Study Of Operation And Maintenance Training Techniques Based On Big Data

With the rapid development of power grid construction, scale and complexity of the grid system is also increasing, and various information systems have accumulated a lot of state information data about transmission equipment. It brings new problems and challenges to the operation and maintenance training. The traditional manual teaching and training have costly and low training effect features, so operation and maintenance training to promote standardization, efficiency, networking, visualization is the future trend of development.In one hand, with the development of network equipment running state detection technology, operation and maintenance policy makers disposal device status information is rapidly growing. On the other hand, the composition of other information is developing from a text and structured data-oriented into digital image and video data volume of unstructured data, which occupies most of data. In the development of automatic detection platform used in inspection of power transmission, such as robots and unmanned aerial vehicles, unstructured data analysis needs will greatly increase. Characteristics and size of these data led to rely on manual analysis experts having been unable to timely treatment, which restricted the above advanced detection methods playing a role in operation and maintenance decisions.This paper, achieves Data sharing and knowledge sharing training systems and state evaluation system, based on the detection, evaluation and maintenance skills state power transmission equipment on-line monitoring, live multi-source heterogeneous data detection training and assessment techniques research, and improves the level and efficiency of operation and maintenance training. In this paper, based on multi-source heterogeneous operation and maintenance test data, it studies the relevance between faults and test data, extracts feature information, and through transformers, circuit breakers troubleshooting cases library modeling and analysis, modeling and Analysis of infrared video library and detect ultrasound UHF spectrum library, this paper establish libraries of typical failure and infrared detector spectra library online training system, for students to learn. Finally, based on multi-source heterogeneous data, fault case library, this paper establish power transmission transport inspection training system based on large data, and develop mobile applications to facilitate student learning.The overall study shows that the study in this paper based on the large data transport inspection training techniques, provides a new approach to operation and maintenance training. It can effectively improve the fault diagnosis and repair decision making,and can generate significant economic and security benefits.