Industrial Ventilator Monitoring System
Based on Android
Junjiao Zhang
(&)
, Yongjie Yang
(&) , and Zhongxing Huo
School of Information Science and Technology, Nantong University,
Nantong 226019, China
1047891636@qq.com, yang.yj@ntu.edu.cn
Abstract. The traditional industrial production site ventilator adopts manual
management, which is cumbersome and cannot be dealt with in the first time
when abnormal conditions occur. In view of the above situation and demands,
an industrial ventilator monitoring system based on Android is designed and
implemented. The system takes ESP8266 module as the core, collects smoke
value of industrial environment through smoke sensor, establishes server with
Raspberry Pi, and develops an app with Android studio as development tool.
Through the visual app interface, the on-duty personnel can not only view the
status and usage situation of ventilators in different areas in real time, but also
remotely control the opening and closing of multiple ventilators and set the
timing task of ventilators. In addition, the system also achieves abnormal
automatic processing. Once the abnormal smoke value is detected, the ventilator
will be automatically opened, which has strong flexibility and high application
value.
Keywords: Monitoring system Á ESP8266 module Á Raspberry Pi Á Android
1 Introduction
In the industrial production site, most industrial ventilators are in constant power
working condition for a long time, and the waste of electric energy is serious. In
addition, the use of manual management of ventilators, abnormal conditions cannot be
dealt with at the first time, will cause a certain degree of safety risk.
The Android-based monitoring system for industrial ventilator is designed in this
paper. Monitoring data collected by sensors and other hardware circuits are transmitted
to Raspberry Pi Server by ESP8266 Wi-Fi module. It also provides an app interface for
managers to view current monitoring data and control ventilators, which solves the
problem of remote monitoring of ventilators in industrial field and saves time and
manpower.
© Springer Nature Singapore Pte Ltd. 2020
Q. Liang et al. (Eds.): Artificial Intelligence in China, LNEE 572, pp. 343–352, 2020.
https://doi.org/10.1007/978-981-15-0187-6_40
Based on Android
Junjiao Zhang
(&)
, Yongjie Yang
(&) , and Zhongxing Huo
School of Information Science and Technology, Nantong University,
Nantong 226019, China
1047891636@qq.com, yang.yj@ntu.edu.cn
Abstract. The traditional industrial production site ventilator adopts manual
management, which is cumbersome and cannot be dealt with in the first time
when abnormal conditions occur. In view of the above situation and demands,
an industrial ventilator monitoring system based on Android is designed and
implemented. The system takes ESP8266 module as the core, collects smoke
value of industrial environment through smoke sensor, establishes server with
Raspberry Pi, and develops an app with Android studio as development tool.
Through the visual app interface, the on-duty personnel can not only view the
status and usage situation of ventilators in different areas in real time, but also
remotely control the opening and closing of multiple ventilators and set the
timing task of ventilators. In addition, the system also achieves abnormal
automatic processing. Once the abnormal smoke value is detected, the ventilator
will be automatically opened, which has strong flexibility and high application
value.
Keywords: Monitoring system Á ESP8266 module Á Raspberry Pi Á Android
1 Introduction
In the industrial production site, most industrial ventilators are in constant power
working condition for a long time, and the waste of electric energy is serious. In
addition, the use of manual management of ventilators, abnormal conditions cannot be
dealt with at the first time, will cause a certain degree of safety risk.
The Android-based monitoring system for industrial ventilator is designed in this
paper. Monitoring data collected by sensors and other hardware circuits are transmitted
to Raspberry Pi Server by ESP8266 Wi-Fi module. It also provides an app interface for
managers to view current monitoring data and control ventilators, which solves the
problem of remote monitoring of ventilators in industrial field and saves time and
manpower.
© Springer Nature Singapore Pte Ltd. 2020
Q. Liang et al. (Eds.): Artificial Intelligence in China, LNEE 572, pp. 343–352, 2020.
https://doi.org/10.1007/978-981-15-0187-6_40