Simulation Study on the Optimization of Temperature Cable Layout in a Warehouse During the Ventilation

ABSTRACT The temperature data obtained from cables monitoring stored grain are crucial for real‐time surveillance of grain storage and serve as a reference for processes such as ventilation. This study focuses on optimizing the arrangement of temperature cables within the warehouse and employing numerical simulations to analyze the variation in grain temperature during a 7‐day cooling ventilation period. By comparing the predicted average temperature of bulk grain with the temperatures recorded by cable sensors, the study evaluates the potential benefits and cost implications of various cable layouts. The maximum difference in the average temperature between the monitoring temperature by cables and the predicted temperature in bulk grain was 0.70°C, and the root mean square error (RMSE) was 25.83% when the cables were arranged according to the national standard (National Standard of P.R. China, GB/T 26882.1‐2011). The study further examines the impact of optimizing cable layout, including variations in horizontal spacing, on the RMSE. It was found that reducing cable spacing decreased the RMSE but necessitated an increased number of cables. Conversely, increasing cable spacing led to a decrease in the number of cables but resulted in a higher RMSE. Based on an optimized non‐uniform layout with the less cables, which were inserted with dense cables near the wall and sparse cables in bulk grain, it was found that the RMSE was reduced to 22.23%, and the number of the cables was reduced by four cables compared to the national standard layout. The non‐uniform layout was also verified for applicability in large‐scale warehouses, showing a reduction of 26 cables compared to the national standard. The results demonstrated that the current cable layout of the national standard needs optimization, and that the optimization direction of the uniform layout does not guarantee economy and accuracy at the same time during the monitoring temperature in bulk grain. The non‐uniform cable layout, with fewer cables and improved monitoring accuracy, presents a promising approach for practical application.

Authors

Institutions

Publication Details

Journal
Journal of Food Process Engineering
Published
2024-11-01
DOI
https://doi.org/10.1111/jfpe.14769
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Simulation Study on the Optimization of Temperature Cable Layout in a Warehouse During the Ventilation

Kaimin Yang, Xiaoqian Dong, Yuancheng Wang, Fengjiao Chu
Journal of Food Process Engineering
Advanced Manufacturing and Logistics Optimization
article

Simulation Study on the Optimization of Temperature Cable Layout in a Warehouse During the Ventilation

Kaimin Yang, Xiaoqian Dong, Yuancheng Wang, Fengjiao Chu
article en

Abstract

ABSTRACT The temperature data obtained from cables monitoring stored grain are crucial for real‐time surveillance of grain storage and serve as a reference for processes such as ventilation. This study focuses on optimizing the arrangement of temperature cables within the warehouse and employing numerical simulations to analyze the variation in grain temperature during a 7‐day cooling ventilation period. By comparing the predicted average temperature of bulk grain with the temperatures recorded by cable sensors, the study evaluates the potential benefits and cost implications of various cable layouts. The maximum difference in the average temperature between the monitoring temperature by cables and the predicted temperature in bulk grain was 0.70°C, and the root mean square error (RMSE) was 25.83% when the cables were arranged according to the national standard (National Standard of P.R. China, GB/T 26882.1‐2011). The study further examines the impact of optimizing cable layout, including variations in horizontal spacing, on the RMSE. It was found that reducing cable spacing decreased the RMSE but necessitated an increased number of cables. Conversely, increasing cable spacing led to a decrease in the number of cables but resulted in a higher RMSE. Based on an optimized non‐uniform layout with the less cables, which were inserted with dense cables near the wall and sparse cables in bulk grain, it was found that the RMSE was reduced to 22.23%, and the number of the cables was reduced by four cables compared to the national standard layout. The non‐uniform layout was also verified for applicability in large‐scale warehouses, showing a reduction of 26 cables compared to the national standard. The results demonstrated that the current cable layout of the national standard needs optimization, and that the optimization direction of the uniform layout does not guarantee economy and accuracy at the same time during the monitoring temperature in bulk grain. The non‐uniform cable layout, with fewer cables and improved monitoring accuracy, presents a promising approach for practical application.

Journal of Food Process EngineeringVol. 47(11)
Shandong Jianzhu University (CN)
Affordable and clean energy
Openalex Percentile: Top 71%
Advanced Manufacturing and Logistics Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.