Cold Chain Monitoring IoT: Data That Passes Inspections




The Investimenti Sostenibili 4.0 grant, opening on 6 October 2026, funds up to 75% of eligible costs for southern Italian SMEs (35% non-repayable grant and 40% zero-interest loan) for projects that combine Industry 4.0 technologies with at least a 5% annual energy saving. Because 4.0-enabling technologies must be preponderant (over 50% of eligible costs) and the saving must be documented, the IoT layer of sensors, gateways, cloud and analytics is the core of the application.

The SOS Panic Button is Mative's onboard emergency system that lets drivers and operators request immediate assistance with a dedicated button: once activated, it can call predefined emergency contacts, transmit the real-time GPS location, identify the vehicle and notify the operations center. It can interoperate with the infrastructures of the European Emergency Number 112 through "Where ARE U" services, extends to wearable Lone Worker devices, and has been adopted by AMAT Palermo, the public transport operator of Palermo.

AI accident reconstruction turns the raw accelerometer data that a vehicle's GPS tracker sends after an impact into a clear, objective impact report available in real time. Mative Cloud isolates a ±5-minute window around the event, a Machine Learning model classifies the side of the impact (front, rear, left or right) with an accuracy exceeding 95%, and an LLM turns that result into a readable narrative for car rental and fleet operators.

On-board load weight measurement tells a fleet manager how much each truck is carrying in real time, without installing load cells in the suspension. Mative's solution fits an angular sensor on the chassis, linked by a rod to the axle: the heavier the load, the more the suspension deflects and the wider the angle. After a calibration at a weighbridge, the cloud converts that angle into weight with an accuracy of 3–5% of the maximum payload.

Mative's depth measurement system for excavators continuously detects the position of the arm's moving elements and, with a proprietary geometric algorithm, computes in real time the excavation depth with centimeter-level precision. The data are sent automatically to the cloud, where site and fleet managers can monitor, archive and analyze them, and the system installs quickly without modifying the machine structure.

The Open Charge Point Protocol (OCPP) is the open standard, introduced in 2009 by the Open Charge Alliance, that lets EV charging stations and central management systems (CSMS) communicate regardless of manufacturer. It uses an asynchronous request/response model over WebSocket, supports smart charging and offline operation, and is today the de facto standard in Europe and North America, with OCPP 1.6 the most widely deployed version and 2.0.1 the latest.

RFID monitoring on garbage collection trucks identifies every bin automatically: a passive UHF tag on the container is powered and read by an antenna near the lifting mechanism, and the onboard computer confirms the emptying with the arm sensors. Each collection event is enriched with timestamp and GPS coordinates and sent over 4G/5G to Mative's back-office, where it supports Pay-As-You-Throw billing, route optimization and SLA monitoring.