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Kovacs et al., 2024 - Google Patents

IoT and Machine Learning-Based System for Predicting, Monitoring and Controlling Indoor Air Quality

Kovacs et al., 2024

Document ID
16388819795179175671
Author
Kovacs B
Rusu-Both R
Publication year
Publication venue
2024 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR)

External Links

Snippet

The pandemic highlighted the importance of our environment, leading to efforts to make it comfortable. Air quality, a crucial factor affecting our health and comfort, can be measured using various methods. The challenge is maintaining the indoor air quality in a good range …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
    • 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
    • G01N33/0006—Calibrating gas analysers

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