87results about How to "Guaranteed match" patented technology

The invention relates to the technical field of artificial intelligence, in particular to an AI intelligent customer obtaining processing method and system, and the method comprises the following steps: collecting interaction data of a user and a platform, summarizing click, browsing duration and frequency information, extracting a user activity mode through an RNN and an LSTM network, analyzing the interest and behavior mode of the user, and generating a user behavior feature library. According to the method, the client acquisition process is optimized through data analysis and behavior prediction, the method does not depend on a traditional marketing means, user data are accurately analyzed through a sequence model, deep understanding of user behaviors is achieved, the accuracy of market segmentation is improved through refined analysis, it is ensured that marketing activities are matched with a target client group, and the marketing efficiency is improved. According to the method, the conversion rate is remarkably improved, the marketing means can be rapidly adjusted by means of intention recognition and real-time data analysis, synchronization with user requirements is ensured, the customer extension cost of the entity store is reduced by continuously integrating customer feedback and marketing data, and the problem that an entity store operator is difficult to obtain customers is solved.

The invention relates to the technical field of laser cutting, in particular to intelligent cutting equipment for aluminum alloy pipes, which comprises a machine table, a laser cutting head is arranged on the machine table through a lead screw transmission system, and a chuck for fixing the pipes is arranged on the machine table. The intelligent cutting equipment for the aluminum alloy pipe further comprises an in-pipe buffering mechanism, the in-pipe buffering mechanism comprises a bearing unit arranged in the pipe, a first supporting unit is arranged on the side, facing the chuck, of the bearing unit, a second supporting unit is arranged on the other side of the bearing unit, and a maintaining unit is arranged at the position, corresponding to the bearing unit, of the machine table. Through the high precision and high speed of the laser cutting technology and the ingenious design of the buffer mechanism in the pipe, the problem that slag adheres to the interior of the pipe to form adhering slag is effectively avoided, so that the cutting quality and the product percent of pass are improved, meanwhile, the automation degree and the intelligence degree of the equipment are high, manual intervention is reduced, and the cutting efficiency is remarkably improved.

The invention discloses a map generation method and device, a medium, equipment and a computer program product, and the method comprises the steps: receiving a target image for generating a map, and obtaining a three-dimensional model corresponding to the target image; rendering the three-dimensional model based on a plurality of preset rendering angles to obtain a rendering normal view of the three-dimensional model at each rendering angle; generating a normal feature and a physical rendering feature corresponding to the three-dimensional model at each rendering angle based on the rendering normal view, the target image and an image generation model; the vertexes of the three-dimensional model are updated based on a target normal view corresponding to the normal features, an updated target three-dimensional model is obtained, and the vertexes corresponding to the target normal view are the same as the vertexes corresponding to the target three-dimensional model; and generating a target UV map corresponding to the target three-dimensional model based on the target three-dimensional model and a target view corresponding to the physical rendering feature.

The invention provides a method capable of comprehensively evaluating the intelligent degree of household intelligent home equipment, and the method comprises the steps: reasonably selecting architecture parameters capable of reflecting the intelligent degree; data required by architecture parameters can be effectively obtained by collecting and analyzing multi-dimensional data such as categories, quantity and scores of household intelligent household equipment and App application use conditions, and meanwhile, intelligent degree scores required by model training are set in a reasonable mode, so that the intelligent degree of the intelligent household equipment is improved. And finally, a linear model is adopted to construct a scoring model, so that the development difficulty can be effectively reduced, the evaluation accuracy can be improved, and a convenient and effective evaluation means is provided for subsequent users, operators and the like. According to the method, whether the user uses the intelligent equipment or not can be judged through the App accessed by the user, a relatively reasonable score is made for a family of which the equipment model cannot be captured according to the App, and two sets of rating standards are further adopted, so that the matching between the score and the rating can be effectively ensured, and the reliability of an output result is improved.

The invention particularly provides a control method and device for self-cleaning of a water tank. The method comprises the steps of monitoring water quality data and cleaning data of each water tank in real time, selectively obtaining environment data of the water tanks according to the water quality data and the cleaning data of each water tank, and substituting the water quality data, the cleaning data and the environment data of the water tanks into a cleaning analysis and evaluation model when the environment data is obtained, obtaining a self-cleaning treatment scheme corresponding to the water tank, executing the self-cleaning treatment scheme on the water tank, obtaining cleaning water quality data of the water tank, and substituting the cleaning water quality data into the cleaning analysis and evaluation model again to obtain a self-cleaning evaluation result of the water tank. And feeding back the self-cleaning treatment scheme and the self-cleaning evaluation result to a user terminal corresponding to the water tank, and selectively cutting off water supply of the water tank based on the self-cleaning evaluation result of the water tank. And through real-time monitoring and timely self-cleaning treatment, water quality pollution is effectively prevented, and the safety of domestic water of a user is guaranteed.

