The invention provides a self-adaptive decision execution method for a
rule engine agent of
the Internet of Things and related equipment, and belongs to the field of
the Internet of Things, and the method comprises the steps: determining real-
time information containing multi-
source data; based on a
context awareness model, performing context fusion awareness on the real-
time information to obtain
context awareness information; determining a scene demand mode based on the scene
awareness information; determining a target rule set in a rule base according to the scene demand mode; based on the target rule set and a decision
algorithm, determining a target decision and executing a corresponding action; and receiving an execution feedback result, judging whether the rule base or the decision
algorithm needs to be optimized according to the execution feedback result, and if the rule base or the decision
algorithm needs to be optimized, determining an optimization object and optimizing the optimization object according to the execution feedback result. By applying the method provided by the invention, scene fusion
perception and scene demand mode identification can be carried out through the scene
perception model in various environments, so that
rule matching and
decision making are completed, and the environment adaptability and response capability of a platform are improved.