People now place a premium on cultural heritage and historical sites, and both are crucial to any nation’s development. One example of this is the historic district. While exploring the historic area, one can easily sense the marks left by the past, and the knowledge provided by the blocks may help one better comprehend the district’s cultural background and its origins. The challenge of understanding neighborhood information in historic neighborhoods cannot be solved using traditional approaches. Consequently, this study suggests a platform for historical district information analysis of neighborhood data that is built on big data technology. In order to minimize the block information’s interference, the indicators are first segregated according to the needs of the block information, and then the historical district information platform is designed using the computer. The computer then creates the block information scheme, builds the platform for the historical district information, and produces the block information. Perform an exhaustive investigation. A MATLAB simulation demonstrates that, according to certain assessment criteria, the big data-based historical district information platform comprehends the accuracy of the neighborhood information rather well. Compared to more conventional approaches, the reliability of neighborhood data is superior.