ppm/B*28；
In the formula: b- -gas molar volume at standard conditions;
when 0 ℃ (101kpa), B ═ 22.41;
when 25 ℃ (101kpa), B ═ 24.46;
at this point, 28- -carbon monoxide molecular weight;
it should be noted that, 1) the measurement ranges are as follows:
0 to 30 ppm; 0-100 ppm two grades;
2) detecting a lower limit;
the lowest detection concentration is 0.1 ppm;
3) interference and elimination;
the non-to-be-detected components in the ambient air, such as methane, carbon dioxide, water vapor and the like, can influence the determination result, but the tandem infrared detector can mostly eliminate the interference of the non-to-be-detected components;
4) the repeatability is less than 1 percent, and the drift time 4h is less than 4 percent;
5) accuracy depends on the uncertainty of the standard gas (less than 2%) and the stability error of the instrument (less than 4%).
And step six, simultaneously, adopting an analysis method which is catalytic luminescence sensing analysis, stably introducing carbon monoxide gas into the carbon monoxide sensor by using air as carrier gas, and recording chemiluminescence signals with different concentrations.
The specific analysis process of the sensor is as follows: when air enters from the automatic air inlet, detection gas enters the carbon monoxide sensor through the connecting air pipe for detection, 30 mu L of carbon monoxide gas is injected into the carbon monoxide sensor, the wavelength of the optical filter is 460nm, the flow rate of air carrier gas is 100mL/min, and the catalytic oxidation temperature is 187 ℃, the detection signal of the functionalized graphite-phase carbon nitride sensing material responding to the carbon monoxide gas is the highest, so that the detection under the condition is the optimal condition, the response and linearity of the catalytic luminescence analysis method to the carbon monoxide gas are researched under the optimal condition, and different carbon monoxide gas response signals are obtained when the injection amount of the carbon monoxide gas is 5 mu L-500 mu L; according to the proportional relation between the concentration and the response signal, the linear relation between the concentration of the carbon monoxide gas and the response signal is obtained, and the detection limit of the carbon monoxide gas is calculated to be 6 ppm.
And step seven, changing the chemiluminescence signal into a data signal and transmitting the data signal to central control equipment, performing quantitative detection on the carbon monoxide gas by adopting linear regression analysis, displaying the data visually in front of a worker by the central control equipment through a display screen, comparing the data with big data, and enabling the underground environment of the coal mine to be unsatisfied with continuous production conditions so as to facilitate the analysis and processing of the worker.
1. The invention has the beneficial effects that: according to the invention, the content of carbon monoxide in the mine is detected simultaneously by adopting a non-spectroscopic infrared gas analysis method and matching with a carbon monoxide sensor, so that the content of carbon monoxide can be detected more accurately, the content of carbon monoxide is controlled within a safe range by big data comparison, and the carbon monoxide non-spectroscopic infrared gas analyzer and the carbon monoxide sensor are arranged in the mine, so that the content of carbon monoxide in the mine can be detected in real time, the working environment in the mine is ensured constantly, and the physical health of workers is ensured.
Drawings
The above and/or other advantages of the invention will become more apparent and more readily appreciated from the following detailed description taken in conjunction with the accompanying drawings, which are given by way of illustration only and not by way of limitation, and in which:
FIG. 1 is a graph illustrating the linear relationship between CO gas concentration and CTL response signal at a sensing device according to one embodiment of the present invention;
FIG. 2 is a front perspective view of an apparatus configuration according to an embodiment of the present invention;
FIG. 3 is a rear perspective view of an apparatus configuration according to an embodiment of the present invention;
in the drawings, the components represented by the respective reference numerals are listed below:
1. carbon monoxide does not divide light infrared gas analysis appearance, 2, carbon monoxide sensor, 3, big data analysis equipment, 4, automatic air inlet, 5, sleeve pipe, 6, connect the trachea, 7, data line one, 8, data line two, 9, equipment support, 10, mounting groove, 11, handheld handle, 12, switch, 13, display screen, 14, instruction table, 15, control knob.
Detailed Description
Hereinafter, an embodiment of the coal mine production data screening method based on big data analysis of the present invention will be described with reference to the accompanying drawings.
The examples described herein are specific embodiments of the present invention, are intended to be illustrative and exemplary in nature, and are not to be construed as limiting the scope of the invention. In addition to the embodiments described herein, those skilled in the art will be able to employ other technical solutions which are obvious based on the disclosure of the claims and the specification of the present application, and these technical solutions include technical solutions which make any obvious replacement or modification for the embodiments described herein.