The invention discloses a coal mine fireproof simulation training method based on a virtual reality technology, relates to the technical field of coal mine fireproof simulation training, is used for solving the problem that a virtual scene and student operation are asynchronous due to sensor data delay or misalignment in the training process, and comprises the following steps: collecting action data of a student in real time; comprise posture change, hand movement and position coordinate information. Seamless synchronization of the sensor and the virtual scene is ensured through the time synchronization algorithm and the dynamic compensation model, and the safety and effectiveness of training are improved. In combination with a sliding window, a prediction algorithm and a redundancy detection mechanism, the system has high fault-tolerant capability, and training continuity and stability are guaranteed. The dynamic path planning under the fire spreading trend is realized by adopting the A * algorithm, and the guidance is quickly adjusted and corrected when the trainee deviates from the path, so that the real-time response capability and the immersion of training are improved, and the trainee is helped to quickly make a decision and act in an emergency.

The invention relates to the technical field of wafer manufacturing, in particular to a wafer sorting and code reading all-in-one machine which has a wafer sorting function and an ID identification code reading function. In the wafer sorting process, the outer edge of the wafer continuously performs circumferential rotation motion due to the friction force from the circumferential plectrum assembly, the orientation of the positioning gap is changed, and the subsequent wafer is skillfully locked by the circumferential limiting assembly by means of the gravity of the wafer, and at the moment, the positioning gap is automatically locked by the circumferential plectrum assembly. According to the technical scheme, the positioning notch is used as the correcting reference, namely, one or more wafers are corrected, the other wafers continue to perform circumferential rotation motion, the positioning notch is also used as the correcting reference until all the wafers are corrected, the whole wafer correcting process is rapid, and good posture consistency is kept between the corrected wafers of the same batch. Furthermore, after the wafers are arranged, station transfer is not needed, and the code reading unit can read and identify the ID identification codes of the wafers in the same batch one by one.

The invention discloses a random field modeling method for quantifying an initial defect of a spherical shell structure. The method comprises the following steps: determining simulated spherical shell data corresponding to a target spherical shell; the simulated spherical shell data comprises spherical shell geometric information and spherical shell material information; determining a target correlation function and representative discrete points corresponding to a target spherical shell based on spherical shell geometric information and the spherical shell material information; determining a correlation coefficient matrix based on the target correlation function and the representative discrete points; performing eigenvalue decomposition on the correlation coefficient matrix to obtain a standard random field; and performing random field transformation on the standard random field based on a random field transformation formula to obtain a target random field corresponding to the target spherical shell. According to the method, the target correlation function and the representative discrete points are determined according to the simulated spherical shell data, the geodesic distance is introduced into the target correlation function, the spherical shell random field is established based on the eigenvalue decomposition method, the intrinsic correlation of the initial defect of the spherical shell can be accurately quantified, and then the accuracy of spherical shell performance analysis can be improved.

The invention discloses an electrocardiogram abnormal degree detection method based on artificial intelligence. The method comprises the following steps: removing low-frequency noise from original electrocardiogram data; constructing an electrocardiogram time sequence anomaly detection model according to the electrocardiogram signal after the low-frequency noise is removed; decomposing the electrocardiogram signal without the low-frequency noise into different low-frequency components and high-frequency components; performing threshold processing on the high-frequency component, and reconstructing an electrocardiogram signal; performing feature extraction on the electrocardiogram signal data subjected to noise interference removal to obtain an electrocardiogram feature sequence; inputting the electrocardiogram feature sequence into an electrocardiogram time sequence anomaly detection model for model parameter estimation, and outputting model parameters; and predicting a predicted value of the electrocardiogram feature sequence according to the estimated model parameters to obtain an electrocardiogram anomaly score. According to the method, after the electrocardiogram time sequence anomaly detection model is automatically constructed through the intelligent engine according to the electrocardiogram signal, the model parameters are adjusted, the accuracy and efficiency of electrocardiogram anomaly detection are improved, and the generalization ability is enhanced.

