Abstract
Aiming at the unstable environmental conditions and the information is not transparent during the cold chain transportation of aquatic products, a cold chain transportation monitoring and temperature prediction system is proposed and designed by using wireless sensor network (Wireless Sensor Networks, WSN) combined with LSTM model. The system hardware uses the CC2530 module as the main control unit and uses temperature and humidity sensors, air quality sensors, carbon dioxide sensors to realize intelligent information collection. This system uploads the collected information to the OneNET Internet of Things service platform in real time, solving the problem of effective supervision of food safety information. Real-time monitoring of environmental information. Using the LSTM model to establish a temperature prediction model, predicting the temperature in the transport vehicle in real time, and control the temperature during transportation. Experiments prove that the system is effective in real time.
The work was supported by Social Science Planning Fund Project of Liaoning Province (L19BGL016).
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References
Liu, L., Liu, X., Li, W.: Hierarchical network modeling with multidimensional information for aquatic safety management in the cold chain. Food Sci. Nutr. 6, 843–859 (2018)
Zhou, M., **ong, G., Qiao, Y., et al.: Changes and correlation of odor and freshness of catfish during cold storage. Meat Res. 34(03), 68–74 (2020)
Zheng, Z., Gao, Y., Zhao, Y.: The Impact of income growth on urban residents’ food consumption patterns. Econ. (Q.) 15(01), 263–288 (2016)
Huang, Z., Zhang, B., Lan, Y., et al.: Farmland data collection based on UAV-WSN. J. South Chin. Agric. Univ. 37(01), 104–109 (2016)
Yang, X., Zhou, Q., Han, G., et al.: Energy-saving aquaculture environmental monitoring system based on Zig Bee. Trans. Chin. Soc. Agric. Eng. 31(17), 183–190 (2015)
Liu, L., **e, M., Gao, S., et al.: Design and implementation of an online monitoring system for straw burning fire based on wireless sensing technology. J. Northeast Agric. Univ. 51(09), 89–96 (2020)
Sun, W., Wei, L.: Design of smart home control system based on ZigBee wireless network. Northern Archit. 4(04), 35–38 (2019)
Luo, T.: Design and Implementation of Data Transmission and Processing System Based on ZigBee and Web Technology. University of Electronic Science and Technology of China (2018)
Ding, F., Wu, F., Ai, C., et al.: Design and implementation of environmental monitoring system based on OneNET platform. J. Nan**g Univ. Posts Telecommun. (Nat. Sci. Edn.) 38(04), 24–29 (2018)
Acknowledgments
This work was supported by the key projects of national key R & D plan during the 13th five year plan (No: 2019yfd0901605).
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Jiang, P. et al. (2022). Environmental Monitoring and Temperature Control of Aquatic Products Cold Chain Transport Carriage. In: Shi, X., Bohács, G., Ma, Y., Gong, D., Shang, X. (eds) LISS 2021. Lecture Notes in Operations Research. Springer, Singapore. https://doi.org/10.1007/978-981-16-8656-6_53
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DOI: https://doi.org/10.1007/978-981-16-8656-6_53
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