CN111398377A - Gas environment monitoring system and method for rail transit station - Google Patents
Gas environment monitoring system and method for rail transit station Download PDFInfo
- Publication number
- CN111398377A CN111398377A CN202010298094.0A CN202010298094A CN111398377A CN 111398377 A CN111398377 A CN 111398377A CN 202010298094 A CN202010298094 A CN 202010298094A CN 111398377 A CN111398377 A CN 111398377A
- Authority
- CN
- China
- Prior art keywords
- gas
- detected
- electric signal
- signal
- sensor array
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 57
- 238000000034 method Methods 0.000 title claims abstract description 30
- 238000012545 processing Methods 0.000 claims abstract description 61
- 238000000605 extraction Methods 0.000 claims abstract description 16
- 238000006243 chemical reaction Methods 0.000 claims description 21
- 238000004590 computer program Methods 0.000 claims description 14
- 230000003321 amplification Effects 0.000 claims description 8
- 238000003199 nucleic acid amplification method Methods 0.000 claims description 8
- 238000005070 sampling Methods 0.000 claims description 4
- 239000007789 gas Substances 0.000 description 131
- 238000010586 diagram Methods 0.000 description 10
- 230000008569 process Effects 0.000 description 5
- 230000006870 function Effects 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 3
- 239000000126 substance Substances 0.000 description 3
- QGZKDVFQNNGYKY-UHFFFAOYSA-N Ammonia Chemical compound N QGZKDVFQNNGYKY-UHFFFAOYSA-N 0.000 description 2
- RAHZWNYVWXNFOC-UHFFFAOYSA-N Sulphur dioxide Chemical compound O=S=O RAHZWNYVWXNFOC-UHFFFAOYSA-N 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 230000007613 environmental effect Effects 0.000 description 2
- 238000000556 factor analysis Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 230000004044 response Effects 0.000 description 2
- 230000035945 sensitivity Effects 0.000 description 2
- MGWGWNFMUOTEHG-UHFFFAOYSA-N 4-(3,5-dimethylphenyl)-1,3-thiazol-2-amine Chemical compound CC1=CC(C)=CC(C=2N=C(N)SC=2)=C1 MGWGWNFMUOTEHG-UHFFFAOYSA-N 0.000 description 1
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 description 1
- UFHFLCQGNIYNRP-UHFFFAOYSA-N Hydrogen Chemical compound [H][H] UFHFLCQGNIYNRP-UHFFFAOYSA-N 0.000 description 1
- 206010063385 Intellectualisation Diseases 0.000 description 1
- 238000010521 absorption reaction Methods 0.000 description 1
- 229910021529 ammonia Inorganic materials 0.000 description 1
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 1
- 229910002091 carbon monoxide Inorganic materials 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 239000003814 drug Substances 0.000 description 1
- 230000002708 enhancing effect Effects 0.000 description 1
- 238000003891 environmental analysis Methods 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 239000001257 hydrogen Substances 0.000 description 1
- 229910052739 hydrogen Inorganic materials 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 230000002045 lasting effect Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- WSFSSNUMVMOOMR-NJFSPNSNSA-N methanone Chemical compound O=[14CH2] WSFSSNUMVMOOMR-NJFSPNSNSA-N 0.000 description 1
- 238000004377 microelectronic Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000002086 nanomaterial Substances 0.000 description 1
- JCXJVPUVTGWSNB-UHFFFAOYSA-N nitrogen dioxide Inorganic materials O=[N]=O JCXJVPUVTGWSNB-UHFFFAOYSA-N 0.000 description 1
- 229910052760 oxygen Inorganic materials 0.000 description 1
- 239000001301 oxygen Substances 0.000 description 1
- 238000003909 pattern recognition Methods 0.000 description 1
- 238000013139 quantization Methods 0.000 description 1
- 238000001228 spectrum Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 238000004832 voltammetry Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N27/00—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means
- G01N27/26—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating electrochemical variables; by using electrolysis or electrophoresis
- G01N27/27—Association of two or more measuring systems or cells, each measuring a different parameter, where the measurement results may be either used independently, the systems or cells being physically associated, or combined to produce a value for a further parameter
-
- 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
- G01N33/0062—General constructional details of gas analysers, e.g. portable test equipment concerning the measuring method or the display, e.g. intermittent measurement or digital display
- G01N33/0063—General constructional details of gas analysers, e.g. portable test equipment concerning the measuring method or the display, e.g. intermittent measurement or digital display using a threshold to release an alarm or displaying means
-
