Cold storage is an essential component in the preservation of perishable food products and temperature-sensitive medicines. Maintaining a consistent and suitable environment is crucial for ensuring the longevity and safety of these items, as fluctuations in temperature and humidity can lead to spoilage, microbial growth, chemical degradation, and significant economic losses. Traditional cold storage systems often rely on manual supervision and conventional thermostatic controls, which are insufficient for addressing sudden environmental changes. This paper presents an Autonomous IoT-Based Intelligent Cold Storage Monitoring System designed to continuously monitor and control environmental conditions. The proposed system integrates temperature, humidity, and gas sensors (DS18B20/LM35, MQ-series) with a PIC16F877A microcontroller and an ESP8266 Wi-Fi module. It implements automated corrective mechanisms via water sprayers, heating elements, and ventilation. Through cloud integration, the system offers real-time remote tracking, immediate alert notifications, and continuous data logging. Experimental results demonstrate a 30% reduction in energy consumption and high reliability in predicting and preventing spoilage, proving its efficacy as a scalable solution for food warehouses, pharmaceutical storage, and hospitals.

The IoT-Based Intelligent Cold Storage Monitoring Sys- tem has demonstrated significant improvements in pre- serving food and medicines, enhancing operational effi- ciency, and elevating safety management. By integrating temperature, humidity, and gas sensors with automated control mechanisms, the system ensures real-time condi- tion tracking and remote supervision. The cloud-based dashboard provides enhanced visibility, enabling users to take immediate corrective actions. The system’s modu- lar and scalable architecture allows for easy adaptation to different warehouse sizes, setting a new benchmark for intelligent logistics.

[1]Yong-Dong Chang, Ching-Chih Chang, Jun-Hao Chen, “Development and Implementation of a High-Efficiency Solar-Powered Cooling System for Smart Industrial and Commercial Buildings,” 2025. [2]K Chethana, Bhoomika S B, Priyanka K N, “Development of a Fibre Optic pH Sensor Using Sodium Alginate Hydro- gel for Monitoring in EV Battery Cooling Systems,” 2025. [3]Hemachandran S, Rossario Reegan K, Pavithran B, Go- mathi S, “Investigation and Performance Analysis of Thermo Electric Cooling System for Electric Vehicle,” 2024. [4]Dong kyu Kim, Yeon wook Kang, et al., “Analysis of In- creasing Current Carrying Capacity Through the Applica- tion of an Air Cooling System in Underground Pipeline Section,” 2024. [5]Yin Hang, Wenying Zhang, Grace Piette, et al., “Long- Term Reliability Test on An Air Assisted Liquid Cooling System,” 2023. [6]G Deepa, S Keerthana, A Naveena, N Nakshathra, “A Wa- ter Sprinkler-based Automatic Cooling System in a Textile Company,” 2023. [7]Zhentao Wu, Zhaokai Xing, Jiahao Hu, Nan Ding, Zheng Sun, Yanli He, “Intelligent Monitoring Systems for Ma- rine Organisms in Nuclear Power Plant Intakes: A Survey,” 2022. [8]Liangyuan Chen, Ke Zhou, Dajian Li, Jian Zhao, “Tem- perature Characteristics Analysis of Transformer Cooling Systems Under Variable Loads,” 2022. [9]Huayu Lu, Hongfang Lv, “Design of automatic control sys- tem for cooling and dehumidification based on ESP8266,” 2021. [10]Andi Adriansyah, Akhmad Wahyu Dani, “Power Consump- tion Optimization in Cooling System using Knowledge Base Temperature System,” 2020. [11]Pengfei Wang, Weidong Li, Xiuhui Diao, “Hydrogen- cooled generator hydrogen quality cloud monitoring system based on ARM,” 2020. [12]Shuqin Guo, “Design of control system for 1000MW megawatt — Class evaporative cooling water turbine gen- erator based on LabVIEW,” 2019. [13]Sutapa Sarkar, K.S. Akshatha, Ankit Saurabh, “IoT En- abled Cold Supply Chain Monitoring System,” 2018. [14]Jose Anand, M Shobika, T Sneha, “Programmable Stickers to Monitor Perishable Goods using Blockchain,” 2018. [15]Shraddha G Srivatsa, Karthik R M Bharadwaj, Sri Lavanya Alamuri, “Smart Cold Storage and Inventory Monitoring System,” 2017. [16]Huanhuan Feng, Wensheng Wang, Bingqi Chen, Xi- aoshuan Zhang, “Evaluation on Frozen Shellfish Quality by Blockchain Based Multi-Sensors Monitoring and SVM Algorithm During Cold Storage,” 2017. K. Umamaheswari, M. Susneha, B.Sheeba Kala, “IoT based Smart Cold Storage System for Efficient Stock Man- agement,” 2016.

© 2025 International Journal of Engineering and Techniques (IJET).

Digital Object Identifier (DOI)

IJET assigns a unique DOI to every accepted article via Zenodo for persistent linking and citation. Your article’s DOI: https://doi.org/{{doi}}

Open DOI About Zenodo DOI

Close