Construction and application of algorithm model system for China Spatial Planning Observation Network(CSPON)
The construction of the China Spatial Planning Observation Network(CSPON)is a crucial means to promote intelligent planning,that is"perceptive,capable of learning,good at governance,and self-realizing."It is also a key support for building a green and smart digital ecological civilization.Addressing the urgent need for scientific and systematic technical meth-ods in CSPON construction,this paper explores the methodological approach for CSPON algo-rithm model construction and application.It proposes a CSPON algorithm model technical framework supported by"high-performance computing","big data",and"large model"technol-ogies,oriented towards"large-scale scenario"applications.The paper illustrates its application in typical spatial planning implementation monitoring scenarios such as safety baseline control,planning transmission control,planning implementation assessment,and spatial pattern optimi-zation through practical cases.The research indicates that:(1)"High-Performance Computing"is the foundation supporting CSPON's growing demands for high-frequency data processing and dynamic computational analysis.It should fully integrate modern computing architectures such as cloud computing,edge computing,and distributed computing to strengthen CSPON's computational foundation.(2)"Big Data"is the cornerstone for constructing and operating CSPON algorithm model systems.The integration and mining of multi-source big data from"space,aerial,ground,sea,and network"can support algorithm models in more comprehensive-ly and accurately characterizing complex spatial systems.(3)"Large Model"is the"intelligent core"of CSPON.The"multi-model parallel use"mode,integrating traditional"small models"like GIS spatial analysis and machine learning algorithms with generative"large models"such as language and vision models,will become the mainstream trend in CSPON algorithm model application and development.(4)"Large-scale Scenarios"serve as the application carrier and target of CSPON.They should establish application scenarios combining"common scenarios"and"personalized scenarios"based on local characteristics and business needs,fully leveraging the roles and advantages of different CSPON algorithm models.The research results provide a scientific basis for accelerating the improvement of CSPON technical methods and their practi-cal application.
万方数据
维普
