1080 results about "Led array" patented technology

The invention discloses an LED street lamp multi-scene intelligent regulation and control method and system for road illumination. The method comprises the steps that environment sensing parameters and equipment state parameters are collected; constructing a dynamic light scattering model according to the environment perception parameters and the equipment state parameters, predicting effective illumination distribution from the LED light source to the road surface in the current environment, and generating an LED spectrum compensation strategy; the real value of effective illumination distribution from the LED light source to the road surface is monitored in real time, the deviation between the real value and a predicted value is analyzed, and if the deviation exceeds a preset threshold value, the light attenuation coefficient, the road surface equivalent reflectivity and the LED working temperature are calculated in a reverse iteration mode according to the deviation so as to update the LED spectrum compensation strategy; and generating a PWM (Pulse Width Modulation) driving signal according to the updated LED spectrum compensation strategy, controlling the duty ratio of each sub light source in the LED array, and dynamically adjusting the LED spectrum distribution. According to the method, the LED operation parameters are dynamically regulated and controlled through the deviation between the true value and the predicted value of the effective illumination distribution, the light attenuation is compensated in real time, the spectral efficiency is optimized, and the LED power consumption is reduced on the premise of ensuring the illumination quality.

The invention relates to the technical field of intelligent spectrum tuning, in particular to an intelligent spectrum tuning code scanning auxiliary lighting method, system and device and a medium. The method comprises the following steps: firstly, monitoring environment illumination intensity, color temperature and a light incident angle in real time through an illumination sensor, and meanwhile, detecting a spatial position relationship between a two-dimensional code and equipment by utilizing a distance sensor; the system performs intelligent analysis according to the real-time parameters, determines an optimal light supplementing strategy, and controls the RGBW LED array to output a corresponding spectrum combination; the system continuously monitors the scanning effect after light supplementation, and dynamically adjusts light supplementation parameters by evaluating the definition and contrast of the two-dimensional code until the optimal scanning state is reached; the environment illumination parameters and the spatial position parameters are combined for comprehensive analysis, and the RGBW LED array is adopted to realize adjustable spectrum output, so that the influence of the outdoor complex illumination environment on two-dimensional code scanning can be effectively overcome, and the payment efficiency is remarkably improved.

The invention discloses a dimming method of a multifunctional mining lamp and related equipment. The method comprises the following steps: obtaining original illumination data and generating a panoramic illumination distribution diagram by sequentially lightening and controlling LEDs; performing polar coordinate system conversion and partition extraction on the illumination distribution diagram to obtain light spot deformation characteristics and brightness fluctuation characteristics, and calculating illumination transition continuity parameters; calculating an LED influence degree weight value according to a time sequence change rule of the feature data, and performing partition clustering; calculating a compensation parameter based on the initial parameter of the LED in each partition and generating a compensation sequence; and carrying out grading adjustment and dynamic correction on the LED according to the compensation sequence. According to the technical scheme, the mapping relation between the magnetic field interference and the LED luminous intensity fluctuation is established by analyzing the light spot distribution characteristics of the working plane, the spatial distribution characteristics of the annular LED array are combined, the partition dynamic compensation strategy is adopted, the problem of uneven illumination of the LED mining lamp in the high-intensity magnetic field environment is effectively solved, and the working efficiency is improved. And the lighting effect and the monitoring quality of an industrial site are improved.

The invention relates to an LED light source brightness homogenization control method, device and equipment. The method comprises the following steps: acquiring driving current, PWM duty ratio and light intensity signals of each LED unit in an LED array, and establishing an LED characteristic data set; carrying out working state feature extraction to obtain LED working state data, and inputting the LED working state data into an LED brightness prediction model to carry out light intensity value prediction to obtain a predicted light intensity value; performing spectral analysis and resampling calculation on the predicted light intensity value and the actually measured light intensity value to obtain a state judgment result of the LED unit; dividing the LED array into a plurality of driving groups, and performing current sharing control on each driving group through energy adjustment of an energy storage capacitor to obtain an LED driving current parameter; and performing compensation region division on the LED array to obtain a plurality of compensation regions, and performing calculation through a BSA algorithm to obtain a brightness homogenization compensation parameter of each compensation region. According to the invention, the overall display quality and operation reliability of the LED array are improved.

