Skip to main content

Research on UWB Driving Positioning Technology in Smart Warehouse

  • Conference paper
  • First Online:
Advanced Manufacturing and Automation XI (IWAMA 2021)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 880))

Included in the following conference series:

  • 1506 Accesses

Abstract

A driving positioning system based on Ultra Wide Band (UWB) indoor wireless positioning technology is designed to overcome the difficulty in supervising the movable property of commercial banks. The system includes crane, crane hook controller, database server, positioning server, system server, cargo information identification module and high precision positioning module based on UWB. The UWB positioning module includes UWB positioning Base Station, the UWB positioning TAG and System Controller. Through the UWB positioning module, the accurate positioning of the crane is realized. The abnormality can be triggered under the situation that the position of the crane is consistent with the pledged goods, ensuring the effective supervision of movable property.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 249.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Jiajie, H., Jian, W.: Scheme design of logistics enterprise pledge supervision. Mod. Commer. 24, 203–204 (2007)

    Google Scholar 

  2. Xi, J., Ren, J.: Research and design of chattel pledge supervision platform based on Internet of Things. Comput. Program. Skills Maintenance 12, 14–15 + 18 (2020)

    Google Scholar 

  3. Zhan, J.: An analysis of the pledge supervision business of China reserve shares. Huazhong University of Science and Technology (2008)

    Google Scholar 

  4. Shuyi, C., Li Jianhui, W., Mingjuan, X.T.: Application and standardization of chattel pledge supervision system of Internet of Things. Inf. Technol. Stand. 07, 20–22 (2017)

    Google Scholar 

  5. Chai, F., Zhubing, H.: Design of crane positioning and automatic weighing system. J. Chengde Pet. Coll. 23(02), 51–54 (2021)

    Google Scholar 

  6. Wang, M., Zhou, A., Chen, X., Shen, Y., Li, Z.: A novel asynchronous UWB positioning system for autonomous trucks in an automated container terminal. SAE Int. J. Adv. Curr. Pract. Mob. 2(6), 3413–3422 (2020)

    Google Scholar 

  7. Li Jieren, X., Qingshan, L.X., Jianmin, W.: Application of wireless positioning technology in mobile crane. China Mech. Eng. 30(06), 716–721 (2019)

    Google Scholar 

  8. Fangmin, J.: Application of Internet of things technology in dynamic supervision system of chattel pledge. Enterp. Technol. Dev. 29(19), 13–15 (2010)

    Google Scholar 

  9. Ying, F., Jinyuan, L., Peiwu, Z., Zhewen, L.: Analysis and Research on the status quo and standardization demand of domestic enterprise pledge supervision service. China Storage Transp. 11, 105–109 (2016)

    Google Scholar 

  10. Li, J., Liu, H., Lan, Z.: Internet of things international standard for chattel pledge supervision. Inf. Technol. Stand. 12, 52–55 (2018)

    Google Scholar 

  11. Jiang, C., Liao, Y., Cai, B.: Research on positioning system of logistics and warehousing AGV based on UWB. Comput. Age 05 (2019)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Guiqin Li .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Liu, K., Li, G., Li, T., Shen, Y., Mitrouchev, P. (2022). Research on UWB Driving Positioning Technology in Smart Warehouse. In: Wang, Y., Martinsen, K., Yu, T., Wang, K. (eds) Advanced Manufacturing and Automation XI. IWAMA 2021. Lecture Notes in Electrical Engineering, vol 880. Springer, Singapore. https://doi.org/10.1007/978-981-19-0572-8_4

Download citation

Publish with us

Policies and ethics