82 results about "Comparison standard" patented technology

The invention relates to an automatic optic detecting system and method. The system comprises a mechanical system and a control system, wherein the mechanical system is mainly composed of a support, a detecting platform, an image collecting box, a cylinder positioning assembly and a workpiece tray; and the control system is mainly composed of an image collecting assembly, a light source controller, an LED (Light Emitting Diode) light source, a singlechip, a PLC (Programmable Logic Controller) module and a computer. According to the method, template data of a to-be-detected workpiece are obtained through a part detecting module; a template database is established; the data of the template database is derived from the picture signals of a qualified workpiece; and the picture signals of the qualified workpiece are simultaneously collected by digital cameras at multiple positions and serve as a comparison standard of detecting the picture signals of the same to-be-detected workpiece. The automatic optic detecting system disclosed by the invention has the characteristics of non-contact, multidimensional detection, fastness, high efficiency, accuracy and the like and has the advantages that the workpiece and surface mounted components thereof can be effectively detected and managed and the automatic detection of installation defects of the workpiece and the surface mounted components of the workpiece is realized.

The invention relates to the technology of the near space aerocraft. In order to provide a system-level consistency check novel model verification system output on the basis of the dynamic time sequence of the near space aerocraft model, give qualitative model verification based on the monte carlo method, carry out risk analysis to the model, comprehensively carry out consistency check to a model to be verified and give a visual verification criterion, the invention adopts the technical scheme that the verification and simulation realization method for a near space aerocraft model comprises the following steps of: (1) on the basis of the monte carlo simulation method, carrying out qualitative verification; (2) carrying out the qualitative model verification based on a time domain analysis method; and (3) carrying out qualitative model verification based on risk analysis, taking a model parameter as a risk to give a visual qualitative model verification criterion, giving a model comparison standard when a plurality of models to be verified exist, verifying whether the model can be safely used, and giving a safe-use range. The verification and simulation realization method for a near space aerocraft model, which is disclosed by the invention, is mainly applied to the design of the near space aerocraft.

The invention provides a double-station carrier tape detection system based on machine vision and machine learning, aiming at realizing an automatic detection function of carrier tape sizes and defects. Hardware design and model selection are carried out on the detection system according to detection precision and specification requirements on detected carrier tapes; an image processing algorithm suitable for carrier tape detection is designed and system detection software is written. A detection manner takes standard qualified carrier tape sample images as a training set. Characteristic quantity information of an image of a detection region is acquired from the standard qualified carrier tape sample images and is used as a comparison standard for online detection. If a certain characteristic quantity of the detected image is not in an allowable error range, the double-station carrier tape detection system is shut down and an alarm is sent; defects in defect images are identified through a support vector machine method. The system is high in detection efficiency and good in detection precision and manual operation is reduced.

The invention provides an analysis method for infant brain medical computer scanning images and a realization system. The analysis method is to process the brain medical computer scanning images into images with prominent fractal characteristics, and then perform mathematic quantitative analysis on the images by a chaos fractal analysis method. The method is realized under Matlab R2007 through programming, utilizes chaotic neural network and fractal principles, performs serialized division, identification and fractal mode analysis on the infant brain medical computer scanning images to obtain fractal dimension quantified reference values and quantified reference values of multifractal spectrum width of normal infant brain medical computer scanning images in different age brackets, realizes clinical prediction on sick infants with intelligent disability and brain paralysis which have no typical neural image manifest characteristics by taking the reference values as a comparison standard, thoroughly changes the conventional analysis mode for the infant brain medical computer scanning images, and has high accuracy and strong repeatability compared with scoring results of the clinically widely used Gesell scale.

