60results about How to "Assessment reliability" patented technology

The invention discloses a magnet surface defect detection equipment control method for AI optimization and a controller, and relates to the field of control adjusting systems.The method comprises the steps that according to a conveying monitoring image, surface brightness information of a to-be-detected magnet on a conveying platform is determined; determining detection light source parameters according to the surface brightness information, and adjusting an irradiation light source of the detection station according to the detection light source parameters; when the to-be-detected magnet arrives at the detection station, collecting a surface image of the to-be-detected magnet, and calculating a gray feature value of the surface image in real time; when the numerical deviation between the gray feature value and a preset gray target exceeds a preset deviation threshold value, finely adjusting the detection light source parameter according to the numerical deviation, and determining a target light source parameter; controlling the irradiation light source of the detection station to irradiate according to the target light source parameter, and obtaining the surface image of the to-be-detected magnet again as a target image; and inputting the target image into the AI detection model to obtain a defect detection result. By implementing the method, the detection effect on different magnets can be improved.

The invention provides a 110V transformer winding insulation resistance absorption ratio detection method, which belongs to the technical field of transformer windings, and is characterized in that transformer operation state parameters and environmental influence factors are acquired through a multi-channel synchronous acquisition system, and thermodynamic and electrical models are established. The research adopts methods of principal component analysis, numerical integration and the like, an insulation resistance change rule is analyzed under a standard test voltage, a weight coefficient matrix is constructed in combination with an operation state and an environmental factor, a measured value is corrected through multiple linear regression and a correction coefficient method, and finally, the insulation resistance is obtained through statistical average and standard deviation analysis. The accurate evaluation of the insulation resistance absorption ratio of the transformer winding is realized; according to the method, the influence of the complex working environment and the operation state of the transformer on the insulation performance is fully considered, and the problem that various complex factors in the operation process of the transformer cannot be comprehensively considered and compensated in the prior art is solved by adopting the means of mathematical modeling, data correction, statistical analysis and the like; therefore, the technical problem of large deviation of the measurement result is solved.

The invention belongs to the technical field of ocean engineering, and discloses a seabed vibration elbow solid-liquid two-phase flow erosion corrosion coupling analysis method and system. The method comprises the following steps: establishing a three-dimensional fine model of a local bent pipe section; constructing a flow accelerated corrosion model by using a mass transfer equation and a solubility equation to calculate a flow accelerated corrosion rate; an E / CRC particle erosive wear model is introduced to calculate the erosive wear rate of particles to the wall surface of the pipeline; an erosion-corrosion coupling model is constructed based on the electrochemical corrosion secondary current model to simulate the erosion corrosion process of solid-liquid two-phase flow in the vibration pipeline, and an erosion corrosion coupling response rule in the vibration elbow is obtained. Compared with an original analysis method which only considers erosion wear, the erosion corrosion rate calculation precision is improved by 36%, the simulation result and experiment comparison error is reduced to be within 20%, and technical support is provided for accurate analysis of pipeline damage under the erosion corrosion coupling effect.

The invention relates to the technical field of electric power data analysis, in particular to an electric power data analysis method and device based on graph calculation, and the method comprises the steps: constructing an electric power network graph, carrying out the deep learning processing of multi-dimensional and heterogeneous data, and analyzing a dynamic change prediction trend; power dispatching is optimized in combination with reinforcement learning, an optimal power dispatching decision is matched with minimization of energy loss as a target, the technical problems that high-dimensional data and heterogeneous data are complex to process, the change trend of the power system cannot be accurately predicted and an effective dispatching decision is lacked in the operation process of the power system are solved, and the power system can be effectively dispatched according to the real-time power grid operation state and the prediction trend. According to the method, the aim of self-adaptive strategy optimization learning is achieved, power dispatching flexibility is greatly improved, energy loss minimization is taken as the aim, an optimal power dispatching decision is accurately matched through continuous iterative optimization, power system data analysis efficiency is improved, and strategies are adjusted to cope with continuously changing supply and demand conditions and power grid operation conditions; and the overall stability and reliability of the power grid are improved to the greatest extent.

