SROS: Sensor-Based Real-Time Observing System for Ecological Research

The environmental science communities are actively engaged in developing the next generation of large-scale sensor based field observing systems. The challenges that these systems face are listed as below: complexity of sensor data stream processing and effects of web-based real-time data display. In this paper, we utilized the RBNB DataTurbine, an open-source streaming data middleware to improve the reliability of streaming data transportation. By using server push technology, we ensure the stability and effectiveness of web-based streaming data visualization. The results indicate that the system has enhanced the efficiency and performance of field ecological data transportation and visualization. The system is currently used for observation by ecological research scientists at the Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences.