64 results about "Visible light positioning" patented technology

The invention discloses a visible light indoor adaptive positioning method fusing self-attention and a width learning network. The method specifically comprises the following steps: step 1, collecting pose information of received signal strength RSS and PD at different indoor space reference points; step 2, constructing a multi-dimensional feature fingerprint database containing reference point coordinates, RSS values and pose information; step 3, constructing an SA-BLS positioning model and carrying out training; 4, testing the positioning model trained in the step 3; and step 5, inputting the RSS and PD pose data at the target point to be positioned into the tested positioning model, calculating the coordinates of the target position, and outputting a positioning result. According to the invention, the problem that the existing positioning method is poor in precision due to the fact that the receiving end of the existing visible light positioning is in a fixed pose and the pose of the receiving end is dynamic and the RSS obviously fluctuates in practical application in the prior art is solved.

The invention discloses a multipath effect suppression method for indoor visible light positioning, relates to the technical field of indoor visible light communication and positioning, and aims to solve the problems in the prior art, the method comprises the following steps: constructing a fractional order chaotic signal generator and starting to generate a chaotic sequence signal; the chaotic sequence signals are modulated and loaded to an LED array and a driving circuit thereof, and optical signals carrying fractional order chaotic characteristics are generated and transmitted; after being propagated indoors, the optical signal is acquired by a photoelectric detector, is preprocessed and then is transmitted to a field FPGA (Field Programmable Gate Array); in the FPGA, based on a compressed sensing theory, modeling the received signal and constructing an adaptive sensing matrix to obtain a compressed observation signal; iteratively recovering sparse channel response from the compressed observation signal by adopting a path focusing guide orthogonal matching pursuit algorithm; and the FPGA extracts main path information from the reconstructed sparse channel response, and calculates a final positioning coordinate in combination with an arrival time positioning model. And in indoor visible light positioning, the method has a good capability of resisting a multipath effect.

The invention belongs to the technical field of visible light positioning, and relates to a visible light sparse fingerprint positioning method and system based on MLS-WKNN and a medium, and the method comprises the steps: collecting the received signal strength of a sampling point; fitting a received signal strength prediction value of each light source at the interpolation point through a moving least square method; constructing a dense fingerprint database through the received signal strength of the sampling points and the received signal strength predicted values of the interpolation points; collecting the real-time receiving signal intensity of the target point; and based on the real-time received signal strength and the dense fingerprint database, obtaining an accurate position estimation value of the target point through a weighted K-nearest neighbor algorithm. The sparse fingerprint database is subjected to MLS interpolation, the precision of sparse visible light fingerprint positioning is improved, and compared with an existing interpolation mode, the positioning precision is higher.

How to reduce the error of visible light positioning is the technical problem focused in the current positioning technology, and reduction of the positioning error by adopting the neural network technology is an important scheme for solving the problem. The invention provides a deep learning fusion system for visible light positioning and a method thereof, and aims to solve the problems of unstable model training effect, insufficient positioning precision and poor generalization ability caused by insufficient data acquisition amount in the prior art, or the problems of long training time caused by overlarge data scale and the like. According to the method, the corresponding small model neural network or large model neural network is selected for training and prediction according to the scale of the collected data volume in different operation stages of the system, and a dynamic judgment and periodical comparison mechanism is combined, so that quick and stable positioning output is realized when the data is limited; when the data is sufficient, a high-precision and high-robustness positioning effect is realized, so that the adaptability and reliability of the system in practical application are improved.

The invention discloses a visible light positioning method based on a single light source base station and double photosensitive position detectors. The method comprises: constructing a visible light positioning system; defining a world coordinate system, a PSD coordinate system and a PSD imaging coordinate system; calibrating two PSD internal parameters in the visible light positioning system by using a Zhang Zhengyou calibration method and an asymmetric dot calibration plate; the world coordinates of the LED light source and the external parameters of the PSD are calibrated; and determining the real-time coordinates of the mobile carrier in the world coordinate system. The method has the advantages that the double PSD receivers and the single light source base station are used for positioning the mobile carrier, positioning coordinate calculation can be carried out as long as the mobile carrier loaded with the double PSD receivers is located in the coverage area of one light source base station, operation is safe, easy and convenient, the degree of dependence on the light source density is reduced, and the applicability of the visible light positioning technology is enhanced.

