关键词: 射流轨迹, 导风板角度, 送风风速, Abramovich射流理论, 贝叶斯马尔可夫链蒙特卡洛方法

Abstract: Current researches on the cold jet trajectory of wall-mounted air conditioners primarily focus on qualitative flow field analysis, lacking rapid prediction models that can be embedded into intelligent control algorithms. Based on CFD numerical simulation, the influence of guide vane angle and supply air velocity on the cold jet trajectory of split wall-mounted air conditioners was analyzed. Using Abramovich jet theory and the Bayesian Markov Chain Monte Carlo (MCMC) method, a single-operation-specific dedicated jet trajectory centerline model was constructed and its accuracy was evaluated. The results indicated that both supply air velocity and guide vane angle have a significant interactive effect on the jet trajectory. The single-operation model achieves high fitting accuracy but lacks universality across different operating conditions. To address this limitation, a universal full-operation jet trajectory prediction model was further established via parametric fitting. The universal model enables accurate prediction under arbitrary combinations of vane angles and air velocities, with the prediction error (RMSE) of the universal model is less than 0.1 m. The development methodology of this generic model can provide theoretical support for the automatic air direction regulation and optimal design of guide vane structures in intelligent air conditioners.

Key words: Jet trajectory, Air deflector angle, Supply air velocity, Abramovich jet theory, Bayesian Markov Chain Monte Carlo method