The invention relates to a preparation method of a nutrient solution for culturing a nutrient-deficient wheat seedling. The nutrient-deficient nutrient solution for culturing at a wheat seedling stage is prepared from the following nutrition elements of a total nutrient solution, NO<3->, NH<4+>, H2PO<4->, K<+>, Ca<2+>, Mg<2+>, SO4<2->, Cu<2+>, Fe<2+>, Mn<2+>, Zn<2+>, H3BO3, Mo7O24<6-> and Cl<-> in the molar ratio of (3.5-5):2:(0.5-1):(2.5-4.5):(1-2):(0.25-0.5):(1.78-2):0.003:0.025:0.003:0.002:0.01:0.0001:0.016, wherein when one of the nutrition elements is omitted, the molar ratio of other nutrition elements is kept unchanged. Judgment on soil nutrient deficiency in a wheat seedling growing process is guided by taking the nutrient-deficient wheat seedling cultured by using the obtained nutrient-deficient nutrient solution as a comparison standard, a fertilizer is effectively supplemented and scientific fertilizer application is performed, so that the yield and quality of wheat are enhanced.

The invention relates to an induction voltage divider based method for judging detection error exception of a voltage transformer. According to a transformer error theory and an induction voltage divider theory, the method cascades an induction voltage divider and a standard voltage transformer to form a comparison standard voltage transformer in any transformation ratio for respectively comparing the errors of a voltage transformer to be tested and the standard voltage transformer so as to accurately judge exceptional error reasons occurring in the on-site detection process of the voltage transformer. The invention has the advantages of high accuracy grade, small size, portability, convenient judgment method, strong operability, low cost, high efficiency, scientific and accurate conclusion, and the like and is suitable for judging and processing the error exception in the detection process of the voltage transformer on site or in a laboratory.

The invention discloses a device for checking a brake system, wherein the device comprises an acquirer, a calculator and a comparator, wherein the acquirer is used for acquiring the original data of the brake system, the calculator is used for calculating the original data depending on a preset calculating rule to obtain a calculating result, and the comparator is used for comparing the result which is calculated by the calculator with a preset comparison standard and for judging whether the original data is ineffective depending on the comparison result. The device for checking the brake system can automatically calculate various original data depending on a preset calculating rule, compare the calculating result with a comparison standard, and judge that the original data is ineffective in case that the comparison result fails to meet the preset condition or judge that the original data are effective when the comparison result meets the preset condition; and the device is short in calculation duration, short in checking cycle and high in checking efficiency.

The invention relates to a multi-level human face comparison system and method. The method comprises the following steps that a first human face image is transformed into a first grey level image, and the overall feature and the local feature of the first grey level image are extracted and saved; a second human face image is transformed into a second grey level image, the overall feature of the second grey level image is extracted, and the overall feature of the second grey level image is compared with the overall feature of the first grey level image; if comparison succeeds, the local feature of the second grey level image is extracted, and the local feature and the overall feature of the second grey level image are put into a standard comparison library; if comparison fails, the local feature of the second grey level image is extracted and compared with the local feature of the first grey level image; if comparison succeeds, the local feature and the overall feature of the second grey level image are put into the standard comparison library. Compared with the prior art, overall comparison and local comparison are combined, and thus the accuracy of human face comparison is improved; furthermore, the comparison standard can be automatically updated, and the application range is enlarged.

The invention provides a method and an apparatus for locating an image edge in a natural background. The method comprises the following steps of: for an image in the natural background, extracting a central color feature as a comparison standard; comparing with the central color feature, and extracting a plurality of to-be-selected points for each edge of the image according to the comparison result; grouping the plurality of to-be-selected points corresponding to the edge according to distance and / or direction to obtain a plurality of to-be-selected point groups; fitting a corresponding fitted line with the to-be-selected points in each to-be-selected point group; selecting the fitted line with the maximum number of the to-be-selected points and close to the edge, and locating the selected line as the edge. With the method provided by the invention, calculation load of an executive body is reduced, speed of locating the edge of the image is improved, interference of edges in the natural background is avoided, and accuracy of locating of the edge of the image is improved.

