The Internet of Things is a multi-dollar Internet
The Internet of Things is the three-dimensional Internet. If the Internet is a one-dimensional interconnection, and the mobile Internet is a two-dimensional interconnection, then the Internet of Things is a three-dimensional interconnection. It connects people, machines, and things, and can realize the interconnection of people, machines, and things at any time and in any place.
The operating environment of this tutorial: Windows 7 system, Dell G3 computer.
The Internet of Things is the three-dimensional Internet. If the Internet is one-dimensional interconnection, the mobile Internet is two-dimensional interconnection, and the Internet of Things is three-dimensional interconnection.
The Internet of Things connects people, machines and things.
The Internet of Things (IoT, Internet of things) is the "Internet where everything is connected". It is an extended and expanded network based on the Internet. It combines various information sensing devices with the network to form a huge The network enables the interconnection of people, machines and things at any time and anywhere.
Features:
Basic features of the Internet of Things From the perspective of communication objects and processes, the information interaction between things and people and things is the core of the Internet of Things . The basic characteristics of the Internet of Things can be summarized as overall perception, reliable transmission and intelligent processing.
Overall perception—You can use radio frequency identification, QR codes, smart sensors and other sensing devices to perceive and obtain various types of information about objects.
Reliable transmission—Through the integration of the Internet and wireless networks, object information is transmitted in real time and accurately to facilitate information exchange and sharing.
Intelligent processing - using various intelligent technologies to analyze and process the data and information sensed and transmitted to achieve intelligent monitoring and control. Based on the above characteristics of the Internet of Things, combined with the perspective of information science, and focusing on the flow process of information, the functions of the Internet of Things in processing information can be summarized:
(1) The function of obtaining information. It is mainly the perception and identification of information. The perception of information refers to the perception and sensitivity of the attribute state of things and the way they change; the identification of information refers to the ability to express the felt state of things in a certain way. (2) The function of transmitting information. It is mainly the process of information sending, transmission, reception, etc., and finally the task of transmitting the acquired state of things information and the way it changes from one point in time (or space) to another point. This is what is often referred to as the communication process. (3) The function of processing information. It refers to the process of information processing, using existing information or perceived information to generate new information, which is actually the process of making decisions. (4) Function of effect information. It refers to the process in which information finally exerts its effect. It has many forms of expression. The more important thing is to always keep the object in a pre-designed state by adjusting the state of the object and its transformation method.
For more related knowledge, please visit the FAQ column!
The above is the detailed content of The Internet of Things is a multi-dollar Internet. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



The integration of artificial intelligence (AI) and machine learning (ML) into Internet of Things (IoT) systems marks an important progress in the development of intelligent technology. This convergence is called AIoT (artificial intelligence for the Internet of Things), and it not only enhances the capabilities of the system, but also changes the way IoT systems operate, learn and adapt in the environment. Let’s explore this integration and what it means. The Role of Artificial Intelligence and Machine Learning in IoT Enhanced Data Processing and Analytics Advanced Data Interpretation: IoT devices generate massive amounts of data. Artificial intelligence and machine learning can cleverly cull this data, extract valuable insights, and identify patterns that are invisible to a human perspective or traditional data processing methods. Predictive analytics uses artificial intelligence and machine learning to predict future trends based on historical data

Robotic IoT is an emerging development that promises to bring together two valuable technologies: industrial robots and IoT sensors. Will the Internet of Robotic Things become mainstream in manufacturing? What is the Internet of Robotic Things? The Internet of Robotic Things (IoRT) is a form of network that connects robots to the Internet. These robots use IoT sensors to collect data and interpret their surroundings. They are often combined with various technologies such as artificial intelligence and cloud computing to speed up data processing and optimize resource utilization. The development of IoRT enables robots to sense and respond to environmental changes more intelligently, bringing more efficient solutions to various industries. By integrating with IoT technology, IoRT can not only realize autonomous operation and self-learning, but also

