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How to realize the Visual Analysis of Internet equipment data through Azure IoT Center

2025-02-23 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > Servers >

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This article shares with you how to realize the visual analysis of Internet device data through Azure IoT Center. Xiaobian thinks it is quite practical, so share it with you. I hope you can gain something after reading this article. Let's not say much. Let's take a look at it together with Xiaobian.

project overview

The Internet of Things (IoT) is called the Internet of Things (IoT). As the name suggests, the Internet of Things is the Internet of Things. The Azure platform follows the wave of IoT development and provides very complete support for IoT. In this project, we'll cover IoT-based solution architecture, describing some of the characteristics and processes of IoT solutions deployed using Azure services. IoT solutions require secure two-way communication between devices (potentially millions or more) and the solution backend. By using Azure IoT Center, Azure Stream Analytics, PowerBI, Web Applications, Database and other services, it makes it easier for you to develop IoT and transfer data more stably and securely. Azure IoT solutions can quickly connect large-scale devices to the cloud, receive large-scale data from these devices, manage the authorization and restrictions of these devices, and analyze and process data to provide real-time analysis and monitoring to provide the most timely data and support for your application services. At the same time, combining Azure web apps and big data services can help you quickly analyze data and publish the necessary information. You can also dynamically adjust service plans and scale horizontally and vertically according to business needs to adapt to business development and save costs.

important concept

Internet of Things (IoT): Internet of Things (IoT). The Internet of Things is actually an extension of the Internet, but the essence is still the Internet. Only the terminal of the Internet is a computer (PC, server), and the terminal of the Internet of Things is no longer a computer (PC, server), but an embedded computer system and its supporting sensors. Such as wearable devices, environmental monitoring devices, virtual reality devices, etc. The name Internet of Things means Internet of Everything.

Azure IoT Suite: Azure IoT Suite is a suite of solutions for packaging multiple Azure services together with custom extensions as a pre-configured solution. Azure Internet of Things (IoT) services provide the following capabilities. These enterprise-class services enable you to:

Collecting data from devices

Analyze data flows on the move

Store and query large datasets

Visualize real-time and historical data

Integration with back-office systems

management device

Azure IoT Suite provides software development kits through prefabricated solutions that are constantly customized and extended to meet customer needs. The IoT suite includes many services.

At the heart of the Azure IoT suite is the Azure IoT Hub service. The service provides device-to-cloud and cloud-to-device messaging capabilities and acts as a gateway to cloud and other major IoT suite services. This service allows you to receive a large number of messages from your device and send commands to your device. The service also allows you to manage devices. For example, one or more devices connected to the hub can be configured, restarted, or factory reset.

Azure Stream Analytics provides data analytics on the move. IoT Suite uses this service to process incoming telemetry, perform aggregation, and detect events. Preconfigured solutions also use flow analysis to process informational messages that contain data, such as metadata or command responses from devices. These solutions use flow analysis to process messages from your device and deliver them to other services.

Azure Storage and Azure Cosmos DB provide data storage capabilities. Preconfigured solutions use blob storage to store telemetry data and make it available for analysis. These solutions use Cosmos DB to store device metadata, as well as to enable the solution's device management capabilities.

Azure Web Apps and Power BI provide data visualization capabilities. With the flexibility of Power BI, you can quickly generate your own interactive dashboards using IoT suite data.

Azure Web Apps: Azure Web Apps are a class of Azure application services that allow you to build and host Web applications in a programming language of choice without having to manage infrastructure. You can build your Web apps using Azure Application Services support such as ASP.NET, Node.js, Java, PHP, or Python.

Azure Application Services: Azure Application Services is Azure's platform-as-a-service (PaaS) offering. Create Web and mobile apps for any platform or device. Integrate applications with SaaS solutions, connect with on-premises applications, and automate business processes. Application services provide a variety of application types, including Web applications, mobile applications, API applications.

