KR20130102823A - Harmful gase discernment device of livestock barn and, the discernment method - Google Patents
Harmful gase discernment device of livestock barn and, the discernment method Download PDFInfo
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- KR20130102823A KR20130102823A KR1020120023958A KR20120023958A KR20130102823A KR 20130102823 A KR20130102823 A KR 20130102823A KR 1020120023958 A KR1020120023958 A KR 1020120023958A KR 20120023958 A KR20120023958 A KR 20120023958A KR 20130102823 A KR20130102823 A KR 20130102823A
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- Prior art keywords
- gas
- digital signal
- data
- sensor
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- 244000144972 livestock Species 0.000 title claims abstract description 54
- 238000000034 method Methods 0.000 title claims abstract description 21
- 239000007789 gas Substances 0.000 claims abstract description 195
- 239000002341 toxic gas Substances 0.000 claims abstract description 40
- QGZKDVFQNNGYKY-UHFFFAOYSA-N Ammonia Chemical compound N QGZKDVFQNNGYKY-UHFFFAOYSA-N 0.000 claims description 23
- 238000004422 calculation algorithm Methods 0.000 claims description 18
- 230000005540 biological transmission Effects 0.000 claims description 9
- 231100001261 hazardous Toxicity 0.000 claims description 3
- 239000012855 volatile organic compound Substances 0.000 claims description 3
- 239000000203 mixture Substances 0.000 abstract 3
- RWSOTUBLDIXVET-UHFFFAOYSA-N Dihydrogen sulfide Chemical compound S RWSOTUBLDIXVET-UHFFFAOYSA-N 0.000 description 10
- 229910021529 ammonia Inorganic materials 0.000 description 8
- 229910000037 hydrogen sulfide Inorganic materials 0.000 description 8
- 238000004364 calculation method Methods 0.000 description 6
- 238000005259 measurement Methods 0.000 description 4
- 238000010926 purge Methods 0.000 description 4
- 238000003909 pattern recognition Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 210000003608 fece Anatomy 0.000 description 2
- 238000010438 heat treatment Methods 0.000 description 2
- 239000010871 livestock manure Substances 0.000 description 2
- 230000035945 sensitivity Effects 0.000 description 2
- 239000000126 substance Substances 0.000 description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
- 206010019233 Headaches Diseases 0.000 description 1
- 206010028813 Nausea Diseases 0.000 description 1
- 230000007423 decrease Effects 0.000 description 1
- 238000000280 densification Methods 0.000 description 1
- 201000010099 disease Diseases 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 208000002173 dizziness Diseases 0.000 description 1
- 235000013601 eggs Nutrition 0.000 description 1
- 238000000855 fermentation Methods 0.000 description 1
- 230000004151 fermentation Effects 0.000 description 1
- 239000012467 final product Substances 0.000 description 1
- 231100000869 headache Toxicity 0.000 description 1
- 210000004072 lung Anatomy 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000008693 nausea Effects 0.000 description 1
- 230000001473 noxious effect Effects 0.000 description 1
- 210000002345 respiratory system Anatomy 0.000 description 1
- 239000002002 slurry Substances 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 238000012549 training Methods 0.000 description 1
- 241001148471 unidentified anaerobic bacterium Species 0.000 description 1
- 238000009423 ventilation Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/0004—Gaseous mixtures, e.g. polluted air
- G01N33/0009—General constructional details of gas analysers, e.g. portable test equipment
- G01N33/0027—General constructional details of gas analysers, e.g. portable test equipment concerning the detector
- G01N33/0031—General constructional details of gas analysers, e.g. portable test equipment concerning the detector comprising two or more sensors, e.g. a sensor array
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/0004—Gaseous mixtures, e.g. polluted air
- G01N33/0009—General constructional details of gas analysers, e.g. portable test equipment
- G01N33/0027—General constructional details of gas analysers, e.g. portable test equipment concerning the detector
- G01N33/0036—General constructional details of gas analysers, e.g. portable test equipment concerning the detector specially adapted to detect a particular component
- G01N33/0047—Organic compounds
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/0004—Gaseous mixtures, e.g. polluted air
- G01N33/0009—General constructional details of gas analysers, e.g. portable test equipment
- G01N33/0027—General constructional details of gas analysers, e.g. portable test equipment concerning the detector
- G01N33/0036—General constructional details of gas analysers, e.g. portable test equipment concerning the detector specially adapted to detect a particular component
- G01N33/0054—Ammonia
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- Chemical & Material Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Medicinal Chemistry (AREA)
- Food Science & Technology (AREA)
- Combustion & Propulsion (AREA)
- Physics & Mathematics (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Investigating Or Analyzing Materials By The Use Of Fluid Adsorption Or Reactions (AREA)
Abstract
Description
The present invention relates to an apparatus for identifying harmful gases in a livestock growing environment, and more specifically, a livestock growing environment that can wirelessly measure and transmit data of harmful gases in a livestock growing environment and accurately identify the type and concentration of gas. To a noxious gas identification device.
