118results about How to "Solve inaccurate" patented technology

The dynamic hot runner temperature control method suitable for the mold comprises the steps that S1, a temperature sensor is installed in a mold hot runner to collect flow characteristics, heat distribution and temperature original data in the material solidification process, and the temperature original data are transmitted to a temperature control system; s2, the required power adjustment amount Pc is calculated through a PID controller in the temperature control system according to the deviation value delta T between the actual temperature Ta and the set target temperature Ts, and the power adjustment amount Pc is sent to a heater for adjustment; s3, constructing a temperature prediction model M, and predicting the temperature change trend of each section of the mold hot runner through the temperature prediction model M; and S4, a multi-objective optimization function Ft is created, an optimal combination solution St is searched through a particle swarm optimization algorithm PSO, and the optimal set value combination of the hot runner temperature is maintained according to an optimization objective. According to the invention, the energy consumption is reduced while uniform temperature distribution is ensured, the temperature control precision and the response speed are obviously improved, and the requirement of human intervention is reduced.

The invention relates to the technical field of semiconductor equipment, in particular to a horizontal monitoring and self-adjusting system for a manipulator. The self-adjusting system provided by the invention comprises a manipulator wafer bearing device used for bearing a wafer; the electronic horizontal monitoring device is arranged on the manipulator wafer bearing device and is used for monitoring the horizontal state of the manipulator wafer bearing device; the horizontal adjustment transmission plate is used for transmitting and adjusting the horizontal position of the wafer bearing device of the manipulator; and the horizontal self-adjusting device is used for adjusting the balance state of the horizontal adjusting transmission plate based on feedback data of the electronic horizontal monitoring device so as to ensure that the manipulator wafer bearing device is in a horizontal state. Automatic horizontal adjustment of the manipulator is achieved through the horizontal self-adjustment device, the problem of inaccuracy in the manual adjustment process is solved, the accuracy and efficiency of horizontal monitoring adjustment are improved, and powerful technical support is provided for stable operation of the manipulator.

The invention discloses a map moving track deviation correction method and system, belongs to the technical field of electronic maps, and aims to solve the technical problems that in the prior art, deviation exists in GPS track data, so that position information in map application is not accurate, and the map moving track deviation is not accurate. According to the technical scheme, the method comprises the following steps: data acquisition: receiving original latitude and longitude coordinate data and sensor data from a GPS satellite; data preprocessing: denoising and missing value processing are performed on the original GPS trajectory data, and the data quality is improved by using a Kalman filtering algorithm; feature extraction: extracting spatio-temporal features from the preprocessed data; constructing a deep learning model: constructing a deep neural network model for learning the spatial pattern and time sequence features of the trajectory data; the deep learning model inputs the spatial pattern and the time sequence characteristics of the trajectory data, and outputs the trajectory point coordinates after deviation correction; training and optimizing; correcting deviation in real time; and dynamically adapting.

The invention relates to the technical field of carbon footprints, and provides a water chilling unit operation stage carbon footprint calculation method and device. The method comprises the steps of determining indoor cooling and dehumidification demand characteristics of a building based on outdoor temperature and humidity conditions of the building; based on the product performance curve of the water chilling unit, cold supply characteristics of the water chilling unit in the operation stage are determined; and carrying out supply-demand matching on the indoor cooling dehumidification demand characteristics and the cooling characteristics to obtain the annual carbon footprint of the water chilling unit in the operation stage. On one hand, carbon footprint calculation can be carried out based on the actual cooling and dehumidification function of the water chilling unit in the operation stage, the problem that carbon footprint calculation is inaccurate only by considering the outdoor temperature is avoided, and on the other hand, the method can be used for predicting and evaluating different climate regions, different buildings and different types of water chilling units in the design stage of the water chilling unit. According to the carbon footprint in the operation stage of the water chilling unit, the problem that a post-evaluation calculation mode based on a unified standard cannot guide design and model selection is solved.

