53results about How to "Reliable judgment" patented technology

The invention relates to the technical field of battery monitoring and management, and discloses a power battery monitoring and management system and method based on the Internet, and the system comprises a data collection unit, a preprocessing unit, a data transmission unit, a feature extraction unit, a data analysis unit, a fault diagnosis unit, and a remote management unit. In battery state evaluation, the charge state is calculated by combining an ampere-hour integral method with an open-circuit voltage method, and errors are calibrated and reduced; the health state is calculated through the internal resistance change rate, maintenance or replacement requirements can be prompted in time, voltage, temperature, charge and health state parameter trends are analyzed through setting observation points, faults including potential faults are efficiently diagnosed in combination with normal threshold value comparison and change rate comparison, and finally a user can remotely check the visual battery state. When a fault occurs, an instruction can be sent remotely, control such as power limiting and balance operation starting is achieved, and convenience and high efficiency are achieved.

The invention relates to the field of electrical equipment, and discloses a disinfectant fluid preparation method and device, disinfection equipment and a computer readable storage medium. According to the invention, closed-loop control is carried out on the power of the discharge mechanism on the basis of the conductivity detection result, the problem that the disinfection effect is affected due to the fact that the plasma concentration of the disinfectant fluid is easy to deviate can be solved, and the prepared disinfectant fluid has good disinfection and sterilization effects. The disinfectant fluid preparation method is applied to the disinfectant fluid preparation device, the disinfectant fluid preparation device comprises a water storage structure and a discharging mechanism, and the discharging mechanism is arranged in the water storage structure and used for discharging and preparing water in the water storage structure into disinfectant fluid; the disinfectant fluid preparation method comprises the following steps: starting the discharge mechanism; acquiring a first conductivity actual change value delta S of the liquid in the water storage structure; acquiring a first conductivity preset change value delta S0; and adjusting the power of the discharge mechanism according to the actual change value delta S of the first conductivity and the preset change value delta S0 of the first conductivity.

The present invention discloses a state-monitorable solenoid valve, including a solenoid valve body, an upper chamber fixedly installed above the solenoid valve body, a static iron core placed in the center of the upper chamber, an electromagnet coil with the center of the upper chamber as the axis wound on the static iron core, the bottom of the static iron core is fixedly connected to one end of a reset spring, the other end of the reset spring extends into a circular hole at the top of a moving iron core, the bottom of the moving iron core is fixedly connected to a sealing member, the sealing member is used to seal the valve port of the water outlet chamber of the solenoid valve body, and two working condition monitoring sensors symmetrically arranged about the reset spring are also provided at the bottom of the static iron core, and the working condition monitoring sensors are electrically connected to a signal processing module. The present invention receives and processes the pressure signal of the working condition monitoring sensor at the bottom of the static iron core through the signal processing module, accurately judges the real-time working condition of the solenoid valve, effectively solves the problem that the working state of the traditional solenoid valve cannot be monitored, and provides a reliable basis for daily use and maintenance.

The invention relates to the technical field of archive management, in particular to an intelligent archive management system based on RPA, and the system comprises a storage module which recognizes an invoice structure and carries out distributed storage; the frequency setting module collects first node performance data to determine an initial detection frequency; a third-class node analysis module detects whether the third-class storage nodes are abnormal or not, adjusts the initial detection frequency according to an abnormality judgment result, or generates a second-class storage node abnormality judgment instruction; the second-class node analysis module judges whether the second-class storage nodes are abnormal or not based on the node exception proportions of the third-class storage nodes or the change trend of the node exception proportions, so that a second-class node repair strategy is formulated according to the comparison result of the second-class exception number and the preset exception number, or a first-class storage node exception judgment instruction is generated; and the first-class node analysis module analyzes abnormal distribution of a plurality of abnormal second-class storage nodes so as to judge the abnormal degree and determine a first-class node repair strategy. According to the invention, the efficiency and safety of archive management are improved.

