98results about How to "Avoid subjective error" patented technology

The invention discloses a full-automatic test system and measurement method for gas permeability of rock and belongs to the test system and method for the gas permeability of the rock. A to-be-tested core is placed in a three-axis core clamping device, confining pressure is loaded in the circumferential direction of the to-be-tested core through a confining pressure loading system, axial load is loaded in the axial direction of the to-be-tested core through the confining pressure loading system, gas seepage pressure is loaded at the left end of the to-be-tested core through a seepage gas boosting system, the right end of the to-be-tested core is communicated with the atmosphere through a high outlet gas flowmeter, a medium outlet gas flowmeter and a low outlet gas flowmeter, and the permeability of the to-be-tested core is obtained through automatic calculation of data acquisition and processing software. The confining pressure, the axial load and the gas seepage pressure of a rock sample can be adjusted independently, and with adoption of the test system, stable values of the gas permeability of rock samples with high permeability, medium permeability and low permeability can be calculated and stored automatically. The full-automatic test system and measurement method for the gas permeability of the rock can precisely and reasonably analyze the law of the influence of the confining pressure, the axial load and the seepage pressure on the rock permeability.

The invention discloses an experimental system for the determination of white rat behavior, which is composed of two parts including a hardware device and a white rat video tracking determination system consisting of system hardware and system software, the hardware device comprises a box body, an animal movement case arranged within the box body, an illumination device arranged on the top of the box body and an outdoor air system connected with the box body; the system hardware comprises a video input unit, an image acquisition card and a computer, wherein, the video input unit is connected with the computer via a video line and is arranged on the top of the box body, the image acquisition card and the system software are installed on the computer, the system software comprises the following modules: image acquisition, trace tracking, background modeling, computation of characteristic data, and formatted display and storage of result. The experimental system implements the acquisition of behavior data of the white rat on conditions of low noise and low illumination, causing no disturbance for normal activity of the white rat and improving accuracy of experimental result; the invention, in combination with the white rat video tracking determination system, performs the determination flexibly and results from diversified test parameters.

The invention relates to an edge feature-based unmanned aerial vehicle image blur judgment method and system. The method includes the following steps of: performing spatial region blur analysis: the edge features of an original image taken by an unmanned aerial vehicle are extracted by using an eight-direction Prewitt algorithm, partitioning processing is performed on the original image, and the number of edges of each block in set four directions is put into statistics, and whether the image is a blurred image is judged according to the number of edge line segments of each block; performing frequency-domain blur analysis: discrete Fourier transformation is performed on the original image, the sharpness index of the power spectrum of the transformed image is analyzed, and whether the image is a blurred image is judged according to the sharpness index; determining whether the image is a clear image or a blurred image; and performing local edge blur analysis: the width of the edges is calculated according to the detected location information of the edge line segments, so that a local blur judgment index can be obtained, and whether the image is a clear image or a blurred image can be determined. The method and system of the invention have the advantages of standardization and standardized image blur detection process, and can improve accuracy and efficiency of detection.

The present invention discloses a transformer substation video image sharpening method in accordance with human eye visual characteristics, and belongs to the field of image communication, video image processing, intelligent power station and the like. According to the invention, the method comprises the steps of 1) acquiring the video image of a transformer substation; 2) based on the partitioning principle, adaptively acquiring an atmospheric brightness value; 3) according to an atmospheric optical imaging model, establishing an image degradation equation and solving out a rough transmittance and other parameters based on the dark primary color priori knowledge; 4) with the gray-level image of an original image as a bootstrap image, guiding a rough atmospheric light curtain in combination with the bilateral filtering means so as to obtain a new atmospheric light curtain, and further reversely deducing a preliminary restored image; 5) in combination with human eye LMS visual characteristics, enhancing the restored image under an LIPC color logarithmic image processing framework so as to obtain a fog-free clear image more consistent with the habits of human eyes. The method is remarkable in defogging effect, clear in details, natural in color, and wide in application prospect. The method effectively solves the video definition problem of transformer substations in the prior art.

