Problem Statement
IoT enabled risk monitoring system in Cold Supply Chain
In large commercial buildings, automated systems for monitoring temperature, humidity, and other gas compositions in cold storage are installed. However, a cost-effective system that combines GPS, remote sensors, cloud computing, and big data is required for monitoring the location, temperature, and other environmental parameters in real time.
PS Number: PSIOT004
Domain Bucket: IOT
Category: Hardware
Dataset : NA
To provide a hardware and software solution that can recognise, follow, and keep an eye on the project’s progress in real time. Additionally, the system should be able to store all developed assets in a databank and provide analytics from that.
Background of the Problem
Monitoring temperature, humidity and other gas compositions in cold storage are in built and automated in large cornmercial premises. However, monitoring the real time location, temperature and other parameteE need a cost effective system which may be integrated by GPS, remote sensors, cloud computing and big data.
Objective
To give a software and a hardware solution that can identify, track and monitor the progress of the project on a real time basis. The solution should also have the capability to store a databank of all the assets created and give the analytics from the same.
Summary
Since handling of environmentally sensitive products requires close monitoring under prescribed conditions throughout the supply chain, it is essential to manage specific supply chain risks, i.e. maintaining good environmental conditions, and ensuring occupational safety in the cold environment. The purpose is to propose an Internet of Things (IoT)-based risk monitoring system (IoTRMS) for controlling product quality and occupational safety risks in cold chains.