Design and application of an intelligent monitoring and early warning system for bioremediation of coking contaminated sites

XiaoWen Wang; WenSi Wang; NiYun Yang; XiaoWei Wang; FuYang Wang; XiaoShu Wei; YanPing Ji; WangXin Chen; MengYi Zheng

doi:10.1117/12.2682342

20 June 2023 Design and application of an intelligent monitoring and early warning system for bioremediation of coking contaminated sites

XiaoWen Wang, WenSi Wang, NiYun Yang, XiaoWei Wang, FuYang Wang, XiaoShu Wei, YanPing Ji, WangXin Chen, MengYi Zheng

Author Affiliations +

Proceedings Volume 12715, Eighth International Conference on Electronic Technology and Information Science (ICETIS 2023); 1271520 (2023) https://doi.org/10.1117/12.2682342
Event: Eighth International Conference on Electronic Technology and Information Science (ICETIS 2023), 2023, Dalian, China

Abstract

The soil bioremediation process of coking sites is complex, the site environment is harsh, and the project period is long. Compared with the fields of water and air pollution monitoring, the informatization level of soil bioremediation project is low, and it is urgent to improve the digitalization and intelligence. Through the design of an online monitoring and electronic inspection system for the bioremediation process of coke contaminated soil and the development of intelligent early warning software, a study of information-specific technologies and data models for coke contamination remediation has been conducted. This paper focuses on three core elements of this field, including multidimensional data collection technologies such as Internet of Things and image recognition, big data processing technologies realized by relying on communication modules and cloud platform databases, and the construction of a neural network computational model for the soil bioremediation process. The information system has been tried out in the pilot process of soil bioremediation, realizing information management functions such as monitoring the operation status of sensors, inspection management, equipment's own status management, online monitoring and alarming of soil bioremediation parameters, and trend prediction of future soil parameters, forming a new generation of intelligent supervision system for soil bioremediation sites.

Citation Download Citation

XiaoWen Wang, WenSi Wang, NiYun Yang, XiaoWei Wang, FuYang Wang, XiaoShu Wei, YanPing Ji, WangXin Chen, and MengYi Zheng "Design and application of an intelligent monitoring and early warning system for bioremediation of coking contaminated sites", Proc. SPIE 12715, Eighth International Conference on Electronic Technology and Information Science (ICETIS 2023), 1271520 (20 June 2023); https://doi.org/10.1117/12.2682342

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
9 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Data modeling

Soil science

Soil contamination

3D modeling

Contamination

Internet of things

Environmental monitoring

Show All Keywords

Keywords/Phrases

Search In:

Publication Years