Co-firing biomass in coal-fired power units can reduce carbon emissions and promote the realization of the “dual carbon” goal

but it is easy to cause the operation risk of relative equipment in air/gas system. In order to ensure the stable operation of the coupled unit

this paper puts forward an operation risk situational awareness model based on Transformer and information fusion by virtue of data density. Firstly

massive historical data are processed to realize typical operation status identification of the mixer based on data density. Secondly

the operation features of the coupled unit are predicted by using the Transfomer. Thirdly

the information of the nearest neighbors is integrated to perceive the running situation of risks. Finally

an example is given with the actual data. The results show that

there are two typical operating states: low load state and high load state. The Transformer model proposed in this paper is superior to other existing models in predicting the future features. The information of the nearest neighbors can effectively perceive the operation risk of the coupled unit.