In recent years, the development of the new generation of information technology has advanced by leaps and bounds, and the Internet has expanded rapidly from the consumer field to the industrial field. From the perspective of digital industrialization, the industrial Internet needs new technologies, products and solutions if it wants to develop to a larger scope, a deeper degree and a higher level. As a focus on research and development of enterprises of the construction of the intelligent network scene, love fast relying on the basis of edge network, computing and storage, content management capabilities, further exploration and practice in the field of the Internet industry, actively with Internet companies, industrial companies, such as cooperation, provide industry system interconnection and data exchange with strong support.

At present,
Love fast and YOMO reached a deep cooperation, hand in hand to promote the application and development of the industrial Internet in various fields. With the help of Docker plug-in in Aikuai routing system, developers can directly deploy Serverless applications written based on the open source YOMO Framework in the Aikuai router, provides edge computing power to industrial users in the simplest way, and helps users to build real-time computing applications of the Internet of Things with low time delay on the premise of ensuring data privacy security.

After more than ten years of development, the traditional IoT architecture has formed the formula of “first drop, then calculate” :

Look at the infrastructure of today’s computing architecture: cloud computing has brought higher computing intensity, 5G and all-optical networks have introduced deterministic delay and large bandwidth, CDN and cloud native have supported the distribution of computing power to the town level. Now, autonomous driving, digital twinning, Immersive Technology and other new technologies have entered a period of rapid development, and new business forms have emerged for these “new data generated outside the data center”. The new computing architecture has entered a period of fragmentation — the distinction between online real-time data computing and offline data processing, and the ability to focus on continuous iteration of business systems:

This paper takes the actual application of the “noise sensor” in the industrial Internet as an example, and introduces how to realize the real-time early warning and monitoring of noise quickly with low cost.

“Left hand products, right hand costs”

In the process of enterprise digital transformation, customers purchase products, but in the Cost accounting, they pay attention to TCO (Total Cost of Ownership), which is defined as: “Total cost of ownership (TCO) is a financial estimate intended to help buyers and owners determine the direct and indirect costs of a product or service. It is a management accounting concept that can be used in full cost accounting Or even ecological economics where it includes social costs. “To put it simply: TCO can be described as the sum of the acquisition cost of an asset and the cost incurred during its entire life service cycle. TCO is not the same as the purchase cost of the asset, it also includes the cost of operating and maintaining the asset after the purchase.

The maturity of cloud computing allows the Internet of Things to “spring” local computing onto the cloud, as does the success of SaaS, which reduces equipment acquisition costs and depreciation amortization for companies. The industry began to focus on three issues:

(1) Some businesses sensitive to data security still need some in-house computing

(2) How do thousands of IoT devices ensure the stability of the time delay on the cloud?

(3) Overall architectural complexity and scalability determine the cost of the full life cycle

One hard and one soft, stable and safe

Aikuai router supports Docker container technology. When Internet of Things devices are connected to the network through Aikuai, services developed based on YOMO can be deployed on the router to realize low delay, high reliability and high security protection of data long-distance transmission.

Simple Tutorial Steps

Install the Docker plug-in

Install Docker plugin directly in the plugin market. For the detailed tutorial, please click “Plugin Management”.

Add a mirror

The Docker plugin supports both local uploads and mirror library downloads. Let’s talk about how to add images to your router via these two methods.

Local upload

This upload method is the fastest, first build and package the image file, and then upload to the router’s file system.

To upload our image file, follow these steps:

“Disk Management” –> “File Management” –> “Select directory to save” –> “Click to upload” –> “Select local file” -> “Upload successfully” –> “View path” -\> “Copy”

This will copy the path in the router where we uploaded the image, such as /cc/images/noise-source.tar

Add a mirror

“Plug-in management” –\> “docker” –> “mirror management” –> “add” –> “select reference path” –> “fill in file path: /cc/images/noise-source.tar” –> “confirm”

After a short wait, you will be prompted with the following successful image:

This is the fastest way to upload, but for real deployments, mirrored libraries are more practical.

Mirror Library Download

With the yomorun/noise-source:latest image built, the next step is a little easier, mainly uploading the image to hub.docker.com and downloading it from your router.

Back at the router, we can download the mirror library using the following steps:

“Plugin management” –\> “docker” –> “mirror management” –> “add” –> “select mirror library to download” –> “search yomorun to list related containers” –> “select yomorun/noise-source” –> “download”

When you are done, you can view the downloaded image

Create a container

Here are the steps:

“Plug-in management” –\> “docker” –> “container list” –> “add”

Fill in the information as shown below

In advanced Settings, configure business-related environment variables:

Returning to the container list screen, you can see the container in action

** effect small video ↓↓↓**

Click to see the effect

Based on the general trend of industrial Internet development, iKuai will gather strength upward, forge ahead, adhere to the strategic layout of the basic network center, edge computing and storage center, Internet of Things management center three centers, actively carry out the optimization and improvement of industrial customized business needs, accelerate the in-depth integration of information and industrialization.

YoMo profile

YOMO is an open source programming framework, built for low delay streaming data processing in the field of edge computing. Its bottom layer is based on the core communication layer of HTTP 3.0 IETF QUIC protocol, which will soon become the world standard. Functional Reactive Programming is used as the Programming paradigm to facilitate developers to build reliable and safe real-time calculation applications for time-series data, and optimize for 5G and WiFi-6 scenarios to release the value of real-time calculation.

Noise sensor acquisition and monitoring system

Curious about the Yomo application deployed above and want to take a closer look at the full example? Click on the link below and you’re welcome to give us your feedback!

YOMO is applied to develop a noise sensor acquisition and monitoring system