97results about How to "Solve detection inaccuracy" patented technology

The invention belongs to the technical field of electrical equipment measuring and testing, and discloses a balancing double-switching circuit used for insulation detection of a direct current power supply system. A resistor with meg-ohm-level big resistance values of the balancing double-switching circuit is used as a frequently-used balancing resistor, and a kilo-ohm resistor with small resistance values is capable of being cut off and is in parallel connection with the frequently-used balancing resistor, and is cut in when high-accuracy detection is needed to reduce the resistance value between a bus and the ground and ensure that the resistance value between the bus and the ground differs little to that of a switching resistor, and therefore the extreme condition that because the voltage sampling end is too small and the like, detection accuracy is affected is avoided. The balancing double-switching circuit is adopted to conduct insulation detection, and therefore on the basis that equipment almost guarantees requirements of insulation against ground, insulation detection accuracy is effectively improved and error alarm is reduced.

The invention provides a travelable area acquisition method, a computer readable storage medium and a terminal device. The method comprises the following steps: collecting point cloud data frame by frame through a millimeter wave radar installed on a vehicle; obtaining CFAR points that are relatively stationary with respect to the ground from the point cloud data according to a traveling speed ofthe vehicle and the Doppler speed of each CFAR point in the point cloud data detected by the millimeter wave radar; obtaining an operation state of the vehicle according to the traveling speed of thevehicle and the heading angle information of the vehicle, and translating a grid probability map; projecting all CFAR points that are relatively stationary with respect to the ground in each frame into the grid probability map, and calculating a probability value of each CFAR point in the grid probability map; and taking the CFAR point with the probability value higher than a first preset value asthe point of an obstacle, and taking other areas other than the point of the obstacle as a travelable area. By processing the point cloud data, the obstacle information that is relatively stationarywith respect to the ground is accurately obtained, and the obstacle is displayed on a display screen to obtain the travelable area.

The invention discloses an inter-frame difference and convolutional neural network fusion-based ship video detection method. The method comprises the four parts of preprocessing a video; obtaining anROI of each frame and extracting low layer features; obtaining high layer features of each frame of image by using a modified VGG16 network; and predicting a ship saliency map of the ROI of each frameand extracting a ship target. A relationship between continuous video frames is fully utilized; the interference of a background is reduced; a moving ship is accurately located; a ship moving regionis obtained; and compared with ship image saliency detection only using the low layer features, the method not only can be directly applied to the ship video detection but also reduces the situation of incomplete ship detection, has higher adaptability to a complex inland river moving ship scene, has higher detection precision, solves the problem of inaccurate inland river ship target saliency detection, and has extremely high practical application values.

The invention discloses an ADC triggering method during direct-current bus current detection through a single resistor. The method comprises the steps of obtaining power module dead-band time, direct-current bus current signal rising stabilization time, ADC sampling maintaining time and minimum pulse width, and calculating minimum nonzero basic vector work time; determining whether nonzero basic vector work time is shorter than the minimum nonzero basic vector work time; correcting the Pulse Width Modulation (PWM) waveform if the basic vector work time is shorter, calculating effective nonzero vector work time according to the nonzero basic vector work time and the dead-band time of the corrected PWM waveform, and performing determination to obtain the ADC triggering moment to trigger ADC. By the aid of the method, the effective nonzero vector work time is determined to obtain the ADC triggering moment to trigger ADC sampling, and accordingly, the ADC sampling accuracy is improved. The invention further discloses an ADC triggering device during direct-current bus current detection through the single resistor.

The invention discloses a method and a system for detecting battery of mobile device in charging. Virtual high voltage of a battery is detected in charging and is updated regularly. The virtual high voltage is subtracted from measured battery voltage to obtain actual battery voltage during calculation of the actual battery voltage. Actual battery capacity is obtained by checking a pre-stored relation table for the battery voltage and battery capacity. The problem that battery detection is inaccurate in charging due to internal battery resistance is solved effectively. The detecting method is simple and is easy to implement. Implementation of the detecting method by software is low in cost.

The invention provides an infusion control system with a physiological information feedback function. The infusion control system comprises an upper computer, a coordinator, a first wireless communication module, a second wireless communication module, an infusion terminal and a heart rate sensor, wherein the upper computer and the first wireless communication module are both connected with the coordinator, the first wireless communication module and the second wireless communication module are communicated through a wireless network, the second wireless communication module is mounted on the infusion terminal, and the heart rate sensor is connected with the infusion terminal. According to the infusion control system with the physiological information feedback function, the function that the dripping speed is automatically adjusted through triggering of feedback heart rate signals, the sensor and a stepping motor, two layers of intervention measures executed by the infusion terminal and the upper computer are set, high flexible adaptability and promptness are achieved, and the working efficiency of medical staff is greatly improved while infusion safety is ensured.

