65 results about "Response area" patented technology

The invention belongs to the technical field of digital twinning, and discloses a hydraulic engineering-oriented digital twinning model dynamic construction and risk assessment method, which comprises the steps of dividing a hydraulic engineering into a static basic component area and a dynamic response area, accessing historical hydraulic engineering data, combining BIM and a finite element analysis technology, and carrying out dynamic construction and risk assessment on a digital twinning model. Constructing a structure model of the static basic component area and an agent model of the dynamic response area; combining the structured model with the proxy model to obtain the hydraulic digital twin; state data in the water conservancy digital twinborn body operation process are collected, and a twinborn state sequence is generated; constructing a water conservancy semantic map, and carrying out semantic binding on the water conservancy digital twin, the real-time water conservancy data and the control logic; dynamically updating a twinning state sequence when the node state of the water conservancy semantic map changes by adopting an event-driven strategy; and the response time efficiency and the emergency regulation and control capability of the water conservancy project are further improved.

The invention relates to the technical field of product life cycle management, in particular to an intelligent monitoring system and method for Liupu tea production, and the system comprises a disturbance sensing module, a layered structure module, an anomaly recognition module, a trend tracking module and a closed-loop linkage module. According to the method, airflow disturbance is introduced in a fermentation process stage, a direction hedging relationship is identified based on a temperature and humidity response difference value of nodes before and after the disturbance, an interference activation position is screened through a region hedging trend, three structural regions are divided by combining thickness, density and boundary response data, and a response lag region is identified to realize local focus point positioning. A structural reverse conduction area is screened out according to the direction change relation of collection nodes, an abnormal response area is recognized to achieve sudden change positioning, whether a spatial response mode changes suddenly or not is recognized through difference comparison between a disturbance result and a first response feature, and the perspectiveness and pertinence of abnormal response detection and the effectiveness of intervention effect evaluation are improved.

The invention relates to the technical field of circular screen equipment interaction, and discloses a circular screen audio playing interface optimization method and system, a storage medium and equipment, and the method comprises the steps: obtaining physical parameters of a circular screen, and building a polar coordinate system with the center of the screen as an original point; dividing a screen display area into a plurality of functional areas according to radial distances; based on the polar coordinate system and the partitioning result, carrying out adaptive layout on a plurality of elements of an audio playing interface; a touch response area of the interaction element is expanded, and multiple interaction gestures including a rotation gesture are recognized and responded; dynamic visual feedback is triggered in the user interaction process, and according to the method, the adaptation problem of a traditional rectangular UI on the circular screen device is comprehensively solved through the technical means of establishing a special coordinate system for the circular screen, optimizing the interface element layout, fusing multi-modal interaction gestures, enriching the visual animation effect, achieving dynamic self-adaptive optimization of the interface and the like.

The invention discloses a cascade operation state real-time monitoring and anti-collision risk intelligent early warning method and system, and the method comprises the steps: obtaining multi-sensor data, determining a key monitoring node, and extracting parameter changes to form an operation state trend sample; carrying out edge calculation processing on the trend sample, reversely analyzing and reconstructing component state parameters from the vibration spectrum signal, generating a step gap change curve, matching with a standard model to obtain a risk characteristic probability value, and generating a state traction chain according to the risk characteristic probability value; obtaining a displacement distribution coefficient and a vibration speed index from the state drag chain, predicting the collision probability distribution of the displacement distribution coefficient through cloud deep learning, determining an early warning level in combination with the vibration speed index, and generating early warning optimization configuration; emergency distribution is determined through linkage control analysis, differentiated response areas are identified, and linkage optimization factors are extracted from the differentiated response areas; finally, differential control parameters are generated and matched with the state traction chain to generate an early warning signal, and intelligent abnormal recognition and self-adaptive early warning of the step equipment are achieved.

The embodiment of the invention provides an interaction method and device in a game, electronic equipment and a storage medium. A graphical user interface is provided through terminal equipment, and the method comprises the following steps: detecting an interactive event in a game scene, and determining a current touch position of a target interactive operation in the graphical user interface; generating a trigger response area according to the current touch position; and in response to a touch operation in the trigger response area, triggering an interaction operation corresponding to the interactive event. According to the technical means of dynamically generating the trigger response area, the user can directly trigger the interactive operation corresponding to the interactive event near the touch position without moving a finger to a fixed interactive button position on the screen, so that the large movement of the finger of the user on the screen is reduced, the problem of incoherent operation is avoided, and the user experience is improved. Meanwhile, the misoperation rate of the mobile terminal is reduced, and the response efficiency of game interaction is improved.

