9results about How to "Improve culling efficiency" patented technology

The utility model belongs to the cigarette production technical field, concretely relates to a kind of on-line automatic adjusting device of secondary winnowing air inlet ventilation quantity of cigarette machine, the device includes: porous baffle, is blocked in the air inlet place;Drive arrangement, the drive arrangement non-drive end is fixedly installed in the lower surface of the porous baffle;Wear plate, one end is fixedly connected in the drive end of the drive arrangement, the other end is attached to the hole face of the porous baffle;The drive arrangement drives the wear plate to make relative translation along the hole face of the porous baffle, adjusts area by covering / exposing hole to change the effective area of porous baffle aperture, to realize the on-line automatic adjustment of air inlet ventilation quantity.The utility model replaces artificial knob or valve preset by automation control completely, reduces the working intensity of operator, and reduces the equipment downtime or debugging frequency caused by improper human operation, and then reduces maintenance cost.

The utility model provides a CCD visual inspection mechanism for detecting the LED support bending angle relates to visual inspection technical field, including controller, first conveying device, support station, lifting support device, gantry translation mechanism, hydraulic punching device, camera assembly, second conveying device, first conveying device, support station, second conveying device are arranged in proper order and link up at the beginning and end, camera assembly fixed connection in the mobile end other side of gantry translation mechanism and towards below, hydraulic punching device is located in the below of lifting support device and is aligned with lifting support device, controller is connected with first conveying device, second conveying device, lifting support device, gantry translation mechanism, hydraulic punching device, camera assembly electricity respectively, the utility model discloses can in the process of CCD detection automatically eliminate the defective product among LED support, improve the elimination efficiency of defective product, and then improve the yield of production.

The invention provides boxing and stacking equipment and a working method thereof.The boxing and stacking equipment comprises a rack and a box body defect detection mechanism, a box body stacking mechanism, an opening expanding and boxing mechanism and a mechanical arm which are arranged on the rack, the box body defect detection mechanism comprises a detection camera assembly, a sensor assembly, a conveying belt and a defect removing assembly, and the conveying belt is arranged on the rack; the conveying belt can drive boxes placed on the conveying belt to move in the conveying direction, the sensor assembly is arranged at the inlet end of the conveying belt, the sensor assembly, the detection camera assembly and the defect removing assembly are sequentially arranged in the conveying direction, the box stacking mechanism comprises a stacking plate and an adsorption head, and the opening and boxing mechanism comprises a push plate assembly and a supporting plate assembly. The pushing plate assembly and the supporting plate assembly are arranged on the two sides of the stacking plate respectively, the box sealing mechanism comprises a cover plate folding assembly, a linear sealing machine core, a corner edge sealing machine core and an adhesive tape supporting and pasting assembly, the cover plate folding assembly is arranged at one end of the linear sealing machine core, and the adhesive tape supporting and pasting assembly is arranged at one end of the corner edge sealing machine core.

The invention discloses infrared light and vision fused vegetable dehydrating equipment and a foreign matter removing method, and relates to the technical field of food processing, sorting and detection. The device is composed of a feeding and conveying assembly, a vertical plate arranged on the side of a transmission belt, an electric control box arranged on the vertical plate, an infrared light source assembly, a visible light source assembly, corresponding lenses, a limiting baffle, a slidable nozzle assembly, a waste tank and the like. An image processing unit in the electric control box is used for registering and fusing to identify the foreign matters, the time and the transverse position of the foreign matters reaching the nozzle position are calculated by combining the running speed of the transmission belt, and the nozzle assembly is driven to transversely align along the limiting baffle and spray at a fixed point to blow the foreign matters into the waste tank, so that the foreign matters in the dehydrated vegetables are efficiently, accurately and automatically removed; missing detection and mistaken elimination are reduced, and the product quality and the production automation level are improved.

