2024.07.31From: China News Network
The first public data operation product in the Bus industry in Shandong Province, China, "Qingyi Charging", was launched in Qingdao on the 31st. According to reports, the product was developed by the Zhenqing Bus Group of Qingdao West Coast New Area, which can realize the lean management of bus charging, which is of great significance to releasing data value and promoting the development of the digital economy.
At the launch ceremony, Cheng Peng, chief engineer of information technology at Zhenqing Bus Group, introduced that the group relied on Qingdao's public data operation platform to integrate Bus data with third-party social data to develop "Qingyi Charging", which realizes scientific and standardized charging operation process for buses.
"'Qingyi Charging' solves the pain point of manually operated bus charging that cannot be accurately judged, and realizes precise control of electricity costs." Cheng Peng said that the product integrates data resources such as bus operations and real-time electricity prices, and follows the principle of "no charging during peak hours, no waste during troughs, and precise charging during off-peak hours" to automatically generate the best charging solutions for different buses through AI algorithms.
"It is estimated that after full promotion, our group can save more than 1.6 million yuan (RMB, the same below) in charging costs each year." Cheng Peng introduced that the calculated data showed that after the application of this product, the average electricity price for bus charging can be reduced by 0.07 yuan per kilowatt-hour, and the electricity cost saving rate can reach 9.8%.
At the scene, "Qingyi Chong" was officially launched in the transportation zone of Qingdao Public Data Operation Platform and Qingdao Big Data Trading Center, and two transactions were signed.
"In the next step, we will develop a method for estimating energy storage capacity to further promote the company's cost reduction and efficiency improvement. In the fields of practical application of large-scale vertical models of Bus, passenger flow statistics analysis based on AI, and intelligent scheduling of Bus, new data products will be continuously formed and promoted for use in the national transportation industry." said Xiang Fengjun, Party Secretary and Chairman of Zhenqing Bus Group.
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