The invention discloses a method and a device for monitoring a solid pollution source region as well as data processing equipment. The method for monitoring the solid pollution source region comprises the following steps of: acquiring satellite remote-sensing image data of a target region; calculating a vegetation index by using the satellite remote-sensing image data; comparing the vegetation index with a reference vegetation index so as to determine a region to be detected, wherein the vegetation index comprises the solid pollution source region, a water body region and a building land region; extracting current land information data from the satellite remote-sensing image data; obtaining a land utilization database through the current land information data; and comparing the region to be detected with the land utilization database so as to determine the solid pollution source region. According to the invention, the effect of rapidly and accurately monitoring the solid pollution source region is achieved.

The invention discloses a preoperative brain functional network positioning method based on resting-state functional magnetic resonance. The method comprises the steps of constructing a dissection template by task-state functional magnetic resonance according to a position of a nidus brain zone, performing resting-state functional magnetic resonance scanning, performing resting-state functional magnetic resonance data resolution by an independent component analysis method to extract brain functional networks, performing similarity matching on the brain functional networks by a template matching method to find out the most similar brain functional network and the second similar brain functional network, and performing analysis processing to obtain the optimum brain functional network for preoperative functional positioning. The method solves the three classic problems that the traditional preoperative positioning seed point is difficult to determine, the order number of an independent component analysis model is difficult to determine, and component recognition is great in subjectivity and fallible; and the method allows the preoperative positioning to be objective, accurate, automatic, simple and convenient.

The invention discloses a super-resolution reconstruction quality evaluation method and an apparatus thereof. The method comprises the following steps of acquiring an image to be processed, wherein an image resolution of the image is less than a predetermined resolution threshold; according to a predetermined super-resolution reconstruction rule, carrying out image reconstruction on the image to be processed and acquiring a reconstructed image; and according to the image to be processed and an image frequency of the reconstructed image, acquiring spatial resolutions of the image to be processed and the reconstructed image respectively, and evaluating super-resolution reconstruction quality of the reconstructed image based on the spatial resolutions of the image to be processed and the reconstructed image. Through the method, a subjective error caused by the spatial resolutions which are acquired through a subjective mode of manual interpretation can be avoided so that accuracy of the spatial resolution of the image is increased; and an evaluated method is uniform, an evaluated result does not depend on a user and the evaluated result is objective and accurate.

The invention discloses an automatic gated image intensifier strong light resolution and dynamic range testing system and a testing method. The testing system comprises a light source module, an optical assembly module, an objective lens assembly module, a camera obscura, an eyepiece assembly module, a detection module, an industrial control computer and a power module. The light source module, the optical assembly module, the objective lens assembly module, the camera obscura, the eyepiece assembly module and the detection module are placed on the same fixed optical platform guide rail in sequence and centers of the modules are located on the same optical axis. According to the system and the method, the problem that strong light resolution and a dynamic range of an automatic gated imageintensifier cannot be measured is solved as a breakthrough; the strong light resolution is obtained through automatic identification of the industrial control computer in the testing system, so a subjective error of eye visual testing is effectively avoided, and testing accuracy and testing efficiency are improved; and testing of the strong light resolution and the dynamic range is integrated on the same testing system, so operation is convenient, cost is reduced and reliability is high.

The invention relates to a monomer thermoelectric cell parameter automatic detecting device and a control method thereof, belonging to the technical field of thermoelectric cell automatic detection. The monomer thermoelectric cell parameter automatic detecting device comprises a control system, a weighting system, and an insulation resistance and thickness measuring system, wherein a computer of the control system controls a manipulator via a multifunction board to respectively send monomer thermoelectric cells to the weighting system and the insulation resistance and thickness measuring system to get the weight, the insulation resistance value and the thickness; and the three technical parameters are compared with preset values to respectively send qualified products and unqualified products to a finished product station and a waste product station. The monomer thermoelectric cell parameter automatic detecting device and control method thereof can measure the weight, thickness and insulation resistance of monomer thermoelectric cell quickly and accurately.

The invention discloses a multi-characteristic analysis-based CG animation video detecting method in the technical field of image processing. Characteristic of an animation is extracted on two aspects of static image and dynamic representation aiming at an animation manufacturing mode so that the animation classification does not tend to a static classification mode of the animation any more; multi-dimensional vector-based textural characteristic can judge the type of the animation more accurately on multiple aspects; and the comprehensive analysis of the two characteristics considers the manufacturing mode of the animation in dynamic and static states more comprehensively so as to achieve the accurate classification effect. Whether a CG animation technique, namely a computer graph technique is used in the dynamic image during manufacturing is finally differentiated by extracting kinetic and textural descriptors.

