More edge computing, intelligent manufacturing please public concern No. edge computing community [] and [] intelligent manufacturing community.
Dear students, the Dragon Boat Festival holiday enjoyable later, eat dumplings, and today it is something new something.
He says fresh, in fact, not fresh, and there is edge calculate the term of ten years ago, but with the development of the Internet of Things, edge computing is once again carry out.
concept
According to the name, we can guess, the edge computing is the calculation and analysis performed in the local vicinity of one source close to the data terminal equipment. Because it is near the terminal, our computational efficiency will be higher.
Essentially, edge and cloud computing are designed to handle data and calculation of the birth, but in different ways to achieve both. Cloud computing is to concentrate to make calculations with the data, and the edge calculation is calculated at a terminal. So cloud computing compared to what advantage?
We can see from the drawing out of the cloud to be transmitted over the network and respond to all data, and the edge calculation processing on the data may respond in time edge device, while the post-processing of valuable data to the cloud.
For chestnuts
Examples of data from GE official website
Now driverless car, there are hundreds of sensors, each driving eight hours will have 40TB of data, most of these data is not important, and so generally the amount of data to the cloud is impractical . Edge computing a good solution to this problem, the first local computation for the important results and then uploaded to the cloud.
From this we can see chestnuts in it?
Unmanned, requires a system with real-time response capability, you can imagine, if the system does not react in time, on the road to what kind of consequences will result. So here it reflects the real-time and the need for edge computing.
Such a large amount of data must contain a lot of useless data to be transmitted to all the cloud is impractical, to calculate the edge just to solve this problem, after computing the cloud reached important results, a significant reduction in bandwidth resources.
Of course, instead of to the edge of the cloud computing it is not, but rather as a supplement cloud. Because the result of calculation of the edge will still be sent to all or part of the cloud storage for analysis.
Mobile computing edges (MEC)
I have to mention here MEC, 5G since the arrival of the era of our mobile lives will be changed further. Future communication base stations will have the computing power, we use the mobile phone APP will be calculated at the base station nearby, I believe will bring us faster experience.
Intelligent Manufacturing Applications
The purpose is to realize the wisdom of intelligent manufacturing factory, the machinery and equipment with self-awareness. Instead of doing so to make a decision. How to achieve this object, the edge is a good means calculates, the AI platform, machine learning algorithm run by other devices deployed around the edge, the edges of a machine, a computing platform brain, calculation and analysis of the data from various sensors later robot to determine whether the state is normal, and what action to perform.
With the deepening of intelligent manufacturing, more and more networking equipment, more and more data is generated, the edge computing devices will gradually spread to process the data. Meanwhile, the ultimate goal of intelligent manufacturing, self-aware artificial intelligence capabilities of the device is required (AI) algorithms to make decisions, while the production of high real-time requirements of the site control device, so that the future of these algorithms is definitely up at the edge computing device and thus real-time control devices, and truly become the brain of the device.
More edge computing, intelligent manufacturing please public concern No. edge computing community [] and [] intelligent manufacturing community.
Dear students, the Dragon Boat Festival holiday enjoyable later, eat dumplings, and today it is something new something.
He says fresh, in fact, not fresh, and there is edge calculate the term of ten years ago, but with the development of the Internet of Things, edge computing is once again carry out.
concept
According to the name, we can guess, the edge computing is the calculation and analysis performed in the local vicinity of one source close to the data terminal equipment. Because it is near the terminal, our computational efficiency will be higher.
Essentially, edge and cloud computing are designed to handle data and calculation of the birth, but in different ways to achieve both. Cloud computing is to concentrate to make calculations with the data, and the edge calculation is calculated at a terminal. So cloud computing compared to what advantage?
We can see from the drawing out of the cloud to be transmitted over the network and respond to all data, and the edge calculation processing on the data may respond in time edge device, while the post-processing of valuable data to the cloud.
For chestnuts
Examples of data from GE official website
Now driverless car, there are hundreds of sensors, each driving eight hours will have 40TB of data, most of these data is not important, and so generally the amount of data to the cloud is impractical . Edge computing a good solution to this problem, the first local computation for the important results and then uploaded to the cloud.
From this we can see chestnuts in it?
Unmanned, requires a system with real-time response capability, you can imagine, if the system does not react in time, on the road to what kind of consequences will result. So here it reflects the real-time and the need for edge computing.
Such a large amount of data must contain a lot of useless data to be transmitted to all the cloud is impractical, to calculate the edge just to solve this problem, after computing the cloud reached important results, a significant reduction in bandwidth resources.
Of course, instead of to the edge of the cloud computing it is not, but rather as a supplement cloud. Because the result of calculation of the edge will still be sent to all or part of the cloud storage for analysis.
Mobile computing edges (MEC)
I have to mention here MEC, 5G since the arrival of the era of our mobile lives will be changed further. Future communication base stations will have the computing power, we use the mobile phone APP will be calculated at the base station nearby, I believe will bring us faster experience.
Intelligent Manufacturing Applications
The purpose is to realize the wisdom of intelligent manufacturing factory, the machinery and equipment with self-awareness. Instead of doing so to make a decision. How to achieve this object, the edge is a good means calculates, the AI platform, machine learning algorithm run by other devices deployed around the edge, the edges of a machine, a computing platform brain, calculation and analysis of the data from various sensors later robot to determine whether the state is normal, and what action to perform.
With the deepening of intelligent manufacturing, more and more networking equipment, more and more data is generated, the edge computing devices will gradually spread to process the data. Meanwhile, the ultimate goal of intelligent manufacturing, self-aware artificial intelligence capabilities of the device is required (AI) algorithms to make decisions, while the production of high real-time requirements of the site control device, so that the future of these algorithms is definitely up at the edge computing device and thus real-time control devices, and truly become the brain of the device.