At present, there are several growing problems for sustainable urban growth, and the typical policy strategies to tackle them are inadequate. In recent years, several governments have initiated numerous smart city and smart infrastructure programs aimed at enhancing the quality life of the people and helping town managers improve the public infrastructure activity and management. The usage of the Internet of Things (IoT) for infrastructure system enables the gathering, storing, incorporation, and analysis of large quantities and varieties of information relating to the status and output of infrastructure systems together with public activity through Cloud-based asset management systems, mobile apps, and Big Data analytics. In this paper, a master data management (MDM) approach has been proposed to unlock the importance of comprehensive network data for efficient, safe, and robust community development. In the market field, MDM is implemented for the organization of big data organizational and research applications. The proposed method includes an effective MDM solution for safe, efficient, and functional community design, commercial and open source MDM platforms, city development principles, smart city concept models, adaptive shared network backgrounds, semantic cloud technology, and specialists responsible for designing development, scalable platform technology for evaluating the input.

当前，城市可持续发展存在若干日益严重的问题，而解决这些问题的典型政策战略不足。近年来，一些政府已经发起了许多智慧城市和智慧基础设施计划，旨在改善人民的生活质量，并帮助城镇管理者改善公共基础设施的活动和管理。通过将物联网（IoT）用于基础设施系统，可以通过基于云的资产管理系统收集，存储，整合和分析与基础设施系统的状态和输出有关的大量和各种信息，以及公共活动，移动应用和大数据分析。在本文中，已经提出了一种主数据管理（MDM）方法，以释放全面的网络数据对于高效，安全和健壮的社区发展的重要性。在市场领域，MDM用于大数据组织和研究应用程序的组织。提议的方法包括用于安全，高效和功能性社区设计的有效MDM解决方案，商业和开源MDM平台，城市发展原则，智能城市概念模型，自适应共享网络背景，语义云技术以及负责设计开发的专家，用于评估输入的可扩展平台技术。