121results about How to "Meet specific needs" patented technology

The invention discloses a live-action three-dimensional model construction method, system and device based on a digital city, and the method comprises the steps: obtaining the multi-source sensing data of a city, and carrying out the data preprocessing, and the multi-source sensing data comprises city image data, point cloud data and GIS data; converting the preprocessed multi-source sensing data in different formats into a preset standard format, and performing registration and fusion of the multi-source sensing data to obtain fused multi-source data; performing data optimization on the fused multi-source data, and constructing a city-level three-dimensional real scene model according to the optimized fused multi-source data and a preset three-dimensional space analysis tool; the preset three-dimensional space analysis tool provides space analysis and three-dimensional space visualization functions; according to the invention, efficient and accurate real-scene three-dimensional data of a city is provided, and three-dimensional and visual space information is provided.

The invention discloses an AI auxiliary limb rehabilitation system, and belongs to the field of communication control systems, the AI auxiliary limb rehabilitation system combines a sensing module, an AI analysis module, a VR interaction module, a feedback module and the like, comprehensively collects limb movement and physiological data, introduces gamification elements, improves the patient participation degree through target setting, an award mechanism and interesting tasks, and improves the rehabilitation effect. A personalized rehabilitation plan is generated by using a deep learning algorithm, an emotion recognition unit can adjust the plan according to a psychological state, environment self-adaption and real-time adjustment of training difficulty to ensure training safety and is challenging, data cloud storage facilitates remote monitoring, third-party equipment is compatible with extended monitoring ability, and the training efficiency is improved. A brand-new, efficient and personalized solution system scheme is provided for limb rehabilitation.

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 cardiac interventional operation scene reconstruction method based on 3D ultrasonic imaging rendering. The method comprises the following steps: collecting a preoperative computed tomography or magnetic resonance imaging image as prior information; the real-time 3D ultrasonic image sequence is preprocessed; the method comprises the following steps of: performing voxelization on an image by combining prior information, converting image data into voxel representation in a three-dimensional space, and creating an initial 3D Gaussian function set; parameters of the initial Gaussian function are optimized through an iterative optimization algorithm, so that the difference between the reconstructed image and the actual image is minimized; in combination with interventional catheter shape constraint, adaptive density control of a 3D Gaussian function is alternately carried out; and rendering tiles one by one by adopting a Gaussian sputtering technology based on the tiles to realize real-time three-dimensional scene reconstruction and display. According to the method, prior information and interventional catheter shape constraints are combined, various structures in an operation scene are represented and simulated by using a 3D Gaussian function, and efficient rendering is realized through a tile-based sputtering technology.

The invention discloses a heat preservation and thermal insulation project whole industrial chain quality tracing method and system, and the method comprises the steps: obtaining industrial chain data and monitoring data of a heat preservation and thermal insulation project, carrying out the tracing coding based on the industrial chain data and the monitoring data, and constructing a heat preservation and thermal insulation project whole industrial chain quality tracing network, determining industrial chain data corresponding to the to-be-traced monitoring data through the traceability code, and performing correction and anomaly screening on the to-be-traced monitoring data to obtain to-be-traced abnormal monitoring data, and according to the to-be-traced abnormal monitoring data and the thermal insulation project whole industry chain quality traceability network, determining a thermal insulation project whole industry chain quality hidden danger source. The method not only can improve the efficiency and accuracy of quality traceability of the whole industrial chain of the thermal insulation project, but also has good interpretability, and can be directly applied to a quality traceability system of the whole industrial chain of the thermal insulation project.

The invention discloses a household rehabilitation monitoring system for the disabled, and relates to the technical field of medical rehabilitation, and the system comprises the following components: a VR training platform, an electroencephalogram acquisition and processing module, a brain wave analysis and feedback module, and a personalized training content generation module. By integrating the VR training platform and the electroencephalogram collection and analysis technology, high personalization and intelligentization of rehabilitation training are achieved, the system can analyze electroencephalogram signals of a user in real time, the attention level, the emotional state and the rehabilitation progress of the user are accurately evaluated, the training difficulty and content are dynamically adjusted accordingly, and the rehabilitation training effect is improved. The real-time feedback and adjustment mechanism ensures that rehabilitation training is always matched with the current state of the user, so that the rehabilitation training effect is remarkably improved, meanwhile, generation of personalized training content meets specific requirements of different users, and the training experience and satisfaction degree of the user are improved.

