In power scenarios such as those containg substations and power plants, it is particularly important to ensure the safety of electric lines and their equipment. To facilitate dispatch and command to better deal with electric power emergencies, it is necessary to know the accurate location information of terminals, so as to obtain real-time data about the status of surrounding electric power facilities or equipment. Based on this, the paper puts forward a Beidou + 5G fusion positioning algorithm based on intelligent reflecting surface (IRS). Based on the location monitoring with Beidou positioning, the IRS-aided 5G network is used for information transmission to decrease delay. Problems such as signal attenuation caused by the direct path and the insufficient number of base stations are solved based on strengthening the signal power of the direct path. Then in the phase of capturing the Beidou satellite, an improved flock optimization (CSO) algorithm is proposed to search the whole week quickly and accurately, so as to obtain accurate differential signal. For transmitting differential information by base station and IRS, an improved precise position estimation algorithm based on convex optimization is proposed. Finally, simulation results show that the proposed method can achieve accurate target location. This work is supported by the National Natural Science Foundation of China (No. 61971190).