In order to realize the intelligent control and self-adaptation of product installation, an intelligent detection and correction system based on optical fiber sensing network is proposed. The optical fiber sensing network is used to reconstruct the stress field distribution of the tooling, calculate the functional relationship between the wavelength offset and the position offset, and quantify the corresponding relationship between the sensing network and the position correction data. Finally, it provides intelligent detection and correction parameters for the automatic installation system. The experiment uses a common plug-in installation structure to test and analyze the stress change in the range of 0~200 N. The experiment results show that the system has an obvious response law to the position deviation caused by the stress change. The relative error between the inversion accuracy and the standard accuracy is better than 10.0%. It has good stability.