22results about How to "Meet specific needs" patented technology

The invention provides a method and a system for intelligently generating a complete dispatch report for financial unfavorable assets, and relates to the technical field of data investigation and arrangement, comprising Sp1, complete dispatch demand acquisition, Sp2, intelligent reasoning planning, Sp3, data acquisition and processing, Sp4, public opinion retrieval and analysis, Sp5, legal information extraction and verification, Sp6, data integration and report generation, and Sp7, report modification and output, and the method comprises the steps of Sp1, complete dispatch demand acquisition, Sp2, intelligent reasoning planning, Sp3, data acquisition and processing, Sp4, public opinion retrieval and analysis, Sp5, legal information extraction and verification, Sp6, data integration and report generation, and Sp7, report modification and output. By integrating a large model, an online retrieval tool, a data table tool and a key point extraction tool, automation and intellectualization of a complete dispatching process are realized. The system can automatically acquire, process and integrate data, greatly improves the efficiency of data acquisition, analysis and report generation, and reduces the probability of manual intervention and errors.

The invention discloses a printed cloth defect detection method, and belongs to the technical field of printing. The method comprises the following steps: acquiring an image of to-be-detected printed cloth, and determining the height of a printed loop; intercepting an image containing n patterns from the acquired image as a standard image, wherein n is greater than or equal to 1; converting the standard image into a Lab color space and extracting an L channel to obtain a first image; segmenting the first image to obtain a first image sub-image, and counting and storing the sum of each column of pixels of the first image sub-image; acquiring at least one to-be-detected image of the printed cloth from the acquired images; the height of the to-be-detected image is consistent with that of the standard image; converting the to-be-detected image into a Lab color space and extracting an L channel to obtain a second image; segmenting the second image to obtain a second image sub-image, and counting the sum of each column of pixels of the second image sub-image; and detecting flaws of the printed cloth based on the sum of the columns of pixels of the first image sub-graph and the sum of the columns of pixels of the second image sub-graph.

The invention relates to a shooting training method and device combining motion capture and image recognition. The method comprises the steps that motion capture equipment is used for collecting displacement tracks of different identification points in the shooting process; generating displacement tracks of different limb classifications according to the identification point set and the displacement track of each identification point; acquiring a basketball key frame in a shooting process and acquiring initial shooting data in the shooting process by using image acquisition equipment; performing data screening and classification on the initial shooting data based on the hit basket position; and analyzing the correlation degree of the hit basket position in the shooting data set and the displacement tracks of different limb classifications. According to the method, the action capture equipment and the image acquisition equipment are combined to respectively obtain different limb action tracks and shooting data of the to-be-trained person in the shooting process in real time and carry out association analysis, so that the influence degree of different limbs of the to-be-trained person on a hit result in the shooting process can be accurately analyzed and obtained; and more targeted training and improvement are provided for weak points of limbs.

The invention relates to the technical field of artificial intelligence, and particularly discloses a wound identification detection method and system based on deep reinforcement learning, and a cloud platform, and the method comprises the steps: obtaining all reference wound images of each to-be-detected wound image based on the organizational injury assignment result of all types of wound extraction information of each to-be-detected wound image; based on each to-be-detected wound image and an organizational injury assignment result of all types of wound extraction information of all reference wound images corresponding to the to-be-detected wound image, obtaining construction straight lines of all the reference wound images of each to-be-detected wound image; and based on the construction straight line of each reference wound image of each to-be-detected wound image, obtaining the optimal medical advice dosage of each to-be-detected wound image. According to the method, the optimal medical advice dosage of each to-be-detected wound image is accurately calculated by combining the wound tissue injury degree aspect and the wound area aspect, so that the specific requirements of a patient are better met.

