Stop reacting to failures and start predicting them. Transform your maintenance strategy with AI-powered vibration monitoring that delivers actionable intelligence before problems become emergencies.
BLIIOT BL192Pro Edge I/O brings safety and efficiency to automotive assembly lines with real-time monitoring and intelligent edge logic — no PLC required.
Predictive Maintenance is the answer. It is not an extra expense, but a strategic investment. And the key to unlocking this is equipping your factory with a proactive "Industrial AI Brain."
See how the BLIIOT BL192-Y24-Y24 MQTT Edge I/O module empowers smart energy systems with 8 relay outputs, built-in logic, and seamless cloud integration. Ideal for substation control, ESS switching, and renewable plant automation.
Predictive maintenance relies on early detection of subtle anomalies before equipment failure occurs. And vibration data is one of the most powerful indicators of machine health.
In critical industries such as power generation, petrochemicals, and metallurgy, large fans for ventilation, blowing, and cooling are indispensable. The health of their key components, like impellers and bearings is paramount to operational safety and efficiency.
BL192-Y31 MQTT Edge I/O collects analog signals and uploads real-time data to the cloud, empowering smart factories with efficient monitoring and predictive maintenance.
NPUs at varying levels—from low for basic tasks to high for advanced ones—cater to diverse scenarios, from smart homes to autonomous driving, video surveillance, and industrial maintenance, yielding benefits in each domain.
BA115 collects data from 180 fans and dampers, with Modbus TCP transmission and a PLC handling air volume, valve, and temperature linkage logic to ensure precise automated control, improve paint durability, and optimize energy efficiency.
Traditional I/O modules only collect signals. IOy goes further—adding logic control, edge computing, and remote management to make automation smarter and simpler.