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| System Design and Experimental Verification of Multi-SensorEnvironmental Monitoring for Intelligent Warehousing#br# |
| WU Yuhan 1 ，ZHA Li 1* ，GU Xuanyu 1 ，CHU Liang 2
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1．Zhengde Vocational and Technical College，Nanjing 211106，China;2．School of Electronics and Information，Hangzhou DianziUniversity，Hangzhou 310018，China
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Abstract To overcome the limitations of conventional warehouse environmental monitoring，we developed an
intelligentIoT-based monitoring system employing multi-sensor data fusion．The system adopts a hybrid ZigBee/
NB-IoT wireless architecture and a multi-node sensor network to monitor key environmental parameters(e．g．，
temperature，humidity，illuminance，CO 2 levels，an articulate matter concentration)． A cloud-based adaptive
weighted fusion algorithm optimizes multi-source data processing，enhancing measurement accuracy and system
reliability．Furthermore，a fuzzy logic-based control algorithm facilitates autonomous environmental regulation．
Experimental results validate the system＇s stable hardware performance，robust communication links，and full-
featured remote platform，demonstrating its efficacy in precision environmental monitoring and scalable
management．
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Published: 25 February 2026
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