Hello everyone, I am very happy to participate in the "Edge Calculation Frontal Practice" series of rice, this series of public classes focuses on the application cases of rice dynamics in edge computing practice, and prospects to the edge computing technology route.
This issue will focus on the application of edge calculation in smart plants. My name is Su Jun, is the cto of rice.
01, what is the utilization of rice?
As a video-assisted AIOT edge solution provider, rice power is committed to solving all problems encountered during the batch landing process for edge computing scene users.
HardwareMilin power provides a variety of low-power, different powerful hardware computational products for different scene requirements.
Software aspectTo provide hardware users with a variety of free value-added services such as remote system upgrades, bulk burning tools.
At the same time,Part of the sceneMiwen’s power also provides a complete solution of clouds, clearing obstacles to customers, solving the final artificial intelligence scenes.
Therefore, if you want to solve a edge problem, your questions will be answered in rice.
Today, I will combine the actual application scenarios, and everyone to explore the application of the edge AI in the intelligence of the factory.
02, the development trend of smart plants
The concept of smart factory, the earliest industry 4.0 proposed by Germany, generally equipped with the following characteristics:
The first is the digitalization of the factory, can automatically monitor the device, the management of information resources, and information services to the user;
Secondly, the equipment status is monitored by Internet of Things technology, which combines Internet network technology, information management and information service technology;
Based on these technologies, information-based energy saving and consumption consumption is realized, and the purpose of achieving green intelligence.
03, pain points applied in smart plants
For the goal of factory wisdom, it will always fall to the essence of factory production, such as:
How to shorten the order production time?
How to improve product quality, reduce manufacturing costs?
How to reduce inventory?
How to control the human cost of production and management?
How to monitor production site?
How to make production management transparency, visualization, can be quantified?
How to provide complete, accurate manufacturing data?
How to effectively control product quality?
04, the edge application inside the wisdom factory
Of course, there are many solutions to these problems, and in the edge computing application of rice dynamics, it will mainly involve the following aspects:
Industrial Quality Inspection: Find out the defects caused by the product in the production process, classify the product itself, main purpose is to strengthen the control of product quality, improve quality inspection efficiency, transparent, visualization, and quantification of quality inspection Management.
Safety production: refers to the production activities, in order to avoid the accident prevention and control measures to avoid personal injury and property loss accidents, ensure the personal safety and health, equipment and facilities of employees, and the environment is protected from damage. .
Wisdom operations: including safety production, but broader, the purpose is to make the information related information transparent and visualize.
existIndustrial quality inspectionAs shown in the figure, it is a feather grading application in partners. In this system, there will be 21 different levels of different grades of feathers.Its accuracy exceeds 98%, and the operational efficiency is 100 times that of manual detection.
This type of application scenario has highly requested the efficiency, real-time and response speed, and is usually high temperature, high humidity in industrial quality inspection. It is, with the company’s industrial specifications and powerful computing power of rice power EVO Xavier, it can achieve such high efficiency.
In terms of safety productionUsing the factory’s existing monitoring camera, whether the employee wears a hard hat, whether it is detected in violations such as smoking in the factory, timely warning fireworks, gas leaks and other safety accidents.
Smart operations often contain safe production, but the range is wider.
In the wisdom operationIt is necessary to confirm that the personnel entering the warehouse, performs perimeter inspection on the important area of ??the factory, and inspects whether the workers work is qualified, and the employees are departed, and the monitoring of sleeping posts. These are all could not data or quantifically, and now you can provide more dimensions for operational decisions by dataization.
05,Edge VS cloud
Maybe someone will ask, these things seem to be made through the cloud, what is the benefit of using the edge of the edge?
A comparison is carried out for the dressing (such as safety cap detection, hand suit compliance, etc.) to simultaneously access 15 channels.
Divide costs into hardware costs and communication costs
In terms of hardware costs, it is also 30T computing power, and it takes 28,000 / year’s high cost in the cloud. At the edge of the edge, only 12 million / year, while enjoying the three-year warranty,Cost difference reached 7 times.
In terms of communication costs, it is assumed that the data path is free. One minute needs to upload a 1M data to the cloud.The communication cost that needs to spend approximately 100 yuan.. And the cloud program, due to the cost of video traffic, it takes 6,000 yuan.
06, embedded edge VS desktop GPU
Of course, the cost of clouds and ends has long been self-evident.
However, in many applications, users use the GPU of the desktop as the edge computing equipment, the embedded edge devices provided by the desktop GPU and rice power supply?
Taking industrial vision as an example, comparison from both power costs and downtime probability.
Petitude is electrified: 0.725 yuan per degree, 12 hours of full load. Due to power differences, in terms of electricity cost, use Jetson Xavier embedded and using desktop GPUs, the gap is large, the year is 600 yuan, but for an expensive testing equipment, 600 yuan is completely what.
Industrial use scenarios: We found that workers’ switchgear operations will not be carried out in accordance with the manual, press the power button to use the most habitual use of them. This habit has caused the maintenance probability to make both gaps more than 20 times.
For equipment manufacturers, this is an additional maintenance cost; for factories, it will face the loss caused by stopping.. This is where we think is the largest difference in embedded edge devices and desktop GPUs.
We will look at the difference between desktops and embedded GPUs in terms of integrity:
In this figure, we can see that the left half of the Y-axis is an embedded edge device, that is, the Jetson series, the right half of the Y-axis is usually the graphics card.