The invention discloses a collision detection method and system based on 3D projection modeling, a medium and a program product, and the method comprises the steps: receiving an approach monitoring video; establishing a collision surrounding cuboid model of the vehicle; acquiring video information of other articles in the parking lot, and establishing other collision surrounding cuboid models in one-to-one correspondence with the other articles; respectively projecting the collision surrounding cuboid model and other collision surrounding cuboid models onto a ground plane to obtain a vehicle rectangle and other rectangles; projecting the vehicle rectangle and other rectangles to the length and the width to obtain four projection results; when any projection result does not contain the coincident point, determining that the vehicle is in a safe state; when only the three projection results contain the coincident point, controlling a vehicle machine of the vehicle to send out preset early warning information; and when the four projection results all contain the coincident points, determining that the vehicle has an accident. The probability of collision or rubbing of automobiles in a narrow and complex parking lot is reduced.

The invention discloses an ultrasonic phased array reference test block and a use method thereof. The ultrasonic phased array reference test block comprises a test block body, a surfacing layer, a transverse hole group, a first notch groove group and a second notch groove group, the first side surface of the test block body is provided with a convex part for simulating a boss at the orifice of a connecting pipe, the upper surface of the test block body is provided with a slope, and the lower surface of the test block body is provided with a concave inner bend angle; the surfacing layer is arranged on the upper surface and the first side surface of the test block body, the transverse hole group is arranged on the first surface of the test block body, the first notch groove group is arranged at the joint of the first side surface and the second surface, and the second notch groove group is arranged on the inner corner. According to the ultrasonic phased array reference test block, the surfacing layer, the slope, the inner bend and other structures are arranged according to the characteristics of a reactor pressure vessel barrel and a connecting pipe welding seam, the real structural characteristics of the reactor pressure vessel barrel and the connecting pipe welding seam are effectively simulated, and the influence of a complex structure on a phased array ultrasonic detection process is simulated.

The invention discloses a data uplink transmission method and system for intelligent hospital Internet of Things medical terminal equipment, and relates to the technical field of Internet of Things medical terminals, and the method comprises the following steps: obtaining various parameter information generated in the uploading process of an electrocardiograph monitor data packet, including data processing capability and network reliability; by acquiring data processing capacity and network reliability parameters in the uploading process of the electrocardiograph monitor, the system accurately analyzes buffer overflow and packet loss retransmission mechanism failure, and a transmission quality coefficient is generated in combination with machine learning. The intelligent mechanism detects the high-risk uploading process in real time, data packet error sequence or loss is reduced, the integrity of electrocardiogram (ECG) data is ensured, and misdiagnosis is effectively avoided. The high-risk uploading process is divided into an unstable type, a continuous type and a burst type, and corresponding early warning measures are taken respectively, so that timely processing of critical data is ensured, the safety and stability of data transmission are improved, and the safety of a patient is guaranteed.

The invention discloses a method for judging the possibility of forming debris flow by moraine lake outburst, which comprises the following steps of: S1, calculating the average longitudinal gradient J of a downstream channel of a moraine lake, the flood peak flow Q of moraine lake outburst and the particle size characteristic value D of an object source of a downstream drainage basin of moraine lake outburst, and measuring the average width W of the downstream channel of the moraine lake; s2, calculating a moraine lake outburst debris flow possibility evaluation factor P according to the moraine lake downstream channel average longitudinal gradient J, the moraine lake outburst peak flow Q, the moraine lake outburst downstream watershed source particle size characteristic value D and the moraine lake downstream channel average width W; and S3, judging the debris flow occurrence possibility according to the evaluation factor P. The invention further discloses application of the method for judging the possibility of forming the debris flow through moraine lake outburst. According to the method for judging the possibility of forming the debris flow through moraine lake outburst and the application of the method, the problem that the possibility of forming the debris flow through moraine lake outburst cannot be judged in the prior art is solved.

The invention is suitable for the technical field of remote control vehicle emergency management, and provides an emergency management method and system for a remote control driving vehicle, and the method comprises the steps: obtaining the alarm time and a risk pre-judgment value of a target remote control passenger elevator in response to a real-time emergency event when receiving the alarm of the real-time emergency event of the target remote control passenger elevator, and obtaining the risk pre-judgment value of the target remote control passenger elevator in response to the real-time emergency event; and determining whether the real-time emergency event belongs to a predetermined emergency category. Accurate evaluation of the tire performance is realized, so that the initial risk pre-judgment value generated by the emergency event is corrected more accurately. The process not only improves the sensitivity and response speed of the system to the tire performance change, but also ensures that the system can dynamically adjust the risk assessment result according to the latest tire road holding data under complex or severe environmental conditions. The corrected risk pre-judgment value can reflect the current running state of the vehicle more truly, so that the automatic driving system is more reliable when judging whether the control right needs to be transferred to the driver or not.

