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 discloses a device and a method for detecting an iron ore raw material. The detection device replaces a suspending detection device in the prior art and comprises a vertical electrothermal furnace system, a mechanical lifting system, an electronic balance, a lifting vertical pipe system, a computer control system and a gas supply system, wherein a weighing balance is placed at the bottom of the furnace body; and the balance supports an iron ore reducing test sample through a lifting vertical pipe, measures the mass of the test sample in real time and calculates the reducing degree of the test sample according to the mass loss after reduction of the test sample and the oxygen content before reduction. The detection device for detecting according to the detection method provided by the invention has the characteristics of simple structure, low work environment temperature of the balance, high detection precision, convenience in operation and the like.

The invention discloses a polarization imaging endoscope system and an endoscopic imaging method. The system comprises a light source, a polarizing device, an endoscope device and a polarization analyzing and camera shooting device, wherein the polarizing device is used for modulating light of the light source into illumination light of different polarization states, the endoscope device is used for irradiating the illumination light of the different polarization states from the polarizing device onto the surface of shot tissue, and the polarization analyzing and camera shooting device is used for carrying out imaging on return light of the surface of the shot tissue and carrying out camera shooting on the formed images. The polarization imaging endoscope system is characterized in that the polarization analyzing and camera shooting device comprises a polarization analysis lens array and a camera shooting unit, the polarization analysis lens array and the camera shooting unit are arranged in sequence, and the polarization analysis lens array comprises at least four polarization analysis array units which are respectively used for carrying out analysis and imaging on the light of different polarization states in the return light. The camera shooting unit is used for carrying out camera shooting on the images formed by the four polarization analysis array units. The polarization imaging endoscope system and the endoscopic imaging method have the advantages of achieving polarization imaging rapidly.

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 queuing length detection method and system. The system includes an array antenna module, a radio frequency module, a model database, a tracking algorithm module and a data processing module; the array antenna module and the radio frequency module are used for transmitting a plurality of beams in a detection coverage area and receiving returned beams; the model database is used for building a coordinate system at the detection coverage area and numbering each lane so as to determine the coordinate range of each lane on a Y axis; the tracking algorithm module is used for analyzing a plurality of beams returned within one scanning period, is also used for determining a predicted region where a vehicle will appear in a next scanning period, andis further used for analyzing a plurality of beams returned within the next scanning period; and the data processing module is used for integrating the data of the model database and tracking algorithm module and determining whether the speed of the vehicle is smaller than a predetermined value so as to calculate queuing length. With the method and system of the invention adopted, the state of the vehicle can be tracked in real time, the queuing situation of the vehicle can be analyzed in real time, the influence of an environment can be avoided, and a basis can be provided for the control oftraffic signals.

The invention relates to a long-stroke position detection device and method. The detection device comprises a permanent magnet and a detection circuit board. The permanent magnet is fixedly arranged on a movable component at a position to be detected and does linear displacement along with the movable component; the detection circuit board detects the position of the permanent magnet in real time.The detection circuit board is a PCB comprising a magnetic sensor array, a multichannel gating module and a microprocessor module. By adopting the magnetic sensor array, the influence of magnetic field harmonic waves and external stray magnetic fields on the detection precision is avoided, meanwhile, errors caused by uneven air gaps can be reduced, and the magnetic sensor array has the advantageof high linearity. By adopting the multichannel gating module and the microprocessor module, only analog signals output by the magnetic sensor array close to or about to be close to the current to-be-detected position are subjected to signal gating, the number of channels of a synchronous analog-to-digital converter and the complexity of a conditioning circuit structure are reduced while the real-time performance of detection is ensured, and low power consumption is achieved.

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.

The invention discloses a tool for detection of soil water content and especially relates to a fast detector of soil water content and a detection method therefor. The fast detector comprises a stainless steel housing (1). A receiving chamber (2), magnetrons (3), an infrared lamp (4), an automatic weighing device (5) and a weighing support (6) are installed in the stainless steel housing (1). The weighing support (6) is installed in the receiving chamber (2), passes through the top of the receiving chamber (2) and is connected to the stainless steel housing (1) by a connection rod. The automatic weighing device (5) is arranged on the connection rod. The magnetrons (3) are installed at outer side walls of the receiving chamber (2). The fast detector avoids the influence produced by factors such as natural water loss in transport on detection accuracy, avoids the influence on the whole engineering progress, effectively prevents soil sample burst in heating, guarantees soil sample integrity and improves detection accuracy.

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 invention discloses an indoor methanol concentration detecting system with a temperature compensating function. The indoor methanol concentration detecting system comprises a methanol concentration sensor, a temperature sensor, an analog / digital converting module, a microcontroller module, a display module and a data transmission module, wherein the methanol concentration sensor and the temperature sensor are connected with the microcontroller module via the analog / digital converting module; and the display module and the data transmission module are connected to corresponding ports of the microcontroller module.

