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The disclosure provides a large model-based quality inspection method, device, equipment, storage medium and program, relating to the technical field of data processing, specifically relating to artificial intelligence, deep learning and large language model technology, which can be applied in the field of AI medical technology, wherein the method comprises: obtaining to-be-inspected data of a target platform and a target quality inspection prompt template; wherein the target quality inspection prompt template comprises quality inspection task instructions and quality inspection question classification content; splicing the to-be-inspected data and the target quality inspection prompt template to obtain a target quality inspection prompt; inputting the target quality inspection prompt into a target large model to automatically inspect the to-be-inspected data according to the target quality inspection prompt through the target large model, and obtaining first quality inspection data. The embodiment of the disclosure can reduce the artificial quality inspection cost of platform quality inspection and improve the efficiency and accuracy of platform quality inspection.

The application relates to the field of metal support polishing, in particular to an automatic polishing tool and polishing method for a metal support, the tool comprising a base, a rotating shaft, a motor, clamping members and a conductive wire, the rotating shaft being arranged on the base and capable of rotating relative to the base around a rotating shaft axis parallel to the vertical direction, the rotating shaft axis coinciding with the central axis of the rotating shaft; the two clamping members are sequentially arranged on the rotating shaft along the vertical direction and are relatively fixed with the rotating shaft; the conductive wire is used for clamping between the two clamping members, and in the clamping state, the part of the conductive wire between the two clamping members is arranged in parallel to the rotating shaft and is spaced apart from the rotating shaft in the radial direction of the rotating shaft; the application can reduce the consumption of polishing liquid and reduce the damage to the metal support.

The application discloses a lithology prediction method and device in a target area, equipment, a medium and a product. The method comprises the following steps: acquiring seismic data in a target area, and seismic data and well logging data of known wells in a research area; training an initial well velocity curve prediction model according to the seismic data in the research area and the well logging data of the known wells, to obtain a target well velocity curve prediction model; determining a plurality of virtual well simulation velocity curves according to the seismic data in the target area; inputting the virtual well simulation velocity curves into the target well velocity curve prediction model, to obtain actual velocity curves of the virtual wells; and determining a lithology prediction result in the target area according to the actual velocity curves of the virtual wells and the seismic data in the target area based on an inversion algorithm. The technical scheme can improve the lithology prediction accuracy.

This invention discloses a method, apparatus, device, and medium for malware detection based on subspace ensemble learning. The method includes: acquiring the installation package file of the software to be detected; parsing the installation package file to obtain the application programming interface (API) call relationships of the software to be detected; determining the API call relationship graph based on the API call relationships; filtering each API in the call relationship graph to obtain a target API set; and determining the software detection result of the software to be detected based on the target API set and a feature subspace ensemble learning model. This invention obtains the target API set by filtering the API call relationships and employs a feature subspace ensemble learning model composed of multiple machine learning algorithms, which can capture malicious behavior in software from different perspectives, thereby improving the accuracy of malware detection.

The application discloses a same-row relationship detection method and device, electronic equipment and a storage medium. The method comprises the following steps: obtaining target video data in a target place; determining a personnel pixel area in each image frame in the target video data, and determining a target height and / or a target body shape ratio of the personnel corresponding to the personnel pixel area; determining an anonymous identity of the personnel in the image frame based on a dynamic anonymous personnel name list corresponding to the target place and the target height and / or the target body shape ratio; and judging whether a first search personnel and a second search personnel are in a same-row relationship according to the anonymous identity information of the personnel in each image frame in the target video data. The scheme can efficiently and with low algorithmic consumption detect the anonymous identity of the personnel in each image frame in the video data, so as to accurately and quickly find out whether the two search personnel are in a same-row relationship according to the anonymous identity of the personnel.

The application discloses a device for measuring photochemical production rate of active gas in ambient atmosphere, and relates to the fields of atmospheric environment monitoring and automatic control. The device is composed of an air inlet module, a photochemical reaction device, a wideband high-precision cavity measurement system and a control system. The air inlet module injects pure ambient atmosphere or mixed atmosphere with added reaction gas into the photochemical reaction device; the photochemical reaction device is a place where the ambient atmosphere or the mixed atmosphere performs photochemical reaction to produce active gas; the wideband high-precision cavity measurement system samples the mixed atmosphere containing active gas and measures absorption photoelectric signals; and the control system receives the absorption photoelectric signals and performs calculation and processing to obtain the production rate of the active gas. The application has the advantages of automatically and quickly switching to measure the production rate of active gas under photochemical and non-photochemical conditions, and can accurately measure the production rate of active gas outdoors or in a laboratory.

