WO2023135337A1 - Procédé d'étalonnage d'un dispositif ego - Google Patents
Procédé d'étalonnage d'un dispositif ego Download PDFInfo
- Publication number
- WO2023135337A1 WO2023135337A1 PCT/EP2023/051036 EP2023051036W WO2023135337A1 WO 2023135337 A1 WO2023135337 A1 WO 2023135337A1 EP 2023051036 W EP2023051036 W EP 2023051036W WO 2023135337 A1 WO2023135337 A1 WO 2023135337A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- environmental parameter
- primary
- values
- specific
- calibration
- Prior art date
Links
- 238000000034 method Methods 0.000 title claims abstract description 62
- 230000007613 environmental effect Effects 0.000 claims abstract description 256
- 238000005259 measurement Methods 0.000 claims abstract description 71
- 238000000691 measurement method Methods 0.000 claims description 31
- RAHZWNYVWXNFOC-UHFFFAOYSA-N Sulphur dioxide Chemical compound O=S=O RAHZWNYVWXNFOC-UHFFFAOYSA-N 0.000 claims description 18
- 239000003344 environmental pollutant Substances 0.000 claims description 16
- 231100000719 pollutant Toxicity 0.000 claims description 16
- 238000004891 communication Methods 0.000 claims description 10
- 239000013618 particulate matter Substances 0.000 claims description 10
- MWUXSHHQAYIFBG-UHFFFAOYSA-N Nitric oxide Chemical compound O=[N] MWUXSHHQAYIFBG-UHFFFAOYSA-N 0.000 claims description 9
- 239000000126 substance Substances 0.000 claims description 7
- CBENFWSGALASAD-UHFFFAOYSA-N Ozone Chemical compound [O-][O+]=O CBENFWSGALASAD-UHFFFAOYSA-N 0.000 claims description 5
- 230000003287 optical effect Effects 0.000 claims description 5
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 claims description 4
- 229910002091 carbon monoxide Inorganic materials 0.000 claims description 3
- 230000006870 function Effects 0.000 description 66
- JCXJVPUVTGWSNB-UHFFFAOYSA-N nitrogen dioxide Inorganic materials O=[N]=O JCXJVPUVTGWSNB-UHFFFAOYSA-N 0.000 description 23
- 238000012937 correction Methods 0.000 description 20
- 239000003570 air Substances 0.000 description 16
- 238000010801 machine learning Methods 0.000 description 11
- 238000005516 engineering process Methods 0.000 description 10
- 230000008045 co-localization Effects 0.000 description 7
- 238000012549 training Methods 0.000 description 7
- 239000000428 dust Substances 0.000 description 5
- 239000007789 gas Substances 0.000 description 4
- 238000012545 processing Methods 0.000 description 4
- 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 3
- 238000003915 air pollution Methods 0.000 description 3
- 238000013528 artificial neural network Methods 0.000 description 3
- 238000006243 chemical reaction Methods 0.000 description 3
- 230000001419 dependent effect Effects 0.000 description 3
- 238000001658 differential optical absorption spectrophotometry Methods 0.000 description 3
- 239000002245 particle Substances 0.000 description 3
- 238000012805 post-processing Methods 0.000 description 3
- 238000007637 random forest analysis Methods 0.000 description 3
- 238000012706 support-vector machine Methods 0.000 description 3
- 238000012360 testing method Methods 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 230000002123 temporal effect Effects 0.000 description 2
- 230000003442 weekly effect Effects 0.000 description 2
- 238000000862 absorption spectrum Methods 0.000 description 1
- 230000002776 aggregation Effects 0.000 description 1
- 238000004220 aggregation Methods 0.000 description 1
- 239000012080 ambient air Substances 0.000 description 1
- 238000000149 argon plasma sintering Methods 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 230000002238 attenuated effect Effects 0.000 description 1
- 238000003705 background correction Methods 0.000 description 1
- 230000001427 coherent effect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000002848 electrochemical method Methods 0.000 description 1
- 230000008030 elimination Effects 0.000 description 1
- 238000003379 elimination reaction Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 238000000892 gravimetry Methods 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000013507 mapping Methods 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- AFAIELJLZYUNPW-UHFFFAOYSA-N pararosaniline free base Chemical compound C1=CC(N)=CC=C1C(C=1C=CC(N)=CC=1)=C1C=CC(=N)C=C1 AFAIELJLZYUNPW-UHFFFAOYSA-N 0.000 description 1
- 230000010363 phase shift Effects 0.000 description 1
- 238000007781 pre-processing Methods 0.000 description 1
- 230000008929 regeneration Effects 0.000 description 1
- 238000011069 regeneration method Methods 0.000 description 1
- 230000035945 sensitivity Effects 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D18/00—Testing or calibrating apparatus or arrangements provided for in groups G01D1/00 - G01D15/00
- G01D18/008—Testing or calibrating apparatus or arrangements provided for in groups G01D1/00 - G01D15/00 with calibration coefficients stored in memory
-
- 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
- G01N33/0006—Calibrating gas analysers
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/02—Investigating particle size or size distribution
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/06—Investigating concentration of particle suspensions
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N2015/0042—Investigating dispersion of solids
- G01N2015/0046—Investigating dispersion of solids in gas, e.g. smoke
-
- 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
Definitions
- the self-measurement technology for a respective environmental parameter it is possible for the self-measurement technology for a respective environmental parameter to be optical and/or electrochemical or based on an optical and/or electrochemical measurement method, whereas the reference measurement technology for this respective environmental parameter is chemical and/or gravimetric or based on a optical and/or electronic measuring methods.