The invention relates to the technical field of illumination control, in particular to a public place illumination intelligent regulation and control method capable of distinguishing multiple environments. The method comprises the following steps: firstly, classifying public places, analyzing activity and personnel behavior characteristics of the public places, determining an illumination function and influence variables, and defining a target model; secondly, establishing an analytic hierarchy structure, and constructing a judgment matrix to calculate a weight vector and check consistency by taking an illumination function as a target layer, relevant factors as a criterion layer and public places as a scheme layer, and distributing regulation and control weights; and finally, determining lighting functions and a target model thereof according to the priority, setting an initial value, adjusting variables, solving a current value, judging whether the current value meets a threshold value or not, and regulating and controlling in sequence until all lighting functions are met. According to the method, the requirements of different places can be accurately met, the regulation and control weight is scientifically determined, multi-target regulation and control are efficiently realized, and a flexible regulation and control strategy is also provided.

The utility model discloses a magnetic aeration stirring device, which comprises a stirring disc circumferentially rotating around the axis of the stirring disc, the stirring disc comprises a paddle assembly and a magnetic rotor assembly, and the rotation of the stirring disc is realized through the magnetic coupling effect between the magnetic rotor assembly and an external driving assembly; the annular aeration disc is arranged on the outer side of the stirring disc in a surrounding mode, the annular aeration disc and the stirring disc are arranged in a split mode, and an air outlet part is arranged on the annular aeration disc; the connecting film is respectively fixed with the stirring disc and the annular aeration disc, so that the stirring disc is hermetically connected with the annular aeration disc through the connecting film. According to the technical scheme, the annular aeration disc and the stirring disc are separately arranged, so that the annular aeration disc and the stirring disc can be independently manufactured, the manufacturing cost is reduced, parts of various models can be conveniently assembled and matched, and the suitability is improved.

The invention belongs to the technical field of informatization security and secrecy, and particularly relates to an encrypted optical disc illegal external connection alarm tool which comprises a recording and printing tool recorded in an optical disc in an encrypted mode and an internet detection module. And automatically associating a specific website after the recording and printing tool is opened, and judging that the compact disc is used illegally if the association is successful. According to the invention, information security management can be enhanced, the management efficiency is improved, the information security cost is reduced, comprehensive monitoring and timely alarm of the secret-related optical disk are realized, and the security and confidentiality of the secret-related information are greatly improved.

The invention discloses a porous carbon microsphere material, a silicon-carbon composite material and a preparation method and application thereof, and the preparation method of the porous carbon microsphere material comprises the following steps: S1, mixing a polymer, a solvent and conductive carbon black to obtain a precursor solution; s2, preparing the precursor solution into a carbon microsphere precursor material by adopting an electrostatic spraying method; s3, sequentially carrying out pre-oxidation and heat treatment on the carbon microsphere precursor material to obtain a spherical carbon material; s4, performing supercritical hydrothermal activation on the spherical carbon material, and performing post-treatment to obtain a porous carbon microsphere material; the activation temperature is 300 to 600 DEG C; the activation pressure is 15 to 30 MPa; the activation time is 0.5 to 1 hour. The porous carbon microspheres prepared by the invention have a series of adjustable physical and chemical characteristics, highly developed pore structures, high mesoporosity and better mechanical strength, and can enable lithium ion batteries to have the characteristics of low pole piece expansion rate, high first coulombic efficiency, excellent cycling stability and the like when being further applied to the lithium ion batteries.

The invention relates to a multi-mode stimulation dysphagia training optimization method. According to the technical scheme, the method comprises the following steps that basic physiological data including age, gender and medical history of a patient and real-time swallowing data including throat muscle activity, electrophysiological signals and swallowing pressure of the patient are collected; performing fusion processing on the real-time swallowing data S1.1 by using a multi-modal data fusion technology to generate a personalized swallowing function evaluation report; on the basis of an evaluation result, a personalized dysphagia training scheme is generated through an intelligent algorithm, and the personalized dysphagia training scheme comprises a combination of multiple stimulation means such as tactile sensation, electrical stimulation, light stimulation and sound stimulation; constructing a real-time data acquisition and feedback system, and monitoring multi-modal data including muscle activity, sound signals, facial expressions and respiratory rate of a patient in a training process in real time by using a sensor; through a dynamic time warping (DTW) algorithm, real-time monitoring data is compared with an expected index in a training scheme, and the stimulation intensity and mode are adjusted in real time.

