WO2018202909A1 - Détection de matière particulaire - Google Patents

Détection de matière particulaire Download PDF

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Publication number
WO2018202909A1
WO2018202909A1 PCT/EP2018/061677 EP2018061677W WO2018202909A1 WO 2018202909 A1 WO2018202909 A1 WO 2018202909A1 EP 2018061677 W EP2018061677 W EP 2018061677W WO 2018202909 A1 WO2018202909 A1 WO 2018202909A1
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WO
WIPO (PCT)
Prior art keywords
particle
air flow
particle sensor
sensor device
signal
Prior art date
Application number
PCT/EP2018/061677
Other languages
English (en)
Inventor
Jun Shi
Weizhong Chen
Peng Zhang
Original Assignee
Koninklijke Philips N.V.
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Priority claimed from EP17176931.8A external-priority patent/EP3418720A1/fr
Application filed by Koninklijke Philips N.V. filed Critical Koninklijke Philips N.V.
Publication of WO2018202909A1 publication Critical patent/WO2018202909A1/fr

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Classifications

    • 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
    • G01N15/10—Investigating individual particles
    • G01N15/14—Optical investigation techniques, e.g. flow cytometry
    • G01N15/1429—Signal processing
    • G01N15/1431—Signal processing the electronics being integrated with the analyser, e.g. hand-held devices for on-site investigation
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N1/00—Sampling; Preparing specimens for investigation
    • G01N1/02—Devices for withdrawing samples
    • G01N1/22—Devices for withdrawing samples in the gaseous state
    • G01N1/2273—Atmospheric sampling
    • 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
    • G01N15/10—Investigating individual particles
    • G01N15/14—Optical investigation techniques, e.g. flow cytometry
    • G01N15/1456—Optical investigation techniques, e.g. flow cytometry without spatial resolution of the texture or inner structure of the particle, e.g. processing of pulse signals
    • G01N15/1459—Optical investigation techniques, e.g. flow cytometry without spatial resolution of the texture or inner structure of the particle, e.g. processing of pulse signals the analysis being performed on a sample stream
    • 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
    • G01N15/075—Investigating concentration of particle suspensions by optical means
    • 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
    • G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
    • G01N15/10—Investigating individual particles
    • G01N15/14—Optical investigation techniques, e.g. flow cytometry
    • G01N2015/1486—Counting the particles

Definitions

  • the present invention relates to a particle sensor device for determining an ambient particle concentration in an air flow through the particle sensor device, the particle sensor device comprising an air flow channel extending between a first opening open to an ambient environment including the ambient particle concentration and a second opening open to said ambient environment, the air flow channel comprising a sensing area including a particle sensor; and a processor coupled to the particle sensor and configured to derive the ambient particle concentration.
  • the present invention further relates to an electronic device comprising such a particle sensor device.
  • the present invention still further relates to a method of determining an ambient particle concentration with such a particle sensor device.
  • Most particle sensor devices use a light scattering principle to measure the particle concentration.
  • Light scattering can be induced when particles go through a sensing area of the particle sensor device, where the scattered light is detected and transformed into electrical signals, which may be amplified and processed.
  • the number and diameter of particles can be obtained by analysis of such electrical signals due to the fact that the number of the signals can be correlated to the number of the particles in the sensing area, with the signal waveform containing information regarding the particle's diameter.
  • Different types of light scattering based sensor are known.
  • One known principle is a LED based sensor as for example disclosed in JP2008145353A and CN104089858A.
  • Another known principle is a laser-based sensor, for example, a laser-based PM2.5 detector used to detect atmospheric particles having a size (diameter) of less than 2.5 ⁇ , as for example disclosed in CN203551443U, CN203824872U and CN105021501A.
  • the basic principle of such a laser-based PM2.5 detector is that the laser scattering by the particles may be detected with an optical sensor arranged to produce a pulse signal output, which may be converted into a digital signal.
  • the air flow through such a sensor is typically generated by a resistor, fan, pump or the like.
  • the air flow speed through the particle sensor device can be accurately controlled, as required for an accurate determination of the particle concentration per unit volume of air.
