Two distinct solutions are tailored to enhance your efficiency and lower operational costs.
1. Equipment Status Monitoring
2. Oil Quality Monitoring
All Kinds of Sensors
Equipment Status Monitoring
How Does the System Work
- All kinds of sensors are installed on equipment to collection data such as vibration, temperature, rotation speed, current etc.
- Collected data is transfered via cable or wirelessly to the data processing server and analyzed according to big data and experienced equations.
- Alarm for potential problems are shown on PLC, computer, or mobile phones.
Advantages
- Early Warning: The system alarms about potential problems months in advance, allowing for maintenance to be done on time before any real loss happens.
- Loss Prevention: It prevents losses from equipment damage, poor product quality, and wasted raw materials that result from abnormal production line shutdowns.
- Convenient Monitoring: Online monitoring, available on computers and a mobile app, saves manpower and effort on routine checks.
- Inventory Cost Reduction: Parts and components can be ordered only when needed, avoiding the high cost of keeping inventory that might never be used.
- Easy History Tracking: Historical daily and monthly reports for all monitored equipment are easy to trace and review.
We Provide Flexible Solutions for Various Applications
1. Cost-effective monitoring that shows equipment status (normal/abnormal) without detailed diagnostics
Choice A: Local Monitoring via PLC
Sensors are connected directly to a Programmable Logic Controller (PLC), which displays the equipment’s working conditions on its local screen.
Cost Consideration: The required investment includes sensors and a PLC. However, if a PLC is already present on-site, its cost can be excluded.
Choice B: Cloud-Based Remote Monitoring
Sensor data is transmitted to a cloud IoT platform, enabling remote real-time monitoring of equipment conditions from any computer or mobile app.
Cost Structure
Hardware: Sensors.
Software: Annual subscription fee for the cloud IoT service.
Alternative: For clients requiring on-premises deployment, a local IoT server can be purchased and installed upfront, eliminating the annual fee.
2. For expensive and critical equipment: precise fault diagnosis pinpoints the exact root cause of any abnormal operation.
Capabilities:
The system can detect a wide range of typical equipment faults, including:
• Motor bearing faults
• Rotor mass imbalance
• Baseplate or foundation looseness
• Motor phase loss (phase failure)
• Motor winding short circuit
• Coupling misalignment (parallel and angular)
• Abnormal motor temperature / Overtemperature
• Motor rotor eccentricity
• Rotor bar faults
• Bent rotor shaft
Display & Monitoring Options:
You have three choices for how to access the monitoring information:
Local PLC Display: View data directly on the PLC screen.
Cloud IoT Platform: Monitor your equipment remotely from any computer or mobile app via our secure cloud platform.
On-Premises Server: For maximum data control and customization, host the platform on your own local server, accessible via your company’s network.
Investment & Benefit:
Deploying an on-premises server involves a higher initial investment but delivers enhanced capabilities, including support for more complex fault diagnoses and higher measurement accuracy.
Typical Applications
Application Examples
1. 1300kW Fan in an Aluminum Factory
- Our online predictive maintenance system continuously monitors the motor’s health to detect potential failures before they occur.
- This solution effectively extends equipment uptime while significantly reducing daily inspection labor costs and unplanned downtime.
2. Water Conservancy Pumps
- The predictive maintenance system uses an AI cloud platform to analyze data and provide maintenance strategies for motors and pumps.
- It helps customers effectively extend uptime while greatly reducing daily inspection labor costs and equipment downtime.
3. Boiler Coal Mills
- A factory utilizes dozens of boiler coal mills. Our online monitoring system uses a cloud AI server to analyze data and provide predictive operation and maintenance strategies.
- It effectively extends equipment uptime while greatly reducing daily inspection labor costs and downtime.
