WO2017182920A1 - Dispositif de surveillance de la qualité de l'air - Google Patents

Dispositif de surveillance de la qualité de l'air Download PDF

Info

Publication number
WO2017182920A1
WO2017182920A1 PCT/IB2017/052130 IB2017052130W WO2017182920A1 WO 2017182920 A1 WO2017182920 A1 WO 2017182920A1 IB 2017052130 W IB2017052130 W IB 2017052130W WO 2017182920 A1 WO2017182920 A1 WO 2017182920A1
Authority
WO
WIPO (PCT)
Prior art keywords
air quality
environmental
data
monitoring device
quality monitoring
Prior art date
Application number
PCT/IB2017/052130
Other languages
English (en)
Inventor
Bacta Saketaram-Prabou SOUSSILANE
Original Assignee
Meo Limited
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
Application filed by Meo Limited filed Critical Meo Limited
Publication of WO2017182920A1 publication Critical patent/WO2017182920A1/fr

Links

Classifications

    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2110/00—Control inputs relating to air properties
    • F24F2110/50—Air quality properties
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/47—Scattering, i.e. diffuse reflection
    • G01N21/49—Scattering, i.e. diffuse reflection within a body or fluid
    • G01N21/53—Scattering, i.e. diffuse reflection within a body or fluid within a flowing fluid, e.g. smoke
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B30/00—Energy efficient heating, ventilation or air conditioning [HVAC]
    • Y02B30/70—Efficient control or regulation technologies, e.g. for control of refrigerant flow, motor or heating