The invention provides a wheel center force extraction method, system and device for whole vehicle road noise simulation, and the method comprises the steps: building a vibration transmission relation between a wheel center excitation point and a steering knuckle response region based on a whole vehicle NVH finite element model, and determining frequency domain transmission data; collecting dynamic response signals of a plurality of steering knuckle response areas and road noise synchronization signals of a preset reference position in a time-sharing manner when the vehicle runs on an actual road surface, and performing phase alignment on frequency domain responses in different time periods according to the road noise synchronization signals to obtain a target frequency domain response matrix; determining a frequency domain excitation vector of the wheel center excitation point according to the frequency domain transmission data and the target frequency domain response matrix; and combining the frequency domain transmission data to reconstruct a theoretical response of a steering knuckle response region, and generating a target wheel center force. According to the method, the wheel center force suitable for high-frequency-band whole vehicle road noise simulation can be rapidly and accurately extracted with low cost on the premise of not depending on a high-cost sensor and a special test bench, so that optimization design of NVH (Noise Vibration and Harshness) performance of a new energy vehicle is supported.

The invention discloses an underwater image enhancement method and system based on three-input multi-scale fusion. The method comprises the following steps: carrying out visibility recovery on an image to be processed; performing contrast enhancement through a nonlinear mapping function; carrying out enhancement processing on the contour of the high response area; respectively calculating a Laplacian contrast weight map, a saliency weight map and a saturation weight map of the three processed images; linearly combining all types of weight maps to obtain an aggregation weight map, and normalizing the aggregation weight to obtain a normalized weight map; decomposing the three processed images into a Laplacian pyramid, decomposing the normalized weight map into a Gaussian pyramid, and performing fusion through upward sampling and addition reconstruction; carrying out smoothing processing and edge-preserving sharpening processing on the fused image to obtain an image after underwater image enhancement and restoration; according to the method, the color cast problem of the underwater image is solved, the image contrast is effectively improved, and the texture details of the image are improved.

The invention discloses an intelligent simulation analysis method and system for standing wave characteristics and safety performance of an automobile tire, and relates to the technical field of intelligent simulation analysis and automobile safety. The intelligent simulation analysis method and system for the standing wave characteristic and the safety performance of the automobile tire comprises the following steps that S1, multi-dimensional simulation driving data are obtained and preprocessed; s2, reconstructing a tire structure response based on the preprocessed multi-dimensional simulation driving data, and measuring the intense degree of the structure response; s3, simulating tire temperature change in combination with a temperature rise simulation process, and judging whether temperature rise abnormity exists in the local area or not; and S4, carrying out space overlapping comparison on the structure response abnormity and temperature rise abnormity areas, and identifying a space overlapping state. The problems that a tire local high-temperature area and a standing wave high-response area are overlapped to cause structural instability easily, recognition is difficult to achieve in advance in the prior art, the monitoring mode is based on the overall trend, and a recognition and early warning mechanism for the local overlapping situation is lacked, so that the tire burst risk is difficult to perceive in time are solved.

The invention relates to the technical field of magnetic stimulation therapy, in particular to a magnetic convulsion therapy coulometric titration method and system based on individualized epilepsy prediction.Based on epilepsy prediction, intervention time periods are divided, electroencephalogram is collected to extract the phase change trend, and magnetic stimulation applying modes consistent in space direction are matched and screened; stimulation is executed, nerve electrical activity evolution is monitored, nerve response area distribution is concluded, a time period sequence, a response area form and an application trend are synthesized, a stimulation energy configuration range is divided and limited, and a magnetic convulsion treatment electricity titration result is formed. According to the method, epilepsy risks are described in a staged mode, time sequence correlation is established, intervention is endowed with dynamic distinguishing capacity, the stimulation direction is restrained according to phase propagation characteristics, the stimulation path is kept consistent with the dominant direction of neural activity, the energy range is limited in combination with neural response distribution, energy and state mapping is established, and the intervention matching degree and regulation controllability are improved; the invalid stimulation probability is reduced, and the treatment adaptation capability is enhanced.

