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Unmanned construction intelligent road roller control method, device, equipment and system
The invention provides an unmanned construction intelligent road roller control method, device, equipment and system, and relates to the technical field of road rollers, a plurality of groups of compaction data of a preset road roller in a preset time period are obtained, each group of compaction data corresponds to a sub-time period in the preset time period, each group of compaction data comprises compaction data of at least one compaction layer, and the compaction data of the at least one compaction layer correspond to the sub-time period in the preset time period; the compaction data of each compaction layer comprises an identifier of a compaction grid and a corresponding compaction degree, calculating the compaction degree of the compaction grid in a corresponding sub-time period according to the compaction data of at least one compaction layer, and calculating the compaction degree of the compaction grid in a corresponding sub-time period according to the compaction degrees of the compaction grid in a plurality of sub-time periods in a preset time period. The compaction completion degree of the compaction grid in the preset time period is determined, the compaction track of the preset road roller in the next time period of the preset time period is controlled according to the compaction completion degree of the compaction grid in the preset time period, the compaction effect of the road roller is improved, the road roller can automatically conduct rolling according to the compaction track, and the labor cost is saved.
本申请提供一种无人施工智能压路机控制方法、装置、设备及系统,涉及压路机技术领域,获取预设压路机在预设时间段内的多组压实数据,每组压实数据对应预设时间段内的一个子时间段,每组压实数据包括至少一个压实图层的压实数据,每个压实图层的压实数据包括压实网格的标识和对应的压实度,根据至少一个压实图层的压实数据,计算压实网格在对应子时间段的压实度,根据压实网格在预设时间段内多个子时间段的压实度,确定压实网格在预设时间段的压实完成度,根据压实网格在预设时间段的压实完成度,控制预设压路机在预设时间段的下一时间段内的压实轨迹,提高压路机的压实效果,并且,压路机可自动根据压实轨迹进行碾压,节省人力成本。
Unmanned construction intelligent road roller control method, device, equipment and system
The invention provides an unmanned construction intelligent road roller control method, device, equipment and system, and relates to the technical field of road rollers, a plurality of groups of compaction data of a preset road roller in a preset time period are obtained, each group of compaction data corresponds to a sub-time period in the preset time period, each group of compaction data comprises compaction data of at least one compaction layer, and the compaction data of the at least one compaction layer correspond to the sub-time period in the preset time period; the compaction data of each compaction layer comprises an identifier of a compaction grid and a corresponding compaction degree, calculating the compaction degree of the compaction grid in a corresponding sub-time period according to the compaction data of at least one compaction layer, and calculating the compaction degree of the compaction grid in a corresponding sub-time period according to the compaction degrees of the compaction grid in a plurality of sub-time periods in a preset time period. The compaction completion degree of the compaction grid in the preset time period is determined, the compaction track of the preset road roller in the next time period of the preset time period is controlled according to the compaction completion degree of the compaction grid in the preset time period, the compaction effect of the road roller is improved, the road roller can automatically conduct rolling according to the compaction track, and the labor cost is saved.
本申请提供一种无人施工智能压路机控制方法、装置、设备及系统,涉及压路机技术领域,获取预设压路机在预设时间段内的多组压实数据,每组压实数据对应预设时间段内的一个子时间段,每组压实数据包括至少一个压实图层的压实数据,每个压实图层的压实数据包括压实网格的标识和对应的压实度,根据至少一个压实图层的压实数据,计算压实网格在对应子时间段的压实度,根据压实网格在预设时间段内多个子时间段的压实度,确定压实网格在预设时间段的压实完成度,根据压实网格在预设时间段的压实完成度,控制预设压路机在预设时间段的下一时间段内的压实轨迹,提高压路机的压实效果,并且,压路机可自动根据压实轨迹进行碾压,节省人力成本。
Unmanned construction intelligent road roller control method, device, equipment and system
一种无人施工智能压路机控制方法、装置、设备及系统
WANG JIE (author) / ZHOU WUYANG (author) / ZHOU CHUNFENG (author) / ZHU JIANFENG (author) / XU HAIYAN (author)
2023-04-11
Patent
Electronic Resource
Chinese
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