Design and Testing of a Multi-Channel Temperature and Relative Humidity Acquisition System for Grain Storage

Chenyi Wei, Jingyun Liu () and Bingke Zhu
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Chenyi Wei: College of Urban Rail Transit and Logistics, Beijing Union University, Beijing 100101, China
Jingyun Liu: College of Urban Rail Transit and Logistics, Beijing Union University, Beijing 100101, China
Bingke Zhu: College of Urban Rail Transit and Logistics, Beijing Union University, Beijing 100101, China

Agriculture, 2025, vol. 15, issue 17, 1-17

Abstract: To ensure the safety and quality of grain during storage requires distributed monitoring of temperature and relative humidity within the bulk material, where hundreds of sensors may be needed. Conventional multi-channel systems are often constrained by the limited number of sensors connectable to a single acquisition unit, high hardware cost, and poor scalability. To address these challenges, this study proposes a novel design method for a multi-channel temperature and relative humidity acquisition system (MTRHAS). The system integrates sequential sampling control and a time-division multiplexing mechanism, enabling efficient data acquisition from multiple sensors while reducing hardware requirements and cost. This system employs sequential sampling control using a single complex programmable logic device (CPLD), and uses multiple CPLDs for multi-channel sensor expansion with a shared address and data bus for communication with a microcontroller unit (MCU). A prototype was developed using two CPLDs and one MCU, achieving data collection from 80 sensors. To validate the approach, a simulated grain silo experiment was conducted, with nine sensors deployed to monitor temperature and relative humidity during aeration. Calibration ensured sensor accuracy, and real-time monitoring results revealed that the system effectively captured spatial and temporal variation patterns of intergranular air conditions. Compared with conventional designs, the proposed system shortens the sampling cycle, decreases the number of acquisition units required, and enhances scalability through the shared bus architecture. These findings demonstrate that the MTRHAS provides an efficient and practical solution for large-scale monitoring of grain storage environments.

Keywords: stored grain; temperature; relative humidity; multiple sensors; sequential sampling (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2025
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