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The emergence and progress of new technology, big data, data mining, provide a new technical means for building intelligent distribution network. In order to realize the real reduction, fine analysis and accurate prediction of the distribution network operation state, the real, detailed and effective distribution network equipment running data recording and support is the key. The technology of storing all changed data of holographic time-scalar measurement data of the distribution network is studied. On the basis of data recording, health diagnosis method of power distribution equipment is studied and in-depth data mining on the distribution history data and model information is carried out. The equipment state diagnosis model and the evaluation system are established by cluster analysis, linear regression algorithm and entropy method, and the equipment fault assessment and early warning analysis are realized. The weak links in distribution network can be found in time to ensure the safe and stable operation of the distribution equipment. The system has been applied in the construction project of research and implementation of distribution network diagnosis method based on big data technology of district power supply company. It can well meet the demand of lean management needs of distribution network of district power supply company.