The invention relates to the technical field of positioning, in particular to a commercial vehicle key positioning method and device, a medium and equipment. In simulation software, a commercial vehicle model comprising four vehicle key communication antennas is established. And for the commercial vehicle model, performing magnetic field distribution simulation, and determining a magnetic induction intensity cloud picture. According to the magnetic induction intensity cloud picture and the preset positions of the vehicle keys, the receiving signal intensity indication ranges of the positions of the vehicle keys are determined. And acquiring the real magnetic field intensity of each vehicle key communication antenna sensed by the vehicle key, and determining the received signal intensity indication corresponding to the real magnetic field intensity. And inputting the received signal strength indication into the calibration model to obtain an output received signal strength indication. And according to the received signal strength indication output by the calibration model, determining the position of the vehicle key based on the received signal strength indication range corresponding to the simulated magnetic field intensity of each vehicle key position. Reliable judgment of positioning the position of the car key in different regions is realized through the spatial distribution difference of the multi-antenna magnetic field.

The invention provides a remote vehicle safety air bag fault repairing method and device, a vehicle-mounted terminal and a vehicle. The method comprises the steps of obtaining vehicle data uploaded by the vehicle; when the vehicle safety air bag has a fault, reading a safety air bag fault code, and inputting the safety air bag fault code into a pre-constructed safety air bag fault model to obtain a safety air bag repairing measure; and transmitting the safety air bag repairing measures to the vehicle so as to enable the vehicle to execute the safety air bag repairing measures, comprehensively considering a plurality of vehicle indexes to judge whether the safety air bag has the fault or not, being more accurate and reliable compared with single index judgment, improving the fault judgment precision, and once the safety air bag is determined to have the fault, improving the safety air bag repairing efficiency. The safety airbag fault code is read and input into the pre-constructed safety airbag fault model, so that the fault code can be analyzed in a short time, and the diagnosis efficiency is improved.

This invention relates to an intelligent concrete vibratory compaction device with multi-source sensing and adaptive feedback capabilities. It includes a compaction execution module, an intelligent decision-making and control module, a multi-source sensing module, an intelligent reminder and early warning module, an energy and power management module, and a data storage and communication module. The multi-source sensing module is integrated into key parts of the vibratory compactor to collect multi-source physical signals in real time. The intelligent decision-making and control module has a built-in signal fusion processing algorithm and equipment status recognition model, which performs real-time fusion analysis on the collected signals and identifies the working status, generating adaptive control commands based on the recognition results. The energy and power management module dynamically adjusts the output power according to the commands. The data storage and communication module encrypts and stores operation data and supports exchange with a remote management platform. This invention, through multi-source sensing and intelligent decision-making, achieves real-time monitoring, status judgment, automatic prompts, and data recording of compaction operations, improving the reliability, traceability, and management efficiency of construction quality.

This invention discloses a VR scene dynamic perception method based on neuromorphic visual sensing, comprising: responding to an asynchronous event stream output by a neuromorphic visual sensor, mapping each event to a four-dimensional spatiotemporal coordinate system; performing recursive spatiotemporal clustering on all events based on the spatial coordinate dispersion and timestamp dispersion of each event to generate multiple initial spatiotemporal event clusters; calculating the drift trajectory of the centroid of each initial spatiotemporal event cluster in the four-dimensional spatiotemporal coordinate system, and dividing the drift trajectory into multiple continuous trajectory segments; using each trajectory segment as a dynamic perception unit, and identifying dynamic objects in the VR scene corresponding to each dynamic perception unit. This invention achieves efficient perception and recognition of dynamic objects in VR scenes through spatiotemporal joint clustering and centroid drift trajectory segmentation.

The device memory stores first type information indicating whether the device body is a contract device or a normal device. When a device contract for an image forming device is signed, a contract device can be used. The consumable memory stores a second type of information indicating whether the consumable is a contract consumable or a normal consumable. Contract consumables can be used when a consumable contract for an image forming apparatus is signed. The controller is configured to determine whether the first type information indicates that the apparatus main body is a contract apparatus, determine whether the second type information indicates that the consumable attached to the apparatus main body is a contract consumable, and switch a function available in the image forming apparatus based on a combination of the first type information and the second type information.

