KEYWORDS: Design and modelling, Vibration, Systems modeling, Signal detection, Modeling, Analytical research, Logic, Digital signal processing, Data modeling
Aiming at the problems of poor design data traceability, low model reusability, and lack of overall system design concept during the development of the traditional Electric Multiple Unit (EMU) bogie instability detection system, we are applying the Model-Based Systems Engineering (MBSE) to the EMU bogie design of the instability detection system. Based on the Arcadia modeling method, combined with the function definition analysis method, the structure of the EMU bogie instability detection system is designed: the instability detection system is established through four levels of operational analysis, system analysis, logical architecture analysis, and physical architecture analysis. The architecture model from "black box" to "white box"; the function is defined and analyzed through three links: identification function, expression function, and evaluation function. The research shows that in the process of designing the structure of the bogie instability detection system for the EMU, the model established by the model-based systems engineering method is traceable and reusable, and the overall design of the system can be carried out in the early stage of creation, and the EMU can be improved. The research and development of the bogie have a favorable driving effect.
As a typical complex system, the requirements of stakeholders such as market, customers and operating conditions have an important impact on the design EMUs. At present, the EMU manufacturers still adopt the idea of traditional system engineering to decompose the requirements, resulting in the lack of traceable links between requirements and design, which seriously prolongs the product development cycle and increases the development cost. Under this background, this paper introduces the idea of model-based systems engineering (MBSE) into the EMU requirements management. The method is vertically divided into four aspects: the L1 layer is customer requirements, the L2 layer is product requirements, the L3 layer is system requirements, and the L4 layer is component requirements; the horizontal activities are divided into five steps: requirements capture, requirements analysis, requirements confirmation, requirements allocation, and requirements verification. It is applied to the requirements management of EMUs air conditioning system, and the results show that the application of MBSE to EMUs requirements management can establish the traceability relationship between requirements and design, ensure the accuracy of requirements, improve the efficiency of requirements management, and realize the transformation of EMU requirements from “document based” to “model-based”.
KEYWORDS: 3D modeling, Control systems, Computer simulations, Logic, Temperature metrology, Data modeling, Performance modeling, Solar radiation, HVAC controls, Solar radiation models
Using the 1D/3D co-simulation method, aiming at the proposed heating scheme of the air conditioning system of the EMU, a 1D model of the heating system and control logic was built in the 1D simulation software Amesim. In the 3D simulation software STAR-CCM+, the 3D model of the ventilation system and the passenger room was built. The heating performance of the scheme and the temperature uniformity of the passenger room was verified through co-simulation. The results show that, compared with 1D simulation or 3D simulation alone, 1D/3D co-simulation integrates the previous independent models and can take into account the parameter performance and structural characteristics of the simulation object. It is more intuitive to observe the transient changes of each part of the system during the simulation process to realize the control of each part of the heating scheme, discover design omissions in advance, and improve the design efficiency, which is of positive significance.
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