Advertisement

Temperature and Humidity Monitoring System for Bulk Grain Container Based on LoRa Wireless Technology

  • Ningli ZhuEmail author
  • Yuhua Xia
  • Ying Liu
  • Chuanzhen Zang
  • Hai Deng
  • Zhenzhou Ma
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11068)

Abstract

This paper introduces the design of key node information collection system for the North-to-South Bulk Grain Container Transportation Project in China. Based on the idea of the Internet of Things (IoT), we combined the current sensing and communication technologies to develop a vehicle-borne information acquisition system and a key node handheld information acquisition system. This project researches on smart front-end products, low-power sensor technology, data acquisition, and wireless communication technology. The whole system combines cloud platform, edge computing, and other technologies to fully utilize the Internet of things resources and artificial intelligence. It demonstrates and certifies the product performance of key node information collection equipment for bulk grain containers. The system adapts to the public railroad and water transport mode while the entire process of food transportation is monitored through intelligent sensor, GPS, LoRa and 3G/4G technologies so that to achieve information traceability in the grain transportation, thus ensuring food quality.

Keywords

IoT LoRa Sensor GPS 3G 4G 

Notes

Acknowledgement

This project is supported by the demonstration project of the high efficient quality transportation and information tracing technology of North-to-South Bulk Grain Container Transportation and the Intelligent Sensor project in Aisino Corporation. We thank the Dadushe Grain Depot in Beijing for the help in experiment testing.

References

  1. 1.
    Liao, C.-H., Lu, C.-S., Tseng, P.-H.: Carbon dioxide emissions and inland container transport in Taiwan. J. Transp. Geogr. 19(4), 722–728 (2011)CrossRefGoogle Scholar
  2. 2.
    Li, X.: Development of China’s port logistics. In: Liu, B., Lee, S., Wang, L., Xu, Y., Li, X. (eds.) Contemporary Logistics in China. CCERS, pp. 147–169. Springer, Heidelberg (2014).  https://doi.org/10.1007/978-3-642-55282-3_8CrossRefGoogle Scholar
  3. 3.
    “North Grains Southward Transfer” Makes Great Efforts to Improve Zhejiang Province’s Food Security Support Ability, Zhejiang People’s Congress (2012)Google Scholar
  4. 4.
    Raza, U., Kulkarni, P., Sooriyabandara, M.: Low power wide area networks: an overview. IEEE Commun. Surv. Tutor. 19(2), 855–873 (2017)CrossRefGoogle Scholar
  5. 5.
    Nadarajah, N., Teunissen, P.J.G., Raziq, N.: Instantaneous BeiDou– GPS attitude determination: a performance analysis. Adv. Space Res. 54(5), 851–862 (2014)CrossRefGoogle Scholar
  6. 6.
    Soy, H., Dilay, Y., Koçer, S.: A LoRa-based Low Power Wide Area Network Application for Agricultural Weather MonitoringGoogle Scholar
  7. 7.
  8. 8.
    Nor, R.F.A.M., Zaman, F.H., Mubdi, S.: Smart traffic light for congestion monitoring using LoRaWAN. In: 2017 IEEE 8th Control and System Graduate Research Colloquium (ICSGRC), pp. 132–137. IEEE, August 2017Google Scholar
  9. 9.
    Agrawal, V., et al.: Low power ARM® Cortex™-M0 CPU and SRAM using Deeply Depleted Channel (DDC) transistors with Vdd scaling and body bias. In: 2013 IEEE Custom Integrated Circuits Conference (CICC), pp. 1–4. IEEE, September 2013Google Scholar
  10. 10.
    Ku, J.S., Ho, S., Sarma, S.: Landmark mapping from unbiased observations. In: 2015 IEEE First International Smart Cities Conference (ISC2), pp. 1–6. IEEE, October 2015Google Scholar
  11. 11.
    SARA U2 Series. https://www.u-blox.com/en/product/sara-u2-series. Accessed 20 Feb 2018
  12. 12.
    Kommu, A., Kanchi, R.R.: Design and development of a project-based embedded system laboratory using LPC1768. Am. J. Embed. Syst. Appl. 1(2), 46–53 (2013)Google Scholar
  13. 13.
    Lamichhane, R.S.: 4G LTE Supported Mobile Phones (2018)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Ningli Zhu
    • 1
    Email author
  • Yuhua Xia
    • 1
  • Ying Liu
    • 1
  • Chuanzhen Zang
    • 1
  • Hai Deng
    • 1
  • Zhenzhou Ma
    • 1
  1. 1.Aisino Corporation Inc.BeijingChina

Personalised recommendations