基于JavaWeb的汽车后市场信息搜索系统的设计与实现

发布时间：2018-03-07 17:02

本文选题：汽车后市场　切入点：信息搜索　出处：《中国地质大学(北京)》2017年硕士论文　论文类型：学位论文

【摘要】：汽车后市场是指汽车销售后的各种服务,如维修保养、美容改装等产生的交易活动的总称。现今国内的汽车后市场同日本、美国等国家的相比,还存在很多不足。以互联网为平台的一些汽车服务电子商务平台虽然逐渐被人们所接受,但目前还处于摸索阶段。标准不一,信息不全,水平参差不齐等各种问题使得汽车后市场行业的连锁化和互联网化还有很长的路要走。本文借鉴了美国Repairpal、AutoMD、Be Car Care Aware等网站成功的经验,区别于国内大部分电商性质的网站和一条龙服务性质的APP,注重全国厂家商家等基础数据的收集,设计开发了汽车后市场信息搜索系统。考虑到搜索系统的跨平台性和系统开发维护时代码的重用性和可维护性等需求,搜索系统开发采用MVC框架模式,由JSP+Servlet+JavaBean实现。开发时使用了jQuery和AJAX等技术,实现了信息显示的异步更新,提高了软件的性能。为了保证用户对搜索结果的满意度,通过统计用户输入搜索字符串的格式,设计了字符串处理流程,并重点研究了搜索时的中文分词算法。针对搜索时行业专有名词多的特点,采用基于词典的全切分算法进行中文分词,并使用N-Gram模型选择切分结果的最优解。为了保障系统所有者的利益,提高企业信息等重要内容的安全性,在研究了前人对多种加密算法性能对比的基础上,针对AES算法的加解密过程,提出了秘钥扩展算法的改进方案,建立了搜索系统的加密模型。最后对改进前后算法进行了对比测试,对汽车后市场搜索系统部分模块进行了功能测试,对发现的问题提出了处理方案。汽车后市场信息搜索系统主要面向行业内部厂家、商家和修理厂等用户,提供一个全国范围内的商业交流和广告媒体平台。同时兼顾个人车主用户,为用户选择汽配店、维修店等需求提供了便利途径。系统收集建立了完善的企业信息数据库,为以后的业务拓展奠定了数据基础,聚集了人气。同时使得全国汽车后市场联系更加紧密,推动产业的连锁化和互联网化,更好的同国际接轨。
[Abstract]:The after-car market is the general term for all kinds of after-sale services, such as repair and maintenance, beauty modification and so on. The domestic rear market is compared with that of Japan, the United States and other countries. Although some automotive service e-commerce platforms based on the Internet are gradually accepted by people, they are still in the groping stage. The standards are different and the information is incomplete. There is still a long way to go for the chain and internet industry in the automobile market because of the uneven level. This paper draws lessons from the successful experience of websites such as Repairpaln AutoMDBe Car Care Aware, etc. Different from most domestic e-commerce websites and one-stop service APPs, they pay attention to the collection of basic data such as manufacturers and merchants throughout the country. This paper designs and develops the information search system for the rear market of automobile. Considering the cross-platform nature of the search system and the reusability and maintainability of the code in the development and maintenance of the system, the MVC framework pattern is adopted in the development of the search system. Implemented by JSP Servlet JavaBean, jQuery and AJAX are used in the development to realize asynchronous update of information display and improve the performance of software. In order to ensure the users' satisfaction with the search results, the format of the search string is input by the user. The process of string processing is designed, and the algorithm of Chinese word segmentation in search is mainly studied. In view of the fact that there are many proper nouns in the industry, the total segmentation algorithm based on dictionary is used for Chinese word segmentation. The N-Gram model is used to select the optimal solution of the segmentation results. In order to protect the interests of the system owners and improve the security of important contents such as enterprise information, the performance comparison of several encryption algorithms is studied. In view of the encryption and decryption process of AES algorithm, an improved scheme of secret key expansion algorithm is proposed, and the encryption model of search system is established. The functional test of some modules of the rear market search system is carried out, and the solutions to the problems found are put forward. The information search system for the rear market of the automobile is mainly aimed at the users of the industry, such as manufacturers, merchants and repair factories, etc. To provide a nationwide commercial exchange and advertising media platform. At the same time, taking account of individual owners and users, it provides a convenient way for users to select auto accessories shops, repair shops, etc. The system collects and establishes a perfect enterprise information database. For the future business development laid the data foundation, gathered the popularity, at the same time makes the national automobile rear market connection closer, promotes the industry chain-like and the Internet turn, better with the international connection.
【学位授予单位】：中国地质大学(北京)
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP311.52;TP391.3

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