Management information platform based on Internet of Things

Q4 Engineering Measurement Sensors Pub Date : 2024-06-20 DOI:10.1016/j.measen.2024.101262
Lixia Chang, Lifeng Liu
{"title":"Management information platform based on Internet of Things","authors":"Lixia Chang,&nbsp;Lifeng Liu","doi":"10.1016/j.measen.2024.101262","DOIUrl":null,"url":null,"abstract":"<div><p>In order to study the financial management mode and innovation of electric power enterprises under the current situation, a research method of electric power financial management innovation in the era of Internet of Things is proposed. According to the network topology of the system and the analysis of the Android system, the client of the financial management system, the main functional modules of the system and the data warehouse are designed. The client of the financial management system will divide the client into an information interaction unit and a data calculation unit according to the actual needs of the client; the main functional modules of the system are divided into account management unit, salary management unit, project management unit, system management unit, and fixed asset management unit. Unit, revenue and expenditure management unit and report management unit, the sub-units of each unit are divided into brief analysis, and the outpatient registration fee management module and inpatient fee management module of the revenue and expenditure management unit are introduced in detail; in the hospital financial data warehouse, in the application layer An interactive platform is built between it and the data warehouse, and the module is integrated into the existing data warehouse to realize the processing, storage and operation of massive data. The proposed system has a large operating safety factor, high user satisfaction, and an average system flexibility factor of 0.94. The power financial management information platform based on the Internet of Things has a very good performance in the application. Therefore, the method in this paper can enhance the work efficiency of electric power enterprises and enhance the core competitiveness of electric power enterprises.</p></div>","PeriodicalId":34311,"journal":{"name":"Measurement Sensors","volume":"34 ","pages":"Article 101262"},"PeriodicalIF":0.0000,"publicationDate":"2024-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2665917424002381/pdfft?md5=22ff56eb4e32b0f4eabb45d3f7ff613d&pid=1-s2.0-S2665917424002381-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Measurement Sensors","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2665917424002381","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0

Abstract

In order to study the financial management mode and innovation of electric power enterprises under the current situation, a research method of electric power financial management innovation in the era of Internet of Things is proposed. According to the network topology of the system and the analysis of the Android system, the client of the financial management system, the main functional modules of the system and the data warehouse are designed. The client of the financial management system will divide the client into an information interaction unit and a data calculation unit according to the actual needs of the client; the main functional modules of the system are divided into account management unit, salary management unit, project management unit, system management unit, and fixed asset management unit. Unit, revenue and expenditure management unit and report management unit, the sub-units of each unit are divided into brief analysis, and the outpatient registration fee management module and inpatient fee management module of the revenue and expenditure management unit are introduced in detail; in the hospital financial data warehouse, in the application layer An interactive platform is built between it and the data warehouse, and the module is integrated into the existing data warehouse to realize the processing, storage and operation of massive data. The proposed system has a large operating safety factor, high user satisfaction, and an average system flexibility factor of 0.94. The power financial management information platform based on the Internet of Things has a very good performance in the application. Therefore, the method in this paper can enhance the work efficiency of electric power enterprises and enhance the core competitiveness of electric power enterprises.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于物联网的管理信息平台
为了研究当前形势下电力企业的财务管理模式与创新,提出了物联网时代电力财务管理创新的研究方法。根据系统的网络拓扑结构和对Android系统的分析,设计了财务管理系统的客户端、系统的主要功能模块和数据仓库。财务管理系统客户端将根据客户端的实际需要分为信息交互单元和数据计算单元;系统主要功能模块分为账务管理单元、工资管理单元、项目管理单元、系统管理单元、固定资产管理单元。单元、收支管理单元和报表管理单元,对各单元的子单元进行了简要分析,并对收支管理单元中的门诊挂号收费管理模块和住院收费管理模块进行了详细介绍;在医院财务数据仓库中,在应用层中与数据仓库之间建立交互平台,将模块集成到现有的数据仓库中,实现海量数据的处理、存储和操作。所提出的系统运行安全系数大,用户满意度高,系统平均灵活系数为 0.94。基于物联网的电力财务管理信息平台在应用中有很好的表现。因此,本文的方法可以提高电力企业的工作效率,增强电力企业的核心竞争力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Measurement Sensors
Measurement Sensors Engineering-Industrial and Manufacturing Engineering
CiteScore
3.10
自引率
0.00%
发文量
184
审稿时长
56 days
期刊最新文献
Augmented and virtual reality based segmentation algorithm for human pose detection in wearable cameras Exploring EEG-Based biomarkers for improved early Alzheimer's disease detection: A feature-based approach utilizing machine learning Deep learning model for smart wearables device to detect human health conduction Review and analysis on numerical simulation and compact modeling of InGaZno thin-film transistor for display SENSOR applications Artificial intelligence and IoT driven system architecture for municipality waste management in smart cities: A review
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1