The invention discloses an indoor visible light cooperative positioning method based on multi-dimensional sampling vector compressed sensing, and relates to visible light positioning. A plurality of indoor light source LEDs are utilized to issue visible light signals to a target, a target end receives and extracts arrival time difference information among different LEDs through a PD, and a sparse positioning model is constructed. A plurality of groups of reference anchor points are introduced, time difference of arrival measurement vectors are collected from different dimensions, and a multi-dimensional sampling observation matrix with higher representation capability on sparse distribution of a target space is constructed. Redundant or repeated time difference of arrival measurement is eliminated in the model, calculation redundancy is reduced, and robustness of sparse recovery is enhanced. And solving a predicted value of the PD position coordinate through norm minimization, and calculating an error between the predicted value and a true value. Under the condition that accurate clock synchronization is not needed, multi-target cooperative positioning is effectively achieved, and centimeter-level positioning accuracy can be kept under various noise and deviation conditions. The method is suitable for typical indoor positioning scenes such as industrial Internet of Things, intelligent manufacturing and robot navigation.

The invention relates to the technical field of visible light positioning, and provides an end-to-end indoor visible light positioning method and system based on pilot frequency sequence characteristics, and the method comprises the following steps: transmitting a visible light signal through an orthogonal frequency division multiplexing and orthogonal amplitude modulation mode, and extracting a pilot frequency sequence; extracting local spatial features of the pilot signals and converting the local spatial features into sequence embedding features; time sequence modeling is carried out on the embedded features, and key features are extracted; performing full connection and nonlinear mapping on the key features, and retaining original features through residual connection; and a Kolmogorov-Arnold network is utilized to carry out positioning. Aiming at the problems of channel estimation dependence, high calculation complexity, high data demand, low signal-to-noise ratio, poor adaptability and the like in the existing indoor visible light positioning system, the real-time performance, the robustness and the calculation efficiency of the system are improved based on end-to-end deep learning indoor positioning of the pilot signal fusion LumiLocNet network.

The invention provides a positioning method and system based on a visible light communication technology, and particularly relates to the technical field of indoor visible light positioning. According to the method, a plurality of visible light emitters emit modulated light signals, the modulated light signals are received by a prismatic table phased array receiving terminal, the terminal is provided with a plurality of receiving surfaces, and each receiving surface comprises a plurality of light detection units. And multi-stage differential noise reduction processing is carried out on the electric signals output by the light detection units of the receiving surfaces, the multi-stage differential noise reduction processing comprises first-stage differential suppression of local noise in the receiving surfaces and second-stage differential suppression of reflected light interference between the receiving surfaces, and a light intensity response value is obtained. The distance between the terminal and each transmitter is calculated through filtering processing and a distance calculation model based on a light intensity response value, and then the position of the terminal is determined by using a multilateral positioning algorithm, so that centimeter-level precision positioning in an electromagnetic sensitive environment is realized, and electromagnetic interference and explosion-proof risks are avoided.

The invention discloses an indoor visible light positioning method and device based on environment dynamic adjustment, equipment and a storage medium, and relates to the technical field of optical information. According to the method, a preset reflection light model is established, parameters of the preset reflection light model are dynamically adjusted based on indoor environment changes, a propagation path of an optical signal in an indoor optical information environment is simulated according to the preset reflection light model, and the multipath effect and signal intensity distribution are evaluated. And a signal processing strategy is specifically designed at the rear end according to the condition of reflected light, for example, a filter model is designed to remove interference of a specific frequency, and the like, so that the reliability and accuracy of positioning are improved.

The invention relates to the technical field of indoor visible light positioning, in particular to a virtual light source positioning method based on indoor reflecting surface reconstruction. Comprising the following steps: establishing an indoor coordinate system, and collecting received signal strength and arrival time from a direct incidence path and a reflection path; judging a line-of-sight path and a non-line-of-sight path based on the RSS and the TOA, and preliminarily estimating a propagation distance; estimating plane equation parameters of the indoor main reflecting surface by using a constrained least square method; according to the estimated reflecting surface, performing mirroring operation on the position of the real light source, and reconstructing the position of a virtual light source; constructing a joint distance optimization model containing a real light source and a virtual light source, and solving an optimal coordinate of a receiving end by a weighted least square method; a self-adaptive dynamic updating mechanism is introduced, and joint state estimation and optimization are carried out on the position of the receiving end and the parameters of the reflecting surface; according to the method, the reflection path is converted into effective positioning constraint, the shielding problem in the NLOS environment is effectively solved, and the precision and robustness of a positioning system are remarkably improved.

