基于智能家居产业供应链的互联网服务中台建设和技术方案
Business Platform Construction and Technical Solutions for the Internet Service Platform Based on the Smart Home Industry Supply Chain
摘要: 随着智能家居产业的快速发展以及产品和服务的多样化,智能家具供应链的管理变得日益复杂,为应对多样的服务以及数据管理困难等一系列挑战。本文提出了并设计实现了基于智能家居产业供应链的互联网服务中台,该系统不仅在数字化服务管理流程中采用大数据和人工智能技术,并且通过订单供需关系建模技术、趋势预测技术和基于知识图谱的供应知识融合技术实现了对供应链管理进行全面数字化升级,实现了一个数字化供应链的智能服务平台。同时平台通过实现标准数据模型管理、应用数据模型管理、数据质量管理、数据链路分析以及智能标签体系建设等,平台提供了高标准、易用的一站式大数据管理解决方案,将数字化技术应用于智能家居产业链的结构转型中,大幅度降低服务以及数据管理难度从而更高效地挖掘和利用数据中的业务价值。
Abstract: With the rapid development of the smart home industry and the diversification of products and services, the management of the smart furniture supply chain has become increasingly complex in order to cope with a series of challenges such as diverse services and data management difficulties. This paper proposes and designs an Internet service platform based on the supply chain of the smart home industry. The system not only adopts big data and artificial intelligence technology in the digital service management process, but also realizes a comprehensive digital upgrade of supply chain management through order supply and demand relationship modeling technology, trend forecasting technology and supply knowledge fusion technology based on knowledge graph. It realizes an intelligent service platform for the digital supply chain. At the same time, by realizing standard data model management, application data model management, data quality management, data link analysis and smart label system construction, the platform provides a high-standard and easy-to-use one-stop big data management solution, and applies digital technology to the structural transformation of the smart home industry chain, which significantly reduces the difficulty of service and data management to more efficiently discover and leverage business value in data.
参考文献
|
[1]
|
卓晓冬. 基于STC单片机的“互联网+”智能家居系统设计[J]. 家电维修, 2024(11): 74-76.
|
|
[2]
|
李梓, 梁彬. 互联网物流服务平台研究——以“跑小帮——代跑客栈”为例[J]. 时代汽车, 2024(17): 169-171.
|
|
[3]
|
Christou, I.T., Kefalakis, N., Soldatos, J.K. and Despotopoulou, A. (2022) End-to-End Industrial IoT Platform for Quality 4.0 Applications. Computers in Industry, 137, Article ID: 103591. [Google Scholar] [CrossRef]
|
|
[4]
|
吕晶. 数字技术对制造业与生产性服务业融合的影响研究[D]: [硕士学位论文]. 兰州: 兰州财经大学, 2024.
|
|
[5]
|
苗志芹. “互联网+”创新驱动制造业发展分析[J]. 财经界, 2021(30): 57-58.
|
|
[6]
|
吕明元, 陈磊. “互联网+”对产业结构生态化转型影响的实证分析——基于上海市2000-2013年数据[J/OL]. 上海经济研究, 2016(9): 110-121.
|
|
[7]
|
李岳阳. UM业务中台系统的设计与实现[D]: [硕士学位论文]. 北京: 北京邮电大学, 2023.
|
|
[8]
|
刘东波, 罗常伟. 基于软件定义的任务规划中台架构设计[J]. 火力与指挥控制, 2024, 49(5): 111-116, 123.
|
|
[9]
|
陈云腾, 陈卓. 基于中台架构的国有交通投资集团数字化转型研究[J]. 科学决策, 2023(1): 78-103.
|
|
[10]
|
Guo, T., Han, J.T. and Yang, X.L. (2015) Architecture and Key Capabilities of Management System of Smart Home. Telecommunications Science, 31, 110-115.
|
|
[11]
|
蒋志伟, 王伟, 刘姗, 等. 基于ARM的智能家居系统的设计与实现[J]. 现代电子技术, 2023, 46(4): 177-181.
|
|
[12]
|
何文丰. 一种多层结构型智能家居系统的设计与实现[D]: [硕士学位论文]. 厦门: 厦门大学, 2023.
|
|
[13]
|
刘兵. 智能家居系统互联互通的设计与实现[D]: [硕士学位论文]. 北京: 北京邮电大学, 2013.
|