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The resilience evaluation method of C4ISR system based on Bayesian network

A technology of Bayesian network and resilience, which is applied in the field of C4ISR system resilience evaluation based on Bayesian network, can solve problems such as the lack of a specific implementation method, and achieve the effect of improving anti-interference ability and good robustness

Inactive Publication Date: 2019-02-05
ARMY ENG UNIV OF PLA +1
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Problems solved by technology

Paper "Reliability Analysis and Evaluation in the Evolution of C4ISR System" (Zhang Tingting, Wang Zhixue. Reliability Analysis and Evaluation in the Evolution of C4ISR System [J]. Journal of Command and Control, 2015, 1(4): 439-444.) From the ability The evaluation index system of the system was compared in terms of three aspects, process and quality, and the hierarchical structure of the evaluation system index was summarized, that is, the combat effectiveness index, the combat mission effectiveness index, the system capability index and the system performance index from top to bottom. The article only gives macroscopic guidance, without a specific implementation method

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  • The resilience evaluation method of C4ISR system based on Bayesian network
  • The resilience evaluation method of C4ISR system based on Bayesian network
  • The resilience evaluation method of C4ISR system based on Bayesian network

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[0035] In order to verify the effectiveness of the present invention, an example of a guidance system is analyzed. The guidance control system is a collection of software and hardware with guidance, control, monitoring and management functions in a combat simulation system, and is mainly used to assist guidance personnel. Quickly formulate drill planning, deploy simulation resources, design drill confrontation process, control drill process, control system operation and manage and analyze simulation data to ensure that the simulation runs in an orderly, effective, safe and controllable manner as expected. Composed of interdependent systems, each member system does not have the ability to guide the system, which is a typical C 4 ISR system. Tuning is directing and conditioning, and it is an intermediary to realize the purpose of the exercise. From a technical point of view, the system includes network systems, databases, sensors, power systems, integrated command systems, wire...

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Abstract

The invention discloses a resilience evaluation method of a C4ISR system based on a Bayesian network. The system is divided into three layers according to a C4ISR system capability aggregation process, namely, a system function layer, a domain capability layer and a system capability layer. According to the historical data, the failure probability of each member system in the system function layer, the conditional probability of each functional requirement in the domain capability layer, and the conditional probability of the system capability layer to fulfill the corresponding mission task are determined, and the resilience of a member system when the system fails is calculated. According to the resilience of the system when a member system fails, the capability ranges of the key member system and the expected system are determined to guide the improvement of the anti-interference ability of the system. The invention uses Bayesian network to model C4ISR system, The resilience of C4ISRsystem can be deduced by Bayesian probabilistic reasoning, and the key member system can be identified by resilience, which is helpful to improve the anti-jamming ability of the system and to developa robust system.

Description

technical field [0001] The invention relates to a C4ISR system evaluation technology, in particular to a Bayesian network-based C4ISR system resilience evaluation method. Background technique [0002] The command information system (C4ISR) is a complex information system composed of a group of large-scale, concurrent and distributed systems. It is a typical system in which the member systems are both independent and interdependent to form the system. . The reliability of the C4ISR system depends on the reliability of the member systems, and the dependencies between member systems also affect the propagation of system failure rates. In response to this situation, it is necessary to fully evaluate the system's capacity composition during the development phase of the system, analyze the system's adaptability when a member system fails, and at the same time determine the type of system capacity reduction, and find out the factors that affect the system's resilience, so that the...

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/26G06N5/04G06N7/00
CPCG06N5/04G06Q10/0639G06Q50/26G06N7/01
Inventor 张婷婷张奎昌牛彦杰董会
Owner ARMY ENG UNIV OF PLA
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