The invention relates to a spatial position instruction fine tuning method based on a multi-modal large language model, and the method comprises the following steps: S1, converting a spatial position reasoning data set into a visual instruction format through employing a dialogue template, and obtaining a visual spatial position reasoning data set; s2, acquiring a large language model InternVL as a multi-modal large language model, performing pre-training on the general data set to obtain a pre-training model, reasoning the data set based on the visual spatial position, adjusting parameters of the pre-training model by adopting a low-rank adaptation method to obtain a trained large language model, and outputting a description corresponding to a spatial task by the large language model; and S3, introducing a text-based large language model, and optimizing the description corresponding to the space task based on the large language model. Compared with the prior art, the method has the advantages that the ability of the multi-modal large language model in understanding and generating context rich description is fully utilized, and the ability of the model in generating accurate and detailed description is enhanced.

The present invention relates to the field of detection of quarter wave plates, and specifically to a fast-slow axis direction detection device. The device comprises a polarized light input module, a polarizer and a light detection module which are arranged in sequence, and the quarter wave plate to be detected is arranged between the polarized light input module and the polarizer. The beneficial effect of the present invention is that, compared with the prior art, the present invention uses a fast-slow axis direction detection device, which is only used for the detection of the fast-slow axis direction, identifies whether the installation direction of the quarter wave plate to be detected is correct, and abandons other functions, so that the function is more single and meets the specific needs of users; at the same time, the operation is simpler, the labor cost is low, the structure of the whole device is simple, the cost is low, the difficulty of later maintenance is low, and it is suitable for large-scale promotion and use; and it is dedicated to the detection object with a specific setting, that is, the quarter wave plate to be detected on the detection light chip, and the detection success rate is very high only when it is correctly installed or incorrectly installed.

The application relates to the field of workpiece defect detection, and discloses a workpiece end face defect detection method and system based on deep learning, which comprises the following steps: acquiring an end face image of a machined workpiece, performing image enhancement and region marking on the end face image to obtain an end face enhanced image and an end face marked region, querying abnormal points corresponding to the end face marked region, calculating an image offset of the workpiece end face image in a preset direction, querying an image difference frame corresponding to the workpiece end face image according to the image offset, extracting pixel values of the image difference frame, calculating an image difference value of the workpiece end face image, performing classification detection on the workpiece end face image by using a preset end face detection model to obtain a classification image, identifying a defect region in the classification image, extracting region features, and performing defect detection on the workpiece end face image to obtain a defect detection result of the machined workpiece. The application can improve the detection efficiency of workpiece end face defects.

A post-cast strip special-shaped disc buckle back shore node comprises a triangular lattice type disc buckle frame, the triangular lattice type disc buckle frame comprises supporting main pipes and cantilever frames, connectors used for being connected with a top support are reserved at the top ends of the supporting main pipes, and the cantilever frames are fixed to the same sides of the two supporting main pipes. The length of the cantilever frames is matched with the distance between the central axis of the post-cast strip and the outermost side, close to the post-cast strip, of the formwork supporting frame, the two cantilever frames are arranged in parallel, and the two supporting main pipes and the ends, away from the supporting main pipes, of the two cantilever frames are connected and fixed into a whole through horizontally-arranged transverse connecting rods. The end, away from the supporting main pipe, of the cantilever frame is fixedly provided with a vertically-arranged cannon head used for being connected with a jacking, and a first disc buckle is fixedly arranged at the joint position, connected with the transverse connecting rod, of the exterior of the supporting main pipe in a sleeving mode. The device is convenient to erect, sufficient in space and stable in structure, the maintenance cost caused by common problems can be reduced, and the stability and the safety of a main body structure in the construction period are ensured.

This utility model relates to a high-strength steel hot-rolled steel battery lower casing, comprising: a lower casing welded assembly and a bottom protective plate. The lower casing welded assembly is made of high-strength steel and includes: two first frames, a second frame, and a third frame. The two first frames are arranged parallel to each other, and the second and third frames are respectively located at both ends of the first frames and connected to the first frames by welding to form a cuboid shell structure. A plurality of rivet nuts are respectively riveted to the first, second, and third frames, and the rivet nuts are coated with sealant. The lower casing welded assembly is mechanically connected to the bottom protective plate and the module liquid cooling plate by bolts, which are set on the rivet nuts and mechanically connected to them. This utility model has a reasonable structural design, high strength, good mechanical properties, and a simple rolling section, making it particularly suitable for the trial production of multiple products. It solves the problem of high-strength steel connection process and saves high mold manufacturing costs.

