In the photovoltaic power station is the main aspects of the data quality problem?

Data diversification, lack of unified standard, integration difficult data including the components of photovoltaic power station, junction box, inverter, change power generation equipment and software systems such as box, etc. , the differences of different equipment to form the data diversification, but the industry does not have a series

data diversification, lack of unified standard, integration difficult data including the components of photovoltaic power station, the mother box, inverter, box-type transformer and other power equipment and software system. The diversification of the difference form the data of different equipment. However, the industry there is no uniform standard to manage multi-source data, makes data integration more difficult. Scattered data form the information isolated island, sharing difficulties. By the end of June 2019, the interconnection of centralized photovoltaic power station capacity will reach 130. 58000 mw, but with the increasing interconnection capacity does not match the power lack of fine management. Direct influence is the diversification of information systems and data. However, distributed photovoltaic power station has small size, large quantity, the characteristics of relatively scattered data information. In addition, each plant run independently, this makes it easy to form the 'information island', information sharing becomes difficult. Low data utilization rate of photovoltaic (pv) power plant with large amounts of data, it is an intangible asset. Imagine, if the data to obtain the very good use, they will have more valuable. However, we often do not take the basic data collection and analysis, data utilization rate is generally low. Above is photovoltaic power station in the operation and management of data problems, leading to a lower plant overall data quality. Improve the level of data quality is photovoltaic power station status analysis and evaluation, the basis of intelligent operation and fault diagnosis. Is an urgent need to formulate a uniform standard, and put forward more reasonable system of photovoltaic power station post, strengthen the emphasis on data quality. The effective data management, of course, is one of the ways to improve the quality of data. Countries new data for the current control data that exist in the process of dispersion, dispersion, low standard, data utilization problem, a data management system is established. Through standardization, quality testing, analysis, diagnosis, cleaning, integration, monitoring operations, such as optimizing decentralization, diversification of core data, the formation of data control system, the promotion and the application value of the mining data. Data management system can explore and improve data from various application value. In the construction of data standardization, the business process analysis and comb, had good design and formed data standards; In terms of data quality improvement, through quality inspection, analysis, diagnosis, and cleaning, handling dead number and the number of empty data quality problems, improve the quality of the data; In terms of data integration, all types of processed with high quality production data is stored in the form of unified, centralized, easy to call and sharing, application integration support big data. Power station on the basis of the high quality of the data, the formation of a unified management standards, make the decision more accurate. When power station malfunction problem, quick response and positioning, reduce or avoid unnecessary economic loss; Improve the execution power station staff and work efficiency, greatly alleviate the pressure operation maintenance.