The invention discloses an indoor visible light pedestrian positioning method based on improved unscented Kalman filtering, and belongs to the technical field of visible light communication positioning. The method comprises the following specific steps: initializing a loop count value, positioning an initial coordinate and setting an initial covariance; collecting inertial navigation motion parameters and resolving visible light positioning position coordinates; dynamically adjusting a non-line-of-sight threshold according to received signal strength data within a period of time so as to judge whether visible light positioning data is adopted or a visible light and inertial navigation fusion algorithm is adopted; setting an improved extended Kalman filtering parameter, and introducing a self-adaptive Huber threshold value into a fusion filtering algorithm, so as to obtain a filtered carrier position; further obtaining a fusion positioning position coordinate at the moment k; judging whether the cycle count value reaches the maximum value or not to determine whether the positioning method is completed or not; according to the method, the problem of precision reduction caused by fusion under the sight distance is effectively solved, the positioning precision under the NLOS is remarkably improved, and good stability and reliability are achieved.

The present invention discloses a method for finding extreme values ​​of correlation values ​​in a visible light communication and positioning system based on CDMA. Based on CDMA technology, in an indoor visible light communication and positioning system, the method assigns a highly correlated optical address code to the reserved undefined portion of the VLC frame to be transmitted by each LED light. At the receiving end, the local address code is used to continuously perform correlation operations on the received signal using a sliding window method to obtain a number of correlation values. The extreme values ​​and extreme value points of the correlation values ​​are then used for synchronous detection to determine the position of the address code in the VLC frame, and these extreme values ​​are used for positioning. The present invention can be used to separate positioning and communication signals in a combined visible light positioning and communication system, achieving simultaneous communication and positioning, and performing synchronous detection on signals with asynchronous arrival times.

The invention discloses an indoor combined positioning method utilizing environment perception, and particularly relates to the technical field of indoor positioning, which comprises the steps of S1, theoretical analysis, S2, algorithm design and S3, algorithm verification. By constructing an adaptive federated filtering architecture, the fusion of binocular vision, visible light positioning and an inertial navigation system is realized, a strapdown inertial navigation system is taken as a main reference system, visible light and a binocular camera are combined to serve as auxiliary reference systems, a sub-filter based on a maximum correlation entropy criterion is designed, and the visual positioning precision is improved. According to the method, the weight of each sub-filter is dynamically adjusted by introducing a self-adaptive information distribution mechanism, simulation and experimental verification show that the accuracy and robustness of indoor positioning can be effectively improved, compatibility of various sensors is supported, and the method is suitable for indoor high-precision navigation application of service robots, AR / VR equipment and the like.

The invention belongs to the technical field of solid waste recycling and intelligent sorting equipment, and discloses a waste plastic high-speed sorting method based on multispectral fusion and element screening, which is suitable for online separation of general-purpose plastics such as PP (polypropylene), PE (polyethylene), PVC (polyvinyl chloride) and PET (polyethylene terephthalate). Aiming at the problems of difficulty in black plastic identification, insufficient PVC / halogen-containing risk discrimination and wrong sorting caused by industrial drift in traditional near-infrared sorting, a link of visible light positioning, near-infrared main identification, intermediate infrared / medium-wave infrared reinspection, X-ray fluorescence element discrimination, multi-modal fusion decision-gas injection separation is adopted, grading detection is triggered through confidence, and the sorting accuracy is improved. A risk priority rule and an online self-calibration compensation strategy are combined, and a two-stage sorting framework is matched. According to the method, high-risk PVC particles are preferentially removed, black plastic is accurately recognized, the separation purity is improved while high productivity is guaranteed, the industrial operation stability and expandability are enhanced, and the waste plastic recycling benefit is remarkably improved.

The invention relates to the technical field of indoor visible light positioning, in particular to an RSS fingerprint reconstruction method applied to visible light positioning, which comprises the following steps: constructing a visible light RSS data acquisition method for eliminating the influence of natural light, and eliminating the influence of the natural light by using a real-time RSS difference value of a high level and a low level; the method comprises the following steps: constructing a visible light RSS fingerprint reconstruction method without coefficient calibration, and reconstructing an RSS vector of each interpolation position by using an RSS matrix of a training position; and combining the RSS matrix of the training position and the RSS matrix of the interpolation position to form a dense visible light RSS database, and completing reconstruction and updating of the visible light RSS fingerprint. According to the technology, the labor cost and the time cost for constructing the RSS database are greatly reduced on the premise that the positioning precision similar to that of an actual dense RSS database is obtained. The RSS fingerprint reconstruction method provided by the invention does not need coefficient calibration, is not influenced by natural light, and can be well applied to RSS fingerprint reconstruction of visible light positioning.