The invention relates to the technical field of civil engineering monitoring and evaluation, and provides a comprehensive pipe gallery underground diaphragm wall external soil pressure data evaluation method and system, and the method comprises the steps: analyzing and recognizing a specific mechanical response region of a comprehensive pipe gallery underground diaphragm wall; aiming at a specific mechanical response area, establishing a mechanical correction rule; acquiring monitoring data of a soil pressure sensor, and calculating an initial soil pressure predicted value of a measuring point position corresponding to the monitoring data according to a classic soil pressure theory; according to the position of the measuring point, whether the measuring point is located in a specific mechanical response area or not is judged, the initial soil pressure predicted value is adjusted based on a mechanical correction rule, and a corrected soil pressure predicted value is obtained; and comparing the monitoring data with the corrected soil pressure predicted value to obtain a numerical comparison result, and judging whether the monitoring data is abnormal or not according to the numerical comparison result. The method has the effect of improving the safety of long-term operation of the comprehensive pipe gallery.

The invention relates to the technical field of disaster emergency management, and discloses a disaster emergency management method based on LSTM time sequence analysis. The method comprises the following steps: acquiring natural disaster situation data which is reported by a management node where a disaster situation is located and contains multi-dimensional time sequence characteristics; according to the multi-dimensional time sequence characteristics and a preset disaster situation type knowledge base, determining a target disaster situation type matched with the multi-dimensional time sequence characteristics; calling historical disaster situation data corresponding to the target disaster situation type, and performing time sequence analysis on the historical disaster situation data through an LSTM model to generate a disaster situation characteristic evolution sequence; and dividing a disaster response priority region and a secondary response region based on the disaster feature evolution sequence and the emergency measure database. According to the method, the disaster situation type can be accurately determined, the disaster situation evolution trend can be accurately analyzed, the response area can be scientifically divided, the emergency resource distribution can be optimized, the disaster situation emergency management efficiency can be improved, and the method is suitable for emergency management work of various natural disaster situations.

The invention provides an artificial intelligence confrontation technology military training simulation system based on reinforcement learning, and belongs to the field of training simulation. The problem of poor confrontation simulation training effect is solved; the scene simulation module is used for constructing a differential equation set and setting a response area of a target or a response interval of a laser module; the training simulation module is used for acquiring the positions of trainees, counting, recording and analyzing the shooting interval and the effective score of each trainee in combination with a differential equation set and the response area of the target or the response interval of the laser module, and adjusting a training strategy; the score feedback module is used for recording and feeding back effective scores of the trainees; the target refreshing interval and position are adjusted by analyzing the score and shooting angle of the trainee, and the target moving route is distributed according to the position of the trainee, so that the model effect of confrontation training is improved.

The utility model belongs to the technical field of touch sensing, and discloses a distance touch sensing device and a household appliance, which comprise a touch panel, a sensing probe and a sensing identification module, the touch panel is provided with a plurality of touch sensing areas, the touch sensing areas are used for receiving external touch input operation, at least one touch sensing area corresponds to a sensing probe, and the touch sensing areas correspond to at least one sensing probe; one end of each sensing probe is connected with the circuit board, the other end of each sensing probe extends in the direction far away from the circuit board and close to the touch panel and is connected with the touch panel in the corresponding touch sensing area by taking air as a conducting medium, and the sensing probes are used for sensing touch input operation and generating corresponding sensing signals; the induction recognition module is arranged on the circuit board, the induction probe is connected with the induction recognition module through the circuit board, and the induction recognition module is used for receiving the induction signal and determining touch input operation according to the induction signal. The utility model aims to improve the accuracy of touch sensing.

The invention discloses a visual segmentation large model data automatic annotation method combined with image prompt, which comprises the following steps: extracting deep features of a prompt image and a to-be-annotated image by adopting a shared visual coding technology of deep learning, and carrying out cross-image feature matching and similarity calculation. And positioning a high-response area which is consistent with a prompt target in semantics in the to-be-labeled image, and automatically screening out an accurate prompt point set from the high-response area. Furthermore, based on the point set, the visual segmentation large model is guided to complete accurate segmentation and mask generation of the target, so that full-process automation from image prompting to final labeling is realized, and labeling efficiency and consistency are remarkably improved. In this way, the bottleneck problems that in the prior art, an automatic labeling method is insufficient in universality and the application of a segmentation large model must depend on human interaction are solved, and an effective technical approach is provided for large-scale, low-cost and high-quality visual segmentation data production.

