36results about How to "Fast and accurate evaluation" patented technology

The invention discloses an on-orbit satellite image geometric positioning accuracy evaluation method on the basis of multi-source remote sensing data. The on-orbit satellite image geometric positioning accuracy evaluation method comprises the following steps: Step 1, regulating an image to be evaluated and a reference image into two images under the condition of the same spheroid, datum plane and resolution; Step 2, carrying out down-sampling on the two images and carrying out radiometric enhancement; Step 3, carrying out rough matching on the two images by using an Surf (Speed up robust features) algorithm and removing mismatched dot pairs by epipolar geometry; Step 4, according to a rough matching result, carrying out geometrical relationship compensation on the image to be evaluated and carrying out accurate blocking on the image to be evaluated, which is subjected to geometrical compensation, and the reference image; Step 5, aiming at block pairs of the image to be evaluated and the reference image, carrying out precise matching by using the Surf algorithm and removing mismatched dot pairs by epipolar geometry; Step 6, calculating external geospatial positioning accuracy and calculating internal geospatial positioning accuracy according to the screened direction control dot pairs. The on-orbit satellite image geometric positioning accuracy evaluation method can realize automatic, rapid and accurate evaluation on multisource high-accuracy remote sensing images from different sensors, different spectral regions and different time phases.

The invention discloses a device for evaluating image quality of a near-eye display optical lens and is applicable to rapid detection in commercial production. The device comprises a micro display screen, an optical lens to be evaluated, a first CCD camera, an image collection card and a computer, wherein the micro display screen is used for displaying a standard test plate pattern; the pattern is taken as an object; images formed after transmitting by the optical lens are received by CCD camera; the image collection card is used for collecting the images and subsequently displaying the images on the computer. With the adoption of the micro display, the operation is greatly simplified without the process of manufacturing the standard test plate; the test plate is colorful and capable of testing the color reduction degree of an optical system; a plurality of physical parameters for expressing the optical lens to be evaluated can be obtained by detecting at one time, and the physical parameters include a field angle, the color reduction degree, a contrast ratio, a resolution ratio, an MTF value and the like. According to the technical scheme, the device can be used for quickly and accurately evaluating the imaging quality or the performance level of the optical lens and is relatively convenient to use.

The invention discloses an evaluation method for image quality of a near-to-eye display optical lens. The evaluation method for the image quality of the near-to-eye display optical lens is suitable for the fast detection in commercialized production. The evaluation method for the image quality of the near-to-eye display optical lens includes that letting an experimenter observe a sample lens with performance parameters, extracting the group of physical parameters relatively sensitive to the visual perception of a human eye through a counting mode, quantizing the group of physical parameters to obtain a parameter interval corresponding to an image quality capable of being received by the human eye, and using the parameter interval as a subjective evaluation standard. The evaluation method for the image quality of the near-to-eye display optical lens uses a suit of evaluation devices for the image quality of the near-to-eye display optical lens to quickly detect the optical lens to be measured to obtain the physical parameter quantized values and compare the results with objective measured values to build a relationship between the subjective and objective. A quick detection system which has built the relationship can precisely and quickly evaluate the image quality of the optical system according to the detected lens parameters and subjective evaluation standard. By means of the technical scheme, the evaluation method for the image quality of the near-to-eye display optical lens is capable of quickly and precisely evaluating the imaging quality or performance of the optical lens, and the method is very convenient to use.

The invention provides a pavement disease recognition method based on image analysis. The pavement disease recognition method based on image analysis comprises the following steps: step one, acquiring pavement images; step two, preprocessing the pavement images; step three, carrying out segmentation processing on the diseases in the preprocessed pavement images; step four, carrying out feature extraction and measurement on the diseases in the pavement images, specifically carrying out feature extraction and measurement on the diseases in the pavement images in the step three by using an outline area algorithm and an edge detection algorithm successively; and step five, outputting results, specifically accurately positioning the classified and measured diseases on the basis of the geographical location information in the step one through a controller and then outputting the results. By the technical scheme of the invention, labor can be relieved, interference of artificial subjective factors is eliminated, road conditions can be evaluated quickly and accurately, and the shortcomings that cracks are classified by manual judgment, working efficiency is low, error rate is relatively high and the like are overcome.