The invention discloses a cleaning robot and an intelligent obstacle avoiding method of the intelligent robot. The method comprises the following steps: transmitting an obstacle detection signal and receiving the obstacle detection signal via an obstacle sensor system; acquiring a signal strength value via a controller, and converting the signal strength value into a relative change rate of the signal strength value; and controlling behaviors of the cleaning robot in accordance with a comparison result between the relative change rate of the signal strength value and a first threshold. According to the technical scheme, the obstacle sensor system and the controller are arranged on the cleaning robot, and in coordination with a cleaning robot main body and a driving system for driving the cleaning robot to move on the ground, the cleaning robot, in obstacle environments of different materials or colors, can be used for effectively detecting a closeness degree between the cleaning robotand the obstacle.

The invention provides a website information detection method and device, electronic equipment and a storage medium, and relates to the technical field of computers. The website information detectionmethod comprises the following steps of utilizing a preset web application testing tool to access a target network address to be detected, wherein a driving engine of the web application testing toolis a preset browser engine; judging whether a first access result returned by a server of a target website corresponding to the target network address is obtained or not; if yes, judging whether preset sensitive information exists in the first access result or not; and if yes, determining that the target website has sensitive information leakage. The website information detection method can comprehensively detect whether sensitive information leakage exists in the website.

The invention belongs to the field of electric quantity detection, and provides a remote controller electric quantity detection method and device. Reference voltage of a remote controller in a standby state and a control signal transmitting state is respectively sampled and a first digital reference voltage value and a second digital reference voltage value are generated. Then a first battery voltage value and a second battery voltage value are acquired according to preset analog-digital sampling resolution, reference voltage, the first digital reference voltage value and the second digital reference voltage value. Finally battery electric quantity information is acquired according to the first battery voltage value and the second battery voltage value and displayed so that the battery electric quantity information is further confirmed by acquiring two different battery voltage values under different working states of the remote controller, and thus accuracy of a battery electric quantity detection result of the remote controller is enhanced.

The invention belongs to the technical field of communications, and provides a method for compensating for ambient light intensity and a mobile terminal. The method comprises the following steps: when a proximity sensor is in a remote state, acquiring N groups of data of the proximity sensor; acquiring first proximity sensor data according to the N groups of data of the proximity sensor; if the first proximity sensor data are greater than a preset standard value of the proximity sensor data, calculating an increase proportion of the proximity sensor data according to the standard value and the first proximity sensor data; acquiring a reduction proportion of ambient light intensity corresponding to the increase proportion of the proximity sensor data according to the increase proportion of the proximity sensor data; acquiring current ambient light intensity of the mobile terminal; and correcting the current ambient light intensity according to the reduction proportion of the ambient light intensity in order to compensate for the current ambient light intensity. Through adoption of the method and the mobile terminal, the ambient light intensity detection accuracy can be increased, and backlight of a mobile terminal screen can be adjusted more accurately.

The invention relates to a method for detecting a breaking strand or wire of a wire rope used for lifting machinery, mine machinery and elevator industry, in particular to a method for detecting a breaking strand or wire of an elevator traction wire rope. The method comprises the following steps: a guiding apparatus is installed in a working path of traction wire ropes, so that there is a fixed gap between adjacent traction wire ropes when the traction wire ropes pass the guiding apparatus; a digital camera is used to take pictures of the traction wire ropes with the fixed gap at fixed times and to save the pictures; the pictures are subjected to gray scale processing to obtain gray scale image matrices; the numbers of pixel grids of the gray scale image matrices of the pictures taken at fixed times are compared with a grid number critical value; and when the numbers of the pixel grids are greater than the grid number critical value for no less than 5000 times, an alarm is given. The invention aims to provide a novel elevator traction wire rope detection method different from conventional electromagnetic detection methods.

The invention is applicable to the field of data processing, and provides a detection method of chalky rice. The method comprises the following steps: pretreating a rice grain sample RGB image, and judging whether rice grains in the rice grain sample RGB image are chalky rice; if yes, judging whether the placement mode of the rice grain sample leads to false detection; and calculating the chalky rice grain rate and chalky degree of the chalky rice according to the preset formula. According to the embodiment of the invention, the rice grain sample RGB image is pretreated so as to judge whether the rice grains in the rice grain sample RGB image are chalky rice, and if the judgment result is yes, then whether the placement mode of the rice grain sample leads to false detection is judged, and the chalky grain rate and the chalky degree are obtained according to the preset formula, so that the detection of the chalky rice is more accurate.

