Applying OpenDataPlatform to IoT and smart homes: How to collect and analyze smart data?

Author: Zen and the Art of Computer Programming

1 Introduction

Open Data Platform (ODP for short) is an open source, cloud data platform for the Internet of Things and smart home fields. ODP provides users with data acquisition services based on the Restful API interface to realize data collection, storage, processing, query, transmission and other functions. Among them, the cloud storage and analysis services provided can help enterprises realize automated data analysis and decision support, creating opportunities for enterprises to realize more value. This article will introduce in detail the characteristics and usage of the ODP platform, as well as the intelligent device data collection, processing and analysis process based on the platform.

2. Core concepts and terminology

2.1 ODP platform features

Open Data Platform (ODP) is an open source, cloud data platform for the Internet of Things and smart home fields. It can quickly and efficiently collect, analyze and manage data from multiple device types through a unified API interface. Users only need to write simple scripts according to the provided guidance manual or call the API interface to easily obtain the required data, and display the data through rich visual components to meet the needs of business data analysis.

Key benefits of ODP include:

  1. Highly flexible scalability. Developers can extend functions through plug-ins to support any type of smart device;
  2. Simple and easy to use. ODP provides a simple and easy-to-use browser-based UI interface, so users can get started quickly without complicated configuration;
  3. low cost. Through cloud deployment, operating costs are reduced, hardware investment is reduced, and overall utilization is improved;
  4. Data is safe and reliable. Adopt a security authentication mechanism to ensure information security during data transmission;
  5. Traceable data quality. Through accurate recording of original data records, data sources can be better traced and data quality ensured.

2.2 Related concepts and terminology

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Origin blog.csdn.net/universsky2015/article/details/131908208