Embodiments of the invention provide a neural network-based reservoir micropore structure evaluation method and device. The method comprises steps of: acquiring rock core pore structure data obtainedbased on a rock core high pressure mercury experiment, and the type of a rock core pore structure corresponding to the rock core pore structure data; aligning rock core depth and well measurement depth according to a density curve in rock core density and well measurement data, obtaining well measurement data corresponding to the rock core, and obtaining pre-processed well measurement data; training an initial neural network model with pre-processed well measurement data as input and the type of the rock core pore structure as output, and obtaining a trained neural network model; and inputtingtarget well measurement data into the trained neural network model when the reservoir microstructure of the target well needs to evaluate, and obtaining pore type corresponding to the target well measurement data. The reservoir micropore structure can be evaluated rapidly and accurately.

A method and apparatus for non-destructively determining borehole stress parameters, that measures acoustic velocities in the rock formation. The apparatus or laser ultrasonic apparatus involving an acoustic signal generator and at least one interferometer sensing unit with shared reference is used to perform non-contact measurement. Horizontal and vertical stresses are evaluated in more than three angular directions (sometimes called azimuths) around the axis of the borehole using acoustoelastic principle. The magnitudes and directions of principal pristine stresses in the rock formation are derived from the measurement data by using closed-form solutions. Magnetometer is used to determine the angular direction of the stress measurement.

The invention provides a quantitative assessment method and system of coal seam stability. The method comprises the steps that parameter information of a target object is obtained, and the parameter information comprises a coal point sum, a coal point number, measured thickness of each coal point and average coal seam thickness, wherein the coal seam thickness of the coal point number is larger than or equal to coal seam minimum recoverable thickness; according to the coal point sum and the coal point number of the target object, a coal seam recoverability index of the target object is obtained; according to the measured thickness of each coal point, the coal point sum and the average coal seam thickness, a mean square error value of the target object is obtained; according to the averagecoal seam thickness and the mean square error value, a coal seam thickness variable coefficient of the target object is obtained; according to the coal seam recoverability index of the target object and the coal seam thickness variable coefficient of the target object, the coal seam stability of the target object is assessed, operation is simple, the coal seam stability can be assessed faster andmore accurately, and coal mining design is better served.

The invention discloses a road traffic safety evaluation method based on a conflict extreme value, and relates to a road traffic safety evaluation method. The objective of the invention is to solve the problem of poor timeliness of a safety evaluation method for traffic conflicts at the present stage. The method comprises the following steps: 1, selecting a traffic conflict index, and obtaining traffic conflict data according to the selected traffic conflict index; 2, constructing a block extreme value distribution model according to the traffic conflict data obtained in the step 1; the methodcomprises the following specific steps: 1, carrying out regional division on obtained traffic conflict data; 2, obtaining extreme value data of the zone group; 2, constructing a block extreme value distribution model; 2, estimating the block extreme value distribution model by adopting a maximum likelihood method to obtain parameters in the block extreme value distribution model; and 3, evaluating the traffic safety level based on the conflict extreme value distribution model in the step 2. The method is applied to the field of traffic safety evaluation.

The invention discloses an image measuring method for evaluating oil pipe pitting behaviors. By means of the corrosion weight loss method and the micro-measurement technology, a proper datum plane is built on the surface of a slide through a coating method, proper temperature, proper pressure and a proper medium are selected, different corrosion time is controlled, the number and the size of pitting generated on the surface of the slide are effectively controlled, then large-scale image scanning is conducted on the slide through a measurement microscope, image information of a metal surface at the same position before corrosion and after corrosion is compared, and accordingly evaluation in the aspects of generation and development positions of pitting on the surface of an oil pipe, the number, the pit size and appearance is achieved. Relative information of a large amount of pitting can be obtained qualitatively and quantitatively, important bases are provided for researching generation and development of the oil pipe pitting behaviors, and the method has important research and application value.