Definitions

  • the present disclosure relates to healthcare devices/solutions, and particularly to air quality monitoring devices and systems comprising the same. Background
  • an air quality monitoring device comprising a plurality of sensors of different types for obtaining values of different environmental parameters from an ambient air sample; a control unit for receiving values from sensors reflecting environmental parameters and processing (sort, analyse and interpret) the obtained values based on a predetermined algorithm to determine an environmental score by effecting a non-linear weighting placed on more polluted measurements and public health guidelines.
  • This environmental score is shown directly on the device as a macro level warning / status of the environmental situation / air quality via a coloured light indicator on the device on a scale consisting of more than 3 colors, such colour having a readily recognisable health implication as opposed to a numeric value without any comparable standard.
  • the environmental score is also provided to the user's smartphone, tablet or notebook computer providing detailed information on each of the environmental parameters displayed via colour coded charts and numerical values.
  • an air quality monitoring device comprising:
  • control unit for receiving obtained values of the environmental parameters and processing, including sorting, analysing and interpreting, the obtained values based on a predetermined algorithm to determine an environmental score by effecting a non-linear weighting placed on more polluted measurements in order to provide/output a macro level warning/status on environmental situation or air quality; and a first level indicator for obtaining/receiving and showing/depicting the environmental score and/or the macro level warning/status via providing a color indication having a readily recognized health implication rather than a numeric value;
  • the device is configured to operate and interchange between a portable mode and a static mode; when the device is operated in the portable mode, the control unit is adapted to acquire concurrently at set intervals positioning data and timestamp while receiving the obtained values and/or the environmental score to produce and store data and then transfer the data to a webserver or a cloud server for indication of air quality or pollution level in a geographic location preferably on a map with a preset accessibility (e.g. preferably only accessible by those devices and/or people with granted permission); and
  • control unit when the device is operated in the static mode, the control unit is adapted to transfer at set intervals an aggregated data of obtained values, timestamp, and/or the environmental score to a webserver or a cloud server to build up a set of historical data with a preset accessibility (e.g. preferably only accessible by those devices and/or people with granted permission); and to connect and drive directly an air conditioning or regulating unit to operate based on the environmental score.
  • a webserver or a cloud server to build up a set of historical data with a preset accessibility (e.g. preferably only accessible by those devices and/or people with granted permission); and to connect and drive directly an air conditioning or regulating unit to operate based on the environmental score.
  • control unit is adapted to process the environmental score to provide a micro level warning/status on environmental situation or air quality
  • the air quality monitoring device further comprise a second level indicator for obtaining/receiving and showing/depicting the environmental score and/or the micro level warning/status via providing a precise reading on the normalized US EPA scale rather than a plain numeric value for each of measurements to enhance meaningfulness, usability and comparability of the reading.
  • the control unit when the device is operated in the portable mode, the control unit is adapted to connect to a first external apparatus or initiate an embedded GPS unit to acquire concurrently at set intervals GPS data and timestamp while receiving the obtained values and/or the environmental score to produce and store data and then transfer the data to a webserver or a cloud server for indication of air quality or pollution level in a geographic location preferably on a map, and which data, environmental score, air quality or pollution level, geographic location, and/or the map could be obtained by users being granted access to the data transferred to the webserver or the cloud server; and when the device is operated in the static mode, the control unit is adapted to transfer at set intervals an aggregated data of obtained values, timestamp, and/or the environmental score to a webserver or a cloud server to build up a set of historical data obtainable by users being granted access to the data transferred to the webserver or the cloud server; and to connect and drive directly a second external apparatus or initiate an embedded air conditioning or regulating unit to operate based on the environmental score
  • the sensors are exposed to the ambient air sample and use light scattering method to evaluate pollutants in the ambient air sample and to produce the values of different environmental parameters; and/or the predetermined algorithm is adapted to process the obtained values by modelling the ambient air sample by a sine wave model of a plurality of sine waves of different frequency and amplitude to deduce the characteristics of pollutants within the air ambient sample.
  • a luminosity sensor to measure respective light, noise, temperature, and humidity conditions and the environmental score is computed at least partly based on at least one of the respective conditions.
  • the first external apparatus comprises a smartphone, a tablet type computer, and/or a notebook type computer, capable of providing GPS data as well as remotely receiving and storing detailed data from the air quality monitoring device; and/or the second external apparatus and/or the air conditioning unit comprises a fan, an air conditioner, and/or an air purifier; and/or
  • the air quality monitoring device is connected to the first external apparatus via wireless communication protocol including Bluetooth, and Wi-Fi and/or the second external apparatus via common Machine-to- Machine protocol; and/or
  • control unit is adapted to combine the obtained values of the environmental parameters with corresponding environmental data obtainable from respective official websites in order to forecast environmental parameters and/or environmental score.
  • Figure 1 is schematic view of an example air quality monitoring device.
  • the present disclosure provides healthcare devices / solutions providing the user or the public accurate, real-time information on the quality of air they breathe in locations where, according to the present disclosure, the portable air quality monitoring device is placed or visited temporarily, or installed permanently.
