Predictive IoT temperature sensor

KALASHNIKOV, Alexander and ELYOUNSI, Ali (2022). Predictive IoT temperature sensor. In: 9th International Electronic Conference on Sensors and Applications, Online, 01-15 Nov 2022. MDPI.

[img]
Preview
PDF
Kalashnikov-PredictiveIoTTemperature(VoR).pdf - Published Version
Creative Commons Attribution.

Download (567kB) | Preview
Open Access URL: https://sciforum.net/paper/view/13337 (Published version)
Link to published version:: https://doi.org/10.3390/ecsa-9-13337
Related URLs:

    Abstract

    Temperature sensors are widely employed in control systems that maintain required temperature in a vessel or container irrespective of the temperature changes in the outer environment. However, limited power of the heater/cooler (the plant of the control system) might lead to uncomfortable or even inacceptable deviations from the required temperature. This behaviour can be mitigated if the control system can have access not only to the present temperature in the vessel but also to the forecasted environmental temperature. This situation occurs, among others, at industrial vessels that require elevated temperatures during their operation but shut down out of hours. To start heating these to the required temperature at the beginning of a working shift wastes processing time until the required temperature is reached. It is more productive to turn on heating in advance in order to get the vessel ready on time. In order to achieve fully autonomous automatic operation, the sensor should have some intelligence and access to the temperature forecast, which can be provided over the internet. Both these requirements can be met by employing a WiFi enabled microcontroller. We present development of a predictive IoT temperature sensor based on the ESP32 microcontroller, which uses internet service to get time and weather forecast, and upload temperature logs to a cloud server for convenient remote access and storage.

    Item Type: Conference or Workshop Item (Paper)
    Identification Number: https://doi.org/10.3390/ecsa-9-13337
    SWORD Depositor: Symplectic Elements
    Depositing User: Symplectic Elements
    Date Deposited: 14 Nov 2022 11:16
    Last Modified: 15 Nov 2022 12:50
    URI: https://shura.shu.ac.uk/id/eprint/31020

    Actions (login required)

    View Item View Item

    Downloads

    Downloads per month over past year

    View more statistics