137 results about "Response sensitivity" patented technology

The invention relates to the related technical field of high-voltage switch cabinets, in particular to a high-voltage switch cabinet health state assessment method and system, and the method comprises the steps: obtaining an equipment operation parameter sequence of a high-voltage switch cabinet, combining an operation mechanism, determining a first response data segment and a second response data segment, and constructing a state assessment matrix, and identifying an abnormal operation period and a degradation trend cluster, and performing health risk early warning on the high-voltage switch cabinet by using the health state evaluation model. The technical problems that the sensing precision of key events such as switching-on bounce and partial discharge is insufficient, the generalization ability of health state evaluation under complex working conditions is insufficient, and the accuracy of high-voltage switch cabinet health evaluation is limited are solved, and cross correlation and variation correlation of a signal simulation verification chain are taken as an enhancement mechanism, so that the accuracy of high-voltage switch cabinet health evaluation is improved. The method has the technical effects that the response sensitivity of the model to key events is improved, the health risk of the high-voltage switch cabinet is accurately evaluated in combination with an abnormal period and a degraded cluster, and the accuracy of health evaluation of the high-voltage switch cabinet is improved.

The invention provides an intelligent optical cable performance prediction method and system for a data center, and relates to the technical field of data center performance analys.The intelligent optical cable performance prediction method comprises the steps that firstly, an optical cable microstructure disturbance quantization model is constructed, and an optical cable is divided into a plurality of virtual quantization units in the longitudinal direction; each unit packages a real-time stress-strain state parameter and a response sensitivity coefficient of the basic structure unit, inputting a Brillouin scattering spectrum frequency shift data flow collected in real time into the model for disturbance source analysis, generating a physical excitation decomposition sequence, driving a virtual quantization unit to perform state evolution iterative operation according to the physical excitation decomposition sequence, and obtaining a Brillouin scattering spectrum frequency shift data flow model; a stress-strain state evolution track set is obtained, a time-space correlation network of optical cable link disturbance propagation is constructed according to the stress-strain state evolution track set, network flow characteristic analysis is conducted on the time-space correlation network, an early warning node set is extracted, the future evolution trend of the early warning node set is calculated, and serialized optical cable performance abnormity early warning information is generated. The optical cable performance abnormity can be predicted in advance, and stable operation of the data center optical cable is guaranteed.

The invention belongs to the technical field of data processing, and particularly relates to a wind disc fault monitoring method and system, and the method comprises the steps: collecting wind disc operation data and environment parameters in real time, constructing an environment response sensitivity tensor, calculating and eliminating environment-induced supply and return water temperature difference deviation, and obtaining a de-environmental operation feature vector. And in combination with the static hydraulic topology and the dynamic behavior difference, generating a dynamic weight between the wind discs, constructing a self-evolution covariance matrix, and realizing dynamic optimization calculation of the Mahalanobis distance. And fault type discrimination is carried out based on the spatial topological relation of the abnormal wind disc, monomer blockage and system-level blockage are accurately distinguished, and intelligent early warning is realized. The method can effectively inhibit the environment disturbance false alarm, and improves the fault positioning accuracy.

The invention relates to the technical field of semiconductor material photoelectric detection, and discloses a whole-course calibration method of a microwave photoconductive attenuation tester, which comprises the following steps: steady-state optical calibration: establishing reference mapping from light intensity to absolute carrier concentration; performing sweep frequency perturbation measurement at each concentration working point to obtain multiple groups of complex response data; separating an instrument transfer function from sample differential response sensitivity by adopting a system identification algorithm; an integral differential sensitivity reconstruction curve is converted into an absolute calibration model by using an anchor point; starting closed-loop feedback control to lock a specific phase, and verifying the model; and outputting an absolute calibration model and an instrument transfer function as a static reference and a dynamic operator. According to the invention, the absolute concentration anchor point is established through steady-state optical calibration, integral reconstruction is carried out on the differential response sensitivity decoupled by dynamic frequency sweep measurement, and finally, the anchor point is utilized to determine the integral constant, so that the accuracy and reliability of carrier concentration quantitative analysis are improved.

