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.

China is one of the countries with the most natural disasters in the world. Natural disasters seriously endanger people’s safety and economic situations. Therefore, it is very necessary to strengthen the prediction and research on the characteristics and the causes of various natural disasters. Based on the Internet distributed and incremental crawling technology, this system crawls the knowledge literatures, disaster news and professional disaster data from domestic and overseas on natural disasters, as well as drawing on the advanced knowledge management concept, the captured data will be displayed in the form of knowledge tree. Integrating the authoritative global typhoon live maps and orthophotos which acquired by UAV to better monitor and predict typhoons; This system determined that the SSM framework is used as the system framework, combined MySQL and Redis database to store data stably and efficiently. In addition, the Echarts component can be used to analyze and visualize the crawled data. Big data analysis techniques such as knowledge graphs and related algorithms for literature analysis, data cleaning to better data store and display. In the end, it will enable the researchers to more easily and efficiently carry out the knowledge sharing, collaborative cooperation and interactive communication, which has the certain research significance and use value.

In view of the traditional surveying and mapping, such as total station measuring tape measure method is applied to building facade measurement of low operation, data precision, incomplete information, etc. as well as large quantities of urban and rural landscape building facade renovation project fund accounting, planning management and project controls. Research based on point cloud data map facade map site plan, based on the UAV remote sensing image, using c#+AE integration facade renovation management in the whole process of data and business processes to develop GIS system, for the urban road construction project planning, management, provides a quick and precise integration technology platform, "city double repair" in the current urban renovation related engineering information management has practical value.

This paper has a research basis on the leveling data of 5 years from 2008 to 2012 in cross-fault grounds of Fujian and Jiangxi province, by means of establishing three-dimensional finite element model to calculate the level of observed changes across the fault when the fault dip angle and the fault strike are not at the same time, and with five earthquake instances in Fujian and Jiangxi and the surrounding area from 2008 to 2012 to verify the reliability of its models. Then this paper integrated finite element model and the conclusion of five earthquakes to conduct a preliminary evaluation grading of 24 level observation areas in Fujian and Jiangxi. The results show that Fujian and Jiangxi cross-fault monitoring system has a strong level of seismic monitoring capability, when judging fault changes, it requires a combination of different ground level changes. At the same time, the factors influencing the monitoring ability of cross-fault level site are mainly fault dip Angle and the fault strike, especially when the dip Angle of fault is at 30° to 80° and the fault strike and horizontal ground are vertical, the reflecting ability of earthquake is the strongest.