The invention relates to a method for rapidly evaluating the crack resistance of the cement-based material, comprising the following steps: testing the crack resistance and the mechanical properties of the cement-based material to be evaluated, drawing an inner steel ring strain development curve which changes with time according to the obtained inner ring strain, calculating the circumferential tensile stress of the cement-based material, drawing a circumferential tensile stress curve which changes with time of the cement-based material, calculating the tensile strength which changes with time of the cement-based material according to the measured mechanical properties of the cement-based material, and evaluating the crack resistance of the cement-based material according to the circumferential tensile stress curve secant slope, the ratio of the circumferential tensile stress to the tensile strength of the cement-based material with the age of 14d and the ratio of the stress decrease value of the cement-based material at the first mutation age and in the first mutation period to the tensile strength of the cement-based material of the same age. The method is simple, practical, accurate and reliable. Due to the adoption of the method, the construction period of the building structure is not affected, the subsequent repair is avoided, the crack risk is reduced, the durability and the safety of the structure are improved, and the service life is prolonged.

The invention provides a portable water and soil conservation benefit evaluation device based on a water and soil loss calculation equation. The device comprises a shell, a control unit in the shell and a remote data server, wherein the control unit uploads obtained data to the remote data server through a wireless network and comprises a data processing unit, a storage unit with a database, a wireless communication unit and a GPS navigation unit, wherein the storage unit, the wireless communication unit and the GPS navigation unit are respectively in communication connection with the data processing unit. According to the invention, the water and soil loss calculation equation is combined with the water and soil conservation benefit evaluation, the water and soil loss evaluation value of a piece of land is obtained by calculating the water and soil loss quantity of the land under different water and soil conservation measures, and the water and soil loss situation can be quantitatively evaluated in a scientific and normative manner; moreover, the water and soil conservation measures for the land can be evaluated under three conditions.

A device (100) for processing an input signal (102), the device (100) comprising a delay unit (104) adapted for delaying the input signal (102) by a predefined delay time, at least one phase shifting unit (106) each adapted for phase shifting the delayed input signal (108) by an assigned phase value, a plurality of mixer units (110) each adapted for mixing the input signal (102) with the delayed input signal (108) or with one of the at least one phase shifted signal (112), and an extraction unit (114) adapted for extracting information from each of the mixed signals (116).

The invention relates to the technical field of teaching management systems, in particular to a checking system of an electronic class card machine for student homework. The system comprises a management host, the management host is connected with a plurality of class management modules through a network, each class management module comprises a control mainboard, and the control mainboard is connected with a network transmission module through a wire. The network transmission module is in signal connection with the management host through a network, the control mainboard is connected with a homework management module and a touch display screen through wires, the touch display screen is used for achieving man-machine interaction, and the homework management module comprises an homework publishing module and an homework uploading module. The homework publishing module and the homework uploading module are jointly connected with a review scoring module through wires, an automatic scoringmodule is connected with a comparison module through a wire, and the review scoring module is connected with a chart display module through a wire. The system can achieve the publishing, uploading and checking of the homework of students, and facilitates the teaching management.

The invention discloses an on-orbit satellite image geometric positioning accuracy evaluation method on the basis of multi-source remote sensing data. The on-orbit satellite image geometric positioning accuracy evaluation method comprises the following steps: Step 1, regulating an image to be evaluated and a reference image into two images under the condition of the same spheroid, datum plane and resolution; Step 2, carrying out down-sampling on the two images and carrying out radiometric enhancement; Step 3, carrying out rough matching on the two images by using an Surf (Speed up robust features) algorithm and removing mismatched dot pairs by epipolar geometry; Step 4, according to a rough matching result, carrying out geometrical relationship compensation on the image to be evaluated and carrying out accurate blocking on the image to be evaluated, which is subjected to geometrical compensation, and the reference image; Step 5, aiming at block pairs of the image to be evaluated and the reference image, carrying out precise matching by using the Surf algorithm and removing mismatched dot pairs by epipolar geometry; Step 6, calculating external geospatial positioning accuracy and calculating internal geospatial positioning accuracy according to the screened direction control dot pairs. The on-orbit satellite image geometric positioning accuracy evaluation method can realize automatic, rapid and accurate evaluation on multisource high-accuracy remote sensing images from different sensors, different spectral regions and different time phases.