In recent years, due to the gradual densification of livestock raising in the livestock raising environment, the concentration of harmful gases generated from odorous manure can be increased, and the allowable exposure standard can be exceeded. In terms of odor generation, volatile organic substances are produced as the final product of the anaerobic bacteria fermentation present in the manure.
The major harmful gases of livestock odor are ammonia (NH 3 ) and hydrogen sulfide (H 2 S). Ammonia is colorless, water soluble, easily soluble in water, and can be detected by human nose even at low concentrations. Human eyes and lungs are irritated. Hydrogen sulfide is heavier than air and is laid on the slurry surface of the house. Even low levels of rotting eggs can cause headaches, dizziness, and nausea.
In particular, when the minimum ventilation rate is applied to maintain the indoor temperature during the winter when the external air temperature decreases, when a farm worker is exposed to harmful gases for a long time or a high concentration, it may act as a toxic gas, and livestock are also affected similarly. 15 [ppm] of ammonia gas in confined spaces can be caused by diseases of the respiratory system. In addition, the ammonia released to the outside causes a lot of damage to nearby farms.
Therefore, a recent hazardous gas identification device in a livestock growing environment needs an environment capable of wirelessly measuring data of harmful gases in a livestock growing environment and accurately identifying the type and concentration of gas.
SUMMARY OF THE INVENTION In order to solve the problems as in the related art, an object of the present invention is to provide a harmful gas identification apparatus for livestock growing environment that can wirelessly measure and classify harmful gases by converting voltage values of data measured from harmful gases into digital signals. I would like to.
In addition, another object of the present invention is to provide a harmful gas identification device of the livestock growing environment that can be easily monitored from the center by measuring the harmful gas by wirelessly transmitting and receiving data, wirelessly measuring the harmful gas anywhere and safely. I would like to.
In addition, another object of the present invention is to provide a device for identifying harmful gases in a livestock growing environment that can simplify the calculation process and shorten the calculation time by classifying gases through a fuzzy maximum-minimum algorithm.
In addition, another object of the present invention is to provide an apparatus for identifying harmful gases in a livestock growing environment that can increase the probability of gas measurement and recognition by using a sensor array using a combination of various types of gas sensors.
The hazardous gas identification device of the livestock growing environment of the present invention for achieving the above objects is disposed in the region where the mixed gas containing the harmful gas is generated in the apparatus for identifying harmful gases in the livestock growing environment, the gas data from the mixed gas Measuring and converting the digital signal into one or more sensor means for wirelessly transmitting the digital signal, and receiving the digital signal from the continuous sensor means, and identifying and classifying the type and concentration of the noxious gas from the digital signal. It characterized in that it comprises a classification means.
The sensor means measures gas data from the mixed gas, and converts the gas data into a voltage value, and converts the voltage value of the gas data into the digital signal, but converts the digital signal into the sorting means. And a sensor driver for driving the wireless transmitter to wirelessly transmit the data, and the gas measuring unit to measure the gas data, or the wireless transceiver to wirelessly transmit the digital signal to the sorting means.
