68results about How to "Solve the accuracy problem" patented technology

The application relates to the technical field of data analysis, and discloses a karst fissure identification-based open-pit mine blasting parameter optimization method and system. The method comprises the following steps: obtaining karst fissure distribution characteristic data through multi-source detection, establishing a three-dimensional fissure network topology structure, analyzing static breaking agent inflation stress propagation rules, performing multi-objective optimization solving based on stress propagation direction and intensity distribution to obtain an initial blasting parameter combination, and obtaining dynamic adjustment blasting parameters through real-time tracking and regulation according to fissure dynamic evolution in the blasting process. The application solves the problem that static blasting parameters cannot be real-time regulated according to the dynamic evolution state of the fissure network in the blasting process, resulting in deviation between the blasting effect and the expected target.

This application provides a method and apparatus for controlling corrosion in generator set pipelines. The method includes: performing feature normalization processing on the original dataset to obtain a target dataset; constructing an iron ion concentration prediction model based on the iron ion concentration in the target dataset and the unit operating parameters; calculating the predicted iron ion concentration using the iron ion concentration prediction model and real-time unit operating parameters; calculating the real-time corrosion rate using a corrosion rate physical model and the predicted iron ion concentration; obtaining the monitoring result based on the relationship between the real-time corrosion rate and a corrosion rate threshold; and adjusting the unit operating parameters in reverse when the real-time corrosion rate exceeds the corrosion rate threshold until the real-time corrosion rate falls back to within the corrosion rate threshold. By predicting the predicted iron ion concentration under real-time unit operating parameters and combining it with the corrosion rate physical model for online monitoring and control of the corrosion rate, this method solves the problems of significant lag and insufficient accuracy in existing boiler steam-water system corrosion monitoring and control methods.

The application discloses a kind of based on spot image moment feature telescope primary and secondary mirror calibration method, belong to telescope computer-aided alignment field.The specific steps of the calibration method are as follows, first, randomly give the free degree misadjustment of telescope system secondary mirror, utilize unbiased finite impulse response moment to extract the spot image feature of multiple field of view within reasonable range under the misadjustment state of telescope;Then utilize fully connected neural network to construct the model between the free degree misadjustment of secondary mirror and the multiple field of view spot image feature matrix;In actual use, after the multiple field of view spot image collected by CCD camera is extracted into feature matrix using unbiased finite impulse response, it is input into the trained neural network model to solve the misadjustment of secondary mirror, to guide the alignment of telescope system.This method aims to wavefront sensor as the image quality evaluation benchmark of telescope without, and without multiple iterations, to improve the efficiency of system primary and secondary mirror alignment and the imaging quality of system.

This invention provides a comprehensive control method for the coaxiality of the wind tunnel loop, belonging to the field of wind tunnel construction technology. This invention calculates thermal deformation in real time by establishing a coupled temperature field and deformation field finite element model, and dynamically adjusts the density of measuring points using a three-layer multi-scale iterative leveling method to achieve efficient and accurate measurement. It uses the Jacobian mapping matrix and matrix pseudo-inverse operation to solve the optimal support point adjustment amount, and introduces a torque sensor and hydraulic jack in the corner section to form a closed-loop control system to dynamically balance the torsion angle. This solves the technical problem of the difficulty in achieving full-scale accurate coaxiality control of the wind tunnel loop under the coupling effect of multiple physical fields.

This invention discloses a rapid prediction method for rail rolling contact fatigue damage in the field of rail damage prediction technology. The method includes establishing a three-dimensional elastoplastic wheel-rail cyclic rolling contact finite element model, improving the cyclic plastic constitutive model, and simulating the stress-strain evolution of the rail. A rail stress-strain sample library is generated through parametric sampling and batch calculation. A Physically Constrained Generative Adversarial Network (PC-GAN) is constructed, embedding physical constraints such as contact force conservation and energy consistency into the loss function to achieve rapid and high-precision mapping from operating parameters to the stress-strain field. Based on the PC-AN prediction results, cumulative damage and fatigue life are calculated using an incremental multiaxial fatigue damage model, and a damage distribution map of the entire rail line is drawn, identifying high-risk sections. This invention deeply integrates physical modeling with intelligent algorithms, achieving an order-of-magnitude improvement in rail fatigue damage assessment efficiency while ensuring prediction accuracy, providing efficient and reliable technical support for rail life assessment and maintenance decisions across the entire rail line.