  • such components are relatively costly, which creates undesired upward pressure on the manufacturing cost of such particle sensor devices, in particular where such particle sensor devices are to be deployed in a competitive, small margin, technical field, e.g. electronic devices such as consumer electronic devices.
  • electronic devices such as consumer electronic devices.
  • such components increase the size of the particle sensor device as well as increase the power consumption of the particle sensor device, which may be undesirable in certain application domains, e.g. wearable devices.
  • such components generate heat when in use, which may cause temperature fluctuations and associated measurement error in the particle sensor device.
  • US 2016/0025628 Al discloses a mobile device which senses particulate matter.
  • the mobile device includes a housing having an air flow path through which air flows when the mobile device is shaken; an inertia sensor that detects acceleration of the mobile device; a light- scattering type sensor that irradiates the air flow path with light and detects particulate matter in air flowing through the air flow path; and a controller that includes a counter for counting the particulate matter detected by the light- scattering type sensor, and a flow rate calculator for detecting an air flow rate of the air flow path based on a detection signal of the inertia sensor.
  • a controller that includes a counter for counting the particulate matter detected by the light- scattering type sensor, and a flow rate calculator for detecting an air flow rate of the air flow path based on a detection signal of the inertia sensor.
  • the present invention seeks to provide a particle sensor device for accurately determining an ambient particle concentration in an air flow through the particle sensor device on windy days.
  • the present invention further relates to an electronic device comprising such a particle sensor device.
  • the present invention still further relates to a method of accurately determining an ambient particle concentration with such a particle sensor device.
  • a particle sensor device for determining an ambient particle concentration in an air flow through the particle sensor device, the particle sensor device comprising an air flow channel extending between a first opening open to an ambient environment including the ambient particle concentration and a second opening open to said ambient environment, the air flow channel comprising a sensing area including a particle sensor; and a processor coupled to the particle sensor and configured to derive the ambient particle concentration from a first signal received from the particle sensor, said first signal being indicative of a first particle count in a wind-induced air flow through the air flow channel when the particle sensor device is stationary; and a further signal received from the particle sensor, said at least one further signal being indicative of a further particle count in an air flow through the air flow channel induced by a shaking motion of the particle sensor device.
  • the present invention is based on the insight that wind can influence the air flow speed through the air flow channel of such a particle sensor device, such that in relatively high winds the actual flow speed can significantly deviate from the expected air flow speed resulting from a motion, e.g. a defined shaking motion, of the particle sensor device, which causes inaccuracies in the particulate matter concentration determined with the processor of such a particle sensor device.
  • a motion e.g. a defined shaking motion
  • the particle sensor device being configured to derive the ambient particulate matter concentration from a two-point measurement including a measurement in which the device is to be kept stationary in a general direction of the wind such that a particulate matter concentration in the ambient air can be derived from an air flow through the air flow channel induced by the wind alone, which measurement can be used to correct the other measurement of the two-point measurement in which the particle sensor device is to be shaken by a user in order to induce an air flow through the air flow channel.
  • the processor preferably is configured to process the first signal and the further signal to eliminate a wind-induced contribution to the further particle count.
  • the processor is configured to derive a wind speed from the first signal and to eliminate the wind-induced contribution to the further particle count only if said derived wind speed exceeds a pre-defined threshold.
  • the particle sensor may be any suitable design, although preferably the particle sensor comprises an optical module for emitting light through the sensing area and a detector for detecting light scattered by particles in the air flow, and wherein the processor is coupled to the detector as such a particle sensor can accurately determine a particle count in the air flow channel in an energy-efficient manner.
  • the particle sensor device further comprises an inertia sensor for determining a speed of the particle sensor device induced by said shaking motion, wherein the processor is configured to derive the ambient particle concentration from the first signal, the further signal and the determined speed. In this manner, the air flow speed through the air flow channel can be accurately determined.
  • the shaking motion is a predefined motion
  • the processor is configured to derive the ambient particle concentration from the first signal, the further signal and a predefined particle sensor device speed associated with said predefined shaking motion.
  • the particle sensor device may further comprise an output device responsive to the processor, wherein the processor is adapted to provide user instructions on the output device for instructing a user to move the particle sensor device in accordance with the predefined movement.
