117results about How to "Avoid mismatch" patented technology

The invention relates to the field of communication, and discloses an intelligent traffic scheduling optimization method, device and equipment and a storage medium, and the method is used for 5G network intelligent traffic scheduling optimization. The method comprises the following steps: receiving a service request, analyzing the service request to obtain a 5G standard service type, an application scene and a 5G network slice identifier, then obtaining an SLA parameter corresponding to the service request and a candidate link required by service transmission, and converting the SLA parameter into an SLA preference vector; acquiring global data of the candidate link, and predicting by using the network state prediction model to obtain a predicted network state of the candidate link; the SLA preference vector is used as optimization target guidance, the predicted network state is used as a constraint condition, and a global optimization routing strategy is calculated through a multi-target optimization algorithm; and generating a control message packet based on the global optimization routing strategy, issuing the control message packet to the network forwarding equipment, and adjusting parameters of the network state prediction model and the multi-objective optimization algorithm based on the actual performance data after execution.

The invention relates to the technical field of electrical detection, in particular to a multi-stress coupling environment reliability testing method for an electricity consumption information acquisition terminal. Comprising the steps of applying a combined stress field to an electricity utilization information acquisition terminal through an environment test box; acquiring power utilization information acquisition terminal parameters; the method comprises the following steps of: capturing metering pulse response and carrier communication interaction signals of an electricity utilization information acquisition terminal under the excitation of a combined stress field by utilizing an electrical sensor, extracting carrier signal-to-noise ratio data and metering reference drift data, and generating a reference voltage compensation coefficient and an impedance matching threshold value; projecting the carrier signal-to-noise ratio data to an impedance matching threshold value, and constructing a stress failure envelope surface according to a hardware overload protection threshold value; and mapping the communication quality distortion residual vector to a stress failure envelope surface, and calculating a reliability life prediction value. According to the method, a uniform excitation environment is constructed, and performance degradation of different dimensions is uniformly quantified into accumulative stress damage integral, so that the comprehensive anti-interference capability of the terminal in a multi-stress coupling environment can be truly reflected.

The invention discloses a tunnel-pile interaction experiment method and device based on a 3D printing technology, and belongs to the technical field of civil engineering underground structure tests. The method comprises the steps that the geometric and mechanical similarity ratio is determined according to an engineering prototype, a tunnel lining model and a pile group model are prepared through the 3D printing technology, and controllable adjustment of the rigidity of the tunnel model is achieved by adjusting the type, the filling rate and the internal structure of a printing material; controllable adjustment of the rigidity of the pile foundation model is realized by adjusting the size of the magnetic field; the model is placed in a soil body groove, the shield tunnel excavation process is simulated, and deformation data of a tunnel and a pile foundation are collected through a PIV technology and a sensor. Accurate control over the rigidity of the tunnel and pile foundation model is achieved through 3D printing, the influence of shield tunnel construction on the pile group foundation can be simulated under the condition that the similarity criterion is met, and the device has the advantages of being adjustable in structure, high in experiment efficiency and the like and can be used for researching a dense urban area tunnel-pile deformation coupling mechanism and optimizing related engineering parameters.

The invention provides a real-time disaster situation multi-dimensional verification alarm method and system based on a large model, and relates to the technical field of disaster situation response, and the method comprises the steps: carrying out the backtracking and calling of multi-source disaster situation associated data after a disaster situation early warning signal is received, and obtaining a heterogeneous disaster situation data set; starting a dynamic task chain scheduling mechanism, executing multi-priority thread trend analysis, and outputting a multi-dimensional index analysis result; executing multi-dimensional index cross verification, and outputting a disaster verification conclusion; disaster decision making is carried out, and a disaster decision instruction is generated; carrying out township-level disaster situation grid positioning, and outputting a disaster boundary coordinate set; after the thermal rescue target spot is framed, geological disaster avoidance analysis is carried out, and a safety buffer area is positioned; and executing an alarm verification response. The technical problems that in the prior art, a disaster monitoring and early warning system mainly depends on a step-by-step reporting mechanism, so that disaster information transmission is lagged, accuracy is lost, and timeliness and accuracy of post-disaster rescue work are affected are solved.

