Ali intelligent hardware platform solution analysis

1. Hardware device phase: At this stage, it connects the smart device to the gateway to exchange data using networked communication applications and modules such as multipoint control units (MCUs), sensors, and Wi-Fi/3G/4G sensors. .

2. Cloud Gateway Phase: At this stage, the Cloud Gateway receives messages from the networked intelligent hardware devices and forwards them to the independent nodes through a common protocol.

3. Mobile client: At this stage, the platform sends and receives data through the cloud gateway, performs device registration query, data storage, data processing, and sends related instructions.

4. IoT phase: In the IoT phase, load balancing and scale-out ECS cluster push and receive high quality concurrent data structures.

5. Business phase: In the business phase, the node matches the target hardware and forwards the service data based on the parameters set by the user. This forwarding completes the data subscription and data distribution of the business system and allows you to control the hardware efficiently.

6. Big data phase: In the big data phase, a large amount of transaction data generated by users is stored in Alibaba Cloud Table Storage or DRDS to respond to queries in real time.

In the traditional hardware industry, the understanding of the Internet of Things and the Internet requires a long process. In the traditional IDC, it is generally a matter of months from the business forecast, solution determination, selection, procurement, installation and deployment. How to quickly realize hardware networking, related applications and data storage analysis is very important. At present, traditional hardware networking has become a trend in the industry. More manufacturers, hardware and end users will directly access the intelligent hardware platform, and the platform needs to be based on the business. The demand quickly increases resources to meet the needs of users.

The intelligent hardware platform enables the customer to control the intelligent hardware and query the status of the intelligent hardware device in real time through a long connection or message mechanism. On the other hand, hardware device status data and sensor data are also transmitted back to the server in real time. Massive devices bring massive concurrent access and massive amounts of data. Use various algorithms and tool models to analyze and analyze data to optimize hardware design, R&D, production, sales, and after-sales to improve the overall efficiency of the industry. Because traditional IDC has limited resources under certain cost, it is difficult to meet user needs in high data concurrent processing, big data storage and statistical analysis.

The intelligent hardware platform has very high requirements on availability. On the one hand, it is necessary to ensure that the end user can control and query the intelligent hardware in real time at any time and anywhere. On the other hand, it is necessary to ensure that the intelligent hardware data is uploaded to the platform in real time. Unusable networks and platforms can cause serious losses and accidents. Customers in the traditional IDC to build a high-availability platform, need to consider the same city disaster recovery, off-site disaster recovery, dedicated lines, etc., need to invest a lot of resources and technology to get the corresponding protection.

The reliability and security of the intelligent hardware platform is very important for both the end customer and the intelligent hardware manufacturer. If the data leaks or is remotely cracked, the consequences will be very serious. The main resources and R&D capabilities of intelligent hardware developers are generally concentrated in the intelligent hardware business application layer. If you want to ensure the security of the entire system, you need to invest a lot of resources and technology to get the corresponding protection.

In response to the above challenges, Alibaba Cloud proposed an intelligent hardware platform solution based on cloud computing big data. The solution architecture is as follows.

Solution architecture interpretation:

The hardware device consists of an MCU, an OS on the MCU, various sensors, WIFI/Bluetooth/3G/4G, and other networked communication modules and applications. The hardware device has two access modes. The first one is to access the gateway through the network communication module, complete the data transmission and reception through the gateway, and finally forward the data to the cloud platform or the mobile terminal. The second is that the hardware device directly connects to the mobile phone to perform local connection, and the data exchange includes operations such as distribution network.

In order to ensure the stable and reliable operation of the intelligent hardware platform, a highly reliable and high-concurrency gateway is built on the cloud, and the general protocol is used to enable the hardware device, the mobile terminal, the Internet of Things area and the service area to implement message transmission and forwarding, thereby ensuring the entire platform. The news is smooth.

The mobile terminal can communicate with the hardware device through direct connection, and can also send and receive data through the gateway on the cloud to communicate with the service area or other hardware devices. The mobile terminal can perform functions such as device registration inquiry, data storage, data receiving and pushing, data processing, and control command transmission.

The data push and receive service can be built through the Ali Cloud Server (ECS), which can send or receive data of the hardware device through the message push service in the gateway on the cloud, or directly send or receive data through the TCP long connection. Application services provide services such as device registration, data processing, and user-defined rules. The processed data is sent to the big data area. The entire IoT area uses load balancing (SLB) and horizontally scalable cloud servers to ensure high concurrent data collection reliability.

The service area constructs a data push and receive service through the ECS. The service can send or receive data of the mobile terminal through the message push service in the gateway on the cloud, or directly send or receive data with the mobile terminal through a protocol such as HTTP. Application services include processing of user requests and processing of operator requests. The user request processing will match the target hardware, transfer the business data according to the requested parameters, complete the data subscription and distribution of the business system, realize the control of the intelligent hardware, and push the user's behavior data into the big data area for corresponding processing. For the operator to request processing, including viewing the running status of the device, querying the statistical analysis report, including the after-sales service status, online diagnosis, sales status, and pushing relevant customer personalized information.

The collected massive hardware device data and user behavior data are stored in Alibaba Cloud to provide Open Structured Data Service (OTS) or Distributed Database Service (DRDS) to provide real-time query service for business area applications. The final data is synchronized to the Open Data Processing Service (ODPS) or Analytical Database Service (ADS). Combined with the data analysis model, statistical analysis and various predictions of related services are performed in ODPS. Achieve complex online real-time query statistics through ADS.

Alibaba Cloud platform has multiple nodes in the country, and one node has multiple computer rooms. The intelligent hardware platform can implement disaster recovery in the same city or in different places through the configuration of the cloud service to improve the reliability of the service. Based on the high concurrent processing capability of the cloud computing platform, combined with the distributed architecture of the application system, it has the ability to provide services to tens of millions of simultaneous online hardware devices, operators, and users.

Alibaba Cloud Security combines the powerful data analysis capabilities of Alibaba Cloud's own computing platform to build a deep protection system covering the network layer, system layer, application layer and data layer, covering the whole process of resisting network attacks, including providing up to hundreds of G. Anti-DDoS attacks, network intrusion detection, web application protection, host intrusion prevention, as well as vulnerability detection, Trojan detection and other security services.

On-demand use and volume-based billing of cloud computing platforms effectively reduce the cost of users. Out-of-the-box and well-established management platform features greatly reduce operating and maintenance costs.

The cloud platform has multiple data analysis services and powerful computing resources. By introducing various algorithms, models, and a variety of data, it is possible to efficiently mine data and generate greater business value.

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