28results about How to "Fast input" patented technology

The utility model discloses a feeding device capable of feeding continuously, which belongs to the technical field of feeding and charging and comprises a feeding hopper, a feeding pipe is mounted on the lower surface of the feeding hopper in a penetrating manner, a plurality of mounting plates are welded on the outer surface of the feeding hopper, mounting bolts are mounted on the mounting plates in a threaded manner, a fixing plate is fixedly mounted on the surface of the feeding hopper, and the fixing plate is fixedly mounted on the lower surface of the feeding hopper. A motor is fixedly mounted on the side surface of the fixed plate; a motor is arranged to be matched with a cam and a disc for use, the disc is matched with a rotating roller and a sliding frame which are eccentrically arranged for use, a sliding rod drives a dredging block to move up and down for dredging, materials can be rapidly input into the injection molding machine through a feeding pipe, and a first sliding plate is driven to drive a blocking plate to move in cooperation with rotation of the cam; the front blocking plate and the rear blocking plate move in a staggered mode, alternate and continuous falling of materials is achieved, the discharging effect of the materials is effectively improved, and the phenomenon that when the materials are added from one direction at a time, accumulation and blocking are prone to occurring is avoided.

The invention provides a context compression method based on query guidance. The context compression method comprises the following steps: filling query information and a context to be compressed into a dialogue template; respectively calculating first attention numerical values of a plurality of lexical elements in the context of the dialogue template; performing attention reconstruction on the context according to the first attention numerical values corresponding to the plurality of lexical elements; and compressing the context after the attention reconstruction to be within a preset target compression ratio. The invention further provides a context compression system based on query guidance, a storage medium and electronic equipment. Therefore, key information can be more efficiently reserved, a shorter context is input to the generative model, the reasoning efficiency of the generative model in a long context reasoning scene is improved, and the reasoning cost is reduced.

The invention relates to the technical field of machining and manufacturing, in particular to a novel machine tool multi-tray automatic production line which comprises a machine tool and a material frame. A material moving mechanism and at least two loading cabins are arranged on the material moving track; the material moving mechanism comprises a base, a driving assembly, a lifting assembly, a telescopic assembly and a monitoring assembly. The material moving mechanism is arranged on the material moving track, full-automatic conveying of materials from a loading cabin to a machine tool machining station is achieved, manual intervention is greatly reduced, the automation level of a production line is remarkably improved, accurate carrying of the materials between different positions is ensured through a telescopic assembly of the material moving mechanism, and the production efficiency is improved. Errors in manual operation and the risk of material damage are effectively reduced, the monitoring assembly can detect the machining state of the materials entering the material moving rail, problems possibly occurring in the carrying process are fed back in time, the continuity and stability of the production process are ensured, and the conditions of accidental shutdown and material waste are reduced.

The invention provides a hydrogen fuel cell combined cooling heating and power system and a control method thereof. The system comprises a thermoelectric refrigeration device, a heat supply branch and a cooling branch, the first heat supply branch in the heat supply branches is composed of a thermoelectric refrigeration device, a heat exchanger and a hydrogen fuel cell and used for starting preheating of the hydrogen fuel cell. The second heat supply branch is used for recycling heat; a first cooling branch in the cooling branches consists of a thermoelectric refrigeration device, a cold exchanger, a heat exchanger and a hydrogen fuel cell, and is used for cooling the hydrogen fuel cell when the heat dissipation system fails; the second cooling branch consists of a thermoelectric refrigeration device, a cold exchanger, an inlet air compression device and a hydrogen fuel cell and is used for cooling inlet air of the hydrogen fuel cell; the third cooling branch is used for recycling cold energy; and the power supply branch is used for providing electric energy input for the hydrogen fuel cell. A complex inlet air cooling system of the hydrogen fuel cell is removed, the refrigerating and heating response speed is high, and safe operation of the hydrogen fuel cell system is guaranteed.

