If using the previous cellular network such as GPRS mode, follow the field of Internet of things, from the main network or security, is also relatively poor. So, NB-IOT came, it is called the Internet of Things era.
OFweek Internet of Things News NB-IOT came, it is called the Internet of Things era.
NB-IOT several key features:
1, mass connection
Refers to the coverage can be achieved 20dB higher than the GSM gain, a multiple of amplification, signal penetration is strong.
2, the device does not need continuous connection, low power consumption
From this perspective, NB-IOT is indeed designed for device networking, device networking features:
â‘ packet data, or low frequency or high frequency;
â‘¡ insensitive to delay;
â‘¢ network reliability requirements;
â‘£ non-long connection.
If using the previous cellular network such as GPRS mode, follow the field of Internet of things, from the main network or security, is also relatively poor.
So, NB-IOT came, it is called the Internet of Things era.
Viewing the Location of Internet of Things from Artificial Intelligence Network.
1, a historical review of IT veterans
From 2000 until now I have been subordinate IT industry, have seen from the PC to the LAN - Internet - Mobile Internet - Internet of Things process.
The first half of the Internet: the golden age of infrastructure for the king, hardware vendors and system integrators.
The second half of the Internet: the application of the king, BAT golden age. From the standalone PC, and later with the local area network cafes, and then from the portal to search engines, from chat rooms to QQ, from games to e-commerce, from the End of the World community to Weibo, WeChat, these are all applications for the king stage.
IoT is the first half of artificial intelligence: everything connected, hard and soft, the connection is king.
Robots and smart hardware are the second half of artificial intelligence: robots and smart hardware that are not targeted for the current scenario are more like another version of LEGO than DJI and ECHO.
â‘ perception, belonging to the terminal part;
â‘¡ connection, belonging to the network part;
â‘¢ application (smart), belonging to the application scenarios.
The Internet of Things also needs to experience the stage where infrastructure is king to application. The two are advancing with each other and are sometimes relatively synchronized.
3, the evolutionary order of artificial intelligence
Device Networking - Background Data Platforms - Algorithms (Sensor Algorithms + Background Data Mining Algorithms) - Control (Cloud Computing + Edge Computing + Big Data) - Machine Learning, Deep Learning, Artificial Intelligence (AI).
The Internet of Things is the first step in artificial intelligence, establishing device networking and infrastructure for data monitoring based on device networking, which is my most pragmatic approach to date.
4, the opportunity for start-up companies
From this logical evolution of technology, robots, intelligent hardware, algorithms, etc. should not be the starting point for start-up companies, too early. This should be the strategic goal of a large company or a scientist-type entrepreneurial goal.
IoT ecological chain of enablers.
1, the core of the hardware ecosystem is the chip, that is, Shenzhen entrepreneurs in the mouth of the "board, screen, shell", whether it is mobile phones, tablet PCs, play boxes, smart watches, can not escape this logic.
2, the core of the Internet ecosystem is BAT, representing the search, business, social. This is the entrance to IoT traffic, and others are based on these traffic applications.
3. The core or infrastructure of IoT Ecology is chip (including sensor and algorithm) vendors, ZTE Huawei (NB-IOT technology provider), network operators (Telecom Mobile Alliance), BAT (cloud computing and cloud services).
NB-IOT typical application.
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