321results about How to "Avoid inaccurate test results" patented technology

The present invention discloses an injection period adaptive strategy-based insulation resistance detection device and a method. The insulation resistance exists between a locomotive chassis and a locomotive power supply system. The detection device comprises a first resistor, a second resistor, a third resistor, a fourth resistor, a sampling resistor, a signal injection circuit, a voltage signal acquisition circuit and a microcontroller. The voltage signal acquisition circuit is used for acquiring the voltage shared by the sampling resistor. The microcontroller is used for calculating the value of the insulation resistance. The detection method is provided for automatically adjusting the insulation resistance of an injection period. For the complex and changeable circuit structure of a high-voltage system, the injection period of a signal is automatically adjusted, so that the influence of the ground capacitance on the detection of the insulation resistance is eliminated. The real-time detection accuracy of the insulation resistance is improved. Meanwhile, the insulation resistance is effectively detected under the condition that the insulation of the positive electrode and the insulation of the negative electrode of the DC system are equivalently decreased.

The embodiment of the invention discloses a ground insulation impedance detection method, a circuit and equipment with the circuit. The circuit consists of a first voltage division circuit and a second voltage division circuit, wherein the first voltage division circuit is connected between a first output terminal and a ground wire; and the second voltage division circuit is connected between a second output terminal and the ground wire. The ground insulation impedance detection method comprises the following steps: enabling the resistance ratio of the first voltage division circuit and the second voltage division circuit to be changed from N to 1/N to N; respectively acquiring voltages at two ends of the first voltage division circuit and the second voltage division circuit under three circuit states; obtaining a first equation, a second equation and a third equation with the detected ground insulation impedance as an independent variable according to a series connection voltage division principle; respectively solving to obtain ground insulation impedance values of the first output terminal and the second output terminal by the simultaneous equations of the first equation, the second equation, and the third equation; and taking a minimum value as the detection result. The equipment with the circuit comprises a junction box and an inverter. According to the ground insulation impedance detection method provided by the invention, the detection accuracy of ground insulation impedance is improved and the problem that the detection result of a traditional detection scheme is inaccurate is solved.

The present invention provides a detection method and apparatus for a re-packaged Android application, and relates to the technical field of Android systems. The method comprises: obtaining an Android application to be detected, decompiled codes of a genuine application, and a picture file and an audio file, which have been actually invoked, in a layout file, to form a precise file feature; determining a static feature of the Android application to be detected and the genuine application; fusing the file feature and the static feature of the Android application to be detected into a fused feature, and fusing the file feature and the static feature of the genuine application into a fused feature; according to the Jaccard similarity algorithm, determining similarity between the fused feature of the Android application to be detected and the fused feature of the genuine application; and when the similarity is greater than or equal to a similarity threshold, and signature information of the Android application to be detected and signature information of the genuine application is different, determining that the Android application to be detected is a re-packaged application of the genuine application. The detection method and apparatus provided by the present invention can solve the problems that current detection on a re-packaged Android application is slow in speed and is inaccurate.

The invention provides a lithium battery unit defect detection method. The main technical scheme is that images of the front side and reverse side of a lithium battery unit are acquired, a Tucker machine supporting method is applied, defected and non-defected lithium battery unit image sets which are preprocessed are trained to obtain weight tensor, core tensor and other parameters, then the unit images to be detected are judged by applying the Tucker machine supporting method according to the parameters obtained through training to complete defect classification, and accordingly detection results are obtained. The lithium battery unit defect detection method utilizes the machine, uses tensor type of weight parameters obtained through Tucker decomposition and can completely retain information and structures of image data, and classification accuracy is improved. The lithium battery unit defect detection method can be widely applied to image based defect detection.

