Abstract: Big data technology is a technology that has emerged in recent years, and its application in electrical engineering construction can better cope with the complexity of the protection and measurement and control device network under the multi-interval configuration of the substation, the large amount of telemetry, and the discontinuity of the address, which results in a large amount of repetitive workload and a long time-consuming remote telemetry point-to-point. In order to improve the efficiency of remote telematics point-to-point, this paper proposes a data-driven intelligent substations information efficient verification technology. First of all, for intelligent substations, an efficient information point-to-point system architecture is proposed based on virtual secondary devices and dispatching terminals accessing the actual telematics gateway machine; the system regards multi-device telematics as a whole, adopts multi-point random non-repeat extraction method to realize full-coverage point-to-point checking, and proposes a data-driven model-based inconsistency checking analysis method to carry out point-to-point checking of the information, and further feeds back to the whole for the inconsistency information. Improved extraction verification method is adopted to realize the closed-loop processing of remote telecommunication point-to-point to improve the accuracy of information point-to-point. Engineering examples verify the efficiency and accuracy of the results.