This application discloses a method, device, and electronic device for displaying energy flow in a power plant, belonging to the field of new energy power plant technology. The method includes: generating an energy flow diagram corresponding to the current power plant configuration and displaying it on an interface; the energy flow diagram includes multiple visual elements, each visual element including at least source nodes and carrier nodes representing power plant equipment, and path elements representing the energy flow relationship between source nodes and carrier nodes; responding to user interaction with any node or path element, determining the energy path where the interacted node or path element is located; updating the rendering state of the energy path on the interface to make the energy path appear locally focused relative to other energy paths. This application achieves energy path-level visualization and interactive analysis based on power plant equipment topology, improving the accuracy of expressing power plant energy flow relationships and the efficiency of analyzing multi-dimensional operational data.

The application provides an intelligent inventory control management method and system based on a supply chain cooperation mechanism, applied to the technical field of supply chain management, preliminary demand prediction of a downstream partner is received, demand intention information containing customization component possibility weight and potential demand range is generated according to the prediction, after the upstream supplier receives the demand intention information, the influence of the demand intention information on future production resources is further evaluated, an evaluation result is obtained, finally, according to the evaluation result, the method performs flexible preparation in advance, including production window soft reservation, upstream material pre-communication and special mold preparation, effectively coping with the supply uncertainty of the customized components, avoiding the dilemma of standard component overstock and customized component shortage, realizing lean production and on-time delivery, and bringing significant economic benefits and competitive advantages to enterprises.

This invention discloses a semi-physical simulation platform and control system for a dispensing machine, comprising: a mechanical execution module: simulating nozzle deformation through a quantum dispensing head virtual environment to generate first physical data, and integrating a rigid-flexible coupling platform and a laser interferometer to capture high-speed trajectory pose deviations to generate second physical data; a digital hydraulic drive module: simulating fault repair dynamics using a converter pump and a quantum attenuator to generate third physical data; an edge-cloud collaboration module: constructing a twin based on an FPGA-quantum architecture to generate fourth physical data, and generating fifth physical data through transfer learning AI algorithms to optimize hydraulic pump and valve strategies; a global monitoring and diagnostic module: constructing a multi-physical quantity model through fiber optic-quantum sensors to generate seventh physical data to evaluate wide-temperature-range stability, and generating sixth physical data; and a simulation comprehensive management module: evaluating the platform's stability under wide-temperature-range and complex vibration scenarios.

The invention relates to the technical field of mobile robot navigation, and discloses a robot adaptive motion control method and system, and the system comprises a step test module which is used for recording odometer data and control quantity data with a timestamp; the parameter fitting module is used for analyzing the odometer data and the control quantity data and establishing a mapping function of the control quantity and the movement speed; the delay compensation module is used for maintaining a historical control quantity queue and predicting the expected pose of the robot when the control instruction sent at the moment t is executed based on the control delay tau; the multi-objective optimization module is used for solving the optimal control quantity; and the online updating module is used for continuously collecting motion data in the motion process of the robot and dynamically updating the mapping function and the key parameters. According to the method, actual motion parameters are automatically obtained through step testing, different robot individuals and performance attenuation scenes are adapted, the problem of model mismatching is solved, and time delay compensation is controlled to reduce positioning deviation.

This invention discloses a comprehensive management method for transparent inspection of power grid materials based on the Internet of Things (IoT), belonging to the field of power material management technology. The method includes the following steps: deploying a three-axis vector probe array at the material entry channel to collect multi-point spatiotemporal signals and calculate the field strength distribution, generating an electromagnetic disturbance spatiotemporal matrix, and outputting a radio frequency identification (RFID) tag resonance drift risk matrix. This invention models electromagnetic disturbance sources using a three-axis vector probe array, combines resonance registration fingerprinting and frequency band compensation to achieve dynamic correction of RFID frequency drift, and integrates phase-encoded backscattering and strain acoustic features to ensure identification consistency. By utilizing optical time reference synchronization and phase-programmable metasurfaces to reconstruct the near-field environment, an adaptively adjustable identification space is constructed, improving the identification stability and traceability reliability of power grid materials under high-disturbance environments, thus breaking through the bottlenecks of traditional identification technologies.

