4results about How to "High process requirements" patented technology

The invention belongs to the technical field of industrial automation and intelligent manufacturing, and particularly relates to a robot ultrasonic polishing method, device and system.The robot ultrasonic polishing method comprises the steps that a robot ultrasonic polishing tool is calibrated, a polishing workpiece is positioned, and the position of the polishing workpiece under robot base coordinates is determined; based on the model information of the to-be-polished workpiece, a polished workpiece model is constructed and analyzed; based on the to-be-polished workpiece model analysis information, a polishing area is divided, and an ultrasonic polishing path of the robot is planned; interference analysis of the path points is carried out on the planned polishing path, and robot ultrasonic polishing of the workpiece is carried out according to the interference analysis result of the path points; and the polishing effect of robot ultrasonic polishing is evaluated, closed-loop feedback of robot ultrasonic polishing is conducted in combination with the polishing effect evaluation result, and robot ultrasonic polishing technological parameters are adjusted in real time according to the feedback result.

The utility model discloses a partially perforated film which comprises a middle functional layer and base material layers tightly attached to the upper surface and the lower surface of the functional layer, the functional layer is provided with perforated holes corresponding to a front camera and an optical controller of equipment, the perforated holes are filled with transparent adhesive tape, and the transparent adhesive tape is filled with transparent adhesive tape. And the transparent adhesive tape is extruded into a light-transmitting layer by the base material layers on the upper and lower surfaces. According to the technical scheme of the utility model, the normal function of the front-facing camera is realized by filling the transparent adhesive tape in the through hole on the peep-proof, blue-light-proof and other functional layers to form the transparent layer.

The utility model provides a mixed conveying line body and a conveying system. The mixed conveying line body comprises a first conveying line body, a second conveying line body, a supporting module and a rotor. The first conveying line body is a magnetic drive conveying line body; the second conveying line body and the first conveying line body are both used for conveying rotors. The second conveying line body is located on at least one of the front side, the rear side, the left side and the right side of the first conveying line body in the conveying direction of the rotor. The second conveying line body is at least one of a plate chain line body, a conveying belt line body and a roller line body; the supporting module is located on at least one side of the front side, the rear side, the left side and the right side of the first conveying line body and / or the second conveying line body in the rotor conveying direction. The supporting module comprises a supporting piece arranged in the rotor conveying direction. The rotor is supported by the supporting piece, in the rotor conveying process, friction between the rotor and the supporting piece is rolling friction, the friction coefficient of the rolling friction is mu, and mu is larger than or equal to 0.05 and smaller than or equal to 0.12; or the friction between the rotor and the supporting piece is static friction.

The application discloses a clothing sales prediction system based on big data analysis and relates to the technical field of data processing, solves the technical problems that it is difficult to process the data in the clothing production and sales process after collection and integration, distributed processing is carried out by using Apache Spark, clustering analysis is difficult to be carried out by using a clustering algorithm on Spark, the correlation between clothing picture data and sales data is difficult to be mined, an association relationship is difficult to be mined by using an Apriori algorithm, and a mixed prediction model is difficult to be constructed to carry out clothing sales prediction and real-time monitoring. The application can efficiently process various clothing data by using a distributed computing processing module and deeply mine and analyze by using a data mining model, and finally, precise sales prediction can be carried out by constructing a mixed prediction model and updating model parameters in real time.