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 unmanned plane borne hyperspectral image detector with a function of synchronization radiation correction, and the detector comprises a target spectrum image detector and an image processor which carries out data communication with the target spectrum image detector. The target spectrum image detector comprises a camera lens, a spectrum splitter and an image detector. One end, opposite to the camera lens, of the spectrum splitter is provided with a signal collection slit. The detector also comprises a reference light collector and a curved surface reflector. The reference light collector is disposed at an upper no-shading place of an unmanned plane. The curved surface reflector is disposed at one end of the signal collection slit of the spectrum splitter. Meanwhile, the invention also provides an unmanned plane borne hyperspectral image detection method with the function of synchronization radiation correction. The detector corrects the offset of the detection data in real time, facilitates the remarkable improvement of the data calculation precision, and is especially suitable for the sweeping detection of an unmanned plane borne hyperspectral image under the varied radiation conditions.

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 an elevator safety maintenance method. The elevator safety maintenance method comprises the steps that (1) the initial sliding distance of an elevator is acquired in a self-learning mode; (2) the actual sliding distance of the elevator is detected regularly; (3) corresponding processing is conducted on the elevator according to the relation among the initial sliding distance, the actual sliding distance and the preset critical sliding distance. According to the elevator safety maintenance method, a testing method is simple, and data analysis is conveniently conducted; due to the fact that the working condition of the elevator is detected regularly, the problems of the elevator are discovered in advance, maintenance and repair are timely conducted on the elevator, and the hidden danger is prevented before happening. Compared with the phenomenon that in the prior art, the elevator is processed only when the elevator has a fault, the elevator safety maintenance method has higher safety and operability.

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 relates to the technical field of biosensing detection, in particular to a nano mimic enzyme material, a preparation method and application thereof and a method for detecting ovomucoid. The invention provides a nano mimic enzyme material. The nano mimic enzyme material comprises copper peroxide and 3-aminophenylboronic acid which is chemically combined with the copper peroxide. The copper peroxide in the nano mimic enzyme material disclosed by the invention has ultrahigh enzyme activity so as to improve the generation of photochemical signals; the 3-aminophenylboronic acid can be specifically combined with vicinal diol on an ovoid mucoprotein sugar chain; the 3-aminophenylboronic acid enables copper peroxide to have better dispersibility and increased catalytic active sites, not only plays a role in specific binding of target molecules (ovomucoid), but also amplifies ultraviolet visible light signals, and fully exerts the excellent performance of the 3-aminophenylboronic acid as a probe material.

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 relates to an abnormal instruction detection method of a source network load interaction industrial control system. A machine learning open source framework is adopted to build an abnormal instruction detection model of the source network load interaction industrial control system based on a bidirectional short-long-term memory neural network; an instruction sequence of the source network load industrial control system is taken as an input layer of the bidirectional short-long-term memory neural network; an output layer is a detected instruction property; and the trained detection model as an abnormal instruction detection classifier is sent to an instruction anomaly analysis module of each operation unit for carrying out instruction anomaly detection and reporting anomaly information. According to the method, the instruction property is detected by comprehensively considering a context relationship of the instruction sequence, so that the influence on the detection precision due to the long-term dependence problem of the instruction sequence can be effectively solved. A set of closed-loop scheme for collection, identification, feedback and update training is furtherformed, so that the abnormal instruction detection model is continuously subjected to iterative optimization, and the abnormal instruction identification precision and adaptability can be effectivelyimproved.

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 multi-component waste gas online monitor, and relates to the technical field of waste gas monitors, the multi-component waste gas online monitor comprises an outer shell, a detection assembly and a second gas transmission assembly, the outer side of the front part of the outer shell is connected with a display screen, the outer side of the top of the outer shell is provided with a gas suction assembly, and the inner side of the gas suction assembly is connected with a gas transmission pipe; and a first gas conveying assembly is arranged at the tail end of the gas conveying pipe. According to the device, the rotating disc can be manually shifted to drive the exhaust pipe to rotate, after the exhaust pipe rotates, the exhaust pipe can be connected with different gas conveying pipes, the number of the gas conveying pipes, the number of the first gas conveying assemblies and the number of the communicating pipes are all four, and each gas conveying pipe is connected with one group of the first gas conveying assemblies and the communicating pipes; the multiple gas conveying channels are arranged in the equipment, other gas conveying channels can be replaced for working before waste gas in one gas conveying channel is pumped away, the use gap of the equipment can be greatly shortened, and the working efficiency of the equipment can be improved.

The invention discloses a polarization imaging endoscope system and an endoscopic imaging method. The system comprises a light source, a polarizing device, an endoscope device and a polarization analyzing and camera shooting device, wherein the polarizing device is used for modulating light of the light source into illumination light of different polarization states, the endoscope device is used for irradiating the illumination light of the different polarization states from the polarizing device onto the surface of shot tissue, and the polarization analyzing and camera shooting device is used for carrying out imaging on return light of the surface of the shot tissue and carrying out camera shooting on the formed images. The polarization imaging endoscope system is characterized in that the polarization analyzing and camera shooting device comprises a polarization analysis lens array and a camera shooting unit, the polarization analysis lens array and the camera shooting unit are arranged in sequence, and the polarization analysis lens array comprises at least four polarization analysis array units which are respectively used for carrying out analysis and imaging on the light of different polarization states in the return light. The camera shooting unit is used for carrying out camera shooting on the images formed by the four polarization analysis array units. The polarization imaging endoscope system and the endoscopic imaging method have the advantages of achieving polarization imaging rapidly.

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.