26results about How to "Improve the determination accuracy" patented technology

The invention relates to the field of material sorting, in particular to a material sorting method, a material sorting device, material sorting equipment and a storage medium. The material sorting method is applied to the material sorting equipment and comprises the steps that fixed-point scanning is conducted through a ray scanning device, and a ray projection image of a material is obtained; performing first processing on the ray projection image, and determining plane contour information of the material; point cloud data of the materials in the transmission process are collected from the positions above the materials through a laser radar; matching the point cloud data with the plane contour information, and determining target point cloud data corresponding to the material in the point cloud data; determining a target gravity center position of the material based on the target point cloud data; the sorting device sorts the materials according to the target gravity center position. Errors possibly caused by a single scanning mode can be reduced, the determination accuracy of the target gravity center position is improved, and therefore the material processing time is shortened, and the sorting efficiency is improved.

The embodiment of the invention provides a defect detection device and method, a photoetching machine, equipment, a medium and a program product, the defect detection device is used for detecting defects of a thin film arranged on a photomask, and the defect detection device comprises a detection module used for bearing the photomask and scanning the thin film on the photomask, the defect information comprises the number of defects and coordinate values corresponding to the defects; the light source is used for providing illumination light for the photomask; the acquisition module is arranged along a transmission path of the illumination light through the photomask or a reflection path of the thin film, and is used for acquiring a sampling image at least comprising the thin film when the photomask is irradiated; and the processor is electrically connected with the detection module and the acquisition module and is used for determining the type of the defect according to the defect information and the sampling image. By adopting the technical scheme, the determination precision of the defect type can be improved.

The invention provides a large-thickness electron beam weld defect repair welding spot X-ray positioning method which comprises the following steps: S1, adopting vertical transillumination for the first time to find defects; s2, selecting a heavy metal marker and arranging; s3, preliminarily positioning the relative position of the marker and the defect; s4, performing primary iterative positioning; s5, iterating for multiple times until the relative positions of the positioning marker and the defect are adjusted; s6, carrying out oblique incidence and transillumination arrangement; s7, picking off the film; s8, washing the film; s9, the position of a repair welding spot and the repair welding depth are measured and calculated; and S10, ending the detection. According to the X-ray positioning method for the repair welding spot of the large-thickness electron beam welding seam defect, a heavy metal marker selection method and an oblique incident ray defect positioning method are arranged, so that rapid and accurate positioning of repair welding of the large-thickness electron beam welding seam defect is realized.

The invention relates to the field of network live broadcast, and discloses an audio visualization control method and device, equipment and a medium, and the method comprises the steps: tracking and determining the spectrum information of each audio frame in an audio stream of a live broadcast room in real time, and determining the energy change rate of each audio frame; corresponding to each current audio frame, determining whether the current audio frame has candidate beat points or not based on the energy change rate of the current audio frame; for each current audio frame, determining an ideal beat point based on an energy change sequence formed by the energy change rates of all the current and previous audio frames; and judging whether the candidate beat point belongs to an actual beat point or not by using the ideal beat point, so that the actual beat point is used for driving the live broadcast room to play the audio visual special effect. By analyzing the energy change rate of the audio stream in real time, accurate beat point detection is realized, an audio visualization effect can be presented more accurately, and the interactive experience and immersion of a user in a live broadcast environment are effectively improved.

The invention provides a rock uniaxial compression damage threshold determination method based on remarking range analysis, and the method comprises the steps: synchronously collecting rock acoustic emission signals in the process of carrying out a uniaxial compression test on rock, and obtaining a rock acoustic emission signal time sequence; analyzing the rock acoustic emission signal time sequence to obtain a Hurst index time sequence; the Hurst index time sequence is subjected to fitting, and a Hurst index change curve is obtained; the peak point of the Hurst index change curve is determined, and the rock loading stress corresponding to the peak point during the uniaxial compression test is the determined rock uniaxial compression damage threshold value. According to the method for determining the rock uniaxial compression damage threshold value based on the remarking range analysis, provided by the invention, through experimental verification, the determination precision of the rock damage threshold value can be improved, so that the requirements of high-precision application occasions are met.