The invention belongs to the technical field of composite material preparation, and particularly relates to a tungsten infiltrated copper composite material and a preparation method thereof. According to the invention, through a multi-scale through pore network formed by'prefabricated material construction ', molten copper liquid can be rapidly filled along a large pore channel and fully permeates into the tail end of a small pore, so that the defect of'black core' generated by closed pores is thoroughly avoided. According to the prepared composite material, the tungsten phase and the copper phase respectively form a stable and communicated three-dimensional network, so that the unification of high conductivity (greater than or equal to 60% IACS), high strength and toughness (hardness greater than or equal to 100 HB) and excellent arc ablation resistance is fundamentally and synergistically realized, and the long-standing limitation of'impossible performance triangle 'is effectively broken through. And the process is high in integration level, green and remarkable in strengthening effect, and process simplification, environmental protection strengthening and performance improvement are achieved at one stroke. The advantages of raw materials and process cost are outstanding, the industrialization prospect is wide, and the relationship among high performance, designability and mass productivity is perfectly balanced.

The utility model discloses a measuring device for measuring the internal temperature of equipment, and belongs to the technical field of industrial equipment detection. The defect that temperature field distribution in equipment cannot be reflected by fixed point measurement in the traditional measurement setting in the prior art is overcome. The main body structure of the device comprises a sleeve, N through holes are arranged in the sleeve, a transmission lead is arranged in each through hole, one end of each transmission lead is provided with a temperature measuring end, the other end of each transmission lead is provided with a wiring piece, the sleeve is also provided with a connecting piece used for being connected with a cabinet body, and N is a positive integer greater than or equal to 1. The temperature monitoring device is mainly used for monitoring the internal temperature of equipment such as a disinfection cabinet.

The invention relates to the technical field of aluminum-based composite materials, and discloses high-dispersion carbon nanotube alloy particles, a preparation method and application thereof and a method for preparing an aluminum-based composite material. Comprising the following steps: burdening according to aluminum alloy components, and heating raw materials to a molten state to obtain mother alloy melt; and a gas atomization method is adopted, high-pressure inert atmosphere loaded with carbon nanotubes is used for impacting the mother alloy melt, the mother alloy melt is crushed into fine mother alloy molten drops, the surfaces of the carbon nanotubes are coated with the fine mother alloy molten drops, and the high-dispersion carbon nanotube alloy particles are obtained after cooling. According to the method, the carbon nanotube alloy particles are prepared in one step through the gas atomization method and used for preparing the aluminum-based composite material, structural damage and impurity introduction of the carbon nanotubes are effectively avoided, the dispersion and prefabrication efficiency of the carbon nanotubes is improved, and batch production is facilitated.

The application discloses a hand exercise device, which comprises a ring body, a counterweight and a handle. The ring body is internally provided with a rolling channel arranged in a circle. The counterweight is rollingly installed in the rolling channel. The handle is installed on the ring body, is arranged along the radial direction of the ring body and is located on the outer side of the ring body, so that the hand exercise device is in the shape of a racket. The handle is arranged on the ring body, so that the hand exercise device is in the shape of a racket and is convenient for a user to hold. Meanwhile, the handle also increases the shaking distance of the counterweight and the hands of the user. When the hand exercise device is shaken with the wrist, the elbow or the shoulder as the origin, compared with the exercise device with only a ring or the exercise device with a handle arranged in the ring body, the counterweight of the hand exercise device provided by the application can have a longer starting distance, so that the starting of the counterweight is more convenient or the counterweight is started with less power. Therefore, the application range of the hand exercise device provided by the application is improved.

