135results about How to "Judgment results are reliable" patented technology

The invention relates to a face identification based living body detection method and apparatus. The method comprises the steps of: carrying out identity authentication on a to-be-detected user in a to-be-detected crowd through face identification; obtaining a training eye image of the to-be-detected user watching a training sight point, and further extracting training sightline features; obtaining a to-be-detected eye image of the to-be-detected user watching a system random point, and further extracting to-be-detected sightline features; for the to-be-detected user passing the identity authentication, carrying out primary sight point position estimation by adopting an adaptive linear regression algorithm by utilizing a training sight point sequence, the training sightline features and the to-be-detected sightline features; adding the system random point, meeting the predetermined conditions, in the sight point position obtained by primary sight point position estimation into the training sight point sequence to form a new sight point sequence, and carrying out incremental sight point position estimation; and estimating the estimated sight point position according to the incremental sight point position, and carrying out living body judgment by utilizing KL divergence.

The invention discloses an epileptic seizure monitoring method and system based on depth data. The method comprises steps of: acquiring a data source of an epileptic by using a depth sensor; determining whether the epileptic is likely to have as epileptic seizure by analysis of a resultant accelerated speed threshold value of joints; tracking the loci of the joints by using an optical flow method, computing sampling point speed to achieve feature extraction, acquiring a feature capable of describing the drastic vibration of the arms and the legs of the epileptic when the epileptic has an epileptic seizure; identifying whether the current epileptic has an epileptic seizure by using a support vector machine classification method, and if yes, enabling a loudspeaker to give alarm sound, enabling an LED to twinkle, and automatically sending a short message or email via GSM and 4G mobile communication to notify family members. The system comprises a depth data acquisition module, a preanalysis module, an identification module, a data storage module, and an alarm module. The method and the system may accurately and timely monitor the vibration of the arms and the legs of the epileptic having an epileptic seizure, and are insusceptible to environmental changes such as light or the like, fast in detection speed, and good in robustness.

The invention provides a stable, real-time and emergent voltage and power angle control method based on a response message. The method comprises steps as follows: step 1, a power angle quantity and a rotation speed quantity of an electric generator in an electrical power system as well as voltage and current amount of an important load bus of a receiving system are acquired in real time; step 2, power angle stability and voltage stability of the system are monitored in parallel simultaneously, the step 3 is executed when the system loses the power angle stability, the step 4 is executed when the system loses voltage stability, and the step 1 is executed when the system is stable; step 3, a retardation area Sc which should be increased to the system is calculated by utilizing a fit power characteristic curve, a generator-shedding measurement amount is determined, and the step 1 is executed; and step 4, the bus voltage amplitude is used as an evidence for judging the severity of voltage instability, the bus load shedding amount is determined according to the difference of the severity of voltage instability, and the step 1 is executed. The provided real-time and emergency control method adopts a parallel judgment manner, so that a stable, real-time and emergency control scheme of voltage and the power angle of an electrical power system is constructed.

The invention provides a method for detecting steel tube void of concrete filled steel tube (CFST) arch bridge by utilizing a transient impact method; the method provided by the invention is characterized by comprising the following steps: 1, arranging measuring points, axially arranging a plurality of measuring points at the outer wall of a steel tube which is made of a CFST and is to be detected, and placing an acceleration transducer on each measuring point; 2, arranging a vibration excitation point at the outer wall near to the head end or tail end of the steel tube, horizontally knockingthe vibration excitation point by a vibration excitation device, and detecting the acceleration response signals of the measuring points by the acceleration transducer; 3, outputting the response signals of the measuring points by the acceleration transducer, inputting the signals into a data collector by a signal amplifier, obtaining the natural frequency and acceleration power spectral density of each measuring point by the data collector, and storing in a computer. In the invention, the steel tube void of the CFST arch bridge can be located fast and exactly according to the natural frequency and power spectral density of acceleration response and via calculating and comparing the acceleration spectral energy values of the measuring points based on an expression.

A method and a system for evaluating current travel demand and predicting travel demand in the future are provided. The method for evaluating the current travel demand comprises the steps: acquiring corresponding land use data, resident activity characteristic data and wireless communication equipment data in a predetermined time period in a predetermined region; dividing the predetermined region into n sub regions according to a certain rule and obtaining corresponding land use data and wireless communication equipment data in the predetermined region in each sub region by virtue of analysis; carrying out fusion processing on the corresponding land use data and wireless communication equipment data in the predetermined region in each sub region, respectively to obtain first fusion data; and acquiring the current travel demand information of the predetermined region according to the first fusion data and the resident activity characteristic data. By the aid of the method and system provided by the invention, the problems in the prior art that the evaluation result is inaccurate and is not in time and the data are inaccurate as a result of the condition that not all the travelers have equipment capable of generating mobile data are solved.

