To deal with the problem of ownership issue in the market allocation of data elements in China and guide the optimization and implementation of data element property rights policy, a one-dimensional convolutional neural network intelligent evaluation mechanism based on analytic network process and optimization of classical topology is proposed to accurately study and judge the reform of property rights allocation in the data element market of Chinese provinces. Firstly, an evaluation index system for the property right allocation reform of the data element market is constructed, which includes 39 index elements from the four dimensions of rights separation, market construction, governance security and innovation. Secondly, the ANP method is used to calculate the weights of indicators at all levels. Finally, the 1D-CNN model is used to evaluate the reform level of property right allocation in each province. The results show that the weight of right separation is the highest in the control layer of the index system, and among the seven index elements in the secondary indicators B32,B31,A22,C22,C41and A42and have the highest weight. Relevant government departments should focus on investigating and improving the corresponding ability. And there are significant differences in the level of property right allocation reform among the seven regions, showing a distribution trend of "higher in the east and lower in the west, with coastal areas higher than inland areas". East China has the highest score, and Northwest China is the most backward. Guangdong''s property right allocation level ranks A+, followed by Jiangsu, Beijing, Zhejiang and Shanghai, and Ningxia and Qinghai rank D. However, the reform level of property rights allocation is not simply equal to the economic development strength of the region, such as Chongqing, Tianjin and Hubei are only in the middle level. This paper provides important policy implications for enhancing the level of property rights allocation in data element market and promoting the reform of market-oriented allocation of data elements.