The invention discloses an automatic programming spraying control system based on intelligent visual identification, and particularly relates to the technical field of spraying control. Comprising an automatic programming spraying area division module, an automatic programming spraying data acquisition module, an automatic programming spraying data analysis module, an automatic programming spraying control module, an automatic programming spraying comprehensive analysis module and an automatic programming spraying man-machine interaction module. The automatic programming spraying area division module is used for taking an object to be sprayed as a target area and dividing the target area into a plurality of monitoring sub-areas according to each spraying object; by analyzing the spraying precision parameters, an index is obtained to measure the current control performance level of the system, the accuracy and stability of a visual recognition algorithm in the automatic programming spraying control system can be comprehensively reflected, the effectiveness of a path planning algorithm and the precision in the execution process can be reflected, and the accuracy of the system is improved. And therefore, the proportion of the repeated spraying area is reduced, and the spraying efficiency and the coating quality are improved.

The invention discloses an artificial intelligence-based automatic qualitative and quantitative analysis method for freshwater phytoplankton. The method comprises the following steps: data acquisition: capturing an algae image in a water sample by using high-resolution image acquisition equipment; image preprocessing: denoising, contrast enhancement and binarization preprocessing are carried out on the acquired image so as to improve the image quality and make preparations for subsequent analysis; image segmentation: using an image segmentation algorithm to distinguish algal cells and a background, and extracting an image area of the algal cells; feature extraction: extracting features of algae cells from the segmented image for subsequent identification and classification; the method has the beneficial effects that the artificial intelligence technology automatically recognizes algae species, and compared with a traditional artificial microscopic examination recognition method, the working efficiency can be greatly improved; and a user can create and store a personalized analysis template, so that reuse in similar projects is facilitated, and the working efficiency is improved.

The invention relates to the technical field of integrated circuit chip testing, in particular to an integrated circuit chip testing tool which comprises a testing seat, a testing device used for a multi-axis vibration detection plate and a chip is installed at the upper end of the testing seat, and a protection device used for installing the chip and preventing the chip from loosening is installed on the testing device. The chip vibration testing device is used for conducting vibration testing on a chip, it can be ensured that the chip is completely inserted into the testing plate, then electrical contact between the chip and the testing plate is ensured, the accuracy of a chip vibration detection result is improved, the chip inserted into the testing plate can be fixed, and the chip vibration testing device is convenient to use. According to the chip vibration testing device, the chip is prevented from loosening and falling off when the chip is subjected to vibration testing, the vibration detection efficiency of the chip is improved, meanwhile, multi-axis vibration detection can be carried out on the chip, the vibration condition of the chip in actual use is simulated, and the performance and reliability of the chip in actual use can be evaluated more comprehensively.

The utility model discloses a device for testing the corrosion resistance of a reinforcing steel bar. The device comprises a test bed, a control panel is fixedly mounted on the front surface of the test bed, a plurality of environment simulation mechanisms are mounted at the top of the test bed, clamping mechanisms are mounted in the environment simulation mechanisms, and a stress loading mechanism is arranged on one side of each environment simulation mechanism; the clamping mechanism comprises a clamping body, the inner wall of the clamping body is connected with a limiting piece and a bottom supporting plate, the limiting piece and the bottom supporting plate are sleeved with a limiting plate, and the limiting piece is in threaded connection with a first lead screw. The device has the advantage of simulating actual working conditions, and solves the problems that stress is inconvenient to apply to the detected reinforcing steel bar, the corrosion effect of the reinforcing steel bar under the actual use condition is difficult to reflect and accurate evaluation of the corrosion resistance of the reinforcing steel bar is hindered in the use process of the existing device for testing the corrosion resistance of the reinforcing steel bar.

The invention provides a photovoltaic power generation reliability evaluation and power prediction method considering a time-varying failure rate, and belongs to the field of renewable energy sources. The photovoltaic power generation reliability evaluation and power prediction method considering the time-varying failure rate comprises the following steps: predicting solar irradiance and temperature per hour from historical data by using Monte Carlo simulation based on a random diffusion process (SDP), and modeling a cloud transient state by using a jump diffusion process integrated in the SDP, and then establishing a reliability evaluation index and photovoltaic generating capacity prediction model of the photovoltaic system considering the time-varying failure rate, thereby more accurately evaluating the reliability of the photovoltaic power generation system and predicting the photovoltaic generating capacity.