The present specification discloses a method and device for positioning a geomagnetic adaptation area for geomagnetic navigation, specifically comprising: determining a geomagnetic feature map corresponding to the target area according to the geomagnetic information map corresponding to the target area. The geomagnetic feature map is input into a scale division model, and a geomagnetic feature map corresponding to the geomagnetic information map at each image resolution is generated by the scale division model. For each scale feature map, a candidate geomagnetic adaptation area in the target area at the corresponding image resolution is determined. According to each candidate geomagnetic adaptation area, the geomagnetic adaptation area of ​​the target area is determined. Compared with the current technology of manually determining the geomagnetic adaptation area, the method of the present specification is more intelligent and more automated. While the efficiency and accuracy of determining the geomagnetic adaptation area are improved, the consumption of human resources and time costs is also greatly saved, so that the execution efficiency of subsequent geomagnetic route planning based on the geomagnetic adaptation area is also improved.

The invention relates to the technical field of equipment performance testing, and discloses a metallized film capacitor self-healing voltage information feature extraction method and system, and the method comprises the steps: obtaining voltage measurement information corresponding to a to-be-analyzed target capacitor which is a metallized film capacitor; the voltage measurement information is used for determining self-healing information of the target capacitor; according to a preset feature extraction process, performing target data processing on the voltage measurement information to obtain a target data processing result corresponding to the voltage measurement information; wherein the target data processing at least comprises signal decomposition aiming at the voltage measurement information and feature extraction based on a preset feature extraction function; the target data processing result comprises self-healing feature information corresponding to the target capacitor. Therefore, the feature extraction efficiency and the feature extraction accuracy of the self-healing information corresponding to the capacitor can be improved.

The embodiment of the application discloses an image processing method, according to the classification label obtained by performing semantic segmentation on the to-be-processed image, determining the subject region, the edge undetermined region and the background region corresponding to the target object in the to-be-processed image, setting the identification value of the subject region as a first identification value, and setting the identification value of the background region as a second identification value. According to the pixel points adjacent to the edge undetermined region in the subject region and the background region, the pixel feature similarity between the pixel points in the edge undetermined region and the adjacent pixel points is calculated, and according to the similarity calculation result and the first and second identification values, the identification value of the pixel points in the edge undetermined region is determined. The closeness of the identification value to the first identification value and the second identification value can determine whether the pixel points belong to the target object, so that the edge part of the target object can be accurately determined, the determination accuracy of the region where the target object is located in the to-be-processed image is improved, and the image background removal scene with high precision requirement is suitable.

The invention provides a charging strategy determination method, device and equipment, and the method comprises the steps: obtaining an initial charging strategy of a to-be-detected battery at a target temperature and a plurality of preset temperatures, and the plurality of preset temperatures are lower than the target temperature; for any first initial charging strategy in the plurality of initial charging strategies, determining a plurality of battery temperatures of the to-be-tested battery in the charging test process of the to-be-tested battery in the formulating process of the first initial charging strategy; according to the first initial charging strategy, charging parameters corresponding to the multiple battery temperatures are determined; and based on the target temperature, determining an actual charging strategy of the to-be-detected battery at the target temperature according to the charging parameters corresponding to the plurality of battery temperatures. The determination accuracy and safety of the battery charging strategy can be improved, and the battery use risk such as lithium precipitation can be reduced.

The application discloses a precoding matrix determination method, device and equipment and a storage medium. The method comprises the following steps: sending a first instruction to a terminal; the first instruction is used for instructing the terminal to report at least a first matrix; the first matrix is used for determining a precoding matrix; receiving a first uplink reference signal sent by the terminal; obtaining a prediction result by using the first uplink reference signal and a pre-trained neural network model; the prediction result comprises a first downlink channel matrix between a network device and the terminal; and determining the precoding matrix based on the first downlink channel matrix.

