Qingyun qingcloud IOT platform and edgewize edge computing: smart connection to build new infrastructure

category:Internet
 Qingyun qingcloud IOT platform and edgewize edge computing: smart connection to build new infrastructure


In some traditional application scenarios, the acquisition gateway is usually used to collect data. However, due to the limitation of the total amount of industrial protocols, the gateway will be connected to more complex industrial networks, and the frequency and capacity of acquisition points will be limited. Therefore, Qingyun qingcloud hopes to bypass the acquisition gateway with the help of edge controller, so that the data on sensors and devices can be collected directly through the edge controller to the IOT platform.

The IOT platform of Qingyun qingcloud connects downward and optimizes equipment, and supports the development of IOT application upward. When building a large IOT platform, it is important to conduct unified management and control of isomerized system equipment. Wang Xiaohu, head of Qingyun qingcloud IOT products, said that in order to make the data of these devices realize the integration and data sharing of sequential devices at the IOT platform level, the master data of all devices can be guaranteed to be unified in the upper application collaboration, and the unified data interface can be used to realize cross application collaboration. The traditional method is the linkage between systems. With the sinking of edge computing, the linkage of devices, especially heterogeneous devices, can be realized.

Qingyun qingcloud IOT platform

We provide time series data analysis tools or time series flow choreography tools to further extend the IOT platform from a pure general platform to the industry business attributes. Let the industry precipitate business knowledge not only stay in the video field, but really participate in business decision-making. This is not an information-based project, but a smart one. This is the goal of Qingyun qingcloud IOT platform. Wang Xiaohu said.

This time, Qingyun qingcloud will open up a series of new capabilities such as intelligent data center, intelligent industry and intelligent transportation at the industry level, as well as IOT + asset modeling and IOT + time series analysis at the data processing level. It will work with partners to implement solutions such as controllers, collectors, sensors, AI chips, AI algorithms, etc. into different scenarios. On the industry side, Qingyun will integrate professional forces to deliver end-to-end solutions, focusing on data center, industry, transportation and construction at the initial stage. For example, in the field of data center, Qingyun will provide access to power supply and distribution, refrigeration, environment, security, access control, fire protection and other equipment in the computer room in combination with the Internet of things platform.

In terms of core functions, Qingyun qingcloud has adjusted the data model of the device, expanded around the idea of digital twin, and tried to describe the actual asset equipment in a more perfect way, and expected to continue to expand the relationship between asset modeling mappings on the basis of managing registered edge nodes, registered intelligent devices and protocol devices in the second half of the year.

Core functions of Qingyun qingcloud IOT platform

Cloud computing manufacturers are more technology driven and more open to the Internet of things platform. Although we have shortcomings in the field knowledge, Qingyun qingclouds attitude towards the Internet of things platform is to form a scenario solution by combining partners with industry knowledge and experts in relevant fields of domestic universities. Wang Xiaohu said, for customers, end-to-end delivery can obtain more data, be more open and more efficient. From the perspective of the Internet of things platform, the Internet of things infrastructure we do will be better in terms of carrying capacity and massive concurrent connections.

Edgewizes core design idea is to integrate edge computing, application, intelligence and network into an integrated edge platform, which is mainly divided into two parts: management side and operation side. On the management side, the IOT platform will provide edge computing management processes, such as sub device registration, edge data model, edge driver management, device / service / business monitoring, edge message center, edge application hybrid choreography, edge streaming data processing, etc. For the business types defined in the cloud, the runtime can be used for unified scheduling to support offline computing, local decision-making, OTA upgrade, software and hardware monitoring, collaborative deployment and other functions.

This time, Qingyun qingcloud added the visualization tool of hybrid choreography for edgewize edge computing to support multi-modal edge services. In the future, it will support data stream choreography and FAAS services. If it is for massive IOT edge nodes, it can be deployed in batch through one key release. In addition, Qingyun qingcloud pushes cloud AI to the edge side, strengthens the independent decision-making ability of edge computing node equipment, and tries to combine sd-wan and edgewize to solve the problems of network access and management. At the same time, Qingyun qingcloud also adapts to high pass (5g), Cambrian (AI) and Intel Vpu (edge).

In the building project in Suzhou, limited by the industrial network protocol, the current information acquisition frequency of traditional building control monitoring is high, which is basically minute level. Qingyun qingcloud cooperates with partners to deploy the edge controller network. By adapting the IOT protocol, the data can be directly uploaded to the IOT platform, which can realize the second level acquisition frequency. In addition, the scheme controls all the devices in the camera and conference room, and realizes the linkage of heterogeneous devices by using edge computing hardware. By directly going to the cloud and executing the strategy and logic on the edge side, it can define and distribute in the cloud visualization definition platform, which reduces the use cost.

In the field of intelligent transportation, with the help of sd-wan + edgewize solution, the camera installed on the gantry can not only identify the license plate, vehicle type and color of the vehicle, but also realize real-time billing and deduction. The original way of controlling the machine by the ancestors has become a dialogue between machines. We can put applications of various traffic scenarios in the box of edge computing, and the applications are decoupled. Any application can be defined and distributed at any time as long as the basic computing power is sufficient. Wang Xiaohu said.

In the field of smart industry, Qingyun qingcloud provides a point table manager for OPC and modbus, which supports the import and automatic acquisition of point tables. In addition, the data can be mapped between the edge of the model and the edge of the data table. Usually, the scale of industrial level point table is large. Before accessing 5g network, optical fiber network and Ethernet network bear great pressure. In a process oriented enterprise, the industrial control network acquisition frequency will be very fast, up to millisecond level, but when it comes to the upper business monitoring system, the frequency will drop down, about 5-10 seconds, and discrete manufacturing may be higher. In this case, we use edge computing to directly provide the determined data, which can relieve the network pressure, Wang said

Through its layout in the field of Internet of things, Qingyun qingcloud can build an integrated cloud network edge architecture, build a Guangyi cloud infrastructure, and enable the construction of IOT application ecology. When the cloud platform integrates the technology of optical grid network sd-wan intelligent wide area network, it can use edge computing to extend the capacity of data center to the user side, and cooperate with partners to launch solutions for different industry scenarios. For Qingyun, the Internet of things is to help us better improve the infrastructure coverage capability of Qingyun as an infrastructure provider, and gradually improve the accumulation of Qingyun in the industry. In the future, the Internet of things can also carry more emerging applications, as well as the grafting of new technologies and industries. Edgewize edge computing can interact with the container platform to derive many new containerized application architectures, such as FAAS. From the new concept, new stack and new development framework of application development, edgewize can deeply connect with the industry and rapidly promote the practice of new fields. Chen lie said. Source: editor in charge of mass news: Chen Tiqiang_ NB6485

For Qingyun, the Internet of things is to help us better improve the infrastructure coverage capability of Qingyun as an infrastructure provider, and gradually improve the accumulation of Qingyun in the industry. In the future, the Internet of things can also carry more emerging applications, as well as the grafting of new technologies and industries. Edgewize edge computing can interact with the container platform to derive many new containerized application architectures, such as FAAS. From the new concept, new stack and new development framework of application development, edgewize can deeply connect with the industry and rapidly promote the practice of new fields. Chen lie said.