  • the particle sensor device is a wearable device such that a user can obtain ambient particle sensor concentrations whilst on the go, e.g. when exercising or the like, which for example may provide the user with invaluable insights as to different levels of exposure to particular matter in different regions of an area in which the user was exercising.
  • an electronic device comprising the particle sensor device of any of the herein described embodiments.
  • Such an electronic device may be any portable electronic device such that the user can shake the electronic device in order to induce the air flow through the air flow channel of the particle sensor device incorporated within the electronic device.
  • the electronic device may be a mobile phone (smart phone), a tablet computer, a personal digital assistant, a wearable smart device such as a smart watch, and so on.
  • the particle sensor device may be communicatively coupled to such an electronic device such that the electronic device can display or otherwise output the determined ambient particle concentration to the user, thereby obviating the need to provide the particle sensor device itself with such output functionality.
  • a method of determining an ambient particle concentration with a particle sensor device comprising generating a wind-induced air flow through the air flow channel with the particle sensor device in a stationary orientation; generating a first signal indicative of a first particle count in said wind-induced air flow with the particle sensor; generating a further air flow through the air flow channel by shaking the particle sensor device; generating at least one further signal indicative of a further particle count in said further air flow with the particle sensor; and processing the first signal and the further signal with the processor to determine the ambient particle concentration in the ambient environment.
  • processing the first signal and the further signal with the processor to determine the ambient particle concentration in the ambient environment preferably comprises processing the first signal and the further signal to eliminate a wind-induced contribution to the further particle count.
  • the method may further comprise deriving a wind speed from the processed first signal and eliminating the wind-induced contribution to the further particle count only if said derived wind speed exceeds a defined threshold such that unnecessary factoring in of the wind speed in the determination of the ambient particle concentration can be avoided, e.g. when the wind speed is negligible, thereby improving the efficiency of the method.
  • generating the wind-induced air flow through the air flow channel with the particle sensor device in a stationary orientation comprises positioning the air flow channel in a general direction of the wind; and generating the further air flow through the air flow channel by shaking the particle sensor device comprises shaking the particle sensor device such that the air flow channel is oriented perpendicularly to said general direction during at least part of said shaking motion. It has been found that by performing the two-point measurement in this manner, the influence of the wind speed on the air flow speed through the air flow channel can be accurately taken into account.
  • processing the first signal and the further signal with the processor to determine the ambient particle concentration comprises deriving the ambient particle concentration from the first signal, the further signal and the determined speed.
  • the shaking motion may be a predefined motion, in which case processing the first signal and the further signal with the processor to determine the ambient particle concentration may comprise deriving the ambient particle concentration from the first signal, the further signal and a predefined particle sensor device speed associated with said predefined shaking motion. This obviates the need to process a sensor signal provided by an inertia sensor to determine the air flow speed induced by the shaking of the particle sensor device, which simplifies the method.
  • FIG. 1 schematically depicts a particle sensing device according to an embodiment
  • FIG. 2 schematically depicts a particle sensing device according to another embodiment
  • FIG. 3 schematically depicts an operating principle of such a particle sensing device
  • FIG. 4 is a flow chart of a method of determining an ambient particulate matter concentration according to an embodiment
  • FIG. 5 is a graph depicting a measurement performance of a particle sensing device according to an embodiment
  • FIG. 6 schematically depicts an electronic device according to an example embodiment.
  • FIG. 1 schematically depicts a particle sensor device 100 according to an embodiment.
  • the particle sensor device 100 comprises an air flow channel 110 extending through a housing 105 of the particle sensor device 100.
  • the housing 105 may be made of any suitable material, e.g. a plastics material, a metal, a metal alloy or combinations thereof.
  • the air flow channel 110 has a first opening 111 and a second opening 113 that are each open to an ambient environment.
  • the first opening 111 may oppose the second opening 113.
  • a sensing area 115 housing a particle sensor 120 for detecting particles flowing through the air flow channel 110.
  • a particle sensor 120 for example may be a PM2.5 sensor although other particle sensors, e.g. sensors adapted to (also) detect other sized particles such as ultrafine particles (UFP), PM5.0 or PM10.0 particles, may also be considered.
  • the particle sensor 120 is an optical particle sensor comprising an optical module 121 for emitting light through the sensing area and a detector 123 for detecting light scattered by particles in the air flowing through the sensing area 115.