The application provides a CSI-based adaptive iterative visible light positioning method and system, and the method comprises the following steps: receiving positioning light signals sent by a plurality of LED light sources, and processing each positioning light signal to obtain a channel impulse response vector; estimating a line-of-sight path distance between each LED light source and a receiver according to the channel impulse response vector, and obtaining a first horizontal distance between each LED light source and the receiver according to each line-of-sight path distance; constructing an initial position set by using a cyclic least square method according to the first horizontal distance between each LED light source and the receiver, and obtaining a final estimated position of the receiver according to the initial position set and a preset position weight threshold. The application can fully utilize positioning information, effectively reduce the influence of nonlinear error in the least square positioning application based on CSI, improve positioning accuracy and stability, support complex indoor positioning scenes, and has high application value.

The invention discloses a software platform system suitable for visible light positioning communication, which is applied to a server, is realized by adopting a B / S (Browser / Server) architecture, and comprises a front-end module and a rear-end module, the rear-end module is constructed by adopting a SpringBoot framework, and data interaction transmission is performed between the rear-end module and a lamp by adopting a TCP / IP (Transmission Control Protocol / Internet Protocol) communication protocol; the rear-end module is used for receiving lamp data, and the lamp data contains personnel attribute information received by the lamp from the user side; the rear-end module is used for analyzing and processing the lamp data, transmitting an analysis and processing result to the front-end module, and performing data storage and data read-write processing; wherein the lamp adopts a visible light communication technology to communicate with the rear-end module and the user side; and the front-end module uses a preset front-end framework to build a page and is used for displaying the analysis processing result on a pre-stored place three-dimensional stereogram so as to realize different display functions. According to the invention, stable, efficient and accurate data transmission can be realized, personnel positioning can be realized, and operation and management are facilitated.

The present invention provides a binocular positioning method with unconstrained arrangement of light sources, which belongs to the field of computer vision positioning. It is a visible light positioning method that uses an unscented Kalman filter to fuse data from an inertial sensor and data from a binocular camera. The present invention first establishes a process equation in the framework of an unscented Kalman filter algorithm to predict the position and attitude angle of a target object in three-dimensional space, and then establishes a measurement equation based on the pixel image of the binocular camera to correct the position and heading angle of the visible light feature points of the target object calculated in the process equation. The position and attitude angle of the visible light feature points of the target object calculated by the present invention can maintain high accuracy even when the data accuracy of the six-axis inertial sensor is low and the position recognition noise of the visible light feature points in the pixel image is large; it has wide applicability and strong stability.

This application discloses a visible light positioning and communication method, apparatus, and system, belonging to the field of visible light positioning and communication. It involves driving an LED lamp to emit a light signal with a preset modulation frequency. A receiving sensor receives the spectrum, extracts the chip's native blue light spectrum, and then decodes the spectral information carried by the spectrum based on the hardware parameters of the receiving sensor to obtain digital information. Positioning and communication are then performed based on this digital information. This application's solution completely eliminates physiological flicker perceptible to the human eye by employing high-frequency modulation at a preset frequency. Simultaneously, receiving only the native blue light spectrum effectively removes the afterglow effect of phosphors, ensuring clear high-frequency signals and significantly improving decoding success rate. Adaptive decoding, combined with the receiving sensor's hardware parameters, solves the frequency offset problem caused by hardware differences between different devices, enhancing cross-device compatibility. This achieves high-precision, high-reliability visible light positioning and communication, applicable to indoor navigation, communication, and other scenarios.

The invention provides a positioning method based on visible light, which realizes a communication and positioning integrated system by sending a positioning signal by using a subcarrier in orthogonal frequency division multiplexing (OFDM). The system uses a visible light communication technology, and data transmission is carried out through visible light sources such as an LED. Meanwhile, the OFDM technology is utilized to divide the frequency spectrum into a plurality of subcarriers, and part of the subcarriers are selected for positioning. The specific subcarriers can provide high-precision position information during positioning. The method has the advantage that a more efficient and accurate communication and positioning integrated solution is provided for a user by combining visible light positioning and a high-spectrum-efficiency OFDM technology. The method not only improves the performance of a communication system, but also has a wide application prospect in the field of positioning.

