With the vigorous development of digital economy, traditional industries such as petrochemical industry, energy power, intelligent building, marine engineering, water conservancy and water affairs continue to accelerate the pace of intelligence.Equipment condition monitoring and predictive maintenance is an integral part of ensuring safe operation of industrial production and facilities.Equipment condition monitoring can not only prevent failures, but also significantly improve production efficiency and product quality.Sensor technology is responsible for collecting key data of equipment in real time and realizing predictive maintenance through intelligent algorithms, which is the key foundation for comprehensive monitoring of equipment health status.How to process and analyze the collected data in real time and how to balance the cost-benefit ratio of the monitoring system have always been challenges faced by the industry.
The development of the industrial chain needs more platforms for collaborative communication, and innovative thinking needs more cross-border collisions. SENSOR TALKS aims at industrial chain communication and collision, building an interactive bridge with accurate scope, sufficient discussion and pragmatic topics for the industry, and inviting colleagues in the industry to participate together.

TALK Theme:

Equipment Condition Monitoring and Predictive Maintenance

Topics:

1. Equipment front-end data acquisition and analysis processing

2. Exploring equipment sensing technology routes and solutions

3. Real-time monitoring and predictive maintenance

4. Application and progress of AI (or MEMS) technology in condition monitoring and predictive maintenance