IoT Condition-Based Monitoring
IoT-Driven Condition-Based Monitoring: Real-Time Industrial Health Intelligence
In a modern industrial environment, waiting for a machine to fail is a costly strategy. Our Condition-Based Monitoring (CBM) IoT Solution shifts your maintenance from reactive to proactive. By extracting high-fidelity data from machines, vehicles, cranes, and specialized equipment, we provide your maintenance department with the “digital pulse” of your entire operational fleet.
Universal Monitoring Across Your Assets
Our IIoT Controller is designed to be versatile, interfacing with diverse equipment types to ensure no asset is left unmonitored:
- Industrial Machinery: Track motor health, bearing temperatures, and cycle counts for CNCs, textile machines, and injection molding units.
- Heavy Vehicles & Cranes: Monitor engine health, fuel efficiency, hydraulic pressure, and load cycles for forklifts, overhead cranes, and earthmoving equipment.
- Infrastructure Equipment: Keep a watch on generators, compressors, and pumps, ensuring they operate within safe vibration and thermal limits.
The Hardware: Intelligent & Always Connected
Our ruggedized IoT Controller is built to survive harsh industrial floors and remote outdoor sites while offering superior intelligence:
- Triple-Path Connectivity: Equipped with Wi-Fi, GSM (4G/LTE), and LoRa support, ensuring your data reaches the cloud whether your asset is inside a shielded factory or in a remote mining site.
- Edge Reliability: Built-in Memory buffers data during connectivity drops, while advanced Power Management allows for continuous operation on vehicle batteries or internal backups.
- Plug-and-Play Integration: Easily connects to existing machine sensors or PLC outputs to start extracting “health signatures” immediately.
Empowering Your Maintenance Department
We provide the tools your technical team needs to prevent downtime:
- Real-Time Health Status: A live look at the temperature, vibration, and pressure levels of any machine in the environment.
- Early Warning Systems: Detect subtle shifts in machine behavior—like a slight increase in motor vibration—weeks before a catastrophic failure occurs.
- Mobile & Web Alerts: Instant Push Notifications, SMS, or Email alerts are sent directly to maintenance technicians the moment an asset exceeds pre-set safety thresholds.
Executive Insights & ERP Integration
We turn engineering data into business intelligence for middle and top management:
- Seamless ERP Sync: Using our robust API, all machine health data and maintenance logs are integrated directly into your existing ERP system (SAP, Oracle, etc.).
- Automated Work Orders: When the IoT controller detects an anomaly, it can automatically trigger a service request in your ERP, ensuring the right parts and people are ready.
- Strategic Reporting: Access automated reports on MTBF (Mean Time Between Failures), OEE (Overall Equipment Effectiveness), and asset lifespan trends.
Why Choose Our CBM Solution?
- Zero Human Intervention: Continuous, automated data extraction ensures accuracy and removes the need for manual inspections.
- Extended Asset Life: By operating equipment in optimal conditions, you significantly extend its usable lifespan.
- Reduced Operational Cost: Eliminate the expense of “emergency” repairs and planned maintenance that isn’t yet necessary.
- CPU
- MEMORY
- NOTE
Powered by the 8085 microprocessor operating at 3.072 MHz, ensuring stable performance for training and experimentation.
Supports up to 64KB memory (32KB EPROM and 32KB RAM) with a battery backup option for RAM, making it reliable for extended use.
The trainer kit comes preconfigured with 16KB EPROM and 8KB RAM for immediate use and easy upgrades.
- Key Features
- Applications
Processor: TMS320C6748 DSP from Texas Instruments.
Ease of Use: User-friendly design suitable for beginners as well as professionals.
Applications: From simple signal processing and analytics to real-time audio and video processing.
Debugging Support: Integrated with XDS100 V3 JTAG emulator for efficient development and testing.
Engineering and Polytechnic colleges.
Research labs and training centers.
Industrial training programs for skill development.