The invention discloses a method for judging the influence of a social media account, and the method comprises the following steps: 1, selecting a social media account; 2, analyzing the social media account, and obtaining an analysis result through the publication analysis, fans analysis and interaction analysis of the social media account and the comparison with other social media accounts; 3, judging the influence of the social media account according to the analysis result. According to the invention, the method provided by the invention accurately and reasonably judges the influence of the social media account through the multi-dimensional analysis and integrated analysis of the account data, is easy to implement, and facilitates the popularization and application.

The invention discloses a pathological image processing method, system and apparatus, and a storage medium. According to multiple staining slices and type judging algorithm of pathological image to realize automatic judging the type of pathological image, As that technical problem that a large amount of time and energy are required to analyze the pathological image through manual observation, theefficiency is very low and individual discrimination differences exist in the prior art are overcome, the efficiency of processing and judging the pathological image is effectively improved, and the judgement result is stable and reliable; In addition, in order to avoid the influence of image color differences caused by different staining methods, tissue slices at different times, different hospitals or different regions, the pathological images were normalized to ensure the veracity of pathological image type judgement.

The invention discloses an abnormity identification method and a monitoring platform for domestic sewage treatment facility. The method comprises the following steps: S1, acquiring current and outletflow data of a sewage lift pump in a normal working state within a specific time, and current and outlet flow data of the sewage lift pump before a fault occurs and within a specific time, so as to construct an abnormity analysis data set, S2, performing clustering analysis on the abnormity analysis data set through a clustering algorithm to obtain an abnormity data cluster; S3, obtaining a numerical boundary according to the exception type data cluster, and constructing an abnormity identification model; S4, collecting current and outlet flow data of the sewage lift pump, and inputting the current and outlet flow data into the abnormality identification model to perform abnormality judgment, and further performing sequential analysis on the abnormal data cluster to obtain a time boundary,and adding the time boundary into the abnormal recognition model. According to the abnormity identification method, comprehensive judgment is carried out on the data in the time boundary, and early warning can be carried out on initial abnormal operation of the sewage treatment facility.

The embodiments of the present invention provide a relay failure detection method, device and system for a photovoltaic grid-connected inverter. According to the method, a first relay is controlled tobe switched on, and a second relay is controlled to be switched off; the voltage value of a first capacitor during a preset time period is obtained, and a first target value is determined according to the direct current branch value of the voltage value and the alternating current branch value of the voltage value; and when the first target value is smaller than or equal to a preset relay adhesion fault threshold, it is determined that the first relay does not undergo an adhesion fault, and when the first target value is greater than the preset relay adhesion fault threshold, it is determinedthat the first relay undergoes an adhesion fault. According to the technical schemes of the invention, the voltage value of the first capacitor is detected and is compared with the preset threshold,so that whether the relay undergoes a fault can be determined, that is, only one voltage is required to be collected, and therefore, the cost of detection hardware and the resources of a digital processing chip can be saved; since the feature of the preset threshold is obvious, a judgment result is reliable, and therefore, the accuracy of detection can be improved.

The invention provides a testing method for interchanger transmission signal performance and a testing system, and belongs to the technical field of the interchanger test. The testing method comprises the steps: setting test duration, capture package file size, and network card corresponding relationship; configuring the IP address of network card 2 and a camera and a port 2 of the interchanger in the same network segment; configuring an in-direction flow mirror image of an interchanger port 3 to a port 1 connected with the network card 1; starting a timer, sending a command to the network card 1 and the network card 2, performing the continuous capture package by the network card 1 and the network card 2 and storing; and comparing the files one by one captured by the network card 1 and the network card 2 and recording the differences. The invention further provides the testing system for realizing the testing method. The configuration, capture package and comparison of the network cards and the interchanger are automatically completed, a tester only needs to construct the environment according to the network diagram, and open the device to test. The operation is simple, the judgment result is reliable, the test time can be freely set, and the test efficiency is improved.

