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What is AIoT? Why has it suddenly become a mainstream trend in smart manufacturing?
What is AIoT? Why has it suddenly become a mainstream trend in smart manufacturing?
The combination of artificial intelligence (AI) and the Internet of Things (IoT) creates smart devices that can learn, analyze and make decisions autonomously, bringing more convenience to human life. For example, autonomous driving and smart wearable devices can be widely used in various industries
This article will briefly introduce what AIoT is. What are the key technologies required for AIoT? And what benefits can AIoT bring?
What is AIoT?
AIoT is the full English name of "Artificial Intelligence Internet of Things". As the name suggests, it combines the two technologies of artificial intelligence (AI) and the Internet of Things (IoT).
In AIoT technology, artificial intelligence The relationship between intelligence (AI) and the Internet of Things (IoT) is like the human brain and senses. The senses are used to collect surrounding information and convey it to the brain for response. Therefore, combining artificial intelligence (AI) and the Internet of Things (IoT) can achieve greater efficiency, enhance data management and analysis, and improve the interaction between humans and machines
AIoT Common Technologies and Devices
The content that needs to be rewritten is: (1) Embedded systems and sensors
Most of the traditional IoT data collection methods use sensors equipped with embedded systems. After the data is obtained, it is uploaded to the cloud through the network for calculation.
Currently, embedded systems are gradually developing toward miniaturization and intelligence, and sensors are being introduced. When an embedded device has artificial intelligence capabilities, it can be handed over to the sensor for real-time processing. The data received by the sensor does not necessarily need to be sent back to the cloud for calculation, but can be processed instantly at the edge node. This is the so-called "edge computing". It can run normally even where there is no network
(2) Cloud computing and analysis
Cloud services play an indispensable role in the traditional Internet of Things and can be divided into three types Service model, namely "infrastructure", "platform" and "software"
As the number of sensors increases, the amount of data collected is also increasing. The data analysis tools originally used can no longer cope with the speed of data growth, and human resources are limited. Therefore, the need for integration with artificial intelligence has become very urgent. With the help of the power of artificial intelligence, we can make full use of and analyze the continuously accumulated big data and achieve maximum revenue conversion
To quickly obtain computing results in big data, we usually need to use specialized workstations or servers. Computers that handle high workloads can support the performance required for high-speed computing.
(3) 5G communication technology
"High speed", "large connection" and "low latency" are the three major characteristics of 5G, among which "low latency" has contributed to the popularization of AIoT One of the keys is that the receiving end of the data can immediately receive the request from the transmitting end and respond immediately.
Benefits that AIoT can bring to enterprises
(1) Improve operational efficiency
AIoT can analyze real-time operating patterns that are invisible to the human eye and set them For operating conditions, thereby helping to optimize the production process and improve work efficiency
What needs to be improved is risk management
AIoT technology can proactively arrange equipment maintenance plans through predictive analysis to avoid equipment abnormalities or faults, thereby improving safety and reducing losses caused by equipment downtime
(3) Improving customer experience
AIoT has the ability to learn, analyze and make decisions from data, and can It continues to evolve based on the accumulation of data in order to more comprehensively analyze customer needs, provide personalized and customized services, and significantly improve customer satisfaction. After rewriting: AIoT has the ability to learn, analyze and make decisions from data. At the same time, it can continuously evolve based on the accumulation of data to more comprehensively analyze customer needs, provide personalized and customized services, and significantly improve customer efficiency. Satisfaction
Reduce operating costs
As AIoT gradually brings data analysis and computing to the edge for processing, it can reduce the amount of data transmitted to the cloud, reduce network load, and reduce communication with the cloud. Costs associated with services or cloud connectivity.
Two major tests currently faced by AIoT
(1) Perfect communication security mechanism
With the advent of an era where everything can be connected to the Internet, communication security challenges are also becoming increasingly important rise. The data processing process of AIoT can be roughly divided into several steps such as collection, transmission, calculation and decision-making. Whether on the sensing side, device side or application side, once data is transmitted through the network, it will face communication security risks. Therefore, protecting data security is the primary goal of IT, ensuring that data always maintains confidentiality, integrity and availability
What needs to be rewritten is: (2) Stable network connection
With the development of the Internet of Everything, people are becoming more and more dependent on the Internet. Although AIoT can perform computing at the edge without having to upload all data to the cloud, it still needs to rely on the network for data storage and cloud computing. Therefore, how to maintain the stability of the network and avoid power outages that cause the entire system to stop running is also an issue that needs to be paid attention to when implementing AIoT
AIoT FAQ
What is the difference between AIoT and IoT?
In recent years, IoT has become widely known, and later words such as AIOT and IIOT have been derived. What is the difference between them?
In the past, IoT technology played an important role in basic sensing, uploading collected data to the cloud for analysis, calculation or sharing, and providing reliable insight communication to assist in making actions and decisions.
AIoT is not a brand-new technology, but a combination of two mature technologies, AI and IoT. It is a new IoT application type. Through AI’s machine learning, deep learning and recognition Intelligent capabilities can be used to enhance the IoT and can also perform edge computing, so that data can be responded to immediately without going to the cloud, allowing equipment to gradually transform from "automated" to "intelligent."
(2) What is the difference between AIoT and IIoT?
We can think of the Industrial Internet of Things (IIoT) as a subcategory of the Internet of Things (IoT) for applications in the industrial field. It covers areas such as manufacturing and energy management. By installing sensors on production machinery and connecting them to industrial applications on computers via the network, this technology is the basis for realizing Industry 4.0, helping to increase productivity and accelerate the next phase of production efficiency
Rewrite Next content: Artificial Intelligence Internet of Things (AIoT) is one of the core technologies of Industry 4.0. It adds artificial intelligence (AI) technology to the Internet of Things (IoT) to enhance the functions of IoT devices. For example, through machine learning, the collected data can be further analyzed to improve production processes or perform preventive maintenance
The above is the detailed content of What is AIoT? Why has it suddenly become a mainstream trend in smart manufacturing?. For more information, please follow other related articles on the PHP Chinese website!
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