The drawings in the present specification are schematic views to assist in explaining the concept of the present invention, and schematically show the shapes of respective portions and their mutual relationships. It is noted that the drawings are not necessarily to the same scale so as to clearly illustrate the structures of the various elements of the embodiments of the invention. Like reference numerals are used to denote like parts.
Fig. 1 to 3 show a coal mine production data screening apparatus based on big data analysis according to an embodiment of the present invention, which includes a carbon monoxide non-spectroscopic infrared gas analyzer 1, a carbon monoxide sensor 2, and a big data analysis apparatus 3: the carbon monoxide non-spectroscopic infrared gas analyzer 1 and the carbon monoxide sensor 2 are fixedly installed on a wall in a mine, the big data analysis equipment 3 is arranged on an office table in the office, the carbon monoxide sensor 2 and the big data analysis equipment 3 are electrically connected through a first data line 7, the carbon monoxide non-spectroscopic infrared gas analyzer 1 and the big data analysis equipment 3 are electrically connected through a second data line 8, an automatic air inlet 4 is arranged at one side of the top of the carbon monoxide non-spectroscopic infrared gas analyzer 1, a connecting air pipe 6 is communicated with one side of the automatic air inlet 4, one end of the connecting air pipe 6 is communicated with the carbon monoxide sensor 2, two display screens 13 are arranged on the inclined plane of the surface of the carbon monoxide non-spectroscopic infrared gas analyzer 1, an indicating meter 14 is arranged on the display surface of each display screen 13, and a sleeve 5 is inserted at the top of each automatic air inlet 4, big data analysis equipment 3's rear side fixed mounting has equipment support 9, equipment support 9's bottom fixed mounting has the balancing piece, the balancing piece is placed on the desktop, mounting groove 10 has been seted up at carbon monoxide non-dispersive infrared ray gas analysis appearance 1's top, the inside demountable installation of mounting groove 10 has handheld handle 11, carbon monoxide non-dispersive infrared ray gas analysis appearance 1's left side is provided with switch 12, be provided with two sets of control knob 15 that are located two display screens 13 below respectively on the inclined plane on carbon monoxide non-dispersive infrared ray gas analysis appearance 1 surface, carbon monoxide non-dispersive infrared ray gas analysis appearance 1's output and data line two 8's tip electric connection, data line two 8's tip and big data analysis equipment 3's input electric connection, carbon monoxide sensor 2's output and data line one 7's tip electric connection, data line one 7's tip and big data analysis equipment 3's input electric connection.
The screening method comprises the following steps:
firstly, adopting a non-spectroscopic infrared gas analysis method: because carbon monoxide has selective absorption to the non-spectroscopic infrared rays, the absorption value and the carbon monoxide concentration are in a linear relation in a certain range, and the concentration of the carbon monoxide in the sample is determined according to the absorption value;
step one, preparing a carbon monoxide non-light splitting infrared gas analyzer 1 and starting zero calibration, wherein after the analyzer is switched on and stabilized for 30min-1h, high-purity nitrogen or air enters an air inlet of the analyzer through a hopcalite oxidation tube and a drying tube to carry out zero calibration;
and step two, end point calibration, namely, carbon monoxide standard gas such as 30ppm enters an instrument sample inlet to carry out end point scale calibration.
Step three, zero point and end point calibration are repeated for 2-3 times, so that the instrument is in a normal working state;
step four, sample determination:
connecting a sleeve 5 for collecting an air sample to an automatic air inlet 4 on a carbon monoxide non-spectroscopic infrared gas analyzer 1 of an analyzer filled with allochroic silica gel or anhydrous calcium chloride, automatically pumping the sample into an air chamber, and indicating the concentration (ppm) of carbon monoxide by an indicator table 14, so as to determine the concentration of carbon monoxide in the air on site and monitor the concentration of carbon monoxide in the air for a long time; then the monitoring data is uploaded to a big data analysis device 3 to form a record table record,
step five, the calculation result is as follows:
the volume concentration ppm of carbon monoxide is converted into mass concentration mg/m in a standard state according to the following formula3；
mg/m3＝ppm/B*28；
In the formula: b- -gas molar volume at standard conditions;
when 0 ℃ is 101kpa, B is 22.41;
when 25 ℃ is 101kpa, B is 24.46;
at this point, 28- -carbon monoxide molecular weight;
it should be noted that, 1, the measurement range is as follows:
0 to 30 ppm; 0-100 ppm two grades;
2, detecting a lower limit;
the lowest detection concentration is 0.1 ppm;
3, interference and elimination;
the non-to-be-detected components in the ambient air, such as methane, carbon dioxide, water vapor and the like, can influence the determination result, but the tandem infrared detector can mostly eliminate the interference of the non-to-be-detected components;
4, the repeatability is less than 1 percent, and the drift 4h is less than 4 percent;
5 accuracy depends on uncertainty of less than 2% for standard gas and less than 4% for instrument stability error).
