A complex system component importance evaluation processing method based on virtual gravity

Abstract

The invention discloses a complex system component importance evaluation processing method based on virtual gravity. The method includes the following steps: the actual topology of a complex system isabstracted into a complex network model, based on the complex network model, the node proximity model of the components of complex system is established, the virtual gravity model is introduced and the importance contribution between indirectly connected nodes is described, the contribution of node proximity and node importance are taken into consideration, an evaluation model of component importance in complex system is constructed to verify the effectiveness of the evaluation model, and finally, the key components, important components and general components in the system are determined according to the value of the importance. The invention comprehensively considers node proximity and node importance contribution to realize accurate information transmission efficiency of a complex system, evaluates component importance, effectively identifies key components, important components and general components in the complex system and carries out different types of maintenance processing according to the key components, so as to ensure the operation quality of the complex system.

Description

technical field [0001] The invention belongs to the field of evaluation of complex system components, and in particular relates to a method for evaluating and processing the importance of complex system components based on virtual gravity. Background technique [0002] With the continuous advancement of science and technology, complex systems such as power systems, transportation network systems, Internet systems, financial systems, and spacecraft systems are more and more widely used. However, it is unavoidable for a complex system to fail during operation, and even a small component failure may cause the entire system to fail to work properly. For this type of complex system, quantitatively analyzing the importance of all components in the complex system, and then digging out the core components in the complex system, has certain engineering guiding significance for improving the reliability of the system, and can also be a key component of the complex system. And provide...

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Problems solved by technology

In fact, this method only considers the influence of node degree, node distance and directly connected nodes, and does not consider the influence of indirectly connected nodes.

However, for a complex system with multiple degrees of correlation, the higher the information transmission efficiency of the system, the faster the propagation speed of the fault information in the entire system network after a node fails, because the higher the network information transmission efficiency , there are many information transmission paths in the network, effective measures can be taken to delay the propagation of faults in the network, and the harm caused is less; the information transmission efficiency of this system is low, and a certain node fails after a failure, due to the network information transmission efficiency The lower the value, the fewer information transmission paths in the network, and the failure of key components will lead to poor connectivity in parts of the entire system network, making the average distance between nodes in the entire system network larger, and the efficiency of information transmission will decrease, resulting in greater harm. big

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