I. Internet of Things Application Platform
Some IoT application platforms are completely out-of-the-box and customized for a specific set of IoT use cases. Provided as cloud-based software or "Software as a Service," they are typically bundled with supported devices in a package. Users don't need to do any top-level programming or development, but there are some limitations in terms of device and network connectivity interoperability. Some even lack the ability to integrate with external systems for further data transfer. (Source: IoT Home Network) While not all, many of these platforms are used in smart city and consumer IoT environments where availability and readiness are paramount. One example is the Samsung SmartThings platform for home automation.
On the other hand, IoT application platforms designed for large-scale industrial and commercial deployments are mostly designed to be device- and industry-agnostic and can support data in various formats. These are known as Application Support Platforms (AEPs). Typically, powerful application templates are available for real-time data analysis and visualization in key IoT use cases. Simultaneously, these platforms provide tools and services that enable developers to build and manage multiple custom applications with minimal cost and complexity—often without even writing code. Deployment models are usually flexible, and the platform can be easily integrated with existing business systems and other IoT platforms.
II. Functions and Roles of the Internet of Things Platform
The Internet of Things (IoT) platform is a key component connecting physical devices and cloud systems. Its main functions include data acquisition, data processing, data storage, device management, and application programming interfaces (APIs).
The most fundamental task in an IoT platform is data acquisition. This can be achieved through sensors and other physical devices that monitor environmental parameters (such as temperature, humidity, and light intensity) or collect other types of data (such as location information, acceleration, and sound). The acquired data can then be transmitted to a cloud system for processing and analysis.
Data processing is a crucial task in IoT platforms. This includes filtering, processing, transforming, and aggregating collected data. For example, machine learning algorithms can be used to predict future data trends or to combine data from multiple sensors to generate new datasets.
Data storage is another key function in IoT platforms. Because IoT devices collect massive amounts of data, this data must be stored in reliable and scalable storage systems. Typically, these storage systems utilize distributed databases and cloud storage services.
Device management is another key function of an IoT platform, helping businesses monitor and manage their device fleet. Through an IoT platform, businesses can monitor device status, such as whether devices are online and functioning properly, and perform device maintenance and management. Furthermore, the IoT platform can provide businesses with analytics and reports on device usage.
Finally, the IoT platform also needs to provide application programming interfaces (APIs) to support the integration of third-party applications. These applications can be mobile applications, web applications, or other types of applications. Through the API, third-party developers can access and manipulate data and devices within the IoT platform.
In summary, the goal of an IoT platform is to provide reliable data collection, processing, storage, and management capabilities by connecting physical devices and cloud systems, and to offer open APIs for third-party applications. These capabilities help businesses better understand how their devices are being used and achieve more efficient and intelligent business processes.
