Providing a HSE system for intelligent temperature control of urban equipment (electrical panels) and fire prevention based on the integration of concept models and programming of AVR microcontroller (Case study of Mashhad) as a smart city implementation
<p>Today, smart city approaches are considered as a key to solving the problems facing metropolises. However, using this approach, the costs of investment, operation, and maintenance of infrastructure in cities will be significantly reduced. In this study, a system for intelligent temperature...
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Annals of Environmental Science and Toxicology - Peertechz Publications,
2021-08-04.
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| LEADER | 00000 am a22000003u 4500 | ||
|---|---|---|---|
| 001 | peertech__10_17352_aest_000043 | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a Bita Deravian |e author |
| 700 | 1 | 0 | |a Behzad Deravian |e author |
| 700 | 1 | 0 | |a Seyed Mohammad Khatibi |e author |
| 700 | 1 | 0 | |a Reza Aghlmand |e author |
| 700 | 1 | 0 | |a Mohammad Gheibi |e author |
| 245 | 0 | 0 | |a Providing a HSE system for intelligent temperature control of urban equipment (electrical panels) and fire prevention based on the integration of concept models and programming of AVR microcontroller (Case study of Mashhad) as a smart city implementation |
| 260 | |b Annals of Environmental Science and Toxicology - Peertechz Publications, |c 2021-08-04. | ||
| 520 | |a <p>Today, smart city approaches are considered as a key to solving the problems facing metropolises. However, using this approach, the costs of investment, operation, and maintenance of infrastructure in cities will be significantly reduced. In this study, a system for intelligent temperature control of urban equipment (electrical panels) and fire prevention based on a combination of concept models and programming of AVR microcontroller was designed. Then, the data obtained from the sensors (installed in the aerial panel of one of the streets of Mashhad) were analyzed by the SPSS software model. The results of the analyzes showed that the highest accumulation of data was at temperatures below 30°C and statistically, the normal distribution was skewed to the right. The temperature data received from the sensors for phases one, two, and three have a median of 26, 29 and 29°C, respectively, which indicates; Temperatures of 75 to 81°C are selected correctly as warning values. Considering the results of this study, it became clear that the present system can be very effective in monitoring, controlling, and monitoring the health of urban electrical panels.</p> | ||
| 540 | |a Copyright © Bita Deravian et al. | ||
| 546 | |a en | ||
| 655 | 7 | |a Research Article |2 local | |
| 856 | 4 | 1 | |u https://doi.org/10.17352/aest.000043 |z Connect to this object online. |