He Yuanrong, Yang Yujie, He Tingting, Lai Yangfeng, He Yudong, Chen Bingning
Big Data Institute of Digital Natural Disaster Monitoring in Fujian, Xiamen University of Technology, Xiamen 361024, China.
Hunan Key Laboratory of Remote Sensing Monitoring of Ecological Environment in Dongting Lake Area, Changsha 410004, China.
Sensors (Basel). 2024 Feb 5;24(3):0. doi: 10.3390/s24031033.
In order to address the challenges of small and micro-water pollution in parks and the low level of 3D visualization of water quality monitoring systems, this research paper proposes a novel wireless remote water quality monitoring system that combines the Internet of Things (IoT) and a 3D model of reality. To begin with, the construction of a comprehensive 3D model relies on various technologies, including unmanned aerial vehicle (UAV) tilt photography, 3D laser scanning, unmanned ship measurement, and close-range photogrammetry. These techniques are utilized to capture the park's geographical terrain, natural resources, and ecological environment, which are then integrated into the three-dimensional model. Secondly, GNSS positioning, multi-source water quality sensors, NB-IoT wireless communication, and video surveillance are combined with IoT technologies to enable wireless remote real-time monitoring of small and micro-water bodies. Finally, a high-precision underwater, indoor, and outdoor full-space real-scene three-dimensional visual water quality monitoring system integrated with IoT is constructed. The integrated system significantly reduces water pollution in small and micro-water bodies and optimizes the water quality monitoring system.
为应对公园中小微水体污染难题以及水质监测系统三维可视化水平较低的问题,本研究论文提出了一种将物联网(IoT)与现实三维模型相结合的新型无线远程水质监测系统。首先,构建全面的三维模型依赖于多种技术,包括无人机倾斜摄影、三维激光扫描、无人船测量和近景摄影测量。这些技术用于获取公园的地理地形、自然资源和生态环境,然后将其整合到三维模型中。其次,全球导航卫星系统(GNSS)定位、多源水质传感器、窄带物联网(NB-IoT)无线通信和视频监控与物联网技术相结合,实现对小微水体的无线远程实时监测。最后,构建了一个与物联网集成的高精度水下、室内和室外全空间实景三维可视化水质监测系统。该集成系统显著减少了小微水体的水污染,并优化了水质监测系统。