7 posts tagged with "Smart industry"

Industrial IoT helps metalworking SMEs, squeezed by rising energy costs, foreign competition and average operating margins below 10%, by giving them real-time visibility on machine status, production times, process efficiency and energy consumption. With the Mative Cloud and Mative Synapsis Industrial Edge platforms they can find bottlenecks, move to predictive maintenance and cut energy waste: SMEs that took this path report up to 30% less machine downtime and 15-20% higher production efficiency.

The Transizione 5.0 implementing decree gives Italian companies a clear regulatory framework to access tax incentives for innovative and sustainable technologies. It widens the range of certifiers and the exclusions from the general DNSH ban, removes general cumulation with other EU funding and keeps cumulation with nationally funded incentives, except the ZES and Transizione 4.0 tax credits. Mative's Synapsis ML collects and analyzes production and energy data that certifiers can use for the ex ante and ex post certifications.

Industrial IoT (IIoT) connects machines, sensors and management systems in a continuous, real-time data flow that companies use to monitor performance, detect imminent failures and reduce downtime. Mative Cloud is Mative's IIoT platform: independent of hardware, it collects and stores device data in the cloud, runs remote commands and over-the-air firmware updates, creates intelligent alerts and integrates PLC plants through protocols such as MQTT, Modbus, OPC UA and CANopen.

Industry 4.0 bonuses are tax credits for companies resident in Italy that invest in new 4.0 material assets (Annex A of Law 232/2016) and in related intangible assets such as software, platforms and cloud computing services (Annex B). For investments until December 31, 2025, material assets earn 20% of the cost up to 2.5 million, 10% from 2.5 to 10 million and 5% from 10 to 20 million, while related intangible assets earn 10%. The deadline moves to June 30, 2026 if by December 31, 2025 the order is accepted and a 20% deposit has been paid.

In Smart Industry, big data is the vast, real-time flow of data that connected machines generate along the entire production chain, estimated at several terabytes per hour, with information on equipment performance, product quality and plant status. The real challenge is managing and analyzing it: Mative handles this flow with robust, scalable systems that process, store and analyze information in real time, and its Synapsis ML algorithms turn the data into predictive, optimized decisions.

IoT and machine learning bring energy and economic savings to a manufacturing company by monitoring machinery and facilities in real time, enabling predictive maintenance and optimizing production schedules and processes. For a window, door and frame manufacturer, Mative's forecast analysis one year after adopting its IoT and ML solutions estimates 20% lower energy consumption, 15% lower operating costs, 25% higher production efficiency and 10% savings on maintenance costs.

In smart industry, machine learning analyzes data from IoT sensors and production processes to predict maintenance needs and failure risks, optimize logistics and supply chains, automate industrial processes and make quality control more rigorous and immediate. Instead of relying on periodic maintenance, companies prevent sudden failures and production stops, and by combining machine learning with Digital Twins they can test products and services efficiently while reducing errors.