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Internet of things
1. What is the Internet of Things?
The Internet of Things was previously defined as a network for intelligent identification, location, tracking, monitoring and management by connecting anything with the Internet according to the agreed protocol through information sensing devices such as radio frequency identification (RFID), infrared sensors, global positioning system, laser scanners and gas sensors. In short, the Internet of Things is the Internet of Things.
Later, it was redefined as the combination of almost all technologies, computers and Internet technologies to realize real-time sharing of environment and state information among objects, as well as intelligent collection, transmission, processing and execution. Broadly speaking, the information technology applications currently involved can be included in the category of Internet of Things.
2. Key technologies of the Internet of Things
Embedded system technology: it is a complex technology that integrates computer software and hardware, sensor technology, integrated circuit technology and electronic application technology. After decades of evolution, intelligent terminal products characterized by embedded systems can be seen everywhere; From MP3 players around people to satellite systems in aerospace. Embedded system is changing people's lives and promoting the development of industrial production and national defense industry. If the Internet of Things is simply likened to the human body, sensors are equivalent to human eyes, nose, skin and other senses, the network is the nervous system that transmits information, and the embedded system is the human brain. After receiving the information, it should be classified. This example vividly describes the position and role of sensors and embedded systems in the Internet of Things.
Sensor technology: This is also the key technology in computer application. As we all know, up to now, most computers are processing digital signals. Since the advent of computers, sensors have been needed to convert analog signals into digital signals, and then computers can process them.
RFID tag: It is also a sensor technology. RFID technology is a comprehensive technology that combines radio frequency technology and embedded technology. RFID has a broad application prospect in automatic identification and cargo logistics management.
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cloud computing
1. What is cloud computing?
Cloud computing is a pay-per-use model, which provides available, convenient and on-demand network access, enters a configurable computing resource pool (including network, server, storage, application software and services), and can be provided quickly with little management work or little interaction with service providers.
2. The relationship between the Internet of Things and cloud computing
Cloud computing is equivalent to the human brain and the nerve center of the Internet of Things. Cloud computing is a mode of increasing, using and delivering related services based on the Internet, which usually involves providing dynamically scalable and often virtualized resources through the Internet.
At present, the servers of the Internet of Things are deployed in the cloud and provide various services of the application layer through cloud computing. Cloud computing can provide the following services:
IaaS: Infrastructure as a Service
Consumers can get services from perfect computer facilities through the Internet. For example: hardware server rental.
Platform as a service
PaaS actually refers to the platform of software research and development as a service, which is submitted to users in the mode of SaaS. Therefore, PaaS is also an application of SaaS mode. However, the emergence of PaaS can accelerate the development of SaaS applications, such as personalized development of software.
SaaS: Software as a Service
It is a mode of providing software through the Internet. Users don't need to buy software, but rent network-based software from providers to manage the business activities of enterprises, such as Amazon.
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big data
1. What is big data?
Big data is a large-scale data collection, which greatly exceeds the ability of traditional database software tools in acquisition, management and analysis. It has four characteristics: massive data scale, rapid data flow, diverse data types and low value density. If big data is compared to an industry, then the key to the profitability of this industry lies in improving the "processing ability" of data and realizing the "value-added" of data through "processing".
2. The relationship between big data and cloud computing
Technically, the relationship between big data and cloud computing is as inseparable as the front and back of a coin. Big data cannot be processed by a single computer, and it must adopt a distributed architecture. It is characterized by distributed data mining of massive data, but it must rely on distributed processing of cloud computing, distributed database, cloud storage and virtualization technology.
With the advent of the cloud era, the attention of big data is getting higher and higher. The analyst team believes that big data is usually used to describe a large amount of unstructured data and semi-structured data created by a company. Big data analysis is often associated with cloud computing, because real-time analysis of large data sets requires a framework such as MapReduce to distribute work to dozens, hundreds or even thousands of computers.
Big data requires special technology to effectively process large amounts of data within tolerance time. Technologies suitable for big data include large-scale parallel processing database, data mining, distributed file system, distributed data server, cloud computing platform, Internet and extensible storage system.
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artificial intelligence
1, what is artificial intelligence?
Artificial intelligence, abbreviated as AI in English, is a new technical science to study and develop the theories, methods, technologies and application systems that simulate, extend and expand human intelligence. Artificial intelligence is a branch of computer science, which tries to understand the nature of intelligence and produce a new intelligent machine that can respond in a way similar to human intelligence. The research in this field includes robot, language recognition, image recognition, natural language processing and expert system. It is a simulation of the information process of human consciousness and thinking. Artificial intelligence is not human intelligence, but it can think like human beings and may surpass human intelligence.
From the above point of view, we can simply draw a conclusion that the normal operation of the Internet of Things is to transmit information to the cloud computing platform through big data, and then artificial intelligence extracts the data stored in the cloud computing platform for activities.