The invention relates to an automatic detection device of plane figure color shading based on machine vision technology. The automatic detection device of the plane figure color shading comprises a camera, a memorizer, a displayer and a processor. The camera shoots a plurality of plane figures on work pieces. The processor stores images shot by the camera in the memorizer. The processor establishes a first classification and a comparison standard. A deviation value is obtained by comparing an image shot for the K+1th time with the comparison standard. The deviation value is judged whether exceeding an allowed error range value or not. When the deviation value is in the allowed error range value, the image shot for the K+1 time are classified as the first classification. When the deviation value is beyond the allowed error range value, a second classification and a comparison standard are established. The displayer displays each classification result obtained. The automatic detection device of the plane figure color shading based on the machine vision technology can automatically detect the color shading and classify the color shading. The invention further relates to an automatic detection method of the plane figure color shading.

The invention provides a method for measuring the content of Danshensu in shenshuaining capsules by utilizing an HPLC method, comprising the following steps: 1, weighing shenshuaining capsules into a measuring flask, crushing, adding methanol, performing ultrasound in water bath, placing in the ice-water bath, taking out, adding methanol, centrifuging, and taking the supernate as the test solution of the shenshuaining capsules; 2, weighing Danshensu sodium comparison products, placing in the measuring flask, performing ultrasound in water bath, taking out, placing in the ice-water bath, taking out, adding methanol to shake up for being served as the comparison products solution; 3, leading the chromatographic column to be Inertsil ODS-3 (4.6X 150mm 5mu m), the mobile phase to be methanol-water-glacial acetic acid, the volume ratio to be 19:80:1, the flow velocity to be 1.0ml / min, the detected wavelength to be 281nm, the sensitivity to be 0.01AUFS, the sample size to be 10 mu L, the column temperature to be 40 DEG C, and the theoretic plate number to be no less than 5000 calculated by chromatographic peak of the Danshensu; and 4, injecting Danshensu sodium comparison products solution and shenshuaining capsules test solution into liquid chromatograph, and measuring the chromatographic peak presented by shenshuaining capsules test solution with the same chromatographic retention as the Danshensu sodium comparison products solution. The invention provides a new comparison standard for accurately assessing the quality of shenshuaining capsules, thus strengthening controllability of product quality of shenshuaining capsules and being beneficial for comprehensive monitoring of product quality of shenshuaining capsules.

The invention relates to a full life cycle-based numerical control machine tool sustainability evaluation method. Firstly, life cycle stages of a numerical control machine tool are divided into a design stage, a manufacturing stage, an assembly stage, a transportation stage, a use stage, a recovery stage and a waste treatment stag; then influence factors of environmental, economic and social factors of each life cycle stage are identified; qualitative analysis and quantitative analysis are performed on the factors; a comprehensive evaluation method based on TOPSIS is established; product sustainability evaluation indexes and a quantitative method thereof are provided; a quantitative mathematical model is built; quantitative indexes are quantified in a grade division mode; a numerical control machine tool sustainability index SI of a numerical control machine tool sustainability evaluation process is adopted as a comparison standard of a to-be-evaluated object; a relative comparison result is provided; and values of different dimensions and different time points or time periods are used for performing calculation and comparison.

A method and apparatus to enable a position of an image to be identified and to enable the image to be recognized reliably even when the image is unclean or external disturbance light is irradiates the image. On a assumption that a binarization threshold value is calculated for every block based on the maximum and minimum values of the brightness values in code symbol data, plural adjacent blocks, the threshold values of which are calculated, are grouped to generate groups. The area of each of the groups thus generated is compared with a predetermined area for a comparison standard and if the area of each of the groups thus compared is larger than that, these groups are selected. The position of the selected groups is identified. Brightness value of the code symbol data are binarized using the threshold value for every block in the selected groups.

The invention discloses a data monitoring method, a data monitoring device, electronic equipment and a storage medium, and relates to the technical field of data processing. The method comprises the following steps of for each monitoring entry in all the created monitoring entries, the monitoring entries are sent to the server; acquiring a monitoring object in the monitoring entry as a target monitoring object, acquiring a monitoring algorithm used for the target monitoring object as a target monitoring algorithm, and acquiring a monitoring index for monitoring the target monitoring object asa target monitoring index and a comparison standard under the target monitoring index; obtaining monitoring data, wherein the monitoring data is obtained by calculating the target monitoring index ofthe target monitoring object through the target monitoring algorithm; and when the monitoring data exceeds the preset range interval of the comparison standard, carrying out alarm prompt, thereby carrying out alarm prompt in time when the data is abnormal.

