As an emerging city with a long cultural history in Hebei Province, Hengshui is constantly deepening its efforts in promoting its urban image. This paper explores and classifies the regional culture of Hengshui, and designs a series of posters based on its long history and distinctive regional characteristics. This poster design not only expresses the cultural heritage contained within the city, but also reflects the emerging regional characteristics of modern Hengshui. It comprehensively interprets and reconstructs Hengshui education, regional famous figures, Hengshui landmark buildings, and local characteristic culture. With the help of the poster design, it showcases a constantly developing and innovative charming city, promoting the new era of Hengshui style. Let more people have a deeper understanding of today's Hengshui and make efforts to promote regional economic development and improve economic efficiency in Hengshui.

This document describes in detail the design and modeling scheme of the towering tower structure in the seventh national college students' structural design competition in Hebei Province. For the towering tower structure with horizontal vibration, this paper firstly interprets the competition problem and clarifies the design requirements and loading conditions, including three levels of loading: horizontally excited vibration, hydrostatic calm load and horizontally excited vibration of higher frequency and amplitude. Subsequently, the final model scheme was optimized and determined through material performance testing, component design and testing, structural modeling and analysis. In terms of materials, bamboo veneer and bamboo strips were used as the main materials in this paper, and their mechanical properties were tested in detail. The structure was modeled and analyzed by Midas finite element software, and the strength, stiffness and stability of the structure were comprehensively evaluated. During the modeling process, the focus was placed on the connection method of nodes, material treatment and detail construction to ensure that the model can safely carry and meet the design requirements during actual loading. After several rounds of design optimization and loading tests, the model of the towering tower structure in the form of truss structure is finally determined, and the model shows good force performance and load carrying capacity at all levels of loading conditions. The whole process of model design, fabrication and testing is recorded in detail in this paper, which provides valuable experience for the design of similar structures.

The field of mechanical design and manufacturing in the modern industrial and economic development has a key importance, the current era of big data information technology, artificial intelligence has become the focus of the times around, the need to combine artificial intelligence technology with the field of mechanical design and manufacturing focus on promoting the mechanical design and manufacturing to the intelligent, flexible and sustainable development forward. This paper begins with a theoretical overview, followed by an analysis of the current status of the application of artificial intelligence in the field of mechanical design and manufacturing from machine vision, intelligent manufacturing, intelligent control, design optimization and simulation, and further analysis of its development prospects, including the trend of green manufacturing, human-computer interaction, Internet of Things deep fusion, and finally, through the application of the case and the summary, to explain that artificial intelligence is accelerating the mechanical design and manufacturing industry to the intelligent Finally, through application cases and summarization, it explains that AI is accelerating the development of machinery design and manufacturing industry to intelligentization, and expects to provide basis for related industries and fields and promote the long-term and stable development of machinery industry.

 In order to realize the purpose of better inspection on the outer surface of high-rise buildings, comprehensively detect the damage of the building surface, so as to find various problems, such as cracks, bulge and falling off, a UAV inspection image acquisition and processing system based on convolutional neural network is designed. The UAV uses open MV to realize the efficient processing of visible light image information, and uses an embedded system for image fusion processing. Using convolutional neural network model and multi-object detection algorithm, extract the feature value of broken position and combine multiple sensors for 3 D position transformation. Data reads and 3 D coordinate map presentation were performed using the app software. For the safety problem of ceramic tiles, a marking device is installed on the UAV. Calculate the threat range and use the application to send location information to maintenance personnel and alert information to residents, and provide real-time location safety monitoring. The experimental results show that the designed uav can realize comprehensive, automatic, intelligent, efficient and preventive inspection of the building health status and problems of buildings through inspection, data collection and processing, intelligent analysis and early warning.

In order to solve the problem of calculating the efficiency of the heliostat distribution, based on the knowledge of physics and astronomy, this paper establishes a variety of physical parameter calculation models, comprehensively considers the relevant data and constraints of the heliostat field, solves and calculates the parameters of the heliostat field, and calculates the optical efficiency and output thermal power of the heliostat according to the relevant calculation formulas. In order to optimize the design of heliostat field, the optimal results of each parameter of heliostat field are obtained through multiple iterative calculations and comparative analysis by using the simulated annealing algorithm, which realizes the optimization of the heliostat field and ensures the highly efficient performance of the heliostat field.