  • the optical module 121 for example may be a LED module or a laser module and the detector 123 for example may be a photodetector such as a photodiode or the like. Any suitable optical particle sensor design may be used. As such optical particle sensors are well-known per se, this will not be described in further detail for the sake of brevity only.
  • the particle sensor device 100 further comprises a processor 130 coupled to the detector 123.
  • the processor 130 is arranged to derive a particle concentration in the air flow through the air flow channel 110 from one or more signals received from the detector 123 using a mathematical model associated with the defined movement.
  • the mathematical model does not include air flow speed as a parameter.
  • air flow speed must be approximately known in determining a particle concentration in an air flow through the air flow channel 110 because the air flow speed determines the volume of air passing through the air flow channel 110 per unit time
  • embodiments of the present invention are based on the insight that by instructing a user of the particle sensor device 100 to move the device in a defined manner, an air flow speed associated with the defined movement may be assumed.
  • a given defined movement if executed correctly, corresponds to a certain air flow speed, and the mathematical model implemented by the processor 130 may be valid for a narrow range of air flow speeds including the flow speed associated with the defined movement.
  • the size of this range may be chosen based on what error margins in the determined particle concentration are considered acceptable; e.g. for an error margin of 20%, the end points of the range may be defined 20% less and 20% more than the flow speed associated with the defined movement respectively.
  • the mathematical model may be derived in any suitable manner.
  • the mathematical model may be an empirical model derived from measurements with a calibrated particle sensor such as a. Grimm sensor.
  • the mathematical model may also be a nonlinear formula depending on a different air flow channel design.
  • the mathematical model may be stored in a memory 140 accessible to the processor 130. Any suitable memory device, e.g. a RAM, ROM, EEPROM, Flash memory device or the like, may be used for this purpose.
  • the memory 140 may be separate to the processor 130, in which case the processor 130 may be communicatively coupled to the memory 140, e.g. via a P2P connection, a bus or the like, or alternatively the memory 140 may form part of the processor 130.
  • the memory 140 may store a single mathematical model or may alternatively store a plurality of mathematical models each associated with a different defined movement, e.g. different defined movements associated with different movement speeds, in which case a user may be able to select an appropriate mathematical model in accordance with a defined movement user is about to apply to the particle sensor device 100.
  • the user may wear the particle sensor device 100 during walking or running, which respective activities typically are associated with different air flow speeds through the air flow channel 100, such that the user may need to select the appropriate mathematical model to be applied by the processor 130 for the corresponding activity.
  • the particle sensor device 100 may further comprise a user interface 170, e.g. a touchscreen arrangement, a button arrangement, a switch arrangement, a dial arrangement, a combination of such arrangements, and so on, with the processor 130 being responsive to the user interface 170.
  • the particle sensor device 100 may further comprise an output device 150 responsive to the processor 130, e.g. a display, loudspeaker, a light source or the like.
  • the processor 130 is adapted to provide user instructions on the output device 150 for instructing a user to move the particle sensor device 100 in accordance with the defined movement.
  • the user may be provided with pictorial, written or spoken instructions through the output device 150 or alternatively the output device 150 may generate a moving or oscillating light beam, for example to indicate a speed at which the particle sensor device 100 should be moved by the user in accordance with the defined movement, e.g. how fast the user should shake the particle sensor device 100 in case of the defined movement being a shaking movement.
  • the output device 150 may be separate to the user interface 170 or alternatively may form part of the user interface 170.
  • the particle sensor device 100 is a wearable sensor device.
  • the particle sensor device 100 may be attached to a strap for wearing the particle sensor device on a body part such as an arm or a leg or may be attached to a chain such as a necklace, armband or the like, by way of non-limiting example.
  • the particle sensor device 100 may further comprise a near-field communication module or wireless communication module (not shown) communicatively coupled to the processor 130 such that the particle sensor device 100 can communicate the determined particle sensor concentrations to a further device, e.g. an electronic device such as a wearable electronic device, a smart electronic device such as a smart phone, tablet computer, laptop computer, personal computer, and so on.