  • the portable air quality monitoring device might connect with various external devices (e.g. a smart phone, tablet, or notebook computers) to enhance the user interface enabling the user or the public to get reliable information on which to make appropriate decisions regarding their current and/or future behavior (such as opening windows to increase ventilation or turning on air conditioning or regulating devices like air conditioners / air purifiers, or the like) and as a result improve the quality of the air they breathe and their health in general.
  • home appliances are directly connected with and controlled or driven by the air quality monitoring device to operate to readily improve the quality of the ambient air.
  • the example air quality monitoring device as shown in Figure 1 contains a number of air inlet openings and sensors 1-5 of different types for obtaining values of different environmental parameters from an ambient air sample, wherein the sensors monitor the air quality that users breathe in real-time against a number of environmental parameters and process the data provided by these sophisticated sensors through a proprietary algorithm.
  • the environmental parameters are PM2.5 (Particulate Matter), VOC (Volatile Organic Compounds), temperature, humidity and could also include the value, amount, concentrations or density of CO, C02, N02, S02, 02, 03, as well as other known pollutants in the ambient air.
  • the air quality monitoring device further comprise a control unit for receiving obtained values of the environmental parameters and processing (sort, analyse and interpret) the obtained values based on a predetermined algorithm to determine an environmental score by effecting a non-linear weighting placed on more polluted measurements and public health guidelines.
  • the air quality monitoring device comprises, among other, a luminosity sensor, a sound sensor, a temperature sensor, and/or a humidity sensor to measure respective light, noise, temperature, and humidity conditions and the environmental score is computed at least partly based on at least one of the respective conditions.
  • control unit is adapted to process the environmental score to provide a macro level warning/status on environmental situation or air quality
  • the air quality monitoring device further comprise a micro level warning/status indicator for obtaining/receiving and showing/depicting the environmental score via providing a precise reading on the normalized US EPA scale rather than a plain numeric value for each type of measurement, to enhance meaningfulness, usability and comparability of the reading.
  • the first level (macro) indicator is a light indicator C arranged on the device for showing a range of colours to indicate air quality ranging from Green (Good), Yellow (Moderate), Orange (Unhealthy for Sensitive groups), Red (Unhealthy), Purple (Very Unhealthy) to Brown (Hazardous) based on US EPA (Environmental Protection Agency) Air Quality standards, which are also consistent with WHO (World Health Organization) standards.
  • the first level indicator is configured for obtaining or receiving the environmental score from the control unit and for depicting the environmental score and/or the macro level warning/status via providing a color indication having a readily recognized health implication rather than a numeric value that might be only recognized by those well trained and skilled in the art.
  • the second (micro) level is indicated through an application or an App built on multiple operating systems including Wndows, MacOSX, Android and iOS run on a smart phone, tablet, notebook, or desktop computers to get readings for each environmental parameter.
  • the readings are similarly colour coded as per the macro level but offer a precise reading on the normalized US EPA scale (0 - 500) to enhance meaningfulness, usability and comparability thereof, as would be described in details in the table below.
  • users will be able to set various alarms/alerts based on various levels of the environmental parameters, on top of existing predetermined alerts.
  • the foregoing data will be stored in the webserver or cloud server to enable users to access their own data, up to at least 1 year, via both web browsers / website and App.
  • the air quality monitoring device is configured to operate and interchange between a portable mode (outdoors and in public spaces) and a static mode (primarily home or work).
  • the control unit is adapted to connect to a first external apparatus and initiate an embedded GPS unit to acquire concurrently at set intervals GPS data and timestamp while receiving the obtained values and/or the environmental score. All those data are stored and then transfer to a webserver or a cloud server for indication of air quality or pollution level in a geographic location preferably on a map, and which aggregated data, environmental score, air quality or pollution level, geographic location, and/or the real-time map could be obtained by anyone through the App or website as this is considered public information, when available.
  • the control unit When the device is operated in the static mode, the control unit is adapted to transfer at set intervals data of obtained values, timestamp, and/or the environmental score to a webserver or a cloud server to build up a set of historical data relevant to and obtainable only by that user (or users who have been granted access to that device's output) and to connect and drive directly a second external apparatus such as environment related home appliances or initiating an embedded air conditioning unit to operate based on the environmental score, on any designated specific pollutant. Any user can see their own individual data as well as the aggregated data per regional sectors, the latter which is accessible by anyone in real-time.
  • the first external apparatus comprises a smartphone, a tablet type computer, and/or a notebook type computer, capable of providing GPS data.
  • the second external apparatus comprises for example a fan, an air conditioner, and/or an air purifier.
  • the air quality monitoring device is connected to the first external apparatus via wireless communication protocol including Bluetooth, and Wi-Fi and/or the second external apparatus via common M2M (Machine-to-Machine) protocol.
  • wireless communication protocol including Bluetooth
  • Wi-Fi Wireless Fidelity
  • M2M Machine-to-Machine
  • control unit is adapted to combine the obtained values of the environmental parameters with corresponding environmental data obtainable from respective official websites in order to forecast environmental parameters and/or environmental score.
  • the data When the device is in portable mode, the data will also be aggregated for graphic representation on the map showing pollution hotspots in the geographic location.
  • the map and pollution hotspots will be freely available for users and the public alike based on regionally aggregated data from other users using the air quality monitoring device of the present disclosure as well as official data sources, from governmental related organizations.
  • Other competing devices will be able to upload data to the website once the quality of their data is approved by the company allowing quality measures on this website.