The invention relates to the technical field of LED array driving, and discloses a small-spacing LED array driving waveform optimization method and device. The method comprises the following steps: carrying out spectral characteristic acquisition on pixel points in a small-spacing LED array, and constructing a pixel point luminescence characteristic mathematical model; performing parameter operation on the pixel point luminescence characteristic mathematical model to obtain array display parameters, and constructing a display quality evaluation function according to the array display parameters; performing waveform compensation on the original PWM driving signal to generate a complementary driving waveform pair, executing an orthogonal test based on the complementary driving waveform pair, and establishing a characteristic incidence matrix of driving parameters and display effects; the optimal driving parameter combination is calculated according to the characteristic incidence matrix and the display quality evaluation function, the LED array driving signal is generated according to the optimal driving parameter combination, high-precision control over the driving waveform is achieved, and the stability and reliability of the driving signal are guaranteed.

The invention relates to the technical field of intelligent night vision light source construction, and discloses an RGB intelligent night vision light source construction method and system, and the method comprises the steps: collecting the environment light intensity and other data of a light source construction region, obtaining environment perception data, constructing an environment feature tensor, and obtaining an initial control parameter through a dual-delay network; inquiring an LED array, configuring spatial light and pulse width, and obtaining a tunable composite spectrum by using initial parameter driving; a light reflection target is inquired, spectrum irradiation is used, data are collected, and an illumination-imaging joint optimization model is constructed through processing to obtain target data; target features are identified by using target data, a scene semantic vector and a light source control strategy are constructed, unit parameters are optimized through matrix calculation and decomposition, equipment is deployed to obtain a target LED array, and the RGB intelligent night vision light source is constructed. According to the invention, the accuracy of night vision imaging of the RGB intelligent night vision light source can be improved.

The invention provides a cylindrical battery pole piece coating uniformity detection method based on machine vision, and relates to the technical field of machine vision, and the method comprises the steps: obtaining a multi-angle image, and carrying out the cylindrical surface expansion; carrying out polar coordinate gradient continuity analysis on the annular expanded image, extracting continuity characteristics of a seam, and adaptively adjusting light emitting parameters of the LED array to obtain an optimized image; coating edge contours, surface texture directivity and density distribution characteristics are extracted in a polar coordinate domain and a Cartesian coordinate domain, and a coating uniformity evaluation standard is established; and constructing a hierarchical feature fusion network comprising a polar coordinate attention module and a space attention module, carrying out adaptive weighted fusion on the annular features and the axial features, comparing a fusion result with theoretical coating uniformity distribution calculated based on coating process parameters, and outputting a detection result. According to the method, the accuracy and interpretability of coating uniformity detection of the cylindrical battery pole piece are improved, and a theoretical basis is provided for process optimization.

An aerial lighting system includes: two or more unmanned aerial vehicles (UAVs) each including a corresponding high-powered LED array arranged to illuminate an area beneath the UAVs when the UAVs are airborne; a base station configured to retain the UAVs when not airborne, wherein the base station includes a controller for controlling the UAVs; and a plurality of cables for transferring power and data, including: (i) a first cable detachably coupled between the base station and a first UAV, wherein the first UAV receives power from the base station and communicates with the controller via the first cable, and (ii) a second cable detachably coupled between the first UAV and a second UAV, wherein the second UAV receives power from the base station and communicates with the controller via the second cable.

The invention discloses a micro display module and a preparation method thereof, and relates to the technical field of display. The at least two stacked pixel layers are bonded on the same side of the driving substrate, and a flat interface is arranged between every two adjacent pixel layers; each pixel layer comprises a micro LED array and a passivation layer located between micro LEDs, and the micro LEDs are electrically connected with the driving substrate; wherein the surface of the side, away from the driving substrate, of the pixel layer farthest from the driving substrate comprises a plurality of grooves, and color conversion layers used for converting part of light emitted by the micro LEDs into red light are arranged in the grooves. According to the technical scheme provided by the invention, the production yield of the micro display module is improved, and the problems that the preparation difficulty of a red micro LED is large and the external quantum efficiency is low are solved.