The invention provides a detection method and system for a sensitive video. With the method and system, a problem of inaccuracy of a detection result of a sensitive video can be solved. The detection method comprises: key frames are extracted from a to-be-detected video; frame difference processing is carried out on any two continuous key frames and a human body object region is obtained according to a frame difference result; the human body object region is tracked in multiple continuous key frames and human body object regions of all key frames are determined according to the tracking result; skin color detection is carried out on the human body object regions of all key frames at at least two color spade so as to determine skin color points of all key frames; on the basis of the skin color points of all key frames, skin color point feature information of the to-be-detected video is calculated, wherein the skin color point feature information contains a skin color proportion and a skin color point proportion changing amplitude; and whether the skin color point feature information of the to-be-detected video is larger than a preset feature threshold value; if so, the to-be-detected video is determined to be a sensitive video. With the method and system, precision and accuracy of skin color detection are improved.

The invention provides a preparation method of an organic framework material containing zinc metal. The method comprises steps as follows: porphyrin, (4-carboxyphenyl)benzene, zinc nitrate and N,N-dimethylformamide are mixed under the ultrasonic condition, and a mixed solution is obtained; the mixed solution is subjected to a hydrothermal reaction, and the organic framework material containing zinc metal is obtained. The organic framework material containing zinc metal is prepared from raw materials including porphyrin, (4-carboxyphenyl)benzene and zinc nitrate, the preparation method is simple, few steps are used, fluorescent signals of the organic framework material containing zinc metal can be quenched by parathion-methyl, the fluorescence quenching degree is linearly correlated with logarithms of the content of parathion-methyl, the organic framework material containing zinc metal is used for detecting parathion-methyl, so that parathion-methyl can be rapidly, simply and sensitively detected.

The invention discloses a low-temperature preserved solid culture medium used for a tissue engineering skin model and a preservation method of the low-temperature preserved solid culture medium. The low-temperature preserved solid culture medium is prepared by the following steps: adding a low-temperature protection agent into a common culture medium for epidermis cells to prepare a basic culture solution; and mixing the basic culture solution with agarose gel and condensing to form the solid culture medium suitable for the skin model. The tissue engineering skin model is embedded into the culture medium, is preserved at 4-8 DEG C for 24-72 hours, and then is resuscitated by a common epidermis cell culture solution. The solid culture medium can be used for reducing tissue activity reduction and structure damages of cells and skin tissues, caused by a low-temperature preservation condition, to the greatest extent.

The invention provides a light-emitting diode (LED) traffic light failure monitoring system and an LED traffic light fault monitoring method. The system comprises an alternating current power supply and detection unit, an LED light set current detection module, an alternating current on/off control module and a free-wheeling element, wherein the alternating current power supply and detection unit is arranged in a traffic semaphore; the LED light set current detection module, the alternating current on/off control module and the free-wheeling element are arranged outside the traffic semaphore; the LED light set current detection module detects the working current of an LED signal light; when the working current of the LED signal light is lower than a normal working threshold value, the alternating current on/off control module switches off an alternating current loop; and if the alternating current power supply and detection unit cannot detect alternating current, the failure of the LED signal light is determined. By the LED traffic light failure monitoring system and the LED traffic light failure monitoring method, a reliable failure detection result can be obtained without changing a circuit structure of the traffic semaphore in the prior art.

The embodiment of the invention discloses a method for obtaining ambient light intensity and terminal equipment, relates to the technical field of communications, and is used for solving the problem that a detection result of ambient light in the prior art is inaccurate. The method comprises the following steps: acquiring a first difference, wherein the first difference is an absolute value of a difference between a first ambient light intensity measurement value and a second ambient light intensity measurement value; acquiring a second difference, wherein the second difference is an absolutevalue of a difference between a first gray scale value and a target gray scale value, the first gray scale value is a gray scale value of a first target image, the target gray scale value is the second gray scale value or the gray scale value after target processing of the first gray scale value, and the second gray scale value is a gray scale value of a second target image; and calculating a target ambient light intensity value according to the first ambient light intensity measurement value, the first difference, the second difference, and the first gray scale value. The scheme is specifically applied to a scene for measuring ambient light intensity.

