75 results about "Material volume" patented technology

The invention discloses a cutterhead structure design method combining topological optimization and finite element analysis, and belongs to the technical field of aerospace high-performance cutting tool design and manufacturing. The technical problems that a traditional cutter head depends on experience design, and rigidity, chip removal and heat stability are difficult to balance are solved. According to the method, a parameterized model is established, multi-working-condition loads including cutting loads, dynamic excitation and thermal-mechanical coupling are defined, a topological optimization technology with multi-working-condition weighted flexibility minimization as a target and a material volume fraction as a constraint is adopted, and a material optimal distribution cloud picture is generated based on a variable density method; geometric reconstruction and engineering semantic interpretation are carried out on an optimization result, and a material enrichment region is converted into engineering characteristics such as an internal reinforcing rib and a variable spiral transition structure, so that a lightweight high-performance conceptual model is formed; finally, through multi-working-condition finite element verification and manufacturing manufacturability analysis, a final design scheme meeting the requirements for strength, rigidity, dynamic characteristics and thermal stability is obtained through iteration.

The invention relates to the technical field of shovel loading robots, in particular to an electric shovel bucket fullness rate and material weight detection method and system based on deep learning. Comprising the following steps: S100, acquiring point cloud data of the surface of a material pile before and after an electric shovel excavates materials in real time; image information of the bucket and the materials in the bucket after the materials are excavated is obtained in real time; s200, preprocessing the collected point cloud data and image information to improve the data quality; s300, calculating the volume of the excavated material according to the point cloud data before and after the material is excavated; s400, training a multi-task neural network model, wherein the multi-task neural network model is used for outputting an accurate material volume predicted value and a density predicted value; s500, according to the obtained predicted value of the material volume and the rated volume of the bucket, the bucket fullness rate of the bucket is calculated, a large amount of bucket fullness rate data is analyzed, and the stability of the bucket in the material excavating process is detected; and S600, the weight of the materials in the bucket is calculated according to the material volume predicted value and the density predicted value.

The invention provides a stock bin material volume detection method and device based on dynamic prompt and fusion verification, and the method comprises the steps: collecting and correcting a stock bin image, and building the coordinate mapping of the image and a real space; performing quality evaluation on the image and filtering dynamic interference to obtain a static scene image; based on the static image, performing primary segmentation through a clustering algorithm to position a material slope, and adaptively generating a dynamic prompt point or calling a static prompt point template according to a positioning result; inputting the image and the prompt point into a segmentation model to obtain a fine segmentation mask; calculating a fine-grained volume by three-dimensional reconstruction based on the fine mask; when the primary segmentation succeeds, calculating a coarse-grained volume, carrying out cross validation on the coarse-grained volume and the fine-grained volume, and outputting a final volume or judging failure according to an error range; according to the invention, through a dynamic prompt and coarse and fine granularity fusion verification mechanism, the precision of material segmentation and the robustness under a complex working condition are significantly improved.

The application provides a control method of an air separator, comprising the following steps: obtaining a material image on a feeding conveyor belt; determining a material volume flow and a material size according to the material image; determining a target opening size of an air separator adjusting valve according to the material volume flow; determining a target air speed level of the air separator according to the material size; determining a target air volume according to the target opening size of the air separator adjusting valve and the target air speed level; and controlling a fan rotating speed to work at a target rotating speed according to the target air volume. The method can realize work adjustment in the mode of the equipment, and achieves the purposes of accurate material separation and real-time processing capacity.

The invention provides a stacked material volume identification and generation method fusing single view 3D reconstruction and BIM calibration, and relates to the technical field of stacked material volume generation, and the method employs a low-cost monocular camera to collect images, and generates a three-dimensional model of stacked materials by means of an advanced deep learning model and a three-dimensional reconstruction algorithm. Through scale calibration with a virtual camera in the BIM model, the problem of scale uncertainty which is difficult to overcome in traditional single-view reconstruction is solved, so that the real volume of the stacked material can be accurately calculated. In addition, through automatic target detection, three-dimensional coordinate calculation and volume calibration processes, the measurement efficiency is greatly improved, and manual intervention is reduced. The method is not only suitable for volume measurement of static stacked materials, but also can be expanded to real-time monitoring of dynamic construction scenes, and provides powerful technical support for construction management.

