117results about How to "Avoid the impact of detection accuracy" patented technology

The invention discloses a laser scanning imaging nondestructive inspection method for hot continuous casting blank surface defects, comprising the following steps: 1) transversely irradiating a casting blank by a laser emitter to obtain a laser line; 2) scanning the laser line by utilizing an area array CCD image sensor; 3) extracting information representing the defect depths from the laser line so as to obtain a one-dimensional distance dot matrix formed by assembling the defect depths of the casting blank at the transverse position; and 4) mapping the one-dimensional distance dot matrix into gray level images with different gray levels; 5) splicing the gray level images at different transverse positions of a hot blank so as to obtain a whole gray level image; and 6) identifying the defects on the surface of the casting blank and reconstructing a casting blank surface tri-dimensional topographic image. The intention can effectively inhibit interference from a flaky scale on the high temperature casting blank surface which is not a defect but presents a defect state and water films so as to avoid the pseudo-defects from influencing detection precision, accurately identify defect target images and realize quantized detection of the defect depths, thereby realizing online detection of the defect states and depths of the surface of the casting blank under a high temperature state.

The invention relates to a high-speed electromagnetic valve driver circuit. An input signal buffer unit mainly performs buffering shaping on an input signal from an external central control unit and improves the antijamming capacity thereof; a high side current detection unit realizes current detection by detecting differential voltage of one resistor in a load branch circuit; a PWM signal generator mainly generates a PWM wave with fixed frequency, the current is controlled and kept by regulating the duty cycle of the waveform; a power drive unit mainly supplies enough power drive for a power NMOS tube so that the power NMOS tube can fully operate in a switch state and reduce switch loss and heating; a signal time delay unit outputs a time delay for a current detection signal; in the delay time, the power NMOS tube is cut off, so that a coil can have afterflow; a logical gate circuit unit is a coincidence gate and generates a synchronizing signal required by the PWM signal generator after performing phasing on the current detection signal and a time delay signal thereof.

The invention discloses a grid-connected control method and system based on a virtual synchronous generator. The method comprises the steps as follows: simulating synchronous impedance with a synchronous impedance method based on cascade connection of an order-reduced resonator and a three-order generalized integrator to improve stability of the system, inhibit current deviation formed by load disturbance and realize power equalization, and inhibiting imbalance of output voltage and harmonic component by using quasi-proportional resonance controller. An order-reduced resonator phase-locked loop is combined with a quasi-synchronous parallel algorithm, asymmetry of grid voltage and output voltage of an inverter as well as the effect of harmonic waves on detection accuracy is avoided, the frequency, amplitude and phase of the output voltage of the virtual synchronous inverter track grid voltage quickly without static errors by the aid of the quasi-synchronous parallel algorithm, so that flexible off-grid/grid-connected switching is realized, the power supply reliability of the system is improved, and the electric energy quality is improved.

The invention discloses a fatigue state detecting method for eliminating driver individual difference by utilizing online learning and through eye motion characteristics. The method comprises the following steps of obtaining a video image of a driver through a camera, detecting the face of the driver according to the video image and processing the video image to obtain driver eye motion characteristics; and comparing the driver eye motion characteristics and data under the condition that the driver is sober, wherein a result exceeds a threshold value shows that the driver is in a fatigue driving state, and if the result does not exceed the threshold value, the driver eye motion characteristics are learned on line in the meanwhile, and information obtained through online learning are continuously compared till a vehicle stops. By means of the fatigue state detecting method, the driver eye position characteristics are detected, and driver characteristics are learned to distinguish whether the driver is in the fatigue driving state or not, so that accidental risk is prevented in advance, and accordingly driving safety of the driver is improved.

The invention relates to an online detection and control method of the periphery of a filtering rod and a device. The device is characterized by mainly comprising a parallel light source (1), a linear array CCD (Charge Coupled Device) detector (2), a scanning motor (3), a signal processing module (4) and an executing mechanism (6), wherein the parallel light source (1) and the linear array CCD detector (2) are respectively positioned at the two opposite sides of the filtering rod; the scanning motor (3) drives the parallel light sources (1) and the linear array CCD detector (2) to rotate around the filtering rod; the signal input end of the signal processing module (4) is connected with the signal output end of the linear array CCD detector (2); and the signal output end of the signal processing module (4) is connected with the control end of the parallel light source (1), the control signal input end of a motor driver of the scanning motor and the signal input end of the executing mechanism (6) simultaneously. The invention has the advantages that the accuracy is high (the size of the received image element is 10mum), no influence is caused by various interference factors such asvibration, noise, temperature, dust and barometric fluctuation and the like on a site, and the detection result is accurate, stable and reliable.