- 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
- G01N33/0073—Control unit therefor
- G01N33/0075—Control unit therefor for multiple spatially distributed sensors, e.g. for environmental monitoring
Landscapes
- Chemical & Material Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- Engineering & Computer Science (AREA)
- Analytical Chemistry (AREA)
- General Physics & Mathematics (AREA)
- Pathology (AREA)
- Physics & Mathematics (AREA)
- Immunology (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- Combustion & Propulsion (AREA)
- Food Science & Technology (AREA)
- Medicinal Chemistry (AREA)
- Molecular Biology (AREA)
- Chemical Kinetics & Catalysis (AREA)
- Electrochemistry (AREA)
- Investigating Or Analyzing Materials By The Use Of Electric Means (AREA)
Abstract
The invention discloses a rail transit station gas environment monitoring system and a method thereof, wherein the system comprises: the system comprises an electrochemical sensor array, a signal processor and a main control processor; the electrochemical sensor array is used for generating an electric signal of the gas to be detected; the signal processor comprises a calibration unit used for carrying out nonlinear calibration processing on the electrical signal of the gas to be detected; and the main control processor is used for carrying out feature extraction and identification on the electric signal of the gas to be detected after the nonlinear calibration processing. The invention can accurately and efficiently monitor the gas environment of the rail transit station and avoid the problems of low monitoring efficiency, poor anti-interference capability and the like.
Description
Technical Field
The invention relates to the technical field of gas environment monitoring, in particular to a system and a method for monitoring a gas environment of a rail transit station.
Background
At present, the operation load of large-city subways in the morning and evening peaks is large, and the quality of the gas environment of a part of early-built subway stations is reduced. Therefore, it is very necessary to develop influence factor analysis for the subway station environment constructed in the early stage and establish a gas environment integrated comprehensive monitoring system. Aiming at the uniqueness of the microenvironment of the rail transit station, the identification research of the gas environment influence factors of the rail transit station is developed. The existing gas environment monitoring system has the problems of low monitoring efficiency, poor anti-interference capability and the like, and can not accurately and efficiently monitor the gas environment of a rail transit station.
Disclosure of Invention
The embodiment of the invention provides a rail transit station gas environment monitoring system, which is used for accurately and efficiently monitoring the rail transit station gas environment and avoiding the problems of low monitoring efficiency, poor anti-jamming capability and the like, and comprises: the system comprises an electrochemical sensor array, a signal processor and a main control processor;
the electrochemical sensor array is used for generating an electric signal of the gas to be detected;
the signal processor comprises a calibration unit used for carrying out nonlinear calibration processing on the electrical signal of the gas to be detected;
and the main control processor is used for carrying out feature extraction and identification on the electric signal of the gas to be detected after the nonlinear calibration processing.
The rail transit station gas environment monitoring system provided by the embodiment of the invention comprises: the system comprises an electrochemical sensor array, a signal processor and a main control processor; the electrochemical sensor array is used for generating an electric signal of the gas to be detected; the signal processor comprises a calibration unit used for carrying out nonlinear calibration processing on the electrical signal of the gas to be detected; and the main control processor is used for carrying out feature extraction and identification on the electric signal of the gas to be detected after the nonlinear calibration processing. According to the embodiment of the invention, the electrochemical sensor array is adopted to generate the electric signal of the gas to be detected, so that the monitoring efficiency is effectively improved, the electric signal of the gas to be detected is not easily influenced by interference gas, the signal processor is utilized to carry out nonlinear calibration processing on the electric signal of the gas to be detected, the monitoring accuracy and the anti-interference capability are improved, and therefore, the gas environment of the rail transit station is accurately and efficiently monitored.