The main performance criteria of the instrument used are as follows:
and step six, simultaneously, adopting an analysis method as catalytic luminescence sensing analysis, stably introducing carbon monoxide gas into the carbon monoxide sensor 2 by using air as carrier gas, and recording chemiluminescence signals of different concentrations.
The specific analysis process of the sensor is as follows: when the automatic air inlet 4 admits air, the detection gas can also enter the carbon monoxide sensor 2 through the connecting air pipe 6 for detection, 30 mu L of carbon monoxide gas is injected into the carbon monoxide sensor 2, the wavelength of the optical filter is 460nm, the flow rate of the air carrier gas is 100mL/min, and the catalytic oxidation temperature is 187 ℃, the detection signal of the functionalized graphite phase carbon nitride sensing material responding to the carbon monoxide gas is the highest, so the detection under the condition is taken as the optimal condition, the response and the linearity of the catalytic luminescence analysis method to the carbon monoxide gas are researched under the optimal condition, and different carbon monoxide gas response signals are obtained when the injection amount of the carbon monoxide gas is 5 mu L-500 mu L; from the relationship of the concentration in direct proportion to the response signal, a linear relationship (as shown in fig. 3) of the carbon monoxide gas concentration and the response signal was obtained, and the detection limit of the carbon monoxide gas was calculated to be 6 ppm.
| Sample volume | 30μL |
| Wavelength of filter | 460nm |
| Air carrier flow velocity | 100mL/min |
| Temperature of catalytic oxidation | 187℃ |
And step seven, changing the chemiluminescence signal into a data signal and transmitting the data signal to central control equipment, performing quantitative detection on the carbon monoxide gas by adopting linear regression analysis, displaying the data visually in front of a worker by the central control equipment through a display screen, comparing the data with big data, and enabling the underground environment of the coal mine to be unsatisfied with continuous production conditions so as to facilitate the analysis and processing of the worker.
The technical features disclosed above are not limited to the combinations with other features disclosed, and other combinations between the technical features can be performed by those skilled in the art according to the purpose of the invention, so as to achieve the purpose of the invention.
Claims (7)
1. The coal mine production data screening device based on big data analysis is characterized by comprising a carbon monoxide non-spectroscopic infrared gas analyzer (1), a carbon monoxide sensor (2) and a big data analysis device (3): the carbon monoxide non-light-splitting infrared gas analyzer (1) and the carbon monoxide sensor (2) are fixedly installed on a wall in a mine, the big data analysis equipment (3) is arranged on an office table in an office, the carbon monoxide sensor (2) and the big data analysis equipment (3) are electrically connected through a data line I (7), the carbon monoxide non-light-splitting infrared gas analyzer (1) and the big data analysis equipment (3) are electrically connected through a data line II (8), one side of the top of the carbon monoxide non-light-splitting infrared gas analyzer (1) is provided with an automatic air inlet (4), one side of the automatic air inlet (4) is communicated with a connecting air pipe (6), one end of the connecting air pipe (6) is communicated with the carbon monoxide sensor (2), and two display screens (13) are arranged on an inclined plane on the surface of the carbon monoxide non-light-splitting infrared gas analyzer (1), an indicating meter (14) is arranged on the display surface of the display screen (13), and a sleeve (5) is inserted into the top of the automatic air inlet (4).
2. The coal mine production data screening device based on big data analysis according to claim 1, characterized in that, the rear side of the big data analysis device (3) is fixedly provided with a device bracket (9), the bottom of the device bracket (9) is fixedly provided with a balance weight, and the balance weight is placed on a table top.
3. The coal mine production data screening device based on big data analysis according to claim 2, characterized in that a mounting groove (10) is formed at the top of the carbon monoxide non-dispersive infrared gas analyzer (1), and a handheld handle (11) is detachably mounted inside the mounting groove (10).
4. The coal mine production data screening device based on big data analysis according to claim 3, characterized in that a power switch (12) is arranged on the left side of the carbon monoxide non-dispersive infrared gas analyzer (1), and two groups of control knobs (15) are arranged on the inclined surface of the carbon monoxide non-dispersive infrared gas analyzer (1) and are respectively positioned below the two display screens (13).