The classification means uses a wireless receiver for wirelessly transmitting the digital signal from the sensor means, an algorithm for identifying a gas as learned data, and a gas for identifying and classifying a type and concentration of harmful gas from the digital signal. And a controller configured to control the recognition classifier and the wireless receiver to wirelessly receive the digital signal or to classify the type and concentration of the noxious gas from the digital signal.
The gas recognition classification unit classifies the harmful gas through a purge max-minimum algorithm.
The gas measuring unit may measure the mixed gas including ammonia gas sensor MICS-5914 and a volatile organic compound sensor MICS-5135.
In order to achieve the above objects, a harmful gas identification method of a livestock growing environment according to the present invention includes a gas measuring step of measuring gas data from a mixed gas including a noxious gas by a sensor means, and converting the gas data into a voltage value, the sensor And a wireless transmission and reception step of wirelessly transmitting and receiving the gas data from the means to the classification means, and a gas recognition classification step of the classification means identifying and classifying the type and concentration of the noxious gas from the data.
The wireless transmitting / receiving step may include converting a voltage value of the gas data into a digital signal, and wirelessly transmitting the digital signal to the classification means, and the classification means wirelessly transmitting the digital signal from the sensor means. It characterized in that it comprises a wireless receiving step to receive.
In addition, the gas recognition classification step is characterized by classifying the harmful gas through the purge maximum-minimum algorithm.
As described above, the noxious gas identification device of the livestock growing environment of the present invention converts the voltage value of the data measured from the noxious gas into a digital signal, thereby providing an environment in which the noxious gas can be measured and classified wirelessly.
In addition, the apparatus for identifying harmful gases in the livestock growing environment of the present invention provides an environment in which harmful gases can be safely measured by wirelessly transmitting and receiving data on which harmful gases are measured.
In addition, the apparatus for identifying harmful gases in the livestock growing environment of the present invention classifies gases through a fuzzy maximum-minimum algorithm, thereby providing an environment that can simplify the calculation process and shorten the calculation time.
In addition, the apparatus for identifying harmful gases in the livestock growing environment of the present invention provides an environment in which gas measurement and recognition probability can be increased by using a sensor array using a combination of various types of gas sensors.
1 is a block diagram showing a schematic configuration of an apparatus for identifying a noxious gas in a livestock growing environment according to the present invention.
2 is a flowchart illustrating a learning process of pattern recognition for gas classification by a gas recognition classification unit of a noxious gas identification device of a livestock growing environment according to the present invention.
3 is a flowchart illustrating a specific gas measurement and recognition classification process of the apparatus for identifying harmful gases in the livestock growing environment according to an embodiment of the present invention.
Figure 4 is an experimental result of measuring the ammonia gas by the sensor means of the noxious gas identification device of the livestock growing environment of the present invention.
5 is an experimental result of measuring the hydrogen sulfide gas by the sensor means of the noxious gas identification device of the livestock growing environment of the present invention.
6 is an experimental result of measuring a mixed gas of ammonia and hydrogen sulfide by the sensor means of the noxious gas identification device of the livestock growing environment of the present invention.
FIG. 7 is an experimental result of classifying means of the noxious gas identification device of the livestock growing environment according to the present invention.
The embodiments of the present invention can be modified into various forms and the scope of the present invention should not be interpreted as being limited by the embodiments described below. The present embodiments are provided to enable those skilled in the art to more fully understand the present invention. Therefore, the shapes and the like of the components in the drawings are exaggerated in order to emphasize a clearer explanation.
Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to FIGS. 1 to 7.
1 is a block diagram showing a schematic configuration of an apparatus for identifying a noxious gas in a livestock growing environment according to the present invention.
Harmful gas identification device of the livestock growing environment of the present invention according to Figure 1 includes a sensor means 10 and the classification means (20).
The sensor means 10 measures gas data from the mixed gas, converts the gas data into a digital signal, and wirelessly transmits the digital signal. The sensor means 10 includes a
Here, the mixed gas is a gas in which harmful gases generated in the livestock growing environment are mixed, and includes ammonia (NH 3 ), hydrogen sulfide (H 2 S), and the like as the main harmful gases.