The invention provides a network behavior characteristic clustering analysis-based malicious code detection method, which comprises the following steps: Step 1, mainly performing characteristic analysis on a zombie network and a Trojan network; Step 2, performing network characteristic extraction by use of an MFAM-NB (Magnetic Random Access Memory-Narrow Band) framework; and Step 3, detecting a malicious code by use of an adaptive weight-based k-Means clustering algorithm. The method can solve the problem that a malicious network can easily change package contents and stream characteristics toavoid detection of the malicious code and can solve the problem of dependency of a traditional malicious code detection method on manual characteristic extraction. The adaptive weight-based k-Means malicious code detection algorithm adopted in the method can solve the problem of inaccurate detection of the malicious code due to inappropriate selection of the traditional k-Means algorithm for an initializing center and can solve the problem of long time of the k-Means algorithm for processing a characteristic set with a large data volume.

The invention provides an abnormal data detection method in an Internet of Things environment based on K-media, and relates to the technical field of information security. The method comprises the steps: collecting Internet of Things equipment data, constructing an information matrix and a similar matrix, and carrying out K-media clustering and result evaluation. Specifically, the method comprisesthe steps: constructing an information matrix according to the collected Internet of Things equipment information, calculating and constructing a similar matrix according to the information matrix, carrying out the clustering on the information according to similarity values in the similar matrix to obtain a clustering result, and finally evaluating the clustering result through an evaluation function to obtain an abnormal data detection result. According to the method provided by the invention, the abnormal identification capability in the Internet of Things environment is improved, and theinfluence of diversity and unpredictability of user behavior modes on detection of abnormal data is solved.

The invention discloses a wavelet domain fractal infrared volume cloud detection method fusing edge information, belongs to the field of remote sensing image processing, and solves the problem that the false alarm rate is too high when a target is detected in the prior art. The method comprises the following steps: inputting and preprocessing a to-be-processed cirrus cloud image to obtain a preprocessed image; extracting a SUSAN edge feature map from the preprocessed image by using a minimum kernel value similarity region method; performing wavelet transformation on the preprocessed image to obtain a low-frequency coefficient approximation graph; obtaining a fractal dimension feature map and a multi-scale fractal area feature map of the low-frequency coefficient approximation map by usinga step-by-step triangular prism method and a carpet covering method; and calculating the consistency measure of each pixel point in the SUSAN edge feature map, the fractal dimension feature map and the multi-scale fractal area feature map as a fusion weight, carrying out pixel-level fusion on the three feature maps based on the fusion weight, obtaining a feature fusion map, and then processing thefeature fusion map to obtain a final detection result. The method is used for infrared cirrus cloud detection.

The invention discloses an automatic ticket checking method and an automatic ticket checking apparatus. The automatic ticket checking method comprises the following steps: respectively recording the frequency of a first sensor, a second sensor and a third sensor continuously positioned in a same state, wherein the first sensor, the second sensor and the third sensor are sequentially arranged in a ticket checking channel on the passing direction of passengers; collecting statistics of the recorded frequency of the first sensor, the second sensor and the third sensor continuously positioned in a same state in a preset time period when a passenger reaches the position of the third sensor is detected; and calculating according to the statistical result to obtain the number of passengers needing tickets in the ticket checking period in the preset time period. The method and the apparatus improve the accuracy and the reliability of automatic ticket checking.

The invention discloses a face detection method, device and equipment and a computer readable storage medium, and the method comprises the steps: obtaining a face region of an image through a full convolutional neural network according to the received image; performing selective search on the face region to obtain deep face frame features; carrying out binarization processing on the deep human face frame features, and positioning human face candidate regions of the frame-selected human face contour from all human face regions; obtaining a plurality of face candidate boxes with different sizesthrough a pre-constructed image pyramid model according to the face candidate area; according to the face candidate frame, obtaining the face detection result through the cascade neural network. Missing detection of small faces can be effectively avoided through the method, the position of the face frame is calculated in a layer-by-layer fine mode through the cascade neural network, and the face detection accuracy is improved.

The invention discloses a detection circuit of a video transmission cable and a video output chip. The detection circuit of the video transmission cable comprises a direct current power source, a first switching group, a first resistor, a second resistor, a third resistor, a second switching group and a first comparator. The first switching group comprises a first switch and a second switch. The first end of the first resistor is connected with the direct current power source, and the second end of the first resistor is connected to a detection opening through the first switch. The second switching group comprises a third switch, the first end of the third switch is used for being connected with an application processor of a mobile device, and the second end of the third switch is connected to a first node. The first input end of the first comparator is connected to the first node, and the second input end of the first comparator is connected to a second node. The detection circuit solves the problem that cable type detection is inaccurate for video transmission in the prior art, and the effect of improving the detection precision of the video transmission cable is achieved.

