214 results about "Textile production" patented technology

The invention discloses a textile equipment collaborative scheduling optimization method based on a graph neural network, and the method comprises the steps: collecting and preprocessing textile production data, and generating a symbol heterogeneous production graph; inputting an improved symbol graph neural network model, and outputting a feasibility matrix and a multi-target cost feature vector; constructing an initial scheduling solution set and initial wave group parameters, and forming an improved water wave optimization algorithm input wave group; executing improved water wave optimization algorithm iteration to generate a global optimal scheduling solution; dynamic disturbance is monitored in real time in the scheduling execution stage, and a dynamic correction scheduling scheme is generated; and fusing to an overall scheduling optimization framework, and outputting a final global optimal scheduling solution and a corresponding scheduling performance index. According to the method, the improved symbol graph neural network model and the improved water wave optimization algorithm are introduced, so that efficient collaborative scheduling and real-time optimization of the textile equipment in complex process constraint and dynamic environments are realized.

The invention relates to the field of textile production, and discloses an intelligent control method for a textile finished product production line, which comprises the following steps: acquiring a textile surface image through a camera array to obtain textile surface image data; performing fiber arrangement density analysis on the textile surface image data to obtain fiber arrangement density difference data; according to the yarn gap distribution characteristic extraction method and device, environmental factors are monitored and compensated in real time through the temperature and humidity correlation deformation correction coefficient, it is ensured that under different environmental conditions, fabric tension is kept stable, the product quality and the production stability are further improved, and the yarn gap distribution characteristic data are obtained. An equipment cooperative control model constructed by using a depth deterministic strategy gradient algorithm realizes real-time speed adjustment and tension compensation of the textile machinery group through edge computing nodes, and the collaboration and automation level of the production process are effectively improved.

The invention relates to the technical field of digital twinning, in particular to a method and a system for digitally producing textile fabrics, comprising virtual design and process simulation, physical production and real-time monitoring, predictive intervention and closed-loop control and knowledge precipitation and tracing. Compared with the defects that in the prior art, product development depends on physical proofing and experience trial and error, the research and development period is long, resource waste is serious, and design change response is slow, the digital twinborn driven high-fidelity virtual simulation scheme is adopted; by constructing a multi-scale model covering fiber-yarn-fabric and a multi-physics field coupling engine, defects such as chromatic aberration and skew weft can be accurately predicted and process parameters can be automatically optimized in the design stage, a traditional textile production mode is upgraded to a data-driven pre-verification mode, the development cycle of a new product is greatly shortened, and the production efficiency is improved. The raw material and energy consumption is obviously reduced, and the quick response capability of the complex customized order is improved.

The invention provides a textile flexible production line multi-material scheduling system, which comprises a physical execution layer and a multi-material scheduling layer, wherein the physical execution layer comprises reconfigurable textile production equipment; the intelligent sensing layer is arranged at key nodes of the physical execution layer; the central scheduling and control layer is in communication connection with the physical execution layer and the intelligent sensing layer; and the digital twin layer is a virtual mapping of the physical execution layer in an information space, and forms a closed loop with the central scheduling and control layer and the physical execution layer. According to the method, the perspectiveness and the global optimization capability of a scheduling decision are realized through a digital twinning technology, the system places an initial production scheduling scheme in a high-fidelity virtual production line model for millisecond-level concurrent simulation deduction, and potential process bottlenecks and quality risks during blending production of different materials are accurately predicted; and by taking the production efficiency, the energy consumption and the quality qualification rate as multi-target reward functions, completing iterative optimization of massive strategies in a virtual space, thereby obtaining an approximately globally optimal scheduling instruction before the physical production is put into use.

The invention discloses a textile production defect detection system based on image processing, and relates to the technical field of image defect detection.The textile production defect detection system comprises the following steps that a linear array CCD collects a cloth image, and illumination difference is eliminated in a standardized mode; improving an anisotropic diffusion extraction structure layer and a local contrast enhancement detail layer; performing multi-structure element morphological gradient operation, and constructing a composite gradient map according to the expansion corrosion difference value; carrying out weighted product on the detail layer, the structure layer and the frequency domain features, and carrying out normalization to generate a comprehensive feature map; performing 3 sigma threshold binarization and morphological optimization based on a feature map mean value to remove a noise region; defect contour parameters are extracted, and a physical marking device is triggered after classification coding. According to the method, through a multi-scale texture decomposition architecture, spatial separation of a complex textile texture background and defect features is realized, and structural layer extraction based on anisotropic diffusion can retain fabric macroscopic morphological features and can also inhibit interference of periodic textures at the same time.

