数据与计算发展前沿 ›› 2021, Vol. 3 ›› Issue (2): 50-59.

doi: 10.11871/jfdc.issn.2096-742X.2021.02.006

• 管理决策与智能应用专刊 • 上一篇    下一篇

中国科学院智能财务应用初探

何峻1(),罗雯1(),于建军2(),施卓敏2,*()   

  1. 1.中国科学院条件保障与财务局，北京 100864
    2.中国科学院计算机网络信息中心，北京 100190
  • 收稿日期:2021-03-01 出版日期:2021-04-20 发布日期:2021-05-18
  • 通讯作者: 施卓敏
  • 作者简介:何峻,中国科学院条件保障与财务局,高级会计师,注册会计师,全国高端会计人才学员,预算制度处副处长,从事财务管理、科研经费管理等相关工作。
    在本文中承担智能财务应用研究。
    HE Jun is an employee in Bureau of Facility Support and Budget of Chinese Academy of Sciences, titled as senior account, certified public account, a member in National Top Accountant Cultivation Program, and Deputy Division Chief of Budget System Division. He is occupied in financial management, research expenditure management, and other related work.
    In this paper, he undertakes the intelligent finance application research as well as literature writing.
    E-mail: hejun@cashq.ac.cn|罗雯,中国科学院条件保障与财务局,高级会计师,预算制度处处长,从事财务管理、科研经费管理等相关工作。
    在本文中承担智能财务应用研究。
    LUO Wen is an employee in Bureau of Facility Support and Budget of Chinese Academy of Sciences, titled as senior account, and Division Chief of Budget System Division. She is occupied in financial management, research expenditure management, and other related work.
    In this paper, She undertakes the intelligent finance application research.
    E-mail: luowen@cashq.ac.cn|于建军,中国科学院计算机网络信息中心,研究员,博士生导师,管理信息化部副主任,主要研究方向为大数据分析、协同推荐、云计算,当前主要从事新一代ARP相关技术研究。
    在本文中负责总体统稿。
    YU Jianjun is currently the researcher, doctoral supervisor, and the deputy Director of Management informazation Deparment, Computer Network Information Center, Chinese Academy of Sciences. His research interests cover big data analysis, collaborative filtering recommendation, cloud computing.
    In this paper, he is responsible for the overall draft.
    E-mail: yujj@cnic.cn|施卓敏,中国科学院计算机网络信息中心,硕士,高级工程师,主要研究方向为大数据分析、管理信息化、智能财务应用等。
    本文中承担案例整理。
    SHI zhuomin, master, is a senior engineer at Computer Network Information Center, Chinese Academy of Sciences. Her research interests cover big data analysis, management informatization, and Intelligent financial application.
    In this paper, she undertakes case arrangement work.
    E-mail: zmshi@cnic.cn

A Preliminary Study on Intelligent Finance of CAS

HE Jun1(),LUO Wen1(),YU Jianjun2(),SHI Zhuomin2,*()   

  1. 1. Bureau of Facility Support and Budget , Chinese Academy of Sciences, Beijing 100864, China
    2. Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China
  • Received:2021-03-01 Online:2021-04-20 Published:2021-05-18
  • Contact: SHI Zhuomin

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摘要：

[背景] 我国现行财务体系下,电子票与纸质票共存,带来了报销繁琐问题。如何依托云计算、人工智能等新型信息技术,提升财务报销智能化水平成为近期研究热点问题。[方法] 中国科学院为落实国家“放管服”政策,围绕新一代ARP（Academia Resource Planning）系统引入新型创新服务,包括智能报销、智能公务之家、银企互联等增值服务,以推进全院财务智能化水平。[结果] 截止到目前,这些智能财务服务已在全院90多家单位得到了充分应用,这对落实国家改革政策,解决院属各单位“报销繁”的问题起到了积极作用。

关键词: 智能财务, 银企互联, 发票验真, 票据识别

Abstract:

[Background] In the current financial system, the existence of both electronic tickets and paper tickets makes reimbursement laborious. How to improve the intelligent level of financial reimbursement through cloud computing, artificial intelligence, and other new technologies has become a hot issue recently. [Methods] Granted by national reforms, CAS practices several novel financial approaches to streamline administration, delegate powers, and improve regulation and services based on the New ARP (Academia Resource Planning) system. [Results] Until now, these intelligent financial services have been fully applied by more than 90 institutions of CAS. According to our statistics, these services play an active role in implementing the national reform policies and solving the problem of laborious reimbursement processes.

Key words: intelligent finance, bank-corporate express system, invoice verification, receipt recognition