  • the air quality monitoring device is battery powered and power management is optimized, as it is specifically designed for outdoor as well as indoor use.
  • the energy footprint of the device is minimized to keep it as environmentally responsible as possible.
  • the device is designed to be optimally used with a phone/tablet/computer, it can function as a standalone device and provide key environmental information to its users.
  • the air quality monitoring device is adapted to be plugged into a power socket, and provide information on air quality through the colour-coded light indicator with a dedicated optimized power management system also operating, as in the portable / battery powered mode.
  • the accuracy of the air quality monitoring device comes not only from the quality of the sensors used inside the device but just as importantly, the proprietary algorithm that has been developed, implemented and tested over years in various conditions.
  • the macro level indicator displayed as a coloured light on the device, is a computed environmental score based on the different measurements provided by the sensors with a non-linear weighting placed on more polluted measurements in order to provide/output a macro level warning/status on environmental situation or air quality.
  • the App will have a standard, yet customisable set of alarms which can be sent to the smart phone or computer, with recommendations based on levels of the environmental parameters.
  • the User will have the choice to add new rules of alarms as well as delete previously added rules of alarms, or disable standard alarms.
  • the alarm is a call to action based on criteria of 1) fixed values of measured pollutants; and/or 2) relative values: based on a user-defined difference between the measured value and a value derived from an external source such as www.aqicn.org reporting of PM 2.5.
  • the alarm would take the form of either 1) push or normal notification sent to users' phones / computer via the App or similar application; or 2) direct control of another machine residing in the user's domestic or working location (such as, turn on a fan, an air conditioner, and/or an air purifier at desired speed).
  • the device When the device is used outdoor, it will be designated as in the 'Portable' mode as opposed to the 'Static' mode when being used indoor.
  • the device is selectively operated in the Portable Mode, during which the device will take multiple environmental readings at set intervals and record these either in the device's memory or transferred to a phone / tablet and transferred to the cloud server subject to Bluetooth / Wi-Fi availability.
  • the device might comprise an embedded wireless communication unit to send data via mobile data network , such as 3G/4G network, for example.
  • mobile data network such as 3G/4G network
  • the device is also selectively operated in Static Mode during which the device is located at home or office or any other applicable location, data will automatically be sent to the cloud server without transit through mobile device App, through existing user's router or wireless /wired network.
  • the user will be able to see evolution of the historical data with the App or dedicated program/software, as well as with any web browser run on any operating systems, where allowed.
  • the device When the device is operated in 'Static Mode' and if W-Fi is not available, the device will store at least 3 months' worth of data on dedicated internal storage. Once W-Fi is made available again, all data stored on the device will be sent to the cloud or web server preferably via W-Fi network.
  • the dedicated App or software has been created with user- friendly visual graphic representations of each environmental parameter against standardized levels as well as displaying temperature and humidity.
  • the user can share air quality information on any social media with one-click button from the App or software, wherever they are, with the device or web browser run on various computing devices.
  • All collected data will be analysed and stored in the cloud or web server.
  • the data will be analysed with other data such as wind, rain, pollution sources and other macro information found on official websites with a machine learning automation in order to provide forecast data of various environmental parameters.
  • each user can own multiple devices, by virtue of each device being uniquely identified by its Core ID. Likewise each device has one single owner who can grant data access rights to other users. One user can monitor multiple devices as well as multiple users can monitor one or more devices preferably via wireless communication.
  • each device will be monitored remotely and firmware updates will be proposed and performed either upon user acceptance or automatically if desired by the user.
  • the device will be able to communicate with other machines via common M2M (Machine-To-Machine) protocol and language in order to control them and optimize energy footprint of those machines, as well as their filter usage. Standard rules will be implemented. The user will however have the choice to modify or duplicate them to other devices.
  • M2M Machine-To-Machine
  • luminosity, sound, and other applicable sensors could be added to measure light pollution, noise pollution, and the like.
  • the proprietary algorithm used by the air quality monitoring device has been designed to sort, analyse and interpret the information from all raw data sent by the sensors.
  • the analogue signal can be modelled with a specific number of sine functions of different frequency and amplitude.
  • the sine model might be typically applied to particulate matter (PM). Analysis of the frequency allows the device to define the quantity of the relevant PM while amplitude is used to deduce the size of particles.
  • the sensors of the air quality monitoring device are constantly exposed to the air and are therefore measuring the pollution levels in real time by using the model of sine waves of different frequencies and amplitudes to record and express the level of pollution in a way in which it is meaningful to the end user - primarily in the International System of Units and then matched to WHO recommendations, on the normalized scale of US EPA Index for Air Quality score, as outlined above. This process is repeated constantly as the air sample changes.
  • a step by step procedure of one single assessment of PM would be as follows:
  • the device then aggregates this measurement & count of PM and translates that into a readable AQI, rather than reporting in micrograms per cubic metre, which is difficult for people to contemplate without a reference point. This serves to provide the user a measure or indication which they readily understand and can use to make decisions about their behaviour i.e. adapt sport intensity, stay outdoors with friends, go indoors for a coffee, or activate an air conditioning unit or ventilation device.
  • the device has been configured to have the following characteristics denoted by respective numerals as depicted in Figure 1 , for example:

