49results about How to "Solve the problem of misjudgment" patented technology

The invention discloses a mobile robot path planning method in an unknown dynamic environment. The method enables each position to be converted into a nerve cell, employs the activity values of nerve cells to represent environment changes, and ingeniously employs a biological motivation nerve network model to simulate a dynamic environment. The biological motivation nerve network model guarantees that the activity values of positive nerve cells can be transmitted outside to affect the whole state space, and the activity values of negative nerve cells just act on a local part. A decision at the next position point comprises a maximum nerve cell activity value and minimum robot corner factor, and an obtained path is the shortest one or about the shortest one. Moreover, the path is smooth, and the number of corners is smaller. The method does not have a problem of local minimum points, is small in calculation amount, is simple in implementation, and is good in adaptability in the unknown dynamic environment.

The invention provides a method and a system for detecting person trapping in an elevator. According to the logic combination between multiple outputted detection signals of the elevator from an elevator controller, the person trapping state of the elevator is detected. The detection signals comprise a person carrying signal, a door lock signal, a fault signal and an overhauling signal; when the person trapping state is determined, a corresponding alarming signal can be sent out. The method and the system have the advantage that the problem of false judging on person trapping in the elevator can be effectively solved.

The invention provides a method and a device for receiving a preamble, which can be applied to when a transmitting end meets a preset transmitting rule. The method is characterized by comprising steps: whether a preamble exists in a baseband signal is judged; the position of the preamble in a physical frame is determined and carried signaling information is analyzed, wherein the step of determination and analysis comprises a substep in which a time domain main body signal for each time domain symbol is subjected to Fourier transform and effective sub carriers are then extracted; each effective sub carrier, a known sub carrier corresponding to each frequency domain known sequence in a known frequency domain signaling set for the time domain symbol and a channel estimation value are subjected to predetermined mathematical operation and then inverse Fourier transform is carried out, and an inverse Fourier result is obtained corresponding to each frequency domain known sequence; and based on an inverse Fourier selection result selected from inverse Fourier results in a first predetermined selection rule for each time domain symbol, the signaling information is analyzed directly and/or by using predetermined processing operation between multiple time domain symbols, the signaling information is analyzed based on the obtained inter-symbol processing result.

The invention discloses a method for diagnosing failures of an analog circuit based on heterogeneous information fusion. The method comprises the following steps: measuring a temperature variation value of a circuit element to be diagnosed; calculating an optimum gate valve value of the variation value of working temperature of each element; integrating the temperature variation value of an element more than the optimum gate valve value into a failure domain phi, and calculating by a temperature membership grade model to acquire a temperature evidence value of each element; applying an actuating signal to a circuit to be diagnosed to measure voltage of a measurable point; inputting information of the voltage of the measurable point into a BP neural network to carry out primary diagnosis so as to acquire an evidence value of voltage of the measurable point; and fusing the evidence value of temperature and the evidence value of voltage by a heterogeneous information fusion system, acquiring an associated weight coefficient, identifying the weight coefficient and unifying the weight coefficient, and regulating and carrying out D-S fusion on the two types of the evidence values to determine a failure element. The method solves the problem of inaccurate judgment caused by deficiency of feature information and incompatible heterogeneous information in failure diagnosis of the analog circuit, and improves the accuracy of the failure diagnosis.

The invention relates to detection equipment, a detection method and device and a storage medium. The detection equipment comprises a radar module used for emitting radar waves, receiving echoes returned based on the radar waves, and determining motion parameters of a detection object in a radar wave action range according to emission parameters of the radar waves and receiving parameters of the echoes; an infrared detection module used for detecting infrared change parameters in the detection space; and a processing module connected with the radar module and the infrared detection module andused for determining whether a target object exists in the detection space or not according to the motion parameters and the infrared change parameters and determining the state of the target object when the target object exists so as to obtain a determination result. Thus, by integrating the radar module and the infrared detection module in the same equipment and combining the functional advantages of the radar module and the infrared detection module, whether a human body exists or not can be accurately judged, the state of the human body can be determined, and better detection service is provided.

