The present application relates to the technical field of
artificial intelligence and
black light experiment collaborative control, in particular to a
black light experiment collaborative
control system and method based on multi-agent collaborative decision. It includes multi-agent collaborative decision module, digital twin and protocol conversion module,
black light experiment execution module, human-computer interaction
quality control module and result analysis and skill
sedimentation module. Through the cooperation of the five modules of multi-agent collaborative decision, digital twin and protocol conversion, multi-
actuator arrangement, human-computer interaction
quality control, result analysis and skill
sedimentation, end-to-end full
closed loop from
natural language scientific
research task input to 7*24 hours unattended experiment execution, full-dimensional
data quality control to structured skill
sedimentation reuse is realized. The pain points of high dependence on traditional scientific research manpower, poor experimental reproducibility and difficult knowledge inheritance are solved, and the scientific
research efficiency and achievement quality are greatly improved.