The invention provides a method and a device for measuring a dielectric constant of a storage bubble of an atomic clock. The method comprises the following steps: starting a device for measuring the dielectric constant of an atomic clock storage bubble to obtain the actually measured resonant frequency of an atomic clock cavity bubble system; constructing a simulation model according to the state parameters of the cavity bubble system; parameter scanning analysis is carried out according to the simulation model, and a relation image of the storage bubble dielectric constant and the cavity bubble system simulation resonant frequency is obtained; determining the dielectric constant value of the storage bubble according to the measurement frequency and the simulation frequency on the relation image; the position of the tuner and the environment temperature are changed, the measurement accuracy can be improved through multiple times of measurement statistical averaging, and the relation between the dielectric constant of the storage bubble and the temperature can be analyzed. The method solves the problem that a conventional method for measuring the dielectric constant by adopting a calculation formula for inversion is lack of flexibility and has certain limitation. The method is of great significance to the optimization design of a high-performance cavity bubble system, the improvement of the temperature frequency characteristic of the atomic clock and the promotion of the development of a small light-weight active atomic clock.

The invention provides a method and device for predicting the glass transition temperature of a polymer and electronic equipment, and the method comprises the steps: obtaining a plurality of molecular descriptors of the polymer, obtaining an original database of the characteristic parameters of the polymer, and enabling the molecular descriptors to be used for representing the glass transition temperature distribution of the polymer, the characteristic parameter and the distribution of the polymer glass transition temperature have a preset relationship; according to the feature engineering, removing a plurality of feature parameters in the original database to obtain an optimized database; and constructing a deep learning model at least according to the characteristic parameters in the optimization database, determining a mapping relationship between the characteristic parameters of the polymer and the glass transition temperature according to the deep learning model, the characteristic parameters and an SHAP analysis method, and predicting the glass transition temperature of the polymer according to the mapping relationship. The problem of inaccurate polymer prediction results in the prior art is solved.

The invention provides a method and a device for determining parameters of a water environment model. The method comprises the following steps: acquiring pollutant data of a target river network, and constructing a water environment model of the target river network based on the pollutant data, water passing area data, hydraulic radius data, section flow data, water level data and flow distance data of the river network. And acquiring first-class water quality concentration data and second-class water quality concentration data at the water quality monitoring section. And with the minimum error between the water quality index simulation value and the field measured value as the target, continuously adjusting the parameters of the water environment model through the first type of water quality concentration data on the basis of the determined water level until a cut-off condition is reached. And verifying the parameter by using the second type of water quality concentration data to obtain a verification result. And if the verification result meets a preset condition, determining that the water environment model parameters are determined. According to the method provided by the invention, the parameters of the water environment model can be accurately determined.

The invention discloses a sewage pipeline BOD biological action degradation amount detection method and system based on an SWMM model. The method comprises the following steps that a sewage pipe network model of a to-be-detected area is established in the SWMM model; arranging a plurality of monitoring points in an inspection well of the sewage pipeline in the to-be-detected area, and acquiring flow data, flow velocity data and liquid level data of the plurality of monitoring points; the flow data and the liquid level data are input into the sewage pipe network model, and the average wetted perimeter area of each pipe section in the monitoring time period is obtained; at least one pipe section is selected, and the methane yield and the hydrogen sulfide yield of the pipe section are obtained based on the average wetted perimeter area of the pipe section; and calculating the BOD biological action degradation amount of the sewage pipeline based on the methane yield, the hydrogen sulfide yield and the average wetted perimeter area of each pipe section. The method solves the problem that a current calculation method for the BOD biological action degradation amount of the sewage pipeline is not accurate.

The invention belongs to the technical field of power robots. The invention provides an active acquisition robot system and method for a transformer oil sample. The system comprises an oil taking tank and an oil taking robot, the oil taking tank comprises an oil taking tank body and an oil sample extracting device located in the oil taking tank body, and the oil taking robot comprises a robot chassis and an automatic docking device arranged on the robot chassis; the oil sample extraction device comprises an injector rotating mechanism, a plurality of injectors for oil sample extraction are arranged on the injector rotating mechanism, the automatic docking device comprises a telescopic mechanism and a grabbing mechanism located on the telescopic mechanism, and the grabbing mechanism is used for taking out the injectors from the oil extraction tank body; potential safety hazards caused by frequent oil way butt joint are avoided, and the oil extraction efficiency is greatly improved.

