Abstract: Provided is a model training method, a data processing method and related apparatuses, relating to the technical fields of large model, image processing, and computer vision. The method includes: obtaining a historical process flow card set for spinning process; extracting a handwritten area from each historical process flow card; classifying the handwritten area to obtain a handwritten digit image block and a handwritten text image block; constructing a digit recognition model of different handwritten digit categories based on the handwritten digit image block, to extract a target digit from a newly-added process flow card; and constructing a text recognition model of different handwritten text categories based on the handwritten text image block, to extract a target text from the newly-added process flow card; wherein the target digit and the target text are used to construct a process flow database for the spinning process.

Abstract: Provided is a yarn spindle packaging system, a control method thereof, an electronic device and a storage medium, relating to technical field of chemical fiber intellectualization.

Abstract: Provided is a spinning workshop inspection method, an electronic device and a storage medium, relating to technical fields of computers. The spinning workshop inspection method includes: acquiring first image information of an inspection passage when an inspection robot inspects a first position corresponding to the first spinning box in the inspection passage; determining a second spinning box from spinning boxes when the first image information includes a first detection object; acquiring second image information of the inspection passage when the inspection robot inspects a second position corresponding to the second spinning box in the inspection passage; and determining state information of the first detection object based on the first and second image information.

Abstract: Provided is a yarn spindle packaging system, a control method therefor, an electronic device and a storage medium, relating to the field of chemical fiber intelligent technology. The yarn spindle packaging system includes: a control device and a plurality of stand-alone devices, where the control device is configured to generate a packaging task and a device control parameter of each stand-alone device for a target type of yarn spindles according to a packaging requirement; and adjust the packaging task and the device control parameter of each stand-alone device in combination with work data returned by each stand-alone device; and each stand-alone device is configured to receive the corresponding packaging task and device control parameter sent by the control device; execute the corresponding packaging task based on the corresponding device control parameter; and return the work data corresponding to the corresponding packaging task to the control device.

Abstract: Provided is a yarn box, a yarn stripping method, an electronic device and a storage media. The yarn box includes a support, a yarn stripping rod and a yarn receiving rod; where a first end of the yarn receiving rod is connected to the support, a first end of the yarn stripping rod is slidably connected to the support, the yarn stripping rod is configured to slide to a yarn stripping position corresponding to a first yarn receiving rod among the yarn receiving rod when multiple yarn spindles are sleeved outside the first yarn receiving rod and the number of yarn spindles of the first yarn receiving rod reaches a set condition, the yarn stripping rod is provided with multiple yarn strippers corresponding to the multiple yarn spindles one by one, and the yarn strippers are configured to strip fiber yarn on outer surfaces of the corresponding yarn spindles.

Abstract: Provided is a parameter processing method, an electronic device and a storage medium. The method includes: determining T full-winding rates of a yarn spindle wound by a winding machine; and under the condition where it is determined that M full-winding rates in the T full-winding rates do not meet a requirement of a preset full-winding rate, determining a candidate characteristic parameter set, wherein a candidate characteristic parameter included in the candidate characteristic parameter set is the characteristic parameter that is selected from N first characteristic parameters corresponding to a full-winding rate not meeting the requirement of the preset full-winding rate and that causes the full-winding rate not meeting not to meet the requirement of the preset full-winding rate.

Abstract: Provided is a detection method for a spinning workshop, an electronic device and a storage medium; relating to the field of data processing. The method includes: performing image collection on a process control device of a spinning box in the spinning workshop to obtain an image to be processed; extracting a first image feature from the image to be processed; and processing the first image feature based on a decoder network to obtain a fault detection result. The decoder network comprises a plurality of decoder modules connected in series in sequence. Each decoder module includes a decoder layer and an adaptive classification head. The adaptive classification head is configured to perform classified prediction on an output feature of the decoder layer to obtain a first fault classification result. The fault detection result output by the decoder network includes a second fault classification result and a fault position.

Abstract: Provided is a training method for an image recognition model, a spinneret plate detection method, a spinneret plate detection device, and a storage medium, relating to the fields of image recognition and deep learning technologies. The training method includes: processing a spinneret plate sample image based on a first image recognition model to obtain annotation state information of each micro hole in the spinneret plate sample image, wherein the spinneret plate sample image is a projection image formed on an imaging member after light emitted by a light source passes through each micro hole of a spinneret plate sample and is amplified by an amplifying member, the annotation state information is used to characterize a shape state of a micro hole corresponding thereto; and training a preset image recognition model based on the spinneret plate sample image and the annotation state information to obtain a target image recognition model.

Abstract: The present invention relates to novel Mannose-binding lectin (MBL)-associated serine protease (MASP) inhibitory compounds, as well as analogues and derivatives thereof, to processes for the preparation thereof, to the use thereof alone or in combinations for treatment and/or prevention of diseases and to the use thereof for production of medicaments for treatment and/or prevention of diseases, especially for treatment and/or prevention of renal and cardiovascular disorders and of ischemia reperfusion injuries.

Abstract: The present invention relates to novel Mannose-binding lectin (MBL)-associated serine protease (MASP) inhibitory compounds, as well as analogues and derivatives thereof, to processes for the preparation thereof, to the use thereof alone or in combinations for treatment and/or prevention of diseases and to the use thereof for production of medicaments for treatment and/or prevention of diseases, especially for treatment and/or prevention of renal and cardiovascular disorders and of ischemia reperfusion injuries.

Abstract: The present invention relates to novel Mannose-binding lectin (MBL)-associated serine protease (MASP) inhibitory compounds, as well as analogues and derivatives thereof, to processes for the preparation thereof, to the use thereof alone or in combinations for treatment and/or prevention of diseases and to the use thereof for production of medicaments for treatment and/or prevention of diseases, especially for treatment and/or prevention of renal and cardiovascular disorders and of ischemia reperfusion injuries.