The invention discloses an imaging corneal curvimeter optical system, and aims to accurately measure the curvature radius and the astigmatism of the front surface of a human cornea. The optical system comprises an annular cursor, a primary imaging system, a semi-transparent semi-reflective mirror, a secondary imaging system and a CCD (charge coupled device) receiver. The optical system is characterized in that the annular cursor is imaged by the primary imaging system, reflected by the front surface of the cornea and imaged by the secondary imaging system, and an annular image is finally formed on the CCD receiver. The formed annular image is analyzed by the aid of modern image processing technology, and the curvature radius and the astigmatism of the measured cornea are calculated. The measuring range is 5.5mm-11mm, and measuring precision reaches 0.072D when the curvature radius of the cornea is 7.8mm. Measured corneas with different curvature radiuses are measured in an external focusing measuring mode by a novel imaging corneal curvimeter. In addition, the corneal curvimeter comprises a calibration system to improve precision. The optical system has the advantages of wide measuring range and high measuring precision.

The invention relates to an electric power self-healing test method, device and system, a main station and a tester. The method comprises the following steps: respectively generating a test script anda target switch signal corresponding to each to-be-tested terminal according to a power line topological graph, a target fault terminal and a target fault type; wherein the test script comprises a normal test time sequence, a fault test time sequence and an isolation test time sequence; transmitting the test script to a corresponding tester; wherein the test script is used for indicating the tester to respectively output a normal test time sequence, a fault test time sequence and an isolation test time sequence to the to-be-tested terminal, and acquiring an actual switching signal of the to-be-tested terminal; and receiving the actual switching signals transmitted by each tester, matching the actual switching signals with the target switching signals, and obtaining a self-healing test result according to a matching result. According to the invention, the test scripts and the target switch signals can be automatically generated and issued without manual calculation, and subjective errors are avoided, so that the test efficiency of the self-healing test and the accuracy of the self-healing test result are improved.

The invention relates to the technical field of crop genetic breeding, particularly relates to a rice variety comprehensive excellent index evaluation method. An entropy weight and efficacy combined analysis method is adopted to screen and evaluate the variety excellence, and the problems of subjectivity, one-sidedness and reliability of a rice variety evaluation method are solved, and the difficulties in comprehensively and objectively analyzing and judging the variety as good, good taste and good processing to meet the requirements of yield, quality, stress resistance and other multi-dimensional characters are overcome. The implementation of the scheme mainly comprises the following steps: (1) establishing an evaluation system; (2) acquiring index data; (3) determining index weights; (4)calculating a comprehensive index; and (5) evaluating excellent varieties.

The invention discloses a measuring and reading device for a water and soil erosion survey pin. The measuring and reading device comprises a movable outer barrel and a guide inner barrel arranged inside, which are in sliding connection, wherein a limiting top cap is arranged above the top end of the guide inner barrel; a back cover is arranged at the bottom end of the guide inner barrel; the guide inner barrel and the movable outer barrel are equal in length; scales are formed in the guide inner barrel; the outer diameter of the guide inner barrel is greater than the outer diameter of the survey cap. The invention further discloses a using method for the measuring and reading device for the water and soil erosion survey pin. The measuring and reading device has the characteristics of being operated outdoors, capable of avoiding artificial interferences, accurate in reading, simple in structure, easy to grasp, low in using cost, reliable in performance, and the like. Compared with the conventional survey pin with the scales, the measuring and reading device can be used for overcoming the defects that the scales on the survey pin are easy to peel off, the rust corrosion is polluted, the reading is difficult, the efficiency is low, the requirements for the survey pin processing process are high, the cost is high, and the like.

