Non-contact Infrared Temperature Acquisition System based on Internet of Things for Laboratory Activities Monitoring

Abstract In most higher education establishments and universities, laboratories are also used as classrooms. Different conditions throughout laboratory and teaching activities with reliable data quality should be provided and guaranteed. The thermal comfort of the students must be ensured in teaching activities. During the laboratory activities, several parameters must be ensured and monitored, and data collection must be stored to ensure the stability of the environment when the test is conducted and at the data collection moment as they influence the quality of the results. Oftentimes, there is the requirement of tracking object temperatures with non-contact but also to measure the ambient temperature for comparison. Infrared temperature sensors provide a non-contact measurement in a quickly and accurately process. This paper presents an Internet of Things (IoT) solution for real-time temperature supervision named iRT. The solution is composed of a hardware prototype for temperature data collection and Web compatibility for data access. The iRT uses an infrared thermometer sensor module which incorporates an MLX90614 and provides object and ambient temperature supervision in real-time. The Web application can be used to access the collected data but also provides the history of the temperature evolution. The results obtained are promising, representing a significant contribution to infrared temperature monitoring systems based on IoT.

[1]  Italo Meroni,et al.  Design and Development of a Nearable Wireless System to Control Indoor Air Quality and Indoor Lighting Quality , 2016, Sensors.

[2]  L. Dias Pereira,et al.  Indoor air quality audit and evaluation on thermal comfort in a school in Portugal , 2015 .

[3]  Xiangyu Zhang,et al.  Design of Non-contact Infra-Red Thermometer Based on the Sensor of MLX90614 , 2015 .

[4]  Gonçalo Marques,et al.  Monitoring Health Factors in Indoor Living Environments Using Internet of Things , 2017, WorldCIST.

[5]  Luis A. Hernández Gómez,et al.  Smart Cities at the Forefront of the Future Internet , 2011, Future Internet Assembly.

[6]  Liu Yang,et al.  Thermal comfort and building energy consumption implications - A review , 2014 .

[7]  Gonçalo Marques,et al.  Monitoring Indoor Air Quality for Enhanced Occupational Health , 2017, Journal of Medical Systems.

[8]  Ingvar Holmér,et al.  Personal factors in thermal comfort assessment: clothing properties and metabolic heat production , 2002 .

[9]  Gonçalo Marques,et al.  Using IoT and Social Networks for Enhanced Healthy Practices in Buildings , 2018 .

[10]  M. Pérez-Ruiz,et al.  A cost-effective canopy temperature measurement system for precision agriculture: a case study on sugar beet , 2017, Precision Agriculture.

[11]  João Paulo Teixeira,et al.  Indoor air quality in schools and its relationship with children's respiratory symptoms , 2015 .

[12]  Gonçalo Marques,et al.  A System Based on the Internet of Things for Real-Time Particle Monitoring in Buildings , 2018, International journal of environmental research and public health.

[13]  Gonçalo Marques,et al.  Indoor Air Quality Assessment Using a CO2 Monitoring System Based on Internet of Things , 2019, Journal of Medical Systems.

[14]  P. Giungato,et al.  Indoor air quality in schools , 2014, Environmental Chemistry Letters.

[15]  Gonçalo Marques,et al.  A Cost-Effective Air Quality Supervision Solution for Enhanced Living Environments through the Internet of Things , 2019, Electronics.

[16]  Gonçalo Marques,et al.  Smartwatch-Based Application for Enhanced Healthy Lifestyle in Indoor Environments , 2018, Advances in Intelligent Systems and Computing.