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51results about How to "Simple and efficient structure" patented technology

Fine sand recycling system and working method thereof

The invention relates to a working system for solving a concrete raw material recovery problem, and in particular relates to a fine sand recycling system with high recovery rate and a working method thereof. The recycling system mainly comprises a gravel screening mechanism, a sand washing device, a fine sand deposition recycling device and a waste residue pool, wherein the gravel screening mechanism comprises a movable base, a screening machine frame, a supporting roller, a rolling belt, a first screening layer, a second screening layer, a sand material recycling box and a vibrator; the sandwashing device mainly comprises a vertical support, a wheel-bucket type sand washing machine, a connecting pipe fitting, a sand washing pool and a power device of the sand washing pool; and the fine sand deposition recycling device is installed below the sand washing device, and mainly comprises a fine sand depositing bucket, a leading-out groove, a spiral revolving machine and a galvanized steelpipe. According to the working system and the working method, the components of all the mechanisms are sequentially subjected to works of filtration separation, elutriation separation and rotary separation, so that the recovery rate of fine sand can be improved, the content of fine particles in a sand material is improved, the manufacturing cost of the engineering construction can be reduced, andthe mixability of the concrete is stable and reliable.
Owner:THE GUANGDONG NO 3 WATER CONSERVANCY & HYDRO ELECTRIC ENG BOARD CO LTD

Automatic corn thresher for processing selenium-enriched nutritional tender corn paste japonica

InactiveCN112042398AAvoid stickingFull threshing effectThreshersAgricultural engineeringBran
The invention relates to the technical field of agricultural product production and processing, in particular to an automatic corn thresher for processing selenium-enriched nutritional tender corn paste japonica. The automatic corn thresher comprises a mounting frame, a threshing box, a threshing cylinder, a first rotary driving mechanism, a threshing rotor, a second rotary driving mechanism, a bran screening mechanism and a vibrating mechanism; the mounting frame can be movably mounted on the vibrating mechanism in the vertical direction; the threshing box is obliquely mounted at the top endof the mounting frame; the threshing cylinder is of a frustum-shaped structure and is rotationally arranged on the threshing box, and the axis of the threshing cylinder is obliquely arranged; the first rotary driving mechanism is mounted on the threshing box, and the output end is rotationally connected with one end of the threshing cylinder; the two ends of the threshing rotor are rotationally connected with the threshing box, and the axis of the threshing rotor is collinear with the axis of the threshing cylinder; the second rotary driving mechanism is mounted on the threshing box, and the output end is rotationally connected with one end of the threshing rotor; the bran screening mechanism is installed below the threshing box, and the top end of the bran screening mechanism is communicated with the bottom of the threshing box; and the vibrating mechanism is mounted below the mounting frame. The automatic corn thresher in the scheme is efficient and convenient in corn threshing and stable in structure.
Owner:付国生

Method and device for segmenting drivable road surface in an indoor environment, medium and robot

The invention discloses a method and device for segmenting a drivable road surface in an indoor environment, a medium and a robot, and the method comprises the following steps: collecting indoor road surface pictures, and preprocessing the road surface pictures to form a training set; constructing a pavement segmentation network model; training the pavement segmentation network model by using the pictures of the training set; and collecting an indoor real-time road surface picture, and detecting the road surface position and the road surface size in the real-time road surface picture based on the trained road surface segmentation network model. An existing semantic segmentation algorithm and an existing semantic segmentation model are improved in a targeted mode, meanwhile, a Softharding strategy is adopted, the network over-fitting phenomenon is relieved, the network structure is simple and efficient, the calculation speed is high, and therefore the accuracy and real-time performance of road surface segmentation are guaranteed, the robot is better assisted in walking safely indoors, and the robot can walk more safely. And the danger that the robot falls from steps, escalators and other areas is reduced.
Owner:SHANGHAI YOGO ROBOTICS CO LTD
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