Download pdf
Design of real-time temperature monitoring system in liquor brewing process
- 1 North University of China
* Author to whom correspondence should be addressed.
Abstract
In comparison to internationally renowned liquors, China’s fen-flavor liquor is characterized by its milder taste and healthier properties. However, with the advancement of intelligent brewing technologies, the quality of foreign liquors has significantly improved, increasingly challenging the market position of Chinese liquors. This study begins with an overview of the liquor brewing process, emphasizing the critical role of temperature control in fermentation. Subsequently, we propose an innovative real-time temperature monitoring system specifically designed for liquor production. The system incorporates a precisely engineered temperature sensor, complemented by a robust data transmission framework and an efficient storage module for real-time temperature visualization. To validate the system’s effectiveness, field tests were conducted at a distillery in Xinghua Village, focusing on real-time temperature measurement of brewing materials. The experimental results demonstrate that our system successfully achieves real-time monitoring of temperature variations during both the cylinder fermentation and material processing stages of liquor production. Compared with traditional methods relying on manual sensory evaluation and empirical judgment, this system enables more precise control over raw material proportions, thereby enhancing both the flavor profile and production yield of fen-flavor liquor. This technological advancement represents a significant step toward the intelligent transformation of traditional Chinese liquor-making techniques.
Keywords
liquor, brewing, temperature monitoring, intelligent
[1]. Luo, J. (2018). Research on the current situation and development of intelligent home brewing machines based on microcontrol technology. Wireless Internet Technology, 15(13), 142–143, 146.
[2]. Zhou, B. (2023). Design of a smart agricultural greenhouse monitoring and control system based on the Internet of Things (Master’s thesis). Xidian University.
[3]. Hou, D. (2024). Back-end design of a digital chip communication module for smart agriculture (Master’s thesis). Zhejiang Ocean University.
[4]. Wang, M. (2024). Research on an intelligent greenhouse environment monitoring system based on multi-sensor integration (Master’s thesis). Wuhan Institute of Technology.
[5]. Xu, S. (2024). Application and research of artificial intelligence technology in brewing. China Liquor, (08), 42–43.
[6]. Zhang, J., Wang, L., & Zhou, Y. (2025). Design and implementation of an intelligent irrigation control system. Agricultural Equipment & Vehicle Engineering, 1–11. Advance online publication.
[7]. Xiong, F., Yang, C., & Li, Y. (2025). Research progress on electronic textile sensors for temperature monitoring. New Chemical Materials, 1–8.
[8]. Zhang, L. (2025). Design and implementation of an agricultural soil regulation system based on LoRa technology. Internet of Things Technology, 15(05), 91–95.
[9]. Wen, S., & Su, J. (2025). Design of an ECG monitoring system based on STM32. Integrated Circuit Applications, 42(01), 55–57.
[10]. Zhang, L. (2025). Design of an intelligent cold chain logistics system for agricultural products based on the Internet of Things. Integrated Circuit Applications, 42(01), 356–357.
[11]. Liao, D. (2024). Analysis of real-time data transmission and monitoring methods for intelligent terminal devices. Integrated Circuit Applications, 41(12), 100–101.
[12]. Liu, P., Zhou, Y., & Zhou, G. (2024). Design of a cable terminal joint temperature monitoring system based on STM32. Integrated Circuit Applications, 41(12), 10–12.
Cite this article
Yu,W. (2025). Design of real-time temperature monitoring system in liquor brewing process. Advances in Engineering Innovation,16(3),44-48.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
Disclaimer/Publisher's Note
The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of EWA Publishing and/or the editor(s). EWA Publishing and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
About volume
Journal：Advances in Engineering Innovation
© 2024 by the author(s). Licensee EWA Publishing, Oxford, UK. This article is an open access article distributed under the terms and
conditions of the Creative Commons Attribution (CC BY) license. Authors who
publish this series agree to the following terms:
1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons
Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this
series.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published
version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial
publication in this series.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and
during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See
Open access policy for details).