The invention relates to the computer and communication technical field, in particular to a decision method and a decision system for electronic equipment service condition. Whether facial features of a human face are contained in an acquired input image is detected, and whether the acquired input image is moved is detected, and the service condition of electronic equipment is judged. The decision method and the decision system solve the error decision problem of the service condition of the electronic equipment.

The embodiments of the present invention disclose an anti-fraud identification method, an anti-fraud identification device, a server and a storage medium. The method includes the following steps that:when a voice collection instruction sent by a user to be identified is received, current voice signals which are inputted by the user to be identified according to a preset input mode are collected;current voiceprint feature parameters in the current voice signals are extracted, wherein the current voiceprint feature parameters include an oral feature parameter, a nasal feature parameter, blade-alveolar and retroflex feature parameters or vocal cord feature parameters; when the current voiceprint feature parameters are matched with pre-stored fraud voiceprint feature parameters, current frequency values corresponding to the current voiceprint feature parameters are obtained from a database; and when the current frequency values are greater than preset frequency threshold values, the userto be identified is identified as a fraudulent user. With the anti-fraud identification method, anti-fraud identification device, server, and storage medium provided by the embodiments of the presentinvention adopted, the accuracy of the identification of fraudulent behaviors can be improved.

The embodiment of the invention discloses a generated color difference detection model and a ceramic tile color separation method and device. The ceramic tile color separation method comprises the steps: after a ceramic tile flows into a conveying mechanism, acquiring a current image collected by a camera, and capturing a current ceramic tile picture containing the current ceramic tile from the current image; calling a color difference detection model, and calculating a color difference value between the current ceramic tile picture and the standard plate ceramic tile picture of each color number through the color difference detection model, wherein the standard plate ceramic tile picture is a reference picture of each color number; and determining the color number of the current ceramic tile according to a preset color difference threshold value and the color difference value between the current ceramic tile picture and the standard board ceramic tile picture of each color number. According to the invention, manual classification is replaced by programmed ceramic tile color separation, the problems of misjudgment, misjudgment and inaccurate color separation due to the fact that manual ceramic tile detection according to the color difference degree is prone to being interfered by various unstable factors are solved, and the ceramic tile color separation accuracy is improved.

The invention discloses a primer for amplifying marten species cytochrome b gene and a method for identifying sable and pine marten, and relates to a primer and a species identifying method. The method solves the problem that the conventional morphologic identification method for the sable and the pine marten easily causes error judgment. The primer consists of an upstream primer and a downstream primer. The method comprises the following steps: 1, extracting DNA, and then performing PCR amplification; 2, performing enzyme digestion; and 3, performing electrophoresis detection. The skin, skeleton, muscle and claw of an animal are used as biological detection materials and then detected by using the identifying method of the invention, and the detection result is completely accurate. The method of the invention not only can be used for wild animal law enforcement, but also can be applied in commercial inspection.

The embodiment of the invention discloses a method and a device for automatic supervision and relates to the technical field of electronic information. According to the method and the device, the accuracy and the reliability of supervision can be improved. The method comprises the following steps of identifying one supervised object from objects in a supervision range, and acquiring behavior data of the supervised object during a first time slot; acquiring a standard behavior model of the supervised object by utilizing the behavior data of the supervised object during the first time slot; judging whether behavior data of the supervised object during a second time slot are normal or not according to the standard behavior model of the supervised object, and if the behavior data are abnormal, sending an alarm notification. The method and the device disclosed by the invention are suitable for use in scenes where a supervised object is automatically supervised.

