I. Internet of things
1. What is the Internet of Things?
The Internet of Things was previously defined as information exchange through RFID, infrared sensors, global positioning systems, laser scanners, gas sensors, and other information-sensing devices, according to an agreed protocol, to connect any item to the Internet. A network that realizes intelligent identification, positioning, tracking, monitoring, and management. In short, the Internet of Things is the “Internet of Things Connectedâ€.
Later it was redefined as the combination of almost all current technologies and computers and Internet technologies to realize the real-time sharing and intelligent collection, transfer, processing, and execution of objects and objects: real-time environment and status information. Broadly speaking, the application of information technology now involved can be included in the scope of the Internet of Things.
2. Key technologies of the Internet of Things Sensor technology: This is also a key technology in computer applications. As we all know, most computer processing so far has been digital signals. Since computers are available, sensors are required to convert analog signals into digital signals for processing.
RFID tag: It is also a sensor technology. RFID technology is an integrated technology that combines wireless radio frequency technology and embedded technology. RFID has a broad application prospect in automatic identification and item logistics management.
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 featuring embedded systems can be seen everywhere; as small as people's MP3, as large as aerospace satellite systems. Embedded systems are changing people’s lives and driving the development of industrial production and defense industries. If you use the human body as a simple metaphor for the Internet of Things, the sensor is equivalent to the human eye, nose, skin and other senses, the network is the nervous system used to transmit information, the embedded system is the human brain, after the receipt of information to be classified deal with. This example vividly describes the position and role of sensors and embedded systems in the Internet of Things.
Today's Internet of Things industry consists of five levels: application layer, support layer, perception layer, platform layer, and transport layer.
Second, cloud computing
1. What is cloud computing?
Cloud computing is a pay-per-use model that provides available, convenient, on-demand network access into a configurable pool of computing resource resources (network, server, storage, application software, services) These resources can be provided quickly, with little administrative effort 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 is the nerve center of the Internet of Things. Cloud computing is an increase, use, and delivery model of Internet-related services, and typically involves the provision of dynamically scalable and often virtualized resources over the Internet.
Currently, the Internet of Things server is deployed in the cloud and provides application-level services through cloud computing. Cloud computing can provide the following tomographic services: IaaS: Infrastructure as a Service Consumers can access services from sophisticated computer facilities through the internet. For example: hardware server rental.
PaaS: Platform as a Service PaaS actually refers to the software development platform as a service, submitted to users in SaaS mode. Therefore, PaaS is also an application of the SaaS model. However, the emergence of PaaS can speed up the development of SaaS applications, such as: the development of software customization.
SaaS: Software as a Service It is a mode of providing software through the internet. Users do not need to purchase software, but rent web-based software to providers to manage their business activities, such as: Amazon.
Third, big data
1. What is big data?
Big data is a large-scale data collection that greatly exceeds the capabilities of traditional database software tools in terms of acquisition, management, and analysis. It has massive data size, rapid data flow, various data types, and low value density. If big data is likened to an industry, then the key to profitability of such industries is to improve the "processing power" of data, and to achieve "value-added" data through "processing."
2. The relationship between big data and cloud computing From a technical point of view, the relationship between big data and cloud computing is inseparable like the front and back of a coin. Big data must not be processed by a single computer. It must use a distributed architecture. Its characteristic lies in the distributed data mining of massive data, but it must rely on cloud computing distributed processing, distributed database and cloud storage, 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, large-scale dataset analysis requires a framework like MapReduce to distribute work to tens, hundreds, or even thousands of computers.
Big data requires special techniques to efficiently process large amounts of data that tolerate over time. Techniques for big data, including large-scale parallel processing databases, data mining, distributed file systems, distributed data, cloud computing platforms, the Internet, and scalable storage systems.
Fourth, artificial intelligence
1. What is artificial intelligence?
Artificial intelligence is abbreviated as AI in English. It is a new technical science for researching and developing the theory, method, technology and application system for simulating, extending, and expanding human intelligence. Artificial intelligence is a branch of computer science. It attempts to understand the essence of intelligence and produces a new intelligent machine that can respond in a similar way to human intelligence. Research in this area includes robots, language recognition, and image recognition. , natural language processing and expert systems. It is a simulation of the information process of human consciousness and thinking. Artificial intelligence is not human intelligence, but it can be thought of as human beings, and it may also exceed human intelligence.
From the above perspective, we can easily draw a conclusion: The normal operation of the Internet of Things is to transfer information to the cloud computing platform through big data, and then the artificial intelligence extracts the data stored in the cloud computing platform to perform activities.
GALOCE weight indicators are available in a variety of materials ranging from aluminum to 304 stainless steel enclosures and come with a variety of display options ranging from LCD, LED to large displays and wireless options. output RS232/RS485, can conntact the computer. Optional wall mount kit, stainless steel bracket.
Weight Indicator,Digital Load Cell Indicator,Indicator Load Cell, load cell display
GALOCE (XI'AN) M&C TECHNOLOGY CO., LTD. , https://www.galoce-meas.com