The invention discloses a detection method and a detection device of gene deletion mutation. The method comprises the following steps: sequencing exon libraries of a sample to be detected and a comparison sample to acquire sequencing data of the sample to be detected and the comparison sample; respectively calculating sequencing numbers of the sample to be detected and the comparison sample on all windows in a form of dividing the sequencing data into several windows to acquire first sequencing numbers of the sample to be detected and the comparison sample on all the windows; performing homogenization on the first sequencing numbers of the sample to be detected and the comparison sample on all the windows to acquire second sequencing numbers of the sample to be detected and the comparison sample on all windows; dividing the second sequencing number of the sample to be detected on the windows by a median which is acquired from the second sequencing number of the comparison sample on all the windows to acquire a specific value; performing gene deletion mutation in the windows if the specific value is smaller than a set value. According to the method, the median in the comparison sample is used as a comparison standard, and compared with an average value or a standard difference, false positive can be relatively easily differentiated, and the result is relatively accurate.

The invention discloses a tire pressure monitoring and early warning system based on a wheel pulse number absolute comparison method. The system comprises a wheel rotation pulse number monitoring unit used for generating and receiving rotation pulse number information of each wheel, and a wheel pulse number operation judgment unit used for establishing a wheel standard pulse number according to the obtained pulse number information of each wheel, comparing a corrected actually-measured pulse number of each wheel with a respective standard pulse number with the wheel standard pulse number as a comparison standard, judging whether the tire pressure is abnormal or not and sending judgment result information to a tire pressure information display unit. The system is low in cost, the situation that the tire pressures of two wheels are too low at the same time and the situation that the tire pressures of three wheels are too low at the same time can be judged, and the situation that the four wheels lack air at different degrees can be accurately judged as well; and the vehicle with the same standard tire pressure of the front wheels and the rear wheels and the vehicle with the different standard tire pressures of the front wheels and the rear wheels can be judged.

The embodiment of the invention discloses a heat insulation method of an electric water kettle. The heat insulation method comprises the steps that the current water temperature TC of the interior ofthe electric water kettle is acquired in real time; the upper limit value and the lower limit value of the preset heat insulation point TK are taken as the comparison standards of the current water temperature TC, and a heating signal is controlled in real time according to the comparison results of the current water temperature TC with the upper limit value and the lower limit value. The heat insulation precision is improved through the heat insulation method of the electric water kettle.

A method for controlling outdoor collection process of seismic prospecting includes confirming physical point with qualified construction as standard physical point by making analysis through on-site substation and computer software , using seismic wave parameter obtained from seismic prospecting on purpose layer as comparison standard value, using result of comparing physical point record without on-site substation detection to comparison standard value as evaluation evidence on physical point record without on-site substation then using said standard physical point and value as well as evidence to evaluate construction and record quality of seismic collection.

The invention provides a painting and calligraphy fidelity identification method and device. The method comprises the steps; inputting comparison standards of a creator seal image, a question image and a work image; Obtaining a to-be-identified work image; Obtaining a Hamming distance between the work to be identified and a matching comparison standard by using a hash algorithm; And according to the Hamming distance, obtaining a matching degree between the to-be-identified work and a comparison standard as an identification reference. According to the method, the concept of blocking traditional calligraphy and painting for a long time can be effectively improved, the problems that information of calligraphers and painters and works is scattered and not concentrated, and the calligraphy andpainting works are inaccurately distinguished by human eyes are effectively solved; and compared with an existing precise identification instrument, a special instrument is not needed, the identification period is short, and operation is convenient.

