Water garbage cleaning and transporting machine based on triz theory
Номер патента: ZA202305730B
Опубликовано: 20-12-2023
Автор(ы): Changjin LI, Dewen LIU, Ming Li, Mufan LI, Xiuhong Wang, Xuecheng Zhang, Xuejiao Li, Yijing Zhang
Принадлежит: Univ Zhengzhou Aeronautics
Опубликовано: 20-12-2023
Автор(ы): Changjin LI, Dewen LIU, Ming Li, Mufan LI, Xiuhong Wang, Xuecheng Zhang, Xuejiao Li, Yijing Zhang
Принадлежит: Univ Zhengzhou Aeronautics
Реферат: The invention provides a water garbage cleaning and transporting machine based on TRIZ theory, which relates to the technical field of garbage cleaning equipment. The water garbage cleaning and transporting machine based on TRIZ theory comprises a shell, wherein a garbage inlet is arranged on the shell; a garbage collecting device, which is arranged inside the shell and used for receiving the garbage entering from the garbage inlet; a water draining device, which is arranged on the shell and used for draining the water in the garbage collecting device to the outside of the shell; a self-settling device, which is arranged on the shell and changes the gravity of the garbage cleaning and transporting machine by changing its own water storage capacity, so as to control the running height of the garbage cleaning and transporting machine in the water. The invention can detect the position of water surface garbage in real time, reduce the useless work of garbage truck, shorten the waste time of work, and improve the power system of unmanned water garbage truck into a dual-engine double-propeller power system, so that it can control the running direction of unmanned water garbage truck by controlling the rotating speed of two propellers when turning or turning around.
Dam deformation prediction system based on deep learning
Номер патента: LU501556B1. Автор: Youliang Chen,Zhaoru Wang. Владелец: Univ Jiangxi Sci & Technology. Дата публикации: 2022-08-29.