The invention discloses a UHPC decorative plate pressing quality detection method based on vision, and relates to the field of material detection, and the method comprises the steps: carrying out the internal reference calibration of a multispectral camera through a Zhang Zhengyou calibration method, improving the angular point coordinate precision of a calibration plate, and generating a detection pixel coordinate; the detection pixel coordinates of the ultraviolet band and the near-infrared band are aligned to the detection pixel coordinates of the visible light band through affine transformation, and the internal reference calibration comprises the step of detecting the angular point coordinates of a calibration plate; the illumination uniformity is judged, and the inclination angle and the exposure time of the LED array are adjusted; collecting a multispectral image, wherein the multispectral image comprises a visible light image, a near-infrared image and an ultraviolet image; calculating normalized reflectivity according to the detection pixel coordinates, screening out candidate defect areas, and generating a fused multispectral image based on the normalized reflectivity; through the calculation of the affine transformation matrix, the problem of large cross-band geometric deviation of the multispectral image is solved.

A high-power narrow-pulse-width dual-wavelength laser based on LED pumping comprises a Porro prism, at least two groups of LED pumping modules, a passive Q-switch and an output mirror which are sequentially connected in series. And the Porro prism is used for adjusting and coupling an optical path so as to ensure that an incident light beam enters the system at a proper angle and direction. The main function of the LED array as a pumping source in the laser is to provide excitation energy and excite electrons in the gain medium to transition from a low energy state to a high energy state so as to generate stimulated radiation. When light emitted by the LED irradiates the gain medium, the medium absorbs light energy and enters an excited state, and then laser output is achieved in the resonant cavity through stimulated emission. The inner cavity seed light injection technology combines the advantages of high flexibility, high stability and easy regulation and control, greatly enhances the performance and application range of the dual-wavelength laser, and is particularly prominent in the fields of precision optical application, nonlinear optics and the like.

The invention relates to the technical field of MicroLED array laser repair, and discloses a positioning method for rapid laser repair of a MicroLED array. Comprising the following steps: 1) constructing a coordinate reference system in an equipment imaging view field, setting coordinate axes according to horizontal and vertical directions by taking a fixed angle and a boundary of an array as reference original points, and adjusting the unit length and the coverage range of the coordinate system for Micro LED arrays with different sizes and specifications to ensure that the whole array area is covered; according to the positioning method for rapid laser repair of the Micro LED array, the actual physical position of a positioning system and the actual physical position of the Micro LED array can be better matched, positioning errors caused by an inaccurate coordinate system are reduced, the result of each time of positioning can be compared and corrected by positioning a defect area for multiple times, and the positioning accuracy is improved. Error accumulation possibly generated by single-time positioning is effectively reduced, especially when a complex Micro LED array is processed, multiple times of positioning can continuously optimize the positioning result, and the finally determined defect position is more accurate.

An LED print drive method is applied to an LED array. The LED array includes a plurality of LED partitions, each LED partition includes one or more LED lights, and the plurality of LED partitions are distributed in a staggered manner based on a specified sequence. A print control unit generates a plurality of groups of data signals, and a drive control unit receives the plurality of groups of data signals from the print control unit. The drive control unit converts the plurality of groups of data signals into a plurality of groups of LED drive signals, and the drive control unit drives, in a time-sharing manner with the plurality of groups of LED drive signals, a corresponding LED partition to emit light. Light-emitting time of each LED partition corresponds to distribution of each LED partition.

The invention discloses an intelligent identification system for puffed corn, and relates to the technical field of computer vision and image processing, and the system comprises an image collection module which integrates multispectral imaging and a near-infrared sensor and is used for obtaining surface morphology, internal structure and moisture content data of puffed corn; an environment light intensity sensor and an LED array are arranged in the self-adaptive optical compensation module, the wavelength and illumination intensity of a light source are adjusted in a closed-loop feedback mode, and color feature deviation caused by workshop environment light changes is compensated; the image processing module is used for deploying a lightweight hybrid neural network model and is used for adhesive particle segmentation and defect detection; the real-time sorting control module is used for driving a three-axis mechanical arm and a pneumatic spray valve according to an identification result so as to realize defective product rejection and grade subpackaging; and the digital twinning optimization platform is used for outputting a process adjustment suggestion to the production line PLC. According to the invention, through the holographic sensing network, the hybrid intelligent decision and the cross-domain cooperative control, the problems of inaccurate reading, unquick judgment and inaccurate control in puffed corn identification are solved.

