CN106970180B - Poison reagent leakage monitoring method - Google Patents
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- CN106970180B CN106970180B CN201710062476.1A CN201710062476A CN106970180B CN 106970180 B CN106970180 B CN 106970180B CN 201710062476 A CN201710062476 A CN 201710062476A CN 106970180 B CN106970180 B CN 106970180B
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- 238000000034 method Methods 0.000 title claims abstract description 17
- 239000003153 chemical reaction reagent Substances 0.000 title claims abstract description 13
- 238000012544 monitoring process Methods 0.000 title claims abstract description 12
- 239000002574 poison Substances 0.000 title 1
- 231100000614 poison Toxicity 0.000 title 1
- 238000001514 detection method Methods 0.000 claims description 71
- 230000001427 coherent effect Effects 0.000 claims description 27
- 231100000331 toxic Toxicity 0.000 claims description 10
- 230000002588 toxic effect Effects 0.000 claims description 10
- 230000009471 action Effects 0.000 claims description 9
- 150000004008 N-nitroso compounds Chemical class 0.000 claims description 6
- 150000004982 aromatic amines Chemical class 0.000 claims description 6
- 230000008569 process Effects 0.000 claims description 4
- 238000012545 processing Methods 0.000 claims description 4
- 230000005284 excitation Effects 0.000 claims description 3
- 238000011084 recovery Methods 0.000 claims description 3
- 230000000284 resting effect Effects 0.000 claims description 3
- 231100000167 toxic agent Toxicity 0.000 claims description 2
- 239000003440 toxic substance Substances 0.000 claims description 2
- 230000035945 sensitivity Effects 0.000 abstract description 2
- 231100000572 poisoning Toxicity 0.000 abstract 1
- 230000000607 poisoning effect Effects 0.000 abstract 1
- 239000007789 gas Substances 0.000 description 55
- UHOVQNZJYSORNB-UHFFFAOYSA-N Benzene Chemical compound C1=CC=CC=C1 UHOVQNZJYSORNB-UHFFFAOYSA-N 0.000 description 3
- 150000001875 compounds Chemical class 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- YXHKONLOYHBTNS-UHFFFAOYSA-N Diazomethane Chemical compound C=[N+]=[N-] YXHKONLOYHBTNS-UHFFFAOYSA-N 0.000 description 1
- KRHYYFGTRYWZRS-UHFFFAOYSA-N Fluorane Chemical compound F KRHYYFGTRYWZRS-UHFFFAOYSA-N 0.000 description 1
- NINIDFKCEFEMDL-UHFFFAOYSA-N Sulfur Chemical compound [S] NINIDFKCEFEMDL-UHFFFAOYSA-N 0.000 description 1
- 239000002168 alkylating agent Substances 0.000 description 1
- 229940100198 alkylating agent Drugs 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 229910000040 hydrogen fluoride Inorganic materials 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 125000005575 polycyclic aromatic hydrocarbon group Chemical group 0.000 description 1
- 229910052717 sulfur Inorganic materials 0.000 description 1
- 239000011593 sulfur Substances 0.000 description 1
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- 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
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- Chemical & Material Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
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- Food Science & Technology (AREA)
- Combustion & Propulsion (AREA)
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- Investigating Or Analyzing Materials By The Use Of Electric Means (AREA)
Abstract
The invention discloses a kind of murder by poisoning reagent leakage monitoring methods, including controller, the first wireless transceiver, temperature sensor, humidity sensor and m gas-detecting device；Each gas-detecting device includes the second wireless transceiver, single-chip microcontroller and 9 gas sensors；Controller is electrically connected with the first wireless transceiver, temperature sensor and humidity sensor respectively；The single-chip microcontroller of each gas-detecting device is electrically connected with the second wireless transceiver and each gas sensor respectively；Each gas sensor is respectively SB-19-00 sensor, SB-AD3-00 sensor, TGS-2600 sensor, TGS-202 sensor, TGS-2620 sensor, TGS-242 sensor, TGS-813 sensor, TGS-2620 sensor and SB-42A-00 sensor.The present invention, which has, detects with strong points, high sensitivity, the high feature of accuracy.
