Intelligent Exhaust System of Cross-Linked
Workshop
Yan-ting Xu
(&) and Yongjie Yang
School of Information Science and Technology, Nan-tong University,
Nan-tong 226019, Jiang-su, China
1061463697@qq.com, yang.yj@ntu.edu.cn
Abstract. An intelligent exhaust system has been designed based on the
characteristics of practical and efficient. The system takes STM32F103C8T6
single-chip microcomputer as the control core and consists of four parts:
acquisition terminal nodes, routing nodes, master node, and monitoring management software. Use SHT20 sensors to collect environmental data. To realize
the function of the system’s data transceiver and the exhaust fan control, data
exchange between STM32 and the wireless transmission module LORA has
been adopted. The upper computer not only contains PC monitoring management software, but also contains WeChat small program, which makes the fan
control more simple and convenient. The system has been applied in a crosslinked workshop. The practical application shows that the system is stable,
accurate, and easy to operate.
Keywords: Ad hoc network Á Data acquisition Á LORA
1 Introduction
Nowadays, wireless sensor network has been widely used in factories, military, agriculture, and other fields due to the rapid development of wireless communication
technology, embedded technology, and Internet of Things technology. In the environment of modern factory, agriculture, military and home, environmental parameters
including temperature and humidity seriously affect the quality of production and life.
Therefore, it becomes an important research direction to acquire these environmental
parameters in time and turn on or off the exhaust fan in real time according to these
parameters. In the existing intelligent exhaust systems, there are more or less disadvantages: (a) limited monitoring scope due to short transmission distance; (b) low
practicability. Once a node is damaged, the whole system will collapse; (c) inaccurate
environmental parameters and incomplete monitoring. Based on the above description,
this paper proposes a self-organized network [1] intelligent exhaust system centering
on LORA communication.
© Springer Nature Singapore Pte Ltd. 2020
Q. Liang et al. (Eds.): Artificial Intelligence in China, LNEE 572, pp. 304–312, 2020.
https://doi.org/10.1007/978-981-15-0187-6_35
Workshop
Yan-ting Xu
(&) and Yongjie Yang
School of Information Science and Technology, Nan-tong University,
Nan-tong 226019, Jiang-su, China
1061463697@qq.com, yang.yj@ntu.edu.cn
Abstract. An intelligent exhaust system has been designed based on the
characteristics of practical and efficient. The system takes STM32F103C8T6
single-chip microcomputer as the control core and consists of four parts:
acquisition terminal nodes, routing nodes, master node, and monitoring management software. Use SHT20 sensors to collect environmental data. To realize
the function of the system’s data transceiver and the exhaust fan control, data
exchange between STM32 and the wireless transmission module LORA has
been adopted. The upper computer not only contains PC monitoring management software, but also contains WeChat small program, which makes the fan
control more simple and convenient. The system has been applied in a crosslinked workshop. The practical application shows that the system is stable,
accurate, and easy to operate.
Keywords: Ad hoc network Á Data acquisition Á LORA
1 Introduction
Nowadays, wireless sensor network has been widely used in factories, military, agriculture, and other fields due to the rapid development of wireless communication
technology, embedded technology, and Internet of Things technology. In the environment of modern factory, agriculture, military and home, environmental parameters
including temperature and humidity seriously affect the quality of production and life.
Therefore, it becomes an important research direction to acquire these environmental
parameters in time and turn on or off the exhaust fan in real time according to these
parameters. In the existing intelligent exhaust systems, there are more or less disadvantages: (a) limited monitoring scope due to short transmission distance; (b) low
practicability. Once a node is damaged, the whole system will collapse; (c) inaccurate
environmental parameters and incomplete monitoring. Based on the above description,
this paper proposes a self-organized network [1] intelligent exhaust system centering
on LORA communication.
© Springer Nature Singapore Pte Ltd. 2020
Q. Liang et al. (Eds.): Artificial Intelligence in China, LNEE 572, pp. 304–312, 2020.
https://doi.org/10.1007/978-981-15-0187-6_35