The invention relates to the technical field of material volume detection, and particularly discloses a hopper material volume detection method and device, and the method comprises the following steps: S1, employing a 3D camera to obliquely shoot a material in a hopper, and generating a 3D point cloud picture; s2, in the generated point cloud image, areas with holes are detected one by one, and then each hole area is filled, so that calibration of the 3D point cloud image is realized; and S3, starting material volume detection to obtain the height difference between the surface height of the material and the bottom of the hopper, and further calculating the volume of the material in the corresponding hopper according to the bottom surface information integral of the calibrated 3D point cloud picture.

The invention provides an intelligent material flow monitoring system with a calibration function. The intelligent material flow monitoring system comprises a material contour detection device, a transmission system detection device and a control device. The material contour detection device is used for detecting volume information of materials conveyed by the material conveying system within a preset time period; the conveying system detection device is used for detecting characteristic parameters of the material conveying system in the material conveying process within a preset time period; and the control device calculates first mass information of the material according to the characteristic parameters, calculates second mass information of the material according to the material volume information, and calibrates the first mass information of the material based on the second mass information of the material to obtain third mass information of the material. According to the invention, mutual calibration is carried out through double detection modes, the accuracy of material quality monitoring is improved, equipment abnormity can be found in time, and the operation reliability of a material conveying system is improved.

The self-adaptive intelligent loading system comprises a belt conveyor, a surge bin, a quantitative bin and a loading chute which are connected in sequence, four sets of gates are arranged at the bottom of the surge bin, the gates are connected with a PID controller in an electric control mode, the PID controller controls opening and closing of the gates, and the quantitative bin is connected with the loading chute in an electric control mode. The opening degree of the gate can be adjusted; the quantitative bin is provided with a weighing sensor, a material level height sensor and a three-dimensional measuring instrument. The volume of materials in a quantitative bin is calculated in real time based on a point cloud slicing algorithm, density data is obtained by combining the weight, different attributes of different materials or the same material are judged, the opening degree of a gate is dynamically adjusted based on an electro-hydraulic servo system of fuzzy control, and self-adaptive loading under the condition that the characteristics of the materials are changeable is achieved; the problem that self-matching of loading parameters is difficult due to change of loaded materials is solved, the loading precision is effectively improved, and the intelligent degree and the working efficiency of a loading station are remarkably improved.

The utility model relates to the technical field of metering equipment, in particular to a cover glass bead volume metering device which comprises a hopper, a cover plate is arranged on the upper portion of the hopper, a feeding port is formed in the cover plate, and height measuring equipment is arranged on one side of the feeding port. The hopper is internally provided with the flattening device used for flattening the height of the stacking face on the upper portion of the material, the height measuring device can measure the stacking height of the material in the hopper, the flattening device can flatten the surface of the material, and the calculation accuracy of the material volume is improved.

The invention provides a method, a device, a system and a medium for predicting thermally-induced warpage of a chip, and the method comprises the steps: according to an effective elastic modulus, an effective Poisson's ratio, an effective thermal expansion coefficient, a material volume fraction, a material elastic modulus, a material Poisson's ratio, a material thermal expansion coefficient and coordinates of all points of a to-be-predicted chip layout, carrying out the prediction of the thermally-induced warpage of the chip; calculating the initial thermally-induced warping displacement of the to-be-predicted chip layout under the current coordinate system; according to the minimum value point and the stationary value point of the initial thermally induced warping displacement, establishing a plurality of planes including the minimum value point and the stationary value point; respectively calculating cosine values of included angles between the plurality of planes and the coordinate axis of the current coordinate system; taking a plane with the minimum cosine value of the included angle as a correction plane; calculating a direction cosine value of the coordinate axis of the correction plane and the coordinate axis of the current coordinate system; and according to the initial thermally-induced warping displacement and the direction cosine value, calculating to obtain predicted thermally-induced warping displacement by using a coordinate axis translation and rotation formula. The thermally-induced warping distribution of the chip is calculated through a classical elastic mechanics theory, and rapid and accurate prediction is achieved.

