2463results about How to "Solve the accuracy problem" patented technology

The invention discloses a water-based cutting fluid used in slice machining of a hard brittle crystal material, comprising the following compositions: base oil, organic amine, organic acid, synthetic ester, emulsifier, rust and corrosion inhibitor, dispersion flocculation and hard-water resisting agent, antiseptic bactericide, antifoaming agent, coupling agent, adjuvant and a proper amount of water. Aiming at the machining techniques of inner circle slicing and outer circle slicing, the water-based cutting fluid has good generality, lubricity, strong antirust property and a long service life; when the cutting fluid is used, the machining situation can be observed easily, the cooling property is good, the cleaning and the permeability are strong, cuttings subside easily, and the machining problems of machining error, crack and the like caused by cutter blocking, abrasion and the like are solved; according to the invention, the problems that cuttings are easy to adhere and suspend, a cutter is seriously abraded, a machined product cracks easily, the accuracy is not high, the machining efficiency is low, the later period cleaning is complex and the like existing in the current slice machining of the hard brittle crystal material are solved, and further, a machine bed is protected, and the cost is reduced.

The invention provides a Chinese text classification method based on a super-deep convolution neural network structure model. The method comprises the steps of collecting a training corpus of a word vector from the internet, combining a Chinese word segmentation algorithm to conduct word segmentation on the training corpus, and obtaining a word vector model; collecting news of multiple Chinese news websites from the internet, and marking the category of the news as a corpus set for text classification, wherein the corpus set is divided into a training set corpus and a test set corpus; conducting word segmentation on the training set corpus and the test set corpus respectively, and then obtaining the word vectors corresponding to the training set corpus and the test set corpus respectively by utilizing the word vector model; establishing the super-deep convolution neural network structure model; inputting the word vector corresponding to the training set corpus into the super-deep convolution neural network structure model, and conducting training and obtaining a text classification model; inputting the Chinese text which needs to be sorted into the word vector model, obtaining the word vector of the Chinese text which needs to be classified, and then inputting the word vector into the text classification model to complete the Chinese text classification.

The invention relates to an indoor and outdoor seamless positioning system integrated with satellite navigation and a bluetooth technology, and a method thereof. The system comprises an outdoor satellite positioning module, an indoor bluetooth positioning module, an indoor and outdoor positioning fusion switchover module, and an electronic map display module. The outdoor satellite positioning module performs outdoor positioning by using GPS or Beidou Satellite navigation terminals. The indoor bluetooth positioning module performs indoor positioning by using a field intensity attenuation principle and a three-dimensional spatial positioning algorithm. The indoor and outdoor positioning fusion switchover module performs fusion, switchover, and integration on indoor and outdoor positioning methods according to strength of indoor and outdoor positioning communication signals and based on a federated kalman filter, so as to realize smooth transition of indoor and outdoor positioning. The electronic map display module displays positioning results based on two-dimensional electronic maps or indoor plane graphs, and three-dimensional building model scene graphs. The system can provide an indoor and outdoor integrated positioning function for intelligent mobile devices, and positioning speed is fast, and positioning precision is high.

The invention relates to the technical field of wireless communication networks, in particular to an indoor and outdoor integrated high-precision positioning and navigation system as well as a positioning method thereof. The system comprises a map data construction unit, an indoor ultra-wideband positioning and navigation unit, an outdoor BD / GPS positioning and navigation unit, an indoor and outdoor positioning data fusion unit, a central server unit and a terminal display unit, wherein the indoor ultra-wideband positioning and navigation unit is used for performing indoor space positioning in a ranging mode, the outdoor BD / GPS positioning and navigation unit is used for performing outdoor space positioning through a Beidou satellite navigation / GPS satellite navigation system, the indoor and outdoor positioning data fusion unit is used for judging whether a positioning label is indoor or outdoor and can intelligently switch positioning modes according to the judgment result and fuse indoor and outdoor positioning manners. Problems that positioning and navigation of personnel and objects in a large-range area are difficult to realize, not high in precision and the like at present are solved, and large signal interference and positioning deviation caused by mutual interference among signals can be avoided in the ranging mode.