The invention discloses an intelligent diagnosis method and diagnosis system for an in-vehicle jitter problem under a vehicle start-stop working condition. The method comprises the following steps: 1) carrying out band-pass filtering on acceleration time domain data of a steering wheel and a seat in a vehicle start-stop process, and then carrying out effective data segment interception; 2) calculating an acceleration four-power vibration dose value of the effective data segment, and judging the in-vehicle jitter degree; 3) when the in-vehicle jitter is abnormal, performing spectral analysis on the abnormal acceleration time domain data segment to find out the main problem frequency of the in-vehicle jitter; and 4) obtaining the reason and solution suggestion of the in-vehicle jitter by using an in-vehicle jitter problem matching model. According to the method, the in-vehicle jitter degree is judged by utilizing the vibration dose of the acceleration of 4 times, the judgment result is accurate and rapid, meanwhile, the in-vehicle jitter abnormal reason and solution suggestion can be obtained, and the in-vehicle jitter diagnosis problem under the vehicle start-stop working condition is well solved.

A device (100) for processing an input signal (102), the device (100) comprising a delay unit (104) adapted for delaying the input signal (102) by a predefined delay time, at least one phase shifting unit (106) each adapted for phase shifting the delayed input signal (108) by an assigned phase value, a plurality of mixer units (110) each adapted for mixing the input signal (102) with the delayed input signal (108) or with one of the at least one phase shifted signal (112), and an extraction unit (114) adapted for extracting information from each of the mixed signals (116).

The invention discloses a quick evaluation method and system for susceptibility to post-earthquake secondary geological disasters. The method comprises the steps of determining evaluation indexes of the susceptibility to the post-earthquake geological disasters, digitizing each evaluation index, conducting discretization on continuous variables to obtain sample points in sample areas, calculatingthe occurrence proportion of the geological disasters within discrete partitions corresponding to the evaluation indexes to determine the corresponding fitting functions of each evaluation index, inputting values of each evaluation index in each sample point into the corresponding fitting functions to obtain sensitivity calculation results, determining an evaluation model of an quick evaluation ofthe susceptibility to the post-earthquake secondary geological disasters, for any to-be-evaluated points, substituting the sensitivity calculation results corresponding to each evaluation index of the to-be-evaluated points into the evaluation model, the closer an acquired value is to 0, the less likely the evaluation point is to have the post-earthquake geological disaster, and the closer the acquired value is to 1, the more likely the evaluation point is to have the post-earthquake geological disaster. By means of the method, the accuracy of an evaluation of the susceptibility to the post-earthquake secondary geological disasters is improved.

The invention discloses a rapid evaluation method for the electrochemical corrosion resistance of a metal bipolar plate coating of a fuel cell, comprising the following steps: firstly, obtaining the contact resistance data of the coating after different corrosion times under a constant potential; then comparing the obtained contact resistance value to Perform exponential regression on the corrosion time, or perform linear regression on the logarithmic value of the contact resistance against time to obtain the corresponding growth coefficient of the potential; then introduce the contact resistance measurement error function; then combine steps 1, 2 and 3 to obtain the contact resistance and corrosion potential , corrosion time, to achieve the purpose of off-line test to quickly evaluate the electrochemical corrosion resistance of the metal bipolar plate coating of the fuel cell. The method of the invention can quickly evaluate the method and improve the performance evaluation accuracy; the method of the invention evaluates the tolerance of the coating to different corrosion potentials; the equipment adopted in the invention is simple and easy to control, and reduces the time and cost of online service testing.

An auxiliary analysis system using expert information comprises a user interface and a determination module. The user interface includes a plurality of analysis items which can be triggered by a user. The determination module coupled with the user interface includes a plurality of preliminary results corresponding to the analysis items. Each of the analysis items corresponds to at least one of the preliminary results. The user selects a plurality of analysis items to generate multiple preliminary results, and the preliminary results further generate a final judgment result by an operation process.