The invention provides a sliding conveying equipment visual hanging material detection and management system, which comprises at least one volume flow detection module, which is used for obtaining and outputting material volume flow information input to sliding conveying equipment, the input material volume flow information is used for determining the input material volume flow; the at least one material thickness detection module is used for acquiring and outputting the thickness of the material in the sliding conveying equipment, and the thickness of the material is at least used for determining the thickness of the flowing material; according to the volume flow of the input material, the thickness of the material and a predetermined mapping relation between the volume flow of the input material and the thickness of the material under the condition that the material is not hung in the sliding conveying equipment, whether the material is hung in the sliding conveying equipment or not is judged, and the thickness of the hung material is determined and is the thickness of the material attached to the sliding conveying equipment.

The invention discloses a selective in-mold bonding 4D injection molding device and a product deformation regulation and control method, and belongs to the technical field of material molding. The device comprises an injection molding machine, a mold and a selective in-mold bonding system consisting of a mechanical arm, a gripper, an insert block and a control system. The method comprises the following steps: designing and preparing an insert serving as a part of a product; the insert block is positioned and fixed to a preset position of a mold cavity through a mechanical arm; injection molding is carried out, so that the molten material and the insert block are bonded in the mold; and ejecting the product. According to the invention, the specific insert block is selectively embedded into the mold cavity, non-uniform temperature and pressure gradients are actively established in space and time dimensions, and the spatial and temporal distribution difference of material volume shrinkage is regulated and controlled, so that the buckling deformation of a product is accurately controlled. And in combination with a response surface method or an artificial intelligence algorithm, process parameters can be reversely deduced according to target deformation, programmable control of product shapes and batch production of'different models' are realized, and the production flexibility and the intelligent level are greatly improved.

The application discloses a 3D printing modeling method for heterogeneous material parts, which comprises the following steps: 1) obtaining each layer slice contour and filling path of a heterogeneous material part model to be printed, and constructing a feature point set E of the model in a geometric space; 2) constructing a parameter space transformation function matrix H, and transforming the feature point set E of the model from the geometric space to the parameter space of the parameter space transformation function matrix H; 3) constructing a material space distribution change matrix F, and obtaining the material volume fraction of each feature point by using the material space distribution change matrix F, and completing material modeling. The application directly uses the slice filling path points as the material feature points in the model, avoids manufacturing errors caused by the traditional voxel method or the finite element method, quickly obtains the material value of the feature points by the space transformation method, avoids the limitation of directly defining the material transformation on the model geometric space, and therefore can obtain a heterogeneous part model with an arbitrary complex transformation.

The utility model relates to the technical field of material volume weight detection devices, and particularly discloses a flexible porous material volume weight detection device, which comprises a bearing part for placing a material to be detected; wherein in the length direction of the to-be-detected material, the plurality of bearing parts are arranged below the to-be-detected material at fixed intervals; the load detection part is used for detecting the load change of the bearing part; by using the device, the volume weight of the to-be-detected material can be quickly and simply detected, the to-be-detected material cannot be damaged, the volume weight of each product on a production line can be detected, and the quality control of the products can be effectively improved; besides, a terahertz wave detector does not need to be used, the overall cost of the detection device can be effectively reduced, the thickness of the to-be-detected material is not limited, and volume weight detection can be effectively carried out on the to-be-detected materials with different thicknesses.