The invention relates to a positioning method and a terminal. The method comprises the following steps of: judging whether the terminal is in an indoor environment or not; and when the terminal is in the indoor environment, positioning the indoor height of the terminal by a first positioning mode and / or positioning the indoor level of the terminal by a second positioning mode. The indoor height of the terminal is positioned by a pneumatic height gauge or an air pressure gauge and / or the indoor level of the terminal is positioned in combination with a height positioning result. By the two positioning modes, the problem of different requirements on height, the positioning accuracy of a horizontal plane and positioning delay time in indoor navigation positioning service is solved, positioning accuracy is enhanced, positioning delay time is shortened, user experience of indoor navigation positioning is improved and various application requirements of indoor navigation positioning and the like are met.

The invention relates to a real-time synchronization method based on PTP precision clock synchronization protocol of IEEE1588. The research on hardware of IEEE1588 protocol is still a blank at present. The method of the invention includes the following steps: sending messages; receiving messages; correcting the local system time; selecting the optimal master clock. And the synchronization action is different when the corresponding equipment is a master clock or a slave clock. The hardware method reduces the inherent fluctuation of data transmission time of internet technology, while not affecting the scope of precision control, thus resolving the problem of the clock uniformity and precision in a distributed network system.

The invention relates to a mobile robot positioning system and a method based on the plurality of the two-dimensional code readers. The mobile robot positioning system and the method are characterized in that the positioning system comprises a two-dimensional code positioning controller mounted on a mobile robot trolley, at least two two-dimensional code readers and two-dimensional code tags which are distributed on the ground, the two-dimensional code positioning controller is composed of a microprocessor and a communication interface which is connected with the at least two two-dimensional code readers; and the positioning method includes building three coordinate systems, calculating a deviation angle of the mobile robot trolley in a trolley coordinate system relative to a central point connection line of two two-dimensional codes, calculating a deviation angle of the central point connection line of two two-dimensional codes relative to a world coordinate system and calculating a deviation angle of the mobile robot trolley relative to the world coordinate system to obtain an accurate position of the mobile robot. According to the mobile robot positioning system and the method, the design is reasonable, an accurate positioning function for the mobile robot is achieved, and advantages of high accuracy and stability, implement convenience and the like are provided.

The invention discloses an aqueous grinding fluid applied to super precision grinding of hard and brittle materials and an application method thereof. The grinding liquid contains chelant 0.1-5, a pH value regulator 5-15, a suspending agent 0.2-5, a dispersion stabilizer 0.5-10, a lubricant 5-20, an antirusting agent 0.5-5, fungicide 0-2, a defoamer 0-2 and deionized water compensating the balance of total amount of 100 parts. Under an alkali condition, the aqueous grinding fluid applied to super precision grinding of hard and brittle materials is beneficial for grinding materials with various sizes, has good suspension property and dispersion stability; when the aqueous grinding fluid is used for super precision grinding of various different hard and brittle materials, especially high-hardness materials, scratches, etching pits and other defects are not produced easily; and the grinding speed is high, the subsequent cleaning is convenient; and the aqueous grinding fluid has excellent lubricating property and antirusting property when in matched use with the grinding materials, and the mixing liquid is uniform in color and has no sediment in 48 h. When the aqueous grinding fluid is used for grinding a wafer on a grinding machine, the ground wafer is subjected to water-added ultrasonic washing, and the wafer has good surface smooth finish, no scales, etching pits and other defects, and the surface roughness can be within 2 microns.

The invention discloses a high-slew-rate error amplifier-based high-accuracy and high-speed low dropout (LDO) regulator circuit, which comprises an over-the-air (OTA) circuit, a second-stage push-pull output circuit, a Miller compensation and dynamic zero compensation circuit, a load current detection circuit, a super source-level follower, a dynamic offset pipe, a feedback network and an output and load circuit. By the LDO circuit, the problems of low gain, low accuracy, low power supply suppression ratio and low response speed of the conventional LDO are solved.

The invention discloses a heavy-load precise double-arm manipulator with arms cooperating with each other in a space. The manipulator comprises a linkage guide rail assembly, the load-bearing mechanical arm used for bearing weights and the assistant positioning mechanical arm used for guaranteeing workpiece positioning precision. Because the load-bearing mechanical arm and the assistant positioning mechanical arm can cooperate with each other in the space, it is guaranteed that the whole manipulator structure has high load bearing capacity and also has high positioning precision, the problem of contradiction between the load bearing capacity and precision of existing manipulators is solved, and the requirements for clamping of workpieces with different shapes, high surface precision, high efficiency and high safety performance are met.

