The outlines principle from Fourier transform to wavelet analysis technology including Fourier transform, short time Fourier transform, continuous wavelet transform, discrete wavelet transform are presented. Based on this, a E-commerce model applied in electric power market is investigated. in this model, wavelet analysis can be applied to solve series problems. So, wavelet based power system signal de-noises and compression techniques, wavelet based security attestation techniques, wavelet based data mining and information fusion techniques, wavelet based loads forecasting and Electricity price forecasting techniques, wavelet neural networks based data mining and information fusion techniques are discussed.

Many developed countries in the world have adopted high technology to rebuild and improve the rail transportation industry actively. It has increased the security and automation degree of rail transportation greatly. Since "the ninth five-year-plan", the velocity and quality of rail transportation infrastructure construction are improved quickly by applying high technology in China. However, there still have much difference between china and the developed countries in the development of rail transportation. This paper systematically researches the application of high technology in rail transportation such as railway, metro, light railway, railway nearby suburb, maglev railway etc. and also researches the development road to high technology industrialization in transportation field, on the basis of viewing the current development condition and the trend of rail transportation in the world and analyzing the development status and trend of rail transportation in our country.

The front technologies: Linear motor drive technology, unmanned driving technology, and MCS technology, are all advanced technologies of rail transit fields in the world at present. These technologies are applied in some systems such as the subway, the urban light railway, the suburban railway, the high-speed passenger transportation and the heavy freight, which will improve automatic level and bring much more economic utility into rail transit system. So the concepts of those front technologies are introduced, and the work principles are discussed. The purpose is to strengthening people's knowledge of these new technologies and promoting the development of urban rail transit in our country.

This paper discusses the intelligent multi-agent technology, and proposes an intelligent multi-agent based Accurate fault location detection and fault diagnosis system applied in 10kv automatic blocking and continuous power transmission lines along the railway, Agents are software processes capable of searching for information in the networks, interacting with pieces of equipment and performing tasks on behalf of their owner(device). Moreover, they are autonomous and cooperative. Intelligent agents also have the capability to learn as the power supply network topology or environment changed. The system architecture is proposed, the features of each agents are described. Analysis brings forth the merits of this fault location and diagnosis system.

Forecasting the fault and danger in power system and limiting their incidence have been the emphasis in modern power system study. The abundant real-time data gathering in power system contain the complexity and uncertainty of the system, so mining and fusing a series of universal applicable quantities from these data to detect system fault and its stability is essential. Combining wavelet analysis, the modern time-frequency analysis technique, with entropy theory by exploiting their virtue will resolve the problem. In this paper, the feasibility of the wavelet entropy application in power system fault detection and distinguish is analyzed, the wavelet entropy concept based on wavelet analysis is defined, the computation methods of the two kinds of wavelet entropies are established, and the application of the wavelet entropy in transmission line fault detection is simulated and analyzed.