The present invention discloses an insert adaptor for parting off having an adaptor index axis and comprising: parallel and planar adaptor first and second sides connected by an adaptor peripheral surface which extends peripherally around the adaptor; the adaptor index axis extending through the center of the first and second sides; wherein the adaptor peripheral surface is formed with a plurality of pockets which are configured for resilient clamping and bearing surfaces extending between the pockets; characterized in that: the insert adaptor has a material volume of greater than 50% of an imaginary cylinder encompassing the insert adapter; and each of the bearing surfaces are straight.

The utility model belongs to the technical field of medium-frequency induction furnaces, and particularly relates to a medium-frequency induction furnace feeding device which comprises a material frame and a feeding box, sliding grooves are formed in the two side walls of an inner cavity of the material frame, an adjusting assembly is arranged on the material frame, a smashing assembly is arranged in the feeding box, and idler wheels are fixedly installed at the bottom of the material frame. The smashing assembly comprises a supporting plate fixedly installed on one side of the feeding box, and a connecting rod is rotationally connected into the supporting plate. According to the utility model, scrap iron can be pre-crushed through the crushing assembly, and the scrap iron can be treated into balls or particles through pre-crushing, so that the material volume is reduced, the material surface area is increased, and scrap iron materials are melted and heated more uniformly after being fed into the medium-frequency induction furnace, thereby accelerating the melting speed and improving the production efficiency; and in cooperation with the arrangement of the adjusting assembly, the height of the feeding box can be adjusted, so that the feeding height of the medium-frequency induction furnace is conveniently adjusted, the flexibility is improved, and feeding is facilitated.

The application discloses a method, system and controller of a stockyard storage and transportation warehouse. The method comprises the following steps: receiving three-dimensional data of a stockpile before and after loading respectively sent by a measuring device; determining an initial material volume according to the three-dimensional data of the stockpile before loading; determining a target material volume according to the three-dimensional data of the stockpile after loading; determining a volume difference as a difference between the target material volume and the initial material volume; obtaining the weight of the stockpile before and after loading respectively; determining a weight difference according to the weight of the stockpile before and after loading; determining a volume-weight ratio according to the volume difference and the weight difference; and determining a target material weight as a product of the volume-weight ratio and the target material volume. The application determines the weight according to the volume-weight ratio by measuring the stockpile in three dimensions to obtain the volume, thereby reducing manual operation and improving the accuracy and efficiency of the warehouse.

In a method for cleaning blinding particles in crushers, material to be crushed is fed via a feed stream (1) to a crushing tool, and from there is separated by a screen (7) into a conveyor stream (8) that passes through the screen (7) and a return stream (10) that is held back by the screen (7) and returned to the feed stream (1), thereby forming a conveyance circuit (9). The method makes an efficient, continuous crusher operation possible, wherein idle times for cleaning blinding particles can be avoided. The particle size distribution and / or the material volume are measured at specified intervals in parts of the conveyance circuit (9) and / or conveyor stream (8), and if the particle size distribution and / or material volume deviate above a predefined limit value, the particle size created by the crushing tool is increased for a predefined time period.

The present invention provides a method for identifying and generating the volume of piled materials by integrating single-view 3D reconstruction and BIM calibration, which relates to the technical field of volume generation of piled materials. The method uses a low-cost monocular camera to capture images, and with the help of advanced deep learning models and three-dimensional reconstruction algorithms, generates a three-dimensional model of the piled materials. By performing scale calibration with the virtual camera in the BIM model, the scale uncertainty problem that is difficult to overcome in traditional single-view reconstruction is solved, so that the true volume of the piled materials can be accurately calculated. In addition, the method also greatly improves measurement efficiency and reduces manual intervention through automated target detection, three-dimensional coordinate calculation and volume calibration processes. It is not only suitable for volume measurement of static piled materials, but can also be extended to real-time monitoring of dynamic construction scenes, providing strong technical support for construction management.