The invention belongs to the technical field of crop variety innovation, and particularly relates to a breeding method and application of wheat capable of resisting gibberellic disease and herbicide-tolerant starter propagation. According to the method disclosed by the invention, through combination of molecular marker-assisted selection and backcross breeding, excellent characters from different donors are rapidly introduced into a genetic background of an excellent koji-making variety, so that accurate and efficient polymerization of target characters is realized, and the screening efficiency and accuracy can be improved; meanwhile, the screening index of starter propagation quality runs through the breeding process, so that the bred material is not only excellent in resistance and agronomic character, but also can meet the specific requirements of the terminal industry. The variety bred by the method provided by the invention can reduce the use of pesticides for preventing and treating gibberellic disease and reduce the pollution risk of fungaltoxin; the herbicide-resistant characteristic facilitates field weed management, and the yield and quality stability are improved; the special quality guarantees the high additional value in the starter propagation industry, and creates the value of the whole industrial chain from the field to the workshop.

The invention discloses a method for constructing an education VR simulation scene based on artificial intelligence, and the method comprises the steps: obtaining real image data, carrying out the pixel-level fusion of different resolutions and waveband data through a convolutional neural network, obtaining a multivariate fusion image, constructing a GAN model containing a generator and a discriminator, generating a first VR scene through adversarial training, and carrying out the recognition of the first VR scene. The method comprises the following steps: acquiring a first VR scene, segmenting pixels of the first VR scene to determine a region type, filling VR elements by using a variational auto-encoder to obtain a second VR scene, mapping and associating a teaching knowledge graph with the second VR scene to form a teaching path, constructing a recurrent neural network to learn emotion and view transition states of students on the teaching path, and updating the second VR scene according to preferences. Therefore, a final VR simulation scene is obtained for teaching. According to the method, a highly-simulated VR scene with teaching pertinence can be generated, the student state can be accurately perceived, the teaching immersion and effect are improved, and meanwhile, the method has relatively good interpretability.

The utility model relates to an intermediate-frequency power supply capable of timing control according to current time, which comprises an intermediate-frequency power supply control system, an intermediate-frequency power supply output circuit and a clock module, the intermediate-frequency power supply control system is electrically connected with the intermediate-frequency power supply output circuit, and the intermediate-frequency power supply control system is in communication connection with a 485 pin of the clock module to obtain current time parameters in real time; and timing is carried out according to the current time parameter, so that the medium-frequency power supply output circuit is controlled to output current to a load within a preset time. According to the utility model, the high-precision clock module is arranged in the intermediate-frequency power supply, so that the current time can be acquired in real time, and the timing control function of the intermediate-frequency power supply is realized according to the current time.

The embodiment of the invention provides a question and answer statement generation method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining a first word embedding vector corresponding to a query statement sent by a user terminal, and generating a query vector according to the first word embedding vector; obtaining a corpus comprising a plurality of pieces of document information and document vectors corresponding to the document information; obtaining inner product information of the query vector and each document vector, determining candidate document vectors in the plurality of document vectors according to the inner product information, and generating a candidate document set according to the plurality of candidate document vectors; inputting the candidate document set and the query vector into a preset generation model, analyzing the candidate document set and the query vector by the generation model, and outputting a question and answer statement; obtaining a second word embedding vector corresponding to the question and answer statement, and regenerating a candidate document set in the plurality of document vectors according to the second word embedding vector and the query vector; the generation model completes generation of the question and answer statement according to the regenerated candidate document set and the query vector.

The invention belongs to the technical field of data analysis, and discloses a teaching and training institution intelligent enrollment method and system based on big data analysis. The method comprises the steps that preprocessed education data is grouped according to schools and grades, any group is extracted, any student in any group is evaluated and analyzed based on a first data set, and an analysis result is obtained; extracting any subject, clustering the students in any group based on the first analysis result, generating a plurality of classification sets, generating a recommended course for the students in each classification set, extracting any student, and determining a recommended teacher based on the student basic information, the analysis result and the teacher information corresponding to the recommended course. And after traversing all the students in all the groups, recommending courses and teachers to generate personalized enrollment information for each student based on the analysis result corresponding to each student, and sending the personalized enrollment information to a contact terminal corresponding to each student. According to the technical scheme of the invention, intellectualization and precision of enrollment can be realized.

