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September 30, 2025Electrotehnica Electronica Automatica

Automated Warehouse Environment Monitoring and Intelligent Control Strategy Based on IoT Sensors

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The proposed system improves real-time monitoring accuracy, utilizing a sensor network to track temperature, humidity, and gas levels.
By integrating fuzzy logic control with deep learning, the system dynamically adjusts environmental settings, effectively reducing energy consumption.
This innovative control strategy outperforms traditional methods, leading to reduced operational costs and enhanced stability in cargo storage environments.
The findings indicate potential for application in other sectors requiring environmental precision, such as smart factories and medical storage.

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Implication

This analysis presents a system for environmental monitoring in automated warehouses, suggesting it optimizes energy use and enhances control through IoT and deep learning.

Cite This Study

Xiang Zhou (2025) studied this question.

synapsesocial.com/papers/68dc12cc8a7d58c25ebb0e54 https://doi.org/10.46904/eea.25.73.3.1108009

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Implication

This analysis presents a system for environmental monitoring in automated warehouses, suggesting it optimizes energy use and enhances control through IoT and deep learning.

Automated Warehouse Environment Monitoring and Intelligent Control Strategy Based on IoT Sensors

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Discussion

Implication

Cite This Study

Automated Warehouse Environment Monitoring and Intelligent Control Strategy Based on IoT Sensors

Key Points

Discussion

Implication

Cite This Study

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