期刊文献+

基于微信企业号的执法监督检查系统的设计与实现

Design and Implementation of Law Enforcement Supervision and Inspection System Based on WeChat Enterprise Number
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摘要 为了避免响水事件再次发生,通过基于微信企业号的执法监督检查系统,加强对企业安全生产的监管力度。采用MVC三层架构的方式,配合Html5、JavaScript、Spring boot、Mybatis等Web框架和工具,实现了现场检查、检查结果判决、企业信息管理以及统计分析等功能。该系统实现了执法监督检查的智能化、无纸化、便捷化的操作,以扫描二维码下达PDF版执法文书的方式,提高了工作人员执法检查的效率,保障了对企业安全生产监管的力度。 In order to avoid the recurrence of the Xiangshui Incident,the supervision of the safety production of enterprises is strengthened through the law enforcement supervision and inspection system based on the WeChat enterprise number.Using MVC three-tier architecture,with Html5,JavaScript,Spring boot,Mybatis and other Web frameworks and tools,it implements functions such as on-site inspection,inspection result judgment,enterprise information management and statistical analysis.The system realizes the intelligent,paperless and convenient operation of law enforcement supervision and inspection,and scans the two-dimensional code to issue PDF version of law enforcement documents,which improves the efficiency of staff law enforcement inspection and guarantees the supervision of enterprise safety production strength.
出处 《工业控制计算机》 2019年第12期142-144,共3页 Industrial Control Computer
基金 江苏省自然科学基金(BK20180467) 南京理工大学科研启动费资助
关键词 微信企业号 执法监督检查系统 WEB开发 PDF 二维码 WeChat Enterprise Number law enforcement supervision and inspection system Web Development PDF QR Code
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  • 1汤先钊,马东升,赵伟鹏.加强医疗设备的整体化管理[J].医疗卫生装备,2006,27(5):38-39. 被引量:15
  • 2Chatterjee P, Hoffman DL, Novak TP. Modeling the clickstream: Implications for Web-based advertising efforts. Marketing Science, 2003,22(4):520-541. [doi: 10.1287/mksc.22.4.520.24906]. 被引量:1
  • 3Wang C, Zhang P, Choi R, D'Eredita M. Understanding consumers' attitude toward advertising. In: Proc. of the 8th Americas Conf. on Information System. 2002. 1143-1148. 被引量:1
  • 4Ribeiro-Neto B, Cristo M, Golgher PB, Moura ES. Impedance coupling in content-targeted advertising. In: Proe. of the SIGIR 2605. New York: ACM Press, 2005. 496-503. [doi: 10.1145/1076034.1076119]. 被引量:1
  • 5Lacerda A, Cristo M, Goncalves MA, Fan WG, Ziviani N, Ribeiro-Neto B. Learning to advertise. In: Proc. of the SIGIR 2006. New York: ACM Press, 2006. 549-556. [doi: 10.1145/1148170.1148265]. 被引量:1
  • 6Broder AZ, Fontoura M, Josifovski V, Riedel L. A semantic approach to contextual advertising. In: Proc. of the SIGIR. 2007. 559-566. [doi: 10.1145/1277741.1277837]. 被引量:1
  • 7Chakrabarti D, Agarwal D, Josifovski V. Contextual advertising by combining relevance with click feedback. In: Proc. of the 17th Int'l Con1: on World Wide Web (WWW 2008). Beijing: ACM Press, 2008.417-426. [doi: 10.1145/1367497.1367554]. 被引量:1
  • 8Yih W, Goodman J, Carvalho VR. Finding advertising keywords on Web pages. In: Proc. of the 15th Int'l Conf. on World Wide Web (WWW 2006). New York: ACM Press, 2006. 213-222. [doi: 10.1145/1135777.1135813]. 被引量:1
  • 9Belkin N, Croft B. Information filtering and information retrieval. Communications of the ACM, 1992,35(12):29-37. [doi: 10.1145/138859.138861]. 被引量:1
  • 10Balabanovic M, Shoham Y. Fab: Content-based collaborative recommendation. Communications of the ACM, 1997,40(3):66-72. [doi: 10.1145/245108.245124]. 被引量:1

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