Effectiveness Evaluation of Underwater Heterogeneous Platforms Based on ADC Model

Abstract

Equipment clusters are gradually emerging as a key way to improve the efficiency of underwater tasks. Traditional availability dependability capacity(ADC) models make it difficult to evaluate the collaborative ability of an underwater heterogeneous platform composed of multi-type equipment. The reliability, endurance, and communication performance indicators with time variables were selected, and a comprehensive model of the tree structure was established, which could quantify the collaborative factors numerically and objectively reflect the changes in collaborative ability during the platform task process. Based on this, the capability matrix was continuously processed, and the equipment individual was taken as a subsystem. Environmental impact factors were introduced to reflect the influence of the surrounding environment on the equipment performance. An improved ADC model was established for system effectiveness evaluation. By taking the underwater heterogeneous platform composed of autonomous undersea vehicles and communication nodes as an example, the equipment capability and platform effectiveness within the task cycle were evaluated. The research results indicate that this method can be well combined with multiple collaborative factors for effectiveness evaluation, which is feasible and effective and can provide a reference for the effectiveness evaluation of collaborative operation tasks of multi-type equipment.

Keywords

• underwater heterogeneous platforms
• autonomous undersea vehicle
• effectiveness evaluation
• adc model
• capability matrix