The invention relates to the field of sunlight greenhouse control, in particular to a heat storage capacity intelligent control method for an assembly type sunlight greenhouse. The method comprises the following steps: acquiring a multi-dimensional environmental parameter vector sequence and an initial PID parameter value of a crop; obtaining an environment parameter fluctuation factor, a crop growth stage factor and a long-term environment trend factor according to the multi-dimensional environment parameter vector sequence, and obtaining a target clustering number and a clustering cluster; obtaining a target clustering cluster according to the distance between the new multi-dimensional environment parameter vector and the cluster center of the clustering cluster; and calculating a PID parameter adjustment factor according to the distance between the new multi-dimensional environment parameter vector and the cluster center of the target cluster and the internal and external temperature difference, obtaining a final PID parameter according to the PID parameter adjustment factor and the initial PID parameter value, and performing real-time control on the heat storage amount of the greenhouse environment where the crops are located. According to the method, selection of the K value in clustering is optimized, so that the K value can adaptively respond to changes of environment and crop growth requirements.

According to the generative image information steganography method provided by the invention, a memristor is implanted into an existing chaotic system, a new memristor chaotic system NCSM is constructed, the system can generate a chaotic sequence with higher randomness, and when the system is applied to image encryption, the security of an encrypted image can be improved; in the aspect of image steganography, a ciphertext image is converted into a generative steganography image through a generative reversible neural network model Glow, so that the information security of a plaintext image is ensured, and the visual security of the ciphertext image is also ensured; different from a current model based on irreversible adversarial generation, the generative reversible neural network does not need to train a decoder, so that the complexity of the model and the training difficulty of the model are reduced; besides, by optimizing the input of the reversible generation model, the content of the generative steganographic image can be controlled to a certain extent, and the method can adapt to wider application scenes.

The invention discloses a visual configuration method and device based on a ToB service and a medium, and relates to the technical field of page configuration. The method comprises the following steps: acquiring login information of a user, and judging whether the user has a management authority of visual configuration or not according to the login information; under the condition that the visual configuration management authority exists, title content and icons input by a user are obtained; extracting features of the title content, and matching the features with a preset theme template; after the user selects the theme template, a login page is generated according to title content and an icon input by the user, a user-defined tool chain, a verification code option and a page component are sent, and a preview of the theme template is displayed in a preview area in real time; and under the condition that the verification code is opened, providing a verification code sending channel. According to the method, the login page meeting the customization requirement is rapidly generated, the development period is greatly shortened, the development efficiency is improved, and the product landing cost is reduced.

The invention discloses a liquid rocket engine thrust chamber with a lattice regenerative cooling structure and a design method thereof, and belongs to the field of engines, and the design method comprises the following steps: determining the overall structure of the liquid rocket engine thrust chamber according to the project general situation; determining the lattice regenerative cooling structure as a truss lattice structure, selecting the truss lattice structure, and determining a layout mode; designing the determined three-dimensional model of the thrust chamber by using computer aided design software; exporting the three-dimensional model as an STL (Standard Template Library) file, and representing the surface of the three-dimensional model by using triangular grids by the STL file, so as to facilitate subsequent 3D printing treatment; and performing selective laser melting and printing to form a thrust chamber product, and performing post-treatment after printing is completed. The lattice regeneration cooling structure is directly arranged between the inner wall and the outer wall of the thrust chamber, so that the weight is greatly reduced, the effective heat transfer coefficient of the cooling channel is increased, the strength of the inner wall and the cooling channel is improved, and the service life of the thrust chamber is prolonged.