The invention belongs to the technical field of digital signal processing, and particularly discloses a space-time interference cancellation algorithm parallelization FPGA implementation device and method, and the device comprises an input vector generation module which delays and arranges reference signals of multiple channels, and obtains space-time input vectors of the reference signals; the correlation matrix calculation module is used for acquiring an autocorrelation matrix and a cross-correlation vector; the matrix decomposition module is used for performing matrix decomposition on the autocorrelation matrix to obtain an upper triangular matrix; the weight determination module is used for carrying out weight solving by utilizing the upper triangular matrix and the cross-correlation vector to obtain an optimal weight; the delay matching module is used for delaying the reference signal and carrying out time sequence alignment on the reference signal and the optimal weight to obtain a delay matching result; and the weighting and combining module is used for weighting the reference signals subjected to the time sequence alignment according to the optimal weight to obtain weighted signals and combining the weighted signals with the received signals so as to realize interference elimination of the received signals. According to the invention, the real-time tracking capability can be improved and the processing delay can be reduced.

The invention provides a submarine cable support for prompting a fault section, and relates to the technical field of submarine cables. U-shaped plates are fixedly connected to the left side and the right side of the top of the bottom frame; a cable body is arranged at the top of the U-shaped plate, a sealing layer is fixedly connected to the side end of the cable body, a flange pipe is fixedly connected to the outer side of the sealing layer, a detection end is fixedly connected to the top of the curved side face of the flange pipe, and a top frame is fixedly connected to the top of the bottom frame. The gallium-tin alloy wire can be pulled and broken through upward traction of buoyancy of the hollow box, the hollow box can be separated from connection and fixation with the top frame, cable code mark numbers can be more distinct through light emitting of the fluorescent layer A and the fluorescent layer B which are mutually contrasting in color, a maintainer can conveniently and rapidly find out a fault section cable after diving, and the maintenance efficiency is improved. The problem that a traditional connecting support is inconvenient for maintenance personnel to quickly recognize the position of a damaged section in a dark environment is solved.

The invention provides an explosion discharge disaster intelligent evaluation method based on a convolutional neural network, and relates to the technical field of combustible gas explosion protection. The method comprises the following steps: acquiring an explosion discharge disaster assessment multi-dimensional data set; according to the obtained multi-dimensional data set, determining an explosion discharge disaster evaluation model based on a convolutional neural network model; wherein the convolutional neural network model is used for learning and internalizing a high-dimensional mapping relationship between a multi-source working condition parameter and a disaster intensity field in an explosion discharge physical process; acquiring multi-source working condition parameters of a to-be-evaluated environment; and inputting the multi-source working condition parameters of the environment to be evaluated into the explosion discharge disaster evaluation model to obtain the on-way distribution of the explosion discharge peak overpressure, the peak temperature and the peak wind speed, thereby realizing the efficient and accurate prediction of the disaster peak at any position on the whole propagation path after the explosion discharge.

The utility model discloses a heating and pressurizing belt for rapid transfusion or blood transfusion. The heating and pressurizing belt comprises a long strip belt, wherein magic tapes are arranged at two ends of the long strip belt so as to form an annular shape; the long strip is of an interlayer structure, an air storage bag is arranged in a cavity, and a water storage annular pipe is attached to the inner side of the long strip. The inflatable ball is communicated with the air storage bag through an air injection pipe, and the water injection pipe is communicated with the water storage annular pipe; an air valve is arranged on the air injection pipe, and a sealing cover is arranged on the water injection pipe. The water storage annular pipe is attached to the inner side of the long strip provided with the air storage bag, after warm water is injected, the heating and pressurizing functions can be achieved at the same time, and then liquid can be rapidly input into the body of a patient through the pressurizing function after the liquid is preheated; in cold seasons, it can be ensured that liquid rapidly infused into the body of a patient is close to the body temperature, the situations of temperature loss, cold vibration, abnormal blood coagulation, abnormal blood pressure or arrhythmia and the like of the patient due to the fact that the temperature of the infused body is too low are avoided, and the safety of rapidly infusing the liquid into the body of the patient is effectively improved.