The invention relates to a device capable of achieving multidirectional detection. The device comprises a horizontal installation platform and a circular guide rail arranged on the installation platform. The circular guide rail is provided with a sliding table capable of moving along the guide rail, the sliding table is vertically provided with a Z-axis support capable of rotating horizontally, and the Z-axis support is provided with a detection platform capable of being moved up and down and adjusted. The measuring platform can be driven to rotate by 360 degrees by the circular guide rail, and a measuring device on the detection platform can carry out multidirectional detection on an object to be detected and arranged in the guide rail.

The invention discloses a radio-frequency power detection circuit. According to the invention, a radio-frequency input signal is connected to a matching load and processed via a peak detection circuit based on a wave detecting diode; the output of the peak detection circuit is connected to a peak compensation circuit so that the compensated direct-current level is basically consistent with the radio-frequency signal peak; the output of a compensation circuit is connected to two input ends of a multiplying unit; and after filtering, amplification and zero compensation are performed on the output of the multiplying unit, a direct current signal in direct proportion to the power of a to-be-detected signal is obtained on the output end of the detection circuit. The power detection circuit is characterized in that all functional circuits are mutually independent and convenient to debug; the compensation circuit can be precisely adjusted and measurement precision degree is quite high in a certain frequency and power range; by setting circuit parameters, responding speed is flexible and adjustable; and over hundreds of milliwatt of radio-frequency signal power can be measured, and the power detection circuit has quite high practical value and attractive application prospect.

The invention discloses a microwave-based vehicle queue length detection method and system, including an array antenna module and a radio frequency module for transmitting multiple beams in the detection coverage area, and receiving the returned multiple beams; a model database is used for detecting the coverage area The coordinate system is established in the area, and each lane is numbered to determine the coordinate range of each lane on the Y axis; the tracking algorithm module is used to analyze multiple beams returned in one scanning cycle; it is also used to determine the vehicle's next The estimated area that will appear in the scanning cycle; it is also used to analyze multiple beams returned in the next scanning cycle; the data processing module is used to synthesize the data of the model database and the tracking algorithm module, and judge whether the speed of the vehicle is less than the predetermined value, to calculate the queue length. The invention can track the state of the vehicle in real time, analyze the queuing situation of the vehicle in real time, avoid being affected by the environment, and provide a basis for the control of traffic signals.

The present invention discloses a structural light-based airport runway foreign body detection system. The system includes a detection vehicle as well as a line laser module, an image acquisition module and a computer control and processing module which are all mounted on the detection vehicle; the line laser module is mounted at the rear end of the detection vehicle and projects a structural light plane to the surface of a runway with a certain attitude so that the structural light plane can form a structural light strip; the image acquisition module is located at the rear end of the test vehicle and is located at the same plane with the line laser module, wherein the plane is perpendicular to the surface of the runway; the image acquisition module acquires the light strip image of the surface of the runway with a certain attitude and transmits light strip image data to a computer; and the computer control and processing module is located inside the detection vehicle, controls the image acquisition module to acquire the light strip image of the surface of the runway, and processes the light strip image data in real time through related software and judges whether a foreign body exists on the runway.

A laser beam detection device and method based on an ENZ theory, and belongs to the technical field of laser. The laser beam detection device and method in the prior art has the defects of being cumbersome in operating steps, low in detection precision, hard to improve the resolution ratio, low in signal-to-noise ratio and high in cost. The device charge coupled device (CCD) detector is connected with a data processing computer. An imaging lens is arranged ahead of the CCD detector. The light-sensitive surface of the CCD detector and the focal plane c of the imaging lens are in parallel. The CCD detector is fixed on a slider. A guide slider mechanism is composed of the slider and a guide. The method takes the detected laser beam flare intensity image in the imaging lens focal plane c and the symmetrical front out-of focal plane a and the back out-of focal plane b and adopts an ENZ polynomial structure wave-front fitting coefficient to get an equation set. The multiple wave-front coefficient value correlation of the wave-front of the fitting pupil flat surface laser beam is obtained by solving the equation set, and then the high order error is eliminated by iterative algorithm and the accurate wave-front fitting coefficient value is got, thereby obtaining the phase position and the amplitude of the pupil flat surface laser beam. The characteristic value is calculated through moment method according to phase position and intensity information.

