1926 results about "Green-light" patented technology

The invention discloses an intelligent signal lamp phase optimization method and system based on vehicle infrastructure cooperation. According to the invention, through the dynamic game model, the system can sense multi-dimensional states such as traffic flow and pedestrian waiting time in real time, dynamically adjust demand weights of vehicles, pedestrians and roadside facilities, flexibly allocate green light duration, i.e., multi-direction multi-passing time of vehicles and multi-pedestrian time period to preferentially guarantee the street crossing demand; the average waiting time of vehicles and pedestrians is effectively shortened, the overall traffic efficiency of the intersection is obviously improved, and the suitability of daily traffic operation is obviously improved. The dynamic game model rapidly recognizes special requirements through a state value function, dynamically improves the weight priority of emergency vehicles or pedestrians, guarantees the efficient passing of key scenes (such as the rapid passing of emergency vehicles), avoids the long-time overstock of vehicles in other directions, and improves the safety of emergency vehicles or pedestrians. And the response capability and coordination level of the system to complex and emergent scenes are obviously enhanced.

The invention discloses a carbon-coated foil coating uniformity detection method and system based on machine vision, and the method comprises the steps: S1, collecting blue light, green light, red light and near infrared spectrum images of the surface of a carbon-coated foil coating through a multi-angle camera, and generating a fused composite image through a multispectral image fusion algorithm; s2, performing adaptive histogram equalization and reflected light spot suppression processing on the fused composite image, and outputting an enhanced image; s3, coating edge features in the enhanced image are extracted, segmentation of a coating region is realized in combination with a region growing method, and a coating region mask is obtained; s4, extracting multi-scale texture features of the coating region by adopting a pre-trained ResNet-50 deep convolutional network, and constructing a coating surface feature vector; and S5, based on the extracted feature vectors and a standard template library, through a uniformity evaluation model, calculating a uniformity index of the coating, and detecting the uniformity of the coating. According to the invention, accurate detection of the coating uniformity can be realized.

The present disclosure provides a method for remote sensing blue-green wave band ratio logarithmic water depth retrieval of wavelet spline instantaneous tidal height correction, and belongs to the field of remote sensing water depth retrieval. Aiming at water depth retrieval precision reduced by blue-green light and a tidal height in a remote sensing water depth retrieval process, the model fully considers a linear correlation between an attenuation ratio of the blue-green light in water and a depth, the smoothness of the tidal height, and the characteristics of consistent convergence, first-order continuous derivation and second-order continuous derivation of the tidal height with time change, and constructs the method for remote sensing blue-green wave band ratio logarithmic water depth retrieval of wavelet spline instantaneous tidal height correction, and according to Molokai experiment verification, compared with an early model, the invention improves the remote sensing water depth retrieval precision.

The invention discloses an intelligent traffic light coordination control method and system for traffic flow optimization, and relates to the technical field of intelligent control. The method comprises the following steps: collecting traffic flow data of lanes in all directions in a target area in real time through heterogeneous sensor networks deployed at all intersections; identifying the traffic flow data to obtain tidal traffic flow features; performing dynamic intensity evaluation based on the tidal traffic flow characteristics to obtain a tidal direction intensity index; a multi-agent cooperative network is constructed, and a continuous intersection green light phase offset sequence is generated based on cooperative calculation of the multi-agent cooperative network; and when the tide direction intensity index is greater than a preset threshold value, inputting the continuous intersection green light phase offset sequence into a traffic signal lamp control system so as to start a tide green wave mode. The technical problems that in the prior art, traffic flow control is not flexible enough, and traffic lights cannot be intelligently adjusted according to the traffic flow condition are solved, and the technical effects of improving the road passing efficiency and reducing congestion are achieved.

The invention provides a light emitting diode with improved color purity and a preparation method thereof, and belongs to the technical field of photoelectron manufacturing. The light-emitting diode comprises a first semiconductor layer, a first light-emitting layer, a second light-emitting layer and a second semiconductor layer which are sequentially stacked, the first light-emitting layer is a green light-emitting layer, the second light-emitting layer is a blue light-emitting layer, and the ratio of the light-emitting intensity of the first light-emitting layer to the light-emitting intensity of the second light-emitting layer ranges from 2: 10 to 4.8: 10. According to the embodiment of the invention, the color gamut value of the light-emitting diode can be improved, the color purity of the light-emitting diode can be improved, and the light-emitting effect is improved.

The invention discloses a YOLOv5-assisted vision-laser integrated efficient bird repelling method and device, and the method comprises the steps: obtaining the video stream data of a monitoring region in real time, inputting the video data into a multi-modal target detection model, extracting a key frame containing a target bird through the pre-trained multi-modal target detection model, and carrying out the recognition of the key frame, wherein the multi-modal target detection model is constructed by a YOLOv5 network structure; performing species feature analysis on the key frame; acquiring position coordinates after accurately identifying bird types; generating a dynamic control instruction based on the positioning data; the laser bird repelling module is driven to emit green light with the wavelength of 532 nm to optically repel birds; the system is integrated with a closed-loop feedback mechanism, and the bird repelling effect is verified through secondary image acquisition. The method can be applied to key fields such as airports, orchards, photovoltaic power plants and wind power plants, can also be expanded to the fields of ecological monitoring and agriculture, and has a good application prospect.

