In order to solve the problem that the nonlinear industrial cyber-physical system suffers from double-sided false data injection attacks and actuator failures, a T-S fuzzy variable-proportional integral observer is designed on the basis of event triggering, and the stability control strategy is studied. A smooth adaptive event triggering mechanism is designed, and the trigger parameters are adaptively adjusted according to the output error to reduce unnecessary data transmission. After the T-S fuzzy model is used to linearize the nonlinear system, a new augmentation system is constructed, and a fuzzy variable-proportional integral observer is designed to estimate the system state, bilateral FDI attack and actuator failure. A fuzzy compensation feedback controller is designed to compensate for attacks and faults by using the estimation results of the observer. Integrating the theories of the Lyapunov-Krasovskii functional, linear convex combination, and improved affine Bessel-Legendre inequality, the observer matrix is designed, and the controller and event trigger matrix are co-designed. Taking the industrial four-capacity water tank as the simulation object, MATLAB simulation is used to verify that the proposed strategy can ensure the stable operation of the system when it is attacked and faulty, and the adaptive trigger mechanism can effectively reduce data transmission.