The invention relates to the technical field of disaster early warning, in particular to a soft soil area foundation pit inrush disaster early warning soft soil area foundation pit inrush monitoring and early warning system and method, and the system comprises an osmotic pressure fluctuation monitoring module, a deformation trend extraction module, an inrush disaster identification module, a threshold dynamic correction module and a disaster early warning output module. According to the method, the pore water pressure sequence and the free water surface height sequence are vertically grouped according to the depth of the measuring points, and the standard deviation of the water head difference values is calculated, so that the local water pressure disturbance abnormal region can be effectively identified, and the difference value fitting analysis of multi-source monitoring sequences such as horizontal displacement, structural strain and deformation curvature is combined; asynchronous response characteristics between a soil body and a support structure deformation rate are accurately extracted, a normalized disaster-inducing factor matrix is constructed based on multiple mechanical indexes, and the early warning level is determined through the combination of continuous duration and multi-factor overrun, so that the timeliness and classification accuracy of inrush disaster identification are improved, and the early warning efficiency is improved. And the response sensitivity and the field adaptability of the early warning system are enhanced.

An electronic device includes a casing, a first sound-emitting device and a second sound-emitting device. The first sound-emitting device includes a basket, a vibration system and a magnetic circuit system. The vibration system includes a diaphragm and a voice coil. The magnetic circuit system includes a magnetic bowl, a magnetic unit and an auxiliary magnetic. The first sound-emitting device further includes an upper shell and a front cavity. The first sound-emitting device further includes a first elastic damping member. The diaphragm, the magnetic bowl, the basket and the first elastic damping member are sealed and enclosed to form a first rear cavity, and the first sound-emitting device, the second sound-emitting device and the casing are enclosed to form a second rear cavity. The sound-emitting device of the present invention with good vibration damping effect, high frequency response sensitivity and better acoustic performance.

The invention relates to the technical field of flexible sensing, in particular to a multi-stage pressure sensor for unconstrained monitoring and a preparation method thereof.The multi-stage pressure sensor comprises a flexible substrate, the flexible substrate comprises an upper-layer fabric and a lower-layer fabric which are arranged in a spaced mode, and the upper-layer fabric and the lower-layer fabric are connected through connecting wires; the static supporting unit comprises a plurality of supporting columns which are arranged in an array mode and fixed to the flexible substrate, and the height of the supporting columns is configured to be larger than the thickness of the flexible substrate; the flexible sensing unit is adjacently arranged on the periphery of the static supporting unit and comprises a conductive wire arranged on a flexible substrate, and the conductive wire and a connecting wire form a triboelectric sensing unit; the rigidity of the static supporting unit is larger than that of the flexible sensing unit. The purpose of the present invention is to improve response sensitivity to weak dynamic signals.

The invention discloses an intelligent fatigue prediction method and system based on recreation facilities, and belongs to the technical field of intelligent operation and maintaining.The method comprises the steps that stress-strain data, environmental parameters and acoustic emission signals of a target recreation facility in multiple operation modes are collected, and an original multi-source data set is constructed; identifying microcrack initiation time nodes and fatigue early-stage features thereof based on change point detection and spectral analysis; a fatigue response sensitivity matrix is generated by constructing a microscopic response model fused with environmental factors; predicting a microcrack propagation path by using a time recursion model, identifying a fatigue risk point, and automatically generating a maintenance suggestion; if a frequency domain abnormal signal is found, carrying out residual life reevaluation and dynamically optimizing model parameters; according to the method, early fatigue recognition, trend prediction and adaptive optimization can be realized, and the safety and maintenance efficiency of recreation facilities are improved.