The invention discloses a new bacterial-blight-resisting japonica rice breeding method. The new bacterial-blight-resisting japonica rice breeding method comprises the following steps that 1, a japonica rice variety / strain to be improved and a bacterial-blight-resisting indica type rice source are selected; 2, coarse toxin tolerance concentration authentication is conducted on the selected japonica rice variety / system; 3, crossbreeding is conduced, and a three-way cross F1 hybrid is obtained; 4, row indica type rice culture medium anther culture is conducted on the three-way cross F1 hybrid; 5, the anther cultured seedlings are planted in a field, a plurality of japonica rice anther cultured strains with improved bacterial blight resistance are harvested and obtained from singular plants, the japonica rice anther cultured strains are further planted in a field, a japonica rice variety / strain parent to be improved is used as a comparison standard, and a new japonica rice strain with good agronomic property and improved bacterial blight resistance is obtained through screening. By the adoption of the new bacterial-blight-resisting japonica rice breeding method, the bacterial blight resistance is specifically and effectively introduced into japonica rice, a bacterial-blight-resisting japonica rice variety can be bred within about three years, the period of conventional bacterial-blight-resisting japonica rice breeding is remarkably shortened, and the new bacterial-blight-resisting japonica rice breeding method has high breeding application value.

The invention provides an automatic tilling depth control method and device for an agricultural machine implement. The method includes the following steps: the agricultural machine implement is controlled to perform tilling depth calibration, and a result of the tilling depth calibration is utilized as a comparison standard of tilling depth; according to the comparison standard, a tilling depth range is set; the tilling depth range includes a depth parameter of the tilling depth; according to a value of a sensor on the agricultural machine implement, it is judged whether actual tilling depth collected by the sensor during a current operation exceeds a setting tilling depth range, if yes, a tillage position of the agricultural machine implement is adjusted and the tilling depth calibrationis performed again; and if no, tillage is continued to be performed. The method and the device solves the problems that the control precision of the tilling depth of an existing tractor is not high and a driver needs to invest a lot of energy to observe a tilling depth condition, the farming efficiency is improved, operation of the driver is reduced, and the control precision of the tilling depthis improved.

The invention provides a method for detecting venting safety of a water heater. The method comprises the steps that (A) an air blower is started, and rotation speed values of a motor are detected; (B) a first allowable rotation speed scope is formed according to the detected rotation speed values; (C) when the water heater is started once again, the air blower is started at first, and a rotation speed value of the motor is detected; and (D) whether the detected rotation speed value stays within the first allowable rotation speed scope is determined, wherein gas will be supplied to a combustor for combustion if the rotation speed value stays within the scope. After a water outlet temperature reaches a corresponding constant temperature scope during the combustion, rotation speeds of the motor will be detected, so a second allocable rotation speed scope can be formed; and the rotation speed values of the motor are detected continuously, and the gas supply will be stopped when the detected rotation speed value exceeds the second allowable rotation speed scope. Hence, an actual installation state of a vent pipe could be taken as a comparison standard; and accuracy of detection results can be enhanced.

A method for identifying a renal allograft recipient at risk for chronic allograft damage or interstutial fibrosis and tubular atrophy (IF / TA) by comparing the transcription level of a preselected gene signature set with the transcription level of a comparison standard, and diagnosing the recipient as being at risk for chronic allograft damage if the transcription level of the preselected gene signature set is significantly higher than the transcription level of the comparison standard.

The invention provides a comparison management method for particles attached to a mask plate, which comprises the following steps: setting comparison standards for particles attached to mask plats at different levels according to the levels of the mask plates; delivering the mask plates into a scanning machine for scanning of the particles to obtain scanning results; and selecting the set comparison standards for the particles attached to the mask plates at the corresponding levels according to the levels of the mask plates; comparing the scanning results and the comparison standards, listing the mask plates complying with the standards into an array of mask plates to be distributed, and listing the mask plates non-conforming to the standards into an array of mask plates to be cleaned. By adopting the method, whether the particles on the mask plates at different levels exceeds the standards can be determined accurately, the labor and cost can be greatly saved, the operation can be facilitated, and the working efficiency can be increased.