A method, system, device, and readable storage medium for predicting leading-edge bulging cracks are disclosed, relating to the field of geological disaster monitoring and early warning. Specifically, the method includes determining the active thrust of the landslide on the leading edge based on the landslide mass weight, sliding surface dip angle, seepage hydrodynamics, and additional thrust, wherein the additional thrust is generated by external dynamic disturbance. When the detected active thrust is not less than the passive earth pressure limit, the target vertical bulging displacement is determined based on horizontal shear displacement, maximum dilatation angle, geometric correction factor for shear zone thickness, hydraulic correction factor, initial effective stress, real-time effective stress, and dilatation angle stress sensitivity factor. The predicted leading-edge bulging crack result is determined based on the target vertical bulging displacement and the predicted vertical bulging displacement. This application can improve the accuracy and applicability of leading-edge bulging crack prediction.

This application discloses a method, apparatus, storage medium, and electronic device for updating the mesh scale, relating to the field of smart home technology. The method includes: upon obtaining the contour cross-sectional data of the object to be modeled, processing the curve path corresponding to the contour cross-sectional data using preset modeling control parameters and a first formula to obtain multiple sampling points; calculating the tangent direction of each sampling point on the path, and determining all two-dimensional vertices constituting the preset contour cross-sectional shape based on the contour cross-sectional data; projecting each two-dimensional vertex along the tangent direction of the corresponding sampling point to obtain a three-dimensional contour surface consistent with the position and direction of the sampling point; adjusting the mesh subdivision density of the three-dimensional contour surface, and updating the mesh scale of the object to be modeled during three-dimensional modeling based on the adjusted mesh subdivision density. This method solves the problems of insufficient accuracy and low efficiency in traditional modeling methods when processing complex curve paths.

The utility model discloses a paper conveying guide mechanism of printing machine belongs to printing mechanical technical field. The utility model adopts technical scheme, a kind of paper conveying guide mechanism of printing machine, including the guide paper wheel subassembly of being set to the paper conveying outlet of printing machine, and the regulating assembly for adjusting the position of guide wheel subassembly is equipped with on the outside of printing machine paper transmission outlet, the guide paper wheel subassembly includes wheel seat, the wheel frame is rotatably connected with the lower end of wheel seat, the wheel piece is equipped in wheel frame end, and the pressure regulating mechanism for adjusting the normal pressure of wheel piece and paper surface is equipped on wheel seat;The utility model is through the cooperation of guide paper wheel subassembly, regulating assembly and pressure regulating mechanism, realize the quick and accurate adjustment of guide paper wheel position and normal pressure, with the advantage that the normal pressure of guide paper wheel and paper surface can be conveniently and accurately adjusted, avoid the paper deformation caused by excessive pressure or the paper floating caused by too small pressure.

The application relates to the technical field of circuits, and provides a circuit of a VI source and test equipment with the same, which comprises an error amplification module, a power amplification module, a feedback module, a current sampling module and an external interface module; the inverting input end of the error amplification module is connected with the voltage feedback part of the feedback module; the voltage feedback part and the current feedback part of the feedback module are used for being connected with a device under test through the external interface module. The output end of the error amplification module is connected with the non-inverting input end of the power amplification module; the output end of the power amplification module is connected with the current sampling module; the current sampling module is connected with the current feedback part of the feedback module; the voltage negative feedback closed loop can be formed through the feedback module; the output voltage can be adjusted in real time; the precision and stability of the voltage output are improved; the feedback module, the error amplification module and the power amplification module work cooperatively to realize accurate control and stable output of the output current.

This invention discloses a method and system for injecting knowledge into large-scale models for vertical industries, belonging to the field of large-scale model knowledge injection technology. The method involves: collecting professional knowledge data from vertical industries, performing denoising, structured transformation, and terminology standardization; dividing the data into knowledge modules and associating them with vectorized indexes and metadata tags to form a vertical industry knowledge base; parsing the semantic feature vector of the input question using a dynamic routing classifier and routing it to the target knowledge module in the vertical industry knowledge base; employing a hybrid retrieval strategy to recall relevant document sets from the target knowledge module and deduplicate them to generate enhanced retrieval results; based on this, concatenating the enhanced retrieval results with the input question using industry-specific prompt templates; and inputting the LoRA-tuned large-scale model to generate accurate answers conforming to industry standards. This invention solves the problem of insufficient knowledge adaptability of large-scale models in vertical industries, improving the accuracy and applicability of large-scale models in vertical industries.