A needle guide plate bending and milling integrated machine and a needle guide plate bending and milling method. The needle guide plate bending and milling integrated machine comprises a frame (10), a feeding mechanism (20), a bending and milling mechanism (30), and a driving mechanism (40). The feeding mechanism (20) is used for conveying a needle guide plate (1). The bending and milling mechanism (30) is located on one side of the feeding mechanism (20); the bending and milling mechanism (30) is used for bending and milling a part of the structure of the needle guide plate conveyed by the feeding mechanism (20); the bending and milling mechanism (30) comprises bending wheels (31) and a milling wheel (32); the bending wheels (31) and the milling wheel (32) are located in a same plane; the bending wheels (31) and the milling wheel (32) sequentially pass through the part of the structure of the needle guide plate. The driving mechanism (40) is separately connected to the feeding mechanism and the bending and milling mechanism (30); the driving mechanism (40) is used for driving the feeding mechanism (20) to convey the needle guide plate, and is further used for driving the bending wheels and the milling wheel of the bending and milling mechanism to sequentially pass through the part of the structure of the needle guide plate, so as to machine the needle guide plate to be suitable for textile production requirements. The needle guide plate bending and milling integrated machine enables needle guide plates to be bent and milled under the same position reference, avoiding machining errors caused by different references after multiple feedings, and also avoiding the situation where bent guide needle plates are difficult to stack and thus it is inconvenient to further mill the guide needle plates.

The invention provides an automatic control method and system for a textile production line, and relates to the technical field of textile production, and the method comprises the steps: applying a controlled dynamic excitation signal to a yarn, so as to obtain the instant response data of the yarn; according to the instant response data, physical characteristic information of the yarn is calculated; determining a running parameter range of the yarn according to the physical characteristic information; continuously acquiring running state information of the loom and the yarn, and comparing the running state information with the running parameter range to judge whether the production state is close to or beyond the boundary of the running parameter range; when it is judged that the production state approaches or exceeds the boundary of the operation parameter range, control parameters in the production process are adjusted according to the operation state information, so that the production state is maintained within the operation parameter range. The system can effectively avoid production efficiency reduction and product quality problems caused by material characteristic changes, and overcomes the limitation that a traditional system cannot adapt to new materials.

The invention discloses a fabric defect visual detection method based on fabric visual cognition, and relates to the technical field of textile production and quality control, and the method comprises the following steps: generating standardized fabric surface image data; constructing texture structure features used for representing normal fabric texture distribution; generating a fabric defect candidate area; obtaining a fabric defect detection result; and constructing a time sequence feature analysis model, generating corresponding quality risk early warning information and prevention and control suggestions, and generating batch-level quality inspection associated data. According to the method, the problems that in the prior art, fabric defect feature representation is not comprehensive, the complex defect recognition accuracy is low, and quality inspection data are difficult to continuously store and trace are solved, the fabric visual cognition model based on fabric visual cognition is constructed, and multi-dimensional texture structure features and a time sequence analysis mechanism are fused; according to the invention, accurate identification and quality risk prediction of fabric defects are realized, and the technical effects of stability, continuity and traceability of fabric quality detection are improved.

The utility model discloses a kind of ironing device for textile production, including four stand, four the top of stand is fixed with table top, the inside rotation of table top is equipped with conveying component, two are fixed with fixed component in the top front and rear symmetry of table top, the top of table top is fixedly connected with ironing component.The utility model discloses a kind of ironing device for textile production, by setting infrared heating plate, compared with traditional resistance wire heating plate or steam heating plate, infrared heating plate can produce heat instantaneously, substantially shorten preheating and temperature rising waiting time, while infrared heating plate is strong, can be heated to the inside and outside of relatively thick textile quickly, improve the uniformity of ironing, by setting synchronous belt, textile and transmission roller between by traditional point line contact change into surface contact, can effectively reduce the stretch and friction to light and thin elastic textile, to solve the problem that textile is deformed and wrinkled in conveying process.

