19 results about "Material quality" patented technology

The invention discloses an industrial art material detection method based on multi-modal deep learning, particularly relates to the field of material analysis, and is used for solving the problems that cross-modal data alignment of curved surface utensils in highlight and multi-layer coating scenes is difficult, and material boundaries are easy to drift along with shooting batches and visual directions. The method comprises the following steps of: positioning a hyperspectral line scanning fragment; constructing a local reference grid to realize initial pairing; generating pixel-level residual image quantization dislocation; estimating luminosity mapping to form consistent bimodal data pairs after eliminating a high-reflectivity region; iteratively supplementing anchor points or adjusting grid rigidity, generating a stable material graph, updating an index table and a consistency record, ensuring cross-batch reusability and traceability, and improving the material detection precision.

The application relates to the technical field of material quality monitoring, in particular to a refractory material quality real-time monitoring system and method based on artificial intelligence, which comprises the following steps: synchronously acquiring dynamic working condition data and real-time state data in a single smelting furnace cycle; generating comprehensive evaluation features, and identifying abnormal furnace cycles that exceed a preset fluctuation range; based on the comprehensive evaluation features, performing online evaluation on the health condition of the refractory lining brick in the current furnace cycle, outputting a dynamically updated quality level, and synchronously dynamically adjusting the abnormal early warning condition of the real-time state data according to the quality level; and according to the dynamically updated quality level and the warning information generated according to the dynamically adjusted abnormal early warning condition, generating and triggering a process intervention instruction that is coordinated with the current furnace cycle process. The application can realize real-time monitoring of the health condition of the refractory material, and perform self-adaptive evaluation and active production coordination according to the dynamic furnace cycle working condition.

The application is suitable for the technical field of power engineering surplus material processing, and provides a power engineering surplus material processing method and a terminal device.The power engineering surplus material processing method comprises the following steps: obtaining multiple material index data of surplus materials of a power engineering, wherein the material index data comprises material size, material quantity and material quality parameters; calculating complete indexes of the surplus materials based on the multiple material index data; establishing a material judgment matrix of the surplus materials, and calculating eigenvalues of the material judgment matrix; obtaining a material processing index of the surplus materials based on the complete indexes and the eigenvalues of the surplus materials; and performing sales processing, warehouse return processing or scrap processing on the surplus materials based on the material processing index.The application can process the power engineering surplus materials in time, thereby avoiding waste of the materials.

The present application belongs to the technical field of composite material quality control, and relates to a kind of plate performance prediction and control method based on basalt fiber mat quality detection, the mat is detected with surface density, surface density uniformity, thermoplastic fiber content and dispersion degree and other indexes;Combined with the influence of the residual rate of the impregnating agent on the odor and VOC emission of the plate;Establish a performance prediction model based on multiple linear regression, which is used to predict the thickness control accuracy, volume shrinkage, mechanical properties and environmental protection indexes of the plate;Based on the model results, the process conditions such as layering method and hot pressing parameters are adjusted in real time to realize closed-loop control of performance. This method realizes the accurate mapping and feedback control of raw material quality on the terminal performance, can control the plate thickness accuracy within ±0.3mm, the volume shrinkage within 0.5%-2.0%, the mechanical property fluctuation is small, the odor grade is <3, and the VOC emission is low. This method significantly improves the performance stability of the plate and reduces the scrap rate.

The invention relates to the technical field of high-viscosity material mixing equipment, and discloses a paper tube glue semi-finished product stirring tank with a weighing function, which comprises a tank body, a hyperboloid rotor precisely matched with a W-shaped groove at the bottom of the tank body, and a planet differential driving structure. The structure drives the rotor to perform differential rotation while performing revolution to form a moving line contact high-pressure milling area, and a rotor spiral diversion trench is combined to structurally eliminate a mixing dead angle. The invention further comprises a measurement system based on modal analysis, resonant frequency related to material mass is effectively separated out by applying high-frequency perturbation excitation and collecting vibration response, the resonant frequency is substituted into a preset mass and frequency mapping model, and dynamic weighing without stirring vibration interference is achieved. In addition, the system extracts multi-mode fingerprints, compares the multi-mode fingerprints with a normal working condition fingerprint database and calculates the fingerprint distortion degree, can diagnose abnormity such as loosening of a stirring part or caking of materials on line, and achieves equipment state early warning.