A horticultural lighting device includes an LED array with multiple LED channels of different wavelengths, each having one or more LEDs. A voltage regulator supplies at least one LED channel with a constant voltage. A processor produces a PWM signal for a driving circuit coupled with the LED channels. In some cases the processor operates a tuning circuit to adjust the constant voltage thereby adjusting an intensity of the one or more LEDs of the one or more LED channels. A lighting system has multiple lamps, each with a zero cross detector that generates a timing signal based on an AC input signal. The PWM signal of each lamp has a frequency that is a multiple of the AC frequency. A method for lighting a facility includes generating a light recipe based on sensor data with an AI engine with one or more neural networks.

The invention discloses a dual-light registration and infrared camera calibration method, which comprises the following steps of: synchronously acquiring a visible light image and an infrared image, and acquiring multiple groups of dual-light image pairs under different distances within a preset object distance range; cross-modal feature key points are extracted, a matching corresponding relation is established, registration parameters under object distances are generated, and a dynamic compensation database is constructed; lead arrays are embedded in a plurality of horizontal edges and a plurality of vertical edges of a traditional checkerboard calibration plate, and leads are driven to generate uniform heat radiation; checkerboard corner coordinates are accurately extracted based on developed heating side lines in the infrared image, a real-time target detection model software deep learning model is utilized to construct a multi-scale feature fusion network, and combined geometric fitting is carried out on checkerboards in the bimodal image; and carrying out adaptive region segmentation on the fitted checkerboard, and reconstructing a black and white alternate state of the visible light checkerboard. The technical problem of registration failure in a complex environment can be solved, and the stability and repeatability of calibration are improved.

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 relates to the technical field of dust concentration detection, in particular to an online detection method and system based on limited space dust concentration, and the method comprises the following steps: based on each detection area, analyzing scattered light signals, classifying the scattered light signals into different particle size categories according to angles and coordinates, and performing signal compensation in combination with real-time humidity; adjusting the irradiation direction of the LED array to optimize illumination distribution, comparing light intensity differences, dynamically scheduling uniform illumination areas, subdividing detection points, analyzing layering signals, and obtaining particle size layering concentration data. According to the invention, distribution mapping with distinct particle size category difference is realized by using a spatial multi-dimensional layered structure, signal adaptability is improved by fusing a humidity dynamic response mechanism, particle size, humidity and illumination multi-source data are dynamically fused, local environment interference is eliminated through layering and compensation linkage, and the accuracy of the system is improved. The continuity of data expression and the response speed of concentration monitoring are improved, and continuous dynamic tracking of the dust state in a limited space complex environment is supported.

The invention discloses a display screen fault detection and repair method based on a Mini LED array, and the method comprises the steps: carrying out the real-time fault detection: carrying out the optical detection of each pixel of a Mini LED array display screen through a high-resolution multispectral sensor and a deep learning algorithm, obtaining the brightness, color temperature, color difference and spectrum information of the display screen in real time, carrying out the comprehensive fault monitoring of the display screen, and carrying out the real-time fault detection. Comprising defects of bright spots, dead points, uneven brightness and the like, and deep learning fault analysis: carrying out automatic processing on pixel data collected in real time by adopting deep learning algorithms such as a convolutional neural network (CNN) and the like. According to the display screen fault detection and repair method based on the Mini LED array, through adoption of a high-resolution multispectral sensor, sub-nanometer level detection can be realized, any tiny defect in the Mini LED array can be accurately captured, and the sensitivity and the accuracy of fault detection are remarkably improved. Through the assistance of the deep learning algorithm, the fault pixel type can be intelligently identified, the identification accuracy is improved, and false alarm and missing report are reduced.

The invention discloses an indoor light control method and system based on the Internet of Things, and relates to the technical field of intelligent lighting control, and the method comprises the steps: collecting indoor spectrum distribution data through a spectrum analyzer, constructing a spectrum feature fingerprint database through an edge calculation unit, and carrying out the matching and classification of spectrum feature fingerprints based on distributed calculation nodes; the spectral feature fingerprints are input into a preset optical physiological mapping model, a spectral compensation sequence is generated, and the spectral compensation sequence comprises target output proportions of spectrums with different wavelengths; and converting the spectrum compensation sequence into an indoor illumination control instruction, executing the indoor illumination control instruction through the RGBW multi-color LED array and the micro-lens array, and adjusting the illumination environment of each indoor area. According to the invention, accurate perception and intelligent regulation and control of a complex light environment are realized, and the intelligent level of indoor illumination and the user experience are improved.