The invention discloses a performance fragment marking method, a video playing method, a video playing device, and a video playing system, and belongs to the multimedia technology field. The performance fragment marking method comprises steps that a multimedia file corresponding to a role is acquired; according to the multimedia file, the characteristic of the role can be determined; a target video is decoded to acquire a data frame and a plating time stamp corresponding to the data frame; a target data frame matched with the characteristic of the role is identified in the data frame of the target video; according to the playing time stamp of the target data frame, performance fragment information corresponding to the role is marked automatically. According to the invention, a server can be used for the automatic marking of a plurality of target videos at the same time, and therefore problems of operation editors of low efficiency and poor accuracy caused by the fact that the operationeditors can only mark a small part of vides in a limited time period can be solved, and effect of marking the target video effectively in the limited time period can be achieved.

The invention relates to a finite element modeling and bearing method for a line-tower coupling system of a power transmission tower. In the method, a three dimensional CAD (Computer Aided Design) model of the whole structure component of the power transmission tower is actively simplified; a frame characteristic structure is extracted, and a finite element model base is established according to the frame characteristic structure; a single plane is gradually transited to multiple planes by transforming work planes according to the actual shape of the power transmission tower structure, and the single plane structure is gradually 'spliced' to form a multi-plane structure dynamically; a lead is subjected to parameter modeling by adopting an analysis and numerical value comprehensive method,and is combined with the power transmission tower model, so that the finite element model of the line-tower coupling system of the power transmission tower is finally determined; and wind speed, temperature and other parameters are input in a loader program to perform uniformly distributed load, and after the calculation is completed, a required result is analyzed and extracted automatically by virtue of the program. By utilizing the method, the finite element analyzing circle is effectively shortened, the computational mechanic theory of the line-tower coupling system of the power transmission tower is represented, and the finite element model is more accurate than the CAD model geometrically.

The invention discloses a laser and microbeam plasma composite 3D (3-dimensional) printing equipment and method. The equipment comprises a central control system, a sealing forming chamber, a laser forming device and a plasma processing device, wherein a laser forming spray head and a plasma gun are correspondingly put on a support frame arranged at the left and right side inner walls of the sealing forming chamber, and the laser forming spray head or the plasma gun is clamped through a co-work numerical control main shaft, so that the laser forming spray head or the plasma gun moves in the Z, X and Y directions in the sealing forming chamber. The central control system controls the co-work numerical control main shaft for conveying back the laser forming spray head back to the support frame, then, the co-work numerical control main shaft clamps the plasma gun for filling the inside of the profile of a formed metal part, and the work is alternately carried out in such a way until the part manufacturing is completed, so that the scanning time is reduced to a great degree. The laser fast forming is combined with the plasma, the problem of conflict between the efficiency and the precision of a metal 3D printing technology is solved, and in addition, the plasma is adopted for replacing the laser to be used as a heat source, so that the high-efficiency and low-cost industrial level metal 3D printing equipment is obtained.

The invention relates to an explosion-proof reconnaissance robot, which comprises an explosion-proof reconnaissance robot moving platform, an explosion-proof environment parameter acquisition mechanism, an explosion-proof infrared data acquisition mechanism, an explosion-proof camera mechanism and a host computer console. Crawler belt falling or rolling over does not happen when the explosion-proof reconnaissance robot passes an object with different left and right heights; the explosion-proof reconnaissance robot can still travel safely when high-temperature flame burns a body per se or crawler belts; through the communication protocol and the control mechanism, the chassis control algorithm driven by the target can be realized, and the response speed and control precision of the robot are improved; the movement performance, safety and applicability of the reconnaissance robot in the complex, harsh or even high-risk environments are improved, the survival rate of the reconnaissance robot is increased, the reconnaissance robot can enter the scenes of dangerous disasters and accidents, such as radioactive, high-temperature, flammable and combustible, toxic, oxygen-deficient and heavy-smoke scenes, for reconnaissance, data acquisition and even rescue by replacing workers, and thus the problems such as personal safety of workers and insufficient data acquisition at the scenes areeffectively solved.

The invention discloses a solder joint type detection method and apparatus based on image identification, and relates to the technical field of automatic optical detection. The solder joint type detection method based on image identification includes the steps: based on the obtained soldering tin images of at least two types of solder joints, establishing a training sample set; based on the training samples in the training sample set, training a pre-constructed convolution neural network; and inputting soldering tin images to be identified into the pre-constructed convolution neural network which completes the training, and identifying the types of solder joints in the soldering tin images. The technical scheme of the solder joint type detection method and apparatus based on image identification can utilize the convolution neural network to identify the soldering tin images, thus solving the problem that a traditional soldering tin defect detection method has trouble in plate making and is low in precision and stability, and can simply and quickly identify the welding sport type so as to realize accurate detection of defects of soldering tin by inputting the soldering tin images into the convolution neural network which completes the training.