Embodiments of the invention disclose an SQL injection test coverage rate statistics method and system. The method comprises the steps of obtaining a to-be-tested URL, a to-be-tested request and a to-be-tested parameter; establishing a comparison database according to the to-be-tested URL, the to-be-tested request and the to-be-tested parameter; obtaining a test URL, a test request and a test parameter; comparing the test URL, the test request and the test parameter with the comparison database; marking the same comparison result in the comparison database; and determining a test coverage rateaccording to the number of marked data in the comparison database and the number of total data after the test is completed. According to the statistics method and system, the to-be-tested URL, request and parameter are obtained from a Web application; the comparison database is established to serve as a comparison standard of actual test items; the comparison database is compared with the URL, the request and the parameter used for actual testing in a test tool; the test coverage rate is calculated; and the reliability grade of the current test is determined according to the value of the testcoverage rate, so that the test reliability is improved.

The invention provides a composite material image quality indicator and an industrial CT detection quality judgment method. The composite material image quality indicator is characterized by being composed of a substrate and a series of through holes with different hole diameters and / or a series of air gaps with different widths which are machined in the substrate. According to the composite material image quality indicator and the industrial CT detection quality judgment method, compared with a mode of requiring to manufacture a defect comparison standard sample with the size and shape same as those an object to be detected, manufacturing is simple, the cost is relatively low, and the industrial CT detection cost is greatly reduced.

The invention relates to a method for detecting redried tobacco varietal complexity. According to the technical scheme, the method comprises the following steps of 1, extraction of redried tobacoo DNA; 2, synthesis of primers; 3, a simple repetition inter-sequence polymorphism-polymerization enzyme-linked reaction, wherein the ISSR primer 826 or the ISSR primer 856 is subjected to an ISSR-PCR in redried tobacco to be detected; 4, comparison of a standard diagram, wherein strip comparison is performed on a standard fingerprint chromatogram and an imaging picture obtained after electrophoresis of the redried tobacco ISSR-PCR to be detected is performed, if strips can be matched, the refried tobacco is in one corresponding variety, and if the strips cannot be matched, the refried tobacco is in the mixed variety, and detection is completed. The method has the advantages that the method is provided for authentication and detection of redried tobacco, the primers obtained through screening of the experiment can be directly referred to in the redried tobacco experiment process and subjected to an ISSR-PCR directly at the corresponding annealing temperature, and then the fingerprint spectrum in the corresponding variety is obtained to be used as a follow-up comparison standard spectral band.

The invention discloses a measurement state evaluation method of an electronic voltage transformer, which comprises the steps of acquiring sampling signals of equal time intervals of each section of the voltage signal of a power network by the electronic voltage transformer; according to the sampled signal and the corresponding network voltage mathematical model, the initial phase sequence of eachsegment is calculated. Differential operation is carried out on the initial phase sequence to obtain the differential sequence. The stationarity of the difference series is tested by the stationaritytest method. Based on the results of the stationarity test, the measurement status of the electronic voltage transformer is evaluated. At that same time, the invention also disclose an electronic voltage transformer measure state evaluation system, which comprises a sampling signal acquisition module, an initial phase sequence calculation module, a differential sequence calculation module, a stability determination module and a measurement state evaluation module. The invention has the advantages of high comparison standard accuracy and simple construction method, and provides a low-cost andhigh-precision realization method for evaluating the measurement state of an electronic voltage transformer under the condition of no standard device.

Embodiments of the present invention disclose a method and a system for testing reliability of a mainboard. The method includes: after a mainboard to be tested is powered on, a sample image is outputto a display device connected to the mainboard to be tested for display; the mainboard to be tested controls an image capture device connected with the mainboard to be tested to shoot the sample imagedisplayed by the display device to obtain a test image; the main board to be tested compares and analyzes the test image and the sample image according to a preset comparison standard to generate a test result. The technical solution of the embodiments of the invention can simplify the testing process and reduce the test cost.