The five most common core technologies and two technical difficulties in the Internet of Things

The core key technologies include RFID technology, sensor technology, wireless network technology, artificial intelligence technology, and cloud computing technology.

1, RFID technology

RFID technology is the key technology in the Internet of Things to “make things speak”. The RFID tags in the Internet of Things contain standardized and interoperable information. They are automatically collected into the central information system through wireless data communication networks to realize the identification of items. .

2, sensor technology

Sensor Technology In the Internet of Things, sensors are primarily responsible for receiving the content of a "speech" of an item. Sensor technology is a multidisciplinary modern science and engineering technology that acquires information from natural sources and processes, transforms, and identifies acquired information. It involves planning, designing, developing, manufacturing, and testing sensors, information processing, and identification. , application and evaluation improvement activities and other content.

3, wireless network technology

In the Internet of Things, items must communicate with people in an unobstructed manner, and it is inseparable from high-speed wireless networks that can transmit large amounts of data. Wireless networks include both global voice and data networks that allow users to establish long-range wireless connections, as well as close-range Bluetooth, infrared and Zigbee technologies.

4, artificial intelligence technology

Artificial intelligence is a technique that studies computers to simulate certain thought processes and intelligent behaviors (such as learning, reasoning, thinking, and planning). In the Internet of Things, artificial intelligence technology mainly analyzes the content of the item "speech", so as to realize automatic computer processing.

5, cloud computing technology

The development of the Internet of Things cannot be separated from the support of cloud computing technology. The computing and storage capabilities of terminals in the Internet of Things are limited. The cloud computing platform can be used as the brain of the Internet of Things to realize the storage and calculation of massive data.

Technical difficulties in the Internet of Things

(1) Data security issues

Due to the frequent data collection of sensors, it can be said that data is collected at any time, and data security must be considered.

(2) Terminal problem

In addition to its own functions, terminals in the Internet of Things also have sensors and network access functions, and different industries vary widely. How to meet the diversified needs of terminal products is a huge challenge for researchers and operators.