Description
Technical Field
The invention relates to the technical field of laboratory reagent leakage monitoring, in particular to a toxic reagent leakage monitoring method with strong detection pertinence and high accuracy.
Background
A Wireless Sensor Network (WSN) is a distributed sensing network whose distal end is a Sensor that can sense and inspect the outside world. The sensors in the WSN communicate in a wireless mode, so that the network setting is flexible, the position of equipment can be changed at any time, and the equipment can be connected with the Internet in a wired or wireless mode. A multi-hop ad hoc network formed by wireless communication. The WSN is widely applied to multiple fields of military affairs, intelligent transportation, environment monitoring, medical treatment and health care and the like.
In laboratory environments, aromatic amines and derivatives thereof, N-nitroso compounds, alkylating agents, polycyclic aromatic hydrocarbons, sulfur-containing compounds, benzene and compounds thereof, hydrogen fluoride, diazomethane and the like are common volatile toxic and harmful reagents, and although some laboratories carry out personal management and independent space storage of toxic and harmful reagents, after all, the reagents are manually taken out of warehouses and laboratory operations are carried out in the laboratory environments, so that laboratory safety accidents caused by inappropriate operating and storing modes in the experimental process are endless. Therefore, it is an important and difficult task to effectively monitor toxic and harmful gases in a laboratory environment.
Disclosure of Invention
The invention aims to overcome the defect that the leakage of arylamine, derivatives thereof and N-nitroso compounds in a laboratory cannot be detected in the prior art, and provides a toxic reagent leakage monitoring method with strong detection pertinence and high accuracy.
In order to achieve the purpose, the invention adopts the following technical scheme:
a toxic and harmful reagent leakage monitoring method comprises a controller, a first wireless transceiver, a temperature sensor, a humidity sensor and m gas detection devices; each gas detection device comprises a second wireless transceiver, a singlechip and 9 gas sensors; the controller is electrically connected with the first wireless transceiver, the temperature sensor and the humidity sensor respectively; the singlechip of each gas detection device is respectively and electrically connected with the second wireless transceiver and each gas sensor; each gas sensor is respectively an SB-19-00 sensor, an SB-AD3-00 sensor, a TGS-2600 sensor, a TGS-202 sensor, a TGS-2620 sensor, a TGS-242 sensor, a TGS-813 sensor, a TGS-2620 sensor and an SB-42A-00 sensor;
the method comprises the following steps:
(1-1) the controller controls each sensor to operate, and the second wireless transceiver transmits the detection value of each gas sensor 1 time at intervals of T1;
(1-2) selecting detection values of a temperature sensor, a humidity sensor and each gas sensor in a time period with the length of L in the front time and the rear time by a controller; the two preceding and succeeding time periods are respectively a time period A and a time period B, and if L is n multiplied by T1, n detection values of each sensor in the time period A and the time period B are obtained through control;
(1-3) correcting the detection value of each gas sensor by using the detection values of the temperature sensor and the humidity sensor;
(1-4) judging the similarity of Sc of each gas sensor in the time period A and the time period B;
(1-5) the controller utilizes the remaining y during the time period BiComposing a detection signal I '(t) of each gas sensor, calculating an average signal I (t) of I' (t) of all gas sensors;
(1-6) inputting I (t) into a coherent resonance model, and adjusting a mu value of the coherent resonance model to enable the coherent resonance model to resonate;
(1-7) outputting the cross correlation coefficient by the coherent resonance model, and if the cross correlation coefficient is in the interval [0.85,1.1], judging that the arylamine, the derivative thereof or the N-nitroso compound leaks in the laboratory by the controller.
The 9 gas sensors are used for detecting the volatile gas of the leaked toxic reagent, 9 different gas sensors can lock the volatile gas of arylamine, derivatives thereof or N-nitroso compounds in all directions, the detection value of each gas sensor is corrected by adopting the detection values of the temperature and humidity sensors, the signal fluctuation of the sensors caused by the change of the temperature and humidity base lines can be effectively eliminated, and the detection accuracy is improved; the similarity processing further improves the accuracy of the detection.
