工業自動化和 IoT

IoT-based predictive maintenance utilizes data from sensors and advanced analytics to predict when equipment or machinery needs maintenance. Analyzing specific patterns in performance and wear, it is possible to prevent unexpected breakdowns and extend the lifespan of assets.  

Remote diagnostics and monitoring use IoT connectivity and cloud data to remotely control equipment and machinery. It enables real-time identification of issues and performance anomalies. With this approach, the number of manual check-ups reduces, while troubleshooting happens quicker. 

Inventory management involves tracking inventory levels and movements through connected sensors and devices. This enables real-time insights into stock availability and location. Using IoT solutions for Logistics helps businesses optimize stock levels, reduce waste, and improve operational efficiency.  

Smart building and building automation imply the automated control of electrical, mechanical, and HVAC systems within buildings for energy efficiency and occupant comfort. Sensors and IoT devices adjust lighting, temperature, and ventilation based on real-time conditions and occupancy.  

Supply chain monitoring tracks and optimizes various processes involved in the production, storage, and distribution of goods. IoT-connected sensors and data obtained via software provide real-time insights on inventory levels, transportation conditions, and production efficiency. This enables better decision-making, improved operational efficiency, and greater supply chain visibility.