The invention relates to a single-light-source visible light indoor positioning method based on inertial fusion, and belongs to the field of visible light communication. The method comprises the following steps: firstly, designing a transmitting end and receiving end architecture suitable for receiving based on an image sensor; secondly, obtaining information according to a light source projection fitting edge captured by an image sensor, calculating possible relative coordinates according to a space geometry theorem, and decoding bright and dark stripes to obtain a light source corresponding identification code and a light source coordinate position; then, using an Euler angle captured by an inertial sensor to eliminate an ambiguous solution, and calculating to obtain an absolute coordinate of a target; and finally, fusing inertial information by using an extended Kalman particle filtering algorithm to obtain a positioning result with robustness. According to the method, visible light positioning without user inclination angle limitation can be realized, inertial information fusion is realized on the basis of visible light positioning, the robustness of the system under a dynamic positioning condition can be effectively improved, and high-precision positioning is realized.

The invention provides a visible light positioning system and a preparation method of a silicon-based flexible photoelectric detector, and relates to the technical field of visible light positioning. The visible light positioning system comprises a fixing module with a curved surface structure, at least two silicon-based flexible photoelectric detectors, a data processing module and a positioning analysis module, the silicon-based flexible photoelectric detector comprises a front grid electrode layer, a hole transport layer, a passivation layer, an N-type monocrystalline silicon layer and a back metal electrode layer which are sequentially stacked from top to bottom, the two faces of the N-type monocrystalline silicon layer are each of a pyramid structure, and the hole transport layer, the passivation layer and the back metal electrode layer are all conformally arranged with the N-type monocrystalline silicon layer. The silicon-based flexible photoelectric detector has the characteristics of flexible self-supporting and self-power supply and has excellent photoelectric detection capability, the structure of the visible light positioning system is simple, the size and the cost are reduced, and accurate positioning of the light source to be detected is realized.

The application provides a visible light positioning system and a preparation method of a silicon-based flexible photoelectric detector, and relates to the technical field of visible light positioning. The visible light positioning system comprises a fixed module with a curved surface structure, at least two silicon-based flexible photoelectric detectors, a data processing module and a positioning analysis module. The silicon-based flexible photoelectric detector comprises, from top to bottom, a front grid electrode layer, a hole transport layer, a passivation layer, an N-type monocrystalline silicon layer and a back metal electrode layer arranged in a stacked manner. The N-type monocrystalline silicon layer has a pyramid structure on both sides, and the hole transport layer, the passivation layer and the back metal electrode layer are conformally arranged with the N-type monocrystalline silicon layer. The silicon-based flexible photoelectric detector has the characteristics of flexibility, self-supporting and self-power supply, and has excellent photoelectric detection capability. The visible light positioning system has a simple structure, reduces the volume and cost, and realizes accurate positioning of the measured light source.

The application discloses a visible light positioning method for a fast-moving carrier, which is used for positioning of the fast-moving carrier with a photodiode as a signal receiver and comprises the following steps: calculating angular velocity and velocity in a Fourier time window according to state variables and inertial navigation data; calculating a position vector and a normal vector according to the state variables, the inertial navigation data and LED lamp positions; calculating a correction number of a received signal strength according to the angular velocity, the velocity, the position vector and the normal vector and in combination with a received signal strength obtained by a discrete Fourier transform; and optimizing the state variables according to the corrected received signal strength and the inertial navigation data, and outputting the position, the velocity and the attitude of the photodiode at a current time according to the optimized state variables. The application integrates the inertial navigation observation data and the state data in the window time of the discrete Fourier transform, restores the average RSS into the instantaneous RSS, and improves the navigation and positioning capability of the fast-moving carrier.

The present invention provides a single-transmit and single-receive three-dimensional visible light positioning method based on rotation, comprising: step 1, positioning scene parameterization step; using x min with x max Indicates the minimum and maximum coordinates that the UE can reach in the horizontal direction in the scene, y min with y max Indicates the minimum and maximum coordinates that the UE can reach in the vertical direction in the scene, z min With z max Indicates the minimum and maximum coordinates that the UE can reach in the height direction in the scene; Step 2, the rotation positioning step; the positioning process is performed using the channel response obtained in different postures during the rotation process; Step 3, the step of solving the non-convexity problem; the particle swarm optimization algorithm is introduced to solve the positioning error problem caused by the non-convexity of the positioning process in Step 2, and the final positioning result is obtained. The beneficial effects of the present invention are: 1. The method of the present invention can be used in ISAC indoor positioning scenarios; 2. The method of the present invention allows a UE equipped with a single PD to rotate multiple times to complete the positioning process under a single light condition.

