Based on the requirement of the Reduce of power information network failures, the power environment monitoring system based on big data is designed and implemented. The system includes five application modules: acquisition and monitoring module, resource management module, analysis and decision module, alarm center module and configuration management module. An improvement of Apriori algorithm by the unique design array which is used for data analysis can enhance efficiency of the algorithm. The system based on Big Data technology, by the efficient analysis of power data, environmental data, main data and external Data, to achieve a comprehensive perception of monitoring and operation analysis on power environment of computer room based on big data, intelligent auxiliary user decisions. Through research and implementation of the project, we can realize real-time monitoring of the video and the environment of the substation, besides we can locate and prevent the various alarms (fire, flooding and theft, etc.) timely. Providing effective technical support for staff remote inspection and troubleshooting. The project can prevent accidents, combat crime, protect property, ensure that the system is stable, and make the substation security technology improving to a new level.
Validity of the “Big Data Tendency in Education” Scale as a Tool Helping to Reach Inclusive Social Development