The application provides a PTC self-limiting temperature knee pad and a multi-source sensing combined control method, which comprises the following steps: collecting real-time pressure values of each pressure sensor in a pressure sensor array and a real-time inclination angle value of an inclination sensor; calculating a pressure difference value and judging whether the resistance measurement value is in a low resistance state defined by a positive temperature coefficient effect; limiting the heating temperature below the resistance mutation temperature by using the positive temperature coefficient effect; continuously monitoring the change of the real-time inclination angle value; when the real-time inclination angle value changes continuously below a preset activity angle threshold value for a time and exceeds a preset static time threshold value, outputting a stiffening prevention reminding instruction by a controller, and issuing a vibration reminder based on the stiffening prevention reminding instruction. The application realizes reliable judgment of heating start through a double-condition combined verification mechanism of a pressure difference value threshold and a low resistance state of PTC material.

This invention relates to an automatic detection system and method for elevator landing door locking devices. The system includes a moving base mounted on the car top, a door lock drive mechanism driven by the base, an image acquisition device, a signal acquisition device, and a control device. The door lock drive mechanism has two roller push plates that can move independently or collaboratively, enabling adaptive driving of single-action or double-action roller door locks. The image acquisition device acquires door lock images to identify door lock features and the lock hook. The signal acquisition device acquires the door lock safety circuit break signal. The control device automatically controls the drive mechanism based on the identification results and triggers visual measurement upon receiving the break signal to calculate the lock hook engagement depth and determine whether it meets safety requirements. This invention achieves automatic, accurate, and efficient detection of door locks with various structures, replacing traditional manual methods and significantly improving the objectivity, accuracy, and applicability of the detection.

The present invention relates to the field of power equipment monitoring technology, and in particular to an intelligent remote monitoring method for power equipment. The present invention continuously obtains audio information and power generation of each wind turbine in a preset area, calculates wind turbine operation characterization parameters based on the audio information and power generation at predetermined intervals, divides each wind turbine operation category, and selects a processing method for monitoring data of each wind turbine according to the operation category of each wind turbine, including determining whether each wind turbine fails according to the power generation fluctuation amount of each wind turbine, or identifying a characteristic time domain segment, constructing an audio time domain fluctuation curve and fitting it with samples in a sample library to determine whether the wind turbine has an abnormality. The present invention obtains significant analysis information by identifying the characteristic time domain segment, and the analysis of the operating status of the wind turbine is more accurate and reliable.

This application provides a method for multipath false target detection and identification using vehicle-mounted millimeter-wave radar. The method includes acquiring a single-frame echo signal from the target vehicle-mounted millimeter-wave radar; filtering the single-frame echo signal to generate a single-frame point set; performing multipath pattern judgment on the single-frame point set to generate a multipath judgment result; associating the single-frame over-detected points in the single-frame point set with flight paths based on the multipath judgment result and preset rules to generate a target flight path; calculating multipath confidence information on the target flight path to generate a comprehensive multipath confidence evaluation value; and performing multipath false target detection and identification processing based on the comprehensive multipath confidence evaluation value and a preset confidence threshold. In this way, accurate multipath judgment can be performed under complex road conditions.

The application discloses a bridge structure damage rapid diagnosis method and system based on modal frequency identification, and particularly relates to the technical field of bridge structure health monitoring and damage identification, and is used for solving the diagnosis ambiguity and misjudgment risk caused by the signal aliasing of environmental fluctuation, material natural aging and damage of the existing method; the method is realized by collecting bridge vibration response signals and extracting at least two different order measured modal frequencies, decoupling and separating the environmental influence component based on the pre-established collaborative evolution mode, then performing long-term trend analysis on the frequency stripped of the environmental influence to separate the structure performance natural time-varying trend component and the potential damage trend component, analyzing the change characteristic difference between different order potential damage trend components, and finally realizing the identification and evaluation of the existence, possible area and development stage of the bridge structure damage.

