The indoor environment quality of office is closely related with the work efficiency and the health of the staff. It's important to take effective control and optimization measures to ensure the comfort, low energy consumption and health requirements of the office. The relationship between the indoor environment parameters and control variables is studied by using an office as a case. And the bilinear model of the indoor environment quality is established. The results showed that the model output can better fit the actual situation by using the experimental data verification. Meanwhile, based on the predictive control, using the working condition of the summer simulation experiments, it shows the method has a smaller steady-state error and small super tonality, and is more energy efficient than the traditional control mode.