It can be seen that so far, even the strongest embedded edge device – Jetson AGX Xavier, its strength is just a brother relative to the graphics card on the right, is only equivalent to the previous 1050Ti graphics card.
The poor of the force is one of the reasons why the embedded edge equipment is currently used in industrial scenarios. However, everyone can see,ORIN’s emergence has brought very huge changes to the entire pattern..
Although its computational power is still not as follows, the power consumption of 3080Ti is 350 watts, while ORIN is just an embedded device.
In this case, the force problem of embedded edge devices is no longer a big problem, butHigh reliability, strong energy savingThe advantages will continue to keep it.
Therefore, the application of embedded edge devices in the future industry will be more extensive.
07, the exploration of rice power in the smart factory scene
In order to make the edge calculation in industrial scenes, it is more likely to land.End users who have business needs, rice power and partners jointly launched a series of tools and products that are closer to application practices..
In terms of industrial quality inspection, there are very many small parts in industrial requirement, and Miwen Power Joint Partners Commentary provides a one-stop solution for industrial quality inspection. The standardization machine is launched.
For parts such as seals such as seals, screws, lamp holders, buttons, this standardized machine can be used to effectively detect, and only a small transformation is required, and it can be docked with the current production lines, and a set of " Fool "training tools to help users perform rapid tuning.
Similarly, in the factory scene, due to the very sensitive production process data, a large number of customers want themselves to hold this data to ensure data security.
Based on this consideration, we provide the following models with our partners:
Firstly, the common model is preset, enabling users to perform fast verification.
At the same time, support users to perform scenario selection and model design, allowing users to perform quick validation without giving data.
In the industrial sector, how to use a small amount of data to achieve the best effect is still a technical challenge, and the user does not exclude the user in the case of using our model, it is still unsatisfactory. Based on this requirement, rice dynamics also provides custom algorithm services to provide users with algorithms.
In a variety of modes, the user data security is not only protected, but also meet the performance requirements of different levels of users.
These tools are for users who ultimately have business needs.
Provide a series of easy-to-use software tools for developer user needs
Demand 1: Remote operation of the dispersed edge device
The application scenario of the edge calculation is usually very dispersed. For development types, customers who serve their customers are often far away from the city, relatively dispersed. When remote maintenance is required, they have to pay more high travel and human costs, so they want to be able to pass remotely as much as possible. True question.
These pain points and demand for users,Miwen’s power independent research and development cloud management platformThis platform is managed by enterprises. The information of different enterprises is isolated from each other and can simultaneously supervise different projects and various devices in each project.When the user needs remote maintenance, open the remote access function (green icon), click to jump to the device interface, you can view the device usage statusYou can also use the web terminal to make a more in-depth command line debug.
It is worth noting that in addition toThe user has permission settings, view, modify the username and password of the device, anyone includes merit power, there is no need to set up, check the accountIt greatly guarantees the security of equipment data.
In addition to remote operation and maintenance,The platform can also remotely monitor the CPU usage, hard disk usage, temperature, etc.. The hard drive is often the main reason for the problem of users. If the hard disk is full, the system cannot start, the remote monitoring function can effectively view the abnormal state, timely alarm, and make the corresponding countermeasure. As shown above, both the hard disk and the CPU have a sharp concave, indicating that the device is restarted at this point in time.
at the same time,Big screen display function is also availableIt is convenient for users to control the equipment in the project.
Demand 2: Application and model deployment, update
Milin motivationProvide graphical batch burn toolsIt can simultaneously support multiple devices to burn and mirror clones, and users can issue themselves from the volume of the containers and models.
Demand 3: Need a large number of engineers to customize development
Take the remote monitoring production site as an example, develop this function requires embedded engineers, front-end engineers, backend engineers, etc. Users who have limited resources have more hope that they can focus on the part that is really good, this part may be business functions, or the algorithm performance.
The video is an example of the production management system used in our company, showing rice powerBox, ready-to-use platform functionHelp users better integrate artificial intelligence with their business systems, speed up the speed of the project.
This production management system can remotely detect intrusion, fireworks, temperature and humidity sensor data, etc., system background reception, record, analysis of abnormal data, and further manage the library. In addition to providing a similar set of outlookable features in addition to different users’ needs, Milin Dynamics can also be passed directly to users, or allow users to upload their own algorithms themselves to quickly verify their algorithms.
08, the future calculation
Let’s discuss the future of the edge calculation.
As we all know,Next year NVIDIA will release the Embedded GPU of Orin.
For Xavier, in the CPU, ORIN’s CPU core is 50% more Xavier, and the single core performance will have further improvement. The CUDA core of GPU is 4 times that of Xavier, and the force reaches 254T, close to 3080ti and 3090. The level, although the memory bandwidth is not as good as Apple’s latest IMAX (400GB / s), but also reached an amazing 200Gb / s, it is possible to play the GPU computational performance very well.
Under the bonding of this chip, more industrial scenes will solve faster, and that is the top peak of embedded GPU?
No, let’s take another picture.
Atlan is the chip that NVIDIA announces that the chip is being developed. The power will reach 1000T, and 1000T is 4 times the most powerful 3090 desktop video card. Therefore, from ORIN, the performance of the edge calculation will be improved. At the same time, in various applications of the edge, it is no longer using SOC designed specifically for the data center, but has a strong powerful new chip specifically suitable for edge scenarios.
This change will push the edge application to a higher dimension, in the scene calculated,Use chips and programs designed specifically for edges to the future of the edge.
My sharing content is over, thank you for your listening.