The invention provides a parallel reaction state monitoring method and system, and relates to the technical field of parallel reaction monitoring. The method comprises the following steps: acquiring image data of each reaction unit in the parallel reaction device, and identifying a reaction area of each reaction unit from the image data; extracting visual features from the reaction area of each reaction unit; acquiring a preset priority parameter and a preset rule, wherein the preset rule comprises a trigger condition and a corresponding acquisition frequency adjustment behavior; evaluating the image change activeness of each reaction unit according to the change of the visual features; determining the image acquisition frequency of each reaction unit according to the image change activeness, the preset priority parameter and the preset rule; and according to the image acquisition frequency, performing image acquisition on each reaction unit to obtain image data and storing the image data. According to the invention, the overall efficiency and economical efficiency of parallel reaction monitoring are improved.

The utility model discloses an electronic information label identification device which comprises an identification card reader body, one side of the identification card reader body is provided with an identification induction area, the identification induction area protrudes out of the plane of one side of the identification card reader body, telescopic plates are elastically and slidably inserted into the two sides of the identification card reader body, one end of each telescopic plate is provided with an auxiliary card releasing plate, and the other end of each telescopic plate is provided with an auxiliary card releasing plate. According to the electronic tag identification card reader, the telescopic plates are elastically and slidably inserted into the two sides of the identification card reader body, the auxiliary card releasing plate is arranged at one end of each telescopic plate, and the auxiliary card releasing plate can be used for buffering pressure when an electronic tag card is attached to one side of an identification induction area for identification; the identification sensing area is prevented from being damaged due to hard collision of the electronic tag card, and the safety of identification and use is improved.

The invention provides a frequency jittering clock signal generation method and device, and relates to the technical field of electronics. The method comprises the following steps: acquiring target jitter frequency parameters including a jitter frequency center frequency, a jitter frequency mode and a jitter frequency width; a modulation signal and a source clock signal are determined according to the target jitter frequency parameter, the amplitude of the modulation signal changes along with time, and the amplitude change range of the modulation signal is configured to enable the first-order sigma-delta modulator to work in an unsaturated linear response area; inputting the modulation signal to a first-order sigma-delta modulator, and under the driving of the source clock signal, performing pulse density modulation on the modulation signal by the first-order sigma-delta modulator and outputting a unit pulse density modulation code stream; and carrying out edge detection on the unit pulse density modulation code stream to generate a jittering frequency clock signal. According to the technical scheme, a complex phase-locked loop circuit is replaced by a scheme which is extremely simple in structure and is completely realized by digital logic, and the problem of balancing the integration level, the cost and the signal purity is synchronously solved.

This application discloses an ad removal method, apparatus, device, and storage medium, comprising: displaying a first interface, the first interface including a target view, the target view being an ad view excluding a first removal control or a view displaying the first removal control, the first removal control being associated with the ad view and used to remove the ad view; performing anti-harassment processing on the target view to obtain a second interface, the second interface including a second removal control, wherein when the first interface includes the first removal control, the response area of ​​the second removal control is larger than the response area of ​​the first removal control; and closing the second interface in response to a triggering operation on the second removal control. This can improve ad removal efficiency and reduce ad interference to users.

The present application relates to product life cycle management technical field, specifically to a kind of intelligent monitoring system and method for Liubao tea production, system includes disturbance sensing module, hierarchical structure module, abnormality identification module, trend tracking module, closed-loop linkage module.In the present application, by introducing airflow disturbance in fermentation process stage and identifying directional hedging relationship based on the temperature and humidity response difference of nodes before and after disturbance, the disturbance activation position is screened by regional hedging trend, combined with thickness, density and boundary response data to divide three section structure zones, identify response lag area to realize local focus positioning, according to the direction change relationship of collection nodes, structural reverse conduction area is screened out, abnormal response area is identified to realize sudden change positioning, by comparing the difference between disturbance result and first response characteristics, whether the space response mode is mutated is identified, the proactivity of abnormal reaction detection, the pertinence and the effectiveness of intervention effect evaluation are improved.

The invention provides a test paper automatic detection method, electronic equipment and a storage medium, and belongs to the technical field of test paper instant detection. The detection method comprises the following steps: acquiring a plurality of detection points and color characteristics of the detection points in a test paper reaction region; and calculating the distance between the detection point and the center of the reaction area so as to endow the detection point with a decision weight. And combining the color features of the plurality of detection points into an observation matrix, and combining the basis matrixes of the plurality of detection points based on the decision weight into a block diagonal matrix. And based on the observation matrix and the block diagonal matrix, obtaining an optimal coefficient matrix of the color features of the detection points so as to reconstruct the color features of the detection points. And respectively establishing a background model of each detection point, and verifying the consistency of each background model so as to filter the color of the test paper. And estimating the concentration of the detection point according to the color feature of the detection point, and carrying out substance identification through a discrimination function and a decision weight. And outputting the concentration and name of the substance in the reaction area. According to the method, the accuracy of a detection result can be improved.