The invention relates to the technical field of agricultural machinery load control, in particular to a corn harvester operation load control system and method, and the system comprises a power extraction module, a speed regulation and control module, a trend analysis module, a parameter optimization module and a load closed-loop module. According to the method, frequency characteristics are extracted in a periodic and segmented mode through header power signals, load dynamic sensing is carried out, advancing speed adjustment is more real-time and prospective, response sensitivity and stability are improved in combination with PID control, equipment stably operates at multiple crop densities and plots, the torque increment of a main shaft is monitored in real time, and wavelet transformation multi-scale analysis is carried out; load fluctuation fine-grained identification is carried out, a roller gap and power output are dynamically adjusted to optimize parameters with a minimum mean square error, frequency and torque characteristic closed-loop comparison is constructed, control self-matching and continuous self-adjustment are carried out, error minimization and trend tracking feedback are fused, the intelligence of the harvester is enhanced, and load sudden change performance fluctuation and energy consumption loss are reduced.

The invention provides an electric energy meter operation error on-line monitoring and early warning method and platform, and relates to the technical field of electric energy meter monitoring, and the method comprises the steps: applying at least two different forms of metering equivalent perturbation in the metering calculation process of an electric energy meter, building a plurality of groups of corresponding perturbation metering response results, carrying out the alignment analysis, and carrying out the early warning of the operation error of the electric energy meter. Extracting relative offset characteristics, response consistency characteristics and response sensitivity characteristics among metering results under each perturbation condition, constructing error response fingerprints, inputting the error response fingerprints into an error recognizable degree calculation model, constructing a metering error recognizable degree index, performing time sequence tracking on the metering error recognizable degree index, and calculating the metering error recognizable degree according to the time sequence tracking result. And executing metering misalignment risk state identification by using a time sequence tracking result, and outputting an online early warning signal. The technical problem that in the prior art, operation errors cannot be timely and accurately recognized and early warned in the operation process of an electric energy meter is solved. The technical effects of real-time monitoring, accurate identification and on-line early warning of the metering error of the electric energy meter are achieved.

The invention discloses a self-adaptive vacuum filling and sealing device and method, and mainly solves the problems that the existing vacuum filling and sealing technology is difficult to realize accurate adaptation and optimal adjustment of multiple types of filling and sealing adhesives, and the filling and sealing consistency and the product reliability under complex working conditions are influenced. Comprising a vacuum box, a vacuum pump, a vacuum pressure digital display meter, a control panel and an air inlet valve, wherein a liquid flow meter is arranged at a glue injection and pouring outlet in the vacuum box, and instantaneous flow data of pouring sealant is detected and fed back in real time; a refrigerating device is arranged on the side wall to inhibit local temperature rise of the two-component pouring sealant caused by heat release of a chemical reaction; a heating device is arranged at the upper part to compensate the adverse effect of environment temperature reduction on the fluidity of the pouring sealant; and meanwhile, a fusion algorithm for self-adaptive adjustment of multiple types of pouring sealants is deployed in the microprocessor, so that self-adaptive temperature balance and regulation in the pouring process are realized. According to the invention, the automation degree and the response sensitivity of the potting process can be obviously improved, and the stability and the reliability of the potting process are improved.

The invention relates to the technical field of automatic control, in particular to a pipeline blockage risk identification and early warning method for multiple water chilling units of a central air conditioner, which comprises the following steps: collecting a cold water pressure difference signal, processing temperature difference data, extracting offset characteristics, analyzing a temperature track, identifying sudden change and matching flow response, and judging response abnormity. According to the method, the blockage head is identified through the differential pressure change rate jump, the response sensitivity is enhanced, the temperature difference continuous offset and the differential pressure event are combined, the identification accuracy and time efficiency are improved, the temperature sudden change and the flow response rhythm are superposed, a physical chain verification mechanism is constructed, and the high-frequency abnormal pipe section is identified. The reliability of analysis logic is enhanced, response interval and adjustment period consistency analysis is introduced, the adaptive capacity under complex working conditions is improved, pipe sections are collected according to abnormal frequencies, a multi-feature structured result is output, the data support of maintenance decision is enhanced, and the perspectiveness of blockage recognition is improved through multi-source feature fusion and time sequence rule judgment.