The present invention discloses a method, device and storage medium for determining the isocenter of an electron linear accelerator, which relates to the field of medical information technology, and is mainly capable of improving the accuracy and efficiency of determining the isocenter of an electron linear accelerator. The method includes: determining the first radiation field axis corresponding to the beam limiting device based on the rotation trajectory corresponding to a preset marker that rotates with the beam limiting device; determining the second radiation field axis corresponding to the beam limiting device when the frame is at each first rotation angle based on the first position relationship between the center of the preset marker and the first radiation field axis; determining the circumscribed spheres corresponding to multiple first reference points respectively; and determining the isocenter position of the electron linear accelerator based on the multiple circumscribed spheres. The present invention is suitable for determining the isocenter position of an electron linear accelerator.

The invention discloses a nonmetal pipeline detection positioning device, method and system, and the positioning device integrates a sound generation device, a sound pickup, a main controller and the like through a detection box body, and an operator can carry one detection box body to carry out the detection work of a nonmetal pipeline. The sound generating device and the sound pick-up are used in cooperation, the position of the non-metal pipeline can be accurately determined by emitting the sound with the specific frequency and receiving the echo generated after the sound is transmitted in the non-metal pipeline, and the mode based on sound transmission is not limited by the non-conductive and non-magnetic characteristics of the non-metal pipeline; and the problem of non-metal pipeline detection can be effectively solved. The display device is installed on the detection box body and can display the position information of the nonmetal pipeline in real time. The main controller accurately analyzes and processes sound signals sent by the sound generating device and echo signals received by the sound pick-up, specific signals related to the non-metal pipeline are extracted, and the detection accuracy is improved.

The present application relates to a method, device, computer equipment, storage medium and computer program product for determining the power supply status of a graphics processor. The method comprises: obtaining the real-time workload of the graphics processor; if it is determined based on the real-time workload that the power supply adjustment condition is met, then determining the initial update power supply status based on the real-time workload and the inspection window workload, wherein the inspection window workload is the workload within a selected preset time period; obtaining the historical power supply status of the graphics processor; and determining the target power supply status of the graphics processor based on the initial update power supply status, the historical power supply status and the current working mode of the graphics processor. The use of this method can improve the accuracy of determining the power supply status of the graphics processor.

The present invention discloses a charging method and system for charging piles based on power analysis, which relates to the technical field of fee metering, including obtaining the charging amount, the initial power of the charging pile, and the unit price corresponding to the charging power; obtaining the predicted charging time. The present invention determines the predicted charging time by analyzing the charging amount and the initial power of the charging pile, and evenly divides the predicted charging time into several groups of deduction windows. When the real-time charging time is consistent with the time length of the deduction window, the maximum charging power and the minimum charging power are obtained, and the maximum charging power and the minimum charging power are corrected in combination with the duration of the maximum charging power and the minimum charging power, and a more accurate window deduction power is determined. The charging amount is deducted according to the window deduction power, thereby improving the billing accuracy. In addition, the predicted charging time is corrected by the window deduction power to ensure that the user can obtain the accurate time when the charging is completed.

The embodiment of the application provides a kind of target event determination method and device, storage medium, electronic equipment, wherein, the method comprises: abnormal detection is carried out to the index to be detected, determines the abnormal interval of the index to be detected, the first time series data of the index to be detected in abnormal interval, and further determine the second time series data of the multiple candidate root cause events of the index to be detected in abnormal interval, that is, abnormal interval can be used as the analysis center, and first time series data, second time series data are combined to carry out root cause analysis from multiple root cause analysis dimensions respectively, determine the analysis result of multiple candidate root cause events in multiple root cause analysis dimensions respectively, finally, target root cause event is determined by the analysis result of multiple root cause analysis dimensions, since root cause analysis focuses not only on abnormal interval, but also combines multiple root cause analysis dimensions, so as to effectively improve the determination accuracy of target root cause event.