This invention relates to the field of medical data analysis technology, specifically to a patient response assessment method and system based on chemotherapy data analysis. The method includes the following steps: accumulating drug administration time and dose to form a cumulative exposure sequence; matching biomarker time and concentration to form response pairs; extracting adjacent differences and dividing assessment intervals according to correlation; calculating the interval change ratio to obtain an assessment coefficient sequence; and combining the drug administration time window and the response time window to calculate the chemotherapy response result. In this invention, by time matching and difference analysis of cumulative exposure and tumor marker concentration data, the relationship between exposure changes and indicator changes is characterized, reducing fixed threshold assessment bias, improving the utilization of time series data, enhancing the accuracy and individual adaptability of assessment results, improving the reliability of chemotherapy response assessment, and stabilizing assessment consistency.

This invention relates to the field of electronic packaging technology and discloses a multi-physics coupled packaging simulation method, including S1, macroscopic equivalent model construction, which establishes a macroscopic packaging model containing multi-physics loads and performs equivalent processing on the microscopic complex structure to efficiently obtain the overall temperature, displacement, and stress distribution; S2, key region identification, which combines macroscopic equivalent modeling with microscopic fine modeling and establishes a macro-micro bidirectional coupling mechanism to enable the macroscopic structural response and microscopic local behavior to be solved collaboratively under the same analysis framework; at the same time, combined with an adaptive iteration strategy, the microscopic model is dynamically introduced only in key high-risk areas to avoid the degree-of-freedom explosion problem caused by global fine modeling, thereby significantly reducing the overall computational scale while ensuring the accuracy of stress and strain prediction in key areas, effectively solving the problem of "difficulty in balancing accuracy and efficiency" in the prior art, and achieving a unity of high efficiency and high accuracy in multi-scale simulation.

The present invention discloses an intelligent pillow system with multi-zone airbag adjustment. The present invention precisely senses the head position and sleeping posture through a high-density fiber pressure sensor array, and based on this information, drives an innovative "single air pump + multiple electronic control valves" and "integral airbag + partitioned air conduction" structure, achieving remarkable beneficial effects: First, by immediately triggering the overall descent protection when the head is tilted up / down, it can actively prevent hyperextension and hyperflexion of the cervical vertebra, effectively reducing the risk of neck pain and discomfort. Second, the sensor without protrusions embedded and the PWM smooth adjustment of the airbag ensure a comfortable experience; the system adopts a single power unit and logical partition design, greatly simplifying the air circuit, significantly reducing the hardware cost, power consumption, and the failure rate of easy leakage in multi-chambers, and improving the reliability. In addition, the interaction mode combining user-set instructions and automatic recognition takes into account both convenience and personalization, and the self-learning module enables the pillow to continuously adapt to the user's habits, achieving long-term precise personalized support.

This application relates to a method, system, device, storage medium, and computer program for complex near-surface shallow velocity modeling. The method includes: acquiring preset shot-receiver surface elevation, shot line spacing, and receiver line spacing; smoothing the preset shot-receiver surface based on the shot line spacing and receiver line spacing to obtain a first updated surface at different smoothing scales; smoothing the acquired total static correction to obtain low-frequency static correction and high-frequency static correction; smoothing the first updated surface based on the low-frequency static correction and high-frequency static correction to obtain a first simulated surface; constructing an initial near-surface gradient model based on the first arrival time of each seismic trace, the preset shot-receiver surface elevation, and the first simulated surface, and performing iterative inversion using wave tomography to obtain a final velocity model; and using the final velocity model to perform velocity analysis on each seismic trace to obtain seismic data characteristics. This method improves the accuracy of near-surface velocity modeling and reduces near-surface velocity modeling errors.