The invention relates to the technical field of display equipment, and discloses a cruise broadcasting method and system for mobile transparent display equipment, and the method comprises the steps: calculating the response sensitivity of a plurality of environment contact points in an exhibition hall through a sensor group carried by a plurality of mobile transparent display equipment; creating a target cruise path of the plurality of mobile transparent display devices based on the response sensitivity; constructing a cooperative scheduling relationship of each mobile transparent display device on the target cruise path; and generating a cooperative broadcasting scheme based on the cooperative scheduling relationship and adjusting the broadcasting volume, the display brightness and the moving speed according to the real-time environment data, so that the cruise path can be dynamically adjusted according to the real-time environment condition, the limitation of a traditional fixed path mode is avoided, the flexibility and the adaptability of path planning are improved, and the path planning efficiency is improved. And thus, the broadcasting effect is optimally matched with the environmental condition.

This invention discloses a method for fabricating a highly sensitive long-wavelength infrared superconducting single-photon detector. It fully utilizes and amplifies the acoustic mismatch effect between the superconducting thin film and the substrate to achieve phonon localization enhancement on the superconducting nanowires. The effect of this innovative design is to increase the energy utilization rate of long-wavelength infrared photons on the superconducting nanowires, thereby improving the response sensitivity of the superconducting nanowires to long-wavelength infrared photon signals. Compared to existing designs that reduce the cross-sectional size of the superconducting nanowires, create holes beneath the nanowires, or increase the buffer layer, this invention is easier to implement and has higher scalability.

The invention discloses an intelligent analysis method and system for operation data of an electric power communication network, and relates to the technical field of data management.The method comprises the steps that firstly, time-frequency feature extraction and resonance cumulative effect judgment are conducted on optical cable link node signals of a voltage class area, so that an area possibly causing abnormal oscillation can be accurately locked; a target range is provided for subsequent modeling; secondly, a deviation factor is extracted on the basis of disturbance propagation dynamic response between simulation nodes, dynamic physical model parameters of the power communication network are corrected in real time, and the model is made to be closer to the actual operation state; and finally, fusing the corrected physical model with a machine learning model, and realizing active suppression and pre-adjustment dynamic state according to the disturbance response sensitivity and resonance triggering probability of the node, thereby optimizing the operation stability and anti-interference performance of the power communication network. Not only is the intelligent processing capability of the operation data of the power communication network improved, but also the precision and response speed of the system in the aspects of resonance risk early warning and oscillation source positioning are remarkably enhanced.

The invention relates to the technical field of subway construction period emergency resource management, and particularly discloses a subway construction period emergency resource management and allocation method and system, and the method comprises the steps: building a line map of an existing subway line, carrying out the statistics of the resource types, number and coordinates of an emergency resource warehouse, building a resource map, setting the accident grade according to the accident type, and carrying out the emergency resource allocation. And determining the required resources under each grade, determining the required resources according to the accident type and grade when an emergency occurs, formulating an allocation scheme in combination with a resource map, and notifying management personnel of the emergency and the allocation scheme to realize rapid allocation of the resources. According to the invention, through presetting the emergency resource list and combining the real-time project progress, accurate matching is realized, emergency information is periodically updated to ensure accurate time efficiency, visual management is realized through a map, automatic monitoring and early warning linkage are realized to improve response sensitivity, so that emergency commanding and dispatching are more convenient, and emergency response efficiency is effectively improved.

The utility model discloses a protection device for avoiding motor damage caused by locked rotor, which comprises a proximity sensor, a detection control unit and a motor start-stop unit, the proximity sensor is arranged on the outer side of a motor and picks up sensing signals of the end portion of a rod body when the rod body rotates, and the rod body is sleeved on the end portion of a motor rotating shaft through a center hole of the rod body. The detection control unit receives sensing signals of the proximity sensor, obtains the number of times that the end of the rod body passes in unit time, accordingly obtains the rotating speed of the motor, judges whether the motor is locked or not according to the rotating speed, and accordingly sends out control signals to control the motor to operate or stop. The protection device for preventing the motor from being damaged due to locked-rotor effectively solves the problem that the response sensitivity of the locked-rotor protection of the motor is slow in the prior art, improves the reliability of the motor protection, guarantees the safety production, improves the production benefit, and reduces the production cost.

