With the continuous speed increase of high-speed trains, higher performance requirements are put forward for the braking technology and braking device. In order to improve productivity and overall competitiveness, manufacturing companies are actively researching new manufacturing technologies and production methods, and shop floor scheduling is one of the core components of this problem. This paper mainly studies the high-speed train composite workshop planning and scheduling optimization method. This experiment adopts B/S-based architecture mode. The prototype system is developed with Microsoft’s integrated development platform Visual Studio 2013, and Microsoft’s SQL Server 2008 is used as the background database management system. The experiment mainly uses the white box test method; the test content mainly includes module interface test, module local data structure test, and module boundary test. The interface parameters of each module are checked, and the boundary values of some functions are also analyzed and tested. According to the results, the planning management personnel revise the priority order again until all the molds meet the requirements of delivery and constraints. If the scheduled results do not meet the requirements, the methods such as those compressing the lead time, those urging the casting to be in place in advance, single process outsourcing, and overtime shall be considered. In this paper, a layered coding strategy is adopted. The first layer of coding represents the batch processing sequence. The second layer of coding determines to which process the corresponding batch belongs to. Each layer of coding is divided into different machine segments to represent the batch processing sequence on different machines. When the production process needs to switch orders, it can know which equipment parameters need to be adjusted in advance, which can effectively avoid the wrong operation caused by temporary adjustment of production parameters, reduce the order switching time, and improve the utilization rate of the production line. The data show that, compared with the artificial experience method and the priority rule method, the order production cycle after genetic optimization is reduced by 7.34% and 8.98%, respectively. The results show that the workshop scheduling optimization can help enterprises save stamping scheduling time, reduce production costs, and improve the rationality of scheduling.

China is a large agricultural country. With the development of industrial production, mechanized harvesting has become an inevitable development trend of agricultural material harvesting. In this paper, based on the latest technology of polycrystalline ferroelectric composite materials in the design of the shovel frame of the harvester’s vibrating excavating shovel, the relevant theories of the polycrystalline ferroelectric composite material and the shovel frame of the harvester’s vibrating excavating shovel are based on the literature. After understanding, the shovel frame structure of the vibrating excavating shovel of the harvester was designed, and the latest technology of polycrystalline ferroelectric composite material was introduced in the design of the shovel frame of the vibrating excavating shovel of the harvester to make the vibration system have better performance. The designed shovel frame structure is tested, and the test results show that the horizontal output force received by the shovel designed in this paper increases with the increase of speed and is minimized at 0.26 m/s. The vertical output force decreases first and then increases with the increase of speed. It is the smallest when the running speed is 0.39 m/s. The horizontal working resistance is always greater than the vertical working resistance, and it can be seen that the design of the shovel frame structure can be realized in actual work.

Vehicle mechanical fault diagnosis is of great significance to ensure the safe and stable operation of vehicle mechanical equipment. The method of vehicle mechanical fault feature extraction based on independent component analysis is studied. Firstly, multi-domain features such as time-domain features, frequency domain features, and EEMD energy features of vibration signals are extracted, and a multi-objective optimization function containing the correlation, monotonicity, and robustness of each feature vector is introduced as the degradation feature evaluation function. Through the independent component analysis of the vehicle mechanical fault signals of different working conditions, the independent components of the signals of various working conditions are obtained, and these independent components contain some inherent characteristics of the vibration signals of the working conditions. Through the vehicle, internal organization fault, and performance testing test, the accuracy and effectiveness of the proposed method are proved, with high prediction accuracy and robustness, which has important guiding significance for engineering practice.

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With the development of mobile Internet technology in recent years, the online education model represented by MOOC education has been more and more integrated into traditional teaching. As a product of organic integration of Internet technology and education and teaching in the era of informationization, MOOC can enhance the vitality of teaching in practice and has profound significance for promoting education reform. This paper analyzes the development and construction of MOOC education in colleges and universities, and combines the practice of MOOC teaching in college courses to explore the advantages of MOOC teaching and share the experience of online platform. This paper proposes new ideas and methods for the diversification of MOOC teaching in colleges and universities, and proposes corresponding countermeasures and suggestions for the shortcomings of existing development.