The invention provides a supporting device and reaction equipment, the supporting device is used for supporting a working platform in the reaction equipment, and the supporting device comprises a base; the supporting platform is movably arranged on the base, the supporting platform is used for supporting the working platform, and the supporting platform is provided with a datum plane fixed relative to the working platform; the translation mechanism is arranged on the base and used for driving the supporting platform to translate on the base; the leveling mechanism is arranged on the supporting platform and used for adjusting the inclination angle of the datum plane. The supporting device can drive the working platform to translate through the translation mechanism, the inclination angle of the working platform can be adjusted through the leveling mechanism, then it can be ensured that the working platform is located in a proper reaction area in the reaction cavity, the bearing face of the working platform is located at a proper angle, and the whole working platform is located in a proper position state; process requirements are met, the workpiece reaction effect is ensured, and the purpose of process improvement is achieved.

The present application belongs to the technical field of building HVAC intelligent control, and discloses a central air conditioning intelligent identification control system and method. The method collects operation data, generates and executes a perturbation identification instruction in a stable operation state; deducts the baseline from the operation data before and after the perturbation to obtain a net temperature response, a net pressure difference response and a net energy consumption response; extracts a thermal response fingerprint according to the net response quantity, establishes an actual association matrix between the execution object and the controlled area; compares the actual association matrix with a drawing association table or an installation registration table, identifies the end mismatch, the weak response area and the abnormal coupling area; corrects the area load demand according to the identification result, generates a candidate control quantity, and performs constraint projection under the constraints of equipment safety, comfort and actual association matrix to output the final control instruction. The present application is suitable for the intelligent identification, operation regulation and control and energy saving control of the central air conditioning system.

The utility model discloses a novel lock body can pass through bluetooth and NFC and open the lock belongs to the technical field of lockset, it includes the lock body, the lock body top is provided with the lock bar, the lock body outside is provided with the response area, the lock body bottom is rotatably connected with the protection board, is seted up in the protection board and has the storage groove, the storage groove is placed with the emergency key, the utility model discloses the fusion of bluetooth, NFC two kinds of intelligent unlocking mode and emergency key mechanical unlocking mode, has met the use demand of user under different scenes, in the security aspect, the intelligent unlocking mode does not need entity key, has reduced the trouble of carrying the key, and the emergency unlocking process step is clear, and the operation of gyro wheel coded lock is simple and direct, and the rotatable connection design of protection board also makes the process of taking and placing emergency key more smooth, even under the emergency, user can also complete the operation quickly, as a whole, the lock body gives consideration to the intelligent convenient and safe and reliable, has greatly promoted the use experience of user.

The invention discloses a barrier gate sensing system and method based on a radar sensor and drive control, and relates to the technical field of barrier gate sensing, and the system comprises an authorized vehicle recognition module, a barrier gate state adjustment module, a drive control and demand opening time analysis module, a driving state analysis module, a barrier gate high-voltage period judgment module and a barrier gate warning module. A radar sensor and a camera monitor vehicles in a barrier gate response area in real time, distinguish authorized vehicles and unauthorized vehicles, adjust the state of the barrier gate according to vehicle information, control the barrier gate to be closed or opened when the barrier gate is in an openable state, update the required opening duration of the barrier gate when the barrier gate is in an open state, and judge the driving state of an observation area. And judging that the barrier gate pressure judgment period is the barrier gate high-pressure period, and prompting a manager to rectify and manage the barrier gate when the barrier gate high-pressure period continuously occurs, so that lane resources are utilized more efficiently through a preset judgment mechanism.

This invention relates to a method for optimizing the tactile feedback of a damping spring and a damping spring in the field of information technology. The method includes: analyzing the correlation between the damping force change and the coefficient of thermal expansion based on a signal feature set, marking abnormal response areas and generating an identifier set; combining a tactile feedback model and a temperature sensing threshold to analyze key point data in the abnormal response areas and determine a set of abnormal tactile points; calculating thermal tactile simulation data through temperature-mechanical coupling analysis, adjusting the tactile calibration coefficient by comparing it with user temperature-sensing interaction data, and obtaining a set of tactile optimization parameters; correcting the mechanical behavior based on the tactile optimization parameter set and environmental adaptability test data, and generating a damping spring classification list; comparing the classification list with the abnormal response area identifier set to analyze tactile consistency, determining the batch production qualified group division, and obtaining accurate classification results.