The invention discloses a chip ID layout determination method and device, equipment and a storage medium, and the method comprises the steps: selecting a plurality of non-test chips located in a wafer boundary line from a chip arrangement layout as target chips, and determining the first position coordinates of a plurality of target chips; selecting a reference chip from the plurality of target chips, and determining the offset of the reference chip relative to the origin of the coordinate system; correcting the position coordinates of the plurality of target chips based on the offset; based on the size of each chip and the corrected position coordinate, determining a chip ID coordinate code of each chip; determining a third position coordinate of the chip ID coordinate code of each chip based on the first position coordinate and a preset code movement amount; and generating a chip ID layout based on the chip ID coordinate code corresponding to each chip and the third position coordinate of each chip. According to the method, efficient, accurate and automatic determination of the chip ID layout can be realized.

The invention discloses a sample verification method, electronic equipment, a storage medium and a program product. The method comprises the following steps: acquiring a to-be-verified evolution sample; performing differential analysis of questions and answers on the basis of the seed sample and the generated sample of the to-be-verified evolution sample, and determining sample change in the evolution process; performing causal effect evaluation on the evolution process according to the sample change to determine a first causal effect evaluation result, performing analysis based on the evolution instruction of the to-be-verified evolution sample and the sample change, performing causal effect evaluation on the evolution process according to the evolution instruction to determine a second causal effect evaluation result; according to the first causal effect evaluation result and the second causal effect evaluation result, the verification result of the to-be-verified evolution sample is determined, the problem that the verification result is inaccurate is solved, and the accuracy and reliability of logic verification are improved by identifying and analyzing the complex causal relationship among the question, the answer and the evolution instruction; the method adapts to different evolution instructions, and verification is more flexible.

The invention relates to the technical field of information processing, and discloses a medical information integration processing method comprising the following steps: 1, receiving medical information; 2, analyzing the medical information; step 3, secondary re-checking is carried out; step 4, generating review form information; 5, integrating examination form information; and step 6, generating medical display information. Data from different systems are converted into a unified internal format by using a data adapter or a converter, the compatibility of the data is ensured, then the accuracy of information extraction is improved through a machine learning model and a natural language processing technology, and secondary rechecking is performed by using a verification rule and a data integrity check algorithm, so that the accuracy of information extraction is improved. The method ensures the accuracy and integrity of data, and achieves the beneficial effects of compatibility of information data of an electronic medical record system, an image system and a laboratory during data integration, and avoidance of data loss.

The invention relates to the technical field of operation identification, in particular to a medium-voltage power distribution network transfer operation identification method, system and device. The method comprises the following steps: acquiring feeder line real-time data and transformer area real-time data; performing data preprocessing on the feeder line real-time data and the transformer area real-time data to generate a transformer area feeder line processing data set; acquiring a power grid historical data set; performing two-dimensional curve fitting analysis on the power grid historical data set and the area feeder line processing data set to generate area feeder line two-dimensional fitting data; carrying out abnormal and disharmony area judgment on the two-dimensional fitting data of the feeder line in the transformer area, and generating load fluctuation voltage abnormal data; therefore, through a data-driven multi-level analysis and judgment method, the problems of dependence on artificial experience, response lag and the like in the traditional power grid transfer operation are solved, and the intelligent level and decision accuracy of the medium-voltage power distribution network transfer operation are improved.

The present invention relates to data display technology, and discloses a method for adding work order labels, including: determining the work order types included in the original work order set according to the non-standard labels of the original work order, after receiving a request instruction to add labels to the work order to be labeled, generating a label selection page for the work order to be labeled according to the non-standard labels and the work order type, detecting the number of labels selected by the user in the label selection page and the selected target work order type, and generating an original label word cloud map of the work order to be labeled, detecting the target label selected by the user in the original label word cloud map, and adding the target label as the standard label of the work order to be labeled. In addition, the present invention also relates to blockchain technology, and the original work order can be obtained from a node of the blockchain. The present invention also proposes a work order label adding device, an electronic device, and a computer-readable storage medium. The present invention can solve the problem of inaccurate labeling of work orders.

