Design of Intelligent Art Open Laboratory Management System Based on Internet of Things
- DOI
- 10.2991/978-94-6463-200-2_2How to use a DOI?
- Keywords
- Intelligent laboratory; The Internet of things; Management system design; Zigbee; GPRS
- Abstract
Aiming at the current situation of low management efficiency and information level of art open laboratory, a design concept of intelligent laboratory management system based on the Internet of Things was proposed. The system constructed ZigBee intelligent open laboratory control system through high-performance processing (PC), PAN Coordinator network Coordinator, terminal sensor, and realized communication with remote mobile phone terminal through GPRS wireless transceiver system. Design the system architecture and hardware and software implementation methods, including network topology, key processing flow, etc. The system can not only meet the remote monitoring needs of the open laboratory of intelligent art, but also make the whole system reduce signaling interaction, truly independent of user operation to achieve intelligent control, and finally achieve a significant increase in the degree of laboratory management information.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Nanling Zhang AU - Linzhi Zhou PY - 2023 DA - 2023/07/26 TI - Design of Intelligent Art Open Laboratory Management System Based on Internet of Things BT - Proceedings of the 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023) PB - Atlantis Press SP - 4 EP - 11 SN - 2589-4919 UR - https://doi.org/10.2991/978-94-6463-200-2_2 DO - 10.2991/978-94-6463-200-2_2 ID - Zhang2023 ER -