The invention relates to a top-up gift coupon activity configuration method, device and equipment based on rendering animation, and the method comprises the steps: obtaining configuration information filled by an administrator through a preset first interface; generating activity data based on the configuration information; providing a preset second interface for related personnel to edit, delete, start, pause and clone the activity data; initiating an activity based on the activity data; user information is obtained, a dynamic display interface is generated based on the user information and the activity data, and the dynamic display interface is used for displaying to users to attract the users to participate in activities; based on the user information and the activity data, automatically calculating and providing awards for the user to participate in the activity; and a personalized recharging card is intelligently generated according to the accumulated recharging amount and the member level of the user.

The application relates to the technical field of intelligent generation, in particular to a unified autoregressive three-dimensional model automatic skeleton binding method and device, wherein the method comprises the following steps: converting an input three-dimensional model into point cloud data; performing sampling and normalization processing on the point cloud data to extract local and global geometric features of the three-dimensional model, and determining feature embedding of the point cloud data according to the local and global geometric features; based on the feature embedding and a preset autoregressive model, generating a skeleton tree token sequence and a discrete skin token sequence, to generate a skeleton tree and skin weights, and fusing the skeleton tree and the skin weights to obtain an automatic three-dimensional grid binding result suitable for an animation driving condition. Therefore, the problem that animation effect presentation is affected due to the fact that related technologies cannot uniformly model the skeleton and the skin weights and cannot process sparse skin weights in a more stable manner is solved.

The invention belongs to the technical field of hydrogel, and discloses macroporous hydrogel containing micro-pipelines and a preparation method and biomedical application thereof, and is characterized in that the sol of the macroporous hydrogel is sodium alginate sol, the gelling agent is calcium chloride, the macroporous hydrogel contains the micro-pipelines which are through up and down or through left and right or through front and back, and the micro-pipelines are uniformly distributed on the surface of the macroporous hydrogel. The pore diameter of the micro-pipeline is 100-550 [mu] m, and the porosity of the macroporous hydrogel is greater than 90%. Compared with the prior art, the hydrogel provided by the invention has the following beneficial technical effects that the hydrogel provided by the invention has a completely through pore structure, the porosity is greater than 90%, the water content is high, the biocompatibility is good, and the hydrogel has a wide application prospect in the biological medicine fields of drug delivery, cell culture, tissue regeneration, wound dressing and the like; the aperture size of the hydrogel provided by the invention is greater than 100 [mu] m, and the aperture size is good in uniformity and easy to regulate and control. The method disclosed by the invention is simple in process and low in cost, and the required product can be successfully prepared within 12 hours.

The embodiment of the invention provides a vehicle interior material identification method and device and a robot, and relates to the technical field of vehicles. The method comprises the following steps: acquiring first spectral data of a to-be-identified material in the vehicle interior; extracting spectral features at a plurality of characteristic wavelengths and spectral texture features of a local region from the first spectral data; performing feature fusion processing on the spectral features and the local region spectral texture features to obtain fusion features; and inputting the fusion feature into the first model to obtain a material category identification result of the to-be-identified material. According to the method, the vehicle interior material identification accuracy and efficiency can be improved.

This application provides a method and related equipment for constructing a groundwater flow field based on irrotational conditions. The method includes constructing a groundwater flow model, dividing the internal space of the groundwater flow model into a computational grid comprising multiple triangular elements and multiple nodes; determining the head data of each node other than the observed nodes using a linear interpolation algorithm based on the head data of known observation nodes in the groundwater flow model; and determining the target head data of each node and the target flow velocity corresponding to each triangular element through multiple iterations based on the head data of each node. Based on the water level at observation well points and driven by the physical laws of groundwater movement, this application can quickly and automatically generate a physically reasonable flow field through efficient iterative calculations, providing a powerful new tool for groundwater simulation and analysis.