This application provides an action determination method and apparatus, a robot system, a storage medium, and an electronic device, relating to the field of robotics. The method includes: acquiring task instructions and multi-view image data, wherein the multi-view image data includes image data collected by the robot from M views, where M is an integer greater than or equal to 2; determining a feature set based on the multi-view image data, wherein the feature set includes a semantic feature subset, a geometric feature subset, and a three-dimensional spatial feature subset corresponding to the M views; and determining the robot's execution action based on the feature set and the task instructions. This solves the problem of inaccurate robot execution actions in related technologies, enabling action generation based on accurate three-dimensional spatial understanding and improving the accuracy of execution actions.

The invention discloses a remote pulse rate measurement system based on video images, and relates to the field of image communication technology. The remote pulse rate measurement system based on video images includes a video acquisition module, an image stabilization processing module, a motion correction algorithm module, and a real-time feedback and correction module. The acquisition module is used to acquire original image contrast, original sharpness, and original noise level parameters, capture continuous high-resolution video frames, and record the number of original video frames; the stabilized image processing module is used to analyze high-resolution video frames through a convolutional neural network model to predict pixel-level motion vectors, obtain predicted motion vectors, and obtain motion evaluation image stabilization evaluation values ​​through comprehensive analysis. Then, corresponding optimization measures are taken to solve the problem that motion artifacts caused by the head movement of the detected object or the movement of the camera affect the accuracy of pulse rate measurement.

The present application provides a wafer sample analysis method and device. The method is applied to a secondary ion mass spectrometer, and includes: providing a wafer sample, the wafer sample includes at least one bevel, the bevel is used to expose a substrate, a first protective layer and a first doping layer on the same surface, wherein the first protective layer is formed on the substrate, and the first doping layer is formed on the first protective layer; obtaining a bevel image of the bevel and analyzing the bevel image to obtain the doping depth and doping concentration of the elements in the wafer sample in the bevel image. The wafer sample analysis method and device provided in the present application solve the problem of inaccurate analysis results in existing methods for analyzing elements in wafers.

The present invention relates to the technical field of performance testing, and in particular to a bicycle saddle fatigue testing device. The device adds a posture adjustment module and a pressure module control module on the basis of a traditional saddle fatigue testing device. The rotation shaft structure in the posture adjustment module can change the posture of the saddle base through operation. The pressure module control module takes into account the irreversible deformation of the saddle during the test, determines the time to be controlled by detecting the time when the irreversible deformation occurs, and increases the pressing depth of the pressure module according to the chaos of the surface deformation at the time to be controlled. The present invention can simulate the changes in the center of gravity of the human body during the use of the saddle, improve the reference of the scene simulation, and realize adaptive adjustment of the pressing depth, avoiding the problem of inaccurate test results caused by a relatively small pressing depth.

The invention relates to the technical field of physical sensors, and provides a wire harness detection method and system for a washing machine, and the method comprises the steps: collecting a current signal and the temperature of a wire harness through an electrical sensor, and obtaining a current signal sequence and a current data set; acquiring a temperature compensation current sequence according to the current data set; obtaining an amplitude jump coefficient of the temperature compensation current according to the temperature compensation current sequence; acquiring a frequency spectrum diversity index of the temperature compensation current according to the temperature compensation current sequence; acquiring noise compensation current according to the spectrum diversity index and the temperature compensation current sequence, acquiring a noise compensation current sequence according to the noise compensation current, acquiring suspected abnormal current according to the value of the noise compensation current, and detecting the wire harness of the washing machine according to the number of the suspected abnormal current and the noise compensation current sequence. The problem that the wire harness detection result is inaccurate is solved.