To provide an air bubble cushioning material volume reduction device which enables a compression gap distance between a piercing roller and a receiving roller to be changed according to a state of an air bubble cushioning material to be reduced in volume and has a wide range of use from industrial use to home use.SOLUTION: In an air bubble cushioning material volume reduction device, a receiving roller shaft base is used to enable change of a compression gap distance. Alternatively, an auxiliary receiving roller and an auxiliary receiving roller shaft base are used to enable change of a compression gap distance between a piercing roller and the auxiliary receiving roller.SELECTED DRAWING: Figure 56

The invention provides a sliding conveying equipment visual hanging material detection and management system, and the system comprises at least one material detection module which is used for detecting and outputting first sliding conveying material information in sliding conveying equipment, the first sliding material information comprises one or more of material flowing speed, sliding material volume flow rate, material thickness, hanging material thickness and flowing material thickness at different thicknesses; and according to the first sliding conveying material information, whether the sliding conveying equipment hangs materials or not is judged, and the target hanging material thickness is determined.

The utility model discloses granule blanking equipment, which belongs to the technical field of granule blanking equipment and comprises a main storage tank and a frame body, the main storage tank is placed on the ground on the left side of the frame body, the top of the frame body is provided with a first-stage storage tank and a second-stage storage tank which are used for transferring materials, the first-stage storage tank is connected with the main storage tank through a conveying pipe, and the second-stage storage tank is connected with the main storage tank through a conveying pipe. The interiors of the primary storage tank and the secondary storage tank are communicated with each other, the primary storage tank and the secondary storage tank are sequentially arranged from top to bottom in the height direction, and the inner bottoms of the primary storage tank and the secondary storage tank are each provided with a detection structure used for detecting the volume and mass of materials. By means of the mode, materials fall into the feeding end of the conveying belt through the second-stage discharging port, and under the action of the width adjusting mechanism, particle materials are flatly laid on the conveying belt when falling, so that the materials are evenly distributed, and the machining quality is guaranteed.

The invention discloses an intelligent volume flow measurement and control device for a powder material in a sintering burdening process, which is used in a continuous burdening process of a sintering production flow in the field of metallurgical industry. The intelligent powder material volume flow measurement and control device is composed of an inclined conveying belt, a powder material cross section shaping unit and an intelligent calculation and control unit of the powder material cross section shaping unit. The inclined conveying belt receives powder materials output from an outlet in the lower end of the batching bin, the motor with the controllable rotating speed firstly drives the carrier rollers to rotate, meanwhile, the belt is driven, the materials are pulled to move forwards together, and when the materials move to the position of the cross section shaping unit, the cross sections of the materials are shaped into trapezoid or triangular cross sections, and then the materials are output. Furthermore, the intelligent calculation and control unit performs intelligent calculation and control to obtain the volume flow of the powder material. The problems of unstable material flow control, large fluctuation and the like in an original batching system are mainly solved, and the method plays a key role in improving the production efficiency and benefit of a metallurgical sintering batching process.

The utility model provides a drum screen which comprises a drum and a driving gear arranged outside the drum, and further comprises a plurality of supporting rods, a plurality of sliding rods and two fixing plates, the supporting rods are sequentially arranged inside the drum at intervals in the axial direction of the drum, the supporting rods are perpendicularly intersected with the center line of the drum, and the sliding rods are arranged on the supporting rods. The two ends of the supporting rod are fixedly connected with the inner wall of the roller, the sliding rod is perpendicular to the supporting rod, the middle point position of the sliding rod and the middle point position of the supporting rod are in sliding connection, the fixing plates are long strip plates, the long sides of the fixing plates are parallel to the axis of the roller, and the fixing plates are fixedly arranged at the two ends of the sliding rod respectively. The end of the sliding rod is fixedly connected with the center of the fixing plate, and a plurality of steel needles are evenly and fixedly arranged on the face, away from the sliding rod, of the fixing plate. The problem that materials are too large in size and cannot be split or fragmented in the roller is solved, and the screening effect is improved.

