Nothing Special   »   [go: up one dir, main page]

Chaoraingern et al., 2023 - Google Patents

Real-Time Indoor Air Quality Index Prediction Using a Vacuum Cleaner Robot's AIoT Electronic Nose.

Chaoraingern et al., 2023

View PDF
Document ID
16190798575909972740
Author
Chaoraingern J
Tipsuwanporn V
Numsomran A
Publication year
Publication venue
International Journal of Intelligent Engineering & Systems

External Links

Snippet

To encourage the good health and well-being sustainable development goal, this article presents the design and implementation of real-time indoor air quality index (AQI) prediction using an artificial internet of things (AIoT) electronic nose integrated into a vacuum cleaner …
Continue reading at inass.org (PDF) (other versions)

Classifications

    • 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 infra-red, visible or ultra-violet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infra-red light
    • 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 the preceding groups
    • G01N33/0004—Gaseous mixtures, e.g. polluted air
    • G01N33/0009—General constructional details of gas analysers, e.g. portable test equipment
    • G01N33/0027—General constructional details of gas analysers, e.g. portable test equipment concerning the detector
    • G01N33/0036—Specially adapted to detect a particular component
    • G01N33/0047—Specially adapted to detect a particular component for organic compounds
    • 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 the preceding groups
    • G01N33/0004—Gaseous mixtures, e.g. polluted air
    • G01N33/0009—General constructional details of gas analysers, e.g. portable test equipment
    • G01N33/0027—General constructional details of gas analysers, e.g. portable test equipment concerning the detector
    • G01N33/0031—General constructional details of gas analysers, e.g. portable test equipment concerning the detector comprising two or more sensors, e.g. a sensor array
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
    • 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
    • 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 the preceding groups
    • G01N33/48—Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • 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 infra-red, visible or ultra-violet light
    • G01N21/75—Systems in which material is subjected to a chemical reaction, the progress or the result of the reaction being investigated
    • G01N21/77—Systems in which material is subjected to a chemical reaction, the progress or the result of the reaction being investigated by observing the effect on a chemical indicator
    • G01N21/78—Systems in which material is subjected to a chemical reaction, the progress or the result of the reaction being investigated by observing the effect on a chemical indicator producing a change of colour
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N27/00—Investigating or analysing materials by the use of electric, electro-chemical, or magnetic means
    • G01N27/02—Investigating or analysing materials by the use of electric, electro-chemical, or magnetic means by investigating the impedance of the material
    • G01N27/04—Investigating or analysing materials by the use of electric, electro-chemical, or magnetic means by investigating the impedance of the material by investigating resistance
    • 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 infra-red, visible or ultra-violet light
    • G01N21/84—Systems specially adapted for particular applications
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
    • G01N29/02—Analysing fluids
    • G01N29/036—Analysing fluids by measuring frequency or resonance of acoustic waves

Similar Documents

Publication Publication Date Title
Covington et al. Artificial olfaction in the 21 st century
Karagulian et al. Review of the performance of low-cost sensors for air quality monitoring
Moursi et al. An IoT enabled system for enhanced air quality monitoring and prediction on the edge
Zhang et al. Chaos based neural network optimization for concentration estimation of indoor air contaminants by an electronic nose
Azid et al. Prediction of the level of air pollution using principal component analysis and artificial neural network techniques: A case study in Malaysia
Zhang et al. On-line sensor calibration transfer among electronic nose instruments for monitoring volatile organic chemicals in indoor air quality
Reimann et al. Sensor arrays, virtual multisensors, data fusion, and gas sensor data evaluation
Dai et al. Achieving better indoor air quality with IoT systems for future buildings: Opportunities and challenges
McFarlane et al. Application of Gaussian mixture regression for the correction of low cost PM2. 5 monitoring data in Accra, Ghana
Palomeque-Mangut et al. Wearable system for outdoor air quality monitoring in a WSN with cloud computing: Design, validation and deployment
Kristiani et al. PM2. 5 forecasting model using a combination of deep learning and statistical feature selection
Sonawani et al. Air quality measurement, prediction and warning using transfer learning based IOT system for ambient assisted living
CA2125810A1 (en) Apparatus and method for determining the indoor air quality within an enclosed space
Prasad et al. Electronic nose and wireless sensor network for environmental monitoring application in pulp and paper industry: A review
KR102313465B1 (en) Multi-sensor based air quality status mobile notification system and method
Chaoraingern et al. Real-Time Indoor Air Quality Index Prediction Using a Vacuum Cleaner Robot's AIoT Electronic Nose.
Lee A stochastic model of particulate matters with AI-enabled technique-based IoT gas detectors for air quality assessment
Bax et al. Odour nuisance monitoring
Bitter et al. Estimation of odour intensity of indoor air pollutants from building materials with a multi-gas sensor system
Chen et al. A gas concentration estimation method based on multivariate relevance vector machine using MOS gas sensor arrays
Jayaraj Air quality monitoring and disease prediction using IoT and machine learning
Wang et al. Gas graph convolutional transformer for robust generalization in adaptive gas mixture concentration estimation
Nicolas et al. Choice of a suitable E-nose output variable for the continuous monitoring of an odour in the environment
Mukanova et al. Intelligent Hardware-Software Processing of High-Frequency Scanning Data
Esatbeyoglu et al. Data driven concept for sensor data adaptation of electrochemical sensors for mobile air quality measurements