PaaS: Platform-as-a-Service (PaaS) is a complete development and deployment environment in the cloud with resources you can use to deliver content, from simple cloud-based applications to complex cloud-enabled enterprise applications. You buy the resources you need from a cloud service provider on a pay-as-you-go basis and access them over a secure Internet connection.

Similar to IaaS, PaaS also includes infrastructure such as servers, storage space, and networks, but it also includes middleware, development tools, business intelligence (BI) services, and database management systems. PaaS is designed to support the full lifecycle of Web applications: build, test, deploy, manage, and update.

PaaS eliminates the expense and complexity of purchasing and managing software licenses, application infrastructure and middleware, or development tools and other resources. You manage the apps and services you develop, and the cloud service provider generally does the rest.

Azure Storage: Azure Storage is an affordable and reliable cloud storage solution for all types of data, including basic cloud storage services such as blobs, tables, queues, and files, as well as advanced storage services. Provides optimal support and assurance for applications that require scalable, persistent, and highly available storage for their data. Azure storage scales massively, so you can store and process hundreds of terabytes of data to support the big data scenarios required for scientific, financial analytics and media applications.

Azure SQL Database: Azure SQL Database is a fully hosted relational database-as-a-service (DBaaS) in Azure. With this platform as a service offering, all patching and updating of the SQL code base can be handled seamlessly, bypassing all management of the underlying infrastructure. SQL Database shares its code base with the SQL Server Database Engine. SQL databases are general relational databases that support relational data, JSON, spatial, and XML structures. It provides dynamically scalable performance and offers options such as column-store indexing (for extreme analytics and reporting) and in-memory OLTP (for extreme transactions). SQL databases deliver predictable, dynamically scalable performance at multiple service levels, with zero downtime, built-in intelligent optimization, global scalability and availability, and advanced security options-all with little to no human management. With these capabilities, customers can focus on how to develop applications quickly and get them to market faster without having to invest valuable time and resources in managing virtual machines and infrastructure.

Power BI is a cloud-based business analytics service developed by Microsoft that gives you a single view of your most critical business data. Monitor your business health with real-time dashboards. Power BI Embedded is an Azure service that enables ISVs to incorporate the Power BI data experience into their own applications. Developers have built applications that have their own users and different feature sets. These apps may also happen to have built-in data elements such as charts and reports that can now be powered by Power BI Embedded. No Power BI account is required to use these apps. You can continue to log in to these apps, view and interact with the Power BI reporting experience as before, without any additional authorization.

cost estimates

The cost of using the entire project will vary according to the needs and usage of the project. For example, Web application service plans, individual databases, elastic databases, CDN traffic usage, how many messages are sent, and so on. IOT suites offer a certain amount of free credits, while app services bring together everything you need to create Web and mobile apps for any platform and any device. Free and shared plans allow you to host apps in a shared environment, while Basic, Standard, and Premium plans offer virtual machines dedicated to the plan. You can host multiple apps and domains in each instance you deploy within your plan. If you are a $1 subscriber, your service is basically free to use the basic service for the duration of your service. 1 yuan subscription users please refer to- 1 yuan subscription details. Otherwise, please refer to Application Service Price Details, Storage Price Details, Azure Cosmos DB Price Details, Power BI Service Prices.

Below is a simple architectural introduction to IoT services.

If you already have some understanding of the basic IoT scenario, you can refer to the architecture diagram below for more details. It mainly involves three parts: equipment connection, data processing, analysis and management, and data display. That's what we're going to show you in today's sample.

The overall IoT project is roughly structured in the following steps:

1. preparations

2. Creating an IoT hub

3. Create Device ID

4. Receive device-to-cloud messages

5. Create an analog device application

6. running applications

7. Process device-to-cloud messages

8. Visualize real-time sensor data with Azure Web apps

The above is how to realize the visual analysis of Internet device data through Azure IoT Center. Xiaobian believes that some knowledge points may be seen or used in our daily work. I hope you can learn more from this article. For more details, please follow the industry information channel.

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