The invention discloses a progressive ballistocardiogram signal-based identity database construction method, an identity recognition method and device and a storage medium, and belongs to the technical field of biological recognition. The method comprises the following steps: collecting ballistocardiogram signals of a plurality of users, and storing the ballistocardiogram signals in a two-tuple of time and amplitude to obtain original signals; the original signals are preprocessed, and invalid signal segments are removed; performing signal decomposition on the preprocessed signal by using a plurality of time sequence prediction modules, and extracting cardiac beat signal segments; performing random masking and signal reconstruction on the heart beat signal to obtain an intermediate feature vector, and performing comparative learning and metric learning based on the intermediate feature vector to obtain an identity feature vector of the user; and taking the feature vector set of each user as a cluster, determining the center of each cluster, and constructing a target identity database. And an efficient, accurate and stable sign state monitoring algorithm is realized, so that accurate and efficient identity recognition is realized.

The invention relates to an intelligent engineering cost prediction method and device based on a long short-term memory neural network, and the method comprises the following steps: obtaining the engineering cost data of a power grid project, carrying out the standardization, and dividing the data into a training set and a verification set; obtaining a plurality of orders of cost mode components based on variational mode decomposition; constructing a time window, and performing time serialization on the cost modal components of the plurality of orders to obtain an input vector; constructing a long short-term memory neural network model, and enabling the input vector to pass through a preset LSTM layer from positive and negative directions to obtain an output sequence; initializing the long-short-term memory neural network model, and performing model training to obtain a final project cost prediction model; and inputting to-be-predicted project cost data into the project cost prediction model to obtain a plurality of prediction sequences of different frequencies, and visualizing the plurality of prediction sequences of different frequencies into a time curve to obtain a project cost prediction result. According to the invention, the problem of inaccuracy of the current cost prediction method is solved.

The invention relates to a medical data processing method and system, computer equipment and a storage medium, and the method comprises the steps: obtaining input information and medical data information corresponding to the input information; based on a preset thinking chain template, processing the input information and the medical data information to obtain an initial output result; further, according to the initial output result, the thinking chain template is adjusted until the input information and the medical data information are processed based on the adjusted thinking chain template, and an output result meeting the rationality requirement is obtained; the rationality requirement is used for indicating that the output result needs to accord with preset medical knowledge information. Through the data processing method and device, the problem that the output result is inaccurate due to the lack of understanding of the deep meaning of the data is solved, the deep meaning of the data is understood in the data processing process, and the accuracy of the output result is improved.

The application provides a filter rod manual arranging method based on WMS, which comprises the following steps: reading the RFID tag of the filter rod by the RFID data reading and writing device to obtain the label information of the filter rod; judging whether the label information corresponding to the scanned filter rod exists in the filter rod high-bay warehouse WHS; if yes, returning the tray number from the WHS system; if no, storing the physical information in the feedback label according to the set coding, and performing the flat warehouse warehousing in the WHS system according to the physical information, wherein the physical information comprises the brand, the production machine, the production time, the shift and the shift. The application can improve the traceability efficiency of the cigarette filter rod quality and reduce the traceability cost.

The embodiment of the present application discloses a method, device and medium for counting goods at a retail end, which belongs to the technical field of goods counting and solves the problem of low accuracy and efficiency of goods counting. The shelf information and goods information entered by the retail end shop are obtained to construct a goods counting template; the information to be counted is received, and the corresponding goods category library is determined based on the information to be counted, and in the goods category library, the goods information to be counted and the goods information in the goods counting template are matched for goods association; based on the goods category corresponding to the information to be counted, the corresponding inventory statistical unit is determined, and based on the information to be counted, the goods association matching result and the inventory statistical unit, the goods inventory data is generated in the goods inventory template; the goods inventory data is audited, and the goods inventory data is adjusted based on the audit result; based on the audit result and the adjusted data, the goods loss of the retail end shop is determined to assess the retail end shop based on the goods loss.

The invention relates to the technical field of computers, and provides an exception warning method, an exception warning device, a computer storage medium and electronic equipment, and the exception warning method comprises the steps: obtaining a cost deviation data sequence according to the cost deviation data corresponding to each moment in a plurality of moments of a service; the multiple moments comprise a current moment and N historical moments before the current moment; the cost deviation data is used for representing the deviation between the actual cost and the standard cost of the business at each moment; n is an integer greater than 0; performing stability analysis on the cost deviation data sequence to determine whether the cost deviation data of the service at the current moment belongs to abnormal fluctuation data; and if the cost deviation data of the service at the current moment belongs to the abnormal fluctuation data, outputting abnormal alarm information. According to the method disclosed by the invention, the business cost can be managed and controlled in time.