The invention discloses a time sequence sample generation method based on a conditional diffusion model, and relates to the technical field of industrial fault diagnosis. Aiming at the problems of label noise and sample scarcity faced by fault diagnosis in an industrial scene and the defects that an existing generation model lacks task guidance, is low in feature fidelity and the like, the method comprises the following steps: introducing condition information including fault attributes, equipment working condition parameters and diffusion time step information, and constraining a reverse denoising process of a diffusion model; a U-Net denoising model is improved, a decomposition and reconstruction module based on a Transform attention mechanism is additionally arranged, and complex time sequence dependence is captured; and constructing a composite loss function fusing the noise distance constraint and the MMD distribution constraint, and realizing adaptive adjustment of a weighting coefficient. And after training, reversely and gradually denoising to generate a sample meeting the fault diagnosis requirement. According to the method, the generated sample feature fidelity and the working condition adaptability are high, and sufficient high-quality samples can be provided for data-driven fault diagnosis.

The invention discloses a multi-lens acquisition video image processing method and system, and relates to the technical field of image processing, and the system comprises an image acquisition module, an image adjustment module, an audio acquisition module, an audio adjustment module, and a video detection module. According to the method and the system for processing the video images acquired by the multiple lenses, through an image acquisition module and an image adjustment module, when the video images acquired by the multiple lenses are identified, the range of the view field angle shot by the corresponding lens is identified, and the pictures acquired by the multiple lenses are sorted through the view field angle; the integrity of multiple pictures can be guaranteed, ghosting during synthesis of multiple images can be avoided through feature segmentation when the pictures are spliced, and sound effect positions of audios in the video pictures are adjusted by setting an audio acquisition module and an audio adjustment module and adjusting audio waveforms. And the audio sound effect position is matched with the video picture when the video is played.

The invention provides a technological process file data analysis method and device based on a knowledge graph. The method comprises the steps of obtaining two-dimensional design data of a technological process file; performing data reconstruction according to the two-dimensional design data, and generating a facility knowledge graph and a facility label group; matching and associating the facility knowledge graph and the facility label group to generate a facility combination label corresponding relation; and on the basis of the facility combination tag corresponding relation, associating the facility knowledge graph with the queried service data, and outputting target analysis data of the process flow file according to a preset data format, so that the two-dimensional design data of the process flow file is converted into the target analysis data in the data format with higher sharing performance. Checking or sharing can be carried out on a multi-design platform system, and the applicability and universality are high; the business information integrity of the target analysis data is ensured, so that the matching degree of the business information and the geometric information is ensured, the system complexity is reduced, the development cost is saved, and the conversion efficiency is improved.

The invention provides an AR-HUD parameter configuration method and system, a storage medium and an automobile, and the method comprises the steps: obtaining a lane line equation and image data in a preset range in front of the automobile in a current environment, obtaining a rendering coordinate of a lane line based on the image data, obtaining a target rendering parameter based on the lane line equation and the rendering coordinate, and writing the target rendering parameter into software configuration so as to display a target picture based on the target rendering parameter. According to the method, the target rendering parameter is acquired through the detected lane line equation and the image data, so that the rendering engine in the AR-HUD can directly draw the image data on the HUD virtual image, and the HUD display content is more fit with the display content through parameter configuration of the display picture; and meanwhile, the target rendering parameters are written into software configuration, so that the display performance of the HUD is improved, the method can be used for other rendering platforms, and the expansibility and flexibility of the system are improved.

The invention provides a power load management simulation system, method and device and a medium. The power load management simulation system comprises a digital simulator, hardware and simulation software under a unified specification standard. The hardware comprises a calculation unit, an actual physical device and a simulation interface under a unified specification standard; the simulation software is used for providing a digital model and a simulation environment required by simulation; the calculation unit is used for acquiring the operation data of the actual physical device according to the digital model and processing the data; the digital simulator is used for performing power load management simulation on the processed operation data in combination with a digital model; the simulation system provides hardware and simulation software which are unified in specification and standard, compatibility and stability of the system can be guaranteed, integration complexity is reduced, and real-time performance and accuracy of simulation results are improved. In the simulation method, a simulation link sequence and an implementation method of each link under a standard are provided, so that the correctness and credibility of a power load management simulation result are ensured.

The invention discloses a data processing method, electronic equipment, a storage medium and a program product, and relates to the field of large model technology and image data processing. The method comprises the steps that a target image corresponding to a preset object is acquired, and the target image comprises an image of the preset object and text information used for describing attribute features of the preset object; identifying the target image to obtain text information contained in the target image; and inputting the text information and the target image into a multi-modal large model, and performing information extraction on the target image by using the multi-modal large model to generate at least one piece of question and answer information. The technical problem that the image information mined from the image is inaccurate in the prior art is solved.

