互联网车险平台批量导入功能设计和实现

针对互联网车险"直销+网销"的过渡性发展模式,需要将线上线下保单统一管理。根据运营管理平台批量导入的需求模式,设计实现方案,完成了系统功能的开发和测试。整个功能涉及到运营管理平台与业务接口平台的对接、业务接口平台与保险公司接口的对接。系统的软件框架采用了SSM+Dubbo+Zookeeper,平台与平台间采用httpclient进行交互,且整个功能通过了所有的测试用例,并已上线使用。     

CAN总线技术及其在汽车控制中的应用

本文首先概述了CAN总线技术，然后给出了以NEC D78F0828B CAN控制节点为核心的汽车控制系统，并对系统的总体结构、硬件配置及软件功能作了详细说明。     

模具钢车底式炉回火的工艺开发

本文对车底式热处理炉进行的两次模具钢回火工艺试验进行了分析,摸索出合理的热处理工艺制度,成功实现了车底炉回火模具钢的工艺开发.     

DKC12型地下自卸汽车制动系统设计及制动过程分析

设计和分析计算了ＤＫＣ１２型地下自卸汽车的制动系统。通过计算该车制动时的最大减速度、最大制动力矩和制动时的桥荷分配,分析了其制动性能。假设蓄能器内气体处于绝热状态,用计算机计算和优化了整个充压－制动过程,得到了蓄能器充满油后的制动次数、压力和充油量,预估和优化了制动系统各元件参数。理论分析表明,ＤＫＣ１２型地下自卸汽车制动系统满足整车制动性能要求。     

燃料电池汽车侧风稳定性预测

为研究汽车在高速行驶中的侧风稳定性,应用MSC Adams／Car建立某型燃料电池汽车的整车模型,考查该车的抗侧风稳定性,并分析影响其侧风稳定性的主要因素．通过使风压中心后移、增加整车质量以及控制车体侧向面积和降低形心等手段,可以提升整车抗侧风稳定特性．     

螺旋传动在车门闭锁器中的应用

介绍了汽车车门闭锁器的结构和工作原理,对螺旋传动进行了受力和自锁分析。将螺旋传动应用于汽车车门闭锁器中,计算了传动机构中齿轮和螺杆的参数,进行了齿轮弯曲疲劳强度校核和螺旋副校核,并进行了运动仿真。通过研究,验证了在汽车车门闭锁器中应用螺旋传动的可行性。     

CAN总线在车身网络设计中的应用

This paper introduces the method of the application of CAN bus on the design of Car body network.and then gives a scheme for the design of vehicle lamp control system based on CAN bus.The .structure of the System, the hardware circuit of CAN node and the design of software are described in detail.Its feasibility is validated.     

Tourist preferences for fuel cell vehicle rental: going green with hydrogen on the island of Tenerife

Using a discrete choice experiment (DCE), a survey of international tourists on the island of Tenerife is conducted to examine preferences for fuel cell vehicle (FCV) rental while on vacation. Survey respondents were generally supportive of FCVs and willing to hire one as part of their trip but for most individuals this is contingent on an adequate fuel station infrastructure. A latent class model was used to identify three distinct groups; one of which potentially represent early adopters – they have a high willingness-to-pay (WTP) for green hydrogen and are more likely to accept a low number of fuel stations but it could be challenging to convince them to use FCVs if they are not run on green hydrogen.     

Economic Indicators

Currency exchanges rates – updated monthly. Economic indicators of industrial production. Countries included: France, Germany, Italy, the United Kingdom, the United States, Canada, Japan (Total G-7), Eurozone and Total EU-28 (Total OECD). Updated monthly. Economic indicators of car registration in the United States, Canada, France, Germany, Italy, Poland, Spain, Turkey, the United Kingdom, Japan, Republic of Korea and Other OECD (Total OECD-30). Updated monthly. Monthly averages of crude steel production in thousand metric tons for the United States, Canada, Brazil, Mexico, Austria, Belgium, Czech Republic, France, Germany, Italy, Netherlands, Poland, Spain, Sweden, Turkey, the United Kingdom, Russia, Ukraine, South Africa, Iran, China, India, Japan, Republic of Korea, Taiwan and Australia.     

Human–machine hybrid intelligence for the generation of car frontal forms

With the acceleration of the upgrading of the automobile consumption market, artificial intelligence has become an increasingly effective means of enhancing the creative design of automobile appearance modeling. However, when artificial intelligence processes specific design tasks, creativity is primarily based on data drive, resulting in machine-generated design schemes that do not match human-specific psychological intentions. Due to the absence of design knowledge in the process of machine design, there is a data gap between human cognitive thought and machine information processing. This paper aims to structure the human's complex cognitive knowledge of car frontal form, establish the consistency between human and machine cognitive structures, and reduce communication barriers in the process of human–machine hybrid creative design. To achieve this objective, a human–machine hybrid intelligence methodology – a combination of human cognitive mental model, human–machine shared knowledge base, and Generative Adversarial Networks (GAN) – was developed to generate a large number of car frontal forms that are consistent with the design intent. First, we constructed a mental model of human cognition based on three dimensions: design intent, drawing behavior, and functional structure. Second, we created a shared human–machine knowledge base with design Knowledge. This knowledge base contains 12,560 images of car frontal form designs with corresponding morphological semantic labels and 3,140 sketches of car frontal forms drawn by hand. Human–machine shared knowledge base data was utilized in a machine learning training network. In addition, a conditional cross-domain generative adversarial network was developed to investigate the implicit relationship between sketch characteristics, morphological semantics, and image visual effects. Using the suggested method, a large number of images with the specified morphological semantic category and resembling the hand-drawn sketch of a car frontal form can be generated rapidly. In terms of the quality of car frontal form generation, our research is superior to the baseline model according to qualitative and quantitative assessments. In comparison to the designer's output, the human–machine hybrid intelligent generation also demonstrates excellent creative performance.