Collaborative sensing method based on multi-sensor information fusion

Abstract

The invention discloses a collaborative sensing method based on multi-sensor information fusion, which comprises the following steps: 1, simulating a signal, establishing a signal model, and transmitting the signal to each node at the same time; 2, classifying and identifying the signal by each sensor node, classifying the signal, and transmitting the classified signal to different processors; and 3, calculating the credibility of the nodes, and providing cooperative control and decision in a complex manufacturing environment. According to the invention, by setting self-adaptive perception oriented to an open environment, a hierarchical network structure with strong adaptability, a machine learning strategy capable of continuously learning and a general efficiency measurement method are developed for solving the problem that the performance of an intelligent system is sharply reduced easily due to application scene change, the difficulties of unsupervised learning, experience memory utilization, implicit knowledge discovery and guidance, attention selection and the like are broken through, and a new machine learning method based on cross-media human common knowledge formation is researched.

Description

technical field [0001] The invention belongs to the technical field of artificial intelligence, and in particular relates to a collaborative sensing method based on multi-sensor information fusion. Background technique [0002] Artificial intelligence, also known as omniscience and machine intelligence, refers to the intelligence shown by machines made by humans. Generally artificial intelligence refers to the technology of presenting human intelligence through ordinary computer programs. The term also refers to the study of whether and how such an intelligent system can be realized. The definition of artificial intelligence in general textbooks is "the research and design of intelligent agents". Intelligent agents refer to a system that can observe the surrounding environment and take actions to achieve goals. John McCarthy defined it in 1955 as "the science and engineering of making intelligent machines". Andreas Kaplan and Michael Heinlein define artificial intelligenc...

AI Technical Summary

Problems solved by technology

[0006] The technical problem to be solved by the present invention is to overcome the existing defects and provide a collaborative sensing method based on multi-sensor information fusion to solve the problem that the change of the application scene facing the open environment in the above background technology will easily lead to a sharp decline in the performance of the intelligent system

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