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Optimization of Water Microbial Concentration Monitoring System Based on Internet of Things

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  • Miaomiao Zheng
  • Shanshan Zhang
  • Yidan Zhang
  • Baozhong Hu
  • Zhihan Lv

Abstract

The Internet of Things is an emerging information industry. Applying the information collection, transmission, and processing technologies in the Internet of Things technology to environmental monitoring, environmental emergency, and other environmental protection supervision fields will greatly improve the speed and accuracy of environmental supervision and facilitate the scientific development of environmental protection. Through the Internet of Things, people can obtain a large amount of reliable real-time information, and it is not easy to be affected by time, place, and environment, while the wireless sensor network has the advantages of easy installation and low cost, so environmental monitoring through the Internet of Things is the future development trend. In this paper, in view of the current situation of water scarcity and serious water pollution in China, combined with the development trend and advantages of the Internet of Things (IoT), and based on the inadequacy of the existing microbial sensor data collection equipment, we propose a design scheme of microbial concentration monitoring system for waters based on IoT. The system is based on Zig Bee wireless sensor network to build a common data acquisition platform and design special hardware to carry out high-precision microbial sensor data acquisition in water and through the PC to complete the real-time measurement data storage, waveform display, and data processing. In this paper, the schematic diagram and PCB board design of the system hardware module NUC120 main control board, CC2530 RF board, Wi-Fi wireless communication module, and high-precision ADC acquisition module are completed and fabricated. Then, the four modules are combined to realize the development of the data aggregation node and data acquisition node of the dedicated Zig Bee wireless network hardware device.

Suggested Citation

  • Miaomiao Zheng & Shanshan Zhang & Yidan Zhang & Baozhong Hu & Zhihan Lv, 2021. "Optimization of Water Microbial Concentration Monitoring System Based on Internet of Things," Complexity, Hindawi, vol. 2021, pages 1-11, May.
  • Handle: RePEc:hin:complx:5154922
    DOI: 10.1155/2021/5154922
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    Cited by:

    1. Tamíris Pacheco da Costa & James Gillespie & Xavier Cama-Moncunill & Shane Ward & Joan Condell & Ramakrishnan Ramanathan & Fionnuala Murphy, 2022. "A Systematic Review of Real-Time Monitoring Technologies and Its Potential Application to Reduce Food Loss and Waste: Key Elements of Food Supply Chains and IoT Technologies," Sustainability, MDPI, vol. 15(1), pages 1-27, December.

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