The application discloses a parameter budget range determination method and device, a storage medium and computer equipment, relates to the high-resolution imaging system budget decomposition technical field, and is applied to a photoetching system. The method comprises the following steps: obtaining a test photoetching parameter, wherein the test photoetching parameter comprises a line width parameter and a period parameter; inputting the line width parameter and the period parameter into a pre-trained classification model; determining a target negative result farthest from a classification boundary of the classification model in negative results output by the classification model, and determining a line width parameter and the period parameter corresponding to the target negative result; and determining a parameter budget range of the photoetching system according to the line width parameter, the period parameter corresponding to the target negative result and the classification model. The above method can significantly improve the determination precision of the parameter budget range of the photoetching system.

This application provides a method, apparatus, device, and storage medium for determining inspection paths for devices. The method includes: determining alarm information and location information of alarm devices; wherein the alarm information characterizes the alarm status of the alarm devices; determining the inspection level of each alarm device based on its alarm information; wherein the inspection level characterizes the urgency of inspecting the alarm device; and determining an inspection path based on the location information and inspection level of each alarm device; wherein the inspection path characterizes the path taken from a preset starting point, passing through the alarm devices. This method, by combining the alarm information of each device, differentiates the urgency of inspecting these devices, thereby improving the accuracy of inspection path determination.

The invention provides a method and a device for determining mechanical parameters of a ceramic matrix composite material. The method comprises the following steps: acquiring a target genetic population of target mechanical parameters of a target material test piece; the target material test piece is a test piece prepared from a ceramic-based composite material; the target genetic population comprises a plurality of genetic individuals representing different candidate values of the target mechanical parameters respectively; for each genetic individual in the target genetic population, calculating a first resonant frequency of the target material test piece corresponding to the genetic individual based on the candidate value corresponding to the genetic individual by using the modal analysis model of the target material test piece; determining a target value of a target mechanical parameter of the target material test piece based on a target deviation between the first resonant frequency corresponding to each genetic individual and the second resonant frequency; the second resonance frequency is obtained by performing resonance test measurement on the target material test piece. The method can improve the determination precision of the mechanical parameters of the ceramic-based composite material.

The invention relates to the field of Bluetooth communication, in particular to a parameter correction method, an earphone, an audio playing method and system and a storage medium. The invention provides a parameter correction method, which is applied to wearable equipment and comprises the following steps: at a reference moment, respectively determining a first reference distance between first sound playing equipment and target equipment and a second reference distance between second sound playing equipment and the target equipment through a Bluetooth communication module; at the detection moment, a first detection distance between the first sound playing device and the target device and a second detection distance between the second sound playing device and the target device are determined through the Bluetooth communication module, and detection pose information of the wearable device is determined through the IMU; and correcting the null drift parameter of the IMU based on the first reference distance, the second reference distance, the first detection distance, the second detection distance and the detection pose information, so that the precision of determining the relative pose information by the IMU can be improved.

The invention discloses a high-frequency feedback problem acquisition method and apparatus, and a computing device. The method comprises the following steps: acquiring customer service session data in a first historical time period; for any customer service session data, inputting the customer service session data and the generated question label prompt word into a customer complaint big model, and obtaining a feedback question label of the customer service session data output by the customer complaint big model; and aggregating the feedback problem labels of the customer service session data in the first historical time period, and extracting a high-frequency feedback problem of the first historical time period according to an aggregation result. By adopting the scheme, the automatic generation of the high-frequency feedback problem can be realized, and the acquisition precision and the acquisition efficiency of the high-frequency feedback problem can be improved.

