Accurate recognition and extraction of massive device monitoring signals based on dynamic updating of genetic ant colony algorithm

In order to improve the technical level of the grid state operation, the ant colony algorithm based on dynamic updating is proposed for the massive signal analysis in grid state system with the complexity of the structure and the high reliability. Though data mining and updating in dynamic correlation rules of device monitoring signals with evolutionary genetic algorithm, the correlation analysis of device signals is realized; and then through the dynamic ant colony algorithm grid signal location and analysis technology, the device monitoring signal accurate semantic extraction and expression is achieved. Through the massive signal analysis and reading test, the validity of the signal correlation judgment and signal file expression analysis is verified.