The invention relates to a partial reference quality evaluation method for a super-resolution reconstructed image based on wavelet transform. According to the technical scheme, the method comprises the following steps of firstly, carrying out blocking operation on a low-resolution image Io and a super-resolution reconstructed image Is to respectively obtain M image blocks; respectively carrying out wavelet transformation on the M image blocks; determining a threshold T, fitting the wavelet sub-band coefficient c'ji corresponding to the wavelet sub-band of the lth image block of the low-resolution image Io with the variance greater than the threshold T into a generalized Gaussian model; fitting the wavelet sub-band coefficient of the lth image block of the low-resolution image Io to a firstfitting parameter ol and a second fitting parameter ol of a generalized Gaussian model; correspondingly, obtaining a first fitting parameter sl and a second fitting parameter sl of the lth image block of the super-resolution reconstruction image Is; and finally obtaining an image quality evaluation value D. According to the method, the quality of the super-resolution reconstructed image Is can berapidly and accurately evaluated only by utilizing the information of the low-resolution image Io, and the robustness is high.

The invention discloses a reinforced concrete member anti-collision performance prediction method based on machine learning, and the method comprises the following steps: obtaining impact test parameters and member characteristic parameters of a reinforced concrete member, constructing a data set, and randomly dividing the data set into a training set and a prediction set; determining an artificial neural network topological structure, and obtaining a trained residual performance prediction model; adopting a prediction set to check the prediction performance of the trained model until the appropriate prediction precision is achieved; and for a specific reinforced concrete member, performing predicting by utilizing the trained residual performance prediction model to obtain a vulnerable curved surface of the reinforced concrete member. According to the invention, based on a machine learning algorithm, the residual performance of the RC component after impact is used as an index, and a rapid and reliable method for predicting and evaluating the impact resistance of the RC component is established. By fully using the existing historical test data, the impact resistance of the RC component can be evaluated more quickly and accurately.

The invention discloses a biomimetic moisturizing model and an assessment method thereof. The biomimetic moisturizing model comprises an incubator, a water tank placed in the incubator and a biomimetic membrane module placed above the water tank, wherein the biomimetic membrane module comprises a test layer and a biomimetic membrane. The biomimetic moisturizing model of the invention can simulatethe skin of a living body, has a moisturizing effect test conclusion consistent with that of a skin model of the living body, can quantitatively evaluate a product to be tested, can be used for studying the influences of different components on the moisturizing effect and quantifying assess the moisturizing effect, provides a data support for formula design of skin moisturizing products, is applied to guide formula screening, and provides a faster screening method and theoretical support for product design.

Embodiments of the present invention provide a neural network-based evaluation method and device for microscopic pore structure of reservoirs, the method comprising: acquiring core pore structure data obtained based on high-pressure mercury injection experiments on cores, and obtaining core pore structure data corresponding to the core pore structure data category; according to the core density and the density curve in the logging data, the core depth is aligned with the logging depth to obtain the logging data corresponding to the core, and continue to obtain the pre-processed logging data; the pre-processed logging data is used as Input and the category of the core pore structure are used as output to train the initial neural network model to obtain a trained neural network model; when it is necessary to evaluate the reservoir microstructure of the target well, input the target well logging data into the trained The neural network model can obtain the pore category corresponding to the target logging data, and can accurately and quickly evaluate the microscopic pore structure of the reservoir.

The invention provides a portable water and soil conservation benefit evaluation device based on a water and soil loss calculation equation. The device comprises a shell, a control unit in the shell and a remote data server, wherein the control unit uploads obtained data to the remote data server through a wireless network and comprises a data processing unit, a storage unit with a database, a wireless communication unit and a GPS navigation unit, wherein the storage unit, the wireless communication unit and the GPS navigation unit are respectively in communication connection with the data processing unit. According to the invention, the water and soil loss calculation equation is combined with the water and soil conservation benefit evaluation, the water and soil loss evaluation value of a piece of land is obtained by calculating the water and soil loss quantity of the land under different water and soil conservation measures, and the water and soil loss situation can be quantitatively evaluated in a scientific and normative manner; moreover, the water and soil conservation measures for the land can be evaluated under three conditions.

