The bus link of optical fiber communication network is easily limited by bandwidth in the application process ,resulting in poor detection accuracy of packet loss rate of optical fiber communication network link ,low infer- ence efficiency ,and unable to meet user data transmission requirements. Therefore ,a packet loss rate inference meth- od for optical fiber communication network bus link in the Internet of Things environment is proposed. According to the optical fiber communication network routing matrix ,obtain the communication status of the optical fiber network under the Internet of Things environment ,detect the weak links in the data transmission of the network bus link according to the time sequence analysis strategy ,analyze the correlation of variables between different time periods ,establish a line- ar regression model ,calculate the predicted value of the next time period ,and obtain the bus link transmission status. Calculate the spatio-temporal correlation of each line ,combine with the background traffic ,and use the least square method to deduce the link packet loss rate. The experimental results show that the fault identification rate of the pro- posed method is higher than 95% ,the error factor and relative error are below 0. 2 and 0. 02 ,and the inference time is less than 2 ms ,which provides a reference for data transmission in optical fiber communication network.