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Eng. Proc., 2023, I3S 2023

The 8th International Symposium on Sensor Science - China

Nanjing, China | 29–31 March 2023

Volume Editor:
Huangxian Ju, Nanjing University, China

Number of Papers: 2

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Cover Story (view full-size image): The conference was organized by the MDPI open access journal Sensors (Impact Factor 3.275) and held in Nanjing, Jiangsu, China on 29–31 March 2023. With the discovery and artificial [...] Read more.

9 pages, 1135 KiB

Open AccessProceeding Paper

Application of Molecular Imprinting Technique in Separation and Detection of Natural Products

by Wenwei Li, Axin Liang, Zijia Lu and Yao Xie

Eng. Proc. 2023, 49(1), 1; https://doi.org/10.3390/engproc2023049001 - 20 Oct 2023

Viewed by 635

Abstract

The content of effective components of natural products is small, generally requiring to be extracted and purified using complex technology, and the detection method is both time-consuming and costly. Molecular imprinting technology is an effective means to prepare highly selective media. Molecularly imprinted polymers have the advantages of strong selectivity, simple preparation, reusability and have shown a good prospect in the separation and detection of various natural products. Based on the types of active ingredients of natural products, this paper reviews the separation and detection of natural products via molecular imprinting technology in recent years, and discusses the advantages and disadvantages of molecular imprinting technology, in order to provide reference for the subsequent application of molecular imprinting technology. Full article

(This article belongs to the Proceedings of The 8th International Symposium on Sensor Science - China)

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7 pages, 1125 KiB

Open AccessProceeding Paper

Analysis of the Fallback Values of Digital Control Systems in Nuclear Power Plants

by Zhenying Wang, Liu Liu, Zhiyun Liu, Yu Huang, Mingxin Hu and Tingwei Ma

Eng. Proc. 2023, 49(1), 2; https://doi.org/10.3390/engproc2023049002 - 14 Mar 2024

Viewed by 167

Abstract

A digital control system (DCS), based on the Mitsubishi MELTAC + HOLLIAS platform, has been developed in ACPR1000 nuclear power plants. To fully utilize the superiority of digitalized technology, an analysis of fallback value setting in a DCS was conducted. Fallback values, as the substitution of invalid signals when they are detected in a DCS, are in a uniquely dominant position to determine the system behavior and consequences of a nuclear power plant’s operation, as they participate in the control logic in place of invalid signals. After briefly introducing both the architecture of the ACPR1000 DCS and the invalidity management mechanism of signals, the failure mode of signals from sensors to DCS cabinets, the analysis range for fallback values, analysis principles a nd method, the implementation of modes for various signals, and engineering applications are summarized in this paper. This study is significant for enhancing the reliability of the instrument and control system itself and guaranteeing the safety level of nuclear power plants. Full article

(This article belongs to the Proceedings of The 8th International Symposium on Sensor Science - China)

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