Abstract: Disclosed is a patterned optical film, comprising a patterned alignment layer having a plurality of striped retardation regions arranged in strips with different depths, a liquid crystal filling layer provided to cover and planarize the striped retardation regions, and a polarizing layer disposed on the liquid crystal filling layer.

Abstract: A method for emulating an automated guided vehicle (AGV) system includes: obtaining sensor data of a virtual AGV in an emulation environment; determining a device state of a virtual device interacting with the virtual AGV in the emulation environment; sending the sensor data and the device state to the AGV system, and receiving AGV motion control information and device operation information from the AGV system. The AGV motion control information and the device operation information are generated by the AGV system based on the sensor data and the device state. The motion of the virtual AGV and the virtual device is controlled in the emulation environment based on the AGV motion control information and the device operation information, respectively. Time and effort spent by a deployment engineer on deployment and debugging are reduced, factory downtime is decreased, and an entire AGV system and an AGV sensor can be validated.

Abstract: Various embodiments include prediction model learning methods for industrial systems, including a simulation according to a simulation task on a platform. Some methods include: using statistical metrics to quantify a simulation task to extract features; extracting parameter groups from system modules, adjusting the values of the parameter groups, and triggering a simulation for the industrial system on the simulation platform based on a plurality of parameter groups having different values; recording performance metrics according to the values of the parameter groups after the parameter adjustment; and training data with a machine learning algorithm based on the features of the simulation task, the corresponding parameter groups having different values and the performance metrics, and generating a prediction model.

Abstract: A geometric model-based evaluation method, system, and apparatus for a key performance indicator in a production procedure are disclosed. The method includes extracting a geometric characteristic and a characteristic attribute thereof from a product model; converting the geometric characteristic into a process characteristic so as to obtain the steps of a process related to a whole production procedure of producing a product, and devices corresponding to the steps of the process; and based on the steps of the process related to the production procedure and the devices corresponding to the steps of the process, simulating the whole industrial manufacturing procedure of the product, and outputting the KPI of the industrial manufacturing. At least one embodiment can evaluate the KPI of the whole industrial manufacturing procedure of the product according to the product model.

Abstract: An organic light emitting diode display is provided. The organic light emitting diode display comprises an organic light emitting diode panel, a quarter-wavelength retarder disposed on the organic light emitting diode panel, a polarizer disposed on the quarter-wavelength retarder, an adhesive layer disposed on the polarizer and a diffraction grating film adhered to the polarizer by the adhesive layer. The diffraction grating film comprises a substrate and a first diffraction grating layer comprising a plurality of first gratings aligned with a first direction disposed on the substrate.

Abstract: A liquid crystal display (LCD) is provided, comprising a LCD panel, and a color enhancement film disposed on a light exit surface of the LCD panel. The color enhancement film includes a substrate, a strip-shaped micro-prism layer, and a filling layer. The strip-shaped micro-prism layer has a plurality of strip-shaped micro-prisms arranged in a first direction, and each of the strip-shaped micro-prisms has at least one inclined light-guide surface, and the inclined light-guide surface has an included angle with a normal direction of a surface of the color enhancement film on a cross section perpendicular to the first direction, wherein, the strip-shaped micro-prism layer has a first refractive index n1, the filling layer has a second refractive index n2, and n2 is more than n1. The LCD can improve the color-shift problem at side viewing angles without affecting the display quality of the front viewing angles.

Abstract: The present disclosure relates to a light bar structure, comprising: a circuit substrate, a spot light source matrix, and a light guide film. The light guide film comprises a plurality of strip-shaped micro lenses on the surface opposite to the spot light source matrix, and these strip-shaped micro lenses further comprise a plurality of gratings on the surfaces thereof. With the refraction and diffraction of the light guiding film, the diffusion angle of the light emitted from the spot light source matrix can be increased in one dimension, and the light bar structure can exhibit a uniform one-dimensional pattern.

Abstract: An organic light emitting diode display is provided. The organic light emitting diode display comprises an organic light emitting diode panel, a quarter-wavelength retarder disposed on the organic light emitting diode panel, a polarizer disposed on the quarter-wavelength retarder, an adhesive layer disposed on the polarizer and a diffraction grating film adhered to the polarizer by the adhesive layer. The diffraction grating film comprises a substrate and a first diffraction grating layer comprising a plurality of first gratings aligned with a first direction disposed on the substrate.

Abstract: A method, apparatus, system, storage medium, processor, and terminal for identifying a device are disclosed. The method for identifying a device includes: acquiring image data or video data that includes a device to be identified; acquiring, based on the image data or video data, characteristic information about the device to be identified; acquiring CAD model data about a plurality of device types; acquiring, based on the characteristic information and CAD model data, type information about a target type that identifies the device to be identified; acquiring a device layout document, the device layout document indicating a layout relationship among a plurality of devices that are of a plurality of device types; and acquiring, based on the target type and the layout relationship, target device information about the device to be identified. As such, field devices are identified efficiently by pattern recognition technology, device model, and layout design document data.

Abstract: A method, apparatus, system, storage medium, processor, and terminal for identifying a device are disclosed. The method for identifying a device includes: acquiring image data or video data that includes a device to be identified; acquiring, based on the image data or video data, characteristic information about the device to be identified; acquiring CAD model data about a plurality of device types; acquiring, based on the characteristic information and CAD model data, type information about a target type that identifies the device to be identified; acquiring a device layout document, the device layout document indicating a layout relationship among a plurality of devices that are of a plurality of device types; and acquiring, based on the target type and the layout relationship, target device information about the device to be identified. As such, field devices are identified efficiently by pattern recognition technology, device model, and layout design document data.