This invention provides a water level monitoring method, system, electronic device, and storage medium, relating to the field of ship safety monitoring technology. The method includes: acquiring water level status information uploaded by multiple water level monitoring terminals located at the bottom of the ship's fish hold; performing fusion analysis on the water level status information from each monitoring terminal to obtain water level distribution data at the bottom of the fish hold; and performing tiered alarm operations based on the water level distribution data. This invention, through a coherent design of multi-point monitoring, fusion analysis, and tiered response, systematically solves the problems of decreased monitoring accuracy and false alarms caused by ship motion interference, achieving more accurate and reliable monitoring of fish hold water levels.

The application discloses an auxiliary feeding robot visual line estimation method and an auxiliary feeding robot, wherein the visual line estimation method comprises the following steps: obtaining a face image through a camera module; detecting a face position of the face image to obtain face feature points; performing face alignment according to the face feature points and head pose estimation; correcting the face image according to the head pose estimation result; extracting features of the corrected face image to obtain a real-time visual line estimation result, confirming the meal in the meal tray that the person being fed wants according to the real-time visual line estimation result, and realizing compliant control of the end of the mechanical arm through a sensing unit, so as to guarantee feeding safety. The application considers the influence of the head pose on the estimated visual line estimation vector, so that the visual line estimation method can well adapt to the eyeball structure of the user and the environment in which the user is located, effectively improves the positioning accuracy, reduces errors, can be effectively applied to a feeding task and guarantees feeding safety.

This application proposes a sensor control method and system for intelligent terminals based on ant colony optimization (ACO) algorithm. The method includes: determining scene nodes and their characteristics, and task priorities along a route; determining the current scene node; controlling each intelligent terminal to periodically broadcast via a low-power communication module; evaluating the efficiency-to-energy ratio and mapping the results to pheromone concentration in the ACO algorithm; selecting intelligent terminals as detection nodes; and controlling the detection nodes to generate sensor schemes and perform detection according to these schemes. This application achieves scene-based, refined, and adaptive sensor control through the synergy of scene adaptation, dynamic evaluation, intelligent point selection, and refined control. This ensures precise matching of sensor control strategies with environmental requirements, guarantees a dynamic balance between energy consumption and accuracy, and optimizes sensor resource allocation, comprehensively improving the accuracy, adaptability, and energy economy of intelligent terminal sensor control.

This invention relates to the field of task scheduling technology, specifically to a method for unloading and scheduling interactive tasks and resources in intelligent terminals based on edge-side state awareness. The method includes the following steps: collecting CPU utilization, GPU utilization, and communication latency data; smoothing communication latency to form an edge-side state indicator set; calculating a suitability index based on the edge-side state indicator set and task characteristics; generating a priority ranking table by scoring and fusing according to rules; selecting the first-ranked path; analyzing computing power and latency to construct an execution strategy; invoking dynamic resource scheduling; monitoring latency and providing feedback to adjust weights to generate resource scheduling instructions. In this invention, by collecting CPU and GPU utilization and communication latency in real time, using a sliding window to smooth and optimize scheduling, weighting the maximum tolerable latency with data size to match edge-side state and generate priorities, and dynamically adjusting resource allocation to match execution paths and network latency, this method avoids resource waste and task delays caused by static rules, thereby improving performance and utilization.

The application discloses a battery replacing mechanism and a control method, and relates to the technical field of new energy sources.The battery replacing mechanism comprises a battery replacing box and a rotating table for bearing the battery replacing box.A sliding channel for linear motion of the battery replacing box is fixed on the rotating table.Driving mechanisms are installed on both sides of one end of the sliding channel.Springs for buffering when the battery replacing box is installed are installed on the other end of the sliding channel.Pressure sensors are installed on the springs.The battery replacing mechanism is used for replacing batteries through cooperation of a forward and backward structure on the rotating table and corresponding battery replacing boxes, and is used for cooperating with an electric control system, so that the stability and safety of battery replacement can be greatly improved, and the problems of high cost caused by construction of a battery replacing station and stability and precision caused by hoisting with a vehicle in the prior art are solved.

