Abstract: In order to effectively address eco-environmental challenges and achieve the "dual carbon" goals, China has implemented a series of environmental protection strategies. These strategies set stricter governance standards for key industries and propose new requirements for supervising industrial sources. The authors reviewed the current status of industrial air pollutant emissions in China and their impacts on ambient air quality. Additionally, they comprehensively evaluated the emission detection methods for current stationary source emissions and the corresponding supervision methods. The results indicated that the pollution situation had improved under the control of industrial sources. In the future, it was expected that the accuracy and timeliness of industrial source emissions monitoring would be further enhanced through the integration of multi-source data, thereby achieving more accurate and real-time supervision of industrial source emissions. With the development of information technology, the application of the Internet of Things and big data in industrial sources supervision is becoming increasingly widespread, which could compensate for the shortcomings in the precision and spatiotemporal resolution of current industrial sources supervision. Industrial electricity consumption data, which has broad coverage, strong real-time capabilities, and high data quality, could be used to design and develop electricity monitoring indicators. These indicators could serve as an auxiliary means for supervising industrial source emissions.