The embodiment of the invention provides a large model application method and device based on an automatic driving scene, equipment and a medium. The method comprises the following steps: acquiring a to-be-recognized image from current automatic driving data; performing feature extraction on the to-be-recognized image according to a visual backbone network of a target visual model obtained by pre-training, and inputting the extracted features into a sensing head of the target visual model to obtain first to-be-recognized features; performing stochastic gradient descent processing on the first to-be-recognized feature through a posterior optimization trajectory generator in the target vision model to obtain a second to-be-recognized feature for indicating a subsequent reasoning direction of the target vision model; and performing semantic recognition on a target to-be-recognized feature obtained by fusing the first to-be-recognized feature and the second to-be-recognized feature through a target visual model to obtain an image recognition result of the to-be-recognized image. Therefore, the image recognition efficiency can be improved, and the image recognition accuracy of the model can be improved.

The application discloses a quantitative prediction method for atmospheric pollutant corrosion rate of metal under multi-gas coupling effect, relates to the technical field of atmospheric corrosion science and industrial protection, and comprises the following steps: step one, constructing a multi-gas corrosion rate calculation basic framework; taking the rate threshold value data of metal in a graded corrosion environment, the framework provides a unified operation platform for subsequent integration of other gases and adaptation of different metals. The quantitative prediction method for atmospheric pollutant corrosion rate of metal under multi-gas coupling effect realizes full-coverage quantitative analysis of the corrosion effects of three core atmospheric pollutants, namely Cl ‑ , H2S and NH3, effectively solves the technical difficulty that Cl ‑ cannot be independently calculated in the prior art, and realizes precise coupling and linkage calculation of Cl ‑ , H2S and NH3 by converting Cl into a dedicated corrosion contribution item.

The invention provides a three-dimensional component test method, system and device and a storage medium, a three-dimensional component model is obtained by obtaining a three-dimensional component file and rendering based on a webpage graphics library tool, and a test instruction sequence for the three-dimensional component model is generated for test operation in response to test information input of a user interface. Obtaining node test rendering data of the three-dimensional component model based on a preset test node, determining a node test result based on a comparison result of the node test rendering data and preset test boundary information, and when the test operation is executed, generating a three-dimensional component test report based on all the node test results and displaying the three-dimensional component test report; according to the method and the device, the webpage of the test process is realized through the webpage graphics library tool, the test task can be executed more conveniently, the structured test instruction sequence is generated in response to the input of the user interface, the creation and application efficiency of the test case is improved, and finally, the test result analysis accuracy is improved through automatic test result analysis based on the preset test node.

The utility model discloses a keyboard and a password keyboard of an automatic teller machine. Specifically, a keyboard having keycaps of touch sensors is disclosed. The keyboard can be used on a computer or an automatic teller machine. The keyboard comprises a base and a plurality of keys arranged on the base. Each key comprises a key cap, an elastic component and a pressing piece. The elastic component and the pressing piece are arranged between the key cap and the base. The keycap includes a touch-sensitive interface disposed at a peripheral end of the keycap and configured to provide additional input.

The invention discloses a collision test parameter recommendation method and device and a storage medium, and relates to the technical field of automobile collision test. The scheme comprises the following steps: acquiring a target collision motion parameter expected to be realized by a collision test trolley in a deceleration sliding table test; inputting the target collision motion parameters into a trained target prediction model, and obtaining recommended test parameters including damper target parameters; wherein the target prediction model constructs a training sample based on a simulation result of a deceleration sliding table test, and establishes a mapping relation from a motion parameter to a test parameter through a machine learning method. According to the scheme, the recommendation parameters highly matched with the target can be quickly output, the accuracy and efficiency of parameter configuration are remarkably improved, and the debugging process originally needing multiple iterations is greatly simplified.

