Abstract
The scale of power grid equipment is huge, and the large amount of power grid spatial data is very likely to cause data display performance degradation. Therefore, the smooth display of power grid spatial data under large data volume has become a key technical problem to be solved in the construction of grid GIS applications. For the grid spatial data and its application characteristics, a large-scale grid spatial data dynamic loading and rendering method is proposed. The method uses MongoDB database to store grid spatial data; controls front-end data loading through grid resource data display rules and line data hierarchical compression to reduce network transmission and front-end drawing pressure; dynamically schedules data according to viewport range and establishes request cache and data cache on the client side to improve device rendering efficiency; uses HTML5 technology for data multi-threaded parsing of data and real-time drawing of device symbols. It has been proven that this method can significantly improve the fluency, interactivity and flexibility of existing grid GIS applications in Web graphics display in large data volume scenarios, and greatly improve the user experience.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Shi, X.H.: Grid GIS and Its Applications. China Electric Power Press, Beijing (2010)
Zhang, D., Wu, H., She, Y.: Research on the maintenance mechanism and key technologies of grid resource data based on unified grid resource model. Electr. Appl. S2, 423–427 (2015)
Tang, K., Zhong, Y., Wu, H., He, P., Xu, L., Qi, W.: Design and application of basic data quality management tools for power grid GIS. Power Inf. Commun. Technol. 02, 98–101 (2016)
Yi, Y.Q., Xi, J.F., Lei, W.G.: Research on multi-source multi-temporal multi-resolution spatial data quality control technology system for power grid GIS. South. Energy Constr. S1, 122–125 (2016)
Wang, H., Liu, K.: Construction and application of low voltage distribution network GIS combined with electric power camping and distribution integrated information platform. Power Informatiz. 8(1), 71–74 (2010)
Liu, T.: Analysis of construction and application benefits of GIS geographic information service platform for power grid. Digit. Technol. Appl. 10, 235–236 (2012)
Lin, F., Guo, B., Qian, W.: Grid geo-graphic application architecture for public grid GIS platform. Power Syst. Autom. 35(24), 63–67 (2011)
Chen, J., Wan, G., Sun, G., Liu, W., Yao, S.: Development and application of GIS platform power grid planning auxiliary decision system. J. Power Syst. Autom. 22(06), 99–103 (2010)
Huang, W., Yan, B., Tan, M., et al.: Research on optimal design of wind power collection system for offshore wind farms considering the influence of obstacles Area. Mod. Electr. Power 35(1), 6–13 (2018)
Dufilie, A., Grinstein, G.: Feathered tiles with uniform payload size for progressive transmission of vector data. In: Pfoser, D., Li, K.-J. (eds.) W2GIS 2013. LNCS, vol. 8470, pp. 19–35. Springer, Heidelberg (2014). https://doi.org/10.1007/978-3-642-55334-9_2
Maiellaro, N., Varasano, A.: One page multimedia interactive map. ISPRS Int. J. Geo Inf. 6, 34 (2017)
Gaffuri, J.: Toward web mapping with vector data. In: Xiao, N., Kwan, M.-P., Goodchild, M.F., Shekhar, S. (eds.) GIScience 2012. LNCS, vol. 7478, pp. 87–101. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-33024-7_7
Mapbox Co.: Mapbox Vector Tile Specification [EB/OL], 19 January 2016. https://www.mapbox.com/vector-tiles
Zhu, X., Zhou, Z., Li, J., Zhao, Y., Peng, Y.: Research on network vector map tile technology. Mapp. Bull. 11, 106–109+117 (2016)
Sun, C.-L., Huo, L., Gao, Z.-H.: Research on vector data organization method based on vector tiles. Mapp. Spat. Geogr. Inf. (04),122–124 (2016)
Cromley, R.G., Campbell, G.M.: Integrating quantitative and qualitative aspects of digital line simplification. Cartogr. J. 29(1), 25–30 (1992)
Guttman, A.: R-trees: a dynamic index structure for spatial searching. In: Proceedings of the ACM SIGMOD International Conference on Management of Data, Boston, pp. 47–54 (1984)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 State Grid Electric Power Research Institute
About this paper
Cite this paper
Cheng, W. et al. (2023). Dynamic Loading and Rendering Method for Large-Scale Power Grid Spatial Data. In: Xue, Y., Zheng, Y., Gómez-Expósito, A. (eds) Proceedings of the 7th PURPLE MOUNTAIN FORUM on Smart Grid Protection and Control (PMF2022). PMF 2022. Springer, Singapore. https://doi.org/10.1007/978-981-99-0063-3_32
Download citation
DOI: https://doi.org/10.1007/978-981-99-0063-3_32
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-99-0062-6
Online ISBN: 978-981-99-0063-3
eBook Packages: EnergyEnergy (R0)