The most important technology in the Internet of Things is automatic identification technology, which integrates the physical world and the information world, and is the most unique part of the Internet of Things that distinguishes it from other networks (such as telecommunications networks and the Internet).Automatic identification technology can identify and identify each item, and can update the data in real time, which is an important part of the construction of real-time sharing of global item information and the cornerstone of the Internet of Things.In layman's terms, automatic recognition technology is a technology that can make items "speak".
As human society enters the information age, the amount of information that people obtain and process is increasing.The traditional information collection input is entered by manual means, which is not only labor-intensive, but also has a high data error rate.So how to solve this problem?The answer is automatic identification technology based on computers and communication technologies.
Automatic recognition technology automatically collects data, automatically recognizes information, and automatically enters it into the computer, so that human beings can process a large amount of data and information in a timely and accurate manner.
In real life, a variety of activities or events will produce one or another kind of data, these data include human, material, financial, but also include procurement, production and sales, the collection and analysis of these data for our production or life decisions is very important.Without the data support of these real-world conditions, production and decision-making will become an empty phrase and will lack a realistic basis.
In the computer information processing system, the collection of data is the basis of the information system, and the data is analyzed and filtered by the data system, and eventually becomes the information that affects our decision-making.
In the early days of the information system, a considerable part of the data processing is manually entered by hand, so that not only the amount of data is very large, the labor intensity is large, and the data error rate is high, and the real-time meaning is lost.In order to solve these problems, people have studied and developed a variety of things.Liberating people from tedious and repetitive but very imprecise manual labor, improving the real-time and accuracy of system information, thus providing the correct reference for real-time adjustment of production, timely summary of finance, and correct decision-making.
In the current popular logistics research, the automatic identification and real-time collection of basic data is the basis for the existence of the logistics information system (LMIS, Logistics Management Information System), because the logistics process is closer to the reality of the "thing" than any other link, and the real-time data generated by logistics is denser than any other working condition, and the amount of data is large.