The utility model discloses a gas injection mixing device which comprises an injection pipe, a high-pressure gas inlet box and a gas mixing output part, the high-pressure gas inlet box comprises a high-pressure gas chamber and a depressurization pipe which are connected through a partition plate, a gas adjusting valve body is arranged in the partition plate in a penetrating mode, a cylindrical valve element is arranged in the gas adjusting valve body and connected with a control pull rod, and the control pull rod is connected with the high-pressure gas chamber. A pressure reducing partition plate dividing an inner cavity of the pressure reducing pipe into at least two independent cavities is arranged in the pressure reducing pipe, an air inlet is formed in the bottom wall of the cylindrical valve element, air outlets are formed in the positions, corresponding to the independent cavities, of the adjusting valve body respectively, the positions of the air outlets in the adjusting valve body are arranged in a staggered mode, and a high-pressure air inlet pipe is arranged on the high-pressure air chamber. An end plate is arranged at one end of the injection pipe, Laval spray pipes are arranged at the positions, corresponding to the independent cavities of the depressurization pipe, of the end plate respectively, a plurality of injection partition plates are arranged in the injection pipe to independently isolate each Laval spray pipe in one gas injection cavity, and low-pressure gas inlet pipes are arranged on the side wall of the injection pipe corresponding to the gas injection cavities respectively.

The embodiments of the present application provide a large model application method, device, equipment and medium based on an autonomous driving scenario. The method includes: obtaining an image to be recognized from the current autonomous driving data; extracting features of the image to be recognized based on the visual backbone network of the pre-trained target visual model, and inputting the extracted features into the perception head of the target visual model to obtain a first feature to be recognized; performing random gradient descent processing on the first feature to be recognized through the posterior optimization trajectory generator in the target visual model to obtain a second feature to be recognized for indicating the subsequent reasoning direction of the target visual model; performing semantic recognition on the target feature to be recognized obtained by fusing the first feature to be recognized and the second feature to be recognized through the target visual model to obtain an image recognition result of the image to be recognized. In this way, the accuracy of image recognition by the model can be improved while improving the recognition efficiency of image recognition.

The invention discloses an intelligent switching control system for a transformer in a power distribution area, and relates to the technical field of transformer switching control. A transformer detection terminal is arranged to periodically collect load data of the transformer in the power distribution area in a target area in a target power grid; a user side processing unit periodically collects user side load data in a target area, the user side processing unit processes the user side load data, a basic sequence and a recursive sequence are determined based on frequencies of different arrays to be verified in the user side load data in the processing process, a first compression mapping chain and a second compression mapping chain are constructed, and the first compression mapping chain and the second compression mapping chain are compressed. A mapping relation is established by using a shorter character sequence based on the basic sequence and the first and second compression mapping chains thereof, so that the capacity of user side load data is greatly compressed, the transmission rate of the user side load data in a network is further shortened, a switching strategy terminal can receive the data more quickly and input the data into a model, and the user side load data transmission efficiency is improved. And the generation rate of the commissioning and quitting strategy is accelerated.

The invention belongs to the technical field of garment reverse design, and provides an automatic flattening method and system for a three-dimensional long-sleeve mesh model.The automatic flattening method for the three-dimensional long-sleeve mesh model comprises the following steps that the three-dimensional long-sleeve mesh model is preprocessed; detecting boundaries of the three-dimensional long-sleeve mesh model, and determining double boundaries; performing double-layer traversal on the double boundaries, and calculating geodesic distance between every two vertexes in the double boundaries; sorting the geodesic distances from small to large, and screening n groups of vertex combinations with the minimum geodesic distances; converting the geodesic lines corresponding to the n groups of vertex combinations into automatic cutting lines, and cutting the three-dimensional long-sleeve mesh model; measuring the area variation of the triangles in the flattened model after cutting, determining an optimal cutting scheme and completing the flattening of the three-dimensional long-sleeve mesh model; according to the invention, full-automatic flattening is realized, the device is suitable for long sleeve models with different buckling states and plate types, and the cutting line meets the clothing process requirements.

