Aiming at the current situation of traditional artificial stagnation mode (high cost, small monitoring amount and slow update of monitoring data) in the field of environmental monitoring in most areas of China, this paper designs an automatic environment monitoring system, which is based on STM32F103RCT6 Collect environmental parameters such as atmosphere, water and soil, and then transmits the data to the terminal collection server through UDP through the ESP8266 module. The terminal collection server transmits the data to the management monitoring center through the internet network, and finally realizes remote environment monitoring. After preliminary text, the system has low energy consumption, strong stability, accurate data transmission and low cost, and has certain practicability.
References
[1]
Zhao, J.H. and Zhang, C.X. (2016) An Environment Detection System Based on Wireless Communication. Computer & Digital Engineering, 30, 1963-1966.
[2]
Fan, X.L. (2016) Application of ESP8266 in Intelligent Home Monitoring System. Micro-controllers & Embedded Systems, 16, 52-56.
[3]
Xu, X.Y., Zhang, Y., Ji, M.H. and Song, Y. (2013) Determination of Effective Transmission Distances of Wireless Sensor Network Nodes for Agro-Ecological Environment Monitoring. Transactions of the Chinese Society of Agricultural Engineering, 29, 164-170.
[4]
Zheng, X., Zhao, Z. and Liu, D. (2008) Integrated Mining Model Framework for Soil Environmental Monitoring Data-Based on Data Warehouse. Transactions of the Case, 24, 162-168.
[5]
Leonardi, M., Vera, J. and Tarifeno, E. (2009) Diseases of the Chilean Flounder Paralichthys adspersus (Steindachner, 1867) as Biomarkers of Marine Coastal Pollution near the Itata River (Chile). Part I: In Situ Macroscopic Lesions. Archives of Environmental Contamination and Toxicology, 56, 536-545. https://doi.org/10.1007/s00244-008-9208-4
[6]
Schmitt, C.J., Brumbaugh, W.G. and May, T.W. (2009) Concentrations of Cadmium, Cobalt, Lead, Nickel, and Zinc in Blood and Fillets of Northern Hog Sucker (Hypentelium nigricans) from Streams Contaminated by Lead-Zinc Mining: Implications for Monitoring. Archives of Environmental Contamination and Toxicology, 56, 509-524. https://doi.org/10.1007/s00244-009-9288-9
[7]
Zhai, J.W., Liu, W.H., Fu, W.Q. and Tian, J.J. (2016) Intelligent Environmental Monitoring Laboratory Information Management System. Environmental Science and Management, 41, 150-153.