The invention discloses a notebook computer fault trend prediction system based on time sequence modeling, and the system comprises a period marking module which is used for constructing a life cycle feature data set, carrying out the clustering operation through an improved HDBSCAN algorithm, and constructing a life cycle state tag; the trend prediction module is used for outputting a standard trend prediction result through the improved DRN model; the state control module is used for executing state change frequency analysis and generating a state smoothing factor; the burst identification module is used for constructing a sudden change signal channel and outputting a burst trend prediction result; and the trend correction module is used for constructing an abnormal memory cache region, generating an abnormal early warning bias vector and outputting a corrected trend prediction result. According to the method, the fine-grained identification capability of trend prediction and the response sensitivity of abnormal change are effectively improved, and continuous, stable and accurate modeling and prediction of the potential fault trend in the full life cycle of the notebook computer are realized.

The present application relates to the technical field of image state recognition, in particular to a kind of based on pattern recognition's picking and replacing hook AI accurate identification and capture system and method, in the present application, the outline change of hook assembly in image sequence frame, boundary difference and gray dynamic are carried out node construction, and combined with edge displacement accumulation analysis, while through graph neural network, cosine value between nodes and coordinate difference are compared jointly, construct path jump sequence, to enhance the response sensitivity of state mutation, under the condition of complex background interference or local occlusion, still can stably extract the key path of morphological evolution, effectively improve the anti-interference and fault tolerance of spatial path recognition, further statistical modeling is carried out on state rate mutation point by hidden Markov model, by matching standard state mode, paragraph merging and invalid segment rejection operation are carried out to abnormal point section, construct state label sequence, realize the accurate division of high confidence, multi-section continuous state.

The invention is suitable for the technical field of recommendation systems, and provides a federal dynamic multi-modal memory recommendation method, computer equipment and a computer program product, and the method comprises the steps: determining an interactive article based on an interactive operation under the condition that the interactive operation of a user is received; updating memory entries in a short-term buffer area in a local cache according to the memory entries of the interactive items; under the condition that the novelty of the interactive article is not less than a novelty threshold value, updating a memory entry in a long-term buffer area in a local cache according to the memory entry of the interactive article; selecting K candidate memory entries from the short-term buffer area and the long-term buffer area; calculating scores of candidate interaction items corresponding to the candidate memory items; and determining at least one candidate interaction item as a target recommended item based on the score. According to the method provided by the invention, the response sensitivity to the emerging interest trend of the user can be maintained while the long-term core interest structure of the user is reserved, and the accuracy and the stability of a recommendation result are improved.

The application belongs to the field of electronic information technology, and provides a stability optimization method of photoelectric information conversion assembly in harsh environment, comprising: the scheme is aimed at the stability optimization of photoelectric information conversion assembly in harsh environment, through synchronous collection of temperature, humidity, illumination and other environmental parameters and equipment current data in high temperature and high humidity environment, a multi-dimensional time sequence group is constructed; the coupling degree of each environmental parameter and current sequence is analyzed, after locking the high coupling relationship between illumination and current, it is judged whether there is delay in current response when illumination suddenly changes; if there is delay, the current response sensitivity is further analyzed, if the sensitivity deviates from the expectation, an illumination-current prediction model is constructed, the current adjustment amount is calculated in advance to realize pre-adjustment through predicting the illumination mutation amplitude; finally, the adjusted data is collected to iterate and optimize the model, and the dynamic response performance and stability of the assembly in complex environment are improved.