The invention discloses a text annotation correction method, device and system based on artificial intelligence and a medium, and the method comprises the steps: obtaining tags of a plurality of annotation personnel annotating the same text data set, and constructing a subjective prejudice detection model according to the tags; vectorizing the label of each labeling person, inputting the vectorized label into a subjective prejudice detection model, and predicting a subjective prejudice matrix of the labeling person; and subtracting the subjective bias matrix from the coding matrix converted from the label to obtain a labeling result after correcting the subjective bias of the labeling personnel. According to the method and the device, the problem that a trained artificial intelligence model is inaccurate due to the fact that manual annotation data for training supervised artificial intelligence has subjective deviation of annotation personnel can be solved, interference of the subjective deviation of the annotation personnel on an annotation result can be remarkably reduced, and the annotation result is more accurate and fair.

The invention relates to the related field of ocean exploration and data acquisition, in particular to a seabed-based positioning time service and data recovery system and method, which realize accurate positioning and time service, flexible data acquisition and recovery and intelligent system maintenance through a multifunctional module stably deployed on a seabed-based platform. The data acquisition module can efficiently acquire marine environment data according to a preset frequency, and the marine environment data is compressed and stored through the data processing module. The data recovery module supports a plurality of modes such as acoustics, optical communication and buoy transmission, and ensures the integrity and safety of data. The system has high stability, expansibility and long-time autonomous operation capability, is suitable for various complex marine environments, and provides technical support for marine scientific research, resource exploration and environment monitoring.

The application discloses a kind of line laser 3D camera and mechanical arm's eye calibration system and method, belong to industrial manufacturing and automation control technical field, including calibration board, line laser 3D camera and mechanical arm, the line laser 3D camera is connected with the mechanical arm, the calibration board is composed of calibration ball, connecting rod and mounting plate, single frame data of the line laser 3D camera shooting is solved by single frame data solution calibration board pose algorithm.The application uses above-mentioned line laser 3D camera and mechanical arm's eye calibration system and method, calibration board and single frame data solution calibration board pose algorithm can solve the attitude of calibration board in camera coordinate system according to line laser 3D camera single frame data, and then by shooting multiple frame data and combining the posture information of mechanical arm under each frame image, the conversion relationship between camera coordinate system and mechanical arm coordinate system can be solved without camera size and installation information, to solve the inaccurate problem caused by machining and installation error.

The application relates to a finger automatic polishing method and device, and relates to the technical field of locomotive maintenance. The finger is placed in a 3D visual identification area, 3D visual identification is carried out on the finger, the shape characteristics of the finger are fitted according to the 3D visual identification result, the state of the finger is judged according to the shape characteristics, the polishing amount is calculated according to the shape characteristics and the state of the finger, the polishing amount information is transmitted to a polishing system for polishing, the problems that exist in the current finger polishing process, such as inaccurate judgment, high work intensity, time and labor consuming and difficult polishing effect guarantee, are solved, the automatic operation of the finger polishing is realized, the shape characteristics of the finger can be accurately identified through the 3D visual detection system, the problem of inaccuracy caused by the human eye observation is solved, the detection accuracy is effectively improved, and the polishing effect is guaranteed.

The present invention provides a method for fine modeling of underground structures based on laser radar scanning, including: S1, collecting point cloud data and feature point data of underground structures; S2, preprocessing the data; S3, evenly selecting a number of feature check points in the feature point data to complete the precision analysis of the point cloud data; S4, voxelizing the three-dimensional point cloud and constructing multi-scale geometric features; S5, if the underground structure is an underground cave scene, removing internal dynamic objects; axial orientation and completing cross-section extraction and smoothing; completing triangulation and model generation; S6, if the underground structure is an underground artificial scene, extracting building faces; removing internal dynamic objects and face screening; completing triangulation and model generation. The present invention can effectively realize the accurate reconstruction of underground structure models, and provides a technical basis for solving the problems of low automation and complex procedures in three-dimensional reconstruction of underground scenes.