The application discloses a corner reflector automatic inflation control system and method. The control system comprises a throwing device, a corner reflector device and a control device; the corner reflector device comprises an inflation module, a corner reflector, an acceleration detection module and a control module; the corner reflector device is arranged on the throwing device; the control device is used for controlling the throwing device to throw the corner reflector device to make the corner reflector device enter a free state according to a throwing instruction; the acceleration detection module is used for detecting an acceleration signal of the corner reflector device when the corner reflector device is in the free state; and the control module is used for receiving and outputting a switch delay signal to the inflation module according to the acceleration signal to make the inflation module delay inflate the corner reflector when the corner reflector device is in the free state.

The application discloses a preparation method of a silicon template of a diffraction optical waveguide. The method forms grating structures with different bottom heights directly on a silicon substrate through a photoetching process or forms the grating structures with different bottom heights by forming corresponding grating substances between pattern gaps of a template pattern film layer based on the template pattern film layer. Thus, the soft template formed after the transfer by the silicon template has the grating structures with the same top and different bottom heights. When the diffraction optical waveguide is formed by the transfer of the soft template, the grating heights of different grating regions on the diffraction optical waveguide are different, but the bottoms are the same. When the light is transmitted in the diffraction optical waveguide, the display effect of the diffraction optical waveguide is not affected by the different thicknesses.

A method, apparatus, device, storage medium, and program product for information presentation are provided. The proposed method includes: receiving a generation request, the generation request instructing an intelligent system to generate at least one visualization component corresponding to tabular data; and presenting analytical information, the analytical information instructing the intelligent system to create at least one visualization component in a component page, the analytical information including first information of the at least one visualization component, the first information indicating the layout attributes of the at least one visualization component in the component page.

This invention discloses a fall detection method, apparatus, device, and medium. The method includes: determining target noise point detection information corresponding to the target radar detection information of a target person based on personnel radar detection information detected by millimeter-wave radar and noise point detection information detected by an acoustic detection device; determining the detection mode of the target person based on the target radar detection information, and determining target detection information from the target radar detection information and target noise point detection information based on the detection mode; wherein the detection mode includes an obstruction mode, a stationary mode, and a motion mode; and detecting the fall state of the target person based on the target detection information. This invention uses a combination of millimeter-wave radar and acoustic detection for fall detection, enabling continuous fall state detection even when the target person is obstructed by objects indoors, improving the accuracy and efficiency of fall detection; and since both millimeter waves and acoustic waves are invisible waves, user privacy can be effectively protected.

This invention discloses a page processing method, apparatus, electronic device, storage medium, and product. The method includes: responding to a page interaction operation performed on a browser page; identifying at least one page interaction operation event triggered on the browser page through a pre-configured browser plugin and determining the voice content associated with the at least one page interaction operation event, wherein the voice content associated with the page interaction operation event is voice material related to the page interaction operation formed by synchronously providing voice explanation of the page interaction operation performed on the browser page; determining the DOM element positioning information corresponding to the at least one page interaction operation event; generating a target document based on the voice content associated with the page interaction operation event; and generating a target script based on the DOM element positioning information corresponding to the at least one page interaction operation event and the triggering order of the at least one page interaction operation event. This application solves the problem of low efficiency due to repetitive configuration during browser page configuration.

The application discloses a long-focus industrial lens. The long-focus industrial lens is arranged with a first lens group, a diaphragm, a second lens group and a third lens group arranged in sequence along an optical axis from an object plane to an image plane; the first lens group has positive refractive power, the second lens group has negative refractive power, and the third lens group has positive refractive power; and the refractive power of the first lens group, the second lens group and the third lens group is limited to meet a certain proportion range, so that the refractive power can be more reasonably shared, the correction of spherical aberration is facilitated, the incidence angle and the emergence angle of light are reduced without affecting the refractive power of the first lens group, the sagittal aberration is reduced, the correction of field curvature, astigmatism, distortion and chromatic aberration and other aberrations is realized, and finally a long-focus industrial lens scheme with low aberration and high resolution is realized.