The invention provides a power distribution network resource scheduling method and system based on computing power network integration, and belongs to the technical field of data processing and resource scheduling, and the method comprises the steps: obtaining a plurality of communication signals and a plurality of corresponding service requests, and packaging the communication signals and the service requests into a plurality of standardized data; corresponding response tasks are generated according to the service requests, and task resource requirements of the response tasks are determined; performing resource scheduling on each response task according to each task resource demand and a preset resource scheduling model, and determining resource configuration of each response task; according to each resource configuration, scheduling and allocating a plurality of virtual resources to each response task from a preset resource pool; and according to each response task and a plurality of corresponding virtual resource units, carrying out data processing on each piece of standardized data, so that by implementing the method and the device, the problems of relatively low utilization rate of power distribution network resources and inflexible scheduling in the prior art can be solved.

This application relates to the field of gas sensor packaging technology, specifically to an automated packaging method, system, and packaging device for gas sensors. The method includes: pre-establishing a packaging process parameter-gas-sensitive channel adaptation model; calculating the actual coaxiality deviation and correcting the sealing pressure reference value based on the gas-sensitive channel aperture; starting the integrated packaging unit, applying pre-pressure according to the corrected sealing pressure, and simultaneously collecting the temperature of the sealing area through an infrared temperature measurement module to determine whether dynamic adjustment of the welding temperature is needed; after welding, maintaining the corrected sealing pressure, and dynamically adjusting the pressure holding time based on the gas-sensitive channel length and the creep coefficient of the sealing material to complete the sealing process. This application achieves a precise balance between sealing performance and conduction efficiency by establishing a dynamic adaptation model of process parameters and gas-sensitive channel structure, overcoming the coupling imbalance bottleneck of existing technologies.

The application discloses a kind of conformal array rotation interference amplitude-phase error correction design methods, first, construct rotating array signal receiving model, according to the radius of rotating platform and angular velocity calculation rotating guide vector, construct rotating array channel amplitude-phase error model, correction source incident signal information acquisition, record the rotation angle of precision turntable;Covariance matrix is solved to the received data and eigenvalue decomposition, construct amplitude-phase error calculation equation;Solve amplitude-phase error matrix, construct amplitude-phase error correction matrix and correct the received data;Solve adaptive weight vector, and weighted output is carried out to the corrected data.The application compared with traditional array amplitude-phase error correction scheme, system structure is simple and easy to realize, without specific algorithm can be completed to the amplitude-phase error caused by array receiving channel is accurately corrected, effectively solve the receiving channel mismatch problem, improve array anti-interference performance.

This invention discloses an ultrasound-guided minimally invasive Achilles tendon suturing navigation device, belonging to the field of medical device technology. It includes a clamp body structure and two navigation mechanisms. The clamp body structure includes a connecting shaft, a clamp handle, and clamp heads. The clamp handle and clamp heads are connected by the connecting shaft. The clamp heads are located on the clamp handle, and there are two clamp handles and two clamp heads. The two navigation mechanisms are located on the two clamp heads respectively, and the two navigation mechanisms on the two clamp heads are interconnected. In use, ultrasound is used preoperatively to determine the course of the sural nerve and its accompaniment to the small saphenous vein to avoid intraoperative injury. During the procedure, the position and thickness of the Achilles tendon are confirmed under ultrasound guidance. Simultaneously, the navigation mechanism is passed through the Achilles tendon at an appropriate position, fixed, and the needle core is removed. Finally, the suture is passed through a cannula.

The invention discloses a photoelectric turret visual axis stability control method based on self-adaptive disturbance prediction compensation and a computer product, and the method comprises the following steps: S1, establishing a gyro speed loop discrete model, calculating the deviation between the output of the model and the angular velocity of a visual axis measured by a gyro, and obtaining a disturbance estimation value through an inverse model and a low-pass filter; s2, constructing a mathematical model of disturbance based on a recursive least square method, and performing multi-step forward prediction on equivalent disturbance by using the model; and S3, carrying out weighted fusion on the predicted equivalent disturbance and the real-time disturbance estimation value, and finally feeding a fused compensation signal forward to the input end of the control system to counteract the influence of the actual disturbance on the system. According to the method, real-time estimation and dynamic prediction are fused, the learning-prediction capacity is added on the basis of perception-compensation of a traditional DOB, the method is suitable for a photoelectric turret control system which is remarkable in periodic disturbance or sensitive to delay, phase lag of the traditional DOB is reduced, and the stable control bandwidth and disturbance rejection capacity of a visual axis are greatly improved.