5. The coal mine production data screening device based on big data analysis according to claim 4, characterized in that the output end of the CO non-spectroscopic infrared gas analyzer (1) is electrically connected with the end of the second data line (8), and the end of the second data line (8) is electrically connected with the input end of the big data analysis device (3).
6. A coal mine production data screening device based on big data analysis according to claim 5, characterized in that the output end of the carbon monoxide sensor (2) is electrically connected with the end of the data line I (7), and the end of the data line I (7) is electrically connected with the input end of the big data analysis device (3).
7. A coal mine production data screening method based on big data analysis according to claims 1-6, characterized in that the screening method is as follows:
firstly, adopting a non-spectroscopic infrared gas analysis method: because carbon monoxide has selective absorption to the non-spectroscopic infrared rays, the absorption value and the carbon monoxide concentration are in a linear relation in a certain range, and the concentration of the carbon monoxide in the sample is determined according to the absorption value;
step one, preparing a carbon monoxide non-light splitting infrared gas analyzer (1) and starting zero calibration, wherein after the apparatus is switched on and stabilized for 30min-1h, high-purity nitrogen or air enters an air inlet of the apparatus through a hopcalite oxidation tube and a drying tube to carry out zero calibration;
and step two, end point calibration, namely, carbon monoxide standard gas (such as 30ppm) enters an instrument sample inlet to carry out end point scale calibration.
Step three, calibrating the zero point and the end point again for 2-3 times to enable the instrument to be in a normal working state;
step four, sample determination:
connecting a sleeve (5) for collecting an air sample to an automatic air inlet (4) on a carbon monoxide non-spectroscopic infrared gas analyzer (1) of an analyzer filled with allochroic silica gel or anhydrous calcium chloride, automatically pumping the sample into an air chamber, and indicating the concentration (ppm) of carbon monoxide by an indicator (14) so as to determine the concentration of the carbon monoxide in the air on site and monitor the concentration of the carbon monoxide in the air for a long time; then the monitoring data is uploaded to a big data analysis device (3) to form a record table and record on the record table,
step five, the calculation result is as follows:
the volume concentration ppm of carbon monoxide is converted into mass concentration mg/m in a standard state according to the following formula3；
mg/m3＝ppm/B*28；
In the formula: b- -gas molar volume at standard conditions;
when 0 ℃ (101kpa), B ═ 22.41;
when 25 ℃ (101kpa), B ═ 24.46;
at this point, 28- -carbon monoxide molecular weight;
wherein, 1) the measuring range is as follows:
0 to 30 ppm; 0-100 ppm two grades;
2) detecting a lower limit;
the lowest detection concentration is 0.1 ppm;
3) interference and elimination;
the non-to-be-detected components in the ambient air, such as methane, carbon dioxide, water vapor and the like, can influence the determination result, but the tandem infrared detector can mostly eliminate the interference of the non-to-be-detected components;
4) the repeatability is less than 1 percent, and the drift time 4h is less than 4 percent;
5) accuracy depends on the uncertainty of the standard gas (less than 2%) and the stability error of the instrument (less than 4%).
And step six, simultaneously, an analysis method is adopted for catalytic luminescence sensing analysis, air is used as carrier gas to stably introduce carbon monoxide into the carbon monoxide sensor (2), and chemiluminescent signals with different concentrations are recorded.
The specific analysis process of the sensor is as follows: when the automatic air inlet (4) admits air, the detection gas enters the carbon monoxide sensor (2) through the connecting air pipe (6) for detection, 30 mu L of carbon monoxide gas is injected into the carbon monoxide sensor (2), the wavelength of the optical filter is 460nm, the flow rate of the air carrier gas is 100mL/min, and the catalytic oxidation temperature is 187 ℃, the detection signal of the functionalized graphite-phase carbon nitride sensing material responding to the carbon monoxide gas is the highest, so the detection under the condition is the optimal condition, the response and linearity of the catalytic luminescence analysis method to the carbon monoxide gas are researched under the optimal condition, and different carbon monoxide gas response signals are obtained when the injection amount of the carbon monoxide gas is 5 mu L-500 mu L; according to the proportional relation between the concentration and the response signal, the linear relation between the concentration of the carbon monoxide gas and the response signal is obtained, and the detection limit of the carbon monoxide gas is calculated to be 6 ppm.
And step seven, changing the chemiluminescence signal into a data signal and transmitting the data signal to central control equipment, performing quantitative detection on the carbon monoxide gas by adopting linear regression analysis, displaying the data visually in front of a worker by the central control equipment through a display screen, comparing the data with big data, and enabling the underground environment of the coal mine to be unsatisfied with continuous production conditions so as to facilitate the analysis and processing of the worker.
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