The present invention discloses a fuzzy forecasting model based method for detecting pulp concentration in an ore grinding process of a dressing plant. The ore grinding concentration and overflow concentration are predicted and estimated online by using a fuzzy model construction method based on soft computing, a characteristic variable set in a forecasting model is established based on applying an attribute set evaluation metric based on neighborhood decision resolution and a characteristic set selection method on field record data, a fuzzy scheme is established based on applying the fuzzy scheme construction method based on an effective information rate on the field record data, and a prediction rule is obtained by performing fuzzy prediction rule extraction on the field data. By means of the method provided by the present invention, the subjectivity and limitation of a conventional fuzzy modeling method are avoided, a stable and reliable prediction result can be provided for the detection of a key parameter in the ore grinding process of the dressing plant, and a basis is established for the optimization control and process monitoring of the ore grinding process.

The invention discloses an IPv6 network-orientated detection method for counterfeit source address messages. According to the method, a client constructs M counterfeit source address messages according to the instruction of a detection command, constructs a detection queue with M normal messages, and sends the detection queue to a server; the server analyses a one-time detection result according to the case of receiving the normal messages and the counterfeit source address messages, and calculates a preliminary filter effect for the counterfeit source address of a host according to the one-time detection result; the server calculates a final filter effect for the counterfeit source address of the host according to the N-time detection results of the single host; the source address filter effect of a subnet is calculated according to the multi-time detection results of a plurality of hosts in the single subnet. According to the method disclosed by the invention, the counterfeit IPv6 source address messages are constructed according to the instruction of the server, and the server analyses and detects whether the client implements fine-grained source address verification while being accessed to the subnet according to the receiving condition of the counterfeit source address messages.

The invention discloses a non-dispersive infrared light gas detection system adopting an electric pulse infrared light modulation method, so as to reduce power consumption at the part where infrared light is modulated, and stability is improved; an internal coating method is adopted in structural design of a gas chamber, so that infrared light diffusion and external disturbance are reduced further, and gas detection accuracy is improved; a calibrating circuit is used for signal processing, so that different collected gas can be detected accurately through calibration; a programmable logic device is adopted to calibrate different environmental factors in air through software collection, the functions of data teletransmission, abnormity warning and the like are achieved through FPGA treatment, thereby improving module detection precision, timeliness and stability and reducing system cost simultaneously. The non-dispersive gas detection system disclosed by the invention has the advantages that the system is small in volume and low in power consumption, continuity and timeliness of gas detection can be achieved, and the detection precision is improved greatly.

The invention provides an electric power employee safety helmet wearing automatic identification method, and relates to the technical field of mode identification and intelligent video analysis; a pedestrian detection model taking a pedestrian training sample as input is established, and pedestrian area detection of a test sample is realized through network parameter fine tuning; an SSD safety helmet detection model taking a safety helmet training sample set as input is established, a pedestrian upper body area image obtained by the pedestrian detection model is input into the trained SSD safety helmet detection model, and real-time and high-accuracy safety helmet wearing automatic identification is realized through SSD network parameter fine adjustment. According to the electric power employee helmet wearing automatic identification method, the efficient machine learning algorithm is utilized to directly detect the target, the detection precision is prevented from being influenced bycolor and edge feature changes caused by external environment changes, and the detection precision and the detection efficiency are improved by adopting two detection model cascade application modes at the same time.