The application discloses a kind of based on continuous gradual change micro-nano structure's bionic antireflection light-thermal sensing material and its preparation method, method includes the following steps, provide elastic substrate layer, intermediate conductive layer and upper layer heat-sensitive layer;Wherein, elastic substrate layer is high molecular elastic polymer, intermediate conductive layer includes silicone rubber and carbon nanotube blend, upper layer heat-sensitive layer includes silicone rubber, carbon black and carbon nanotube blend;Elastic substrate layer is formed into elastic plane material using heat curing or light curing mode, on its upper surface, spray conductive layer in normal temperature environment, after drying and annealing, obtain solidified intermediate conductive layer;Subsequently, with light-thermal sensitive layer again spraying, after heating and curing, obtain upper layer heat-sensitive layer, the application is through interface bionic structure, the synergic design of conductive material and light-thermal material, effectively improve the light absorption efficiency and response sensitivity of sensing material.

The present application relates to the technical field of device control, in particular to a kind of perfume bottle nozzle assembly line automatic control system and method based on sensor.The method decomposes the original sequence of molten pool temperature into molten pool temperature oscillation sequence by filtering method, identifies oscillation event in each stable section and carries out smoothing, to extract the dynamic response mode that can represent the commonality and certainty of molten pool under certain thermal state, then compare the response characteristics between two stable sections, obtain the temperature rise response sensitivity combined with interval temperature rise amount, evaluate the qualification of welding result based on temperature rise response sensitivity.Furthermore, the degree of power attenuation is determined by analyzing the qualified welding result.The present application makes the control of laser power a self-adaptive process according to actual welding result, avoids the failure of strategy caused by unreasonable attenuation degree.

A kind of abrasive particle multi-parameter on-line monitoring device and method, belong to mechanical equipment wear monitoring technical field, including inductance monitoring module, imaging monitoring module, paramagnetic magnetophoresis separation device, collection cleaning device, system processor.Inductance monitoring module detects the magnetic field disturbance generated when abrasive particle passes, obtains the size, number and ferromagnetic property of abrasive particle, is transmitted to system processor;Imaging monitoring module is triggered according to the inductance pulse signal of inductance monitoring module by system processor, and the shape and size information of abrasive particle are obtained by imaging abrasive particle;Paramagnetic magnetophoresis separation device is used to separate paramagnetic and diamagnetic abrasive particle, and is connected with collection cleaning device.The present application can obtain the information of multiple abrasive particles simultaneously, has the advantages of anti-bubble interference, high response sensitivity, can distinguish paramagnetic and diamagnetic, can multiple information authentication, etc.;The specific occurrence site of mechanical fault and its severity, wear mechanism can be analyzed and confirmed, to ensure that equipment is safe and efficient operation.

This invention provides a carbohydrate detection system and method. The system includes a chromatographic column, a detection device, and an eluent concentration adjustment device disposed between the chromatographic column and the detection device. The chromatographic column is connected to an inlet unit, which provides sodium hydroxide eluents of different concentrations. The chromatographic column performs chromatographic separation of a sample solution based on the sodium hydroxide eluent. The eluent concentration adjustment device receives the separated sample solution from the chromatographic column, adjusts the sodium hydroxide concentration of the separated sample solution to a preset target concentration, and delivers it to the detection device. The detection device is used to determine the carbohydrates in the separated sample solution. This invention solves the problem in the prior art where the separation of carbohydrates under low-concentration eluents contradicts the response under high-concentration eluents in the detection device. It ensures reliable chromatographic separation while compensating for the concentration of the eluent after separation, improving response sensitivity and optimizing detection results.