The invention belongs to the field of electric ceramic cooker testing, and particularly relates to a multi-head electric ceramic cooker assembly aging test device which comprises a test board with a placing groove in the upper portion and a plurality of test vessels, a multi-head electric ceramic cooker body is placed in the placing groove of the test board, and the test vessels are located on the upper portion of the multi-head electric ceramic cooker body. The upper portion of the multi-head electric ceramic cooker body is distributed in a central symmetry mode, a shell is fixedly arranged over the testing table, a testing mechanism matched with a testing tool to test the multi-head electric ceramic cooker body is arranged in the shell, and a driving mechanism is arranged on the right side wall of the shell. The testing mechanism comprises a calibration assembly, a collision assembly and a pushing assembly. Through cooperation of the testing tool and the testing mechanism, friction, collision, power instability and oil splashing tests can be carried out on the microcrystalline plate on the multi-head electric ceramic furnace body, so that the tests are closer to actual use scenes, and the test results are more comprehensive and sufficient.

The invention relates to the technical field of power distribution and utilization and communication, in particular to a multi-source wide-area power distribution and utilization terminal time correction method and device, electronic equipment and a chip. The time correction method comprises the steps that a multi-source fusion power distribution and utilization terminal obtains reference time service time based on a preset reference time service source or based on multiple different time service sources, a time service deviation value between the reference time service time and the time service time of the to-be-corrected time service source is calculated, a time service time optimization parameter is determined according to the time service deviation value in combination with a moving average filtering algorithm improved based on Pearson's correlation, and the time service time optimization parameter is used for correcting the time service time of the to-be-corrected time service source. When time service time optimization parameters are determined, a moving average filtering algorithm which is improved based on Pearson's correlation is combined, and the correlation between data is considered, so that noise can be effectively filtered, time deviation can be smoothed, the accuracy of time service correction is improved, and the high-accuracy time service synchronization requirement of the power distribution and utilization terminal in a power system is met.

A method and apparatus for measurement prediction in a wireless communication system are provided. A wireless device receives a measurement configuration including a measurement object from a network. A wireless device derives a first prediction for a measurement object. The wireless device sends information about the first prediction to the network. The wireless device derives a second prediction for the measurement object. Based on a difference between the first prediction and the second prediction, the wireless device transmits information related to the difference to the network.

The invention relates to the technical field of power equipment management, and discloses a power equipment asset management method, system and device and a storage medium, the power equipment asset management system comprises a data collection unit, a data processing unit, a comprehensive analysis unit, an evaluation management unit and a result display unit, the data processing unit performs feature analysis to obtain a feature evaluation value; the state change analysis calculates an operation parameter fluctuation coefficient and a change rate to obtain a state change evaluation value; load fluctuation analysis obtains a load fluctuation evaluation value based on a load value in an acquisition period; performing equipment aging analysis to obtain an aging evaluation value by considering the fault frequency, the operation duration and the fault time interval; the comprehensive analysis unit obtains a comprehensive score coefficient according to the feature evaluation value; the evaluation management unit generates different risk signals according to comparison between the coefficient and a preset threshold value; the result display unit displays the risk signal to operation and maintenance personnel so as to take management measures; according to the invention, data is comprehensively collected, scientific evaluation is realized, and efficient decision support is provided for equipment management.

The invention relates to a test method and device, a debugger, equipment, a storage medium and a program product, and relates to the technical field of OTA. The method is applied to a test system, and the test system comprises a test device and a debugger. The method comprises the steps that the testing device sends a debugging instruction to the debugger; in response to the debugging instruction, the debugger adjusts internal variables of the OTA upgrading data packet to obtain an OTA upgrading program packet corresponding to the at least one simulation test scene, and sends the OTA upgrading program packet corresponding to the at least one simulation test scene to the test device; for each simulation test scene, the test device executes OTA upgrade operation on the target controller based on the OTA upgrade data packet corresponding to the simulation test scene to obtain a test result corresponding to the simulation test scene; the test result is used for reflecting whether the OTA upgrading operation of the target controller in the simulation test scene is abnormal or not. Therefore, the OTA upgrading test can be carried out by simulating different use scenes and conditions, and the accuracy of the OTA test is improved.