The invention relates to the technical field of photovoltaic communication, in particular to a photovoltaic interface adapter with a fault direct connection protection function and a use method, and the photovoltaic interface adapter comprises a main control module, a communication path selection module, a physical direct connection module and a watchdog module. The main control module is used for receiving communication data of the 4G communication module and the photovoltaic inverter and sending a dog feeding signal to the watchdog module, and the communication path selection module is used for receiving a level control signal sent by the watchdog module and switching a communication path of the photovoltaic interface adapter according to the level control signal. The physical direct connection module is used for responding to the communication path selection module so as to carry out communication of the photovoltaic interface adapter, and the watchdog module is used for receiving a dog feeding signal sent by the main control module and sending a control signal to the communication path selection module. The photovoltaic interface adapter has the advantages that the communication reliability of the photovoltaic interface adapter can be improved, so that the basic communication effect between the 4G communication module and the photovoltaic inverter is guaranteed.

The present application discloses a method, system, device, storage medium and product for evaluating cryptographic reviews, which are applied to a SAAS platform. The method comprises: obtaining the primary encryption features of an encryption algorithm in an application by reverse engineering to form a training feature library; inputting the application into a pre-trained parsing model to obtain first encryption algorithm type information, wherein the parsing model is generated based on the training feature library and a preset algorithm; obtaining traffic data, and inputting the traffic data into a pre-trained hybrid model to obtain traffic data type information and second encryption algorithm type information; generating cryptographic standard indicator data based on the cryptographic review standard and preset evaluation rules; judging whether the first encryption algorithm type and the second encryption algorithm type match the standard indicator data, thereby determining the indicator level of the traffic data and / or the application, wherein the judging operation method is simple and the indicator level judgment is reliable.

This invention provides a passenger safety monitoring early warning method and device, electronic equipment, computer-readable medium, and program product, belonging to the technical field of safety monitoring. The early warning method includes: determining a target vehicle from multiple vehicles corresponding to multiple vehicle-mounted terminals based on prior route information, mobile terminal status information, and broadcast signals from vehicle-mounted fixed terminals. The prior route information includes route geometry and station information pre-stored in the mobile terminal; generating passenger pose information based on inertial measurement data and satellite observation data from the mobile terminal, as well as route and station constraint information corresponding to the target vehicle; determining the passenger's safety status based on the trigger signal and pose information from the vehicle-mounted fixed terminal corresponding to the target vehicle; and sending a prompt command to the vehicle-mounted fixed terminal corresponding to the target vehicle based on the passenger's safety status, causing the vehicle-mounted fixed terminal to output corresponding early warning information. This application improves the reliability and accuracy of passenger safety monitoring.

This application relates to a method and system for testing the fatigue life of a spring. The method includes: simultaneously acquiring instantaneous force and displacement signals of the spring under test, and identifying each loading cycle based on the instantaneous force and displacement signals; extracting characteristic parameters reflecting the mechanical response characteristics of the spring based on the instantaneous force and displacement signals corresponding to each loading cycle; tracking the changing trend of the characteristic parameters with the number of loading cycles, and calculating the rate of change of the characteristic parameters based on the changing trend; and determining the fatigue failure point of the spring based on the changing trend and the rate of change. This invention can significantly improve the reliability of fatigue life test results and provide accurate data support for spring design optimization.

The invention discloses a method for rapid isolation of faults in a common DC bus system, which is characterized by comprising the following steps: S1, partitioning the source, network and load of the common DC bus system into protection zones; S2, dividing the protection actions after a fault occurs in each zone according to the structure of the common DC bus system; S3, reliably distinguishing the fault in the AC protection zone from the fault in the remaining protection zones according to whether the AC side of each zone is energized after the action; S4, when a single zone is acted upon and the remaining two zones are not acted upon, the fault zone is determined according to the action result of the single zone; S5, if the remaining protection zones are all acted upon, the fault is determined according to the DC bus protection zone; S6, forming a partition protection reliability weight according to whether each zone is equipped with a fuse, a circuit breaker and a device lockout, comparing the protection reliability weights of each zone, and determining the fault zone according to the zone with the largest weight; and the weight can be set according to the protection means, thereby determining the fault zone.

The invention relates to the technical field of image processing, in particular to a battery welding detection method and system based on machine vision. The method comprises the steps that a welding area is collected, and inner and outer welding boundaries and abnormal edge sections on the inner and outer welding boundaries are obtained according to the welding area; obtaining the abnormal degree of the outer welding boundary and the abnormal degree of the inner welding boundary according to the abnormal edge sections on the inner and outer welding boundaries, and obtaining each sub-region according to the welding region; according to the LBP histogram of each sub-region, obtaining the texture anomaly degree of each sub-region; according to the abnormal degree of the inner welding boundary and the texture abnormal degree of the abnormal texture area, the overall abnormal degree of the welding area is obtained, then the welding quality is evaluated, and the accuracy of welding quality detection is improved.