A method for detecting capacitance values of a plurality of capacitive sensing nodes located at intersections of a plurality of drive lines and a sense line on a touch panel is provided. The method includes at least the following steps: obtaining a plurality of touch sense signals corresponding to the sense line during a plurality of time slots, respectively; demodulating the touch sense signals with a first oscillation signal to generate a plurality of first demodulated signals; demodulating the touch sense signals with a second oscillation signal to generate a plurality of second demodulated signals, wherein the second oscillation signal is different from the first oscillation signal; and determining the capacitance values according to at least the first demodulated signals and the second demodulated signals.

The invention belongs to the technical field of filtering state indicators, and discloses a method for monitoring the service life of a filter element of a water purifier. The method specifically comprises the following steps: presetting related water quality parameters; detecting the water quality by using a water quality monitor; monitoring the TDS value change of the water; metering the use time of the filter element by using a timer; monitoring the filtering water quantity of the filter element by using a flow meter; calculating and analyzing a water quality comprehensive score; outputtingthe grade of the water quality and the comprehensive score of the filter element; and displaying the water quality detection value, the TDS value, the filter element service time, the filtering flowinformation, the water quality grade and the filter element score by using display equipment. Multiple data such as the water quality detection value, the TDS value, the filter element service time, filtering flow and the like are integrated, the water purification effect is comprehensively calculated and analyzed, so the technical problem of inaccurate detection caused by a single index in the prior art is solved, effective monitoring of the service life of the filter element can be guaranteed, the measurement result is accurate, comprehensive and effective, and the water use safety is improved.

The present invention discloses a gas sensor, which comprises a housing having an inner cavity, a temperature and humidity detection device, a composite oil-gas separation membrane and a gas-sensitive element, wherein the temperature and humidity detection device, the composite oil-gas separation membrane and the gas-sensitive element are arranged inside the inner cavity, the lower end of the housing is provided for connecting with an oil supply electrical device, the composite oil-gas separation membrane comprises a body membrane and a porous metal sintering sheet arranged on the body membrane, the composite oil-gas separation membrane is arranged inside the inner cavity of the housing through the body membrane lower end toward the housing, the gas-sensitive element is positioned on one side of the porous metal sintering sheet of the composite oil-gas separation membrane, and the temperature and humidity detection device is positioned on one side of the body membrane of the composite oil-gas separation membrane. According to the present invention, the gas sensor has characteristics of small volume, simple installation, low cost and the like; and the trace moisture, the oil temperature and the fault gas content in insulating oil can be concurrently detected, real-time compensation correction can be performed on the detection result according to the insulating oil temperature detected by the temperature and humidity detection device, the problem of inaccurate detection can be solved, and the detection precision of the gas sensor can be increased.

The invention discloses a connection detection circuit, method and electric equipment. The circuit comprises a first detection module, a second detection module, a logic operation module and a judgment module, wherein the input end of the first detection module is connected between a first terminal and a third terminal of electric equipment, and the output end of the first detection module is connected with the logical operation module; the input end of the second detection module is connected between the second terminal and the third terminal of the electric equipment, and the output end of the second detection module is connected with the logical operation module; the logic operation module is used for generating PWM signals according to the signals output by the first detection module and the second detection module; and the judgment module is used for judging whether the connection relationship of the electric equipment is abnormal or not according to the duty ratio of the PWM signal. Through the method and the device, the influence of voltage fluctuation on a judgment result can be avoided, the detection accuracy is improved, meanwhile, whether the connection relationship is abnormal or not can be judged through a single period, and real-time detection is realized.

The invention discloses a voltage zero-crossing detection method and device and a cooking electric appliance. The detection method includes the following steps: obtaining timing duration of a timer, wherein the timing duration of the timer corresponds to the time of a half cycle of alternating voltage; receiving an interrupt signal generated when the alternating voltage zero-crosses, and startingthe timer when the interrupt signal generated when the alternating voltage zero-crosses is received; generating an overflow interrupt signal when the timing of the timer ends; and determining that thealternating voltage is negatively zero-crossed according to the overflow interrupt signal to obtain a negative zero-crossing moment of the alternating voltage. Therefore, the moment when the alternating voltage zero-crossing is interrupted is synchronized with a zero-crossing moment of actual alternating voltage, and the problem of inaccurate voltage zero-crossing detection is effectively solved.