The utility model discloses a lamp touch sensing shell assembly which comprises a shell body, a mounting cavity is formed in the shell body, a control end is arranged at the upper end of the shell body, a touch sensing area is arranged on the surface of the control end, and a human body sensing end and a touch sensing end are arranged in the touch sensing area. The surface of the touch sensing area is further provided with a charging port used for installing a charging interface. The lamp controller can be arranged in the installation cavity, the arranged touch control induction area is provided with the human body induction end and the touch control induction end, the human body induction end and the touch control induction end are arranged on the touch control induction area, and therefore the lamp controller can be arranged in the installation cavity. A human body induction sensor and a touch induction sensor of the lamp controller can be installed at the positions so that human body induction and other touch control can be achieved, the charging port is further formed and used for installing a charging interface, the overall function is enriched, and the shell body is clamped into the lock groove of the installation box through the lock catch at the tail end of the fixing buckle during installation. And the installation convenience and the stability are improved.

The utility model relates to a multi-lens optical rainfall sensor assembly which is installed on the inner side of glass, the outer surface of the glass serves as a glass total reflection surface, the sensor assembly comprises a light-transmitting plate and a protective shell connected to the light-transmitting plate, an installation cavity is formed between the protective shell and the light-transmitting plate, and a receiving end lens is arranged in the center of the inner side of the light-transmitting plate. A plurality of transmitting end lenses arranged around the receiving end lens are arranged on the periphery of the receiving end lens, reflecting surfaces corresponding to the transmitting end lenses are arranged on the receiving end lens, a transmitting terminal and a receiving terminal are arranged below the light-transmitting plate, the transmitting terminal is used for transmitting infrared light to the transmitting end lenses, the infrared light is emitted to the glass after being collimated by the transmitting end lenses, and the receiving terminal is used for receiving the infrared light. And the transmitting terminal and the receiving terminal can move along the circumference so as to receive signals in each sensing area. The utility model has the following advantages and effects: the coverage rate of the sensing area can be improved, so as to improve the sensing accuracy and reduce the response time.

The invention discloses an LED display screen interaction detection method and system based on a sensor, and relates to the related field of man-machine interaction, and the method comprises the steps: collecting interaction triggering data of an LED display screen through the sensor, and the interaction triggering data comprises an interaction generation timestamp, an interaction space coordinate, an interaction intensity parameter and an interaction type parameter; after effective interaction judgment is carried out based on the interaction triggering data, display response data of the corresponding LED display screen are collected through a sensor, and the display response data comprise display starting time, a response area brightness value, a color parameter and a driving current parameter; calculating interaction response parameters of the interaction trigger data and the display response data, and constructing an interaction response difference parameter set; lED detection evaluation is carried out according to the interaction response difference parameter set, and an interaction detection result is generated. According to the invention, the technical problem of poor abnormity judgment reliability in the existing LED display screen interactive detection is solved, and the technical effects of improving the abnormity recognition accuracy and the detection result reliability are achieved.

The invention discloses a target detection method in a robot-assisted laparoscopic colon cancer surgery, relates to the technical field of target detection, and aims at improving a YOLOv13 model in an application scene of the robot-assisted laparoscopic colon cancer surgery. The distinguishing capability of the model on fine-grained features such as lymph node edges and tumor textures is enhanced, and the problem of confusion of tiny targets and backgrounds is solved; average pooling preprocessing and double-branch differentiation downsampling are adopted, small target details and large target high response areas are reserved at the same time in the downsampling process, high-quality feature input is provided for subsequent BiFPN, and the problem of small target feature loss is solved; through bidirectional feature interaction, CARAFE up-sampling and P3-B3 same-layer jump connection, the weight of low-resolution low-layer features is enhanced, the problem of multi-scale target detection imbalance is solved, and especially the detection precision of tiny lymph nodes is improved.

The application provides a fetal education system optimization method and system based on fetal neural development key area recognition, and aims at the problems of low penetration efficiency and poor targeting of traditional fetal education sound waves. Through constructing a fetal development response topology graph, the acoustic intervention neural development utility function is orthogonally decomposed into a coordination component and a competition component, and the strong response areas of the language center, the auditory cortex and the articulatory organ are accurately positioned. Combined with a dynamic parameterization model, a multi-modal collaborative intervention scheme is designed.