This utility model belongs to the field of exploration equipment, specifically an auxiliary device for land coal seismic exploration equipment. It includes a main body with an exploration adjustment component on one side. The exploration adjustment component includes a fixed plate, on the top of which a camera, a remote control motherboard, and a fixed frame are sequentially fixed. A lifting frame is mounted on a slider on the fixed frame, and a ball nut is fixedly installed on one side of the lifting frame. A ball screw is threaded through the ball nut and mounted on the ball screw. One end of the ball screw is fixedly installed at the output end of a first servo motor. The first servo motor drives the ball screw to achieve precise height adjustment, the second servo motor adjusts the lateral angle via a pulley, and the third servo motor drives the pulley to achieve fine angle adjustment. Combined with the high-precision control of the servo motors, this achieves three-dimensional high-precision adjustment of the seismic wave sensor, solving the problem of low accuracy in the exploration angle and height adjustment of traditional devices and improving the accuracy of fine exploration in complex terrain.

This utility model relates to the technical field of breast pads, and in particular to a breast pad with an adjustable connection length, comprising: a first breast pad, a second breast pad, a first buckle, and a second buckle, the first buckle and the second buckle being detachably connected to the first breast pad and the second breast pad, respectively; a connecting strap, one end of which is fixedly connected to the first buckle, the connecting strap having two opposing sides, one side being a skin-contact surface and the other side being a connecting surface, the end of the connecting surface being provided with Velcro, the Velcro being used for detachable adhesion to any position on the connecting surface, and the inner diameter of the second buckle being adapted to the width of the connecting strap and used for threading the connecting strap. This application solves the problems of traditional buckles being unable to adjust, low adjustment precision of multi-position buckles, and cumbersome operation by using Velcro to adhere to any position on the connecting surface of the connecting strap, thus achieving flexible and precise adjustment of the distance between the two breast pads, improving adjustment flexibility and ease of use.

The application discloses an INP file analysis method. Wherein, the method comprises: fusing the first block size predicted by the machine learning model and the second block size calculated based on the feedback formula through the trust factor to obtain the third block size; dividing the first INP file into the third data block and the second INP file, identifying the complete data block and the separated data from the third data block according to the lightweight boundary identification model, splicing the separated data and the second INP file to form a new first INP file; analyzing the complete data block in parallel and storing the final analysis result; repeating the above process until the size of the first INP file is less than or equal to the third block size, at this time, the first INP file as a whole is analyzed as a complete data block; the final analysis results of all complete data blocks are merged into the complete analysis result of the INP file for storage. The application solves the problems of low analysis efficiency and poor analysis accuracy of the existing INP file analysis technology.

The invention relates to the technical field of five-axis machine tools, in particular to a five-axis machine tool rotary table driving device which comprises a rotary table, a sliding base and a machine tool body, the rotary table is rotationally connected to the sliding base along the vertical rotation axis, and the sliding base is slidably connected to the machine tool body in the X-axis direction. The linear driving device has the beneficial effects that the detection precision, the driving precision and the driving stability of the linear driving device are improved through the precise alignment of the reference point of the reading head assembly and the rotation center and the cooperative matching of rigid locking and thermal extension self-adaptive release functions realized by the clamp at the tail end of the lead screw; therefore, the adaptability of the linear driving device to use scenes with high precision requirements is improved, and the requirements for high-precision machining in the high-end manufacturing fields such as aerospace and mold manufacturing are met.

The application provides a high-precision cross stacking and separating device for stacking or separating flat materials, which comprises a receiving structure and a moving structure. The receiving structure is used for supporting the materials, and comprises a first platform, a second platform and a third platform arranged along the same horizontal direction and capable of moving up and down independently. The moving structure comprises a first moving component and a second moving component. The first moving component and the second moving component are used for transporting the materials from the first platform and the third platform to the second platform, or transporting the materials from the second platform to the first platform and the third platform. The cross stacking and separating device effectively solves the problems of insufficient precision and low efficiency in the stacking and separating process of flat materials through the cooperative operation of the receiving structure capable of moving up and down independently and the double moving components.

