7results about How to "Ensure identification" patented technology

The invention relates to the technical field of garbage treatment, in particular to a garbage classification intelligent detection device which comprises a box body, box doors, a mounting frame, placement plates, a first collection box and the like, the box doors are hinged to the left side and the right side of the box body, the mounting frame is connected to the bottom in the box body, and the three placement plates are connected to the mounting frame; and first collecting boxes for collecting garbage are placed on the placing plates. Garbage can be grabbed through the mechanical arm and put into the first collecting box or the second collecting box to be classified and collected, plastic bottles can be punctured through steel needles, water or beverages in the plastic bottles can flow into a material receiving box, the water and the beverages are prevented from falling into the second collecting box, and therefore the surrounding environment can be protected; water and beverages in the material receiving box can be heated through the heater, so that the water and the beverages are evaporated to form water vapor, the water vapor is condensed into water drops after being cooled, the water is discharged through the water discharging pipe, the water can be recycled, and waste is avoided.

This application relates to a short-circuit detection device for battery cells in a winding machine, belonging to the field of battery cell detection technology. To solve the problem of short-circuited battery cells occupying processing time, it includes a detection mechanism arranged on one side of the cold pressing plate of the winding machine. The detection mechanism includes a support frame, a transverse carrier plate, a lifting drive cylinder, a detection plate body, and a detection probe assembly. The support frame is arranged on one side of the cold pressing plate, the transverse carrier plate is arranged on the support frame, the lifting drive cylinder is vertically connected to the transverse carrier plate, and the piston end of the lifting drive cylinder is connected to the detection plate body. The detection probe assembly includes positive electrode detection probes and negative electrode detection probes, which are distributed on the end face of the detection plate body. The support frame is provided with a transverse movement mechanism for driving the transverse carrier plate. This application effectively ensures that short-circuited battery cells are effectively identified and rejected before hot pressing, preventing short-circuited battery cells from occupying hot pressing equipment time and significantly improving production efficiency.

The utility model relates to hub surface detection technical field especially relates to a kind of hub surface defect automatic identification device.The utility model provides such a kind of hub surface defect automatic identification device, it further includes workbench, cabinet door, electric guide rail, sliding seat, servo motor and placement seat, two cabinet doors are rotationally provided in workbench left side, electric guide rail is installed in workbench top, sliding seat is slidingly set on electric guide rail, servo motor is installed in sliding seat bottom, placement seat is rotationally set in sliding seat top, the output shaft of servo motor is connected with placement seat.By the telescopic rod of control cylinder drive top frame ascension, top frame ascension extrudes mounting rod and moves outward, drives top block to adhere to hub inner wall, when top block and hub are completely contacted, hub is automatically locked, so as to be fixed on placement seat, realize the quick locking hub of different sizes, improve the convenience and applicability of device use.

The invention provides a mental load assessment method based on human intelligence, an edge computing device and a medium. The method comprises the following steps: determining a candidate electrode cluster under each neighborhood scale based on an electroencephalogram electrode topological structure of electroencephalogram acquisition equipment worn by a to-be-tested person; according to the electroencephalogram sample under each load dimension, calculating a classification accuracy matrix of each candidate electrode cluster under the load dimension, and determining a sensitive electrode cluster under the load dimension based on the classification accuracy matrix; according to the corresponding local electroencephalogram sample of the sensitive electrode cluster under each load level in each load dimension, determining an electroencephalogram feature template, and forming an electroencephalogram feature template set; and according to the electroencephalogram data stream of the to-be-tested person and the electroencephalogram feature template set, determining the mental load index of the to-be-tested person. According to the invention, comprehensive evaluation and refined identification of the mental load of the personnel in a multi-load dimension can be ensured.

The utility model discloses an audible and visual alarm of an emergency fire alarm system, which comprises an audible and visual alarm body and a mounting mechanism for mounting the audible and visual alarm body, a light source module is arranged at the top of the audible and visual alarm body, and a sound source module is arranged on the front side of the audible and visual alarm body. When the audible and visual alarm body is installed, the angle can be adjusted in the horizontal direction by adjusting the position of the sliding base on the arc-shaped protruding part and fixing the sliding base through the first locking piece, and the angle can be adjusted in the horizontal direction by adjusting the position of the movable end on the arc-shaped hole and fixing the movable end through the second locking piece. The angle of the audible and visual alarm body is adjusted along the vertical direction. Finally, the installation orientation can be adjusted to ensure that the light signals and the sound can be recognized by people in a main activity area.

The embodiment of the invention provides a method and device for identifying a defect or a flange based on a magnetic flux leakage signal, and the method comprises the steps: detecting a to-be-identified pipeline through a magnetic flux leakage detection instrument, and obtaining the abnormal data of the magnetic flux leakage signal; performing invalid elimination and blank filling processing on the abnormal data of the magnetic flux leakage signal to obtain an abnormal data segment; carrying out feature value extraction on the abnormal data segment to obtain a plurality of feature values used for expressing a magnetic flux leakage signal waveform; selecting a first characteristic value and a second characteristic value in the plurality of characteristic values; inputting the first characteristic value into a trained defect and flange identification model to obtain whether the to-be-identified pipeline has defects or flanges; and when the to-be-identified pipeline has defects, inputting the second characteristic value into a trained defect type identification model to obtain a defect type corresponding to the to-be-identified pipeline. According to the embodiment of the invention, defects or flanges can be identified, so that the health condition of the pipeline can be effectively detected.

This invention belongs to the field of control technology, specifically relating to a method and system for thermal management control of LED vehicle lights based on multi-source data. The method includes the following steps: acquiring the ambient temperature, vehicle speed, drive current, and drive voltage during LED vehicle light operation; calculating the actual heat generation power of the LED based on the drive current, drive voltage, and non-heating light conversion efficiency constant; using an extended Kalman filter algorithm to fuse the ambient temperature, vehicle speed, drive current, and drive voltage to obtain a filtered and noise-reduced estimated value of the LED junction temperature; calculating the system's comprehensive thermal resistance representing the current heat dissipation condition using the estimated LED junction temperature, ambient temperature, and actual LED heat generation power; and subtracting a preset target LED junction temperature from the estimated LED junction temperature to calculate the temperature error signal. This invention adjusts the heat dissipation system by outputting a control signal, achieving closed-loop junction temperature control, improving temperature tracking control accuracy, and preventing overheating and degradation of the LED vehicle lights.