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 silk fibroin hard material, a preparation method and application, and the preparation method comprises the following steps: carrying out bubble removal treatment on a solution containing regenerated silk fibroin to obtain a high-purity silk fibroin solution or a silk fibroin / gelatin composite solution; and performing gel treatment on the high-purity silk fibroin solution or the silk fibroin / gelatin composite solution to obtain the silk fibroin hard material. The method has the advantages that the prepared silk fibroin solution has extremely high purity through the steps of fine degumming, washing, dissolving, dialysis and concentration and the treatment of centrifugal bubble removal.

The invention discloses a danger source diffusion prediction and early warning method and device, and relates to the technical field of pollution diffusion early warning, and the method employs advanced artificial intelligence algorithms, such as a neural network, logistic regression and a decision tree, and can predict the danger source diffusion condition and the danger degree at any position and at any time period in the future. Fixed or mobile equipment (such as an unmanned aerial vehicle, a robot and the like) is used for collecting data in real time, the collected data are more accurate, and through the data processing method, the model adapts to any collection time and point location. Deployment of data acquisition point locations is optimized through prediction results, model training is repeatedly performed on acquired real-time data to update a current model, and prediction accuracy and real-time performance are further improved.

The invention discloses a notebook computer endurance optimization method combined with an AI technology, and relates to the technical field related to data processing, the method comprises the following steps: obtaining a user endurance optimization target, the user endurance optimization target comprising target endurance time and endurance constraint conditions; obtaining the residual electric quantity of the notebook computer of the user; according to the residual electric quantity and the target endurance time of the notebook computer of the user, obtaining an endurance target threshold value; positioning optimization target parameters according to the endurance constraint condition; and taking the endurance target threshold as an optimization target, and performing strategy optimization on the optimization target parameter according to the endurance constraint condition to obtain an endurance control parameter strategy. According to the method and the device, the technical problem that dynamic endurance optimization cannot be carried out according to personalized requirements of the user due to the fact that the use scene and the actual operation state of the user are not fully considered in the prior art is solved, and the technical effect of intelligently prolonging the endurance time of the battery of the notebook computer on the premise of meeting the specific requirements of the user is achieved.

The invention relates to the technical field of image processing, and discloses an image processing method of an LED dome screen display screen, comprising the following steps: S1, according to the size of the LED dome screen display screen and the size of a source image supported by a playing system, generating a virtual target image having the same shape as a dome screen, the size of the virtual target image being proportional to the actual size of the dome screen; s2, performing plane cutting on the virtual target image according to each row of pixel points forming the LED dome screen display screen to form corresponding hemispherical arcs; and S3, unfolding the generated hemispheroid arc and projecting the hemispheroid arc into a two-dimensional projection plane. Through accurate image mapping and deformation processing, the visual effect of a source image presented on an LED dome screen is the same as that of the source image presented on a flat panel display screen, an adaptive mapping algorithm is used, the deformation degree of the image can be dynamically adjusted according to image features, it is ensured that each frame of image can keep high-quality display at different visual angles, and the image quality is improved. And the viewing experience of the user is greatly enhanced.

The invention relates to a multi-mode interactive intelligent office lighting system, which provides a user-friendly and highly-automatic lighting control solution by combining voice and gesture recognition technologies. The system mainly comprises a lighting unit, a control unit, a voice recognition unit, a gesture recognition unit and a user preference recording unit. The control unit is designed to receive and process control signals from the speech recognition unit and the gesture recognition unit within a time window. According to the received control signal, the system can flexibly adjust the setting of the lighting unit so as to adapt to the specific requirements of the office environment. And if no control signal is received within the specified time, the system performs illumination adjustment according to settings stored in the user preference recording unit, so that the continuity and individuation of the illumination environment are ensured. The design of the intelligent lighting system considers the dynamism and diversity of the office environment, optimizes the lighting experience of the user through the intelligent technology, and improves the working efficiency and comfort.

The embodiment of the invention provides a family environment management method and device, equipment and a medium, and the method comprises the steps: obtaining member information of family members in a house, including expressions, voices, body motions and personalized information; determining emotional states of the family members according to the expressions, the voices and the body actions; according to the emotional states and the personalized information of the family members, personalized space management schemes are generated for the space where the family members are located, and the personalized space management schemes comprise at least one of an air management scheme, a sound management scheme and a light management scheme; according to the air management scheme, air conditioning equipment is controlled to adjust the air environment, and / or according to the sound management scheme, sound production equipment is controlled to produce sound, and / or according to the light management scheme, light equipment is controlled to adjust the light environment. Different intelligent devices are dynamically managed and adjusted through the home host, specific requirements of different family members are met, and a series of problems of single management of environmental parameters, insufficient health risk management and the like are solved.

