Collaborative sensing method based on multi-sensor information fusion

A multi-sensor, collaborative sensing technology, applied in the field of artificial intelligence, can solve problems such as the performance degradation of intelligent systems, and achieve the effect of avoiding decision-making risks and system out-of-control

Pending Publication Date: 2021-06-11
杭州翔毅科技有限公司
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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 sol...

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  • Collaborative sensing method based on multi-sensor information fusion

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Embodiment Construction

[0032] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0033] see figure 1 , the present invention provides a technical solution: a collaborative sensing method based on multi-sensor information fusion, comprising the following steps:

[0034] Step 1. Simulate the signal, establish a signal model, and transmit the signal to each node at the same time;

[0035] Step 2, each sensor node classifies and identifies the signal, classifies the signal, and transmits the classified signal to different processors;

[0036...

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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...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N5/04G06N20/00
CPCG06N5/04G06N20/00G06F2218/12G06F18/24155
Inventor 彭伟群曹小伍曹得明邵草品雷铭轩
Owner 杭州翔毅科技有限公司
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