The embodiment of the invention provides a method for monitoring a gas environment of a rail transit station, which is used for accurately and efficiently monitoring the gas environment of the rail transit station and avoiding the problems of low monitoring efficiency, poor anti-jamming capability and the like, and comprises the following steps:
obtaining a gas electric signal to be detected, wherein the gas electric signal to be detected is generated by an electrochemical sensor array;
carrying out nonlinear calibration processing on the electrical signal of the gas to be detected;
and performing characteristic extraction and identification on the electric signal of the gas to be detected after the nonlinear calibration processing.
The embodiment of the invention also provides computer equipment which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor executes the computer program to realize the rail transit station gas environment monitoring method.
The embodiment of the invention also provides computer equipment which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor executes the computer program to realize the rail transit station gas environment monitoring method.
According to the embodiment of the invention, the electric signal of the gas to be detected is obtained and is generated by the electrochemical sensor array; carrying out nonlinear calibration processing on the electrical signal of the gas to be detected; and performing characteristic extraction and identification on the electric signal of the gas to be detected after the nonlinear calibration processing. According to the embodiment of the invention, the electrochemical sensor array is adopted to generate the electric signal of the gas to be detected, so that the monitoring efficiency is effectively improved, the electric signal of the gas to be detected is not easily influenced by interference gas, the nonlinear calibration processing is carried out on the electric signal of the gas to be detected, the monitoring accuracy and the anti-interference capability are improved, and the accurate and efficient monitoring of the gas environment of the rail transit station is realized.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts. In the drawings:
FIG. 1 is a diagram of a gas environment monitoring system of a rail transit station according to an embodiment of the present invention;
FIG. 2 is a diagram of a gas environment monitoring system of a rail transit station according to an embodiment of the present invention;
FIG. 3 is a flow chart of a method for monitoring the gas environment of a rail transit station according to an embodiment of the present invention;
fig. 4 is a flowchart of a method for monitoring a gas environment of a rail transit station according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the embodiments of the present invention are further described in detail below with reference to the accompanying drawings. The exemplary embodiments and descriptions of the present invention are provided to explain the present invention, but not to limit the present invention.
An electrochemical sensor refers to a device or apparatus capable of responding to biological and chemical quantities and converting the quantities into electric signals according to a certain rule for output. Whether the output signal can be accurately measured or not directly influences the authenticity of the change rule of the biological or chemical quantity reflected by the output signal, so that the development of a high-precision measuring instrument is particularly important. With the rapid development of nano material science and microelectronic technology, the wide adoption of new principles, new technologies, new materials and new processes, the sensor is gradually developed in the direction of miniaturization, microminiaturization and intellectualization, and the electrochemical sensor with special performance and advantages is continuously emerging and enters into practical application. In europe and the united states, voltammetry has replaced the traditional atomic absorption method for a large number of applications in the fields of medicine, biology and environmental analysis.
As described above, the current large-city subway has a large operation load during the peak in the morning and at night, which causes the quality of the gas environment of a part of the subway stations built in the early stage to be reduced. Therefore, it is very necessary to develop influence factor analysis for the subway station environment constructed in the early stage and establish a gas environment integrated comprehensive monitoring system. Aiming at the uniqueness of the microenvironment of the rail transit station, the identification research of the gas environment influence factors of the rail transit station is developed. The existing gas environment monitoring system has the problems of low monitoring efficiency, poor anti-interference capability and the like, and can not accurately and efficiently monitor the gas environment of a rail transit station.
In order to accurately and efficiently monitor the gas environment of a rail transit station and avoid the problems of low monitoring efficiency, poor anti-interference capability and the like, an embodiment of the invention provides a gas environment monitoring system for a rail transit station, which can comprise: an electrochemical sensor array 100, a signal processor 200 and a master processor 300;
the electrochemical sensor array 100 is used for generating an electrical signal of the gas to be detected;
the signal processor 200 includes a calibration unit 201, configured to perform nonlinear calibration processing on the electrical signal of the gas to be measured;
the main control processor 300 is configured to perform feature extraction and identification on the electrical signal of the gas to be detected after the nonlinear calibration processing.
