From "Internet +" to "Internet of Things ×": Using data as a canvas, how to correctly open the "application picture" of the Internet of Everything?
The virtual and real wonderland in Journey to the West is the collective memory of Eastern culture. But even Wu Chengen, who has a wild imagination, may find it hard to believe that five hundred years from now there will be such a world: home appliances controlled by the human voice, machines that are smart and eager to learn, farmers who no longer rely on the sky for their livelihood, and people who are far away but can still see, hear, and ask questions. Doctor.
In this world where the physical world and digital technology are intertwined, a new world where virtuality and reality blend is accelerating to take shape.
Smart devices at home can accurately predict your needs, factory machines can adjust themselves to achieve optimal production efficiency, and various systems in the city can automatically work together to provide a more convenient life experience... all of this is due to the Internet of Things technology Continuous extension and in-depth links with various industries. As a revolution in technological reshaping, the Internet of Things covers a wide range of areas and brings great value, bringing new imaginations to the industry every year.
At present, the overall IoT market is transforming from "Internet +" to "Internet of Things The picture of the application market is becoming more and more imaginative. Among them, the technological leaps of AIoT (Artificial Intelligence Internet of Things) and IIoT (Industrial Internet of Things) have become a very natural extension of Internet of Things technology. In the past one or two years, they have been implemented at the application level and are reshaping people and the world in various fields. interactive way.
With data as the canvas and artificial intelligence as the special effects, the brush of the Internet of Things is painting a dynamic and imaginative picture in various industries.
AIoT and IIoT：
The cutting-edge form of the Internet of Things
AIoT (Artificial Intelligence Internet of Things) and IIoT (Industrial Internet of Things) are two cutting-edge concepts in today's technology field. They represent two very important application fields and development directions of the current Internet of Things.
01
What are the characteristics of AIoT and IIoT?
AIoT combines artificial intelligence with the Internet of Things to give IoT devices a higher level of intelligence and autonomy to better understand and adapt to user needs. Its features include: massive data analysis and intelligent decision-making, personalized experience, and self-learning capabilities.
IIoT focuses on Internet of Things technology in the industrial field to improve production efficiency, optimize processes and reduce costs. Its features include: sensors and smart devices are used in factories and manufacturing industries to optimize production, equipment interconnection enables real-time communication and collaborative work, real-time monitoring of equipment status and predictive maintenance.
02
Where do AIoT and IIoT lead?
With the integration of edge computing and artificial intelligence, AIoT is committed to achieving a more intelligent and personalized user experience, and its development prospects include smart homes, personal health care and other fields. IIoT is emerging in industrial automation and smart manufacturing, improving production efficiency and optimizing equipment operations through 5G communications and big data analysis.
AIoT and IIoT are leading the development trend of "Internet of Everything", connecting various devices, systems and urban infrastructure together. According to IoT Analytics research, the number of connected IoT devices worldwide will be 14.4 billion in 2022, and this number is expected to exceed 27 billion by 2025. Through technological means such as sensors, cloud computing and artificial intelligence, the Internet of Things is creating a seamless interactive network to achieve instant communication and data sharing between devices and between humans and machines. The trend of the Internet of Everything not only improves efficiency and convenience, but also provides broad space for business model innovation, accelerating the arrival of an interconnected and intelligent society.
图1：来自IoT Analytics，State of IoT 2022: Number of connected IoT devices growing 18% to 14.4 billion globally
What core technologies
support the development of AIoT and IIoT?
The development of AIoT and IIoT relies on a series of key technical supports. Sensors collect data, the Internet of Things connects devices and exchanges information, 5G provides fast and reliable communication, and artificial intelligence gives devices intelligent decision-making capabilities. These core technologies integrate with each other and jointly promote the innovative development of the intelligent Internet of Things.
01
sensor
Sensors play a key role in the development of the Internet of Things. They are a bridge between the real world and digital systems. By capturing various signals from the physical world and converting them into digital information, they provide key components for devices, systems and artificial intelligence. enter.
In AIoT, sensors are responsible for collecting various environmental data, which become input to artificial intelligence algorithms, allowing intelligent systems to better understand and adapt to the environment and provide more personalized and intelligent services. For example, in smart homes, temperature sensors can help the smart thermostat system automatically adjust the temperature and improve home comfort.
For example, by monitoring the vibration data of machinery and equipment through vibration sensors, equipment failures can be predicted and repairs can be carried out in advance to avoid unnecessary downtime and losses.
02
Internet of things
IoT technology is the key to realizing connection and data exchange, involving communication protocols, cloud computing, interconnection between devices and other aspects. It connects various devices and systems together, connects devices and exchanges information.
Among them, IoT communication protocols and standards provide a standardized framework for data transmission between devices, including lightweight MQTT, CoAP for resource-constrained devices, etc., ensuring interoperability between devices and efficient data exchange. The IoT platform serves as the connection, management and data processing center. Common IoT platforms include AWS IoT, Microsoft Azure IoT, Google Cloud IoT, etc. They provide various data interfaces and management tools to help users manage IoT devices and utilize data more easily.
On the other hand, cloud computing and cloud storage provide powerful computing power and storage capabilities, allowing devices to upload data to the cloud for processing, supporting large-scale data analysis and artificial intelligence model optimization, and providing intelligent decision-making and predictive analysis in the Internet of Things. Critical support.
These technical components cooperate with each other to build the infrastructure of the Internet of Things, making communication between devices more efficient and reliable, and data processing more intelligent.
03
5G communication
As a popular mobile communication [gh1] [MOU2] technology, 5G provides faster and more reliable communication connections than ever before and is crucial to building an intelligent and efficient Internet of Things.
