AIoT stands for AI+IoT, which refers to the integration of artificial intelligence technology and the Internet of Things in practical applications. At present, more and more industries and applications combine AI and IoT. AIoT has become the best channel for the intelligent upgrade of major traditional industries and an important direction for the development of the Internet of Things in the future.
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AIoT
AIoT stands for AI+IoT, which refers to the integration of artificial intelligence technology and the
Internet of Things in practical applications. At present, more and more industries and applications
combine AI and IoT. AIoT has become the best channel for the intelligent upgrade of major
traditional industries and an important direction for the development of the Internet of Things in
the future.
As more and more companies list AIoT as one of their main development directions, AIoT has
become a buzzword in the Internet of Things industry and frequently appears in the public eye.
AIoT stands for AI+IoT, which refers to the integration of artificial intelligence technology and the
Internet of Things in practical applications. At present, more and more industries and applications
combine AI and IoT. AIoT has become the best channel for the intelligent upgrade of major
traditional industries and an important direction for the development of the Internet of Things in
the future. Thanks to the development of AIoT, the future scenes in science fiction movies are
constantly approaching our lives.
1. Why does IoT need AI?
The ultimate goal of the Internet of Things is the intelligent connection of all things. Connecting
all devices to achieve the interconnection of all things. The simple interconnection of all things
lacks meaning. Only by giving it a brain can the real connection of all things be realized and the
great value of the Internet of things can be realized.
AI technology can meet this demand. Through the analysis and processing of historical data and
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real-time data, AI can more accurately predict future equipment and user habits, make the
equipment smarter, and improve production efficiency and enrich user experience.
Therefore, only AI can effectively process the complex data generated by the Internet of Things,
thereby improving the user experience and product intelligence, and the data that is essential to
AI can only be continuously provided by the IoT, and the massive amounts of continuous
provision through IoT Data allows AI to quickly acquire knowledge. On the one hand, the
ultra-large-scale data through the Internet of Everything can lay the foundation for AI in-depth
insights. On the other hand, AI with deep learning capabilities can accelerate the application of
the Internet of Things industry through precise algorithms.
When integrated with AI technology, the potential of the Internet of Things will be further
released, thereby changing the existing industrial ecology and economic pattern, and even
human life mode. AIoT will truly realize the intelligent Internet of Things and will also promote
the development of artificial intelligence to applied intelligence.
2. The development path of AIoT
Like many new things, the development of AIoT is also a gradual process. At present, the
development of AIoT will go through three stages of stand-alone intelligence, interconnected
intelligence, and actionable intelligence.
2.1 Single machine intelligence
As the name implies, in the stand-alone intelligent stage, the smart device and the device cannot
communicate with each other, and it is necessary to wait for the user to initiate an interaction
request. In this situation, the stand-alone system needs to accurately perceive, recognize, and
understand various instructions of the user, such as voice and gestures, and make correct
decisions, executions, and feedback.
At present, the development of AIoT is at this stage. If you compare it with the mobile phone
industry, stand-alone intelligence has realized an important transformation from a feature phone
to a smartphone, and users can change from key-press operation to implementing some basic
functions through voice and other means.
However, smart items that cannot be interconnected are just islands of data and services, which
are far from meeting people's growing needs, and stand-alone smarts are in urgent need of
innovation.
2.2 Connected Intelligence
The interconnected smart scene refers to a matrix of interconnected products, using a brain
(cloud or central control) and multiple terminals (perceptrons). Interconnected intelligence has
broken the island effect of single product intelligence, and has continuously upgraded and
optimized the intelligent experience scene.
To give a few examples in actual experience, when the user tells the air conditioner in the
bedroom to close the curtains in the living room since the air conditioner is connected to the
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smart speaker central control in the living room, they can discuss and make decisions with each
other, and then make the speaker close the living room curtains Or when the user speaks the
sleep mode to the air conditioner in the bedroom at night, not only the air conditioner is
automatically adjusted to a suitable temperature for sleep, but also the TV, speakers, curtains,
and lights in the living room will automatically turn off. This is a typical interconnected smart
scene that uses cloud brains and multiple sensors to land.
But interconnected intelligence is not the end. From a development perspective, it still has room
for progress. The real goal of AIoT is to achieve automation and intelligence.
2.3 Active Intelligence
Active intelligence means that the intelligent system is on standby at any time based on user
behavior preferences, user portraits, environment, and other information. It has self-learning,
self-adaptation, and self-improvement capabilities, and can actively provide users with services
without waiting for users to make demands. Compared with interconnected intelligence, active
intelligence truly realizes the intelligence and automation of AIoT and brings great changes to life.
The pictures in these movies are not far away and are the ultimate goal of the development of
AIoT's active intelligence. AIoT will maximize the advantages of AI and IoT, and truly change our
lives.
3. Main application scenarios of AIoT
In the past few years, the development of AIoT has been rapid. Up to now, AIoT has been widely
used in smart homes, smart cities, smart security, and industrial robots.
3.1 Smart home
Smart home is designed to connect various devices in the home through the Internet of Things
technology and provide a variety of control functions and monitoring methods. Compared with
ordinary homes, smart homes not only have traditional residential functions, but also have
functions such as network communication, information appliances, and equipment automation,
providing a full range of information interaction, and even saving money for various energy costs.
