Message integration and optimization based on substation monitoring information source-side maintenance

With the in-depth development of state grid and the improvement of technical means, the standardization, correctness and uniqueness of substation monitoring information have become increasingly demanding. In order to ensure the practical operability of information sharing between the source side and main stations of substations, the state grid monitoring message needs to achieve precise location of information and the strategy of self-integration and late optimization of data capacity lightweight. In this paper, Map-Reduce and ant colony algorithm is applied in a joint innovation. On the one hand, the monitoring information at the source side of substations is reduced by Map-Reduce technology; on the other hand, by the ant colony algorithm, the message is optimized the message after the light-weight processing, and the accurate monitoring information point is obtained. Through the verification, it not only improves the reading efficiency of the massive monitoring information message, but also deepens the understanding of the message information itself.