With the increasing complexity of emergencies related to the community correction object, the single fixed plan from the existing emergency plan database is unable to develop intelligent emergency response plans for different abnormal situations through dynamic data injection, which can hardly meet the demands of dynamic emergency generation. To improve the supervision quality and the informational management level of community correction object, we adopt the joint mining technology of multi-source heterogeneous data, in view of multi-source heterogeneity, complex association and dynamic evolution of abnormal situation data. On this basis, we build our judicial Knowledge Graph (KGjudicial) and crime Event Logic Graph (ELGcrime), providing data basis and auxiliary decision support for the dynamic generation of intelligent emergency plans. In addition, considering the actual business requirements for cross-regional multi-sectoral emergency coordination, we explore the multi-department information alignment method and the dynamic injection mechanism of emergency response plans. We propose the fusion technology of multiple-department emergency response plans based on our KGjudicial and ELGcrime to realize the cross-regional joint law enforcement of judicial administration departments and improve the supervision quality, while saving the management cost of community correction object. We provide technical support for the emergency response of multiple departments of judicial administration, contributing to the social security and stability.