The invention provides a bridge surface crack detection device which comprises a detection vehicle, a connecting mechanism is arranged on the rear side of the detection vehicle, and the connecting mechanism is connected with image acquisition equipment and used for fixing the image acquisition equipment and controlling the horizontal height of the image acquisition equipment; positioning equipmentand central control equipment are further arranged in the detection vehicle; the central control equipment is connected with the image acquisition equipment, the connecting mechanism and the positioning equipment respectively; the image acquisition equipment sends an acquired bridge surface image to the central control equipment, the central control equipment performs crack identification detection according to the bridge surface image, and crack identification information and corresponding positioning information are sent to the cloud server when it is detected that cracks exist in the bridge surface image. The detection vehicle is controlled to travel to traverse the bridge pavement to automatically obtain the image of the bridge asphalt pavement surface, the obtained image is automatically and intelligently analyzed, crack information existing in the image is recognized and detected, the labor cost can be effectively reduced, and the accuracy of bridge surface crack detection is improved.

The invention provides a laser marking and camera detection system based on Internet of things. An automatic assembling machine comprises a body, a transportation device, a marking device, a detectiondevice, a limiting device, a protecting device, a dust collecting device and a controller, wherein the transportation device is used for transporting products and transporting the products under protection of the limiting device; the marking device is configured to mark numbers of straightened product positions; the limiting device is configured to adjust the positions of the products; the detection device is configured to detect the processing quality of the products which are marked by the marking device; and the dust collecting device is configured to recovery soot generated in the body. Through each double electrode plate, particles, reverse to soot particles in polarity, are introduced, so that dust can be adsorbed, and a dust collecting operation can be carried out on dust particleswith different polarities.

The invention discloses a riverway water quality detection device which comprises a bracket, a detection device and a sampling device; the bracket comprises a base and a supporting rod vertically arranged on the base; the sampling device comprises a sampling outer pipe and a sampling inner pipe; the sampling outer pipe comprises a sampling transverse pipe and a sampling vertical pipe; the detection device comprises a shell; the shell is internally provided with a detection unit and a sample placement groove; the detection unit comprises a testing electrode, a rotation mechanism used for driving the testing electrode to rotate and a lifting mechanism used for driving the testing electrode to move up and down; and a first lifting mechanism used for driving the detection device to move up anddown is also provided. For the riverway water quality detection device provided by the invention, by combining sampling and detection, detection can be performed directly in the sampling process, thedetection step is saved, and the detection accuracy is high; and in addition, the riverway water quality detection device performs sampling by enabling the sampling outer pipe to directly extend intoa riverway, avoids that the detection accuracy is influenced by movement due to water flow impact and is high in detection precision.

The invention relates to the field of steel pipe nondestructive testing devices, in particular to a steel pipe nondestructive testing feeding device which comprises a base, a flaw detector, a feedingstructure, a rotating structure, a sweeping structure, a clamping structure and a cleaning structure. Through the arrangement of the clamping structure, the side wall of the upper half part of a steelpipe can be clamped and fixed by utilizing the gravity of the steel pipe, and therefore the steel pipe can be prevented from slipping off in the detection process, and the detection quality is improved; through work of the feeding structure, the steel pipe needing to be detected can be automatically conveyed to a detection area to be detected, time and labor can be saved, and meanwhile the detection precision effect can be improved; and when the feeding structure works, the rotating structure can be synchronously driven to work, through work of the rotating structure, rotation of the steel pipe can be achieved while the steel pipe is fed, and therefore all-around detection of the steel pipe can be conducted, the detection effect is improved, and the rotating structure can synchronously drive the sweeping structure to work while working.

The invention relates to the technical field of optical imaging, microwave imaging, radar detection, wireless communication, sonar, ultrasonic imaging and target detection and imaging recognition based on media such as sound, light and electricity, in particular to a sum and difference beam imaging target detection and precise angle measurement method and application thereof in the fields. The method comprises the following steps of: firstly, carrying out sum beam imaging processing on an echo signal received by an array unit, and carrying out target detection and amplitude comparison method angle measurement on an obtained sum beam imaging result; then, conducting difference beam imaging processing on the echo signal, on the basis, combining a sum beam target detection result and angle measurement data, and precisely measuring the angle coordinates of the target through difference beam nulling corresponding to the target, thus avoiding the influence of the difference beam coverage range, shape and linearity on the detection precision. Moreover, the precise angle coordinates of all targets can be obtained through one-time difference beam imaging, thereby achieving the precise and rapid measurement of the angular coordinates of the targets.