The
MICS-5914 is a sensor for measuring ammonia gas. It uses a sensor of Micro Chemical Systems. It has a sensitivity measuring range of 0.1 ~ 100 [ppm] and the maximum applied voltage is 5V and the heating current is very low. 30 mA. The MICS-5135 is a sensor for measuring hydrogen sulfide gas, and has a sensitivity measuring range of 0.1 to 1000 [ppm]. The sensor has a maximum applied voltage of 5 V and a very low heating current of 32 mA.
Therefore, the
The
The
The classification means 20 receives the digital signal from the sensor means 10 and classifies the harmful gas by identifying the type and concentration of the harmful gas from the digital signal. The classification means 20 includes a
The
The gas
The
The
2 is a flowchart illustrating a learning process of pattern recognition for gas classification by the gas
The gas
Referring to FIG. 2, the fuzzy maximum-minimum algorithm of the
In addition, the fuzzy maximum-minimum algorithm obtains a degree of classification (DOC) using minimum and maximum values, and identifies and classifies harmful gases by setting a category having the closest degree of belonging of the pattern data of the training data. (S16, S18).
Accordingly, the apparatus for identifying harmful gases in the livestock growing environment according to the present invention classifies gases through fuzzy maximum-minimum algorithm that can identify harmful gases with the learned data, thereby simplifying the calculation process and reducing the calculation time. Provide an environment.
3 is a flowchart illustrating a specific gas measurement and recognition classification process of the apparatus for identifying harmful gases in the livestock growing environment according to an embodiment of the present invention.
The harmful gas identification method of the livestock growing environment of the present invention includes a gas measuring step, a wireless transmission and reception step, and a gas recognition classification step.
The gas measuring step is a step in which the sensor means 10 measures the data of the noxious gas from the mixed gas, and converts the measured data into voltage values (S20).
The wireless transmission / reception step is a step of wirelessly transmitting and receiving the gas data from the sensor means 10 to the classification means 20. In the wireless transmission and reception step, the wireless transmission step of converting the voltage value of the data into a digital signal and wirelessly transmitting it to the classification means 20 and the wireless receiving the digital signal from the sensor means 10 by the classification means 20 wirelessly. And a receiving step (S22, S24, S26).
In the gas recognition classification step, the classification means 20 identifies and classifies the type and concentration of gas from the data. The gas recognition classification step is characterized in that to classify the gas through a purge maximum-minimum algorithm (S28).
Therefore, the apparatus for identifying harmful gases in the livestock growing environment of the present invention measures and transmits data of harmful gases in the livestock growing environment and wirelessly, and provides an environment capable of accurately identifying the type and concentration of gas.
4 is an experimental result of measuring the ammonia gas by the sensor means 10 of the noxious gas identification device of the livestock growing environment of the present invention, Figure 5 is the sensor means 10 of the noxious gas identification device of the livestock growing environment of the present invention It is an experimental result which measured this hydrogen sulfide gas, and FIG. 6 is the experimental result which the sensor means 10 of the harmful gas identification apparatus of the livestock growing environment of this invention measured the mixed gas of ammonia and hydrogen sulfide.
4 to 6, each of the figures is a test result measured by the harmful gas identification device of the livestock growing environment of the present invention by adjusting the gas concentration of ammonia and hydrogen sulfide and their mixed gas which is the main harmful gas. This shows that the
7 is an experimental result of classifying means 20 of the noxious gas identification device of the livestock growing environment according to the present invention.
Referring to Figure 7, it shows that the classification means 20 of the present invention can identify the type and concentration of harmful gases from the data of measuring ammonia, hydrogen sulfide and their mixed gas. In addition, the
In the above, the configuration and operation of the apparatus for identifying harmful gases in the livestock growing environment according to the present invention are illustrated according to the detailed description and the drawings, which are merely described by way of example, and do not depart from the spirit of the present invention. Various changes and modifications are possible.