The invention discloses a bionic moisturizing model and an evaluation method thereof, a constant temperature box, a water tank placed in the constant temperature box, and a bionic membrane component placed above the water tank; the bionic membrane component includes a test layer and a bionic membrane. The bionic moisturizing model of the present invention can simulate biological skin, has a moisturizing effect test conclusion consistent with the biological skin model, and can perform quantitative evaluation on the product to be tested, and can be used to study the influence of different components on moisturizing effect and quantify Evaluate it accurately, provide data support for formula design of moisturizing and emollient products, and apply it to guide formula screening, and provide faster screening methods and theoretical support for product formula design.

A method for judging the uneven operation of the hearth of a blast furnace, which collects the actual tapping and slag information of each furnace of molten iron in the blast furnace, and records the tapping times of the blast furnace, the actual amount of iron tapping, the actual amount of slag tapping, the tapping time, Slagging time, taphole depth, molten iron temperature, molten iron composition, and then calculate the iron flow rate and slag seeing rate at each tapping, and remove the data during the blast furnace ditch repair period to establish the daily slagging and iron tapping of each taphole of the blast furnace Information, according to the actual iron output, actual slag output, silicon content, molten iron temperature, iron flow speed and slag seeing rate conditions of the target iron hole, to judge whether there is uneven work in each iron hole of the blast furnace. The present invention is based on the slag discharge parameters of each tap hole during each tap, combined with the uniformity of air supply at the lower tuyeres and the setting of furnace top material distribution, diagnoses the uniformity of the hearth, and finds out the unevenness of the hearth The reason is to optimize the tapping system, air supply system and cloth system, which is fast and accurate.

The invention discloses an evaluation method for image quality of a near-to-eye display optical lens. The evaluation method for the image quality of the near-to-eye display optical lens is suitable for the fast detection in commercialized production. The evaluation method for the image quality of the near-to-eye display optical lens includes that letting an experimenter observe a sample lens with performance parameters, extracting the group of physical parameters relatively sensitive to the visual perception of a human eye through a counting mode, quantizing the group of physical parameters to obtain a parameter interval corresponding to an image quality capable of being received by the human eye, and using the parameter interval as a subjective evaluation standard. The evaluation method for the image quality of the near-to-eye display optical lens uses a suit of evaluation devices for the image quality of the near-to-eye display optical lens to quickly detect the optical lens to be measured to obtain the physical parameter quantized values and compare the results with objective measured values to build a relationship between the subjective and objective. A quick detection system which has built the relationship can precisely and quickly evaluate the image quality of the optical system according to the detected lens parameters and subjective evaluation standard. By means of the technical scheme, the evaluation method for the image quality of the near-to-eye display optical lens is capable of quickly and precisely evaluating the imaging quality or performance of the optical lens, and the method is very convenient to use.

The invention discloses a personal credit rating evaluation method and device, which can be applied to the field of big data or finance, and comprises the steps of determining an attribute value of attribute information of a customer, establishing an attribute coordinate system according to the attribute information and the attribute value, determining a coordinate value from the attribute coordinate system according to the attribute value, and evaluating the personal credit rating. Determining each attribute standard interval corresponding to the customer in a preset attribute standard interval set, judging whether all the coordinate values are matched with each attribute standard interval or not, and if alternative attribute standard intervals which are not matched with all the coordinate values exist in each attribute standard interval, calculating to obtain a similar value corresponding to each alternative attribute standard interval, and determining the alternative attribute standard interval corresponding to the maximum similar value as a target attribute standard interval, determining a credit level corresponding to the target attribute standard interval, and determining the credit level corresponding to the target attribute standard interval as the personal credit level of the customer. By applying the method provided by the invention, the personal credit rating of the customer can be quickly and accurately evaluated.