Node Layout Algorithm Based Environmental Monitoring System for Industrial IoT

As the Internet of Things (IoT) technology continues to revolutionize, modern industrial production systems are undergoing profound changes. Current production methods require the expansion of production space to accommodate more equipment, raw materials and workers. The traditional monitoring systems mostly use a simple sensor monitoring method. This kind of monitoring method has the problems of too much monitoring data which is not easy to manage, and the system can not respond in time after the disaster occurs. Based on this situation, this paper proposes a node layout algorithm based industrial IoT environment monitoring system. The system utilizes Zigbee wireless communication technology to construct the network. The master station uses the Loongson 2K1000LA development board as the display and calculation terminal to interact with the cloud platform. The sub-station uses Loongson 1C102 development board as the main control chip to monitor the environmental data. The cloud platform carries out image recognition and sends peripherals control commands. Compared with the traditional monitoring system, this system reduces the peripheral response delay by more than 1.5 seconds, improves the monitoring efficiency by 33%, The peripheral response time difference is reduced by 1.499 seconds, an increase of 61.3%.and facilitates managers to formulate effective security prevention strategies.

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Publication Details

Published
2024-12-27
DOI
https://doi.org/10.1109/eiecc64539.2024.10929105
Primary Topic
Water Quality Monitoring Technologies
Type
article
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article

Node Layout Algorithm Based Environmental Monitoring System for Industrial IoT

Kangle Li, J. Fei, Xiaodong Zhuge, Xinyi Ren et al.
Water Quality Monitoring Technologies
article

Node Layout Algorithm Based Environmental Monitoring System for Industrial IoT

Kangle Li, J. Fei, Xiaodong Zhuge, Xinyi Ren, Yangsen Liu, An He
article en

Abstract

As the Internet of Things (IoT) technology continues to revolutionize, modern industrial production systems are undergoing profound changes. Current production methods require the expansion of production space to accommodate more equipment, raw materials and workers. The traditional monitoring systems mostly use a simple sensor monitoring method. This kind of monitoring method has the problems of too much monitoring data which is not easy to manage, and the system can not respond in time after the disaster occurs. Based on this situation, this paper proposes a node layout algorithm based industrial IoT environment monitoring system. The system utilizes Zigbee wireless communication technology to construct the network. The master station uses the Loongson 2K1000LA development board as the display and calculation terminal to interact with the cloud platform. The sub-station uses Loongson 1C102 development board as the main control chip to monitor the environmental data. The cloud platform carries out image recognition and sends peripherals control commands. Compared with the traditional monitoring system, this system reduces the peripheral response delay by more than 1.5 seconds, improves the monitoring efficiency by 33%, The peripheral response time difference is reduced by 1.499 seconds, an increase of 61.3%.and facilitates managers to formulate effective security prevention strategies.

Chengdu University of Technology (CN)
Responsible consumption and production
Openalex Percentile: Top 73%
Water Quality Monitoring Technologies
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