Research On Modular Design Of General Bridge Crane Based On Basketball League Match Algorithm

General double beam bridge crane is a kind of special equipment used for lifting and transporting goods,which has wide application scenarios and great market demand.As the main bearing frame of general bridge crane,the bridge frame has the characteristics of high customization,strong structural complexity,variable load characteristics and so on.Due to the general parameterized or modular design method,it is difficult to meet the current mass customization production mode,the selection and matching of various functional structural modules of the crane and the parametry-driven integration requirements,so how to achieve more green and efficient mass customization of the metal structure of the universal bridge crane bridge is the key to the transformation of crane manufacturing enterprises to digital intelligent manufacturing.To solve the above problems,the main research work carried out in this paper is as follows:1)Improvement of intelligent optimization algorithm.In order to obtain the design parameters of bridge structure more efficiently,an optimization algorithm that Multi-strategy Fusion Improved Adaptive Basketball League Match Algorithm(MSFIABLMA)was proposed.Through the theoretical analysis and performance verification of the original Basketball League Match Algorithm(BLMA),the multi-strategy fusion improvement is carried out.The improved strategies of chaos initialization,elite reverse learning and Gaussian mutation are used to enhance the diversity of iterative search and improve the global search ability of BLMA algorithm,so as to improve the optimization accuracy of BLMA algorithm.Moreover,an adaptive mechanism of iterative updating is added to improve the algorithm’s early convergence speed and enhance the stability of iterative operation.Finally,numerical examples and engineering applications are used to verify the effectiveness of the multi-strategy fusion and the superiority and stability of MSFIABLMA algorithm.2)Analysis of bearing capacity of bridge.The limit state method is used to analyze the bearing capacity of the bridge structure of the general bridge crane,which provides theoretical support for the construction of the subsequent optimization model of the bridge structure,and the MSFIABLMA algorithm is used to optimize the structure of the existing QD20t-43 m general double beam bridge crane in a bridge crane production plant.The results show that the weight of the bridge can be greatly reduced under the condition of satisfying the performance constraints.3)Selection and matching design of bridge frame.Facing the individual design requirements of users,based on the concept of modular design and the combination of intelligent optimization algorithm and adaptable product design technology.The modular optimal matching design of the bridge structure is carried out to realize the lightweight of the main part of the general bridge crane.Finally,the matching optimization results are compared with a practical design case of universal double-beam bridge crane in a crane manufacturing enterprise,which proves the effectiveness of the optimal matching and provides an implementation scheme for the personalized and rapid design of metal structure of universal bridge crane.4)Construction of the design platform.In order to realize the visual and dynamic presentation of the adaptive design process of universal bridge crane,the platform construction process is formulated.The object oriented Windows form interface is built by Visual Studio programming software,and the functional modules of the platform are written based on C# programming language.With the help of SQL Server data management system and SolidWorks 3D modeling software,the adaptive design of general purpose bridge crane is realized based on the new optimization algorithm of basketball league.