Abstract
Power system facility calibration is a compulsory task that requires in-site operations. In this work, we propose a remote calibration device that incorporates edge intelligence so that the required calibration can be accomplished with little human intervention. Our device entails a wireless serial port module, a Bluetooth module, a video acquisition module, a text recognition module, and a message transmission module. First, the wireless serial port is used to communicate with edge node, the Bluetooth is used to search for nearby Bluetooth devices to obtain their state information and the video is used to monitor the calibration process in the calibration lab. Second, to improve the intelligence, we propose a smart meter reading method in our device that is based on artificial intelligence to obtain information about calibration meters. We use a mini camera to capture images of calibration meters, then we adopt the Efficient and Accurate Scene Text Detector (EAST) to complete text detection, finally we built the Convolutional Recurrent Neural Network (CRNN) to complete the recognition of the meter data. Finally, the message transmission module is used to transmit the recognized data to the database through Extensible Messaging and Presence Protocol (XMPP). Our device solves the problem that some calibration meters cannot return information, thereby improving the remote calibration intelligence.
Highlights
Traditional calibration requires an expert to operate personally in a scene which is rather inefficient
We propose a remote calibration device that incorporates edge intelligence to improve the efficiency of calibration work and reduce costs; We combine a variety of heterogeneous edge devices to make remote calibration better networked; We propose a smart meter reading method in our device that is based on artificial intelligence to obtain information about calibration equipment and improves the intelligence
With the development of smart instrument technology and Internet communication technology, we propose a remote calibration device that incorporates edge intelligence to improve the degree of intelligence and efficiency in remote calibration
Summary
Traditional calibration requires an expert to operate personally in a scene which is rather inefficient. The standard calibration equipment needs to be transported to the site. This consumes a lot of time and transportation costs. Most digital instruments and virtual instruments provide communication interfaces that makes it possible to form a remote calibration system based on actual hardware and computer units with network interconnection capabilities. With the rapid development of Internet and bus technology, making full use of the worldwide. Internet for remote calibration has gradually received the attention of researchers [1,2,3]. Gunawan TS et al [5]
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