Preferably, the step (1-1) comprises the steps of:
the controller controls the temperature sensor and the humidity sensor to start detecting; the controller sends a work starting instruction through the first wireless transceiver, after the second wireless transceiver of each gas detection device receives the instruction, the single chip microcomputer of each gas detection device controls each gas sensor to start detecting, and the single chip microcomputer controls the second wireless transceiver to send detection values of each gas sensor for 1 time at intervals of T1.
Preferably, the step (1-3) comprises the steps of:
the following processing is performed for each detection value S101 of each gas sensor in the period a and the period B:
setting the detection values of the temperature sensor and the humidity sensor as S102 and S103 respectively;
controller using formulaThe corrected detection value Sc of each gas sensor is calculated.
Preferably, the step (1-4) comprises the steps of:
setting each Sc of the time period A to xiEach Sc of the period B is yi，i＝1,2,…,n；
Using formulasCalculating the similarity of Sc corresponding to the two time periods;
if si<1, then will be equal to siCorresponding to yiDeleting; wherein,is the average of all Sc over the time period a,is the average of all Sc over time period B。
Preferably, the coherent resonance model is
Wherein, VTIs a model trigger action threshold potential, VRIs the recovery potential after the trigger unit action is completed, mu tau is the resting state parameter after the model trigger action, VR<VTξ (t) Gaussian random excitation parameter, V (t) is the real-time potential of the coherent resonance model, μ is the adjustment coefficient of the coherent resonance model, τ is the rest constant of the coherent resonance model, and V (t)+) Is a coherent resonance model at t+Real-time potential of time, V2(t) is the square of V (t), μ2τ is μ2The product of τ.
Preferably, the device further comprises m elliptical tracks arranged in the laboratory, and each gas detection device is respectively positioned on each elliptical track; each gas detection device comprises a shell, a permanent magnet is arranged in the shell, and a plurality of electromagnets which are arranged at intervals are arranged on each oval track; the controller is respectively connected with each electromagnet;
in the working process of each gas detection device, the controller controls the electromagnets on the oval track where the gas detection devices are located to be sequentially electrified, so that attraction force is sequentially generated between each electromagnet and the permanent magnet, and the gas detection devices move on the oval track. One end of each elliptical track is close to the test bed of the laboratory, and the other end of each elliptical track is far away from the test bed of the laboratory.
Therefore, the invention has the following beneficial effects: the detection pertinence is strong, the sensitivity is high, and the accuracy is high.
Drawings
FIG. 1 is a functional block diagram of the present invention;
fig. 2 is a flow chart of the present invention.
In the figure: the device comprises a controller 1, a first wireless transceiver 2, a temperature sensor 3, a humidity sensor 4, a gas detection device 5, a second wireless transceiver 51, a singlechip 52 and a gas sensor 53.
Detailed Description
The invention is further described with reference to the following figures and detailed description.
