Research On Visual Analysis Method Of Urban Power Supply Data

The power data visualization can realize the power characteristic information of various attributes and operating states in the online monitoring data of massive power equipments in a graphical and visual presentation,which provides a powerful guarantee for timely and effective monitoring and analysis of the equipment operating status.The city’s power supply data contains valuable information such as the city’s power supply security situation and power development.With the development of smart cities and smart grids,urban power supply data has become increasingly complex.Urban power supply display and abnormal monitoring based on smart city power supply data have become the primary task of maintaining the security of urban power supply systems.The existing power data visualization system can not display the power supply line and multidimensional power data in the urban power supply network.This thesis first summarizes the city power supply data and space-time data visualization technology,and then proposes the city power supply data based on the power line layout optimization.Visualization method,and in order to allow the power department management personnel to easily observe the power supply situation and analyze the power problem,a set of visual analysis system suitable for urban power supply data is proposed.In the system,the visual glyph and the design for the city power supply data are designed.Rich interactive means to help power analysts to explore urban power supply data.Finally,through case analysis and power sector experts to verify the effectiveness of the system,through the user evaluation,the visualization method of this thesis is compared with the traditional visual view to verify the visualization method.The feasibility and practicability of the application in the visualization of urban power supply data.The main research work of this thesis can be concluded as follows:(1)Summarize and analyze the visualization of urban power supply data and the visualization method of spatio-temporal data.Firstly,it summarizes the related work of urban power supply data visualization,points out the existing problems of urban power supply data visualization system,then introduces the related application of space-time data visualization technology in the morning,and finally combines urban power supply data visualization and spatio-temporal data visualization technology,and draws on multiple objectives.The optimized line layout algorithm provides a theoretical basis for urban power supply data visualization.(2)A method for visualizing urban power supply data based on route layout optimization is proposed.Aiming at the problem of occlusion and visual chaos caused by direct drawing of power supply lines in urban power supply system,an optimal layout algorithm for power supply lines based on multi-objective constraints is proposed.Through the constraints of multiple objective functions,the power supply line is optimized to facilitate user observation and interaction without changing the topology of the power supply line.At the same time,it combines the visualization technology to encode multiple power supply attribute information of the line,and designs corresponding visual views for substation and power users.(3)A set of visual analysis systems suitable for large-scale urban power supply data is proposed.Firstly,according to the discussion with the experts in the power sector,the detailed requirements of the system are determined.Then,through the processing and analysis of the city power supply data,the visual graphics suitable for visualizing the city power supply data are designed,and the visualization technology such as electronic map is used to display the spatio-temporal information of the city power supply data.The system also provides a wealth of interactive means,allowing users to explore the power supply information based on the hierarchical information of the city’s power supply data.Finally,the validity and practicability of the visualization system are further verified through case analysis and user evaluation.