@inproceedings{c1ea8ac41a1445f1892f1c2d10e603c7,
title = "Research on Filter Special Equipment Remote Operation and Maintenance Big Data Platform",
abstract = "Aiming at the difficulties in data collection, low level of informatization and low management efficiency in the filter industry, the system scheme based on USN system is designed by analyzing the business requirements of filter equipment production and management. In order to meet the needs of the complex structure on-line monitoring of special filtering equipment, the core process parameters and equipment vibration signals in complex environment are collected by deploying multi type micro integrated sensors. And on the basis of the existing sensors, control devices and PLC local monitoring system of the enterprise, the data collection and intelligent control mode of the whole life cycle of the filter and the system management mode of edge cloud collaboration are elaborated. In view of the difficulties in remote monitoring and quality control of multi category distributed filter equipment, the detailed design of data acquisition and equipment control communication process and system expansion process is proposed. Considering the complex filtering process, various parameters, real-time control requirements, extensive business expansion and other application scenarios, the proprietary IOT gateway and cloud server middleware are developed to support the concurrent management of various filtering core business. The cloud database and big data operation and maintenance management platform of filtering enterprises are constructed. And the system is applied to the production line of domestic first-line filter enterprises for process and operation monitoring. The system improves the efficiency of remote filter equipment monitoring and the quality of enterprise service through intelligent operation and maintenance. The reliability and application value of edge cloud collaborative system are verified.",
keywords = "Data acquisition, Edge computing, Filter, Gateway, Internet of things, Micro sensor, Process monitoring, Quality control",
author = "Jianjun Ding and Tao Li and Dan Xian and Yang Bai and Haofeng Sun",
note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 7th International Conference on Nanomanufacturing, nanoMan2021 ; Conference date: 17-11-2021 Through 19-11-2021",
year = "2022",
doi = "10.1007/978-981-19-1918-3\_21",
language = "英语",
isbn = "9789811919176",
series = "Smart Innovation, Systems and Technologies",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "186--199",
editor = "Shuming Yang and Xichun Luo and Yongda Yan and Zhuangde Jiang",
booktitle = "Proceedings of the 7th International Conference on Nanomanufacturing, nanoMan2021",
}