An extendable markup language based intelligent electrical consumption information verification and self-error-recovery system
Yang Liu, Junyong Liu, Hui Gong, Zhang Li, Xin Zhu, Hao Tian · 2013
At present, one of the hottest topics of constructing the electrical power system is to complement the intelligent electrical consumption information model. It can help to enable the interactions between suppliers and consumers seamlessly. However, verification and correction of information under the standard model become important issues due to heterogeneous information structures. Therefore for overcoming misunderstanding and correcting errors in the information according to the standard information model, this paper proposes an extendable markup language based information verification and error self-recovery system with functions of model extraction, model conversion, data verification and error correction. The algorithm of system modules can process data with highly functionalities based on schema concept. The experimental results show that the system has excellent data adaption and working abilities.