- a respective intrinsic sensor is usually more cost-effective than the respective reference sensor for the respective environmental parameter.
- the respective reference sensor measures the respective environmental parameter more precisely than the respective self-sensor and supplies correspondingly more precise results.
- the method it is possible to To improve the accuracy of self-sensors and thus of self-devices.
- a large number of different environmental parameters are conceivable as environmental parameters or specific environmental parameters.
- a specific intrinsic measurement technique is used for each of the large number of different environmental parameters for its measurement, and accordingly a specific type of intrinsic sensors each, which are each based on this specific intrinsic measurement technique.
- raw values for particulate matter (PM10, PM2.5) used as a specific environmental parameter and for the temperature and / or relative humidity as additional environmental parameters.
- a time or a time interval is provided between points in time t 1 and t 2 . It is taken into account here that at least n regional reference sensors Ra, Rb, Rx have similar NO2 concentrations. It is also taken into account that the temperature, as an environmental parameter, is in a limit value range provided for this purpose, which is defined by a minimum value and a maximum value [Tempi , Temp2] for the reference value, and that the air humidity, as an environmental parameter, is in a limit value range [h1 , h2] for the reference value bounded by a minimum and a maximum value.
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Chemical & Material Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- Engineering & Computer Science (AREA)
- Combustion & Propulsion (AREA)
- Food Science & Technology (AREA)
- Medicinal Chemistry (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Testing Or Calibration Of Command Recording Devices (AREA)
Abstract
L'invention se rapporte à un procédé d'étalonnage d'un dispositif ego secondaire (S1, S2, S3, S4, Sj) pour un paramètre environnemental particulier à déterminer à l'aide du dispositif ego secondaire (S1, S2, S3, S4, Sj), le dispositif ego secondaire (S1, S2, S3, S4, Sj) comportant un certain nombre de capteurs ego secondaires, dans lequel : - au niveau d'au moins un emplacement d'étalonnage (K1, K2, Ki), des valeurs brutes pour le paramètre environnemental particulier sont déterminées par au moins un capteur ego primaire particulier d'au moins un dispositif ego primaire (P1, P2, Pi) qui comporte un certain nombre de capteurs ego primaires, des valeurs brutes pour au moins un autre paramètre environnemental sont déterminées par au moins un autre capteur ego primaire de l'au moins un dispositif ego primaire (P1, P2, Pi), et des valeurs de référence pour le paramètre environnemental particulier sont déterminées par au moins un capteur de référence particulier (R1, R2, Ri), une fonction d'étalonnage pour le paramètre environnemental particulier étant déterminée en fonction des valeurs brutes pour le paramètre environnemental particulier, des valeurs brutes pour l'au moins un autre paramètre environnemental et des valeurs de référence pour le paramètre environnemental particulier ; - et, au niveau d'un emplacement de mesure (M1, M2, M3, M4, Mj), des valeurs brutes qui sont déterminées par le dispositif ego secondaire (S1, S2, S3, S4, Sj) pour le paramètre environnemental particulier sont traitées en tenant compte de la fonction d'étalonnage et, à partir de cela, des valeurs de mesure étalonnées pour paramètre environnemental particulier sont déterminées.