The invention discloses an urban pipeline simulation data construction method based on intelligent remote sensing interpretation, and relates to the technical field of remote sensing image intelligent interpretation and urban geographic information basic data rapid generation. Comprising the following steps: acquiring an urban original ortho-image; carrying out preprocessing on the original orthoimage; marking the preprocessed orthoimage according to the road contour by using an image marking tool, and prefabricating a sample training set and a verification set; optimization is carried out based on coding and decoding structures in the U-Net original model, an urban pipeline simulation data construction model is established, and training of the model is completed; road line extraction is carried out by using the trained model; segmenting the road line; and assigning attributes to the segmented points and lines to complete generation of pipeline data. According to the method, the road of the remote sensing image is intelligently and automatically extracted, and the pipeline simulation data is constructed based on the extracted road data, so that the rapid generation of the urban pipe network data is realized, and the pipeline simulation data is provided under a specific condition.

The present invention discloses a flash memory chip fast testing method based on flash memory weak pages, comprising the following steps: 1) reading the information of a specified flash memory block through a flash memory testing device, the information including: the total number of pages of the block; 2) searching for the flash memory weak page of the specified block in the specified block; 3) evaluating the reliability of the flash memory chip according to the found flash memory weak page. The present invention proposes a flash memory testing process and method based on fast search for flash memory weak pages, which only needs to read the status of the flash memory weak page to be tested, and can accurately and efficiently evaluate the quality of the entire flash memory through the number of error bit flips of the flash memory weak page, which can greatly reduce the flash memory testing time in mass production testing and improve the mass production testing efficiency of flash memory screening.

The invention discloses a detection device for an enhanced modified foaming cement insulation board, and relates to the technical field of insulation board detection.The detection device for the enhanced modified foaming cement insulation board comprises a base, a lifting table is fixedly installed at the top of the base, and a first hydraulic cylinder is fixedly installed at the top of the lifting table; a second hydraulic cylinder is fixedly installed on the surface of the lifting table, a detection mechanism is arranged on the inner wall of the lifting table, and the centering device comprises a clamping plate, a first inclined plate, a centering plate, a second inclined plate, a water tank, a water spraying pipe, a collecting box and a telescopic rod. According to the detection device for the enhanced modified foaming cement insulation board, the second inclined plate moves to drive the centering plate to move so as to push the insulation board to move towards the centering position, and it is ensured that the insulation board is kept at the stable and centering position in the detection process, so that uneven pressure distribution caused by position deviation or inclination is avoided; therefore, more accurate pressure data can be obtained, and errors are reduced.

The invention relates to a pneumatic brake test method and test equipment thereof, and the method comprises the following steps: 1, opening a to-be-tested pneumatic brake, and connecting a lifting device with a load-bearing frame and a brake fin fixedly connected with the load-bearing frame; 2, the lifting device drives the load bearing frame to be away from the to-be-tested pneumatic brake, and the to-be-tested pneumatic brake is closed; 3, the lifting device is disconnected from the load-bearing frame, the load-bearing frame freely falls, and the brake fin collides with the to-be-tested pneumatic brake; fourthly, the lifting device runs, the load bearing frame is connected again, and the second step and the third step are repeated; 5, opening the to-be-tested pneumatic brake, disconnecting the lifting device from the load-bearing frame, stopping the movement of the load-bearing frame and the brake fin, and ending the test; by simulating the actual load working condition of the roller coaster which is as real as possible, the pneumatic brake system is repeatedly and fully tested, relevant parameters of the pneumatic brake are recorded, and the reliability and durability of the pneumatic brake are evaluated.

This invention is based on the failure mechanism of semiconductor cooling devices. It uses the abnormal changes in the package interface resistance and thermal resistance as the characterization factors of the reliability degradation of semiconductor cooling chips. It generates machine learning training data by randomly generating numerical simulation models to form a reliability assessment model. It uses the time-domain distribution of temperature in thermal infrared images as input data and outputs the reliability status of the device. This enables non-contact rapid assessment of the reliability of semiconductor cooling devices during manufacturing and service, and can identify and trace the location of failed thermoelectric arms.

The invention discloses a big data-based roadside holographic sensing platform data synchronization method and system, relates to the technical field of smart traffic, and aims to improve the accuracy of global traffic situation sensing in heterogeneous data synchronization and fusion processes of an existing roadside holographic sensing platform. The method comprises the following steps: acquiring heterogeneous data with time stamps from a plurality of pieces of edge sensing equipment, and respectively collecting the plurality of pieces of heterogeneous data into respective corresponding sliding time windows according to the time stamps carried by each piece of heterogeneous data; according to the data integrity score and the data credibility score, one fusion strategy is selected from multiple preset data fusion strategies, and the multiple data fusion strategies at least comprise a standard fusion strategy and a degradation fusion strategy; and performing fusion processing on the heterogeneous data in the sliding time window according to the selected fusion strategy to generate a global traffic situation view with a data quality identifier.