As shown in fig. 1, the gas environment monitoring system for a railway transit station according to the embodiment of the present invention includes: the system comprises an electrochemical sensor array, a signal processor and a main control processor; the electrochemical sensor array is used for generating an electric signal of the gas to be detected; the signal processor comprises a calibration unit used for carrying out nonlinear calibration processing on the electrical signal of the gas to be detected; and the main control processor is used for carrying out feature extraction and identification on the electric signal of the gas to be detected after the nonlinear calibration processing. According to the embodiment of the invention, the electrochemical sensor array is adopted to generate the electric signal of the gas to be detected, so that the monitoring efficiency is effectively improved, the electric signal of the gas to be detected is not easily influenced by interference gas, the signal processor is utilized to carry out nonlinear calibration processing on the electric signal of the gas to be detected, the monitoring accuracy and the anti-interference capability are improved, and therefore, the gas environment of the rail transit station is accurately and efficiently monitored.
In an embodiment, the electrochemical sensor array 100 is a four-electrode electrochemical sensor array comprising: a working electrode, a reference electrode, a counter electrode and an auxiliary electrode.
In this embodiment, the four-electrode electrochemical sensor array includes a Working Electrode (WE), a Reference Electrode (RE), a Counter Electrode (CE), and an auxiliary electrode, respectively. The gas to be detected reacts on the electrodes of the four-electrode electrochemical sensor array to generate current and generate an electric signal of the gas to be detected, the current and the concentration of the gas to be detected are in a linear relation, generally more than 3 orders of magnitude, and high sensitivity (ppm and ppb) can be realized under the condition of constant pressure. The four-electrode electrochemical sensor array can detect a wide range of concentrations of the gas to be detected, usually more than 10 orders of magnitude. The four-electrode electrochemical sensor array is composed of a plurality of electrochemical sensors. According to the type of the gas to be measured, the sensors are selected to form a four-electrode electrochemical sensor array, so that good sensitivity and selectivity are obtained. The auxiliary electrode is used for enhancing the temperature stability of the auxiliary electrode, reducing the influence of the external environment and simultaneously eliminating the interference of hydrogen in the gas reaction.
In an embodiment, as shown in fig. 2, the signal processor 200 shown in fig. 1 further includes:
the signal amplification circuit 202 is used for performing signal amplification processing on the electric signal of the gas to be detected;
the sampling holding circuit 203 is used for tracking or holding the level value of the amplified gas electric signal to be detected;
the analog-to-digital conversion circuit 204 is used for performing analog-to-digital conversion on the electric signal of the gas to be detected after tracking or holding processing;
the calibration unit 201 is further configured to perform nonlinear calibration processing on the electrical signal of the gas to be measured after the analog-to-digital conversion.
In this embodiment, the analog-to-digital conversion circuit 204 is used for performing analog-to-digital conversion on the electric signal of the gas to be detected after tracking or holding processing, and is an AS1278-24bit multi-channel analog-to-digital conversion circuit, with 8 channels and 24bit resolution. The AS1278-24bit multi-channel analog-to-digital conversion circuit converts the collected analog signals into digital signals which can be identified by the single chip microcomputer, and the over-sampling technology is adopted in the process to improve the signal-to-noise ratio of the analog-to-digital conversion circuit by reducing quantization noise and improve the effective resolution.
In this embodiment, the signal amplifying circuit 202 is configured to amplify the electrical signal of the gas to be detected. The inventor finds that a weak electrical signal output by the sensor is easily interfered, and therefore, in the embodiment of the invention, the signal amplification circuit 202 performs signal amplification processing on the electrical signal of the gas to be measured output by the sensor, so that interference is effectively reduced.
In this embodiment, the sample-and-hold circuit 203 is configured to track or hold the level value of the amplified electrical signal of the gas to be measured, so as to ensure the conversion accuracy.