The invention provides a mobile ultrasonic anemoclinograph and a method for measuring wind speed and direction, wherein the device comprises an ultrasonic wind speed and direction measuring unit, a mobile system carrier speed measuring unit and a system direction measuring unit; the wind speed and direction measuring unit comprises a base, a control circuit board, six measuring arms and six ultrasonic transmitting / receiving sensors; the measuring arms are connected to the base and in an included angle at 60 degrees in turn; each measuring arm is provided with an ultrasonic sensor; the speed and direction measuring unit of the system carrier comprises a speed sensor and a direction measuring component; simultaneously, the invention further provides a method for measuring the wind speed anddirection in actual environment under a mobile condition by ultrasonic, wherein the method comprises the steps of: measuring the wind speed and direction parameters under the mobile condition by the ultrasonic wind speed and direction measuring unit; combining the measured moving speed and direction parameters of the system carrier; and calculating the measured wind speed and direction parametersin actual environment of the system under a mobile condition.

Embodiments of the invention provide a single base station-based positioning system and method. The system comprises a base station and a label, wherein the base station comprises a positioning moduleand array antennas; the positioning module is connected with the array antennas; the label is used for receiving and transmitting wireless signals so as to realize information interaction with the base station; the array antennas are used for obtaining measurement distances from the label to the array antennas and signal phases according to a distance measurement and phase measurement algorithm;the quantity of the array antennas is greater than or equal to 2; the positions of the array antennas are non-collinear; the distances between adjacent array antennas are preset values; and the positioning module is used for obtaining angle information of the label relative to the base station according to the signal phases on the basis of a given error criterion and obtaining a position of the label relative to the base station according to the angle information and the measurement distances. According to the single base station-based positioning system and method, positioning can be realizedby using a single base station and a plurality of antennas, so that the scale and cost of the system are reduced, and the positioning precision, positioning speed and system stability are improved.

The invention discloses a tunnel structure monitoring system and a tunnel structure monitoring method based on a distributed long-gauge fiber bragg grating. The system comprises distributed long-gauge fiber bragg grating sensors which are comprehensively distributed in a monitored range along the axial direction and the cross section of a tunnel; and longitudinal sedimentation of the tunnel and change conditions of various ring joints of the shield tunnel are monitored. The method comprises the following steps of arranging the distributed long-gauge fiber bragg grating sensors; and acquiring, transmitting and processing data. By the tunnel structure monitoring system and the tunnel structure monitoring method based on the distributed long-gauge fiber bragg grating, full-life monitoring on a tunnel structure in a construction period and a running period can be carried out, and longitudinal sedimentation, convergence deformation, joint deformation, duct piece internal force, strain and the like of the tunnel structure are dynamically monitored in real time.

The embodiment of the invention discloses a key point prediction method and device, an electronic device and a storage medium. The method comprises: a target area including a to-be-identified person in a video frame is obtained; the target area is inputted into any neural network unit in a neural network and a key point hotspot map is generated, wherein the neural network includes a plurality of cascaded neural network units, each neural network unit includes a long-term and short-term memory sub network for screening a memory feature according to the target area and an output result from thelong-term and short-term memory sub network corresponding to the previous-stage neural network unit of the current neural network unit, and the memory feature is used for determining the key point hotspot map; and on the basis of the key point hotspot, location information of a body key point in the video frame is determined. Therefore, quick and high-precision key point prediction of a video is realized; and the accuracy of the key point prediction is improved.

A network weight distance vector positioning method of radio transducer includes carrying out weight treatment on average each jump distance of each received anchor node based on DV-hop positioning means and considering estimated average each jump distance of multiple anchor nodes, calculating distance between unknown node and anchor node by utilizing final average each jump distance for effectively decreasing estimation deviation and for effectively raising the positioning accuracy of complete network.