A light-emitting diode (LED) control system includes a LED array composed of a plurality of LED channels each being composed of a plurality of LEDs; a plurality of LED drivers connected in sequence each being configured to drive a corresponding LED channel, the LED channels being controlled in sequence by the LED drivers; and a LED controller that sends brightness data to the LED drivers, which in turn control brightness of the LEDs. After brightness data input has been transferred to an associated LED driver, the brightness data input is then replaced with status data returned by the associated LED driver, and the replaced status data is finally read by the LED controller via other LED drivers.

The invention relates to the field of fan control, in particular to a fan wired integrated control system. The control panel is provided with a plurality of cooling fans, the independent control box is electrically connected with the control panel through a cable, the control box comprises a multi-path RD signal processing module, a dial switch array, a state indication module, a fault output interface, a programmable speed regulation module and the like, and the control box is further provided with an RS485 communication interface and the like. A physical switch of the dial switch array correspondingly controls the state monitoring function of the cooling fan, the double-color LED array indicates the running state of the fan, and a fault output interface is uploaded to an upper computer through an interface circuit when the fan breaks down. Effective control and state monitoring of the fan are achieved, the state of the fan can be adjusted according to actual requirements, the effects of electrical isolation, rapid fault response and the like are achieved, meanwhile, the communication rate is adjustable, and the system adapts to different application scenes.

The invention provides a production equipment state real-time analysis method and system based on edge calculation, and relates to the technical field of information, and the method comprises the steps: analyzing the dynamic change trend of a light beam central axis according to the offset trajectory of the light beam central axis, and determining the spatial distribution characteristics of the light beam axis through the dynamic change trend of the light beam central axis in combination with an LED array arrangement SIC mode; if the adjustment angle in the lens calibration instruction set exceeds a preset angle threshold, dynamically adjusting the position of the optical axis of the lens according to the offset amplitude and direction of the optical axis, compensating the offset of the light beam axis in real time, and obtaining a calibrated optical axis parameter; according to the color temperature distribution uniformity, determining a target lens position through a lens position adjustment attribute; according to the calibrated optical axis parameters and color temperature distribution uniformity, stable light beam center axis distribution is determined, spectrum consistency is determined, and a performance evaluation data set is obtained through comprehensive evaluation.

The invention discloses a three-magnification double-telecentric light path object detection system and method. A detection part is arranged between a light source module and an object space telecentric light path module; the light source module comprises a white light annular LED array light source set and an adjustable grating arranged on one side, and a light uniformizing piece is arranged in the white light annular LED array light source set. Light emitted by the array light source group is homogenized by the built-in light homogenizing sheet and then forms uniform light beams through the adjustable diaphragm, and the uniform light beams are projected to the surface of a detection part; a light path switching mechanism is arranged on one side of the object space telecentric light path module, and the object space telecentric light path module comprises a low-magnification object space light path, a medium-magnification object space light path and a high-magnification object space light path; the light path switching mechanism is used for switching any one of a low-magnification object space light path, a medium-magnification object space light path and a high-magnification object space light path to enable light rays to be projected to the beam splitter prism, ambient light is removed through the beam splitter prism, and the transmitted light rays are transmitted towards an image space telecentric light path to enable the light rays to be projected to the industrial camera for imaging.

The present invention relates to a Micro-LED micro-display device driving control method and device, comprising the following steps: dividing a target pixel area by a preset display image to obtain sub-pixel blocks; performing electroluminescence spectrum analysis on a target micro-display device based on the sub-pixel blocks to obtain a spectral radiation power distribution; performing chromaticity calculation on the target micro-display device based on the spectral radiation power distribution to obtain chromaticity coordinate data; performing pulse width modulation on the target micro-display device based on the chromaticity coordinate data to obtain a multi-level grayscale driving waveform; using a distributed control architecture to transmit the multi-level grayscale driving waveform to a corresponding target micro-display device to obtain a Micro-LED display image, thereby solving the technical problem of how to efficiently perform electroluminescence spectrum analysis since each pixel point in a Micro-LED array is an independent light source, and adjusting the luminous characteristics of each pixel point accordingly to ensure consistency of image quality.