The invention provides a hospital ward environment intelligent monitoring system. The hospital ward environment intelligent monitoring system comprises an operation and maintenance controller, an environment monitoring unit used for monitoring an environmental state in a ward, and a personnel monitoring unit used for detecting a personnel flow condition in the ward. The environment monitoring unit comprises a sensor module, a data acquisition card, an environmental controller, and an environmental control execution module. The output end of the sensor module is connected with the data acquisition card, which is connected with the environmental controller. The environmental controller is connected with a BIM operation and maintenance controller in a communicated manner, and the environmental control execution module is connected with the environmental controller. The personnel monitoring unit comprises an RFID nameplate used for recording personnel identity information and a reader-writer, and the reader-writer is connected with the BIM operation and maintenance controller. By adopting the above mentioned structure, the all-weather monitoring of the hospital ward is realized, accurate monitoring parameters are output, and the environment in the ward is adjusted automatically.

The invention provides a plant growth state identification method based on a plant illumination image. The method comprises the following steps of through extracting the depth information of the collected long-time-period continuous change images of a plant and the illumination information of the plant, combining soil characteristics information, acquiring the plant coordinate of the plant and standardizing the plant coordinate data of the plant, and constructing the conditional random field model based on a plant organ cluster; using a training sample to train and acquiring the identificationmodel of plant organ change state training; and finally, according to the sample characteristic of a target plant to be identified, using the identification model to diagnose and detect a plant growth state change trend. In the invention, the identification degree of the image data and the environmental data of the plant, and environmental parameters of a soil type, a nutrient content and light intensity and chromaticity and the like are increased, and the growth state of each plant organ can be accurately determined.

The invention discloses a video vehicle detection method and a device thereof, and relates to the field of intelligent traffic. The method and the device aim at solving the problem that the video vehicle detection method of the prior art obtains incorrect detection results when the light is weak. The technical proposal of the invention is as follows: a video image is obtained; the video image is subject to vehicle light interfere elimination operation to obtain a video image with the vehicle light interference eliminated; and at least one detection zone preset on the vehicle image with the vehicle light interference eliminated is detected to obtain the video vehicle detection result. The method and the device can be applied to the intelligent traffic system to accurately detect the vehicles under the conditions of weak light such as at night and the like.

The invention relates to a sharpness qualification detection device, in particular to a surgical operating knife blade sharpness qualification detection device, and aims at the technical problem of providing a surgical operating knife blade sharpness qualification detection device which is more accurate in test result and more convenient in record and test process. According to the technical scheme, the surgical operating knife blade sharpness qualification detection device comprises an installation rack, an L-shaped connecting rod, a motor, a first connecting rod, a second connecting rod, a third connecting rod, a fourth connecting rod, an arc-shaped connecting rod, a first pressing rod and the like; and the L-shaped connecting rod is arranged on the upper surface of the left side of theinstallation rack, and the motor is arranged on the right side of the top of the L-shaped connecting rod. According to the surgical operating knife blade sharpness qualification detection device, detection personnel control the motor to rotate to drive an operating knife blade to downwards make a knife mark, and then the sharpness of the operating knife blade can be clearly measured by observing and recording the displacement size of the operating knife blade; and by arranging a pressing wheel, the detection personnel can avoid the phenomenon that due to the fact that too many skin-like materials are discharged in the process of replacing the skin-like materials, a detection result is not precise.