This invention discloses a synergistic method for cold-season grazing and warm-season fertilization in alpine meadows, belonging to the field of alpine grassland ecological restoration and sustainable agricultural management technology. The method includes the following steps: using UAV remote sensing to acquire spatial distribution information of litter in the cold-season grassland, and dividing the grassland into patches with different litter loads based on this information, implementing differentiated grazing by region; using a soil sensor network buried in the grassland to monitor soil temperature and moisture content, dynamically defining the start and end times of cold-season grazing and the operational window for warm-season fertilization; during the warm season, spraying the grassland with liquid nitrogen and phosphorus fertilizer containing synergists according to the warm-season fertilization operational window. This invention deeply couples the physical disturbance of cold-season grazing with the chemical regulation of liquid nutrients in the warm season, solving problems such as slow litter decomposition, low fertilizer utilization, delayed greening, and decreased soil fertility in alpine meadows, achieving a synergistic improvement in grassland production and ecological functions.

In order to make particularly quick and simple electrical contact with the ground potential of cable bushings of electrical cables with different diameters, a contact device is provided, which has at least one conductive, elastic, structured contact unit, which can have a first state and a second state and can be moved from the first state to the second state by energy input, in particular pressure, wherein the contact unit is designed so that in the first state it is ready for detachable insertion of a plurality of electrical cables and in the second state it fixes the cables and establishes electrical contact with the cable bushings of the cables.

The utility model provides an integrated water-cooling heat exchanger which comprises a fixed frame, a plurality of coolers fixedly arranged on the fixed frame, a fan assembly fixedly arranged on at least one side based on the coolers, and a wind scooper fixedly arranged between the fan assembly and the coolers. The fan assembly is combined to the cooler, compared with a single cooler, the cooling efficiency is higher, and the air cooling effect of the fan can be more concentrated due to the arrangement of the wind scooper; and on the other hand, the valve bodies used for control are arranged at the input end and the output end of the cooler, so that the input speed and the output speed of the heat exchange medium in the cooler are higher, and the use efficiency is higher.

The embodiment of the utility model discloses a water heater for recovering pure water, which comprises a filtering system, a water inlet pipeline, a pure water pipeline, a waste water pipeline, a heating pipeline and a second pressure tank, and the second pressure tank is connected with a first control valve and a second control valve. The first two-way pump is connected with the water inlet end of the RO membrane through the second pressure tank. Through the recycling pipeline, after the water heater is shut down, pure water which is heated but not received and used by a user is recycled, and it is guaranteed that when the user uses the water heater again, obtained head cup water is hot water meeting the temperature requirement.

The invention relates to the technical field of medicament concentration regulation, in particular to a medicament concentration regulation system, a medicament concentration regulation device and a method, and the medicament concentration regulation system comprises an information input / display device which is used for assisting personnel in acquiring original medicament concentration and target medicament concentration information and displaying relevant information of a medicament concentration regulation process; the processing device is connected with the information input / display device and is used for calculating the drug arrangement speed required for configuring the various original drug concentrations into the target drug concentration according to the input original drug concentration and target drug concentration information and sending out a control signal, and the control signal is used for controlling the drug arrangement speed of the various original drugs; and the liquid pumping device is connected with the processing device and is used for receiving the control signal and controlling the discharging speed of various raw medicaments, and in the medicament concentration adjusting process, the output speed of the raw medicaments is automatically calculated and controlled by a machine, so that the concentration of the medicaments is more reliably and accurately adjusted.

The invention relates to an image query method and device, computer equipment, a storage medium and a program product. The method comprises the steps of obtaining target image description information input by a target user in response to an image query request; inputting the target image description information into a text recognition network of an image query model to obtain a target image tag; selecting a reference image label matched with the target image label from the candidate image labels; wherein each candidate image tag is obtained by processing an image set input by a target user based on an image query model; and outputting a candidate image corresponding to the reference image label in the image set. According to the scheme, when the image query request exists, the target image description information can be input into the image query model, and the image corresponding to the target image description information can be quickly output without manual participation, so that the image query efficiency is improved.