In interactive control systems for complex dynamic objects, the human operator must have a complete understanding of the state of the controlled objects. This is a huge amount of fast-changing data. At the same time, it is necessary to ensure the possibility of an adequate perception of the person of the information presented in order to take conscious and effective control actions in order to take measures in advance to prevent the occurrence of abnormal or emergency situations. The paper describes the methods and tools of a new class of representations - causal mnemonic schemes designed to display the interconnectedness of processes occurring in a controlled system, as well as a causal picture of observed events and interconnected reactions of subsystems to control actions, including the mapping of the dynamics of distribution of tension of nodes and assemblies.