The invention belongs to the technical field of mechanical structure optimization design, and particularly relates to a weight reduction optimization method and system for a ventilator packaging outlet iron framework, and the method mainly comprises the steps: determining a design space and hoisting and stacking working conditions; building a finite element model, applying load constraint, and performing topological optimization with the minimum flexibility and the residual material volume less than or equal to 30%; a beam unit model is generated, parameters are determined, a multi-software cooperation engine is built, and ARSM is used for size optimization; and verifying the mechanical property. The system comprises a data input module, a topological optimization module, a size optimization module and a result verification module. Compared with the prior art, the method has the advantages that through topological optimization and size optimization, and in combination with multidisciplinary optimization software, Excel is called for profile steel type selection, and under the condition that the requirements of the hoisting working condition and the stacking working condition are met, the weight of the iron frame is effectively reduced, the cost is reduced, and the transportation efficiency is improved.

The present invention discloses a buckle-assembled golf club bag chassis including: a chassis body; and a bottom ring member, in which the bottom ring member is sleeved on the periphery of the chassis body, the bottom ring member is provided with a buckle, the buckle includes a rotating portion connected with the bottom ring member, and a hook portion arranged at a free end of the rotating portion, the chassis body is provided with a buckling platform on an outer side wall thereof, and the buckling platform faces downward. This design is not only beneficial to the reduction of material volume during warehousing and transportation, but also has good structural stability, high bearing capacity, and improved quality of a golf club bag.

The invention provides an intelligent scheduling system and method for an intelligent stacking robot, and the method comprises the steps: S1, collecting the point cloud data of a material through a depth camera, recognizing the size of the material, and obtaining the weight of the material; s2, the material volume is calculated according to the material size, and the density value is obtained by combining the material weight; stroke parameters of a pneumatic clamping jaw are calculated, and a stacking scheme is generated through an intelligent planning algorithm; s3, a pneumatic clamping jaw is controlled to be opened and closed based on the stroke parameters so as to grab materials, and the stacking scheme is executed to complete material stacking; and S4, detecting the appearance of the stacked materials, and enabling a WMS storage location scheduling module to distribute the materials to proper storage locations according to a detection result. According to the method, aiming at the morphological characteristics of the flexible materials, a dimension identification method combining convex hull analysis and abnormal value filtering is adopted, the irregular object measurement precision is improved, and the problems that in the stacking link of the multi-specification flexible bulk materials such as tea leaves, model changing is slow, damage is high, and dispatching is low in efficiency are solved.

The invention discloses a workpiece surface quality detection method and device based on point cloud analysis, electronic equipment and a storage medium, and belongs to the field of workpiece quality detection.The method comprises the steps that three-dimensional point cloud data of a to-be-detected workpiece is acquired, and gridding processing is conducted on the three-dimensional point cloud data to generate a regular point cloud height image; and based on the regular point cloud height image, generating a basic morphology parameter group representing the morphology of the workpiece, a composite parameter group representing the microscopic geometric characteristics of the workpiece, a material volume parameter group reflecting the bearing characteristics of the surface of the workpiece, and a space parameter group describing the texture direction information of the surface of the workpiece. And inputting the four groups of parameters into a multi-dimensional weighted fusion model for comprehensive calculation, generating a surface quality comprehensive score capable of comprehensively reflecting the surface condition, and finally determining the quality grade of the workpiece according to the score. By implementing the method, the problem that the real condition of the workpiece surface cannot be accurately reflected in the prior art can be solved.

Embodiments of the present application provide a bottom belt speed control method and device, electronic equipment and storage medium. The bottom belt speed control method comprises: collecting an image of a feeding end in a feeding bin; obtaining the volume of material in the feeding bin based on the image; calculating the current material flow in the feeding bin based on the volume of material in the feeding bin; and adjusting the speed of the bottom belt in the feeding bin based on the relationship between the current material flow and a pre-calculated standard material flow. In the embodiments of the present application, the speed of the bottom belt in the feeding bin can be adjusted based on the relationship between the current material flow and the standard material flow by combining machine vision technology, so that the material flow in the feeding bin meets the production requirements, the frequent start and stop of the bottom belt motor is reduced, and the service life of the equipment is prolonged.