The invention provides a broadband gain positive slope amplitude-phase control multifunctional chip for a T / R assembly, which relates to the technical field of radio frequency integrated circuits and comprises a receiving channel, a transmitting channel, an equalization circuit, a numerical control attenuator, a numerical control phase shifter, a transmitting-receiving change-over switch module and a parallel control module. The parallel control module is used for outputting parallel control signals to the numerical control attenuator, the numerical control phase shifter and the transceiving change-over switch module; the equalization circuit is respectively connected with the receiving channel and the transmitting channel through the transmitting-receiving change-over switch module, so that a signal path of the receiving channel and a signal path of the transmitting channel multiplex the equalization circuit, the numerical control attenuator and the numerical control phase shifter; and the equalization circuit is of an on-chip integrated structure and is used for adjusting the gain of the receiving channel and the gain of the transmitting channel to present a positive slope characteristic relative to the frequency in a wide frequency band so as to compensate the frequency attenuation of an external device.

The application provides a kind of adaptive virtual impedance low voltage ride-through method suitable for hydrogen fuel cell system, it is related to hydrogen fuel cell power generation control technical field.The application obtains the current tolerance and reactive power support boundary in future time window accurately by using dynamic capability prediction model after triggering low voltage ride-through mode by real-time monitoring grid-connected point voltage and fuel cell body state, provides accurate constraint for adaptive adjustment of virtual impedance.Based on this boundary and voltage drop characteristics, a multi-objective optimization model is constructed, and the optimal virtual impedance value and power command change trend are obtained by solving, overcoming the mismatch problem of fixed virtual impedance.Further combined with the dynamic adjustment of converter and fuel cell controller, the virtual impedance can track the system operating condition changes in real time, while considering the reactive power support demand to suppress fault current impact and avoid oscillation or off-grid.The application improves the ride-through success rate and operation stability of hydrogen fuel cell power generation system under low voltage fault.

The invention belongs to the technical field of software development, and relates to a persistent modeling method based on model driving. Description files and component codes are automatically generated and are synchronously linked when configuration is changed, traditional manual configuration, XML solidification and manual synchronous operation are replaced, the labor cost is reduced, and inconsistency of parameters and the files is avoided; for the problem of verification missing, a double-layer verification mechanism of static verification and dynamic verification is set, it is ensured that the persistent component achieves necessary interfaces such as state recovery and port access, and the problem that the component is marked as persistent but has no recovery logic is avoided; for the problem of flow breakage, a synchronous linkage mechanism is automatically generated and changed to break the independent relation between XML and component codes, automatic synchronization of the XML and the component codes is achieved, code adaptation configuration does not need to be manually adjusted, the development amount is reduced, and mismatching caused by improper adaptation is avoided.

The invention discloses a construction management and BIM component intelligent association method based on semantic space analysis. The method comprises the steps that original voice signals are collected and processed; converting the voice signal into text information; performing entity recognition on the text information, and extracting entities; extracting space coordinates and attribute information of the components, and constructing a three-dimensional space index; searching all components in the spatial position range by utilizing a three-dimensional space index, and filtering to obtain candidate components; sorting the candidate components based on the space coordinates and the component types of the candidate components, and generating a mapping relationship between relative sequence numbers and component identifiers; mapping the relative sequence number of the entity into a component identifier by utilizing the mapping relationship; calculating the matching degree of each candidate component in multiple dimensions and the total matching degree to obtain a target BIM component; the detection result and the target BIM component are stored in an associated mode, and the attribute or state of the corresponding component in the BIM model is updated. The information association efficiency and the matching accuracy can be improved.

This application discloses a liquid level control device and a liquid cooling cabinet for automatically adjusting the liquid level inside the liquid cooling cabinet to prevent the liquid level from being too high or too low. The liquid level control device is applied to a liquid cooling cabinet, which includes a cabinet body, a first inlet pipe connected to a liquid supply pipe, and a first outlet pipe connected to a return pipe. The device includes: a liquid level monitoring device installed inside the cabinet body, a control valve installed on at least one of the first inlet pipe and the first outlet pipe, and a controller. The controller is used to acquire liquid level detection data from the liquid level monitoring device and adjust the opening of the control valve according to the liquid level detection data.

