Abstract: To effectively improve the monitoring accuracy of contact temperature, an online monitoring study on the contact temperature of the outlet circuit breaker for hydroelectric power station turbine generators was proposed. Combining sensor technology, the contact temperature data of the outlet circuit breaker for turbine generators was collected and processed for transmission and reconstruction. An improved adaptive weighted algorithm was employed to fuse the temperature data by determining the optimal weighting coefficients for each sensor node during data fusion, thereby generating online monitoring results for the contact temperature of the outlet circuit breaker of hydroelectric power station turbine generators. Experimental results demonstrate that the online monitoring technology for the contact temperature of the outlet circuit breaker of hydroelectric power station turbine generators can accurately monitor temperature variations under different operating conditions of the generator.