The invention provides a timing task monitoring method, device and system, an apparatus and a storage medium, wherein the method comprises the steps of obtaining the configuration information of a timing task from a distributed task scheduling system; and triggering the corresponding detection task according to the configuration information of the timing task so as to execute the step of monitoring whether the timing task is triggered on time or not according to the difference between the triggering time of the detection task and the triggering time of a distributed task scheduling system fortriggering the timing task. According to the method, monitoring can be carried out at the source of the timing task triggering, the propagation path of the problem is shortened, the problem positioning speed can be increased, and the problem processing efficiency can be improved. Moreover, by carrying out centralized monitoring on the distributed task scheduling system, each service team does notneed to check the timing tasks to find abnormity, so that the labor cost can be reduced, and the subjective errors caused by the manpower are avoided.

A computer visualized method for measuring the pressure of esophageal varicovein includes such steps as introducing an air bag into esophagus by use of electronic gastroscope, recording the deformations of said air bag by a camera head on the front end of electronic gastroscope, transmitting them to computer for tracking the deformation while synchronously transmitting internal pressure change of air bag to the computer, analyzing the relation between the pressure of air bag and the dynamic image of esophageal varicovein pressure amplitude, and measuring the pressure of air bag, which is just the pressure of esophageal varicovein when the pressure amplitude change of esophageal varicovein is relatively stable. Its system is also disclosed.

The embodiment of the invention provides a deep learning-based pneumoconiosis grading method and device, a medium and equipment, and relates to the technical field of machine learning. The method comprises the steps: carrying out feature extraction on a lung image of a patient, and generating a corresponding first lung feature map, wherein the first lung feature map comprises an ROI; performing mask prediction segmentation on the ROI of the first lung feature map to obtain a second lung feature map; fusing the first lung feature map and the second lung feature map; and determining a pneumoconiosis grade corresponding to the lung image based on a fusion result. According to the technical scheme of the embodiment of the invention, the accuracy of pneumoconiosis grading can be improved, the labor cost is reduced, and subjective errors caused by manual detection are avoided.

The invention relates to a monitoring method for a single-phase intelligent electric energy meter automatic verification production line, and belongs to the technical field of a monitoring method for an automatic verification production line. The monitoring method comprises the steps of quality control testing, uncertainty evaluation and uncertainty evaluation result verification. The monitoring method can realize a monitoring test for the single-phase intelligent electric energy meter automatic verification production line, unmanned management is realized in the test process, and a subjective error is avoided. Test acquisition data in the monitoring method is stored in the form of a database, thereby being convenient for transmission and filing management, and realizing paperless management. Error verification devices in one automatic verification production line are enabled to act as a comparison set for an uncertainty evaluation result, and a device is indicated to certainly have a hardware failure problem after random anomaly is excluded. The monitoring method is scientific in design, convenient to operate, accurate and reliable, the performance of the single-phase intelligent electric energy meter automatic verification production line is ensured to be controllable, and the verification quality of a verified single-phase intelligent electric energy meter is guaranteed.

The invention relates to a live video quality evaluation method and device, computer equipment and a storage medium. The method comprises the following steps: periodically cutting video frames from afirst live video according to a preset time interval; for each intercepted video frame, inputting a brightness component in the video frame into an image quality classification model to obtain a quality category of the video frame output by the image quality classification model, the image quality classification model being obtained by training according to a plurality of training samples, whereineach training sample comprises a brightness component and a quality category label of the sample distorted image, and each quality category label is obtained by performing quality evaluation according to the corresponding sample distorted image and a standard definition image corresponding to the sample distorted image; and reporting the quality category of the first live video to a server according to the quality category of each video frame. By adopting the method, the quality evaluation efficiency and accuracy of the audience terminal live video can be improved.

The invention discloses a pupil distance measurement device which comprises a target object, two needle hole pieces and a driver. The driver drives the needle hole pieces to move in the horizontal direction. The pupil distance measurement device can accurately measure a pupil distance and can remotely control measurement, and the pupil distance can be measured even if an optometrist is not in a site.

The invention relates to the field of artificial intelligence and the field of natural language processing, in particular to a legal case dispute focus obtaining method and device and computer equipment. The method comprises the following steps: obtaining a legal text with a dispute focus, concluding the class of the dispute focus, taking the class as a label, and making a legal case dispute focusdata set; converting a problem of how to obtain a dispute focus into a classification problem, concluding labels of the classes by the last step, taking original declaration contents as input respectively, and training a data set by using a twin BERT model to obtain a model result; and for documents without dispute focuses, obtaining a final dispute focus result through the trained model. The method comprises the steps of collecting and making a legal case dispute focus data set; a twin BERT model is used, so that the input length can be increased, and the limitation that the BERT length is 512 is broken through; and a more accurate classification result is obtained. According to the invention, a legal case dispute focus result with a better effect can be obtained.