The invention relates to a detecting method and a detecting device of the surface-shape error of a double curved surface convex reflecting mirror, which takes an aberrationless laser convergent beam as an incident beam scanning the convex of the detected reflecting mirror and takes wavefront detector as a measuring tool to coincide the focus of the incident beam with the virtual focus of the detected double curved surface reflector; the incident beam is imaged at the real focus of the detected double curved surface reflecting mirror after being reflected by the detected reflector, an imaging beam enters in the wavefront detector after being collimated by an anaberration collimating lens, and the surface-shape error of a local area is detected by the wavefront detector; the incident beam radically scans around the virtual focus of the detected double curved surface reflector, the detected double curved surface reflecting mirror rotates a circle around an optic axis when the incident beam scans each step, and the surface-shape error of each local area inside a whole mirror surface is detected circularly; and the detected surface-shape error of the local area is subject to matching and Zernike polynomial polynomial fitting to obtain the surface-shape error of the whole double curved surface convex reflecting mirror. The invention provides a low-cost and high-precision detection means of the large-caliber double curved surface convex reflecting mirror.

A binocular vision splicing method based on a laser tracker of the invention belongs to the technical field of computer vision measurement, and relates to a binocular vision splicing method based on a laser tracker. 3D data splicing is carried out using a laser tracker and a binocular vision system in the invention. The whole splicing process includes the steps of calibrating the binocular vision system, calibrating a binocular vision measurement system and a control point, data acquisition, and transformation matrix solving. 3D data splicing is completed by transforming measurement data obtained in different positions to a global coordinate system according to the transformation matrix of the data. The method does not need manual arrangement of mark points, and has high measurement efficiency and a large measurement range. The method well combines the high speed of vision measurement and the high measurement precision of the laser tracker. High-precision and fast global measurement of large aircraft parts is realized. The coordinate transformation chain is simple. There is no accumulated error for multi-region measurement. The method is of high applicability.

The invention discloses a method for establishing a dynamic and static aero-engine onboard model and belongs to the technical field of aero-engine control. Firstly, sample data compression is conducted through a similarity criterion and a taylor expansion principle so that the sample data size can be greatly reduced and time can be greatly shortened; then, a dynamic onboard model based on a sparse autocoder and a static onboard model based on a BP neural network are trained through dynamic data and static data in compressed sample data respectively; finally, corresponding quasi-steady-state judgment logic is set, the sparse autocoder dynamic model is used in the dynamic process, and the BP network static model is used in the static process. Compared with the prior art, the established aero-engine onboard model has higher precision under the dynamic condition and the static condition and is better in instantaneity and lower in requirement for data storage space.

The invention discloses a real-time control dynamics modeling method for a multi-freedom-degree parallel mechanism. The method includes the steps that firstly, a lagrangian method is utilized to deduce a dynamics model of the parallel mechanism, then, a model simplification strategy for decomposing the quality of a branched chain is provided based on simulated analysis and mechanism kinematic characteristics, a simplified dynamics model is established, and an error compensation model caused by model simplification is established; secondly, the input and the output of the error compensation model are utilized to conduct offline train on a neural network; eventually, based on the simplified dynamics model, the trained neutral network is utilized to conduct intelligent error compensation on the simplified dynamics model, and high-precision dynamics model with the real-time control function is established. According to the method, the traditional lagrangian method and the neutral network are combined, the problem that contradiction exists between the real time performance and accuracy when the dynamics control method of the parallel mechanism is practically applied is solved, calculating efficiency of the complex dynamics model is improved, and accuracy is high.

The invention discloses a biochip analysis method based on an active contour model and a cell neural network. The method comprises the following steps that improved Hough transformation is adopted to perform slant correction on a rectangular sampling point, and improved Radon transformation is adopted for a circular sampling point; initial positioning is performed on the sampling points by using a projection method, and an optimized network is generated; then the network is adaptively adjusted on the basis of neighborhood search, and secondary precise positioning is performed on the sampling points; the active contour model is optimized by using a greedy algorithm, and a CNN (Cable News Network) is utilized to classify the sampling points in accordance with signal strength; Multiple snakes are combined with the CNN, the CNN first learns about the convergence behavior of the sampling point snake with a strong signal and then guides the convergence of the sampling point snake with a weak signal, and finally, reasonable partition of the sampling points is realized; and signal data of microarray sampling points is extracted and output. By using the method, the problems of slant correction of a biochip image, difficulty in partition of sampling points with irregular shapes and sampling points with weak signals and the like are solved, automatic identification of biochip sampling points is realized, and the method is suitable for quick analysis of large-scale biochip sampling points.