10: sensor means 12: gas measuring unit
14: sensor drive unit 16: wireless transmission unit
20: sorting means 22: wireless receiver
24: gas recognition classification section 26: database
28: control unit
Claims (8)
At least one sensor means disposed in a region where a mixed gas containing harmful gas is generated, measuring gas data from the mixed gas, converting the gas data into a digital signal, and wirelessly transmitting the digital signal; And
And a classification means for receiving the digital signal from the sensor unit at all times and identifying and classifying the type and concentration of the noxious gas from the digital signal.
The sensor means
A gas measuring unit measuring gas data from the mixed gas and converting the gas data into a voltage value;
A wireless transmitter converting the voltage value of the gas data into the digital signal and wirelessly transmitting the digital signal to the sorting means; And
And a sensor driver for driving the gas measuring unit to measure the gas data or the wireless transmitting unit to wirelessly transmit the digital signal to the sorting unit.
The sorting means
A wireless receiver for wirelessly transmitting the digital signal from the sensor means;
A gas recognition classification unit using an algorithm for identifying a gas with the learned data and identifying and classifying a type and a concentration of harmful gas from the digital signal; And
And a controller configured to control the wireless receiver to wirelessly receive the digital signal, or to control the gas recognition classifier to classify the type and concentration of the harmful gas from the digital signal. .
The gas recognition classification unit
Harmful gas identification device of livestock growing environment, characterized in that to classify the harmful gas through the fuzzy maximum-minimum algorithm.
The gas measuring unit
An apparatus for identifying harmful gases in a livestock growing environment, comprising measuring the mixed gas including ammonia gas sensor MICS-5914 and a volatile organic compound sensor MICS-5135.
A wireless transmission / reception step of wirelessly transmitting and receiving the gas data from the sensor means to the classification means; And
And a gas classifying step of classifying means for identifying and classifying the type and concentration of the noxious gas from the data.
The wireless transmission and reception step
A wireless transmission step of converting the voltage value of the gas data into a digital signal and wirelessly transmitting the digital signal to the classification means; And
And a wireless reception step of the classification means receiving the digital signal wirelessly from the sensor means.
The gas recognition classification step
Hazardous gas identification method in livestock growing environment, characterized in that to classify the harmful gas through the fuzzy maximum-minimum algorithm.
Priority Applications (1)
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KR1020120023958A KR20130102823A (en) | 2012-03-08 | 2012-03-08 | Harmful gase discernment device of livestock barn and, the discernment method |
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KR1020120023958A KR20130102823A (en) | 2012-03-08 | 2012-03-08 | Harmful gase discernment device of livestock barn and, the discernment method |
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KR1020120023958A KR20130102823A (en) | 2012-03-08 | 2012-03-08 | Harmful gase discernment device of livestock barn and, the discernment method |
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Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104931657A (en) * | 2015-06-18 | 2015-09-23 | 韩云国 | Airborne toxic gas detecting device for western medicine production |
KR20200022117A (en) | 2018-08-22 | 2020-03-03 | (주)이지정보기술 | forecast and warning information providing system and method for Harmful work environment using big data analysis |
KR20210041954A (en) | 2019-10-08 | 2021-04-16 | (주)이지정보기술 | System and method for providing harmful environment notification service through collection and analysis of working environment information and biometrics information of workers |
KR20230013481A (en) | 2021-07-19 | 2023-01-26 | (주)이지정보기술 | Greenhouse risk monitoring system |
-
2012
- 2012-03-08 KR KR1020120023958A patent/KR20130102823A/en not_active Application Discontinuation
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104931657A (en) * | 2015-06-18 | 2015-09-23 | 韩云国 | Airborne toxic gas detecting device for western medicine production |
KR20200022117A (en) | 2018-08-22 | 2020-03-03 | (주)이지정보기술 | forecast and warning information providing system and method for Harmful work environment using big data analysis |
KR20210041954A (en) | 2019-10-08 | 2021-04-16 | (주)이지정보기술 | System and method for providing harmful environment notification service through collection and analysis of working environment information and biometrics information of workers |
KR20230013481A (en) | 2021-07-19 | 2023-01-26 | (주)이지정보기술 | Greenhouse risk monitoring system |
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