NE2-D11E & NE2-D12E Industrial Serial Servers
NE2-D11E (RS485) and NE2-D12E (RS232) are industrial-grade serial-to-ethernet servers enabling bidirectional transparent data transmission between serial devices and TCP/IP networks with MQTT/HTTP cloud connectivity.
Core Product Features
Robust Industrial Design
PC-encased metal housing withstands -40°C to 85°C operating temperatures with DIN rail mounting options for harsh environments.
Multi-Protocol Gateway
Supports Modbus TCP↔RTU conversion with 5 gateway modes including storage-type and multi-master configurations.
Cloud Integration
Direct connectivity to AWS IoT Core, Azure IoT Hub, and major Chinese clouds (Aliyun/Baidu/OneNET) via MQTT 3.1.1.
Network Resilience
Automatic reconnection + timeout reboot (configurable 1-60min) with heartbeat/registration packets for 24/7 operation.
Technical Specifications
Physical Parameters
- Dimensions: 110×66×30mm (W×H×D)
- Weight: 185g ±5%
- Housing: PC material with IP30 protection
Electrical Specifications
- Power Input: DC 8-28V via 2P 5.08mm terminal
- Power Consumption: 1.2W typical @ 12VDC
- Isolation: 1.5kV DC isolation (signal/power)
Communication Interfaces
- Ethernet: 10/100M RJ45 auto-MDIX
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Serial Protocols:
- NE2-D11E: RS485 (3P 3.81mm terminal)
- NE2-D12E: RS232 (DB9 female)
- Baud Rate: 600 bps - 460.8 kbps (default 115.2kbps)
Performance Metrics
- Packet Handling: 10KB serial buffer with frame header distribution
- Socket Capacity: Dual sockets (5 clients/server socket)
- Latency: <5ms serial-to-ethernet conversion
Industrial Application Scenarios
Factory Automation
Connect legacy PLCs (Siemens S7-200/Modicon) to SCADA systems via Modbus TCP without hardware replacement.
Energy Monitoring
Transmit smart meter data (RS485) to cloud platforms like AWS IoT for real-time consumption analytics.
Building Management
Integrate HVAC controllers (RS232) into BACnet/IP networks through HTTP POST/GET API endpoints.
Remote Site Monitoring
Deploy in substations with DHCP/DNS support for automatic network configuration in unmanned locations.
Predictive Maintenance
Enable vibration sensors to push data via MQTT to Azure IoT Hub for AI-driven failure prediction.