This invention discloses an online identification method for key parameters of a magnetically driven rotor for twin control. The method includes: constructing a parameterized digital twin model of the magnetically driven rotor, defining the time-varying key internal parameters in the model as parameter vectors to be identified; defining an objective function within a set time window, transforming the parameter identification problem into a nonlinear optimization problem that minimizes the objective function; adaptively identifying system parameters based on the LM optimization method to obtain parameter update vectors; passing the parameter update vectors to the system matrix of the parameterized digital twin model for state prediction at the next time step, and outputting the parameter update vectors to complete the online identification of key parameters. This invention effectively improves the accuracy, real-time performance, and embedded platform adaptability of parameter identification, providing a reliable model foundation for high-precision control, performance degradation monitoring, and predictive maintenance of magnetically driven rotors.

This utility model discloses a self-cleaning tap for blind hole machining, including a support frame, a transmission rod, a tapping mechanism, and an angle adjustment mechanism. The transmission rod is rotatably connected to the support frame, the tapping mechanism is mounted on the transmission rod, and the angle adjustment mechanism is mounted on the support frame. This utility model solves the problems of insufficient precision and cumbersome operation in traditional motor-driven angle adjustment by setting up an angle adjustment mechanism and, through the coordinated mechanism of the ratchet and pawl linkage structure and the cam rotation within the angle adjustment mechanism. The ratchet and pawl structure, through its mechanical hard-limiting characteristics, ensures that each angle adjustment stops precisely at 90°, eliminating gear backlash errors or inertial overshoot caused by direct motor drive. Furthermore, the linkage design of the cam-driven pawl further enhances the repeatability and positioning accuracy of angle switching, avoiding thread machining quality defects caused by angle deviations in traditional taps. It is simple, efficient, and practical.

This invention discloses a method and system for predicting membrane fouling in membrane bioreactors, relating to the field of fouling detection technology. The method includes: setting a frequency detection strategy; connecting the membrane bioreactor and acquiring membrane feedback signals based on the frequency detection strategy; performing time-series characteristic analysis of feedback signal fluctuations based on the membrane feedback signals to obtain feedback signal characteristics; importing the feedback signal characteristics into a mechanistic hybrid prediction model in conjunction with reactor operating parameters, wherein a mechanistic constraint layer applies mechanistic constraints based on the feedback signal characteristics, and a data-driven prediction layer performs data parsing on the time-series data characteristics based on the mechanistic constraints to obtain membrane state prediction results; and performing membrane fouling state analysis and progress prediction based on the membrane state prediction results to generate a membrane fouling prediction data chain. This method solves the technical problems of existing technologies where membrane fouling prediction relies on empirical thresholds, leading to recognition lag and insufficient accuracy, and achieves the technical effect of improving the accuracy and real-time performance of membrane fouling prediction.

This invention relates to the field of power system data analysis and energy management technology, specifically to a system and method for real-time data acquisition and forecasting of electricity user energy consumption. It collects multi-source heterogeneous data from the user side in real time, and after standardization, cleaning, and time-series alignment, fuses the data based on a unified data model to construct a correlated data cube. This allows for the construction and dynamic updating of digital twin models for electricity users, simulating their electricity consumption characteristics and market behavior. A multi-timescale collaborative forecasting mechanism is activated to generate short-term, medium-term, and long-term electricity demand and electricity market price forecasts, and to formulate trading strategies accordingly. By feeding back actual transaction and market data, the model parameters and forecasting strategies are continuously optimized. This effectively solves the problem of limited accuracy in energy consumption and market forecasting caused by insufficient fusion of multi-source heterogeneous data and lack of collaborative analysis, significantly improving the accuracy of load and electricity price forecasts.

This invention discloses a multi-model fusion method and system for permanent magnet motor fault diagnosis, belonging to the field of permanent magnet motor fault diagnosis technology. It aims to improve the flexibility and adaptability of models in multi-task learning and hierarchical classification by introducing multiple Softmax-layer CNNs and fusing them with multiple models, while effectively solving the problems of weak noise resistance and insufficient generalization ability of single models. Specifically, the technical solution of this invention first collects the vibration and current signals of the faulty permanent magnet motor, then uses Markov transfer fields to adaptively enhance the time-domain signals into images. Using a multi-Softmax-layer CNN and XGboost as base learners and an IWOA-SVM model as the meta-learner, a high-precision fault diagnosis result is finally obtained. This invention combines the advantages of multiple Softmax layers and multi-model fusion, effectively solving the multi-task fault diagnosis problem under complex working conditions, and improving the accuracy, reliability, and adaptability of fault diagnosis.