The utility model relates to the field of precision casting, and specifically discloses a sprue rod convenient to identify, which comprises a sprue rod and a sprue cup integrated with the sprue rod, the side surface of the sprue cup is welded with an identification block, and the surface of the identification block is provided with a material quality mark, the utility model welds the identification block on the side surface of the sprue cup, the specific material quality can be directly seen by using the material quality mark on the identification block, and the identification block is single, the identification block of the same batch of material quality can be prepared in batches, the cost is low, and the preparation is convenient.

The utility model provides high-precision material quality detection equipment, which relates to material quality detection and comprises a working table and a material storage component, the material storage component is arranged on the working table, the working table serves as a basic supporting platform of the whole equipment and is used for bearing and fixing other parts, and the material storage component comprises a supporting plate. The supporting plate is fixed to the top face of the workbench, a storage hopper is fixed to the supporting plate, and the bottom of the storage hopper is in a hopper shape. According to the high-precision material quality detection equipment, the first baffle plate and the second baffle plate can be driven by the electric push rod and the fixed plate to alternately move in the feeding pipe, so that spherical materials can stay between the second baffle plate and the first baffle plate one by one, and the spherical materials can be detected one by one by the visual detection equipment; the problem that the detection precision is reduced due to accumulation and shielding of spherical materials is effectively solved.

The invention discloses a material quality improving system based on an electromagnetic technology, and belongs to the technical field of material treatment. Comprising a shell; the air inlet is formed in the front side of the shell; the air outlet is formed in the front side of the shell and located above the air inlet; the electromagnetic coil is arranged at the feeding hole; a dispersing assembly and a boiling assembly are arranged in the shell, and the dispersing assembly comprises two dispersing plates which are symmetrically arranged on the shell. The material quality improving system based on the electromagnetic technology has the beneficial effects that by arranging the electromagnetic coil, materials entering the shell pass through a magnetic field area, the attraction force between dust and the materials is eliminated, the materials entering the shell are shunted through the arranged dispersing assembly, and the material quality improving efficiency is improved. According to the material dispersing device, the first plate part extrudes caked materials and disperses the materials through the arranged pressing and dispersing part, and meanwhile through the arranged connecting rod and rotating frame, when the materials are located on the dispersing plate, dust contained in the materials is blown away through the through holes in the dispersing plate.

Embodiments of the present application disclose a material recommendation method and device, a computing device and a storage medium. The method comprises: in response to an operation of a target user entering a target page, screening materials meeting a first preset condition from a resource pool as first materials; screening materials meeting a second preset condition from an invalid resource pool as second materials; screening materials associated with the target user from the first materials and the second materials as third materials; and sorting the third materials according to material quality, and recommending the first target number of sorted materials to the target user. It can be known that the high-quality materials removed from the recommendation system are re-screened, combined with the materials in the material pool, and the materials associated with the user are selected from the combined materials to be recommended to the user. The high-quality materials removed from the recommendation system can be recommended to the user again, the quality of the materials recommended to the user is improved, the user can quickly locate the interested content, and the user stickiness is improved.

The invention relates to the technical field of sputtering target material processing, and provides a copper sputtering target material warping degree automatic correction and detection device which comprises a correction platform and a warping degree measuring instrument for carrying out warping degree detection on a target material placed on the correction platform, and a top plate is fixed above the correction platform through guide stand columns distributed in a rectangular mode; the supporting frame is driven by the first oil cylinder to ascend and descend, the contact pressure between the rolling mechanism and the target material is adjusted, the second oil cylinder drives the rolling mechanism to move in the horizontal direction, the rolling wheels roll on the surface of the target material, local warping is dispersed into continuous rolling stress, target material damage caused by single-point excessive stress is avoided, and the target material quality is improved. Rollers of the rolling mechanism are elastically connected with the cross beam through springs, the rolling mechanism can adapt to different positions of the maximum warping degree of the target material, correction of the target material is achieved, the target material is continuously rolled and rolled through the rolling mechanism capable of ascending, descending and horizontally moving, single-point downward pressing is changed into multi-point rolling and rolling, and correction uniformity is improved.

