This paper presents a method that can achieve the centralized management, unified monitoring and interactivity throughout the network for monitoring equipments of different manufacturers. This method achieves the automatic detection and extraction of different monitoring equipments communication protocols by capturing and analyzing the network packet. And it also achieves dynamic self-adaptive adjustment of resolution and flow-speed of audio and video data by dynamic analysis. The design implements a software system of distributed heterogeneous network and remote video surveillance, and achieves remote centralized management of video surveillance equipment which not provides compatible development kits.

Short-term load forecasting in power system is an important daily work in Dispatch Operation Department of Power System. The level of forecasting accuracy directly affects the operating economy and supply quality of power system.This paper adopts the rough sets to forecast short-term load. It designs an overall structure of forecasting the short-term load based on the rough sets, applies the rough sets to analyze the importance of attribute of each condition on decision-making attribute and then gets a reduced forecasting system, lists examples to forecast short-term load on the basis of the real historical data, and compare the results with the traditional decision-making tree algorithm. The results of this study prove that the rough sets is much practical in short-term load forecasting.

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