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Test method for autonomous unmanned system

A test method and index technology, which is applied in the field of autonomous unmanned system testing, can solve problems such as artificial intelligence system testing without unified analysis and testing methods, and achieve a highly scalable effect

Pending Publication Date: 2022-05-13
BEIJING AEROSPACE MEASUREMENT & CONTROL TECH
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Problems solved by technology

[0004] Since each specific artificial intelligence system often only has one or several of the above-mentioned functions, there is no unified analysis and testing method to test different artificial intelligence systems

Method used

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  • Test method for autonomous unmanned system

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Embodiment 1

[0028] (1) For an autonomous unmanned system, establish an evaluation model scale and construct a three-level index factor set. There are n types of first-level evaluation indicators, and the factor set U formed by them is as follows:

[0029] U={index 1, index 2, index 3,..., index n}={u1,u2,u3,...,un}

[0030] Similarly, the first-level indicators of the k-th category in the above-mentioned indicators can be divided into the second-level evaluation indicators of the m category, and the set of factors is as follows:

[0031] Uk={index1, index2, index3,...,indexm}={uk1,uk2,uk3,...,ukm}

[0032] By analogy, among the above indicators, the second-level indicators of the qth category can be divided into the third-level evaluation indicators of the l category, and its constituent factors are as follows:

[0033] Ukq={index 1, index 2, index 3,..., index l}={ukq1, ukq2, ukq3,..., ukql}

[0034] As mentioned above, the indicators are decomposed level by level until the lowest lev...

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Abstract

The invention provides a test method for an autonomous unmanned system, which constructs an intelligent evaluation index scale and a calculation method by referring to an analysis strategy of a human intelligence quotient test. Comprising the following steps: constructing a hierarchical evaluation model scale according to intelligent characteristics of the autonomous unmanned system, and establishing a hierarchical index factor set U; scoring each attribute in the index factor set U, and determining a decision ability evaluation set V; combining each attribute of the index factor set U with the corresponding decision ability evaluation set V, and constructing an evaluation membership matrix R; performing relative weight evaluation on each attribute in the index factor set U, and finally obtaining a weight vector W of the grading index by constructing a comparison judgment matrix A; the index weight vector W and the grading index evaluation membership matrix R are multiplied, a fuzzy decision set B is finally obtained, and all elements of the fuzzy decision set B are scores of all index factors of the autonomous unmanned system.

Description

technical field [0001] The invention belongs to the technical field of unmanned system testing, and in particular relates to a testing method for an autonomous unmanned system. Background technique [0002] Autonomous unmanned system is a highly intelligent closed-loop feedback control system with the ability of cognition, analysis, decision-making and action. With the rapid development of artificial intelligence technology, large-scale unmanned systems with typical characteristics of autonomy, clustering, and manned / unmanned collaboration will become an important development direction of future technology. At present, the autonomous unmanned system is composed of two parts, one is an unmanned platform with intelligent processing and decision-making capabilities, and the other is an auxiliary part with perception, interaction, and communication capabilities. Autonomous unmanned systems have the ability to perceive, interact and learn, and make independent reasoning and deci...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F11/34G06F17/16
CPCG06F11/3409G06F17/16
Inventor 李茂袁立曹宇蔄元臣
Owner BEIJING AEROSPACE MEASUREMENT & CONTROL TECH
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