Machine heuristic learning method, system and device for operation behavior record management

A machine heuristic learning method for operation behavior record management, comprising:

• establishing a safety range of operation data;
• setting a constraint condition and a heuristic end condition, and setting an emergency plan for the constraint condition;
• performing a heuristic process:
• acquiring current basic working condition data, operation data and an emergency plan, wherein the operation data comprises at least one operation data dimension, and in case of no emergency plan, only the operation data is acquired;
• selecting at least one operation data dimension from the operation data by means of a random algorithm, randomly generating a value within a safety range of the selected operation data dimension to form new operation data of the selected operation data dimension, automatically executing the new operation data by a device, and entering a heuristic working state;
• checking the constraint condition;
• if the constraint condition is not met, starting the emergency plan if any;
• performing, after a working condition is stable, self-learning on the basic working data, the new operation data and evaluation data generated therefrom if the heuristic working state is not changed;
• and
• if the heuristic end condition is not triggered, performing a next heuristic process;
• or, if the heuristic end condition is triggered, ending the heuristic self-learning state.