The invention provides a denial-of-service attack detection method. The denial-of-service attack detection method comprises the steps of obtaining an access request; comparing the access features in the access request with a behavior knowledge base to determine whether the access request is an abnormal access or not, the behavior knowledge base being generated according to abnormal access featuresof a plurality of historical abnormal accesses; under the condition that the access request is determined to be abnormal access, determining an access traffic threshold for the access request; and determining that the access request is a denial of service attack under the condition that the access traffic of the access request in a certain time period is greater than the access traffic threshold.The invention further provides a denial-of-service attack detection device, electronic equipment, a readable storage medium and a computer program product.

The invention discloses an underground carbon monoxide detection alarm device which comprises a fixing mechanism, a detection mechanism is arranged under the fixing mechanism, a flow guide mechanism is fixedly installed in the lower surface of the detection mechanism, and an air inlet mechanism is arranged in the outer surface of the flow guide mechanism. According to the underground carbon monoxide detection alarm device, the air inlet mechanism and the flow guide mechanism are arranged to monitor the quantity of solid particles and water vapor on the No.1 filter screen and the dehumidification film in real time; excessive solid particles and water vapor are shaken off in time; solid particles and water vapor are prevented from blocking the air inlet; the problems that much solid particles and water vapor under a mine tend to block the air inlet and further detection is inaccurate are solved; the device has certain creativity and practicability, and can effectively reduce the vibration frequency of the detection mechanism through the cooperative use of the fixing mechanism and the detection mechanism, so as to solve the problems that the vibration is easy to generate during mining, and the service life and the detection precision of the device are influenced by the vibration.

The invention relates to the technical field of office systems, and particularly relates to a convenient office system comprising a personnel access detection module and a master control module. The personnel access detection module comprises a gravity detection component and an infrared detection component. The master control module comprises a controller, a wireless communication unit and an enabling button. The gravity detection component is used for detecting the weight of personnel accessing to the company. The infrared detection component is used for detecting the personnel and the access direction of the personnel. The controller can acquire the data of the gravity detection component when the infrared detection component detects the personnel. The controller can perform statistics of the total weight of all the personnel of the current company according to the data of the infrared detection component and the gravity detection component and can control on and off of the power supply switch according to the total weight of all the personnel of the current company. According to the convenient office system, the problems of waste of energy resources and high office cost caused by the fact that the electricity utilization equipment of the office room is still on after work of the employees can be solved so that the system is more convenient, rapid and efficient in comparison with the present technical scheme.

The invention discloses a frequency signal generating circuit and a liquid level detecting circuit, and the frequency signal generating circuit comprises the following parts of a DC power source VCC,a first switch circuit, a first resistor R1, a second resistor R2 and a second switch circuit that are connected in series, wherein the other end of the second switch is grounded; the first switch circuit and the second switch circuit are respectively connected to a control circuit for controlling the on / off thereof; and a first capacitor C1 connected in parallel with the second resistor R2 and the second switch circuit, wherein a first joint X1 is connected between the first resistor R1 and the second resistor R2. The invention controls the opening and closing cycles of the first switch circuit and the second switch circuit to control the charging and discharging of the first capacitor C1, thereby generating a high-frequency AC signal. High-frequency AC signals can be generated by using only a DC power source, thereby simplifying requirements on the power source.

Embodiments of the invention provide an environment light detection method, device and apparatus and a storage medium. The method comprises the following steps of: S100, obtaining a video flow, comprising a target object, acquired by an image acquisition device of the environment light detection apparatus; S200, outputting a light emitting indication signal, wherein the light emitting indication signal is used for indicating a light emitting device of the environment light detection apparatus to generate a light signal, intensity of which is in an initial intensity range, to serve as current illumination light, and the current illumination light is used for illuminating the target object; S300, selecting at least two video frames which are acquired in the process of generating the currentillumination light by the light emitting device, comprise the target objects and keep still from the video flow; and S400, determining intensity of environment light illuminated on the target object according to the intensity of the current illumination light in the time period of acquiring the at least two video frames and pixel values of areas where the target object is located in the at least two video frames. According to the method, device and apparatus and the storage medium, the intensity of environment light illuminated on objects can be correctly detected.

The embodiment of the invention provides a data detection method and device. The data detection method comprises the following steps of when the data of an appointed file is synchronized, obtaining the parameter information of the synchronized data, wherein the parameter information and the synchronized data are related; determining whether each piece of obtained parameter information corresponding to the appointed file has a vacancy or not; and if each piece of obtained parameter information corresponding to the appointed file has the vacancy, determining that the appointed file is subjected to data loss. By use of the detection method, the detection accuracy of lost data can be improved, a detection process is simple and easy in implementation, and detection efficiency is high.