Smart Factory Machine Monitoring and Data Intelligence with IG502
1. Background and Challenges
Modern manufacturing facilities often struggle to integrate data from diverse legacy equipment and modern sensors
. Key challenges include:
Protocol Fragmentation: Machines use various incompatible protocols such as Modbus RTU, ISO on TCP (Siemens), and MC Protocol (Mitsubishi).
Harsh Environments: Standard networking gear often fails due to extreme temperatures or unstable power supplies in factories.
Data Overload: Uploading raw data from every sensor directly to the cloud consumes excessive bandwidth and causes latency.
2. The IG502 Solution
The IG502 serves as a high-performance edge computing gateway that bridges the gap between the factory floor and the cloud.
Multi-Protocol Collection: Using the built-in DeviceSupervisor Agent (DSA), the IG502 can simultaneously collect data from 80+ mainstream industrial protocols.
Edge Data Processing: Leveraging its ARM Cortex-A8 600MHz processor and Python programmability, the gateway performs local data filtering and smart analysis.
Industrial-Grade Reliability: The hardware is built to withstand temperatures from -20°C to 70°C and supports a wide power input of 12-48VDC..
3. Implementation Workflow
Step | Action | IG502 Feature Utilized |
Connectivity | Connect Siemens S7-1200 PLCs via Ethernet and legacy Modbus sensors via RS485. | 2x 10/100Mbps Ethernet ports and RS485/RS232 interfaces. |
Conversion | Convert PLC and sensor data into standard formats using a "zero-code" approach. | DeviceSupervisor Agent (DSA) service. |
Intelligence | Run custom Python scripts to trigger local alarms if a machine's vibration exceeds safe limits. | Python secondary development platform. |
| Send optimized data to the corporate cloud via 4G LTE or Wi-Fi. | Global cellular access and Wi-Fi/Ethernet failover. |
| Remotely update gateway firmware or monitor connection status. | InHand DeviceLive and Device Manager cloud services |
4. Key Benefits
Reduced Connectivity Costs: Only meaningful, pre-processed data is sent to the cloud, significantly lowering cellular data usage.
Uninterrupted Monitoring: Dual SIM card failover and hardware "watchdogs" ensure the gateway remains online even during network or software glitches
Scalability: New machines or custom logic can be added remotely via the Docker management or Python app deployment features.