The invention relates to the technical field of medical equipment, and particularly provides full-automatic frozen section pasting equipment, which comprises a cabinet body, the cabinet body is provided with a section end, the section end is internally provided with a section cavity, and the section cavity is communicated with the section end; the laser sensing device is arranged in the slice cavity, and the laser sensing device is used for detecting the planeness of the tissue block to obtain adjustment data; and the clamping assembly is arranged in the slicing cavity, the clamping assembly and the laser sensing device are arranged in a spaced mode, and the clamping assembly comprises a clamping table, a transverse axis angle adjusting piece, a longitudinal axis angle adjusting piece and a clamping body which are sequentially and fixedly arranged from front to back. Therefore, accurate angle adjustment in the slicing process is achieved, it is ensured that the tissue block is always kept at the optimal slicing angle, and the slicing quality problem caused by personal errors is reduced. And the slicing operation efficiency and quality are greatly improved.

The invention relates to the field of test case generation and the field of financial science and technology, after a request for generating a test case of to-be-tested software is received, test information corresponding to the to-be-tested software is obtained, a test type of the to-be-tested software is analyzed according to a test object in the test information, and then according to a mapping relation between the test type and a test model, the to-be-tested software is obtained. The method comprises the following steps: determining a test model corresponding to to-be-tested software, selecting a proper test model according to a test type, then generating a first test case according to the test model and obtained test parameters, generating a preliminary test case, and finally performing coverage rate test on the first test case to obtain a second test case. And feeding back the second test case to the user terminal. According to the invention, the corresponding test model is selected according to the test type of the test object, and the test case generated by the selected test model is subjected to coverage rate detection, so that the coverage rate of the test case is ensured, and the efficiency of generating the test case is improved.

The invention discloses an LLM-based automatic table filling method and device, equipment and a medium, and relates to the technical field of data processing. The method comprises the steps of obtaining a to-be-filled table in a to-be-filled document, and recording the position of the to-be-filled table; obtaining a to-be-filled text input by a user; analyzing the to-be-filled table, and converting the to-be-filled table into an HTML format to obtain a first HTML table; the first HTML table, the text to be filled and a preset Prompt template are spliced and input into an LLM large model; analyzing an entity-attribute relationship between a header field in the first HTML table and the to-be-filled text through an LLM large model; automatically filling the first HTML table to obtain a second HTML table; and inputting the second HTML table to the recorded position to obtain a filled document. By implementing the technical scheme provided by the invention, the accuracy of automatic table filling can be improved.

The invention provides an electricity charge anomaly root positioning method, device and equipment based on feature fusion, and relates to the technical field of power systems, and the method comprises the steps: carrying out the clustering of user load curves of all target users in a target region in a preset time period, obtaining a plurality of clusters, and determining a power utilization mode of each target user; based on the user type, the spatial position and the electric charge calculation rule of each target user, determining the user attribute and the charging rule of each target user, and further combining the power consumption mode and the electric charge data set generated by each target user in the preset time period to obtain the abnormal electric charge information of each target user. And determining an anomaly index matrix of each target user, and inputting the anomaly index matrix into a pre-trained deep learning model to obtain an anomaly root and an electricity charge anomaly repair scheme in the target area. According to the invention, the abnormity source can be accurately determined through the abnormity conditions of multiple dimensions, and the matching degree of the abnormity repairing scheme and the abnormity source is ensured.

The application belongs to the technical popularization technical field, and provides an interactive method, system and propaganda cart with technical popularization, which comprises the following steps: adopting a K-means clustering algorithm, performing clustering analysis on user data according to a preset propaganda type, and outputting a clustering cluster; based on any clustering cluster, determining a popular time period by performing time sequence statistical analysis on user historical behavior data; acquiring an existing propaganda type, comparing and analyzing the existing propaganda type with the preset propaganda type, judging whether there is a lack of the existing propaganda type compared with the preset propaganda type, and generating a first popularization sequence list; if there is a lack, performing feature similarity analysis on the missing propaganda type and the non-missing propaganda type, identifying similar propaganda types in the non-missing propaganda type, and generating a second popularization sequence list; and the application tilts key resources to high-potential user clusters and optimal popularization time periods, thereby reducing popularization cost and improving popularization cost performance.

