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This post was last edited by Yuyu in the Desert on 2023-6-4 11:08. The ten-year development of chemical equipment was praised, and China's prosperity and strength in the prosperous age were brought to the fore. Everyone's participation is more lively and the sea is more exciting with you. Everyone is welcome to participate in more forum exchanges and discussions. Everyone pays attention to safety and knows how to respond to emergencies. * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * Recently, the coke oven locomotive intelligent management and control platform jointly developed by Tongchuang Xintong and Jianlong Xigang has been officially launched. This marks the first stage achievement of unmanned driving technology for tamping coke oven locomotives in alpine and cold areas in China. The realization of this achievement provides a successful case for the application of driverless technology in the industrial manufacturing field, and also demonstrates the technical strength of Chinese enterprises in this field. In the coking production of the traditional five major coking vehicles, the driver relies entirely on visual accuracy and manual operation for positioning. The employees are highly nervous and the labor intensity is high. Since the 1.4 million-ton coke oven was put into production, the average accuracy of one-time alignment of the locomotives has only reached 75%. Jianlong Xigang's unmanned five-vehicle coking vehicle project combines technologies such as mid-site model control, coded cables and optically encoded redundant address detection, and adds the factors that affect the locomotive positioning accuracy due to changes in working conditions and locomotive load conditions, and develops a dynamic positioning algorithm. The locomotive positioning accuracy breaks through the limitations of the human eye. The current address detection accuracy reaches 1 mm, the automatic walking alignment accuracy deviation is less than ±5 mm, and the locomotive's one-time alignment rate reaches 99%. In the practice of coking production, the "five major vehicles" of coke quenching vehicles, coke blocking vehicles, coke pushing vehicles, coal loading vehicles, and smoke guide vehicles operate frequently. They need to operate on the move, and at the same time, one machine has multiple functions and restricts each other. Risk points such as squeezing, pressing, collision, and collision are superimposed, which requires strong cooperation in operations, high labor intensity for employees, and difficult work safety management and control. In order to solve related pain points, Jianlong Xigang actively promoted the research and development and application of unmanned driving technology for the "five major vehicles" in the coking process based on safe and stable production, improving per capita labor efficiency, and optimizing operating levels. After preliminary operation tests, it has obvious advantages over manual driving operations.
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