The application discloses an automatic driving trajectory prediction method and system based on behavior intention and motion prior, and relates to the technical field of automatic driving.The application comprises an offline stage and an online stage: in the offline stage, behavior intention labels are automatically generated according to future trajectories and road topological information, training trajectories are grouped and clustered according to agent types and intention labels, and a motion prior library is constructed; in the online stage, a scene encoder is used to encode historical motion state sequences and vectorized map information to generate scene context features, an intention distribution is inferred through learnable intention query and scene context interaction, the intention distribution is fused with a pattern query, combined with the motion prior library, and multi-modal prediction trajectories are generated through a two-stage decoder.The application effectively solves the problems of intention confusion, mode collapse and direction deviation in multi-modal trajectory prediction through automatic intention label generation, structured motion prior construction and a decoding mechanism guided by intention query and motion prior combination.

The embodiment of the invention relates to the technical field of vehicle information, and discloses a detection method and device for a traffic retrograde event, a medium and a product. The method comprises the following steps: acquiring current position information and current course angle information of a target vehicle; determining lane course angle information of a lane where the target vehicle is located currently according to the current position information; and according to the current course angle information and the lane course angle information, determining whether the target vehicle triggers a traffic retrogradation event. The method and the device at least can be used for solving the problems that in related technologies, how to comprehensively judge whether the vehicle runs in the reverse direction or not by using driving data acquired by various sensors, no universal solution exists in the market, and overall analysis cannot be directly performed according to the driving data; therefore, whether the vehicle triggers the traffic retrogradation event or not can be accurately and reliably judged.

The invention discloses a method for distinguishing genuine fly ash from fake fly ash posing as solid waste, comprising the following steps: a. taking a trace amount of dried ash sample to be tested and evenly spreading it on a conductive tape on a sample stage to obtain a single-layer powder material layer; b. placing the sample stage in a scanning electron microscope sample chamber, taking at least 5 fields of view within each field of view, and obtaining a clear image of ash sample particles; c. converting the image into a gray image, performing binarization processing, and measuring the particle size, area and roundness of the ash sample particles in the binary image; d. using data processing software to count the total area value of particles with a roundness of more than 0.8 and the total area value of particles with a roundness of more than 0.5, and dividing the two to obtain a criterion S R>0.8 / S R>0.5 Value: When it is higher than 5%, it is real fly ash; when it is between 2%-5%, it is inferior fly ash mixed with some fake ash; when it is lower than 2%, it is fake fly ash disguised as solid waste. It can quickly, efficiently and accurately identify real and fake fly ash.

The invention provides an intelligent parking management method and system, electronic equipment and a storage medium, and the method comprises the steps: receiving a parking request of a user located outside a parking lot for a target parking lot, and obtaining the multi-mode sensing data of each parking space in the target parking lot; performing time-space synchronization calibration preprocessing on the multi-modal sensing data to unify the sensing data from different sensors to the same time reference and the visual data, geomagnetic sensing data and radar point cloud data belonging to the same parking space based on preprocessing under a coordinate system with the parking lot entrance as the original point; fusing and inferring the occupancy state of each parking space to obtain an occupancy state set of the target parking lot; and based on the occupancy state set and the parking request of the user, carrying out parking space distribution. According to the invention, a multi-modal fusion mechanism is introduced, so that the misjudgment rate caused by single sensor fault or environmental interference is obviously reduced, the judgment accuracy of the parking space state is high, and the parking space utilization efficiency of the parking lot is greatly improved.

The invention provides an image quality detection method, electronic equipment, a storage medium and a program product, and relates to the technical field of computers, and the method comprises the steps: carrying out the character detection processing of a to-be-detected image, and obtaining a character recognition result of the to-be-detected image; determining image quality evaluation information of the to-be-detected image based on the character recognition result; obtaining a quality detection result of the to-be-detected image by using the image quality evaluation information; according to the method and device, the electronic equipment and the storage medium, the quality evaluation precision and applicability are high, the image quality can be reliably and accurately evaluated, and the user experience degree is effectively improved.