In an embodiment, the master processor 300 is further configured to: and generating an alarm signal according to the identification result of the electric signal of the gas to be detected.
In this embodiment, the main control processor 300 is configured to perform feature extraction and identification on the electrical signal of the gas to be detected after the nonlinear calibration processing, and is further configured to generate an alarm signal according to an identification result of the electrical signal of the gas to be detected. Specifically, the main control processor 300 extracts the characteristics of the electrical signal to obtain a characteristic vector, processes the characteristic vector, applies a pattern recognition algorithm to process and classify and recognize the characteristic vector, compares and analyzes the characteristic vector with a gas characteristic database which is trained in advance and stored in the microprocessor, and calculates a concentration value data result to obtain a recognition result. And performing overrun comparison on the identification result, and sending out an alarm signal when the concentration value of the detected gas exceeds an alarm line set by the instrument, wherein the alarm signal can be an acoustic alarm signal and/or an optical alarm signal.
The method comprises the following steps of collecting environmental gas data, collecting subway environmental gas samples, lasting the testing time of each station for about 30 minutes to obtain stable gas parameters, filtering interference gas with the concentration of specific interference gas by a built-in chemical filter in an electrochemical sensor array, reducing cross interference among various mixed gases, generating corresponding tiny electric signals (oxygen, carbon monoxide, formaldehyde, ammonia, sulfur dioxide and nitrogen dioxide) by interaction of the gas and the electrochemical sensor array, forming a characteristic response spectrum for the gas to be tested by signals generated by the electrochemical sensor array, converting weak current signals output by the electrochemical sensor array into larger voltage signals by an integrated operational amplifier and outputting the larger voltage signals, intercepting and converting the signals every second by a sampling and holding circuit to ensure conversion precision, performing AS1278-24 multichannel analog-to-digital conversion, performing linear processing on the data, obtaining a characteristic vector after performing characteristic extraction on the electric signals by a main control processor 300, processing the characteristic vector, performing linear processing on the characteristic vector, comparing the obtained result of signal processing on the linear recognition and conversion of the alarm signal, and obtaining a non-linear recognition result of a linear recognition curve, and obtaining a non-linear response curve, wherein the result of the linear recognition of the gas is obtained by a linear conversion, and a linear recognition, the output of the microprocessor, and a non-linear-alarm-linear-input-output signal-output-input-output-.
Based on the same inventive concept, the embodiment of the invention also provides a rail transit station gas environment monitoring method, which is described in the following embodiment. Because the principles for solving the problems are similar to those of the gas environment monitoring system of the rail transit station, the implementation of the method can be referred to the implementation of the system, and repeated parts are not described again.
Fig. 3 is a flowchart of a method for monitoring a gas environment at a railway transit station according to an embodiment of the present invention, as shown in fig. 3, the method includes:
301, obtaining a gas electric signal to be detected, wherein the gas electric signal to be detected is generated by an electrochemical sensor array;
and 303, extracting and identifying the characteristics of the electric signal of the gas to be detected after the nonlinear calibration processing.
In one embodiment, the electrochemical sensor array is a four-electrode electrochemical sensor array comprising: a working electrode, a reference electrode, a counter electrode and an auxiliary electrode.
In one embodiment, as shown in fig. 4, the method for monitoring the gas environment at the railway transit station shown in fig. 3 further includes:
305, tracking or keeping the level value of the amplified gas electric signal to be detected;
the nonlinear calibration processing is carried out on the electric signal of the gas to be detected, and the nonlinear calibration processing comprises the following steps: and carrying out nonlinear calibration processing on the electrical signal of the gas to be detected after analog-to-digital conversion.
In one embodiment, the method for monitoring the gas environment at the railway transit station further comprises the following steps:
and 307, after the characteristic extraction and identification are carried out on the electric signal of the gas to be detected after the nonlinear calibration processing, generating an alarm signal according to the identification result of the electric signal of the gas to be detected.