In AIoT, the high-speed transmission and low-latency characteristics of 5G provide support for real-time data exchange between smart devices, which is crucial for intelligent decision-making and personalized services. For example, in smart homes, various smart devices can quickly respond to user instructions through 5G high-speed communication to achieve more efficient home management.
04
AI
Artificial intelligence is the core driving force for the rapid development of AIoT and IIoT. AI gives IoT devices more advanced intelligence, enabling them to learn, understand and adapt to their environment. Through technologies such as machine learning and deep learning, devices can continuously improve their performance. For example, smart home devices can automatically adjust temperature, lighting, and security systems to suit the habits and needs of the occupants.
Additionally, AI enables IoT devices to discover patterns and trends from massive amounts of data and make predictive decisions. In the industrial sector, this capability can be used to predict equipment failures, reduce downtime, and improve production efficiency. The application of AI technology in edge computing has also greatly improved the intelligence level of IoT devices. By processing data and analyzing it on the device side, edge intelligence can avoid data transmission delays and achieve faster, real-time responses.
Overall, AI technology enables IoT devices to better understand user needs and behavior patterns, and the application of technologies such as intelligent voice assistants and intelligent recommendation systems will bring more personalized services and better user experience.
Figure 2: From How Artificial Intelligence Will Impact the Internet of Things?
IoT X: The slowly unfolding picture of Internet of Things applications
Today, "IoT X" represents the continuous expansion and transformation of the Internet of Things, showing a picture of IoT applications full of infinite possibilities. It not only connects devices and systems, but is also a catalyst for intelligent, personalized services and smart decision-making, profoundly changing our daily lives, industrial production, urban management and other fields.
01
Industrial Manufacturing: Intelligent Manufacturing and Factory Automation
Internet of Things technology has been widely used in industrial production and manufacturing, and intelligent production methods have greatly improved the efficiency and quality of industrial production. Siemens first launched an industrial IoT platform called MindSphere in 2017, which connects factory sensors, equipment and manufacturing systems to achieve real-time monitoring and analysis of equipment operating status, production efficiency and energy utilization.
In April 2023, Siemens launched Industrial Operations X, an open and interoperable product portfolio dedicated to automating and operating industrial production. This solution integrates MindSphere as Insights Hub and serves as a key part of the Industrial Operations X and Siemens Xcelerator ecosystem. Industrial Operations
02
Health care: telemedicine and equipment intelligence
The Internet of Things covers all aspects of telemedicine, smart medical equipment, and medical facility management in the medical field, bringing more efficient, convenient and personalized services to medical care.
For example, Teladoc Health has built a telemedicine platform using IoT technology and has provided more than 50 million telemedicine services to patients. The platform supports video consultations between patients and doctors, and can also measure data such as blood pressure and blood sugar through connected smart devices, and transmit these data to doctors in real time, allowing doctors to remotely monitor patients' health conditions and adjust treatment plans in a timely manner. This telemedicine platform effectively utilizes Internet of Things technology to provide patients with convenient and efficient medical services. It is especially significant for patients with chronic diseases who require long-term monitoring and those who cannot easily go to the hospital.
Figure 3: From Teladoc Health official website
03
Urban Intelligence: Intelligent Management System
The Internet of Things plays a key role in smart city management, helping cities achieve all-round intelligence and efficiency such as traffic optimization, efficient energy utilization, environmental monitoring, and public safety.
In recent years, technology companies such as Amazon, Google, and Alibaba have been using IoT technology to build smart cities. The "City Brain" project jointly developed by Alibaba and Hangzhou is a typical case. Sensors and cameras collect traffic data in real time, smart grids use sensors to monitor power demand and supply to achieve dynamic energy allocation, smart trash bins automatically detect fill levels and arrange excellent collection routes, and more. Based on IoT technology, the platform integrates data to provide cities with intelligent and efficient governance and services, effectively improving the city's sustainable development capabilities.
04
Agriculture: Data-driven agricultural decisions
The application of IoT technology in the agricultural field is becoming more and more extensive and diverse, covering aspects such as precision agricultural management, intelligent irrigation and fertilization, livestock monitoring, agricultural machinery automation and supply chain management. By monitoring the environment, plant growth and animal health through sensors, farmers can achieve refined management of agriculture, better utilize resources, and increase yield and quality.
Starting in 2017, Huawei announced its entry into the smart agriculture industry and explored the widespread use of IoT technology in agricultural production. Huawei leverages its leadership in 5G technology, with high-speed connections allowing data to be collected and transmitted in real time. Through deployed sensors and equipment, data on soil, climate and crop growth are collected and uploaded to the cloud for analysis and processing. The analysis results provide farmers with more accurate agricultural management guidance. Huawei's smart agriculture solution also connects agricultural machinery and automation equipment to enable autonomous decisions and operations such as automatically adjusting fertilization and irrigation based on soil conditions and crop needs.
Conclusion
This article explores the applications of AIoT and IIoT in the fields of smart life, industrial manufacturing, and urban management, emphasizing the criticality of IoT technology in different industries. The development of the Internet of Things will promote the integration of intelligent devices and systems into daily life. Artificial intelligence technology and the Internet of Things will also be more deeply integrated, with potential impacts on business models and social life. The widespread popularity of IoT applications and the development prospects of continuous innovation will profoundly change the way various industries operate and bring huge opportunities for future intelligent life and industrial development.
references
1. State of IoT 2022: Number of connected IoT devices growing 18% to 14.4 billion globally
2. How Artificial Intelligence Will Impact the Internet of Things?
3. MindSphere — Internet of Things (IoT) Solutions
4. Smart Agriculture: Solving global hunger is no longer a dream
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