The application provides a light-assisted charging aqueous zinc ion battery and a preparation method thereof, and provides a light-assisted charging aqueous zinc ion battery, which comprises a light cathode, a diaphragm, an electrolyte, a zinc anode and a battery shell, the light cathode is a vanadium oxide compound light cathode, the zinc anode is a metal zinc sheet, the electrolyte is a zinc salt aqueous solution, and the light-assisted charging aqueous zinc ion battery is packaged in a battery shell with a cathode side opening, the vanadium oxide compound light cathode and the metal zinc sheet anode are separated by a diaphragm, and the diaphragm is filled with electrolyte on both sides. The application can realize the light-assisted charging aqueous zinc ion battery which can collect solar energy and store at the same time, and improve the electrochemical performance of the aqueous zinc ion battery.

This invention belongs to the field of triple mode redundancy (TMR) technology, and particularly relates to a selective TMR conversion method and system based on two-stage decoupling. The method includes acquiring the Verilog design code to be converted and parsing the circuit signals; calculating the dynamic activity of each circuit signal, dividing the circuit signals into critical and non-critical circuit signals, and forming a list of critical circuit signals; reading the list of critical circuit signals, traversing each assignment statement in the Verilog design code to be converted, and identifying whether the current circuit signal is a critical circuit signal; performing TMR operation on the identified critical circuit signals, and using logical assignment to make the replica signals track the original signals in real time for the identified non-critical circuit signals, thus completing the selective TMR conversion. This invention completely decouples the two stages of dynamic activity analysis of circuit signals and selective conversion of source code, and performs true / pseudo-TMR splitting processing.

This invention discloses an anisotropic sparse deconvolution enhancement method and system for ultrasound tumor image segmentation. The method includes: establishing a local convolution model for ultrasound RF images based on the anisotropic characteristics of the ultrasound xz imaging plane; constructing an axis-aligned elliptical symmetric anisotropic point spread function (PSF), whose lateral and axial spread scales are obtained through physical parameter conversion or data-driven methods; constructing an ultrasound sparse reconstruction objective function incorporating the anisotropic PSF, adding non-negativity constraints, introducing a weighted Hessian continuity term and an L1 sparse prior term in the xz plane direction, and optimizing the solution to obtain the sparse reconstruction result; using this result as input, employing an RL iterative deconvolution method based on the anisotropic PSF, and achieving image boundary sharpening and noise suppression through PSF flip kernel ratio iteration; inputting the enhanced image into a tumor segmentation network to complete training and inference, thereby achieving ultrasound tumor image segmentation.

The application discloses a liquid level height automatic calculation method and system based on spectral characteristics, a medium and equipment, and particularly relates to the technical field of container liquid level automatic calculation and dynamic monitoring. The method improves the algorithm through spectral curve change point detection, accurately captures the spectral feature difference between gas phase and liquid phase through spectral sequence modeling, introduces the running length index and dynamic updating mechanism, filters out the real gas-liquid interface change point through the multiple check mechanism to filter the false change point, infers the type according to the mean difference before and after the change point and the running length change, takes the clear mutation point or the midpoint of the gradual transition zone as the interface, combines the pixel resolution and the bottom starting position, and obtains the actual liquid level height through formula calculation, establishes the conversion relationship between the pixel quantity and the actual liquid level height through the proportional relationship between the image axis pixel number and the absolute height of the container, and finally takes the average value of the calculation results of three wave bands as the absolute height of the liquid level based on the pixel number of the spectral curve feature point.

This application provides a digital grading method and apparatus for paper-based assignments. The grading method includes: performing adaptive partitioning on an assignment image containing student information to obtain a question area and an answer area; the answer area includes an objective filling area and a subjective writing area, wherein the subjective writing area includes a handwritten text area and a handwritten formula area; based on the content characteristics of the target area, calling a detection and recognition model that matches the content characteristics to obtain the recognition result of each answer area; for fuzzy recognition results of the subjective writing area, introducing the writing style characteristics of the current student information to correct the fuzzy recognition results, and updating the recognition results of the subjective writing area based on the correction results; comparing the final recognition results of each answer area with the assignment answers to generate and output the grading results. The grading method and apparatus of this application form a fully automated process from image input to grading result output, requiring no manual intervention and achieving effective automatic grading.