The invention provides a synchronous online symmetric stretching device. The synchronous online symmetric stretching device comprises a symmetric stretching mechanism, a transmission mechanism, a supporting frame and a programmable logic controller, wherein the symmetric stretching mechanism is mounted in the supporting frame, one end of the symmetric stretching mechanism is connected with the transmission mechanism, and the transmission mechanism is connected with the programmable logic controller. The symmetric stretching mechanism comprises two screw-nut pairs, sliders and press plates, the screw-nut pairs are mounted on one side in the supporting frame, each screw-nut pair comprises a screw with two threads opposite in screwing direction and two nuts fittingly in sleeving joint with the two threads, and the ends, on the same side, of the screws pass through the supporting frame to be positioned on the outer side thereof. The synchronous online symmetric stretching device can be disposed in a specific test instrument (such as an x-ray diffractometer and raman spectrometer) and is capable of achieving synchronous online symmetric stretching strictly so as to improve accuracy of detection results.

The present invention discloses a pedestrian detection method and device. The method comprises: performing a monitored video sequence to obtain the foreground picture of the video sequence; obtaining the edge map of a selected area according to the foreground picture; processing the edge points of the edge map to obtain a skeleton map to be detected; and performing pedestrian detection of the skeleton map to be detected according to a pedestrian contour template established in advance. According to the invention, the problem is solved that the method of pedestrian detection does not take an edge map of a target edge into account and results in inaccurate detection results, and the effect of accurate detection results is achieved.

The invention provides an air conditioner filter screen washing judging method. The air conditioner filter screen washing judging method comprises the following steps: detecting dirt blockage of air conditioner filter screens and carrying out preliminary judgment according to detection results; adjusting dirt blockage detection strategies of the air conditioner filter screens when the detection results meet the preliminary judgment conditions and carrying out secondary detection of the dirt blockage of the air conditioner filter screens; carrying out secondary judgment of the dirt blockage conditions of the air conditioner filter screens according to secondary detection results, and judging that the air conditioner filter screens need to be washed when the detection results meet secondaryjudgment conditions; and judging that the air conditioner filter screens do not need to be washed when the detection results cannot meet the secondary judgment conditions. The air conditioner filter screen washing judging method is capable of effectively determining whether the filter screens need to be washed, preventing the filter screens from being washed in advance or behind, improving the detection accuracy and ensuring good operation of the filter screens.

The invention discloses a method and a device for detecting the dehumidification capacity of a dehumidifier. The method comprises the steps of acquiring the moisture content of the inlet air of a dehumidifier, acquiring the moisture content of the outlet air of the dehumidifier, acquiring the outlet air volume of the dehumidifier, and determining the dehumidification capacity according to the moisture content of the inlet air, the moisture content of the outlet air and the outlet air volume. The technical problem in the prior art that dehumidifier dehumidification capacity detection is of low efficiency is solved.

The invention discloses a data exception detection method and device. The data exception detection method comprises the steps: obtaining the historical data for a user, and mining a plurality of userbehavior modes with a preset period as a unit from the historical data according to a preset period; determining a user behavior mode corresponding to the current period according to the detected datain the set time period in the current period, and predicting the to-be-detected data of the current period based on the user behavior mode to obtain predicted data; and according to the prediction data, using a pre-constructed detection model to carry out abnormal detection on the detected data. According to the technical scheme, the data is predicted based on the user behavior mode mined according to the historical data of the user, so that a reasonable predicted value can be obtained; and abnormity judgment is carried out through the detection model, so that the setting process of the judgment threshold value is avoided, and then the problem that the detection result is inaccurate due to inaccurate setting of the judgment threshold value is avoided.

The invention discloses an in-vitro construction method for simulating a blood brain barrier through human brain microangiogenesis. The method comprises the following steps: preparing human brain microvascular endothelial cell suspension and human astrocyte suspension, and preparing fibrinogen mother liquor and thrombin mother liquor; mixing the endothelial cell suspension, the astrocyte suspension, a DMEM (Dulbecco's Modified Eagle Medium) medium, the fibrinogen mother liquor and the thrombin mother liquor, and preparing a mixed cell gel solution; injecting the mixed cell gel solution into amicro-fluidic chip, performing thermostatic incubation to gelation, adding an endothelial growth medium into the micro-fluidic chip, and constructing a 3D cell culture chip; performing continuous culture on the 3D cell culture chip, and enabling the endothelial cells and astrocyte to grow into a brain microvascular network structure, namely correspondingly producing the simulated blood brain barrier. According to the technical scheme provided by the invention, the in-vitro model of the blood brain barrier is successfully constructed, and the characteristics of the blood brain barrier are clearly and accurately reflected.