The invention relates to the technical field of artificial intelligence, and provides an AI-based traffic violation certificate generation method and device, a terminal and a storage medium, and the method comprises the steps of analyzing traffic violation information from traffic violation data, and the traffic violation information comprises a violation video, a violation position and violationtime; calling a traffic violation type identification model to identify the traffic violation type of the violation video, and determining a violation code number corresponding to the traffic violation type; intercepting a plurality of standard traffic violation pictures from the violation video when judging that the violation position and the violation time are valid; and superposing the trafficviolation information and the violation code numbers in a plurality of standard traffic violation pictures by adopting a character superposer to obtain a plurality of traffic violation certificate pictures. According to the invention, an accurate and complete traffic violation evidence chain can be generated through an AI technology, and an auditing basis is provided for traffic violation. In addition, the invention also relates to the technical field of the block chain, and the plurality of traffic violation certificate pictures are stored in the block chain.

The invention provides a windlass steel cable detection device. The windlass steel cable detection device comprises an image collection unit which is installed on the front surface of a windlass steel cable, wherein the image collection unit comprises an imaging instrument, an upper laser and a lower laser, the imaging instrument is arranged between the upper laser and the lower laser and a distance is kept between the imaging instrument and the steel cable, the imaging instrument is provided with a lens and adopts the steel cable as a collection target, the upper laser and the lower laser are identical components and arranged in front of and behind the lens, the upper laser and the lower laser are respectively provided with a luminescent hole, each luminescent hole faces the imaging instrument collection target by forming an angle with the target, a light curtain projected by each luminescent hole is overlapped with an imaging instrument collection target area to form an overlapped area, and the overlapped area is a spot area. By adopting the structure, the technical problems of error in judgment and judgment by mistake caused by collecting abnormal light spots can be solved, so that a good effect for improving the accuracy in detection can be realized.

The invention discloses a traffic data processing method and device. The method comprises the steps that when it is detected that the traffic of a target object is abnormal based on a period baseline,and the traffic of the target object is detected again through an extended period baseline to obtain re-detection result, wherein the traffic period corresponding to the extended period baseline is greater than one period; whether the re-detection result is abnormal or not is judged; if the re-detection result is abnormal, a first message is output, wherein the first message is used for promptingthat the flow of the target object is abnormal, and if any extended period baseline is successfully matched with the traffic of the target object, the re-detection result is not abnormal. According to the invention, the effect of improving the accuracy of abnormal traffic judgment is achieved.

The invention relates to a wheelchair control technology, in particular to a multifunctional intelligent wheelchair control system and control method. The control system comprises a controller, a safety decision module, a direction control module, an alarm module and a power module; the controller comprises a main controller and an auxiliary controller; the safety decision module comprises an obstacle avoidance recognition device and a wheelchair state recognition device; the direction control module comprises a rocker and a voice recognition device; the main controller is connected with the safety decision module and the direction control module; the auxiliary controller is connected with the main controller and the voice recognition device. The safety decision module adopts ultrasonic wave and infrared combined decision making, when an obstacle is recognized, the wheelchair can avoid the obstacle emergently, the state recognition module can recognize whether the wheelchair rolls over or topples over in the advancing process, and the positioning infomration is sent to an emergency contact person through 5G positioning information in danger. The system can realize the functions of automatic obstacle avoidance, danger alarm, voice control and the like of the wheelchair, and has the advantages of high performance, simplicity in operation, high safety and the like.

The invention relates to an intelligent detection system and method for the micro-pore shape of a fuel injection nozzle based on machine vision. The system comprises an electron microscope, an image processing system, a master control system and a rotating stage, wherein the electron microscope, the image processing system and the rotating stage are connected with the master control system separately, the electron microscope is further connected with the image processing system and used for obtaining a primary observation image and secondary observation image of a micro-pore of the fuel injection nozzle, the image processing system is used for processing the primary observation image and the secondary observation image and judging whether or not the micro-pore is qualified and a deformed region of the micro-pore, a result image is displayed in real time, and the master control system is used for controlling the movement of the electron microscope and the rotation of the rotating stage.The intelligent detection system and method for the micro-pore shape of the fuel injection nozzle based on the machine vision have the advantages that the full automation and intellectualization of the micro-pore of the fuel injection nozzle are achieved, and the problems in the prior art that the manual detection efficiency is low, the labor intensity is large, the quality of classification is uneven, and the misjudgment rate is high are solved.