The embodiment shown in fig. 1 is a toxic agent leakage monitoring method, which comprises a controller 1, a first wireless transceiver 2, a temperature sensor 3, a humidity sensor 4 and 10 gas detection devices 5; each gas detection device comprises a second wireless transceiver 51, a singlechip 52 and 9 gas sensors 53; the controller is electrically connected with the first wireless transceiver, the temperature sensor and the humidity sensor respectively; the singlechip of each gas detection device is respectively and electrically connected with the second wireless transceiver and each gas sensor; each gas sensor is respectively an SB-19-00 sensor, an SB-AD3-00 sensor, a TGS-2600 sensor, a TGS-202 sensor, a TGS-2620 sensor, a TGS-242 sensor, a TGS-813 sensor, a TGS-2620 sensor and an SB-42A-00 sensor;
the method comprises the following steps:
step 100, the sensors start to work, and the second wireless transceiver sends detection values of all the gas sensors;
the controller controls the temperature sensor and the humidity sensor to start detecting; the controller sends a work starting instruction through the first wireless transceiver, after the second wireless transceiver of each gas detection device receives the instruction, the single chip microcomputer of each gas detection device controls each gas sensor to start detection, and the single chip microcomputer controls the second wireless transceiver to send detection values of each gas sensor for 1 time every 1 second;
step 200, selecting detection values of a time period A and a time period B
The controller selects detection values of a temperature sensor, a humidity sensor and each gas sensor in a time period of which the front length and the rear length are L-30 minutes; wherein, the two time periods before and after are respectively a time period A and a time period B, and 1800 detection values of each sensor in the time period A and the time period B are controlled and obtained;
step 300, correcting the detection value of each gas sensor by using the detection values of the temperature sensor and the humidity sensor;
the following processing is performed for each detection value S101 of each gas sensor in the period a and the period B:
setting the detection values of the temperature sensor and the humidity sensor as S102 and S103 respectively;
controller using formulaThe corrected detection value Sc of each gas sensor is calculated.
Step 400, judging the similarity of Sc of each gas sensor in the time period A and the time period B;
setting each Sc of the time period A to xiEach Sc of the period B is yi，i＝1,2,…,n；
Using formulasCalculating the similarity of Sc corresponding to the two time periods;
if si<1, then will be equal to siCorresponding to yiDeleting; wherein,is the average of all Sc over the time period a,is the average of all Sc over time period B.
Step 500, the controller utilizes the remaining y in time period BiComposing a detection signal I '(t) of each gas sensor, calculating an average signal I (t) of I' (t) of all gas sensors;
step 600, inputting I (t) into a coherent resonance model, and adjusting a mu value of the coherent resonance model to enable the coherent resonance model to resonate;
the coherent resonance model is
Wherein, VTIs a model trigger action threshold potential, VRIs the recovery potential after the trigger unit action is completed, mu tau is the resting state parameter after the model trigger action, VR<VTξ (t) Gaussian random excitation parameter, V (t) is the real-time potential of the coherent resonance model, μ is the adjustment coefficient of the coherent resonance model, τ is the rest constant of the coherent resonance model, and V (t)+) Is a coherent resonance model at t+Real-time potential of time, V2(t) is the square of V (t), μ2τ is μ2The product of τ.
Step 700, the coherent resonance model outputs the cross correlation coefficient, if the cross correlation coefficient is in the interval [0.85,1.1], the controller judges that the arylamine, the derivative thereof or the N-nitroso compound leaks in the laboratory.
The gas detection device also comprises m elliptical tracks arranged in a laboratory, and each gas detection device is respectively positioned on each elliptical track; each gas detection device comprises a shell, a permanent magnet is arranged in the shell, and a plurality of electromagnets which are arranged at intervals are arranged on each oval track; the controller is respectively connected with each electromagnet;
in the working process of each gas detection device, the controller controls the electromagnets on the oval track where the gas detection devices are located to be sequentially electrified, so that attraction force is sequentially generated between each electromagnet and the permanent magnet, and the gas detection devices move on the oval track.
It should be understood that this example is for illustrative purposes only and is not intended to limit the scope of the present invention. Further, it should be understood that various changes or modifications of the present invention may be made by those skilled in the art after reading the teaching of the present invention, and such equivalents may fall within the scope of the present invention as defined in the appended claims.