As shown in fig. 4, in the embodiment of the present invention, an electrical signal of the gas to be measured is obtained, and the electrical signal of the gas to be measured is generated by the electrochemical sensor array; carrying out nonlinear calibration processing on the electrical signal of the gas to be detected; and performing characteristic extraction and identification on the electric signal of the gas to be detected after the nonlinear calibration processing. According to the embodiment of the invention, the electrochemical sensor array is adopted to generate the electric signal of the gas to be detected, so that the monitoring efficiency is effectively improved, the electric signal of the gas to be detected is not easily influenced by interference gas, the nonlinear calibration processing is carried out on the electric signal of the gas to be detected, the monitoring accuracy and the anti-interference capability are improved, and the accurate and efficient monitoring of the gas environment of the rail transit station is realized.
In summary, the gas environment monitoring system for a rail transit station provided by the embodiment of the present invention includes: the system comprises an electrochemical sensor array, a signal processor and a main control processor; the electrochemical sensor array is used for generating an electric signal of the gas to be detected; the signal processor comprises a calibration unit used for carrying out nonlinear calibration processing on the electrical signal of the gas to be detected; and the main control processor is used for carrying out feature extraction and identification on the electric signal of the gas to be detected after the nonlinear calibration processing. According to the embodiment of the invention, the electrochemical sensor array is adopted to generate the electric signal of the gas to be detected, so that the monitoring efficiency is effectively improved, the electric signal of the gas to be detected is not easily influenced by interference gas, the signal processor is utilized to carry out nonlinear calibration processing on the electric signal of the gas to be detected, the monitoring accuracy and the anti-interference capability are improved, and therefore, the gas environment of the rail transit station is accurately and efficiently monitored.
According to the embodiment of the invention, the electric signal of the gas to be detected is obtained and is generated by the electrochemical sensor array; carrying out nonlinear calibration processing on the electrical signal of the gas to be detected; and performing characteristic extraction and identification on the electric signal of the gas to be detected after the nonlinear calibration processing. According to the embodiment of the invention, the electrochemical sensor array is adopted to generate the electric signal of the gas to be detected, so that the monitoring efficiency is effectively improved, the electric signal of the gas to be detected is not easily influenced by interference gas, the nonlinear calibration processing is carried out on the electric signal of the gas to be detected, the monitoring accuracy and the anti-interference capability are improved, and the accurate and efficient monitoring of the gas environment of the rail transit station is realized.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are only exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (10)
1. The utility model provides a track traffic station gas environment monitoring system which characterized in that includes: the system comprises an electrochemical sensor array, a signal processor and a main control processor;
the electrochemical sensor array is used for generating an electric signal of the gas to be detected;
the signal processor comprises a calibration unit used for carrying out nonlinear calibration processing on the electrical signal of the gas to be detected;
and the main control processor is used for carrying out feature extraction and identification on the electric signal of the gas to be detected after the nonlinear calibration processing.
2. The rail transit station gas environment monitoring system of claim 1, wherein the electrochemical sensor array is a four-electrode electrochemical sensor array comprising: a working electrode, a reference electrode, a counter electrode and an auxiliary electrode.
3. The track transit station gas environment monitoring system of claim 1, wherein the signal processor further comprises:
the signal amplification circuit is used for carrying out signal amplification processing on the electric signal of the gas to be detected;
the sampling holding circuit is used for tracking or holding the level value of the amplified gas electric signal to be detected;
the analog-to-digital conversion circuit is used for performing analog-to-digital conversion on the electric signal of the gas to be detected after tracking or keeping processing;
the calibration unit is further used for carrying out nonlinear calibration processing on the gas electric signal to be measured after the analog-to-digital conversion.
4. The track transit station gas environment monitoring system of claim 1, wherein the master processor is further configured to: and generating an alarm signal according to the identification result of the electric signal of the gas to be detected.
5. A rail transit station gas environment monitoring method is characterized by comprising the following steps:
obtaining a gas electric signal to be detected, wherein the gas electric signal to be detected is generated by an electrochemical sensor array;
carrying out nonlinear calibration processing on the electrical signal of the gas to be detected;
and performing characteristic extraction and identification on the electric signal of the gas to be detected after the nonlinear calibration processing.