The invention discloses a method for the calibration of vectorial coordinate transformation and the modification of errors of a digital image probe, and a device thereof; the noncontact optical measurement principle is adopted to realize the precise calibration and accurate modification of errors of the image probe in high-accurate two-dimensional measurement and ensure an accurate measurement result. The method of calibration is realized completely on the basis of the measuring principle of the image probe, without the existence of the errors of calibration principle. The process of calibration is based on the self-calibration principle, a virtual calibration point is formed by fixing a target object and moving the probe, then the calibration operation is fulfilled by constructing a vector, therefore, the operability of equipment is improved; by calculating the position of the image optical centre of an probe image sensor to be taken as the calibration origin, a new measurement error caused by the offset of a coordinate system is avoided to be introduced after the multiplying power of the probe is adjusted, the requirements of measurement in different application situations are ensured, and as the probe self-calibration technology is adopted, the calibration of the probe is ensured to have very high accuracy; the error self-modification is realized by moving a precise three-dimensional moving mechanical device to extract error meshes.

The invention discloses a Brillouin optical time domain reflectometer for single-photon detection based on an edged filter method, which comprises a narrow linewidth laser (1), a pulse modulator (2), a circulator (3), a sensing optical fiber (4), an optical fiber module (5), 3dB coupler (6), a linear edged filter (7), an InGaAs / InP SPAD (single-photon avalanche diode) detector group (8), a signal generator (9), a data processing module (10) and a pulse signal generator (11), wherein the InGaAs / InP SPAD detector group (8) includes two or three InGaAs / InP SPAD detectors. The InGaAs / InP SPAD detector group with a high counting rate and high sensitivity is used as a detection unit, Brillouin frequency shift information is acquired by the edged filter method, time correlation single-photon counting technology is adopted by the data processing module (10), limitations on the bandwidth and sensitivity of a traditional detector are broken through, spatial resolution and measuring precision of the reflectometer can be simultaneously improved, and temperature and strain are simultaneously sensed.

The embodiment of the invention discloses a monocular depth estimation method, a device, a terminal and a storage medium. The method comprises the following steps: obtaining monocular video; determining a semi-dense depth map corresponding to key image frames in the monocular video according to a preset reconstruction algorithm; using the key image frame and the semi-dense depth map as inputs of apreset neural network model, and determining the dense depth map corresponding to the key image frame according to the output of the preset neural network model. The technical proposal of the embodiment of the invention effectively combines a preset reconstruction algorithm and a preset neural network model, thereby obtaining a dense and high-precision depth map.

The invention provides a combined navigation method applicable to an unmanned aerial vehicle in a glide landing stage, and aims to provide a combined navigation method which is low in cost and simple in engineering implementation. According to the technical scheme, the method comprises the following steps of: (1) in an airport for glide test or flying, inputting a precise positioning measurement data point serving as reference data into calculation software of a differential global positioning system (GPS) ground station; (2) when an onboard differential GPS antenna receives GPS signals of three or more satellites, intersecting a position information coordinate of the unmanned aerial vehicle by the onboard differential GPS antenna, correcting the coordinate information of the unmanned aerial vehicle, which is measured by the onboard differential GPS antenna in real time, according to pseudo-range information emitted by the differential GPS ground station in real time, and eliminating a common error; and (3) sending the corrected coordinate information of the real-time position of the unmanned aerial vehicle to an independent inertia navigation system on an airplane through an RS232 signal, correcting state data such as the position, the speed and the attitude angle of the airplane, which are measured by the inertia navigation system in real time, by the inertia navigation system, sending the precise position information to a flying control computer through RS422, and performing precise control over glide landing of the airplane.

The invention discloses a spontaneous Brillouin scattering optical time domain reflectometer (BOTDR) based on a superconductive nanowire single-proton detector, which is characterized in that an optical pulse emitted by an optical pulse generating unit is coupled to a sensing optical fiber through a circulator, backward scattered light scattered from the sensing optical fiber is subjected to filtration of rayleigh scattering light through an optical filter unit to obtain Brillouin scattering light, a back scattering light signal is detected by the superconductive nanowire single-proton detector, an electric signal output from the superconductive nanowire single-proton detector is acquired and processed by a data acquiring and processing unit, and finally, a result is obtained through a certain demodulation relation. Compared with the traditional BOTDR, the BOTDR provided by the invention is used for carrying out data acquisition and processing by adopting the noise equivalent power (NEP) low / no-bandwidth-limit superconductive nanowire single-proton detector as a detection unit and adopting a single-proton counting technology.