The invention discloses a stack safety detection method, which is used for solving the problem that the stack safety cannot be accurately detected in the prior art. The method comprises the steps thata target file used for storing compilation information is acquired from a to-be-tested application installation package; obtaining a protection code inserted during compiling from the decompiled target file; judging whether a character matched with a preset first keyword exists in the protection code or not, wherein the preset first keyword represents to start a global compilation protection mode; and determining the security condition of the stack according to a matching result of the protection code and a preset first keyword. The invention also discloses a stack security detection device,a mobile terminal and a computer readable storage medium.

The invention discloses a method for rapid characterization of segregation of bearing steel by using an electronic probe. Test is carried out by an electronic probe analyzer, the types of segregation elements in the steel can be determined by a wavelength dispersive spectrometer point analysis function, the surface of a whole sample can be scanned by a surface scanning function of a wavelength dispersive spectrometer, segregation of the sample is visually characterized by different colors, and therefore, the segregation degree of the steel can be observed clearly. By the method, boundedness that the electronic probe only can be used for micro probe analysis is broken, large-area segregation, particularly characterization of segregation of a casting blank, can be carried out. The method is seldom interfered by human factors, characterization analysis of large-area element segregation degree in the steel can be carried out rapidly, the problem that the electronic probe in the prior art only can be used for segregation of elements by micro probe analysis is solved effectively, and the method has important reference significance on development of steel grades and process improvement.

The invention relates to X-ray nondestructive detection technologies, in particular to a device and a method for automatically detecting defects of cylinder liners by the aid of X-rays. The device and the method have the advantages that the technical problem of inaccurate detection results due to the fact that defects of products cannot be accurately reflected by images acquired when components such as cylinder liners with tubular structures are detected by the aid of rays at present can be solved by the aid of the device and the method; an imaging process is a single-wall imaging process implemented by the aid of linear-array type detectors arranged inside the cylinder liners, images of single walls, which are positioned between ray sources and the detectors and are close to imaging surfaces of the detectors, of the cylinder liners are vertically formed by the aid of image data of the cylinder liners, accordingly, the imaging process is essentially equivalent to a mode in which the cylinder liners are spread to form rectangular panels and then the rectangular panels are scanned by the linear-array type detectors columns by columns to form the images, and the shortcoming of sine effects due to arc lengths can be overcome; the resolution of the images can be obviously improved by the single-wall imaging process as compared with double-layer wall imaging, and irregular cross imaging interference of threads of front and rear walls during double-layer wall imaging can be effectively prevented under the condition that the cylinder liners are provided with external threads.

The invention discloses a simulation test device of transmittance of a battery pack euphotic layer and a test method thereof. Aiming to the defects of the traditional method for testing the transmittance of transparent glass and EVA (Ethylene-vinyl acetate copolymer), the transmittance of the transparent glass and an EVA composite layer of a battery pack can be more truly tested. The simulation test device of the transmittance of the battery pack euphotic layer comprises a white light source, a monochromatic light splitting system, a collimator, a reflector, a sample stage, a wiring column, a micro signal processing system and a terminal information processing system, wherein the monochromatic light splitting system, the collimator, the reflector, the sample stage and the wiring column are all arranged in a dark chamber, the collimator aligns to an exit slit of the monochromatic light splitting system, the reflector is arranged between the collimator and the sample stage, the wiring column is arranged besides the sample stage and is electrically connected with the micro signal processing system, the monochromatic light splitting system is electrically connected with the terminal information processing system, and the micro signal processing system is electrically connected with the terminal information processing system.