The invention discloses a driving mode judgment method and system based on computer vision, and relates to the technical field of driving mode judgment, and the method comprises the following steps: extracting a static image frame, and dynamically adjusting the frame extraction frequency; carrying out local contrast self-adaptive adjustment on the image frame to obtain an enhanced image; extracting and fusing a brightness gradient and texture distribution based on multi-level visual feature analysis to generate a unified feature vector; inputting the unified feature vector into an intelligent discrimination model for navigation picture recognition and outputting a result with confidence; and carrying out dynamic weighted updating on the confidence of the continuous frames based on time sequence attenuation and a sliding window mechanism. Through computer vision identification and time sequence regulation and control, intelligent identification and dynamic release of the navigation picture by the vehicle-mounted terminal are realized, interruption caused by error limit is avoided, navigation continuity and driving safety are guaranteed, and identification accuracy and response sensitivity are kept in stable and sudden change scenes through an adaptive adjustment mechanism, so that the navigation effect is improved. And the intelligence and user experience of the vehicle-mounted system are improved.

The invention relates to the technical field of computers, in particular to a resource allocation method and device based on dynamic response, equipment and a medium, which are used for quantifying response sensitivity of a service object to resource quota adjustment and realizing accurate allocation of resources based on a quantification result. According to the method, the expected adoption probability of the target object under different candidate resource quotas can be determined, and the sensitivity coefficient of the target object to the resource quota change is determined according to the expected adoption probability. The sensitivity coefficient can visually measure the sensitivity degree of the expected adoption probability of the target object to the resource quota change, a unified and quantitative decision basis is provided for subsequent resource allocation strategy generation, and the accuracy of resource allocation can be improved.

The application provides a data transmission method and device, a storage medium and an electronic device. The relay unit is in communication connection with a plurality of data collection units, and receives a data forwarding request of a target data collection unit. In response to the data forwarding request, the current forwarding tendency index and the forwarding inhibition index of the target data collection unit are obtained. If the forwarding tendency index is greater than the forwarding inhibition index, the data to be forwarded in the data forwarding request is forwarded. In this way, the forwarding request of each data collection unit is dynamically evaluated by the relay unit, and whether to perform forwarding is determined based on the comparison result of the forwarding tendency index and the forwarding inhibition index, thereby avoiding the problem of multi-node concurrent uploading and network congestion caused by traditional fixed period reporting, and allowing the collected data to be reported in real time when the forwarding tendency index occupies an absolute advantage, balancing traffic peak shaving and response sensitivity, effectively alleviating network fluctuations and improving the timeliness of key data transmission.

This invention relates to the field of medical data mining technology, specifically to an automatic analysis and classification system for pulmonary function test data based on big data. First, it calculates a single-channel weighted evolution index based on the variation deviation of multi-channel data time-series curves, capturing the dynamic evolution characteristics of each dimension within a continuous observation window. Then, it combines the variation trend deviation between multiple channels to accurately assess the feature response sensitivity of each dimension in response to changes in pathological states. Finally, by comparing the differences between current data and historical lesion characteristics, it quantifies the discriminative contribution of each dimension when considering historical data for each lesion type. This allows the weighted discriminative signal intensity obtained based on feature response sensitivity and discriminative contribution to more comprehensively evaluate the sample contribution of each pulmonary function test dimension. This results in higher accuracy in training the classification model using the weighted discriminative signal intensity as sample weights, thereby improving the accuracy of pulmonary function test data classification.

The application discloses a mass flow control method, system and equipment based on modified magnetic sensing valve materials. The method is applied to a flow control valve structure composed of a cavity double-truncated cone valve body, a cylindrical valve core and the like, a magnetic material is modified by doping nano magnetic particles, optimizing a crystal structure in a direction, locking a film on a surface magnetic property and the like, a magnetic field expansion and contraction characteristic of the modified magnetic sensing sheet is used to drive cantilever beam bending and valve core sliding, a coil current is dynamically adjusted in combination with a flow detection feedback signal to regulate a valve opening degree. A corresponding control system comprises a modified magnetic sensing execution module, a valve body installation module, a magnetic field driving module and the like. The application significantly improves the magnetic permeability, response sensitivity and high-temperature stability of the magnetic sensing material, reduces magnetic hysteresis loss and temperature drift, effectively improves flow control precision and operation reliability in combination with a matched sealing structure design, and widens an applicable working condition range.