  • FIG. 2 schematically depicts a particle sensor device 100 according to another embodiment in which the particle sensor device 100 may comprise any of the features or combinations thereof previously described with the aid of FIG. 1, and further comprises an inertia sensor 160 such as an accelerometer or the like coupled to the processor 130.
  • the processor 130 is further adapted to detect an air flow speed of an air flow through the air flow channel 110 of the particle sensor device 100 based on an acceleration of the particle sensor device 100 measured with the inertia sensor 160 during the shaking of the particle sensor device 100, for instance as explained in US 2016/0025628 Al.
  • the processor 130 is adapted to determine the ambient particle concentration based on a two-point measurement as will be explained in more detail with the aid of FIG. 3, which schematically depicts the orientation (a) of the particle sensor device 100 in the first of these measurements and the orientation (b) of the particle sensor device 100 in the second of these measurements as well as with the aid of FIG. 4, which is a flowchart of a method 200 of determining an ambient particle concentration with the particle sensor device 100.
  • the two-point measurement has the purpose of eliminating a contribution of atmospheric (ambient) wind 10 blowing through the air flow channel 110 during the shaking of the particle sensor device 100 to generate an ambient air flow at a certain speed through the air flow channel 110 in order to detect a particulate matter concentration in the ambient air.
  • atmospheric (ambient) wind 10 blowing through the air flow channel 110 during the shaking of the particle sensor device 100 to generate an ambient air flow at a certain speed through the air flow channel 110 in order to detect a particulate matter concentration in the ambient air.
  • this can interfere with the accurate determination of the volume of air displaced through the air flow channel 110 during the shaking motion, as part of this displaced volume is not induced by the shaking motion, i.e. by the speed at which the particle sensor device 100 is being shaken by its user, but instead is caused by the ambient wind conditions.
  • the method 200 starts in operation 201, e.g. by switching on the pressure sensor device 100, after which the method 200 proceeds to operation 203 in which the first measurement of the two-point measurement is performed by a user of the particle sensor device 100.
  • a wind-induced air flow is generated through the air flow channel 110 with the particle sensor device 100 in a stationary orientation.
  • the user holds the particle sensor device 100 in an orientation such that the air flow channel 110 generally is aligned with the wind direction of the ambient wind 10.
  • the user may be provided with user instructions on the output device 150 in order to ensure that the user holds the particle sensor device 100 in the appropriate orientation.
  • the particle sensor 120 In operation 205, the particle sensor 120 generates a first signal indicative of a first particle count in said wind-induced air flow through the air flow channel 110.
  • the first particle count may be related to the volume of air passing through the air flow channel 110 during the first measurement as induced by the ambient wind 10.
  • PMi (aV w +b)Ni/Ti+c, in which a, b and c are fitting constants.
  • FIG. 5 depicts a graph of the outcome of this fitting procedure, in which the solid line depicts the particulate matter concentration curve (PM 2.5 particulate matter) obtained with the Grimm meter and the squares depict the particulate matter concentrations derived from the respective first measurements at different wind speeds.
  • R 2 0.9841 was found between the readings with the professional sensor and the readings obtained with the particle sensor device 100 according to embodiment of the present invention in a stationary position, thus demonstrating the accuracy of the obtained values of PMi using the above formula.
  • the method 200 subsequently proceeds to operation 207 in which the user shakes the particle sensor device 100 in order to generate an air flow through the air flow channel 110.
  • the user may be required to shake the particle sensor device 100 in accordance with a predefined shaking motion to ensure that the air flow speed through the air flow channel 110 matches or at least approximates a predefined air flow speed associated with the predefined shaking motion.
  • the user may be provided with user instructions for how to shake the particle sensor device 100 on the output device 150.
  • the air flow channel 110 generally is initially oriented substantially perpendicularly to the wind direction of the ambient wind 10.
  • the air flow speed V through the air flow channel 110 is a function g of the air flow speed V s generated by the shaking motion and the air flow speed V w generated by the wind 10:
  • the particle sensor 120 generates a further signal indicative of a further particle count N 2 through the air flow channel 110 resulting from the shaking of the particle sensor device 100 during the second measurement.
  • the processor 130 may process the first signal from the particle sensor 120 generated during the first measurement to obtain the first particle count Ni and process the further signal from the particle sensor 120 generated during the second measurement to obtain the particle count N 2 .