The current smart home connects the smart devices inside the home through a local area
network to realize some automatic control functions. Compared with the past, this seems to have
made life very smart. But AIoT will give real intelligence to smart homes. Part of AIoT research is
to turn home automation into home intelligence.
Smart homes empowered by AI can automatically adjust the external feedback of the entire
smart home system through learning and analysis of user behaviors, and provide users with a
dynamic control model. Imagine that after the data captured by the IoT system is analyzed by the
AI chip, the user’s habits can be grasped and stored in the form of instructions. The entire set of
calculations can be completed without the user’s awareness. The correct instruction feedback
can be used when needed. A more complete user experience that users feel.
AIoT will bring a new smart home experience when the smart system can think independently
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and interconnect with other smart devices around it and has the ability to call each connected
device. The system will collect the data of each connected device and use it with users Habits,
behavior habits, and health status are compared to actively help the owner deal with various
things and even solve problems creatively.
3.2 Smart City
Smart cities aim to use various information technologies or innovative ideas to integrate the city's
composition systems and services, improve resource utilization efficiency, optimize city
management and services, and improve the quality of life of citizens. Smart cities are the
mainstream form of cities in the future, and the Internet of Everything is only the basis of urban
intelligence. With the blessing of AI, cities will have "smart brains" to add smart elements to
cities and maximize urban management.
AIoT can create a new model of urban refinement and truly realize an intelligent and automated
urban management model. AIoT relies on smart sensors, communication modules, data
processing platforms, etc., with cloud platforms, smart hardware, and mobile applications as its
core products, and reduces the size of the complex city management system into multiple vertical
modules to serve people, urban infrastructure, and cities Management, etc. establish close ties.
With the powerful capabilities of AIoT, cities are truly endowed with intelligence, such as
intelligent adjustment of traffic lights, etc. The city will understand people's needs better and
bring people a better life experience.
3.3 Smart Security
At present, a single security data is no longer sufficient to solve security problems. A system
lacking multi-dimensional data collisions only achieves a single point of intelligence. What's more,
the current security system is not friendly and inefficient. The addition of AIoT can better solve
these problems. Bring new vitality to smart security.
First of all, smart security with the help of AIoT has higher value in home security, fire protection,
safety of elderly people living alone, or pet care. In addition to strengthening the audio control
function, AIoT can also synchronize the integration of audio and video. In addition, it can also
communicate with audio and video, bringing upgrades and added value to security equipment.
Secondly, in the field of national disaster prevention, AIoT is also very useful.
In recent years, the government has promoted smart disaster prevention, widely popularizing
smart impact analysis, central control platform, and wireless transmission and storage. Smart
security combined with AIoT technology can be monitored. Or early warning of mudslides, rivers,
dams, and bridges, etc., so that intelligent security can truly benefit people’s safety. In addition,
in the AIoT era, the security industry intersects with the transportation industry. Using AIoT
technology, whether it is audio and video technology, core intelligent algorithms, big data, etc.,
intelligent security can fully benefit traffic intelligence.
As a key bridge between artificial intelligence and specific scenarios, the Internet of Things, with
the evolution of AIoT technology, is increasingly creating possibilities for a better life.
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3.4 Industrial robot
AIoT still has very broad application prospects in the industrial field, the main one being the
application in the field of industrial robots.
In the industrial era where automation is popular, the production process opportunities are
completely automated, robots have a high degree of self-adaptability, and the Industrial Internet
of Things will realize the intelligent interconnection of machines with the assistance of AIoT. In
addition, AIoT can also help managers to control more freely, especially in some industrial
hazardous areas, where robots are used instead of labor to further play the role of AIoT.
In the future, industrial production will be further intelligent, and industrial robots will be more
widely used. With the support of AIoT, robots and industrial equipment are fully interconnected,
and relevant data can be processed continuously in real-time, thereby further improving
efficiency and reducing costs.
4. AIoT still has some problems
IoT is the general trend of the future, but the large-scale data analysis it brings is beyond human
resources, and the inability of data to be transformed into meaningful information becomes
meaningless. AI technology just plays an important role in processing data and solves the
important difficulties of IoT. The data obtained through the Internet of Things has also become
the nutrient of AI. The integrated AIoT can also further improve the current technological
ecological environment. The future of AIoT is very bright, but there are still some problems and
obstacles.
4.1 Security issues
AI systems and the Internet of Things will continuously collect and analyze data, so ensuring the
security and reliability of data becomes extremely important. Once the system is hacked, the
confidentiality and integrity of the data and the system will be compromised at any time. The
cost to the enterprise will be large and the loss is incalculable. Therefore, security is the primary
issue before AIoT technology.
Compatibility and complexity issues
The Internet of Things realizes the interconnection of everything, but the Internet of Things
market is very fragmented, and the technologies used are also diverse. After devices are
connected through AIoT, the hardware arrangement and software interaction between different
devices may encounter difficulties. A large number of different devices and interaction methods
may cause the ecological environment to be more complicated and difficult to be compatible.
4.2 AI technology still needs to be improved
Although the current AI systems and algorithms have been able to become outstanding in many
fields, such as Go, etc., in the face of the complexity of AIoT future scenarios, immature AI
technology may still be unable to accurately interpret data and make rational decisions.
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Therefore, there is still a lot of room for further development of AI technology.
Although AIoT still has these problems, it has to be admitted that AIoT has great potential. At
present, there have been studies on the use of blockchain platforms to ensure the security of
AIoT. With the development of technology, the author believes that the problem is not far away.