There are many heterogeneous temporal data in the electronic archives generated by laser scanning. These data have great mining value ,so it is necessary to detect them. Under this background ,a method of detecting heterogeneous temporal data of electronic archives based on laser scanning is studied. This method uses laser scanning to obtain data and generate electronic archives. For the data in electronic archives ,missing data filling and outlier data processing are implemented. The recursion rate ,Shannon entropy and skewness of electronic archive data are extrac- ted. Combined with the random forest algorithm ,the input recursion rate ,Shannon entropy and skewness are three characteristics to obtain the heterogeneous temporal data type of electronic archives. The results show that the displace- ment of 1 and 3 slope projects is slight; the displacement of two slope works is serious ; the displacement of 4 slope works is in a safe state ; the displacement of 5 slope works is relatively serious. The Kappa coefficient of the studied method reaches a relative maximum ,indicating that the detection ability of the studied method is higher.