The present invention belongs to the field of electric ceramic stove testing, and in particular, relates to an aging test device for a multi-head electric ceramic stove assembly, comprising a test bench with a placement slot on the upper part and a plurality of test dishes, wherein the multi-head electric ceramic stove body is placed in the placement slot of the test bench, and the plurality of test dishes are located on the upper part of the multi-head electric ceramic stove body, and are centrally symmetrically distributed on the upper part of the multi-head electric ceramic stove body, and a shell is fixedly arranged directly above the test bench, and a test mechanism for cooperating with the test tool to test the multi-head electric ceramic stove body is arranged inside the shell, and a driving mechanism is arranged on the right side wall of the shell, and the test mechanism includes a calibration component, a collision component and a pushing component. The present invention can perform friction, collision, power instability and oil splashing tests on the microcrystalline plate on the multi-head electric ceramic stove body through the cooperation of the test tool and the test mechanism, so that the test is closer to the actual use scenario, and the test results are more comprehensive and sufficient.

The invention relates to the technical field of power distribution networks, in particular to a power distribution network reliability evaluation method and device considering low-voltage spare power automatic switching. Comprising the following steps: acquiring power failure frequency and power failure time of each user in a high-voltage system in a power distribution network and power failure frequency and power failure time of each user in a low-voltage system, and determining a power failure time expected value of the high-voltage system; determining a power failure time expected value and a power failure frequency expected value of the middle-high voltage system according to the power failure frequency and the power failure time of each user in the middle-high voltage system; acquiring power failure frequency and power failure time of each user in a low-voltage system in the power distribution network, and determining a power failure time expected value and a power failure frequency expected value of the low-voltage system; and determining the reliability of the power distribution network according to the power failure time expected value of the middle-high voltage system and the power failure time expected value of the low-voltage system.

A simulation failure identification and physical acceleration fusion-based MEMS sensor accelerated life test method comprises the following steps: aiming at environmental stress information of an MEMS sensor in a predetermined task process, identifying a failure form and a weak part by using structure simulation, and carrying out simulation evaluation on candidate acceleration stress working conditions constructed around the weak part; according to a preset life, a reliability requirement and a test resource constraint, selecting a combination of a stress level, test time and a sample number from the candidate working conditions to form an accelerated life test design scheme of the MEMS sensor; according to the method, the test period can be shortened on the premise that the test representativeness and accuracy are guaranteed, the test cost is reduced, and the effectiveness and universality of the reliability test design of the MEMS sensor are improved.

The invention discloses a dental implant fatigue tester and a test method, and relates to the technical field of load fatigue monitoring. Comprising an energy supply assembly used for providing driving force for intermittent rotation, a placing plate is installed on the top face of the energy supply assembly and used for installing a carrying assembly and a control terminal, a plurality of test parts used for testing fatigue of the dental implant are installed on the top of the carrying assembly, and power of the test parts is transmitted by the energy supply assembly penetrating through the placing plate. And the controller is controlled by the control terminal. According to the invention, through cooperation of the pressurization assembly and the heating assembly and accurate control of the trigger assembly, comprehensive fatigue test of the dental implant in a complex oral environment is realized, pressure change of the dental implant in a daily chewing process is simulated, and influence of different temperatures on the performance of the dental implant is considered, so that the dental implant can be chewed more accurately. Therefore, the durability and the reliability in practical application can be evaluated more accurately.

The invention relates to a method for calculating deicing composite failure probability of an iced power transmission line based on conditional probability, and belongs to the technical field of safe deicing of the iced power transmission line. The composite failure probability of the ice-coated power transmission line is finally determined by calculating the deicing safety probability of the ice-coated power transmission line, determining the truncation probability distribution of the ice-coated thickness of the power transmission line, determining the yield limit performance function of the power transmission line, calculating the stress of the power transmission line and calculating the reliability and the failure probability. A reliability evaluation system during deicing of the iced power transmission line is comprehensively and simply established, a probability-based evaluation index is provided for normal service of the iced power transmission line, and the icing disaster resistance of the power transmission line is improved. According to the method, multiple factors such as the deicing technology types, the icing thickness deviation degree during deicing and the ice body falling duration are comprehensively considered, the deicing reliability of the ice-coated power transmission line can be analyzed more comprehensively and accurately, the icing disaster resisting capacity of the power transmission line is improved, and power transmission accidents caused by icing are reduced.