Embodiments of the present disclosure disclose a method and device for scheduling vehicle charging. The specific implementation of the method comprises: in response to detecting that the number of idle vehicles is greater than a predetermined number, obtaining the current power and average task interval time of each idle vehicle; calculating the non-charging cost of each idle vehicle based on the current power of each idle vehicle; calculating the charging cost of each idle vehicle based on the current power and average task interval time of each idle vehicle; calculating the total cost of each idle vehicle based on the non-charging cost and charging cost of each idle vehicle; and sending a charging instruction to the predetermined number of idle vehicles with the highest total cost. This implementation considers the number of tasks and power to determine the priority of idle vehicles, thereby reducing the charging time of vehicles and improving system efficiency without interfering with business.

According to embodiments of this disclosure, a method, apparatus, and medium for pattern processing are provided. In the method, parameter information related to a lithography machine and a wafer in a lithography process is acquired. The lithography machine is used to form a wafer pattern on the wafer based on a target pattern. Based on the parameter information, a target state representation corresponding to the target pattern is determined from a plurality of candidate state representations indicating the electron beam scattering state. Based on the target state representation, a correction result for the target pattern is determined. In this manner, the state representation of the electron beam scattering state corresponding to the target pattern can be determined based on the parameter information of the lithography machine used and the parameter information of the wafer used for lithography, thereby simulating the lithography process more accurately. This ensures that the state representation used for lithography process simulation can more accurately describe the scattering state of the electron beam used by the lithography machine, improving the reliability of the simulation process and thus more accurately determining the correction result for the target pattern.

The utility model discloses a kind of plate shape detection devices, it is related to plate shape detection technical field.The device includes: base roll and flexible pressure-sensitive lining;The flexible pressure-sensitive lining is attached to the outer surface of the base roll, for real-time acquisition foil pressure distribution data;It can be convenient to collect the pressure data of different position regions of the foil needle to be detected to plate shape detection device.The scheme of the utility model, foil can be quickly and accurately detected to plate shape, provide help for ensuring the quality and performance of foil.

This invention discloses a charging station information processing method, display method, device, system, and storage medium. The method includes: acquiring an initial map containing charging station information; generating a polygonal grid for the initial map, wherein each polygonal grid contains charging station information for at least one charging station; filtering the charging station information in the polygonal grid based on the correlation between preset point positions and the positions of charging stations in the polygonal grid to generate display data for each polygonal grid; and sending the display data to a vehicle-mounted system for generating a charging station display layer when the vehicle-mounted system displays the map. The technical solution of this invention minimizes data loading and reduces the performance consumption of the vehicle-mounted system while ensuring a good user experience.

The application discloses a kind of fuel cell uninterruptible power supply system fault diagnosis method and storage medium.Therein method includes: obtaining the historical fault data and real-time operation data of fuel cell;According to historical fault data based on the hybrid model constructed in advance, determine the correlation coefficient threshold;According to real-time operation data based on the hybrid model constructed in advance, calculate actual correlation coefficient;According to the size relation of actual correlation coefficient and correlation coefficient threshold, determine whether fuel cell uninterruptible power supply system fails.Compared with traditional fault diagnosis method, the technical scheme provided in the embodiment of the application can more scientifically and efficiently determine the operating state of fuel cell UPS system, solves the problem that traditional fault diagnosis method depends on experience judgment and has certain limitations, leads to the poor reliability of fuel cell UPS system operation, effectively improves the reliability and safety of fuel cell UPS system operation.