The present invention relates to the field of image processing technology, and in particular to an image defogging method, system, electronic device and storage medium. The image defogging method comprises: constructing an image defogging model and training it; wherein the image defogging model comprises: a shallow feature extraction module, a feature fusion module and an image reconstruction module; the shallow feature extraction module is used to extract shallow primary features of a sample foggy image; the feature fusion module is used to encode, decode and fuse shallow primary features to obtain fused image features; the image reconstruction module is used to perform image channel conversion on the fused image features to obtain converted image features, and fuse the converted image features with the sample foggy image to obtain a sample defogging image; the foggy image to be processed is input into a trained image defogging model to obtain a target defogging image. The present invention improves the efficiency and accuracy of defogging, effectively eliminates the influence of fog on the image, and restores clearer and more accurate image details.

This invention discloses a concrete mix design and manufacturing method for underground engineering concrete in a coupled environment of underground environment and load, relating to the field of underground engineering concrete technology. It aims to address the problem that traditional concrete mix design does not fully consider the coupling effect of underground environment and load. The underground environment includes groundwater erosion, wet-dry cycle, and temperature fluctuation; the load includes stress ratio. α s Dynamic load frequency and dynamic load amplitude α d This leads to technical problems such as insufficient erosion resistance, crack resistance, and mechanical stability of concrete, resulting in a short service life. This mix design is based on quantitative analysis of coupled environmental parameters. With cement, composite admixtures, recycled aggregates, modifiers, water, and additives as core components, the basic mix proportion is determined through a mapping model between "environment-load" coupled parameters and component content. The target mix proportion is then obtained through orthogonal experimental optimization. The manufacturing method includes four core steps: raw material pretreatment, graded mixing, gradient curing, and coupled environmental simulation curing.

The invention relates to the technical field of livestock breeding, discloses a live pig breeding virus detection device for animal husbandry, and solves the problems of low detection efficiency and poor detection continuity caused by lack of automatic feeding of a sample tube in an existing live pig breeding virus detection device. The paper feeding device comprises a workbench, a frame plate arranged on one side of the workbench, an air cylinder arranged on one side of the frame plate, a pipe rotating structure rotationally connected to one side of the frame plate and a paper feeding structure arranged on the other side of the workbench, and a driving wheel and a driven wheel driven by a two-way motor are matched with a material storage pipe, a hopper and other structures on a disc; continuous feeding is achieved, the sample handling capacity in unit time is greatly improved, the manual burden is relieved, the sample handling capacity is improved, the efficiency is improved, in the sample discharging link, detected sample pipes can be automatically ejected out and automatically discharged to a pipe collecting box, manual work is not needed in the whole process, the rotating disc can be rapidly emptied, sample residual pollution is prevented, and the production efficiency is improved. And efficient and safe detection of the farm is realized.

The invention relates to the technical field of gate valve assembly, in particular to gate valve assembly equipment which comprises a base, a bottom cavity is fixed to the top of the base, a motor is fixed to the bottom of the bottom cavity, a conduction rod is fixed to the top of the output end of the motor, a rotating disc is fixed to the top end of the conduction rod, and a rotating shaft is rotatably connected to the inner side of the rotating disc. A gear is fixed to one end of the rotating shaft, a clamp is fixed to the middle of the rotating shaft, a guide rail is arranged at the top of the bottom cavity, a tooth plate is slidably connected to the inner side of the guide rail in a clamped mode, a material supply part is arranged at the top of the bottom cavity, and a material lifting plate is arranged on the inner side of the material supply part. Therefore, inconvenience caused by narrow operation space or poor angle is effectively avoided, the convenience directly and remarkably improves the installation efficiency, and the installation precision is also improved.

The invention relates to the technical field of thermal management of electronic equipment, and discloses a precise temperature control method for components on a circuit board, and the method comprises the steps: executing multi-dimensional state synchronous sampling through a vertical conduction structure of a heat conduction through hole and a shielding shell, and obtaining the shell temperature, the environment temperature and the load current; processing current data by using amplitude domain judgment filtering and calculating instantaneous thermal power, substituting the instantaneous thermal power into a discretized thermal resistance-thermal capacity observer model to calculate the virtual junction temperature of a component to be subjected to temperature control in real time, and calculating the total thermal regulation power by adopting a strategy of combining virtual junction temperature feedback and power feedforward for control logic; and a target driving current is directly solved based on a thermodynamic reverse physical model, and a semiconductor chilling plate or a heating film is driven to work. According to the method, physical conduction lag is compensated through estimation of the observer, and the dynamic response speed and the steady-state control precision aiming at the load step are remarkably improved in cooperation with thermal resistance parameter self-adaptive calibration.

