行业-电子政务-一种锂电割草机.zip
2021-08-23 13:03:52 824KB
割草环卫机全套图纸-几何模型
基于割草机搜索策略(LM)实现森林火灾无人机的路径规划matlab源码.md
2021-08-09 14:02:57 7KB matlab
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行业分类-互联网-具智能机器人割草机互联网物联架构的智慧花园一站多机.zip
行业分类-电子电器-割草机及电池管理系统.zip
一种智能割草机路径规划方法,吴瀛东,王兴松,智能割草机是新一代的园林智能设备,它能够代替人工进行绿化草坪的修剪和维护工作。智能割草机是一个相当复杂的系统,对它的研究
2021-07-02 16:04:20 651KB 首发论文
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智能割草机专用标准,iec 60335-2-107, It has been assumed in the drafting of this International Standard that the execution of its provisions is entrusted to appropriately qualified and experienced persons. This standard recognizes the internationally accepted level of protection against hazards such as electrical, mechanical, thermal, fire and radiation of machines when operated as in normal use taking into account the manufacturer's instructions. It also covers abnormal situations that can be expected in practice and takes into account the way in which electromagnetic phenomena can affect the safe operation of machines. This standard takes into account the requirements of IEC 60364 as far as possible so that there is compatibility with the wiring rules when the machine is connected to the supply mains. However, national wiring rules may differ. If a machine within the scope of this standard also incorporates functions that are covered by another part 2 of IEC 60335, the relevant part 2 is applied to each function separately, as far as is reasonable. If applicable, the influence of one function on the other is taken into account. When a part 2 standard does not include additional requirements to cover hazards dealt with in Part 1, Part 1 applies.
2021-05-12 15:22:58 2.24MB 智能割草机 50636-2-107 robotmower robot
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最新完整英文版UL 1447:2020 Standard for Electric Lawn Mowers(电动割草机标准)。 本标准涵盖根据ANSI / NFPA 70使用的额定电压为250伏或以下的带电缆连接的电动割草机,还包括电池供电的割草机,电池供电的割草机在本标准的补充条款中有所规定。 1.3这些要求不包括ANSI / NFPA 70中定义的在危险场所使用的设备。不适用于闷热型割草机,园林拖拉机或其附件,梿状割草机,镰刀割草机,机器人割草机或打算用于商业用途的割草机。
2021-04-07 09:05:03 20.76MB ul 1447 割草机 mower
可以实现割草机的红外遥控,经典PID控制,通过配置编码器进行测速,代码有详细解释,同时我的主页还有关于这个控制代码的说明
2021-03-10 19:01:48 11.76MB STM32 嵌入式 单片机 编码器测速
覆盖路径规划是割草机的重要问题之一,这给我们的生活带来了极大的便利。 本文采用分层划分策略来完成机器人的环境建模,并采用双重启发式优化算法来规划最优覆盖路径。 蚁群优化(ACO)用于上层的全局路径规划,禁忌搜索(TS)用于下层的局部覆盖范围规划。 最后进行了仿真实验,结果表明该方法获得了满意的覆盖路径规划。
2021-02-26 16:07:04 187KB Path planning Planning Partitioning
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