This invention discloses a method, system, and storage medium for detecting the tilt of a vertical pump shaft. The method uses strain sensors to detect the strain of a first, second, and third circumferential surface of the vertical pump shaft, which are spaced apart along the axial direction. Based on the distance between these surfaces, a mechanical equation for the vertical pump shaft is constructed. The strain of these surfaces is then substituted into the mechanical equation to solve for the uniformly distributed load acting on the axial section of the vertical pump shaft. The tilt amplitude of the vertical pump shaft is calculated based on this uniformly distributed load. By installing strain sensors on the surface of the vertical pump shaft to collect the strain, the detection process does not require disassembly of the equipment or structural modifications to the vertical pump shaft, achieving non-invasive detection. This method is low-cost, easy to deploy, and can output the tilt amplitude of the vertical pump shaft, quantifying the tilt condition and facilitating maintenance decisions.

The application discloses a head-up display method, device, equipment, medium and product, the method comprises the following steps: according to the layout position of the orthoview posture stereoscopic model of each instrument information, real-time rendering and projection into the imaging element of the carrier, when the posture of the carrier is deflected, the model rotation is carried out on each orthoview posture stereoscopic model according to the posture deflection parameter, each rotated stereoscopic model is obtained, the target expansion area of the visual angle field is determined in each rendering level, and the layout position of the rotated stereoscopic model corresponding to each new instrument information in the target expansion area is determined. According to the real-time position information of the eyeballs of the eyes of the detected carrier driver and the layout position of all rotated stereoscopic models, real-time rendering and projection into the imaging element of the carrier are carried out. The technical scheme can maximize the effective driving information, and improve the smoothness of human-computer interaction and driving safety.

The application discloses a kind of dike damage animal information acquisition method, system, equipment and storage medium.It includes: obtaining the authorized account information input by patrol officer, the authorized account information is checked, when checking, access permission is determined based on authorized account information;Obtain the project list corresponding to access permission, and determine target project from project list;Based on target project, obtain patrol information;The patrol information is checked, and after checking, it is stored in census database as patrol record.Through checking authorized account information to determine access permission, data access range can be accurately controlled, information leakage and disorderly operation are avoided, and system use safety is guaranteed.Through obtaining patrol information based on target project, data and project accurate binding are realized.Through checking information and storing in census database, data format is guaranteed to be standard, complete and effective, structured storage is realized, and reliable data support is provided for subsequent management analysis.

This invention discloses a project-based learning system. The system includes a first platform, a second platform, and a server. The first platform is used for a first user to input first content, which includes at least one of voice, text, images, and video. The first content includes the first user's personalized characteristics, including at least one of voice characteristics, language habits, drawing characteristics, and video shooting characteristics. The second platform is used for a second user to pre-set second content to be displayed on the first platform. The pre-setting of the second content to be displayed on the first platform is implemented through templates pre-stored in the server, and the templates provide AI tool invocation functionality. Through the technical solution of this invention, the pre-set project templates provide AI tool invocation functionality, enabling students to generate visual and personalized works (such as AI paintings and videos) by invoking AI tools, thereby enhancing the fun and motivation of learning.

This application discloses a method, apparatus, equipment, vehicle, and medium for under-vehicle rescue. The method includes: acquiring images of the underside of the vehicle, images of the surrounding area, real-time vehicle speed, and vehicle posture data; determining, based on the under-vehicle images, whether a foreign object exists under the vehicle and the target location of the foreign object; in response to the determination that a foreign object exists, identifying the type of foreign object based on the under-vehicle images, real-time vehicle speed, and vehicle posture data; and determining a rescue strategy for lifting at least one independent suspension of the vehicle based on the type of foreign object, the target location, and the surrounding images. The technical solution of this application avoids blind operation by rescue personnel, significantly shortens rescue preparation time, and improves rescue efficiency. It enhances the adaptability and flexibility of the vehicle in complex rescue environments, improving the success rate and safety of rescue operations.

The present application provides a kind of open-air blasting hole net parameter determination method, device, electronic equipment and detection system, belongs to blasting engineering technical field.The method comprises: S1, obtains the rock mass explosibility parameter of target blast area, initial hole net parameter;S2, the parameters obtained and blasting energy parameters are input into numerical simulation model, and output prediction result;S3, obtains the measured result according to the current hole net parameter execution blasting;S4, according to the measured result and prediction result, corrects the parameters of numerical simulation model;S5, optimizes hole net parameter;S6, based on the iteration control of multi-objective optimization repeatedly executes S2-S5, and the first preset number of iterations control executes S2-S5, subsequent iteration control only executes S2 and S5;Until the prediction boulder rate exceeds the first threshold value, stop iteration, and the optimal hole net parameter with the prediction boulder rate less than the first threshold value is determined as target hole net parameter.The method is used to solve the problem of high explosive specific consumption in related art.