Landscapes

  • Engineering & Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Air Conditioning Control Device (AREA)

Abstract

La présente invention concerne un dispositif de surveillance de la qualité de l'air comprenant une pluralité de capteurs de différents types pour obtenir des valeurs de différents paramètres environnementaux à partir d'un échantillon d'air ambiant; une unité de commande pour recevoir des valeurs obtenues des paramètres environnementaux et traiter les valeurs obtenues sur la base d'un algorithme prédéterminé pour déterminer un score environnemental en effectuant une pondération non linéaire placée sur des mesures plus polluées; et un indicateur de premier niveau pour obtenir et présenter le score environnemental et/ou l'avertissement/état de niveau macroscopique par l'intermédiaire de la fourniture d'une indication de couleur ayant une implication sanitaire aisément reconnue plutôt qu'une valeur numérique.
PCT/IB2017/052130 2016-04-20 2017-04-13 Dispositif de surveillance de la qualité de l'air WO2017182920A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
HK16104547.2A HK1215919A2 (zh) 2016-04-20 2016-04-20 空氣質量監控裝置
HK16104547.2 2016-04-20

Publications (1)

Publication Number Publication Date
WO2017182920A1 true WO2017182920A1 (fr) 2017-10-26

Family

ID=56959105

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/IB2017/052130 WO2017182920A1 (fr) 2016-04-20 2017-04-13 Dispositif de surveillance de la qualité de l'air

Country Status (2)

Country Link
HK (1) HK1215919A2 (fr)
WO (1) WO2017182920A1 (fr)

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109493973A (zh) * 2018-11-22 2019-03-19 中国建筑设计研究院有限公司 一种家用住宅空气环境健康风险预警方法及系统
CN109521155A (zh) * 2018-09-28 2019-03-26 北京英视睿达科技有限公司 质控方法及装置
CN111274282A (zh) * 2020-01-07 2020-06-12 北京科技大学 一种空气质量挖掘系统、方法及数据采集监控装置
CN112578133A (zh) * 2019-09-27 2021-03-30 深圳迈瑞生物医疗电子股份有限公司 一种样本分析系统和分析设备的测试管理方法
CN112857449A (zh) * 2021-01-20 2021-05-28 威立雅能源科技(上海)有限公司 用于监测管理室内空气质量的监测管理系统及方法
CN113917093A (zh) * 2021-12-15 2022-01-11 维睿空气系统产品（深圳）有限公司 一种基于无线网络的空气质量监控系统
CN115018348A (zh) * 2022-06-20 2022-09-06 北京北投生态环境有限公司 基于人工智能的环境分析方法、系统、设备及存储介质
CN115171362A (zh) * 2022-09-07 2022-10-11 江西珉轩智能科技有限公司 一种面向重点区域防控的预警方法及系统
US20230230686A1 (en) * 2020-05-27 2023-07-20 View Operating Corporation Systems and methods for managing building wellness

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2002063294A2 (fr) * 2001-02-07 2002-08-15 Aircuity, Inc. Systemes et procedes servant a controler la qualite de l'air
CN102192927A (zh) * 2010-11-05 2011-09-21 重庆大学 一种基于电子鼻技术的空气质量监测系统及其监测方法
US20150077737A1 (en) * 2013-08-09 2015-03-19 Cnry Inc. System and methods for monitoring an environment
CN104677792A (zh) * 2013-11-29 2015-06-03 首尔伟傲世有限公司 便携式空气品质判断装置
CN105242667A (zh) * 2015-09-23 2016-01-13 南京白云化工环境监测有限公司 可远程遥控的移动空气质量检测平台及其使用方法

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2002063294A2 (fr) * 2001-02-07 2002-08-15 Aircuity, Inc. Systemes et procedes servant a controler la qualite de l'air
CN102192927A (zh) * 2010-11-05 2011-09-21 重庆大学 一种基于电子鼻技术的空气质量监测系统及其监测方法
US20150077737A1 (en) * 2013-08-09 2015-03-19 Cnry Inc. System and methods for monitoring an environment
CN104677792A (zh) * 2013-11-29 2015-06-03 首尔伟傲世有限公司 便携式空气品质判断装置
CN105242667A (zh) * 2015-09-23 2016-01-13 南京白云化工环境监测有限公司 可远程遥控的移动空气质量检测平台及其使用方法

Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109521155A (zh) * 2018-09-28 2019-03-26 北京英视睿达科技有限公司 质控方法及装置
CN109521155B (zh) * 2018-09-28 2023-05-30 北京英视睿达科技股份有限公司 质控方法及装置
CN109493973A (zh) * 2018-11-22 2019-03-19 中国建筑设计研究院有限公司 一种家用住宅空气环境健康风险预警方法及系统
CN112578133A (zh) * 2019-09-27 2021-03-30 深圳迈瑞生物医疗电子股份有限公司 一种样本分析系统和分析设备的测试管理方法
CN111274282A (zh) * 2020-01-07 2020-06-12 北京科技大学 一种空气质量挖掘系统、方法及数据采集监控装置
CN111274282B (zh) * 2020-01-07 2023-06-23 北京科技大学 一种空气质量挖掘系统、方法及数据采集监控装置
US20230230686A1 (en) * 2020-05-27 2023-07-20 View Operating Corporation Systems and methods for managing building wellness
CN112857449A (zh) * 2021-01-20 2021-05-28 威立雅能源科技(上海)有限公司 用于监测管理室内空气质量的监测管理系统及方法
CN113917093A (zh) * 2021-12-15 2022-01-11 维睿空气系统产品（深圳）有限公司 一种基于无线网络的空气质量监控系统
CN115018348A (zh) * 2022-06-20 2022-09-06 北京北投生态环境有限公司 基于人工智能的环境分析方法、系统、设备及存储介质
CN115171362A (zh) * 2022-09-07 2022-10-11 江西珉轩智能科技有限公司 一种面向重点区域防控的预警方法及系统

Also Published As

Publication number Publication date
HK1215919A2 (zh) 2016-09-23

Similar Documents

Publication Publication Date Title
WO2017182920A1 (fr) Dispositif de surveillance de la qualité de l'air
Zakaria et al. Wireless internet of things-based air quality device for smart pollution monitoring
CN204514363U (zh) 多功能室内环境检测系统
US20200378940A1 (en) Networked air quality monitoring system
US20120297028A1 (en) Integrated remote pollution monitoring and indexing system and method thereof
US20140279574A1 (en) Environmental measurement display system and method
CN204883442U (zh) 一种小区环境监控装置
CN107065990A (zh) 馆藏文物监测系统及方法
CN104580311A (zh) 室内或车内环境监测与控制的物联网系统及其监控方法
CN204347452U (zh) 一种具有空气质量检测及视频通话功能的时钟
CN205607448U (zh) 建筑居住环境远程监测系统
Zappatore et al. A crowdsensing approach for mobile learning in acoustics and noise monitoring
Yang et al. A smart sensor system for air quality monitoring and massive data collection
KR102238123B1 (ko) 비교분석을 이용한 공기질 데이터 통계 서비스 제공 시스템
Marques G., Pitarma, R.(2016) Smartphone application for enhanced indoor health environments
Khedo et al. Low-cost energy-efficient air quality monitoring system using wireless sensor network
Su et al. Intelligent environmental monitoring system based on LoRa long range technology
Yu et al. Integration of wireless sensor network and IoT for smart environment monitoring system
Wang et al. Quantifying the dynamic characteristics of indoor air pollution using real-time sensors: Current status and future implication
Saha et al. Monitoring air quality of Dhaka using IoT: effects of COVID-19
Afolaranmi et al. Technology review: prototyping platforms for monitoring ambient conditions
CN204514362U (zh) 一种房屋质量检测系统
CN111630414B (zh) 空气污染显示终端
Biondo et al. A wsn real-time monitoring system approach for measuring indoor air quality using the internet of things
Rai et al. Zigbee based air pollution monitoring and control system using WSN

Legal Events

Date Code Title Description
NENP Non-entry into the national phase

Ref country code: DE

121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 17785536

Country of ref document: EP

Kind code of ref document: A1

122 Ep: pct application non-entry in european phase

Ref document number: 17785536

Country of ref document: EP

Kind code of ref document: A1