Claims (3)
1. A toxic and harmful reagent leakage monitoring method is characterized by comprising a controller (1), a first wireless transceiver (2), a temperature sensor (3), a humidity sensor (4) and m gas detection devices (5); each gas detection device comprises a second wireless transceiver (51), a singlechip (52) and 9 gas sensors (53); the controller is electrically connected with the first wireless transceiver, the temperature sensor and the humidity sensor respectively; the singlechip of each gas detection device is respectively and electrically connected with the second wireless transceiver and each gas sensor; each gas sensor is respectively an SB-19-00 sensor, an SB-AD3-00 sensor, a TGS-2600 sensor, a TGS-202 sensor, a TGS-2620 sensor, a TGS-242 sensor, a TGS-813 sensor, a TGS-2620 sensor and an SB-42A-00 sensor;
the method comprises the following steps:
(1-1) the controller controls each sensor to operate, and the second wireless transceiver transmits the detection value of each gas sensor 1 time at intervals of T1;
(1-2) selecting detection values of a temperature sensor, a humidity sensor and each gas sensor in a time period with the length of L in the front time and the rear time by a controller; the two preceding and succeeding time periods are respectively a time period A and a time period B, and if L is n multiplied by T1, n detection values of each sensor in the time period A and the time period B are obtained through control;
(1-3) correcting the detection value of each gas sensor by using the detection values of the temperature sensor and the humidity sensor;
the following processing is performed for each detection value S101 of each gas sensor in the period a and the period B:
setting the detection values of the temperature sensor and the humidity sensor as S102 and S103 respectively;
controller using formulaCalculating a corrected detection value Sc of each gas sensor;
(1-4) judging the similarity of Sc of each gas sensor in the time period A and the time period B;
setting each Sc of the time period A to xiEach Sc of the period B is yi，i＝1,2,…,n；
Using formulasCalculating the similarity of Sc corresponding to the two time periods;
if si<1, then will be equal to siCorresponding to yiDeleting; wherein,is time of dayThe average of all Sc within segment A,is the average of all Sc over time period B;
(1-5) the controller utilizes the remaining y during the time period BiComposing a detection signal I '(t) of each gas sensor, calculating an average signal I (t) of I' (t) of all gas sensors;
(1-6) inputting I (t) into a coherent resonance model, and adjusting a mu value of the coherent resonance model to enable the coherent resonance model to resonate;
the coherent resonance model is
Wherein, VTIs a model trigger action threshold potential, VRIs the recovery potential after the trigger unit action is completed, mu tau is the resting state parameter after the model trigger action, VR<VTξ (t) Gaussian random excitation parameter, V (t) is the real-time potential of the coherent resonance model, μ is the adjustment coefficient of the coherent resonance model, τ is the rest constant of the coherent resonance model, and V (t)+) Is a coherent resonance model at t+Real-time potential of time, V2(t) is the square of V (t), μ2τ is μ2The product of τ;
(1-7) outputting the cross correlation coefficient by the coherent resonance model, and if the cross correlation coefficient is in the interval [0.85,1.1], judging that the arylamine, the derivative thereof or the N-nitroso compound leaks in the laboratory by the controller.
2. The toxic agent leakage monitoring method according to claim 1, wherein the step (1-1) comprises the steps of:
the controller controls the temperature sensor and the humidity sensor to start detecting; the controller sends a work starting instruction through the first wireless transceiver, after the second wireless transceiver of each gas detection device receives the instruction, the single chip microcomputer of each gas detection device controls each gas sensor to start detecting, and the single chip microcomputer controls the second wireless transceiver to send detection values of each gas sensor for 1 time at intervals of T1.
3. The toxic reagent leakage monitoring method according to claim 1 or 2, further comprising m elliptical tracks provided in a laboratory, each gas detection device being located on each elliptical track, respectively; each gas detection device comprises a shell, a permanent magnet is arranged in the shell, and a plurality of electromagnets which are arranged at intervals are arranged on each oval track; the controller is respectively connected with each electromagnet;
in the working process of each gas detection device, the controller controls the electromagnets on the oval track where the gas detection devices are located to be sequentially electrified, so that attraction force is sequentially generated between each electromagnet and the permanent magnet, and the gas detection devices move on the oval track.
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| CN1588030A (en) * | 2004-07-09 | 2005-03-02 | 大连理工大学 | Portable gas detection analyzer with temperature and humidity compensation function |
| US7916275B2 (en) * | 2007-09-19 | 2011-03-29 | Asml Netherlands B.V. | Methods of characterizing similarity or consistency in a set of entities |
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