The invention discloses an obstacle avoidance detecting device of an intelligent assembling robot, and the obstacle avoidance detecting device comprises two identical color sensors, the two identical color sensors are fixed inside a T-shaped bushing, an initial red-green-blue (RGB) measurement value of each color sensor is identical, and the T-shaped bushing is fixed on the intelligent assembling robot; and the obstacle avoidance detecting device also comprises a signal isolator and a controller; the controller adopts a parallel double-measurement method to judge whether the intelligent assembling robot stays on a critical position, when the intelligent assembling robot stays on the critical position, a delay detection method is adopted to enable the intelligent assembling robot to rapidly across the critical position, so that the mis-judgment problem caused by the influence of the critical position can be solved; and through the structure that the T-shaped bushing is fixedly connected with two sensors and the mean filter treatment, the measurement error caused by the vibration of the intelligent assembling robot in the movement process can be reduced. Due to the adoption of the obstacle avoidance detecting device of the intelligent assembling robot, the obstacle recognition and detection accuracy of the intelligent assembling robot can be improved.

The invention discloses a fire detection method and a fire detection device. The laser output signal is compared with the flame appearance signal Q, and whether the equipment is in an abnormal state of fire and combustion or not is judged according to the duration of a single laser output signal and the accumulated number of the flame appearance signal Q in the duration of the single laser outputsignal when the laser output signal outputs laser; and when the laser output signal does not output the laser, whether the equipment is in an abnormal state of fire and combustion or not is judged according to the accumulated number of the flame occurrence signals Q in the accumulated detection period. The method comprises the following steps: a flame occurrence signal Q in a period when a laser output signal does not output laser and under the condition of single laser signal processing is acquired; the two characteristics are accumulated as an important basis and used as a final judgment basis for ignition combustion, ignition of the processed material W can be detected as soon as possible during laser processing of the laser processing machine, so that fire disasters are inhibited, andthe method has good universal applicability.

The invention discloses a method for accurately preparing an acetic acid standard curve solution and detecting protected amino acid acetic acid, and the method comprises the following steps: S1, preparing an acetic acid stock solution, precisely weighing a designed amount of anhydrous potassium acetate, and adding ultrapure water to a constant volume according to a detection concentration demand to obtain the acetic acid stock solution with a designed concentration; S2, preparing an acetic acid standard curve solution, adding ultrapure water to dilute the stock solution to obtain an acetic acid standard curve solution with a designed concentration, and adding trifluoroethanol or methanol with a designed amount during preparation. By improving the formula of the standard curve, the preparation process of the standard curve is simpler, more convenient and more accurate, the use of an organic solvent is avoided, the volatilization of the solvent is reduced, and the detection cost is reduced; meanwhile, the interference peak and the target peak are effectively separated by adopting ion chromatography for detection and designing reasonable gradient conditions, and finally, the target peak is obvious in performance and easy to judge and calculate, so the problems of misjudgment and misjudgment in the prior art are solved.

A power distribution network multivariable characteristic parameter dynamic correlation fault judgment method comprises the steps that the displacement voltage of a neutral point of a power distribution network, three-phase voltages ua, ub and uc and zero-sequence currents ij of all feeder lines are detected in real time, if the neutral point of the power distribution network has a grounding resistor, the current ib of a resistor branch is detected, and in a time period deltaT1, whether a single-phase earth fault occurs in the power distribution network or not is judged according to the correlation change of each variable. After an earth fault processing device is started, different methods are adopted to judge the fault property and whether the fault is successfully processed or not according to different variable relationships.