CAJ | 학술논문

供电系统产业链包含规划、设计、建设、运行、管理和设备制造6个环节，分析了不同环节对应用大数据的需求强弱和相对应用成熟度，各环节的需求强度和相对应用成熟度由强到弱依次为：管理、运行、设备制造、建设、设计、规划。采用态势分析法，分析了在配电网中应用大数据的机遇和挑战。供电企业内部的大数据源包括物理电网运维、供电营销服务和电网企业运营，目前各种非结构数据量正呈爆炸式增长，如何利用大数据带来的数据密集型科学进行科技创新以更好地服务社会仍需努力钻研。
공전계통산업련포함규화、설계、건설、운행、관리화설비제조6개배절，분석료불동배절대응용대수거적수구강약화상대응용성숙도，각배절적수구강도화상대응용성숙도유강도약의차위：관리、운행、설비제조、건설、설계、규화。채용태세분석법，분석료재배전망중응용대수거적궤우화도전。공전기업내부적대수거원포괄물리전망운유、공전영소복무화전망기업운영，목전각충비결구수거량정정폭작식증장，여하이용대수거대래적수거밀집형과학진행과기창신이경호지복무사회잉수노력찬연。
The industrial chain of power supply system consists of six links, i.e. planning, design, construction, operation, management & regulation and equipment design and manufacturing. Demand strength and relatively mature degree of these six links were analyzed. They can be ranked according to intensity and relative application maturity from strong to weak demandas: management, operation, equipment manufacturing, construction, design and planning. SWOT method was used to analyze both opportunities and challenges of big data application in power distribution networks. The big data source of power supply enterprise's internal operation consists of 3 parts, physical grid operation, marketing service and grid enterprise operation. At present, all sorts of unstructured data are exploding, how to make use of data-intensive science for science and technology innovation to serve the society still need to study hard.