The present invention discloses an optical flow-camera calibration fusion visible light positioning method, which includes building a visible light positioning system indoors and using a camera to obtain image information containing white light LEDs at different times. n , for image information l n Preprocessing is performed to obtain the two-dimensional coordinates of the white light LED in the pixel plane, and the camera calibration and positioning algorithm is used to calculate the camera's pose in the world coordinate system. It is determined whether the camera calibration and positioning algorithm can obtain an analytical solution. If so, the optical flow algorithm is used to calculate the camera's pose, and the poses calculated by the camera calibration and positioning algorithm and the optical flow algorithm are accumulated. Then, the Kalman filter is used to perform data fusion to update the camera's pose information and complete the positioning of the visible light. If not, the optical flow algorithm is used to estimate the camera's pose, and the Kalman filter fusion is performed in combination with the camera's current position, moving speed and direction to update the camera's pose information and complete the positioning of the visible light.

The invention discloses an MLP-based visible light positioning fingerprint database capacity expansion method and system, and belongs to the technical field of indoor positioning. The method comprises the following steps: sparsely collecting coordinates of a plurality of reference points and received signal strength values from a plurality of LED light sources in a two-dimensional positioning area to form an initial sparse fingerprint data set; constructing a learnable mapping model which takes the coordinates as input and takes the signal intensity feature vector as output; training the model by using the data set, so that the model learns a nonlinear mapping relation from coordinates to signal intensity; inputting coordinates of points to be interpolated in the region into the trained model, and predicting signal intensity feature vectors of the points to be interpolated; and finally, the initial data and the prediction data are merged, and a visible light positioning fingerprint database with higher grid density is generated. According to the method, the high-density fingerprint database is reconstructed from the sparse data by using the machine learning model, so that the workload and cost of fingerprint acquisition are remarkably reduced, and meanwhile, high positioning precision is kept.

A visible light positioning (VLP)-assisted multi-user optical communication system includes a micro base station and a user receiver; the micro base station includes a mounting plate, a visible light locator is provided at a middle of a bottom surface of the mounting plate, the bottom surface of the mounting plate is provided with a plurality of automatic tracking optical communication devices surrounding around the visible light locator; the visible light locator is connected to the plurality of automatic tracking optical communication devices through a serial bus; a micro base station ID and a current working status data of the automatic tracking optical communication devices are cyclically broadcast to a coverage area through the visible light locator; a user location coordinate and a user identification are sent to the visible light locator by the user receiver.

The present invention provides a positioning method, as well as a positioning system and electronic device for implementing the positioning method. The method includes: if a light source image with visible light communication data is captured, identifying an identifier of a corresponding intelligent lighting device and identifying the shape of the light source from the visible light communication data; receiving digital map data from a server; calculating a device heading angle of the electronic device based on azimuth data, magnetic azimuth data, and digital map data; calculating a step frequency of a user holding the electronic device based on acceleration data; calculating and updating a visible light positioning position based on the identifier, digital map data, and light source shape; correcting the device heading angle based on the identifier, digital map data, light source image, and device heading angle; calculating the user's step length based on the step frequency and visible light positioning position; and calculating and updating the user's current coordinates based on the visible light positioning position, the corrected device heading angle, step frequency, and step length.

The utility model discloses a novel acousto-optic modulator using visible light for positioning, which comprises a mounting bottom plate, a mounting hole is arranged at the bottom end of the mounting bottom plate, and a first slide rail is arranged in the mounting bottom plate; the novel acousto-optic modulator using visible light for positioning is provided with a first damper and a first spring, a heat dissipation box is pushed through external force, a protection box and fixing frames can be driven to move, and therefore the acousto-optic modulator module can be rapidly disassembled, and on the contrary, through the clamping structure of the two fixing frames, the heat dissipation box is conveniently disassembled. The acousto-optic modulator module can be clamped and fixed, the fixing frame can automatically restore to the original position after losing acting force through the arrangement of the first damper and the first spring, the acousto-optic modulator module is clamped and fixed, and therefore the acousto-optic modulator module can be rapidly disassembled and assembled; and subsequent inconvenience in disassembly and assembly due to the fact that most of the acousto-optic modulators are directly fixed through threaded bolts is avoided.