Resilience is a fundamental attribute of a system to resist and recover from disruptive events . This concept provides a proactive thought for accident prevention . In this work, the system resilience of CPI was quantified by a time-dependent function with respect to the change of system performance. From the perspective of system resilience, the mutually amplified phenomena between hazards are caused by the reduction of the ability of CPI to resist, absorb and recover from disruptive events . The system resilience of CPI can provide a precise spatiotemporal threshold for the inclusive multi-hazard coupling scenarios of concern. This provides strong support for the construction of the accident prevention system in CPI. A resilient system could adjust prior or after the disturbances to resist and recover quickly in case of multi-hazard coupling scenarios .