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The traditional methods are easy to generate lagging response and the high energy consumption, which result in high system condition data loss rate and low comprehensive utilization value. Therefore, smart distribution network transmission line condition data acquisition and communication system is designed based on the overall structure of the system, including data acquisition module, data communication module, transmission line condition monitoring communication module, and wireless transmission module of transmission line condition data. Tension, ambient temperature, solar radiation temperature, and wind direction signals collected by the data acquisition module are transmitted to the data communication module. After the collected signals are packaged to wake up G24, and establish a good GPRS network connection for data transmission. The transmission line condition monitoring communication module adopts an embedded operating system, which can combine its own functions to cut down the operating system, to speed up the response to the interruption event. The MCU in the transmission line condition data acquisition and communication system of smart distribution network realizes the command control of G24 by sending AT commands through the UART port. Data exchange between terminal and master station and addition of data items ensure the normal and smooth data communication. The experimental results show that the designed system can significantly reduce the loss rate of transmission line condition data and improve the system\u2019s comprehensive utilization capability.<\/jats:p>","DOI":"10.3233\/jifs-169732","type":"journal-article","created":{"date-parts":[[2018,8,5]],"date-time":"2018-08-05T06:37:22Z","timestamp":1533451042000},"page":"4107-4120","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":4,"title":["Acquisition and communication system for condition data of transmission line of smart distribution network"],"prefix":"10.1177","volume":"35","author":[{"given":"Xiaogang","family":"Zhu","sequence":"first","affiliation":[{"name":"School of Software, Nanchang University, Nanchang, China"}]},{"given":"E.","family":"Choulli","sequence":"additional","affiliation":[{"name":"Department of Mathematical and Statistics Science, University of Alberta, Edmonton, AB, 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