  • the processor 130 may further obtain Ti and T 2 in any suitable manner, e.g. by a timer or the like or alternatively Ti and T 2 may have fixed values in case the particle sensor 120 is configured to perform a measurement for such a fixed period of time.
  • the processor 130 may derive Vs from a signal provided by the inertia sensor 160 or alternatively Vs may be a constant, i.e.
  • the processor 130 may then use the determined values of Ni, N 2 , Ti, T 2 and V s to determine the ambient particle concentration in the ambient environment using formula (3) above, thereby preferably eliminating the wind-induced contribution to the particle count N 2 as obtained by shaking the particle sensor device 100 as described above.
  • the processor 130 may be adapted to only eliminate the wind- induced contribution to the further particle count if the wind speed V w exceeds a defined threshold. This for example may be based on the particle count Ni obtained with particle sensor 120 during the first measurement in which the particle sensor device 100 is kept stationary. Although this particle count is a function of the actual ambient particle concentration, it has been found that at low enough wind speeds, the particle count Ni will not exceed certain thresholds even for high ambient particle concentrations. Therefore, the processor 130 may be adapted to evaluate the particle count Ni as obtained during the first measurement and only determine the ambient particle concentration PM with formula (3) if the particle count Ni exceeds a defined threshold.
  • the particle sensor device 100 may form part of an electronic device 1, as is schematically depicted in FIG. 6.
  • an electronic device 1 typically is a portable electronic device to facilitate the shaking of the particle sensor device 100 as explained above.
  • a portable electronic device 1 for example may be a mobile phone such as a smart phone, a tablet computer, a personal digital assistant, a wearable smart electronic device such as a smart watch, and so on.
  • at least some elements of the particle sensor device 100 such as the processor 130, the output device 150 and the user interface 170 may be multifunctional components of the electronic device 1.

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Abstract

L'invention concerne un dispositif de détection de particules (100) permettant de déterminer une concentration de particules ambiantes dans un flux d'air au moyen du dispositif de détection de particules. Le dispositif de détection de particules comprend un canal d'écoulement d'air (110) s'étendant entre une première ouverture (111) ouverte vers un environnement ambiant contenant la concentration de particules ambiantes et une seconde ouverture (113) ouverte vers ledit environnement ambiant, le canal d'écoulement d'air comprenant une zone de détection (115) comprenant un détecteur de particules (120) ; et un processeur (130) couplé au détecteur de particules et configuré pour dériver la concentration de particules ambiantes d'un premier signal reçu en provenance du détecteur de particules, ledit premier signal indiquant un premier décompte de particules dans un flux d'air provoqué par le vent à travers le canal d'écoulement d'air lorsque le dispositif de détection de particules est immobile ; et un autre signal reçu du détecteur de particules, ledit autre signal indiquant un autre décompte de particules dans un flux d'air à travers le canal d'écoulement d'air provoqué par un mouvement d'agitation du dispositif de détection de particules afin d'éliminer l'influence du vent sur le flux d'air à travers le canal d'écoulement d'air. L'invention concerne également un dispositif électronique comprenant un tel dispositif de détection de particules et un procédé de détermination d'une concentration de particules ambiantes doté d'un tel dispositif de détection de particules.
PCT/EP2018/061677 2017-05-05 2018-05-07 Détection de matière particulaire WO2018202909A1 (fr)

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
CN2017000337 2017-05-05
CNPCT/CN2017/000337 2017-05-05
EP17176931.8 2017-06-20
EP17176931.8A EP3418720A1 (fr) 2017-06-20 2017-06-20 Détection de matières particulaires

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Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2008145353A (ja) 2006-12-12 2008-06-26 Denso Corp 液中粒子濃度検出装置
US20080278725A1 (en) * 2007-05-12 2008-11-13 Unger Roger L Compact, low cost particle sensor
CN203551443U (zh) 2013-11-05 2014-04-16 锦州海伯伦汽车电子有限公司 内置风机式颗粒物传感器
CN203824872U (zh) 2014-04-29 2014-09-10 江苏朗信电气有限公司 一种车载颗粒物浓度检测仪
CN104089858A (zh) 2014-07-21 2014-10-08 上海理工大学 一种颗粒粒度仪
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