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
DE102022101007.4A DE102022101007B4 (de) | 2022-01-17 | 2022-01-17 | Verfahren zum Kalibrieren eines Eigengeräts |
DE102022101007.4 | 2022-01-17 |
Publications (1)
Publication Number | Publication Date |
---|---|
WO2023135337A1 true WO2023135337A1 (fr) | 2023-07-20 |
Family
ID=85036389
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/EP2023/051036 WO2023135337A1 (fr) | 2022-01-17 | 2023-01-17 | Procédé d'étalonnage d'un dispositif ego |
Country Status (2)
Country | Link |
---|---|
DE (1) | DE102022101007B4 (fr) |
WO (1) | WO2023135337A1 (fr) |
Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP2570807A1 (fr) * | 2011-09-16 | 2013-03-20 | Siemens Aktiengesellschaft | Procédé et appareil de contrôle pour le calibrage de champ d'un détecteur de gaz |
DE102015001500A1 (de) | 2015-02-05 | 2016-08-11 | Hella Kgaa Hueck & Co. | Verfahren zur Kalibration mindestens eines Sensors, insbesondere eines Drucksensors, mit mindestens einer signalleitenden Verbindung zu mindestens einem Signalwandler |
US10041862B2 (en) | 2014-12-02 | 2018-08-07 | Tsi, Incorporated | System and method of conducting particle monitoring using low cost particle sensors |
US10054534B1 (en) * | 2015-07-08 | 2018-08-21 | Airviz Inc. | Group calibration of environmental sensors |
US20190195769A1 (en) * | 2017-12-22 | 2019-06-27 | Honeywell International Inc. | Network assisted particulate matter sensor |
DE102018133258A1 (de) * | 2017-12-22 | 2019-06-27 | Honeywell International Inc. | Netzwerkgestützter partikelsensor |
EP3617663A1 (fr) | 2018-08-29 | 2020-03-04 | Siemens Aktiengesellschaft | Procédé de vérification des capteurs d'un réseau de capteurs et réseau de capteurs |
WO2020157582A2 (fr) | 2019-01-30 | 2020-08-06 | Aeroqual Ltd. | Procédé d'étalonnage de réseaux de capteurs environnementaux |
CN113358732A (zh) * | 2020-07-21 | 2021-09-07 | 艾感科技(广东)有限公司 | 一种气体传感器的远程校准方法及系统 |
-
2022
- 2022-01-17 DE DE102022101007.4A patent/DE102022101007B4/de active Active
-
2023
- 2023-01-17 WO PCT/EP2023/051036 patent/WO2023135337A1/fr unknown
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP2570807A1 (fr) * | 2011-09-16 | 2013-03-20 | Siemens Aktiengesellschaft | Procédé et appareil de contrôle pour le calibrage de champ d'un détecteur de gaz |
US10041862B2 (en) | 2014-12-02 | 2018-08-07 | Tsi, Incorporated | System and method of conducting particle monitoring using low cost particle sensors |
DE102015001500A1 (de) | 2015-02-05 | 2016-08-11 | Hella Kgaa Hueck & Co. | Verfahren zur Kalibration mindestens eines Sensors, insbesondere eines Drucksensors, mit mindestens einer signalleitenden Verbindung zu mindestens einem Signalwandler |
US10054534B1 (en) * | 2015-07-08 | 2018-08-21 | Airviz Inc. | Group calibration of environmental sensors |
US20190195769A1 (en) * | 2017-12-22 | 2019-06-27 | Honeywell International Inc. | Network assisted particulate matter sensor |
DE102018133258A1 (de) * | 2017-12-22 | 2019-06-27 | Honeywell International Inc. | Netzwerkgestützter partikelsensor |
EP3617663A1 (fr) | 2018-08-29 | 2020-03-04 | Siemens Aktiengesellschaft | Procédé de vérification des capteurs d'un réseau de capteurs et réseau de capteurs |
WO2020157582A2 (fr) | 2019-01-30 | 2020-08-06 | Aeroqual Ltd. | Procédé d'étalonnage de réseaux de capteurs environnementaux |
CN113358732A (zh) * | 2020-07-21 | 2021-09-07 | 艾感科技(广东)有限公司 | 一种气体传感器的远程校准方法及系统 |
Also Published As
Publication number | Publication date |
---|---|
DE102022101007B4 (de) | 2023-11-02 |
DE102022101007A1 (de) | 2023-07-20 |
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