The invention relates to the technical field of RFID radio frequency, and mainly relates to a label signal decoding method, a label decoding device and a label reader. The label signal decoding methodcomprises a data sampling step, a frame header detection steps and a data decoding step. In the frame head detection step, a matching degree of a frame head template sequence and a label data signalsequence is measured by using related coefficients, and a frame header is accurately found in a waveform comparison mode; in the data decoding step, data sequences within a bit period are extracted according to a sampling multiplier N and a level skip condition of a data part, and the problem of decoding failure caused by frequency offset of a certain degree can be processed; and the computation amount of determining the data bit according to an accumulated value is small, the judgment result is reliable, and certain fault tolerance is available.

The invention discloses a forecasting method and a forecasting system for dust-haze and sand-dust weather. The forecasting method comprises the steps of: forecasting the concentration of particles based on a chemical transmission mode (the main process comprises the steps of: converting a total emission amount in downloaded emission data into a unit emission amount, and carrying out fusion on downloaded meteorological data and ground surface parameters to obtain a meteorological driving field; and solving a meteorological field and particulate matter concentration within first preset time based on the unit emission amount and the meteorological driving field); comparing related data obtained from output meteorological data with a dust-haze and sand-dust forecast table to obtain preliminarydistinguishing of dust-haze and strong sand-dust weather; acquiring a data set composed of 24-hour variable temperature delta T and a coarse and fine particle concentration ratio eta of a to-be-measured place within second preset time when dust-haze and sand-dust weather occurs, taking the data set as training samples and training the data set to obtain a forecasting model, wherein the delta T and eta form the data set; and extracting delta T measurement and eta measurement from meteorological data output in a chemical transmission mode and inputting them into the forecasting model, and finely distinguishing floating dust and dust haze which are difficult to distinguish.

The invention relates to a detection method for fuel oil leakage in an airplane fuel oil link. The method comprises an upstream fuel oil link detection step and a downstream fuel oil link detection step which are executed by a flight managing system or an equivalence calculation system. The upstream fuel oil link detection step comprises the sub-step of predicating an fuel oil amount, and measuring an oil tank fuel oil amount and an upstream threshold value to provide alarming information of an upstream fuel oil link; the downstream fuel oil link detection step comprises the sub-step of forecasting a fuel oil consumption amount and measuring a fuel oil consumption amount in a fuel oil box and a downstream threshold value predicating an fuel oil amount, and measuring an oil tank fuel oil amount and an upstream threshold value to provide alarming information of a downstream fuel oil link; the airplane fuel oil link comprises an upstream fuel oil link and a downstream fuel oil link. The method has the advantages that the fuel oil linkage condition of the whole airplane fuel oil link can be completely detected; the upstream fuel oil link and the downstream fuel oil link have independent alarming capabilities respectively so that the false alarm rate of fuel oil leakage detection is reduced and the judgment result of fuel oil leakage is reliable.

The invention provides a cup body identification method for a food processor. A central processing unit drives a heating circuit to be connected for preheating; then a current detection unit acquires current of the heating circuit and sends a feedback signal to the central processing unit, and the central processing unit judges whether a cup body comprises a heating element or not according to the feedback signal; a function switching unit switches functions according to a command sent by the central processing unit, and corresponding functions are displayed through an operation panel. Whether the heating element exists or not is judged through a current detection module, the corresponding functions are displayed on the operation panel, so that function options on the operation panel are adapted to the cup body, misoperation is effectively prevented, and a product is safer to use.

The invention discloses a method, a device, and a system for testing the accuracy of a synchronous three-phase of a fault indicator of a distribution circuit. During the test, a fault indicator three-phase acquisition unit is mounted on the same phase circuit of the test bench; a test current waveform is inputted on the primary side of the test bench; and then recorded wave data of the fault indicator three-phase acquisition unit is obtained; the purpose of comparing the time delay between the three groups of the recorded wave data is achieved by utilizing the correlation coefficient algorithm; time error of the synchronous three-phase of the fault indicator is calculated, and whether the time error of the synchronous three-phase in the allowable range of precision can be determined. According to the method, the device, and the system for the testing accuracy of the synchronous three-phase of the fault indicator of the distribution circuit, whether the time error of the synchronizationof the three-phase acquisition unit is in the allowable range can be judged without changing the sampling rate of the test bench; the result of judgment is effective and reliable, and the cost of thetest is low.

