| Summary: | 碩士 === 國立中央大學 === 資訊工程學系在職專班 === 101 === The smart meter has become one of the most important techniques on the smart grid and in the green energy industry. However, there are only a few countries that can change smart meters entirely. The social, economic, and other factors have been renewed due to the infrastructure. It has been entirely renewed.
This study proposes the embedded wireless meter reading network architecture based on machine vision, and the wireless meter reading network of the gateway, which has been operated. On the gateway we have experimented by RF to operate modbus protocol and recognize traditional gas meter’s image by optical character recognition. The condition can be presented and analyzed by energy Management Interface. First, put the wireless image sensor on every traditional gas meter. Then, it derives a gas meter image which will be sent to master gateway by modbus protocol. Next, the gateway gathers all the images from the slave. After that, it will recognize the meter reading data of the gas meter. Finally, the data, which has been derived from the slave, stores into the database, or uploads to cloud for analyzing further conditions.
We also have created a model embedded system prototype of the gas meter. Its function has been proven successful. Under the environment within 15 meters between the gateway and image sensor the result showed that the packet loss ratio is 4%, and the image recognition ratio is 87.97%. It takes 2.3431 seconds to analyze 913×114 resolution images.
This study proposes a low cost, low power consumption and expandable smart wireless meter reading network architecture. It also can be used in infrastructure, and in accordance with green energy and energy – efficiency.
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