AbleClound Li Hailei: How can companies quickly build an IoT cloud platform?

On December 2nd, the 3rd China IOT Conference held by Huaqiang Jufeng's Electronic Enthusiasts Network was held at the Shenzhen Kexing Science Park International Conference Center. In the afternoon, the contents of the six sessions were equally colorful. At the iot software and hardware platform sub-forum sharing meeting, Mr. Li Hailei, CEO of AbleClound, shared with us how the enterprise made smart device cloud access devices and introduced how to build quickly and effectively. The specific solutions of the enterprise cloud platform, and how to more effectively and real-time experience of enterprise cloud platform and cloud access device monitoring and management.

Founded in 2014, AbleCloud is one of the fastest growing IoT cloud service companies in China. It has completed the IoT 5 million device access level and has cooperated with more than 200 large enterprises at home and abroad such as Haier and Yadu. In 2015, it won the 4 million yuan angel financing of Lenovo Star. In May of the same year, it completed the A round of financing, led by Xinzhongli Capital, and the angel investor, Lenovo Star, followed the investment, with a financing amount of 25 million yuan.

From the PC Internet era to the mobile Internet era, devices have grown in geometric progression. According to industry analysts, by 2020, there will be 26 to 30 billion IoT access devices on the order of magnitude. A research report from the China Development and Reform Commission shows that in the future Chinese market in 2018, the scale of smart devices will occupy 30% of the total, and the output value can reach 500 billion.

Smart bracelets, children's watches, watches for the elderly, and devices have also transitioned from the original Bluetooth devices to mobile 3G and 4G network communications. Including recent popular travel products, such as motorcycle production, and smart home manufacturing. The core technology of smart devices needs to be solved how to implement cloud computing and big data analysis.

In this regard, Mr. Li expressed a negative attitude. "For enterprises, if they join the cloud platform technology research and development, it will only increase the chain of production and increase the research and development cost for cloud computing and cloud storage. The technical difficulty is also very high compared with the general manufacturing enterprises. Big.” Internet companies have advantages in cloud platform development and big data analytics compared to traditional manufacturing companies. Even if some manufacturing companies can provide 300,000 or even 500,000 access equipment chains, after reaching the peak, problems such as data loss and link loss will be difficult to support the goal of the Internet of Things million and tens of millions of equipment chains. Demand, if continued, will lead to a series of increases in project development costs, risks, and instability.

After the terminal equipment is finished, the basic functions of basic networking, data reporting, and issuing instructions of the equipment are completed, and lack of big data analysis capability and intelligent management. Many companies follow suit, and the end result is that product homogeneity can be very serious. Therefore, for manufacturing companies, from the economic consumption, personnel research and development costs to calculate, build their own cloud platform can not blindly emulate, how to reduce the cost of research and development into the Internet of Things threshold, how to economically and effectively realize the Internet of Things access idea is the current stage Questions that need to be explored in depth.

The Matrix Cloud Integrated Development Engine provides a comprehensive development platform for customers to solve a series of problems such as device networking and remote control. Inspire big data analysis engine through big data analysis, big data storage, through the data generated in the subsequent equipment use, scientific guidance enterprises to analyze according to the summary data, to provide further guarantees for optimal production management. And there is a third-party ABLE project alliance to provide customers with a quick solution to the link between the cloud. At the same time, AbleCloud series products such as air purifiers and intelligent voice systems integrate data from various fields in the country and around the world, providing a good reference and reference for big data analysis.

First of all, the IoT terminal products provide the device basic SDK, WIFI module signal generation adaptation, and support the basic functions such as device registration, online maintenance, information transmission and reception, device control terminal, provide control APP SDK, assist device wifi configuration network, Binding, through the cloud-based server through the cluster-based distributed operating environment, can customize the cloud service deployment, and integrate AI intelligent services, and does not need to integrate additional Alibaba Cloud AI services, and can deploy business code on this basis. At the same time, the device SDK also provides a cloud management interface between the production management system and the device, and solves the problems faced by the enterprise system and the cloud access docking in one stop.

There are four main uses of the new Internet of Things technology, namely, the large-scale distributed cluster architecture of the access layer, the storage engine technology optimized by the storage layer, the high-availability system of the application layer micro-service, and the exploration direction of the artificial intelligence algorithm. The biggest difference between the Internet and the Internet of Things is that users on the Internet complete most of the operations of “reading” data, while the Internet of Things is more prominent in completing device access and realizing data analysis and integration. At the same time, IoT big data is mainly based on “write” data. Some enterprise IoT applications can achieve write speeds of 10 or even dozens of data information per second. Data storage becomes the biggest problem, and data optimization The technology engine has become a core technology that is imperative and needs to focus on the content area. In the aspect of the IoT application layer, how to implement the application layer in technology to avoid homogenization of microservices, that is, how to satisfy all kinds of application services on a single platform, and avoid the homogenization phenomenon of “one application uses one system” .

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