With the rapid development of network technology, the electric power Internet of Things needs to face a large number of electronic texts and a large number of distributed data access and analysis requirements. If the system wants to complete accurate and efficient data analysis and build an existing data and service standard system covering the entire chain of energy and power business on the existing basis, it must implement massive electronic text retrieval, information extraction and classification in the power grid system. In order to achieve this purpose, a DNN neural network classification model is constructed to classify the text information of the power grid, and the effectiveness of the method is verified by experiments based on data from the substation information system.

Noise FM jamming which has wide jamming band and large noise power is widely used in processing backup jamming to radar, fuze and communication. The paper adopt DDS combines with characteristic of FPGA chip to generate noise FM jamming. The method has large improvement in precision, structure and speed, and has broad application and prospect.

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Smart Grid reflects the worldwide facing energy problem and so will be one of the largest facilities deployments.Countries gradually published their act on Smart Grid research and application, as well as utilities. This paper introduces the Smart Grid understanding in CSG, attaching with some of its development plan.

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