The invention discloses a method and device for determining the credit rating of an object, a processor and electronic equipment, and relates to the field of artificial intelligence. The method comprises the steps that an attribute information set of an object is acquired, the attribute information set comprises at least one piece of attribute information, and the attribute information is used for representing attributes associated with the credit rating of the object; determining target attribute information from the attribute information of the attribute information set; the target attribute information is input into a target prediction model in a target prediction model set for prediction, the initial credit rating of the object is obtained, the target prediction model is obtained by training the initial prediction model based on a sample attribute information set of a sample object, the sample attribute information set comprises at least sample attribute information, and the sample attribute information comprises at least one piece of sample attribute information; the sample attribute information is used for representing attributes associated with the credit rating of the sample object; a target credit rating associated with the initial credit rating is determined. According to the invention, the technical problem of low determination precision of the credit rating is solved.

The application relates to an aorta CT image center line determination method and system, electronic equipment and a computer readable storage medium, and relates to the field of CT image processing.The method comprises the following steps: inputting a three-dimensional aorta CT image to be detected into an aorta CT image key point detection model, and outputting a key point extraction result; the aorta CT image key point detection model is determined according to training of a U-Net network; the extracted key points are sequentially connected by using a progressive optimal fast random search tree algorithm; in the connecting process, a correction process is performed on sampling candidate points generated by random sampling; if the distance between the sampling candidate points located between two key points and any point outside the aorta is less than a set threshold value, an aorta inscribed sphere containing the sampling candidate points is formed, and the sphere center is taken as a connecting point between the two key points. The application improves the determination accuracy and efficiency of the aorta CT image center line.

This disclosure provides a method, apparatus, electronic device, and storage medium for detecting abnormal network behavior. The method includes: based on a target time period to be analyzed, determining a subset of group behavior features for each object group within the target object group during the target time period from a set of historical behavior features, wherein the set of historical behavior features characterizes the historical access behavior of objects in the target object group to at least one target system within a preset time interval; for any object group, determining candidate abnormal objects within the object group based on the subset of group behavior features of the object group; for any candidate abnormal object, determining a subset of object behavior features for the candidate abnormal object within the preset time interval from the set of historical behavior features; and determining a target abnormal object from at least one candidate abnormal object based on the subset of object behavior features of the at least one candidate abnormal object. This can improve the detection accuracy of abnormal network behavior.

The invention discloses a DEM-based determination method for design flood calculation parameters of a Huai Shanghai method, and the method comprises the steps: obtaining a target drainage basin and peripheral DEM data, calculating the water flow direction of each grid through a D8 algorithm, and generating a flow direction grid; determining a main stream position according to the flow direction grid; matching a net rain time period according to the drainage basin area A, and calculating net rain intensity i when net rain in the time period is 20mm; identifying the underlying surface type in combination with a satellite image, and matching the roughness values to form a roughness grid; estimating the flow velocity of each grid through a dynamic wave method; determining an isochrone; constructing an L-B curve and a tau-B curve; and determining core parameters of the Huai Shangshi method. The method has the advantages that the isochrone is determined based on the DEM, the isochrone calculation method is improved, the isochrone determination precision is improved, the L-B curve is reasonably determined, then standard, automatic and high-precision acquisition of seven core parameters of the Huai Shangzhou method is achieved, and the parameter determination efficiency and quality are improved.

The application provides a two-dimensional icon labeling method, system and device based on three-dimensional model feature recognition, which obtains model parameter information; extracts three-dimensional features of a target three-dimensional model in the model parameter information, determines the correlation of the three-dimensional features under multiple views based on a multiple view search method; selects an optimal projection direction according to the correlation to project the three-dimensional features to a virtual space plane, and determines shape information and size information of two-dimensional features; determines feature naming according to the matching relationship between the two-dimensional features and the counterpart information, and matches the two-dimensional features according to a preset industry rule to determine tolerance information; encapsulates the view position information, feature space position, tolerance information and feature naming corresponding to the two-dimensional features to generate a labeling data package; and optimizes the layout formed by the labeling data package to generate a two-dimensional icon. The application does not require manual intervention throughout, greatly reduces the labor cost and human error, and improves the labeling efficiency and quality.