基于约束熵的复杂系统重要节点崩溃控制研究

为有效控制复杂系统崩溃,提出一种基于约束熵的复杂系统重要节点崩溃控制方法。通过概述现有事故致因理论及模型,建立分析复杂系统安全事故致因的"认知-约束"模型。针对复杂系统节点众多,关联复杂的本质,指出为预防安全事故,必须在强化安全认知能力的基础上对重要节点进行约束控制。在提取节点重要度评估参数后,设计一种改进的复杂系统节点重要度评估算法。最后,引入约束熵概念,构建抑制复杂系统重要节点崩溃的约束熵度量模型。研究结果表明,存在可量化的用于控制复杂系统崩溃的手段;预防安全事故的关键是将适量的约束熵"引入"重要节点。

Complex System Important Node Collapse Control Based on Constraint Entropy

In order to effectively control the collapse of complex system can be controlled effectively,a constraint entropy-based method for controlling complex system important node collapse was proposed.After summarizing the existing theories and models about accident causation,a cognition-constraint model was built for analyzing the safety accident causation of complex system.For numerous nodes and associations exist in complex system,it was pointed out that in order to prevent safety accident,importance nodes in the complex system must be constrained and controlled on the basis of increasing safety cognition ability.After the evaluation parameters of node importance were extracted,designed an improved complex system node important evaluation algorithm.Finally,the concept of constraint entropy was introduced.A constraint entropy measurement model was built.Research results show that there is a quantifiable means for controlling complex system collapse.The key to preventing safety accident is "introducing"a right amount of constraint entropy into the important node.