The invention discloses a textile production quality control method, relates to the technical field of textile production, and solves the problem that it is difficult to design double algorithms to calculate initial warp and weft density, correct the initial warp and weft density in combination with yarn physical characteristics and environmental parameters, and improve the production efficiency. The technical problem of lack of construction of an exclusive regression model for effectively counteracting interference of yarn physical characteristics and environmental parameters is solved. Comprising the following steps: acquiring comprehensive production data, and generating a multi-dimensional feature map by using a multi-channel convolutional neural network; a Transform model is adopted to extract a yarn path, the initial warp and weft density is calculated by combining fast Fourier transform and local extremum detection double algorithms, the density is corrected by combining yarn physical characteristics and environmental parameters through an exclusive gradient promotion decision tree regression model, and a verification mechanism is introduced to guarantee the precision; and a density correlation type digital model is constructed to realize production data real-time mapping and parameter visual linkage debugging, and a full-link quality tracing system containing a unique tracing code is established.

The invention discloses a special shock absorber for textile equipment and a shock absorption method of the special shock absorber, the special shock absorber structurally comprises a universal ball, a shifting frame, a shock absorber and a connecting disc, the universal ball is connected with the shock absorber through the connecting disc, and the shifting frame is mounted on the surface of an outer ring of the shock absorber; the shifting frame comprises an extending table, a connecting strip, universal wheels, a supporting column, a spring, a pressing face and a connecting ring, the extending table and the connecting ring are of an integrated structure, the connecting strip penetrates through the connecting ring and is connected with the pressing face, the spring is installed between the pressing face and the extending table, the supporting column is fixed to the bottom of the pressing face, and the universal wheels are connected with the supporting column and can rotate. The universal wheels can rotate along the supporting columns, the textile equipment has high requirements for operation precision, when the equipment has position deviation due to vibration, fixing of the suction cups can be relieved only through pressing operation, the universal wheels are started for position correction, equipment parts do not need to be disassembled in the whole process, production stagnation caused by disassembly and debugging is effectively avoided, and the production efficiency is improved. And the continuity of textile production and the stability of product quality are ensured.

The invention belongs to the technical field of textile production, and particularly relates to a production method of a high-grade combed cotton and linen woven fabric. The production method comprises the steps that cotton assorting, cotton carding, pre-drawing, sliver lap forming, combing, drawing (two passes), roving, spinning and spooling are conducted on spinning, the high-grade combed cotton and linen woven fabric is obtained through slashing, weaving and finishing, the obtained fabric has softness of cotton, stiffness and smoothness of linen and high-grade gloss, and the defect problem of a cloth cover is solved.

The utility model provides an auxiliary oiling device of a drawing machine, which belongs to the field of textile production and comprises a support, a limiting mechanism used for adjusting the oiling angle and position is arranged on the side wall of the support, and an oiling assembly used for oiling drawn fibers is arranged on the limiting mechanism. The oiling assembly is provided with an oil conveying assembly used for conveying lubricating oil to the oiling assembly. According to the oil feeding assembly, when the oil feeding assembly is used, a V-shaped plate is fixedly connected with the telescopic inner pipe through welding, the bottom of the V-shaped plate is in bolted connection with a fixing plate through three fixing bolts, a stable structure is formed, the installation angle of oil absorption felt is guaranteed, disassembly and maintenance are convenient, and the oil absorption felt is of a porous fiber structure and can absorb a large amount of lubricating oil and slowly release the lubricating oil; meanwhile, the oil absorption felt is soft in texture, and mechanical damage cannot be generated when the oil absorption felt makes contact with silk threads.

The utility model discloses a godet wheel support structure which comprises a godet wheel body, a U-shaped plate is installed below the outer side of the godet wheel body in a rotating mode, a support is arranged below the U-shaped plate, a transverse frame is arranged below the support and comprises a transverse box, a sliding seat and a bottom plate, the bottom plate is arranged below the transverse box, and the sliding seat is arranged on the bottom plate. The sliding seat is fixedly installed above the bottom plate, a ball screw is rotatably installed in the transverse box, a sliding block is slidably installed on the outer side of the ball screw through a ball nut, a transmission plate is fixedly installed below the sliding block, and the lower end of the transmission plate penetrates out of the interior of the transverse box and is fixedly connected with the bottom plate; a displacement sensor is fixedly installed on the upper portion of the interior of the transverse box. According to the godet wheel adjusting device, the capability of automatically adjusting the position of the godet wheel is achieved, practicability is improved, and therefore the problems that when the godet wheel is adjusted in the left-right direction, manual operation of workers is needed, practicability is poor, and intelligence of the spinning production process is not facilitated are solved.

