Based on the existing distribution network drone inspection technology, a new standard with good universal applicability will be constructed. This standard starts from solving the problems of drone inspection data collection of distribution network lines, lack of flow of data information, numerous fault modes, and difficulty in tracing identification information. By solidifying the inspection and fault mode identification process, it clarifies universal fault identification and elimination. This method, based on the data integration link of industrial big data, solves the problem of no standards to follow for refined inspection of distribution network drones, and provides a basis for judgment for closed-loop distribution network operation and maintenance.