Backplane Systems Technology is proud to introduce ICP DAS DL-110S-E-W. The ICP DAS DL-110S-E-W is a robust IP67 remote data logger module designed to accurately measure and record illuminance, temperature, humidity, and dew point data. This compact device is a critical tool for environments where precise monitoring is essential, with an illuminance measurement range stretching from 0 to 100,000 Lux, temperature from -20 to +60°C, and humidity from 0 to 100% RH.
Equipped with the capacity to store up to 600,000 records complete with date and time stamps, the DL-110S-E-W ensures extensive data collection. This data can be accessed in real-time, thanks to the free accompanying software utility for Windows, and dedicated iOS and Android apps. These features offer the convenience of data retrieval from any location, as long as the device is network-connected.
Further enhancing its utility in industrial applications, the DL-110S-E-W supports key protocols such as DCON, Modbus RTU, Modbus TCP, and MQTT – a testament to its readiness for IoT applications. With RS-485 and Ethernet communication interfaces, plus redundant power inputs through PoE and DC input, it integrates seamlessly into existing systems.
The module’s built-in web server allows for straightforward configuration and firmware updates via Ethernet, eliminating the need for additional software. The DL300 Utility software further simplifies module configuration and real-time data monitoring, offering features like alarm event logging and group management of multiple modules.
For greenhouse automation, the DL series can revolutionize environmental monitoring, supporting cloud management solutions for optimal growth conditions and crop yield. When paired with the WISE-523xM-4GE IIoT smart host and iCAM series network cameras, it extends its capabilities to security, sending instant alerts upon unauthorized access, and supporting cloud-based management for real-time situational awareness. The DL-110S-E-W stands out as a versatile, durable, and efficient tool for precision environmental data logging.