The embodiment of the invention provides a material quality sensing system, method and device for a material extrusion process, and belongs to the technical field of material detection. According to the scheme, a sensor probe is installed on an extrusion die head, a temperature analog signal and a capacitance analog signal are obtained through a sensor, a data conversion unit carries out analog-digital conversion on the capacitance analog signal and the temperature analog signal to correspondingly obtain capacitance data and temperature data, and a processing module corrects the capacitance data according to the temperature data to obtain the capacitance data. And according to the corrected capacitance data and a preset capacitance range corresponding to the material component proportion, whether the quality of the material is qualified or not is judged. The embodiment of the invention realizes real-time monitoring of extrusion production of materials, is suitable for extrusion production monitoring of different types of materials, and is wide in application range and high in monitoring efficiency and accuracy.

A method for inspecting a non-woven material is provided. The method comprises introducing, by a sonotrode, ultrasonic energy to weld the non-woven material, supporting, by an anvil roll, the non-woven material between the anvil roll and the sonotrode, rotating the anvil roll to transfer the non-woven material in a downstream direction, taking, by an imaging unit disposed downstream of the anvil roll, an image of the non-woven material, and processing the image by an image processing unit. The image processing unit comprises identifying a defect based on the image, classifying the defect into one of a plurality of categories, analyzing a cause of the defect based on the respective category, determining a component causing the defect, and notifying the cause with a recommended remedial action associated with the component.

The application relates to the technical field of high-viscosity material mixing equipment, and discloses a paper tube glue semi-finished product stirring tank with a weighing function, which comprises a tank body, a double-curved-surface rotor precisely matched with a W-shaped groove at the bottom of the tank body, and a planetary differential speed driving structure. The driving rotor rotates at differential speed while revolving, forms a moving linear contact high-pressure grinding area, and eliminates mixing dead angles in the structure in combination with a rotor spiral flow guide groove. The application also comprises a measurement system based on modal analysis, which effectively separates a resonant frequency related to material quality by applying a high-frequency perturbation excitation and collecting vibration responses, and realizes dynamic weighing free from stirring vibration interference by substituting the resonant frequency into a preset mass and frequency mapping model. In addition, the system compares a multimodal fingerprint with a normal working condition fingerprint library, calculates a fingerprint distortion degree, can on-line diagnose abnormalities such as loosening of stirring parts or material caking, and realizes equipment state early warning.

The utility model belongs to the technical field of material storage, and provides a large-capacity particle storage bin which comprises a bin body, a conical discharging section arranged at the lower end of the bin body, a bin cover arranged at the feeding end of the bin body, and a separation assembly arranged in the bin body and used for separating the storage space of the bin body. The separation assembly comprises two channels symmetrically formed in the two sides of the interior of the bin body. According to the utility model, the first-in and first-out of the particle materials can be ensured through the separation assembly, and the first-in and first-out of the particle materials which are easy to deteriorate, overdue or affected with damp to influence the quality can ensure that the materials which are stored firstly are preferentially used. The influence on the material quality due to overlong storage time can be effectively avoided, the stable and reliable quality of the produced product is ensured, the preferential use of the firstly stored material is ensured, and the retention time of the material in a warehouse is reduced, so that the risk of deterioration of the material is reduced, the quality and the performance of the material are ensured, and the turnover speed of the material can be accelerated.