The application discloses a method and device for removing obstacle point clouds from a point cloud map, and relates to the technical field of automatic driving. The method comprises the following steps: identifying non-ground point clouds from a point cloud map; inputting the non-ground point clouds into an obstacle detection model to obtain position information of a detection frame and a category of an obstacle surrounded by the detection frame; processing each frame of point clouds in turn according to the chronological order, tracking each detection frame based on the position information and the category of the obstacle, obtaining the detection frame surrounding the obstacle in each frame, and removing the point clouds located in the detection frame. The embodiment can improve the efficiency of removing obstacle point clouds.

The utility model relates to a high-precision automatic rejecting device, which belongs to the technical field of die cutting product rejecting, and comprises a support component, a moving mechanism for driving a device to move back and forth is arranged at the top of the support component, a connecting plate is fixed at the top of the moving mechanism, a secondary linear module is fixed at the top of the connecting plate, and a secondary linear module is fixed at the top of the secondary linear module. And a connecting frame is fixed to the output end of the second-stage linear module, a winding mechanism for stably winding the adhesive tape is arranged on the back face of the connecting frame and located above the second-stage linear module, and an unwinding assembly for releasing the adhesive tape is arranged on the back face of the connecting frame and located on the left side of the winding mechanism. According to the high-precision automatic removing device, automatic conveying of the adhesive tape is achieved through cooperation of the winding mechanism and the unwinding assembly, defective products are accurately adhered through cooperation of the telescopic assembly, the good removing effect is achieved, and due to the fact that the adhesive tape can continuously move, removing can be continuously conducted, and the removing efficiency is further improved.

The utility model relates to the technical field of fruit and vegetable sorting, and discloses a small fruit removing mechanism and a fruit and vegetable conveying device. The small fruit removing mechanism comprises a rack, a removing assembly and a flexible blocking assembly. The removing assembly is installed on the machine frame, the removing assembly comprises a first conveying channel, a removing groove is formed in the removing assembly, and the removing groove is located in the first conveying channel; the removing groove is used for enabling fruits and vegetables to fall out of the first conveying channel; the flexible blocking assembly is installed on the machine frame, and the flexible blocking assembly is partially located in the first conveying channel and located above the removing groove. Through the arrangement, the technical problem that in the prior art, the small fruit removing efficiency of a small fruit removing mechanism is low is solved.

A paper fiber measurement method and a paper fiber measurement device, the paper fiber measurement method comprising the following sequentially executed steps: a defect area removal step, removing a defect area in a to-be-detected image and saving a defect-free effective image; an image partition cutting step, dividing the defect-free effective image into a plurality of non-overlapping sub-areas and recording effective pixel areas of the sub-areas; a partition weighting analysis step, calculating weights according to the effective pixel areas of the sub-areas, and performing multi-dimensional uniformity index analysis on each sub-area; and a comprehensive weighting result step, performing weighted calculation on multi-dimensional uniformity indexes of the sub-areas based on the weights, and outputting comprehensive detection data of fiber distribution uniformity. The paper fiber measurement method and the paper fiber measurement device can remove the defect area in the paper image, accurately output the fiber distribution uniformity index through the partition area weighting and multi-dimensional quantitative analysis, and improve the detection precision and reliability.

The application discloses an equipment outlier elimination method, system, device and medium, which is applied to the field of equipment running state monitoring, obtains historical running data of equipment of multiple measuring points, performs sliding window processing on the historical running data, calculates characteristic values of each measuring point in each sliding window to obtain corresponding characteristic frequency, determines data to be deleted according to the characteristic frequency, and repeats the operation until there is no abnormal data in the state matrix. Through the above method, unsupervised anomaly detection is performed, human intervention is not needed or only a small amount of human intervention is needed, a fixed threshold value does not need to be set, labor is greatly liberated, and identification and elimination efficiency is greatly improved. Moreover, the distribution of the equipment running data can be comprehensively considered through the method, and the problem that too many normal values are eliminated and abnormal values are retained due to setting of a fixed elimination threshold value can be better solved.