The invention discloses a manufacturing process of a home textile functional fabric quilt cover capable of quickly changing specifications, and relates to the technical field of home textile product production and processing. The left side, the right side and the head side of the quilt cover face and the quilt cover lining are connected in a sewing mode, the foot sides of the quilt cover face and the quilt cover lining are connected through a quilt foot closed-end zipper, the right sides of the left small piece of the quilt cover face and the left small piece of the quilt cover lining are further connected through an invisible open-end zipper, and the right sides of the right small piece of the quilt cover face and the right small piece of the quilt cover lining are further connected through another invisible open-end zipper. When one or two invisible separating zippers are opened or closed respectively, the width specification of the quilt cover can be quickly changed; the quilt cover manufacturing process mainly comprises the working procedures of cutting, sewing, steam ironing, packaging and the like. According to the invention, the influence of softness, thinness and drapability of the fiber fabric on the product quality is better controlled, the purpose of quickly changing the width specification of the quilt cover can be achieved, the quilt cover can be better matched with quilt cores with different specifications and sizes, the air permeability, comfort, softness and attractiveness of the product are maintained, and the function of one bed with multiple purposes is realized.

This invention relates to the field of textile production technology, and particularly to an integrated energy and waste recovery machine with a built-in gas purification device. It includes a heat exchange chamber and a filter chamber. A heat exchanger is installed inside the heat exchange chamber. The bottoms of the heat exchange chamber and the filter chamber are connected and include a water storage area. Multiple partitions are fixedly installed along the vertical direction inside the filter chamber, arranged in parallel intervals, dividing the space inside the filter chamber into several filter channels. Adjacent partitions are staggered vertically, connecting all filter channels into a continuous "W"-shaped airflow channel. A spray device is installed on the top wall of the filter chamber at a position corresponding to each filter channel, and a filter device is installed below the spray device. This invention, by setting up a "W"-shaped airflow channel inside the filter chamber, combined with multiple sets of spray and filter devices, extends the flow path and residence time of high-temperature waste gas, improves the cleanliness of the waste gas entering the heat exchange chamber, and ensures heat exchange efficiency.

The utility model discloses a base material conveying structure applied to a textile machine, which comprises a textile device, a base material storage rack is arranged on the rear side of the textile device, a swing rod assembly is arranged on the base material storage rack, a moving assembly capable of moving along the direction of the swing rod assembly is arranged on the swing rod assembly, and the base material storage rack is provided with a base material conveying mechanism. An adjusting assembly used for adjusting the position of the moving assembly is arranged on the swing rod assembly, an angle positioning structure used for fixing the angle of the swing rod assembly is arranged between the swing rod assembly and the base material storage frame, and two positioning roll shafts are arranged on the moving assembly at intervals. Through the innovative synergistic effect of the swing rod assembly and the moving assembly, accurate and flexible adjustment of the input direction of the base material is achieved, the stability after adjustment is ensured through a reliable positioning structure, and therefore the quality and efficiency of textile production are improved, and diversified textile process requirements are met.

The utility model provides a silk guide device and textile equipment, the silk guide device comprises a motor, a silk guide disc, a control unit electrically connected with the motor and an elastic plectrum, the motor drives the silk guide disc to rotate, and the position of the elastic plectrum is configured in a way that when silk threads are wound on the silk guide disc, the control unit is electrically connected with the motor. Silk threads are accumulated on the side wall of the draw-off godet to enable the elastic shifting piece to move, the movement of the elastic shifting piece triggers the control unit to control the motor to stop working, and therefore the draw-off godet stops rotating. According to the silk guide device, due to the ingenious design of the device structure, induction can be achieved when a small number of silk threads are wound and accumulated on the side wall of the silk guide disc, and therefore the motor of the silk guide device is triggered to stop rotating, waste and material waste are reduced, fault interruption time is shortened, cost is reduced, and meanwhile spinning production efficiency is improved.

System (1) for detecting the material composition of textiles, comprising a camera (2), at least one illumination element (3), a detection area (4) and a control unit (5), wherein the camera (2) is directed towards the detection area (4) and is connected to the control unit (5) via communication technology, wherein at least one illumination element (3) is directed towards the detection area (4), characterized in that • the control unit (5) comprises an analytical module (10), a training module (13) and a storage module (12), wherein the camera (2) is communicatively connected to the analytical module (10) and the analytical module (10) is communicatively connected to the storage module (12), wherein • the analytical module (10) includes at least one sub-module (11) for detection, which includes a machine learning model for detecting a material for textile production from image data, wherein • the training module (13) is configured for training a new machine learning model to detect a new material, wherein the control unit (5) is configured for assigning the trained model to another submodule (11) for detection.