The present disclosure provides a neural network-based weight quantization method, device and electronic equipment. The method comprises: obtaining calibration data corresponding to a calibration data set of the neural network; obtaining first quantized weights corresponding to a preset first truncation ratio of original weights of the neural network, determining a first quantization error of the first quantized weights relative to the original weights according to the calibration data; in the case where the first quantization error is determined to satisfy a preset convergence condition according to the calibration data, performing truncation processing and quantization processing on the original weights of the neural network according to the first truncation ratio to obtain network weights of the neural network. This method can automatically determine an adjusted first truncation ratio, so that the error value of the network weights of the neural network is smaller.

The application discloses a normal distribution-based cutting parameter determination method, device, equipment and medium, the normal distribution-based cutting parameter determination method comprises the following steps: obtaining the expected tool life of a target tool corresponding to an expected cutting parameter, and performing normal distribution verification on the expected tool life to generate an expected normal distribution model; based on the tool material of the target tool and the workpiece material of the workpiece to be machined, traversing a tool database to determine a candidate standard normal distribution model matched with the tool material and the workpiece material; based on the expected normal distribution model and the candidate standard normal distribution model, a target standard normal distribution model is determined; the cutting parameter corresponding to the target standard normal distribution model is determined as the cutting parameter of the target tool. Through the technical scheme, the service life of the tool and the reliability of the cutting data are improved.

This utility model discloses a charger operating status indication system and a two-wheeled electric vehicle. The system includes: a battery power monitoring module, a charging fault detection module, a control module, a multi-level power indication drive module, multiple fault indication drive modules, and first and second LED indicator arrays. The battery power monitoring module is connected to the battery to be charged; the charging fault detection module is connected to the charger; both the battery power detection module and the charging fault detection module are connected to the control module; the control module is connected to each level of the power indication drive module; the control module is also connected to each level of the fault indication drive module; each level of the power indication drive module is connected to the first LED indicator array; each fault indication drive module is connected to the second LED indicator array; the first LED indicator array is in different power indication states under the drive of each level of the power indication drive module; the second LED indicator array is in different fault indication states under the drive of each fault indication drive module.

The application discloses a parking lot scheduling method, device and equipment and a storage medium. The method comprises the following steps: counting a first total quantity of a first automobile set, wherein the first automobile set is all automobiles currently located in an entrance waiting area; if the first total quantity is greater than or equal to a preset total quantity threshold, detecting the accommodation of parking spaces in each parking floor for the first automobile set; if the accommodation is that the parking spaces in each parking floor can accommodate the first automobile set, starting an entrance priority mode; and in the entrance priority mode, preferentially scheduling an elevator to a waiting floor. According to the embodiment, the elevator is dynamically scheduled according to the situation of the automobiles waiting to enter the parking lot, the automobiles can be quickly transported to the corresponding parking floor when the automobiles are gathered, the automobiles waiting to enter are dispersed, the efficiency of scheduling the elevator is greatly improved, and the congestion of the entrance waiting area is reduced.

The application discloses a kind of car position measurement method, device, equipment and storage medium, the mapping relationship of first reference distance, second reference distance and third reference distance is established in advance, in actual measurement process, the target distance corresponding to echo signal with better signal-to-noise ratio is used to find the corresponding second reference distance from the mapping relationship as the distance between car and shaft top, the car position measured by phase method is corrected, the cumulative error generated by phase ranging is eliminated, the accuracy of car position is improved, and then the safety is improved.

This invention discloses a method, apparatus, device, and storage medium for determining airbag adjustment information, comprising: acquiring target parameter information of a target object, wherein the target parameter information includes at least sleep parameter information of the target object during sleep; determining target muscle group information related to the sleep quality of the target object based on the sleep parameter information; and determining airbag adjustment information matching the target object based on the target muscle group information. This technical solution solves the problems of limited adjustment methods and lack of flexibility, enabling flexible airbag adjustment based on the user's individual circumstances, thus improving the user experience.