The application discloses a post-earthquake railway structure state evaluation method and system based on multi-source data fusion, which comprises the following steps: constructing a finite element model according to the structure of a regional railway network, generating a simulation data set, training a physical information neural network model, and forming a proxy model library; collecting multi-source observation data, inverting the complete posterior probability distribution of the damage parameters according to the Bayesian theory, the structure damage parameters of the physical information neural network proxy model and the multi-source observation data; extracting the statistical characteristics of the damage parameters from the posterior probability distribution, probabilistically grading the damage degree of the structure, generating driving constraint suggestions according to the damage probability grading and combining the specifications, and reducing the Bayesian inversion time from several days to several hours through the physical information neural network proxy model, thereby improving the evaluation efficiency; the output of the Bayesian method is a probability distribution, which clearly shows the uncertainty range of the evaluation result and quantifies the uncertainty.

The present application belongs to the field of blast furnace system health management and prediction, and specifically discloses a blast furnace degradation model calibration and residual life prediction method under a noise environment. The method is based on a fractional Brownian motion with historical dependence, constructs an initial degradation model of the blast furnace system, estimates the model parameters by the maximum likelihood estimation method, and determines the optimal model structure of the blast furnace system temperature change by the Akaike information criterion. In addition, the present application also designs a model calibration trigger mechanism; when the mechanism is not triggered, the Bayesian fusion particle filter is used to estimate the potential degradation state of the system and update the model parameters; when the mechanism is triggered, a prediction error model is constructed and the degradation model structure is calibrated to adapt to complex working conditions. Finally, the probability distribution function of the residual life of the blast furnace system is derived, and the residual life prediction of the blast furnace system is carried out according to the calibrated degradation model.

This invention discloses a landmark matching PDR positioning method in multi-intersection scenarios, belonging to the field of indoor positioning technology. The method enhances landmark credibility by constructing landmarks through multi-dimensional information perception. Simultaneously, by adaptively extracting landmarks with different spatial features, this method is applicable to various landmarks, such as some unconventional intersections. Furthermore, this application uses different thresholds to define the radius of influence of different landmarks, solving the localization system mismatch problem caused by traditional single-location detection of landmarks, thus improving positioning accuracy to a certain extent. This application also further improves positioning accuracy by incorporating heading weights into trajectory similarity metrics, achieving dual correction of the position and heading of moving targets.

The present application relates to the technical field of intelligent dry ice production hydraulic control, a dry ice production hydraulic control method and system based on multi-sensor cooperation, the method comprising: confirming a dry ice production hydraulic control environment based on a dry ice production hydraulic control instruction, performing hydraulic pressure on the dry ice raw material based on a hydraulic cylinder, collecting data based on a multi-source sensing unit, time-synchronizing multi-source information to obtain synchronized multi-source information, analyzing the synchronized multi-source information based on an intelligent analysis and decision unit, calculating a target flow based on a working condition stage, calculating a compensation pressure based on a pipe cross-sectional area and the target flow, performing comparative analysis based on synchronized real-time pressure, synchronized output flow, the target flow and the target pressure, and obtaining a reversing valve control instruction based on the working condition stage. The present application can improve the precision, efficiency, reliability and energy utilization rate of dry ice production hydraulic control.

The utility model relates to the technical field of automobile fuel system, specifically is a kind of fuel vapor emission control valve. Including valve body, the top wall or side wall of valve body is equipped with inflow, when the side wall of valve body is equipped with inflow, inflow outside is equipped with retaining wall, and retaining wall and the side wall between valve body form accommodating space. Compared with prior art, the fuel vapor emission control valve in traditional fuel tank is improved, the critical height of liquid level trigger is changed, the closing height of valve is effectively reduced, the flatness characteristics of hybrid vehicle fuel tank are aimed at, the valve closing logic is optimized, the mismatch problem of traditional FLVV on hybrid vehicle is solved, and function upgrade is realized by local structure adjustment.

The present application relates to the technical field of animal-related pattern recognition in image / video data, and particularly relates to a multi-source information fusion intelligent recognition method and system for sheep health monitoring. The method first obtains a pair of visual data through synchronous verification and pairing of visible light and infrared acquisition units, and screens high-quality data through preprocessing and quality verification. Then, features are extracted, redundant and weakly distinguishable features are removed, and the fusion weight is dynamically adjusted in combination with the feature consistency coefficient to obtain fused features. Finally, the prediction result is obtained through hierarchical decision fusion, the sheep health and emotional state are determined based on the confidence, and the state duration is combined for grading early warning. The method ensures efficient fusion of multi-source information, improves recognition accuracy, ensures timely and accurate early warning, adapts to the needs of fine monitoring of large-scale breeding, reduces breeding risks, and improves efficiency.