The utility model provides a photosynthetic bacterium fermentation tank capable of intelligently regulating and controlling illumination intensity, which comprises a tank body, the tank body is also provided with a feed port, an inoculation port, a carbon dioxide electrode, a temperature and photometric electrode, a gas inlet pipe, a gas outlet pipe, an illumination device, a detection device and a stirring device, the illumination device is composed of a plurality of layers of annular LED lamp ring sets, each annular LED lamp ring set comprises a glass tube, an LED lamp set, a support, a built-in fixing plate and a chip circuit, and the illumination intensity of the illumination device is divided into a first level, a second level and a third level. More uniform and three-dimensional illumination conditions are provided for the photosynthetic bacteria, so that the utilization efficiency of light energy and the photosynthesis efficiency of the bacteria are remarkably improved.

The invention discloses a city update obligee relationship network analysis system and method, and the system comprises a data collection module which is used for collecting various types of data related to city update, a relationship construction module which is used for constructing a city update obligee relationship network according to the collected data, and a data analysis module which is used for analyzing the city update obligee relationship network. The analysis module is used for carrying out deep analysis on the constructed obligee relation network, outputting an analysis result to a user by adopting a graph analysis algorithm and a data mining technology and a result output module, and the dynamic updating module is used for continuously monitoring the change condition of city updating related data and evaluating potential risks in a city updating project according to the analysis result of the obligee relation network. According to the method, data safety and reliability are ensured through encryption transmission and verification, a relation network is constructed through multiple factors, city updating is assisted through accurate analysis, practicability is improved through dynamic updating and risk assessment, and powerful technical support is provided for city updating projects.

The invention relates to the technical field of vehicles, in particular to a car owner interconnection service recommendation method and device, a vehicle, a medium and a program product, and the method comprises the steps: recognizing an actual scene where a target user is located; predicting the actual demand of the target user according to the actual scene and the household user demand rule; according to the actual demand, the remote service which can be provided by the vehicle end is determined, and the remote service is used for sending a control instruction to the household equipment associated with the vehicle end. Therefore, the problems that in the prior art, interaction support between the user and the family members is insufficient, deep services cannot be provided according to personalized requirements of the family members, and the user experience is poor are solved.

The invention discloses an industry application-oriented task custom field configuration system and method, and the system comprises a form basic information module which is used for storing and managing task type data and is a basic information base of the system; the custom field module is used for managing custom field metadata configured by a user and supporting various operations and attribute management of fields; the form field binding module is used for dynamically binding and synchronizing custom fields configured on the visual interface by a user and the task type data table; and the task data storage module is used for carrying out associative storage on the task basic information and the custom field information and providing an efficient data retrieval function. According to the method, the user is allowed to autonomously define and configure other business fields except the fixed field in the task according to the actual special requirements of the industry, the task information storage range is effectively expanded, and the applicability and flexibility of the system are also remarkably improved.

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 provides an open space immersive system with high-speed dynamic intelligent voice. The open space immersive system comprises an audio receiving device, an audio output device and at least one processor. The processor executes the sound elimination module, the intelligent voice recognition module, the audio processing module and the processing module. The intelligent voice recognition module comprises a parallel waveform neural network for generating a real voice signal based on environment sound, an MFCC unit for extracting audio characteristics and a voice recognition module for mapping the audio characteristics to a voice instruction. The audio processing module plays the sound effect in the immersive area. The sound elimination module receives the error sound and generates a reverse audio output to counteract the sound. And the processing module generates a corresponding control instruction according to the voice instruction, switches an audio output mode of the audio processing module or a reverse audio output mode of the sound elimination module, immediately determines an instruction of a user through high-speed voice recognition, and immediately feeds back a signal according to the voice instruction of the user so as to control audio output experience and a sound elimination effect.

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.