The invention provides an LED instrument navigation information synchronization and display method and system based on Bluetooth interconnection and a medium, and belongs to the technical field of intelligent vehicle-mounted electronics. The method comprises the following steps: generating a structured navigation data set through a navigation application, establishing multi-channel connection based on a Bluetooth 5.0 protocol, and transmitting data by adopting a time division multiplexing mechanism; after the vehicle-mounted terminal receives the data, integrity verification is carried out, a vector graph is restored according to a geographic information frame, and display content is dynamically screened in combination with vehicle real-time state parameters; and fusing the navigation information and the road feature layer by using a hardware acceleration rendering engine to generate a signal for driving the LED array display device. According to the invention, through the technologies of dynamic traffic data access, adaptive frequency modulation, priority data scheduling and the like, efficient synchronization and accurate display of navigation information are realized, and the real-time performance, the reliability and the user experience of the vehicle-mounted navigation system are improved.

The invention discloses an indoor positioning method based on optical AOA and ultrasonic auxiliary wave distance measurement, a plurality of groups of acousto-optic combined positioning systems are deployed in each indoor direction, each positioning system comprises an ultrasonic transmitter, an ultrasonic receiver, an LED array, a detector array and a microcontroller, and each microcontroller is connected to a terminal; the LED array performs frequency modulation on the optical signals, the ultrasonic transmitter performs pulse modulation on the ultrasonic signals, and the detector array receives the optical signals from the LED array, records the arrival angle when the optical signals arrive and corrects the arrival angle; the ultrasonic receiver receives the ultrasonic signal, and the distance R between the target point location and the ultrasonic receiver is determined by measuring and calculating the time difference of signal propagation; and the position of the target point location in the three-dimensional space is determined according to the corrected arrival angle and the distance R, a self-adaptive dynamic weighting hybrid filtering algorithm is operated, the space coordinate point location of the target point location is obtained, and indoor positioning of the target point location is achieved.

The invention relates to the technical field of corrugated board detection, and particularly discloses a corrugated board stacking defect detection method and system based on machine vision, and the method comprises the steps: carrying out the time-sharing triggering of a side annular LED array light source and a top vertical diffusion light source of a stacking transmission line, and enabling an industrial CCD camera to synchronously obtain reflected light, transmission light and visible light channel images; fusing image features to generate a defect response map; eliminating corrugated texture interference through adaptive Gaussian filtering; dynamically adjusting high and low thresholds based on the maximum value proportion of the defect response map in combination with illumination; segmenting and merging candidate defect areas and calculating initial stacking defect indexes; and eliminating illumination artifacts in combination with the structural similarity index to finally obtain a real defect index. According to the method, the stacking defect detection accuracy is effectively improved, the missed and false alarm rate is reduced, the detection requirements of illumination fluctuation and bent edge washboard defects can be met, and the production quality control requirements of corrugated boards are met.

The invention discloses a smoke alarm device and an alarm control method, and particularly relates to the technical field of fire-fighting alarm devices.The device comprises a shell, and a multi-mode sensor module is arranged in the shell and used for collecting parameters in the environment in real time and generating detection signals; the data processing unit is electrically connected with the multi-mode sensor module through an I2C bus and is used for performing multi-dimensional analysis on the detection signal and generating an alarm decision instruction; the grading alarm module is used for receiving the alarm decision instruction through a GPIO (General Purpose Input / Output) interface; wherein the grading alarm module comprises a visible light warning assembly which comprises an RGBLED array and a laser projector and is used for generating a visual alarm and escape guidance; the sound wave generating device is used for transmitting a directional frequency-adjustable sound wave signal; the wireless communication module is electrically connected with the data processing unit; the invention aims to solve the problem that a smoke alarm device in the prior art can only play a role in warning and cannot effectively guide evacuation of users.

The invention provides a vehicle-to-vehicle OCC system target identification method based on an improved YOLOv8, and the method comprises the steps: firstly carrying out the preprocessing of original image data, and carrying out the improvement on the basis of the conventional YOLOv8; the original SPPF is replaced by CAIFI in a backbone network, and an EC2f module is introduced to extract feature information of an OCC system target; a BIFPN module is introduced and a weighting function of the BIFPN module is changed to carry out feature fusion and delete a feature network which contributes little to an OCC system target, so that the purposes of simplifying the network and combining information of high-level features and information of a bottom layer are achieved; a ShapeIoU function is adopted as a frame loss function, and the boundary of the LED array is positioned by considering the shape and the scale of the target LED array of the OCC system; according to the method, high recognition precision can be achieved, high-accuracy recognition can be carried out on the LED array, the moving LED can be well recognized, and people are helped to better decode the subsequent LED array and extract information, such as license plate information and fault information, contained in the LED array.