The invention discloses an adjustable spray pipe suitable for a high-frequency time-varying flow field of a rotary detonation combined engine, and relates to the field of combined power engines. The spray pipe is composed of a spray pipe inner cone, a spray pipe outer cover, a spray pipe inner cylinder composed of a movable piece and a fixed piece, and an electric push rod. The structure is characterized in that an outer culvert flow channel is designed according to an outlet flow field of the rotary detonation engine and is matched with an annular rotary detonation engine combustion chamber, and high thrust is ensured. The spray pipe inner barrel movable piece serves as a movable plug cone of the plug type spray pipe and slides on the spray pipe inner barrel fixed piece through traction of the electric push rod, and the throat area of the outer culvert and the throat area of the inner culvert are adjusted. According to the design, the engine is allowed to use the inner culvert flow channel to exhaust in a low-altitude low-Mach-number turbine mode and use the outer culvert flow channel to exhaust in a high-altitude high-Mach-number rotating detonation stamping mode. By adjusting the elongation of the electric push rod, the pressure change of the working environment of the engine is matched, the work of the spray pipe is optimized, and the heat-work conversion efficiency of the rotary detonation stamping combined engine in a wide speed domain range is improved.

The invention relates to an efficient internal thread mold matching method, which belongs to the field of mold manufacturing and production management, and comprises the following steps of: establishing a database containing mold geometric dimension parameters for a tool mold; constructing a dimension parameter database according to an internal thread product manufacturing process; establishing a database containing product specification parameters, technical requirement tolerance ranges and technical requirement numbers for internal thread product specifications; establishing an inventory database containing mold storage positions and inventory quantity for the tool molds; a database is integrated through linking, and a mold matching and quick matching MES system program is formed; inputting a corresponding product technical requirement number, and retrieving and matching a corresponding tool mold and a storage location number by a system; according to the storage location number provided by the system, a tool mold is selected and taken, and after selection, the mold and the product specification are subjected to double verification. The die selection time is shortened, manual operation errors are reduced, and the production efficiency and the product quality stability are improved.

This invention relates to the field of fused silica wire drawing apparatus, and more specifically, to a multi-parameter joint feedback control method and system for drawing silica wire. This invention can jointly control the drawing speed, feeding speed and laser power of silica wire based on the diameter of the silica wire and the temperature of the heating zone, thereby achieving uniform stress distribution and diameter of the silica wire, effectively ensuring the repeatability of various parameters of the drawn silica wire, and further improving the fracture strength, quality factor and torsion balance system sensitivity of the silica wire.

The application discloses a kind of Linux system platform whole machine and peripheral performance mode synchronous switching method and system, method includes: loading peripheral performance mode synchronous mechanism module, according to current CPU working mode setting initial performance mode, initialization message queue, initialize peripheral list, load the platform configuration file driver of whole machine and initialize, register associated peripheral performance mode synchronous mechanism module;Load the peripheral driver of all peripherals and initialize, peripheral driver calls interface function according to demand, the peripheral with dynamic performance mode requirement is registered to peripheral list, while the performance mode of the peripheral with dynamic performance mode requirement is set to match initial performance mode;If new performance mode of whole machine is obtained by platform configuration file driver, the performance mode of peripheral in peripheral list is set to match new performance mode.The application realizes that peripheral performance mode matches the change of whole machine performance mode, and can effectively exert peripheral performance or more energy saving and environmental protection.

The application discloses a kind of active implantable medical device in-vivo radio frequency response modeling method based on equivalent lumped element model, by constructing and matching the electromagnetic characteristics of the actual conductive path of AIMD and surrounding tissue, equivalent lumped element model (LEM), the key factors such as the multiscale electrical characteristics of the geometry size of implantable medical device and its in homogeneous, non-uniform even real anatomic tissue environment are parameterized characterization, so as to quickly and accurately reconstruct the radio frequency transfer function of implant.The method of the application effectively breaks through the bottleneck of the existing Tier 3 evaluation method, meets the technical requirements of the latest standard based on Tier 4 evaluation method for modeling the radio frequency transfer function of implant in the environment closely related to clinical tissue, and provides a new technical path and implementation means for efficient and accurate evaluation of the radio frequency heating risk of implantable medical device in the magnetic resonance environment.