The application discloses a steel and non-ferrous metal multi-material cold rolling compatible rolling method and system, and belongs to the technical field of manufacturing execution systems.The method comprises the following steps: identifying the material quality of a plate in real time through X-ray fluorescence and eddy current conductivity dual-mode sensing; calling pre-stored tension-velocity coupling surface parameters based on the material quality category; collecting tension and timing displacement data by using a high-dynamic tension sensor array and an edge position detector; estimating disturbance through an extended Kalman filter state observer, and generating feedforward compensation and feedback correction by a model predictive controller to dynamically adjust the winding tension instruction.The system solves the tension control lag problem caused by the difference in material physical properties in multi-material cold rolling by introducing an online material quality identification and dynamic tension feedforward compensation cooperative mechanism.The traditional proportional-integral-derivative controller relies on fixed parameters and cannot adapt to the changes in the elastic modulus, yield strength and surface friction coefficient of different materials, resulting in tension fluctuation and causing snake deviation.

The invention provides a cutting device and a cutting method, and the cutting device comprises a cutter which is used for cutting the outer layer of a packaging box; the driving module is used for driving the cutter to telescopically move; the detection module comprises a thickness measuring sensor and a material sensor; the thickness measuring sensor is used for detecting the residual thickness of the notch of the outer layer, and the material sensor is used for detecting the material characteristic parameters of the notch of the outer layer; and the control module is used for calculating the cut thickness of the notch of the outer layer according to the residual thickness detected by the thickness measuring sensor, calculating the material characteristic parameter change rate of the notch of the outer layer according to the material characteristic parameters detected by the material sensor, and controlling the operation of the driving module according to the cut thickness and the material characteristic parameter change rate. The cutting device can accurately control the feeding depth of the cutter, the inner layer of the packaging box or products in the packaging box are prevented from being scratched, and box opening operation is facilitated.

The application provides a cutting device and a cutting method. The cutting device comprises a cutter for cutting an outer layer of a packaging box, a driving module for driving the cutter to move in and out, a detection module comprising a thickness measuring sensor and a material quality sensor, the thickness measuring sensor being used for detecting the remaining thickness of the cut part of the outer layer, and the material quality sensor being used for detecting the material quality characteristic parameter of the cut part of the outer layer, a control module being used for calculating the cut thickness of the cut part of the outer layer according to the remaining thickness detected by the thickness measuring sensor, calculating the change rate of the material quality characteristic parameter of the cut part of the outer layer according to the material quality characteristic parameter detected by the material quality sensor, and controlling the operation of the driving module according to the cut thickness and the change rate of the material quality characteristic parameter. The cutting device can accurately control the depth of the cutter, avoid scratching the inner layer of the packaging box or the product inside the packaging box, and facilitate the unpacking operation.

The invention provides a quality auditing method for metallurgical external materials, and belongs to the technical field of metallurgical material quality inspection. The method comprises the following steps: collecting all inspection results of target material quality inspection indexes in a preset time period as historical data; determining a difference value range based on the historical data; and the target material is checked in combination with the qualified range and the difference range of the target material. According to the method, the material index value is detected through the preset qualification range, whether the material is qualified or not is judged, meanwhile, the difference range is determined through the historical data calculation standard, the material quality inspection index value is judged again based on the difference range, and the quality conditions of the materials provided by the same supplier can be compared under the condition that supplier sensitive information is not leaked; and the quality of externally fed materials is ensured.

The present application relates to the technical field of toothbrush automatic manufacturing, and particularly discloses a self-adaptive gripping force control method and system of a mechanical hand of a toothbrush bristle planting machine, which comprises: starting a gripping material quality identification process, identifying a material quality area where a gripping area is located, if it is a transition area, outputting a material quality classification probability graph of the gripping area, executing a gripping contact action and collecting a contact force response signal, online identifying a local contact stiffness, integrating a material quality attribute vector, dynamically adjusting a normal impedance parameter, generating a normal flexible contact flag, if the normal flexible contact flag is received, collecting a three-axis torque signal at a gripping point, identifying a center of mass position vector of a toothbrush handle and calculating an eccentricity parameter, judging whether a tangential force active adjustment preparation mechanism is triggered, marking a control state, if the control state is tangential force to be intervened, calculating an expected tangential force target, introducing a friction force reserve observer to judge whether a normal force collaborative increase process is triggered, and executing tangential force adjustment.