Research And Implementation Of Optimal Allocation Of DIMA Avionics System Resources

With the rapid development of computer and integrated electronic technology,the aircraft has put forward higher requirements on the performance and cost of avionics systems.In this context,the Distributed Integrated Modular Avionics(DIMA)has been established as the Next Generation Avionics System,which integrates the advantage of Federal Avionics System and Integrated Modular Avionics System(IMA).In the DIMA system,the hardware resources which are composed of the computing resources,IO,storage,network,power and so on,are encapsulated into six types of standardized General Processing Module.The General Processing Modules are installed on the installation slot of the cabinet located in different positions of the aircraft,which stage is called the hardware mapping.All general-purpose processor modules are interconnected by a communication network on the plane to form a distributed architecture hardware resource layer.During the operation of avionics system,various types of general processing modules are integrated to accomplish specific tasks according in need.Different from the traditional avionics system,DIMA application software is not cured on a specific processor,but in a certain particle size flight function is divided into a plurality of software modules(sub tasks),according to the blue print system is loaded into the specified general processing module,which stage is called the software mapping.In this paper,the configuration of the DIMA hardware and software resource in the system is studied,and the resource allocation of the DIMA system can be divided into two stages: the mapping of the hardware module and the mapping of the software module.First of all,based on the full research on the DIMA hardware mapping,in order to optimize the minimum cost and the highest efficiency of communication,establishes the hardware mapping mathematical model constrained single objective optimization.A multi population genetic algorithm with repair factor is used to solve the mathematical model of the hardware mapping.The experimental results show that the mathematical method is effective and feasibleSecondly,based on the full research on the DIMA mapping software,the two optimization objectives of minimizing the distance between software modules and peripherals and maximizing the degree of aggregation of software modules are established,which have different priority,and using the greedy algorithm and exhaustive algorithm to solve the two optimization objectives,complete software module mapping.Finally,based on the analysis of DIMA print system,analyze the demand of DIMA Resource Allocation Optimization System,and develop the system using the QT which is a cross-platform application development framework.Given hardware resources and software resource parameters,the system can optimize the configuration of the hardware module and the software module,and from the two aspects of the cooling capacity of Cabinet and the maximum capacity of hardware module resource to guide the design of the hardware module and software module.After verification,hardware module and software module mapping scheme constitutes the DIMA Blue Print System with application value.