IoT application example

Today, the Internet of Things is connected to all walks of life. Whether the IoT is deployed to achieve IT functions or to drive business expansion, the various practices of the Internet of Things require adaptive adjustments based on thousands of things. And as time goes by, the number of IoT terminals will far exceed the number of traditional IT terminals. "Quocirca analyst and director Bob Tarzey said.

But how is the Internet of Things used? Many people may still be thinking about it when they face this question. People may have heard of the Internet of Things many times, but they cannot form a complete picture of IoT applications in their minds. IDG and Intel recently cited several examples of early applications for the Internet of Things in a white paper, hoping to help people better understand the Internet of Things.

Here are 5 examples of IoT applications:

Intelligent energy-efficient buildings: A central control system will connect and control all the equipment in the building. This system will increase the energy efficiency of buildings by 30%.

Factory Automation: The underlying data in the plant is collected and transferred to the analysis software. This project will improve the uptime of the unit, increase output, increase productivity, and maximize the use of resources, tools and manpower.

Remotely controlled agriculture: Sensors in the rice fields of Malaysia can report the water content of the farmland and the amount of water flowing in and out. Farmers can even use mobile phone software to monitor farmland status and control irrigation systems. This system makes agricultural production more efficient.

Efficient transportation: Vehicles equipped with sensors will collect information on fuel consumption, location, time, distance and more. This system will improve the efficiency of the vehicle and reduce fuel consumption and carbon dioxide consumption.

Retail: The coffee retailer is equipped with a high-definition touch screen, cashless payment methods, ranging technology, NFC technology and digital navigation. The data will be collected anonymously and sent to analysts for analysis. Retailers can optimize price and product distribution through analysis results from different regions.

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