A multi-level risk assessment method for unmanned aerial vehicle systems under a probabilistic coupling relationship

A risk assessment and UAV technology, applied in the field of UAV, can solve the problems of small amount of UAV flight data, difficulty in UAV system-wide risk assessment, lack of coupling relationship, etc.

Active Publication Date: 2022-08-02
BEIHANG UNIV
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AI Technical Summary

Problems solved by technology

These assessment methods lack the consideration of the coupling relationship between subsystems and components in the UAV system, and it is difficult to complete the risk assessment of the UAV system.
Moreover, due to the relatively small amount of UAV flight data, how to complete the system risk assessment on the basis of limited data has become a difficult point

Method used

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  • A multi-level risk assessment method for unmanned aerial vehicle systems under a probabilistic coupling relationship
  • A multi-level risk assessment method for unmanned aerial vehicle systems under a probabilistic coupling relationship
  • A multi-level risk assessment method for unmanned aerial vehicle systems under a probabilistic coupling relationship

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Embodiment Construction

[0050] The embodiments of the present invention will be described in detail below with reference to the accompanying drawings, and it should be understood that the embodiments described below are only used to illustrate and explain the present invention, and are not intended to limit the present invention.

[0051] UAV is a complex system integrating mechanical, electrical, hydraulic, etc. It is characterized by a large number of subsystems, and there is a strong coupling between them, with a hierarchical structure. As one of the main methods of product reliability and safety analysis, fault tree can be analyzed from top to bottom strictly according to the hierarchical fault causal logic. The traditional fault tree analysis method does not consider the ambiguity of event occurrence probability and cannot effectively solve the problem of insufficient UAV data. Therefore, the present invention introduces a fuzzy algorithm, and describes the event risk probability of each level o...

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Abstract

The embodiment of the invention discloses a multi-level risk assessment method for an unmanned aerial vehicle system under a probabilistic coupling relationship, which relates to the field of unmanned aerial vehicles. Human operation, the influencing factors of the environment and the logical relationship between the influencing factors, construct the fuzzy fault tree of the UAV; defuzzify the expert scores of the risk of each influencing factor in the fuzzy fault tree respectively processing to obtain the risk probability of each influencing factor of the UAV; converting the fuzzy fault tree into a Bayesian network model; determining the prior probability of the Bayesian network model according to the risk probability of each influencing factor, and according to The prior probability of the Bayesian network model determines the UAV flight risk probability.

Description

technical field [0001] The invention relates to the field of unmanned aerial vehicles, in particular to a multi-level risk assessment method for an unmanned aerial vehicle system under a probabilistic coupling relationship. Background technique [0002] Unmanned aerial vehicles (UAVs) are "unmanned aerial vehicles" in the whole process, which use telemetry and remote control equipment and automatic control devices to control unmanned aircraft. In recent years, the drone industry has developed rapidly and is widely used in personal consumption, agriculture, forestry and plant protection, geographic surveying and mapping, environmental monitoring, film and television aerial photography and other fields. With the increase of the flight frequency, the flight accident rate of drones is also increasing year by year, which brings huge hidden dangers to public safety. Therefore, how to ensure the safety of UAVs during flight has become a problem that needs to be studied and solved....

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/06G06N7/00
CPCG06Q10/0635G06N7/01
Inventor 陶来发马永喆章文晋吕琛孙璐璐
Owner BEIHANG UNIV
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