The application relates to the technical field of organic silicon materials and ultraviolet light curing, and discloses a preparation method of a (methyl) acryloxy silane oligomer and a UV cured product thereof. The method comprises the following steps: carrying out hydrolysis condensation reaction on KH-572 monomers, an alcohol solvent and a catalyst at 40-60 DEG C, and preparing KH-572 oligomers with a polymerization degree of 5-25 by controlling the hydrolysis conditions; and mixing the oligomers with methyl methacrylate and a photoinitiator according to a weight ratio of (60-70):(40-30):(1-3), and then carrying out ultraviolet light curing forming. The application solves the technical problem that the KH-572 monomers cannot be directly used for curing by controllable polymerization, and the obtained cured coating has the advantages of compact structure and controllable hydrophobicity. The preparation method is simple in process and easy for industrialized production.

The utility model discloses a straw pyrolysis carbonization furnace, which relates to the technical field of biomass carbonization, and comprises a carbonization furnace body, a gas combustion recycling mechanism and a pyrolysis platform, and the gas combustion recycling mechanism is arranged on the right side of the top of the pyrolysis platform. The gas combustion recycling mechanism comprises a gas outlet pump, a gas outlet pipeline, a combustion chamber, a gas inlet pump, a gas inlet pipeline and an exhaust pipeline, the gas outlet pump is fixedly mounted on the right side of the carbonization furnace body, the gas outlet pipeline is fixedly mounted on the right side of the carbonization furnace body, and the combustion chamber is fixedly mounted on the right side of the top of the pyrolysis platform and fixedly connected with the gas outlet pipeline. The straw pyrolysis carbonization furnace is provided with a gas combustion recycling mechanism, so that the function of combusting and recycling gas generated by straw at high temperature in the using process of the device can be effectively achieved, the straw pyrolysis carbonization furnace can combust and recycle the generated gas, and therefore the energy utilization efficiency is improved; and the influence on the environment is reduced.

The invention belongs to the technical field of natural language processing, and particularly relates to an oil and gas HSE professional question and answer method and system based on a knowledge enhancement large language model. The method comprises the following steps: designing an oil and gas HSE policy file ontology model, and collecting oil and gas HSE file information; constructing an HSE file knowledge graph according to the oil and gas HSE file ontology model, constructing a file vectorization knowledge base according to the oil and gas HSE file information, and obtaining an HSE file candidate set based on a file candidate rule; on the basis of the HSE file knowledge graph, the file vectorization knowledge base and the HSE file candidate set, oil and gas HSE field knowledge supplementation is provided for the language model, and a knowledge enhancement large language model is obtained; and performing oil and gas HSE professional questions and answers according to the knowledge enhanced large language model. According to the method, the knowledge graph technology is fused, so that high accuracy of oil and gas HSE professional questions and answers is ensured. When questions are answered, reference knowledge of the large language model can trace information sources, so that inaccurate information generated by'illusion 'questions is avoided, and the risk of safety accidents or environmental pollution is effectively reduced.

The invention relates to the technical field of automobile seat structures and discloses an automobile two-row seat structure and method.The automobile two-row seat structure comprises two-row left seats and two-row right seats, the sides, close to the two-row right seats, of the two-row left seats are open, and containing spaces for stretching seat bodies are formed in the two-row left seats; the interior of the containing space is in sliding fit with the stretching seat body through a sliding rail. Locking mechanisms capable of forming a locking state are arranged on the sides, close to each other, of the stretching seat body and the two rows of right side seats; the stretching seat body can be pulled out from the two rows of left side seats through the opening, moves to the two rows of right side seats through the sliding rail and is fixed through the locking mechanism; according to the invention, the sliding rail moves to the two rows of right seats, and the seat body is fixed and stretched through the locking mechanism; and under the condition that the three rows of seats are put down, the two rows of seats are changed into three persons from two persons originally, so that specific requirements are met.