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What is the meaning of the Internet of things platform? I believe that many inexperienced people can do nothing about it. Therefore, this paper summarizes the causes and solutions of the problem. Through this article, I hope you can solve this problem.

The main capabilities of the Internet of things platform include:

Equipment access

The Internet of things platform supports a large number of devices connected to the cloud, and the devices communicate stably and reliably with the cloud through IoT Hub.

Provide device-side SDK, drivers, software packages, etc., to help different devices and gateways easily access Ali Cloud.

Provide 2G 3G 4G, NB-IoT, LoRa, WiFi and other different network equipment access solutions to solve the enterprise heterogeneous network equipment access management pain points.

The device-side SDK, which provides MQTT, CoAP, HTTP/S and other protocols, not only meets the real-time requirements of long connections, but also meets the low power consumption requirements of short connections.

Open source multi-platform device-side code, provide cross-platform migration guidance, and enable enterprises to access devices based on multiple platforms.

Equipment management

Provide complete equipment life cycle management functions, support equipment registration, function definition, data analysis, online debugging, remote configuration, firmware upgrade, remote maintenance, real-time monitoring, packet management, device deletion and other functions.

Provide equipment model to simplify application development.

Provide equipment online and offline change notification service to facilitate real-time access to equipment status.

Provide data storage capacity to facilitate the storage and real-time access of massive equipment data.

Support OTA upgrade, enable equipment remote upgrade.

The device shadow cache mechanism is provided to decouple the device from the application and solve the unreliable pain point of communication in the unstable wireless network.

Safety capability

Ali Cloud Internet of things platform provides multiple protection to effectively ensure the security of devices in the cloud.

Identity authentication

Provides a chip-level secure storage scheme (ID ²) and a device key security management mechanism to prevent the device key from being decrypted. The security level is very high.

Provide an one-machine, one-secret device authentication mechanism to reduce the security risk of equipment breach, which is suitable for devices that have the ability to batch pre-distribute ID keys into each chip. High level of security.

Provide one-type and one-secret equipment pre-burning, and dynamically obtain the equipment certificate (including ProductKey, DeviceName and DeviceSecret) during authentication, which is suitable for the situation where the equipment certificate cannot be burned into each device in mass production. The security level is average.

Communication security

Support TLS (MQTT\ HTTP), DTLS (CoAP) data transmission channels to ensure the confidentiality and integrity of data, suitable for devices with sufficient hardware resources and insensitive to power consumption. High level of security.

Supports custom data symmetric encryption channels on TCP (MQTT) and UDP (CoAP), which is suitable for devices with limited resources and sensitive power consumption. The security level is average.

Support device rights management mechanism to ensure secure communication between devices and the cloud.

Support device-level isolation of communication resources (Topic, etc.) to prevent equipment ultra vires and other problems.

Rule engine

The rule engine provides the functions of data flow and scene linkage. Configure simple rules to seamlessly transfer device data to other devices to achieve device linkage, or to other cloud products to obtain storage, computing and other services. Using the rules engine, you can:

Configure rules to realize the communication between devices, and quickly realize the M2M scenario.

The data is forwarded to the message queue (MQ) to ensure the stability and reliability of the application consumer device data.

The data is forwarded to table storage (Table Store) to provide a joint scheme of equipment data acquisition and structured storage.

The data is forwarded to stream computing (StreamCompute) to provide a joint scheme of equipment data acquisition and streaming computing.

The data is forwarded to TSDB to provide a joint scheme of equipment data acquisition and timing data storage.

The data is forwarded to the function calculation to provide a joint scheme of equipment data collection and event calculation.

Data analysis

The Internet of things platform provides data analysis services including spatial data visualization and flow computing. You can:

Import two-dimensional map or three-dimensional model, bind real equipment, and realize the visualization of equipment data in two-dimensional / three-dimensional space.

By dragging and dragging the flow computing components, the flow computing tasks are arranged, and the data analysis and processing are easily completed.

Edge computing

The Internet of things platform provides edge computing power and supports the construction of edge computing nodes at the nearest location to the device to process device data.

In the case of network disconnection or weak network, edge computing can cache device data, and after the network is restored, the data is automatically synchronized to the cloud.

Provide a variety of business logic development and operation framework, including scenario linkage, function computing and streaming computing, each framework supports cloud development and dynamic deployment.

After reading the above, have you mastered the method of what the Internet of things platform means? If you want to learn more skills or want to know more about it, you are welcome to follow the industry information channel, thank you for reading!

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