The invention relates to the field of textile production and processing, and particularly discloses a processing method of a fabric with an ice-cold feeling, and the processing method comprises the following steps: S1, uniformly mixing and stirring 120-140 parts by weight of TPEE, 5-10 parts by weight of mica powder, 4-10 parts by weight of sepiolite particles, 2-5 parts by weight of a compatibilizer and 1-3 parts by weight of a lubricant, and carrying out melt spinning and stretching heat setting treatment to obtain TPEE cellosilk; s2, weaving the TPEE cellosilk into cloth, and performing post-treatment to obtain a finished fabric; the fabric has a continuous cool feeling, and the cool feeling effect of the fabric is not easily influenced after being washed for multiple times.

The utility model belongs to textile production technical field, concretely relates to an air purification device for textile production, including purifier body, the one side of purifier body is equipped with the air inlet, the one side top of purifier body is away from air inlet and abuts the top plate, and the bottom surface of top plate is connected spring, and the bottom of spring is connected to the surface of the circular groove that is set up on the surface of purifier body, and the bottom surface of top plate is connected to the plug-in rod. The utility model, through the mutual cooperation between purifier body, top plate, spring, plug-in rod, rubber pad, dust collecting plate, rubber strip and plug-in groove, after the rubber strip of dust collecting plate bottom is inserted into the plug-in groove, utilizes the spring on top plate and the plug-in rod and inserts into the circular groove that is set up on dust collecting plate top, thereby the position of dust collecting plate on purifier body is fixed fast, and then when needing to dismantle and maintain it, can take out the dust collecting plate that is engaged and inserted on one side of purifier body fast, thereby the efficiency of maintenance work is improved.

This invention provides an online detection and closed-loop control system and method for textile defects, comprising an image acquisition module, an image preprocessing module, a feature extraction module, a defect identification module, a data fusion module, and a control module connected in sequence, and also includes a confidence perception unit and an online incremental learning engine. This invention achieves quantitative fusion of identification confidence and feedback confidence through the confidence perception unit, and, in conjunction with the online incremental learning engine, completes effective sample screening and dynamic adjustment of the learning rate based on the fused confidence, realizing online incremental optimization of the detection model. This effectively adapts to dynamic changes in fabric types and working environments, significantly improving the generalization ability to identify minor and irregular defects in textiles, avoiding accuracy decay after long-term model operation, and balancing the requirements of high-speed production lines for real-time detection, identification accuracy, and long-term operational stability, thus comprehensively improving the intelligent management and control level of textile production.

The utility model discloses a modular adjustable needle planting head structure, including needle head, be provided with adjusting assembly on needle head, adjusting assembly first adjusting part and second adjusting part, first adjusting part with second adjusting part set up in the outer wall of needle head, one end of needle head is provided with auxiliary assembly, and the auxiliary assembly includes third adjusting part, and third adjusting part sets up respectively in one end of needle head, through setting adjusting assembly, can realize the flexible adjustment of needle planting head in multiple directions, when facing different curved surface or complex shape's base plate, this multi -angle, fine adjustment ability can ensure the accurate positioning and depth consistency of needle foot, effectively avoid the quality problem caused by needle planting angle or position deviation, and compared with traditional needle planting head, its adjustment range is wider, greatly promoted the adaptability and flexibility of needle planting machine when processing complex workpiece, satisfies the demand of needle planting precision and diversity in modern textile production.

A process for separating polyamide 6 and / or polyamide 66 from elastic polyurethane (spandex) present in a textile production waste or in an end-of-life textile product, and the recovery and recycling of at least one of the polymers thus separated is described.

The invention discloses a textile production dye wastewater circulating treatment device, and relates to the technical field of textile production dye wastewater treatment. The textile production dye wastewater circulation treatment device comprises a chemical treatment tank, the top of the chemical treatment tank is fixedly connected with a discharge pipe, the outer wall of the chemical treatment tank is fixedly connected with an electromagnetic valve, and the outer wall of the electromagnetic valve is fixedly connected with a filtering mechanism. According to the textile production dye wastewater circulating treatment device, the filter plate is obliquely mounted in the treatment bin and is in swinging connection through the bearing, so that when wastewater is sprayed to the filter plate, intercepted impurities can slide down along the inclined plane under the action of gravity, and meanwhile, the telescopic machine drives the filter plate to swing in a small range through the spring, so that the wastewater can be recycled. The two points are combined, so that the accumulation of the impurities in a main filtering area is effectively reduced, and the risk of blockage of the filtering plate is remarkably reduced.