The invention provides a badminton sideline intelligent judging device and aims to provide accurate and objective judging results on placement of a shuttlecock around a sideline of a badminton court during badminton games and displaying the judging results in real time for a chair umpire to decide. Possible misjudgment and unnecessary controversies caused by artificial naked-eye judgment are avoided. The badminton sideline intelligent judging device comprises a laser transmitter, a laser receiving and information processing unit and a wireless receiving and displaying unit, the laser receiving and information processing unit is composed of a laser receiver, an operation controller A, a system power source A and a wireless transmitting module, the wireless receiving and displaying unit is composed of an operation controller B, a system power source B, a wireless receiving module, a setting keyboard and a displaying module, and each side line corresponds to one laser transmitter 1 and one laser receiving and information processing unit.

The invention provides an information processing method for judging the identification card using condition and network equipment. The method comprises the steps that if it is detected that a terminalusing a first identification card and a terminal using a second identification card are powered on in a same preset time period and reside at a same base station cell or two adjacent base station cells during power on, the matching number of the first identification card and the second identification card is accumulated once; and according to the accumulated matching number in the preset time, whether or not the terminal using the first identification card and the terminal using the second identification card are the same terminal is determined. Accordingly, whether or not the first identification card and the second identification card are used in the same terminal is judged.

The invention relates to a power distribution network single-phase earth fault development trend discrimination method based on zero-sequence volt-ampere curve area, and belongs to the technical fieldof power system relay protection. According to the invention, a single-phase earth fault is set along a feeder line of a power distribution network through electromagnetic transient simulation to take the feeder line as a fault feeder line, a zero-sequence voltage and a zero-sequence current of the fault feeder line are extracted to form a zero-sequence volt-ampere curve, the change of fault transition resistance is speculated according to the slope of a straight line obtained by fitting on the curve area, and then, the development trend of the single-phase earth fault is deduced. It can be seen from simulation verification and actual measurement data that the method is correct and effective.

The invention discloses a method and a system for monitoring and detecting a target based on a fuzzy algorithm. The method comprises the following steps of: acquiring a target image and a background image; extracting differential characteristic parameters between the target image and the background image; dividing the current picture into a plurality of small regions of interest (ROI), and calculating image gray difference between a background and a plastic target as well as between the background and a die cavity target in the small ROI by using a difference algorithm; detecting target similarity; counting target occurrence parameter values in each small ROI according to the extracted differential characteristic parameters, and respectively accumulating target and non-target characteristic parameters in respective small ROI during counting; judging the target; and performing decision possibility judgment of target non-occurrence and target occurrence according to the counted parameter values of the target. By the method and the system, the calculation amount is reduced, the calculation speed is high, and the requirement for real-time detection is ensured; and the counted parameters are judged by adopting fuzzy mathematics, so that the reliability of target identification and detection is improved, and the contradiction between the speed and the effectiveness is effectively solved.

The invention discloses an early warning system and a judging method for the thermal recession phenomenon of a vehicle, which mainly adopts the combined judgment of braking force + braking time + fixed value + instant temperature + historical average temperature to carry out early warning judgment on the thermal recession phenomenon of the vehicle, After comprehensive consideration and combination, as long as one or several of them are close, it can be determined that thermal recession may be about to occur, and the operation time is reserved for further operations of the driver, and due to different vehicles, different drivers, different road conditions, and different loads , Different wear conditions and different brake materials will more or less affect the change of the thermal attenuation critical value. The early warning value can be dynamically modified to realize the early warning and judgment of the thermal fading phenomenon under different driving conditions. Modify the early warning conditions to make the judgment result more sensitive and reliable.

Provided is a boiler furnace situation perception method based on multi-feature fusion clustering, which belongs to the boiler furnace situation perception method. An image flame detecting probe is adopted to collect hearth image information. The image on one hand conducts conventional flame detection and temperature detection processing on an on-site control cabinet, and on the other hand is directly transmitted to a FSSS monitoring center and a computer control center. In the computer control center, characteristic learning, mode database construction and updating, and hearth situation perception can be completed. The invention is advantageous in that a situation-based perception and analysis software can be deployed at a cloud service center or a server based on the present image flamedetection system, and no modification or additional external devices is required, and thereby the deploying is easy, and self-learning and self-updating capability is provided; The invention is advantageous in that a situation-based perception and analysis software can be deployed at a cloud service center or a server based on the present image flame detection system, and no modification or additional external devices is required, and thereby the deploying is easy, and self-learning and self-updating capability is provided.