Transformative Solutions for Predictive Maintenance and Process Control in Manufacturing
Full-Stack, AI-Powered Solutions to Automate and Enhance Asset Reliability, Manufacturing Process Control, and Safety Protocols.
Al Analytics
Comprehensive Al analytics and dashboard suiteallows users to gather insights to optimizemaintenance and operational processes
Remote Viewing
View live Infrared & visible & acoustic & vibrationdata 4 video foode from Ill camerns and sensors.
Alerts & Alarms
Live alert & alarm notifications notify teams orindividuals via email, SMS, Slack, and other
Archival & Retrieval
Store critical data on the platform to enable trendanalyses, enhanced Al model trainina, and datacompliance
Integrations
Flexible integrations automatically generate systemwork orders or trigger facility responses in EAM,DCS, PLC, and SCADA systems
Software Updates
Ongoing cloud and edge software updates toenable ever-improving functionality, ensuringoptimum performance
MSAI In Manufacturing
- Motors
- Conveyor Systems
- Critical Power
Predictive Maintenance for Motors
MultiSensor AI allows organizations to optimize motor performance and enhance associated safety measures in their manufacturing operations. Leveraging a continuous stream of temperature datapoints from thermal cameras and sensors, MultiSensor AI continuously monitors the condition and performance of motors. The software leverages its proprietary algorithms to identify temperature anomalies and sequential temperature changes, comparing the temperature readings against normal operating temperatures. In doing so, MultiSensor AI streamlines the predictive maintenance and performance optimization of motors throughout a manufacturing operation.
Predictive Maintenance for Conveyor Systems
MultiSensor AI uses thermal imaging and sensing technology to identify temperature and vibration anomalies in conveyor systems, indicating potential issues such as abnormal friction, blockages, or overheating components. The solution establishes a baseline profile for a properly functioning conveyor belt and compares real-time temperature and vibration readings to the reference data. Any deviations help identify and diagnose problems such as misaligned or damaged rollers, belt slippage, material spillage, over tightened belts, fire risks, or other imminent maintenance needs. By identifying these problems early, users can prevent equipment failures, unplanned downtime, and safety issues throughout the manufacturing facility.
Predictive Reliability for Critical Power
MultiSensor AI streamlines critical power management in manufacturing operations by detecting temperature anomalies and hotspots in critical electrical equipment and systems. These temperature data points are leveraged by MultiSensor AI's AI-powered algorithm to identify asset reliability and employee safety concerns at the earliest possible stage, thereby minimizing unexpected failures and potential safety hazards. Leveraging deep analytics, the solution enables precise, predictive maintenance strategies for electrical assets, thereby extending asset lifespan and reducing repair costs. With MultiSensor AI, manufacturing operations are able to maintain a reliable power supply, minimize disruptions, and reduce operational costs.
Transform Your Manufacturing & Reliability Processes
MSAI Cloud harnesses the power of AI algorithms to analyze vast amounts of visual and sensory data in real-time, enabling manufacturers to achieve unprecedented levels of efficiency, reliability, quality, and safety. By continuously monitoring critical equipment and manufactured outputs, MSAI Cloud can identify potential defects or anomalies before they escalate, allowing for swift corrective action. MultiSensor AI's transformative technology not only streamlines operations but also empowers manufacturers to make informed decisions, driving continuous improvement and ensuring competitiveness in the global market.