The application discloses a kind of defect inspection platform for textile fabric, it is related to textile fabric detection equipment technical field, including inspection frame, the operating platform is fixedly installed in the front side of inspection frame, and inspection control display screen is arranged above operating platform, the rotating frame is set to the left side of inspection frame front and back, the deviation rectifying frame is fixedly installed in the left side below of inspection frame front and back, the upper support and lower support are fixedly installed in the inside upper portion of inspection frame, and upper and lower support are provided with front light source, side light source and industrial camera, the drive box is fixedly installed in the right side of inspection frame, and robot is movably arranged below drive box, and marking structure is connected and installed in the end of robot.The defect inspection platform for textile fabric is flexible, convenient to maintain, adapts to multi-material, multi-specification fabric detection, solves the problem of traditional equipment "single light source, lack of marking, no deviation", meets the continuous, high-precision quality inspection requirements of textile production line, and efficiency and quality are taken into account.

The invention discloses a linen fiber oiling agent curing device for textile production. The linen fiber oiling agent curing device comprises a fiber curing chamber, a fiber conveying system, an oiling agent spraying system and an oiling agent recycling system. The fiber conveying system is arranged outside the fiber curing chamber and corresponds to an inlet of the fiber curing chamber; the oiling agent spraying system comprises an oiling agent storage tank, an oil conveying pipe, a high-pressure pump and a plurality of groups of high-pressure atomizing nozzles; the oiling agent storage tank is arranged outside the fiber curing chamber; a plurality of groups of high-pressure atomizing nozzles are arranged at an inlet in the fiber curing chamber; and the high-pressure atomizing nozzle is communicated with an oiling agent storage tank through an oil conveying pipe and a high-pressure pump. Linen fibers are conveyed into the closed fiber curing chamber through the conveying belt, an oiling agent is evenly sprayed to the linen fibers through the high-pressure atomizing nozzles, the working efficiency can be improved, it can be ensured that the oiling agent is evenly distributed, the dripping oiling agent is recycled through the oiling agent recycling system, resources can be saved, and the production cost is reduced. The production cost is reduced.

The present application relates to the technical field of textile production, in particular to a processing method for defect samples in light-weight product defect detection, aiming to solve the technical problems of knitted product defect sample scarcity, insufficient capture of micro-scale defects, easy confusion in similar defect classification, and mismatch between generated defect positions and industrial reality, and sequentially performing image acquisition preprocessing, defect recognition and classification, improved CycleGAN model construction, iterative training, sample generation and screening, and effect verification; the present application realizes unpaired batch generation and expansion of defect samples, improves the matching degree between generated defect sample positions and industrial reality, and adapts the obtained standardized sample set to HCF-YOLO light-weight defect detection model training, greatly improving the industrial practicality of samples and the industrial application effect of the defect detection model.

The invention discloses a visual detection acceleration method based on model quantification, belongs to the technical field of visual detection, is used for visual detection of cone yarns, and comprises the steps of obtaining enterprise historical data, performing data cleaning, data integration, data transformation and data specification, and performing feature selection, feature construction and feature fusion in combination with a database. And importing a feature fusion result into a resultant yarn quality detection model in combination with domain knowledge, and performing model evaluation, comparison and optimization. By integrating the high-resolution industrial camera and an advanced image processing algorithm, non-contact and high-precision analysis of the appearance state of the cone yarn is realized. According to the technology, key information such as cone yarn winding forms, surface flaws and yarn breakage can be captured in real time, and the automation level of the spinning production process is remarkably improved.

The present application relates to the technical fields of textile production feeding, in particular to a yarn drum overturning and pushing device, comprising a workbench, a front surface of the connecting block is rotationally connected with a linkage rod, a front side of the overturning box is fixedly connected with a guide rod, an outer part of the guide rod is sleeved with a limiting seat, an inner part of the overturning box is provided with a pushing plate, and an outer part of the receiving shaft roller is sleeved with a receiving groove frame. The yarn drum overturning and pushing device is characterized in that: the yarn drum cylinder to be fed is sleeved on the sleeve shaft cylinder, then the feeding process system controls the screw rod motor to drive the threaded screw rod, so that the lifting block is lifted and pulls the connecting block through the linkage rod, drives the overturning box to overturn by 90 degrees with the bearing seat as the axis, then the limiting seat is pushed by the piston push rod through the cylinder seat, the pushing plate is controlled to advance to the outside of the overturning box, at this time, the yarn drum cylinder is pushed away from the sleeve shaft cylinder, falls into the receiving groove frame below through the guide rail plate, and the effect of automatic feeding is realized.