The invention provides a method and a kit for detecting blood concentration of compound sulfamethoxazole and metabolite thereof. According to the method, a methanol precipitator is combined with Oasis PRiME HLB reversed-phase solid-phase extraction, the centrifugal process of plasma treatment is reduced, traditional activation and balance steps are omitted, time is saved, meanwhile, the method is more environmentally friendly, and the extraction recovery rate of a to-be-detected substance can be improved; gradient elution is replaced by isocratic elution, the balance returning time is avoided, the overall operation time is shorter, the separation application is not influenced, the operation time is only 6 minutes, all the to-be-measured substances can be accurately and simultaneously measured only by 1 microliter, and the peak appearance time is 2 minutes. According to the invention, trimethoprim, sulfamethoxazole and metabolites thereof sulfamethoxazole-N-acetyl and 4-nitro sulfamethoxazole in human plasma can be monitored at the same time by using a treatment method and a computer method.

The invention provides a resistor detection method and related equipment. The method comprises the following steps: acquiring a plurality of groups of resistors; the resistor comprises a substrate, a first electrode layer and a barrier layer; the number of each group of resistors in the plurality of groups of resistors is the same; dividing the plurality of groups of resistors into two classes to obtain a first class of resistors and a second class of resistors; the group number of the first-class resistors is the same as that of the second-class resistors; piercing the barrier layer of the first-class resistor to obtain a target-class resistor; welding a second electrode layer into the target type resistor and the second type resistor; and comparing the detection target type resistor with the second type resistor to obtain a detection result. According to the invention, the influence on the resistor when the barrier layer has defects is simulated and verified, so that the reliability and durability of the resistor are evaluated more comprehensively, and defective products are further prevented from being generated.

The application relates to the battery technical field, in particular to a single cell expansion effect testing device. The single cell expansion effect testing device comprises a first clamping plate and a second clamping plate, the first clamping plate and the second clamping plate are clamped on the two sides of the thickness direction of a single cell, the first clamping plate is provided with first sliders slidable along a second direction on the two sides along a first direction, the second clamping plate is provided with second sliders slidable along the second direction on the two sides along the first direction, the first sliders and the second sliders on the same side are connected with fasteners, the first clamping plate and the second clamping plate clamp the cell, the state that the single cell is clamped between other two cells in a battery pack is simulated, and the position of the fastener can be adjusted according to simulation results, so that the expansion effect of the single cell in the actual use of the battery pack is effectively simulated, the effect of the equivalent battery pack is achieved, the safety and reliability of the battery are more accurately evaluated, and the test cost is effectively reduced.

The invention discloses a method and device for determining the reliability of a generator set, a storage medium, an electronic device and a computer program product, and relates to the technical field of power generation. Determining whether the generator set is abnormal according to the operation data; under the condition that it is determined that the generator set is abnormal, determining an abnormal target component of the generator set based on the abnormal operation data and a preset fault analysis model; according to the operation data of the target component and a preset reliability prediction model, the reliability of the generator set is determined, and the reliability is used for indicating the fault probability of the generator set. By adopting the method, the reliability of the generator set can be evaluated in real time, and the running state of the generator set can be monitored in real time.

The invention relates to the technical field of loan overdue customer grouping, and discloses a loan overdue customer grouping method. A customer grouping importance set is formed by acquiring repayment behaviors, basic information, credit scores, loan amounts and purposes of users, a score formula and an initial weight coefficient of each element are designed, a weight adjustment strategy is combined, and finally the importance and the weight of each element are fused, so that the user comprehensive scoring method is obtained. Through multi-dimensional information integration, a financial institution can scientifically carry out user grouping and risk control, and the accuracy of loan approval and the quality of personalized financial services are improved. A weight distribution and adjustment strategy ensures scientificity and rationality of evaluation, and excessive influence of a single factor on an evaluation result is avoided, so that comprehensive evaluation and accurate classification management of the user credit status are realized. Therefore, all aspects of the credit status of the user can be comprehensively and systematically covered, and the comprehensiveness and accuracy of evaluation can be ensured.