Across the world, manufacturing in particular seems to have gradually overcome the difficulties during the pandemic and the supply chain disruptions of a few years ago. However, manufacturers are expected to face new challenges by 2024, many of which can be solved through wider application of digital technologies. Recent industry research has focused on the challenges manufacturers face this year and how they plan to respond. A study from the State of Manufacturing Report found that in 2023, the manufacturing industry is facing economic uncertainty and workforce challenges, and there is an urgent need to adopt new technologies to solve these problems. Deloitte made a similar point in its 2024 Manufacturing Outlook, noting that manufacturing companies will face economic uncertainty, supply chain disruptions and challenges in recruiting skilled labor. no matter what the situation

As a technology company driven by innovation, Christie is able to provide comprehensive solutions, rich industry experience and a complete service network in intelligent audio-visual technology. At this year's InfoCommChina, Christie brought RGB pure laser projectors, 1DLP laser projectors, LED video walls, and content management and processing solutions. At the event site, a large-scale customized outer spherical dome specially designed for astronomical displays became the focus of the scene. Christie named it "Sphere Deep Space", and the Christie M4K25RGB pure laser projector gave it "green vitality" . Mr. Sheng Xiaoqiang, senior technical service manager of the Commercial Business Department in China, said: It is not difficult to realize an outer spherical dome projection, but it can be made smaller and the color

With the continuous development of smart technology, smart buildings have become a powerful force in today's construction industry. In the rise of smart buildings, Internet of Things (IoT) sensors and artificial intelligence (AI) have played a crucial role. Their combination is not just a simple technical application, but also a complete subversion of traditional building concepts, bringing us a more intelligent, efficient and comfortable building environment. Over the past few years, and especially in the wake of the COVID-19 pandemic, the challenges facing building management have increased and evolved as expectations for facilities managers have changed and viability needs have expanded. The shift to more integrated and flexible work environments within offices is also changing the way commercial buildings are used, requiring real-time visibility into building usage, occupant trends

With the further development of big data and artificial intelligence, the Internet of Things is increasingly developing in the direction of AIOT. The Internet of Things infrastructure will become a new generation of information infrastructure, forming a trinity of "Internet of Things", "Digital Internet" and "Intelligent Internet" architecture. The collection, storage, analysis, mining and intelligent application of IoT infrastructure data are very important. To this end, we need to systematically model IoT data and establish a complete and standard IoT data modeling system to provide basic guarantees. In this way, we can better analyze, mine and apply IoT data and further promote the development of IoT. The object model aims to standardize and semantically describe, identify and manage objects, and promote the intelligence and efficiency of the Internet of Things. IoT ontology modeling: Purpose: To solve the problem of "what is an object?"

With its high concurrency, efficiency and cross-platform nature, Go language has become an ideal choice for mobile Internet of Things (IoT) application development. Go's concurrency model achieves a high degree of concurrency through goroutines (lightweight coroutines), which is suitable for handling a large number of IoT devices connected at the same time. Go's low resource consumption helps run applications efficiently on mobile devices with limited computing and storage. Additionally, Go’s cross-platform support enables IoT applications to be easily deployed on a variety of mobile devices. The practical case demonstrates using Go to build a BLE temperature sensor application, communicating with the sensor through BLE and processing incoming data to read and display temperature readings.

Some time ago, we discussed the official passage of the EU Data Act. What impact will it have on the industry? , today we continue to take a look at how the EU's "Data Law" will change the way data is used and shared? Introduction to the "Data Act" On February 23, 2022, the European Commission officially released the "Data Act" Draft (hereinafter referred to as the "Data Act"), which aims to release the economic and economic benefits of data and technology that comply with EU rules and values. social potential. The bill puts forward new requirements around data sharing, public agency access, international data transfer, cloud switching and interoperability, etc., and will have a significant potential impact on the global digital economy and data governance. On November 9, 2023, the European Parliament voted to pass the "Data Law" and in 202