6. The rail transit station gas environment monitoring method as claimed in claim 5, wherein the electrochemical sensor array is a four-electrode electrochemical sensor array comprising: a working electrode, a reference electrode, a counter electrode and an auxiliary electrode.
7. The rail transit station gas environment monitoring method as claimed in claim 5, further comprising:
carrying out signal amplification processing on the electric signal of the gas to be detected;
tracking or keeping the level value of the amplified gas electric signal to be detected;
performing analog-to-digital conversion on the electric signal of the gas to be detected after tracking or keeping processing;
the nonlinear calibration processing is carried out on the electric signal of the gas to be detected, and the nonlinear calibration processing comprises the following steps: and carrying out nonlinear calibration processing on the electrical signal of the gas to be detected after analog-to-digital conversion.
8. The rail transit station gas environment monitoring method as claimed in claim 5, further comprising:
and after the characteristic extraction and identification are carried out on the electric signal of the gas to be detected after the nonlinear calibration processing, generating an alarm signal according to the identification result of the electric signal of the gas to be detected.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of any of claims 5 to 8 when executing the computer program.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program for executing the method of any of claims 5 to 8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010298094.0A CN111398377A (en) | 2020-04-16 | 2020-04-16 | Gas environment monitoring system and method for rail transit station |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010298094.0A CN111398377A (en) | 2020-04-16 | 2020-04-16 | Gas environment monitoring system and method for rail transit station |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111398377A true CN111398377A (en) | 2020-07-10 |
Family
ID=71433230
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010298094.0A Pending CN111398377A (en) | 2020-04-16 | 2020-04-16 | Gas environment monitoring system and method for rail transit station |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111398377A (en) |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN2540633Y (en) * | 2002-06-04 | 2003-03-19 | 复旦大学 | Structure of portable intelligence electronic noise |
| CN101592602A (en) * | 2008-05-28 | 2009-12-02 | 北京市加华博来科技有限公司 | The infrared gas senor system of high sensitivity, high stability |
| CN103901162A (en) * | 2012-12-29 | 2014-07-02 | 北京握奇数据系统有限公司 | Portable in-car gas detection system and method |
| CN105675699A (en) * | 2014-11-16 | 2016-06-15 | 陕西亚泰电器科技有限公司 | Portable formaldehyde detector |
| CN106405007A (en) * | 2016-08-30 | 2017-02-15 | 河北先河环保科技股份有限公司 | Novel calibration method for gas sensors and particulate matter sensors |
| CN106525928A (en) * | 2016-12-22 | 2017-03-22 | 安徽理工大学 | Atmospheric NO2 detection system based on electrochemical transducer |
| CN107132315A (en) * | 2017-05-12 | 2017-09-05 | 盐城工学院 | Signal recognition method, device and volatile organic matter detection device |
| CN107966534A (en) * | 2017-12-25 | 2018-04-27 | 河北先河环保科技股份有限公司 | Toxic and harmful gas network monitor instrument and monitoring data processing method with sensor detecting element |
| CN107976469A (en) * | 2017-11-16 | 2018-05-01 | 吉林大学 | A kind of soil nutrient device for fast detecting based on Artificial Olfactory |
| CN208013138U (en) * | 2018-03-19 | 2018-10-26 | 北京康尔兴科技发展有限公司 | Environmental gas precision quick-check sensor device |
| US20190041371A1 (en) * | 2017-08-03 | 2019-02-07 | Industrial Scientific Corporation | Systems and methods for evaluating toxic gas sensors using electrochemical impedance spectroscopy |
-
2020
- 2020-04-16 CN CN202010298094.0A patent/CN111398377A/en active Pending
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN2540633Y (en) * | 2002-06-04 | 2003-03-19 | 复旦大学 | Structure of portable intelligence electronic noise |