The invention relates to a determination method for the dispersity of dust in air of a working field. The determination method comprises the following steps: preparation of a dust suspension solution according to GBZ / T192.3-2007 and ocular lens micrometer calibration; preparation of a dust sample, namely inflating the uniformly-mixed dust suspension solution into a counting tank of a blood counting plate; standing and depositing dust grains at the bottom of the counting tank; dispersity determination, namely taking off an objective lens micrometer and putting the blood counting plate into which the dust sample is dropped on an objective table; finding out the dust grains by using a low-power lens; observing with magnifying power by a calibration ocular lens micrometer; selecting four corners of a large square cell at the center of the counting tank and five middle square cells at the center of the counting tank; sequentially determining the size of each dust grain by using the objective lens micrometer; measuring a long diameter when meeting a long diameter amount and measuring a short diameter when meeting a short diameter amount; and recording by groups and calculating the percentage. According to the determination method, a blood counting plate method is used for determining the dispersity of the dust so as to effectively avoid the error caused by human factors of smearing and measuring links in a previous method, and guarantee the accuracy of a determination result.

The invention discloses a method for efficiently screening high linolenic acid germplasm of brassica napus. The method comprises the following steps of (1) expanding phenotypic variation of linolenicacid by utilizing a plurality of different ecological environments in winter and spring; (2) establishing different screening indexes according to different screening environments and generations; (3)performing comprehensive screening on the linolenic acid yield and the fatty acid composition to quickly obtain the high linolenic acid germplasm; (4) screening agronomic and quality characters whilescreening linolenic acid by utilizing a method of combining selfing and plant selection, so as to improve the comprehensive characters of the high linolenic acid germplasm; and (5) performing geneticstability analysis and quantitative evaluation on the many-year and multi-point results, so as to obtain the genetically stable high linolenic acid germplasm of brassica napus. The method disclosed by the invention has the characteristics of quantifiability and mechanical repeatability, can meet the screening requirements of the high linolenic acid germplasm of brassica napus, and can also enrichand complete the brassica napus breeding method; and meanwhile, beneficial reference can be provided for the development of fatty acid improvement work of other crops.

The invention relates to a PH meter and a calibration method thereof. The PH meter includes a casing, a control circuit, a calibration switch, an indication device, a glass electrode, a reference electrode and a reference solution, wherein at least two liquid tanks are arranged in the casing and filled with buffer solution; liquid outlets are formed at the bottoms of the liquid tanks; air inlets are formed at the tops of the liquid tanks; each liquid outlet is communicated with the glass electrode through a liquid guiding tube; and liquid outlet valves are installed at the liquid outlets or in the liquid guiding pipes; air inlet valves are installed at the air inlets; and the liquid outlet valves and the air inlet valves are electrically connected with the control circuit. The invention has the advantages that the integration degree is high, the operation is convenient, the measuring data is accurate, and the calibration measurement is integrated.

The invention discloses a mutual inductor access-type three-phase intelligent ammeter automatic error detection device monitoring method belonging to an automatic error detection device monitoring method technology field. The monitoring method comprises a quality control test, uncertainty evaluation, and verification of uncertainty evaluation results. By adopting the monitoring method, the monitoring test of the mutual inductor access-type three-phase intelligent ammeter automatic error detection device is realized, and unmanned management of a testing process is realized, and then subjective errors are prevented; data acquired by the test adopting the monitoring method is stored in a database way, and transmission and archiving management are facilitated, and then paperless management is realized; an ammeter position in the automatic error detection device is used as the comparison set of the uncertainty evaluation results, and after random abnormities are eliminated, the hardware fault problem of the ammeter position is determined. The monitoring method is advantageous in that design is scientific, operation is convenient, accurate, and reliable, and the performance of the mutual inductor access-type three-phase intelligent ammeter automatic error detection device is guaranteed, and detection quality of a mutual inductor access-type three-phase intelligent ammeter is guaranteed.