| CN101592602A (en) * | 2008-05-28 | 2009-12-02 | 北京市加华博来科技有限公司 | The infrared gas senor system of high sensitivity, high stability |
| CN103901162A (en) * | 2012-12-29 | 2014-07-02 | 北京握奇数据系统有限公司 | Portable in-car gas detection system and method |
| CN105675699A (en) * | 2014-11-16 | 2016-06-15 | 陕西亚泰电器科技有限公司 | Portable formaldehyde detector |
| CN106405007A (en) * | 2016-08-30 | 2017-02-15 | 河北先河环保科技股份有限公司 | Novel calibration method for gas sensors and particulate matter sensors |
| CN106525928A (en) * | 2016-12-22 | 2017-03-22 | 安徽理工大学 | Atmospheric NO2 detection system based on electrochemical transducer |
| CN107132315A (en) * | 2017-05-12 | 2017-09-05 | 盐城工学院 | Signal recognition method, device and volatile organic matter detection device |
| US20190041371A1 (en) * | 2017-08-03 | 2019-02-07 | Industrial Scientific Corporation | Systems and methods for evaluating toxic gas sensors using electrochemical impedance spectroscopy |
| CN107976469A (en) * | 2017-11-16 | 2018-05-01 | 吉林大学 | A kind of soil nutrient device for fast detecting based on Artificial Olfactory |
| CN107966534A (en) * | 2017-12-25 | 2018-04-27 | 河北先河环保科技股份有限公司 | Toxic and harmful gas network monitor instrument and monitoring data processing method with sensor detecting element |
| CN208013138U (en) * | 2018-03-19 | 2018-10-26 | 北京康尔兴科技发展有限公司 | Environmental gas precision quick-check sensor device |
Non-Patent Citations (1)
| Title |
|---|
| 管海翔等: "基于高灵敏度电化学传感器的有害气体检测系统设计", 《北京化工大学学报(自然科学版)》 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105806898B (en) | A kind of gas concentration scaling method for gas sensor | |
| CN106525928A (en) | Atmospheric NO2 detection system based on electrochemical transducer | |
| CN109781809B (en) | Artificial intelligent calculating method for formaldehyde concentration | |
| CN112688687B (en) | Method and device for acquiring physical information to be tested, computer equipment and storage medium | |
| CN111398377A (en) | Gas environment monitoring system and method for rail transit station | |
| CN111366692B (en) | Gas environment parameter monitoring system and method | |
| CN102095782B (en) | Gas on-line detection device based on micro-nano carbon nano tube film three-electrode | |
| CN106841522B (en) | A kind of gas monitoring method | |
| CN104237762A (en) | Semiconductor laser testing device, system and method | |
| CN205067417U (en) | Soil pH detector | |
| CN105675694A (en) | Smoke component concentration measurement system and smoke component concentration measurement method | |
| CN1462369A (en) | Method for measuring the total concentration of carbon monoxide and hydrocarbons in oxygen by means of ion mobility spectometry | |
| US20230341352A1 (en) | Electrochemical exhaust gas sensor with photolysis | |
| CN105628862A (en) | Vehicle tail gas analyzer | |
| CN102798629B (en) | Method for measuring water sulfide concentration through flow injection chemiluminescence | |
| CN107561360B (en) | A kind of sinusoidal signal method for measuring phase difference based on FPGA and subtraction circuit | |
| CN209372744U (en) | A kind of multichannel intelligent polluted gas monitoring device | |
| CN105917218B (en) | Electrochemical sensing using voltage-current time differentiation | |
| CN209311558U (en) | A kind of atomic low current linear measuring circuit of femto-ampere grade | |
| CN206756935U (en) | Anti-interference lithium battery internal resistance detection device | |
| CN206292203U (en) | A kind of air NO based on electrochemical sensor2Detection system | |
| CN102095792B (en) | Online gas detection device based on carbon-nano-tube membrane micron-nano electrode | |
| Mingesz et al. | Compact USB measurement and analysis system for real-time fluctuation enhanced sensing | |
| CN113203775A (en) | Many gas monitoring intelligence module | |
| CN118033513A (en) | Motor controller TMR three-phase current sensor detection calibration system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200710 |
|
| RJ01 | Rejection of invention patent application after publication |