The invention discloses fructus trichosanthis drop pills, a preparation method thereof, and spherical degree and hardness test method of the fructus trichosanthis drop pills. By taking fructus trichosanthis peel and fructus trichosanthis seed extracts obtained by extracting through a 55%-80% of ethanol solution as medicine components and assisting by PEG 4000 and PEG 6000 substrates, drop pills preparation is prepared; in the preparation process of the drop pills, the ratio of the medicines to the substrates, the ratio of substrate components, condensate liquid types and the dropping speed and the dropping distance in dropping of the drop pills are strictly controlled; and the hardness and the spherical degree of the fructus trichosanthis drop pills are measured through a MS-CAD software assisting method. In the production process of the fructus trichosanthis drop pills, tailing and adhesion are avoided, the quality of the produced drop pills is stable and controllable; and MS-CAD software is selected to assist quantitative measurement of the hardness and the spherical degree of the drop pills, by using the test method for comparing the hardness and the spherical degree of the different drop pills, the personal subjective error can be avoided, and the evaluation result is more objective and more reliable and has better statistical significance.

The invention discloses a flaw detector which comprises a controller and a detection probe, wherein the detection probe is electrically connected with the controller through a wire. The controller comprises a power amplifying circuit module, a prefixed amplifying circuit module, an extracting module and a microprocessor, wherein the power amplifying circuit module, the prefixed amplifying circuit module and the extracting module are sequentially electrically connected, and an output end of the extracting module is electrically connected with an input interface of the microprocessor; the detection probe comprises a flexible exciting coil and a flexible array detecting coil, wherein the flexible exciting coil is arranged on one side of the flexible array detecting coil, and the flexible exciting coil and the flexible array detecting coil can generate mutual magnetic field induction; the flexible exciting coil is used for exciting signals and generating an alternating magnetic field; the flexible array detecting coil is used for generating induced voltage signals; the extracting module is used for extracting peak value information of the induced voltage signals; the microprocessor is used for analyzing flaws of an object to be detected and obtaining flaw information of the object to be detected. By means of arranging the detection probe, the detection efficiency is improved.

The invention provides a system and a method for detecting a content of sulfur trioxide in a flue gas, and belongs to the sulfur trioxide detection technology field. By using the method, a time pointwhen a second derivative of an absorbance and a titrating solution volume function is zero is used as a judgment end point. An interference of a complex component in the flue gas on absorbance can beeffectively avoided, and a large deviation caused when a concentration of sulfur trioxide is determined according to a linear relation between the absorbance or conductivity and a characteristic absorption peak of a sulfur trioxide compound due to complex chemical components of the flue gas is avoided.

The invention provides a gray release method and device, equipment and a storage medium, and the method comprises the steps: monitoring whether the running state of a gray version of software is an available state or not; if the running state of the gray level version is an available state, starting a preset gray level rule; and according to the gray scale rule, adopting a gray scale version response for a first user request in the received requests to provide a gray scale service for a client sending the first user request, and adopting a formal version response of software for a second userrequest in the received requests to provide a formal service for a client sending the second user request. According to the method, whether the operation state of the gray version is an available state or not can be automatically monitored, manual checking of the operation state of the gray version is not needed, and the accuracy of a monitoring result can be improved. Besides, when it is monitored that the grayscale version is in the available state, the request is introduced into the grayscale version, and the situation that access is interrupted during operation of the grayscale version canbe avoided.

The invention provides a test method of using a special wall line analyzer, belongs to the field of electronic technology and cable maintenance, and relates to the test method of using the special wall line analyzer. According to the method, testing is performed by using the special wall line analyzer, dual analysis of analog signal analysis and digital signal analysis is performed on the electromagnetic waves externally radiated by the wall line, the line position is visually displayed through the LCD screen, the intensity of the electromagnetic waves is digitally displayed and thus line position detection analysis can be performed on two wall lines of which one "can be completely cut off" and the other "cannot be completely cut off". Testing is performed by using the special wall line analyzer so that the direction and the position of the lines in the wall can be visually and accurately displayed on the screen and the breakpoint of the cable can be measured to a certain extent; the detection result is visual and reliable, high in accuracy, easy to operate and suitable for different measurement environments; and the breakpoint of the electric heating wire of the electric blanket can also be detected, the degree of system integration is high and use and carrying are convenient.