The invention provides a traffic signal lamp intelligent control method based on a fiber bragg grating sensing network, and relates to the technical field of traffic signal lamps, and the method comprises the steps: obtaining the detection data of each fiber bragg grating sensing line, and enabling the fiber bragg grating sensing lines to be transversely laid at a selected traffic crossroad along a lane, three fiber bragg grating sensing lines parallel to the stop line are laid on each road; determining the length range of the motor vehicle queuing length of each lane according to the detection data of each fiber Bragg grating sensing line; and controlling the working state of the corresponding traffic signal lamp according to the length range of the motor vehicle queuing length of each lane. The actual traffic flow can be determined through the detection data of the fiber Bragg grating sensing lines, the green light time can be dynamically allocated based on the actual traffic flow, the vehicle queuing time is shortened, and the passing efficiency can be effectively improved.

The invention provides a regional ecological environment quality evaluation method and system based on remote sensing data, and relates to the technical field of environment remote sensing and ecological monitoring, and the method comprises the steps: extracting red light and near-infrared reflectivity at the peak of a growing season by using Landsat8 satellite data, and calculating a mixed vegetation index; synchronously measuring vegetation indexes of pure vegetation and bare soil on site to obtain a vegetation coverage rate, and obtaining water transparency, suspended solid concentration and chlorophyll a concentration through on-site measurement on the basis of green light, red light, blue light and near-infrared reflectivity in a heavy rainfall period and a dry season; the method comprises the following steps: constructing a linear regression model of reflectivity and water quality parameters through a least square method, calculating a water quality index, constructing an extreme weather influence factor based on ten-year extreme weather data, and finally fusing a vegetation coverage rate, water quality, the extreme weather influence factor, annual precipitation, annual average temperature, optimal regional vegetation temperature and historical rainfall extremum. And constructing an ecological quality index, and dividing ecological environment quality grades.

The invention relates to the technical field of image focus detection, in particular to a fiber endoscope image focus detection method and system, and the method comprises the following steps: providing a data quality guide interface; capturing narrow-band light images of the endoscope away from a first preset position and a second preset position of the intestinal wall in the axial movement process, calculating brightness gain values of a blue light channel and a green light channel, calculating an asymmetric scattering correction coefficient, and updating indication of color information calibration integrity; tracking the pixel moving speed of the interferent in the view in the propulsion operation process, calculating the relative depth of the interferent, and updating the indication of the validity of the depth data of the interference layer; identifying the image area which is not shielded by the interferent, and updating the indication of the information coverage degree of the background area; triggering an image synthesis operation; performing color compensation on the image information of the image area which is stored in the background canvas and is not shielded by the interferent; reconstructing a clear image; and performing focus detection on the clear image. The method improves the accuracy of focus detection.

The utility model discloses a three-color micro-projection optical system, the three-color micro-projection optical system is provided with an object side and an image side which are correspondingly arranged along an optical axis direction, the three-color micro-projection optical system comprises a diaphragm, a lens group and a color combination prism assembly which are sequentially arranged from the object side to the image side; the color combination prism assembly comprises a color combination prism, a red light-emitting chip, a green light-emitting chip and a blue light-emitting chip; the focal length of the three-color micro projection optical system is f, 5.9 mlt; flt; the thickness is 6.4 mm; the distance from the diaphragm to the image surface is the total optical length TTL and TTLlt of the three-color micro-projection optical system; and the thickness is 10.2 mm. By means of the arrangement, in the environment temperature range of 20-60 DEG C, the optical system does not defocus during working, the MTF full frequency is higher than 0.5, the total length of the optical system can be controlled within 10.2 mm, and the working performance is more stable.

Various structures for a hybrid pixel array are disclosed. The hybrid pixel array includes a combination of square photodiode (PD) pixel structures and split PD pixel structures. Square PD pixel structures include one photodiode per pixel unit while split PD pixel structures include two photodiodes per pixel unit. In certain instances, square PD pixel structures are used for green light pixels and split PD pixel structures are used for blue and red light pixels in the hybrid pixel array. The combination of square PD pixel structures and split PD pixel structures provides autofocus capability with higher signal strengths. Various techniques for row addressing and readout from the hybrid pixel array are also disclosed.

The invention relates to the technical field of semiconductor devices, in particular to a low-working-current-density green light Micro-LED epitaxial structure and a preparation method thereof. The epitaxial structure comprises a substrate, a buffer layer, an N-type semiconductor layer, a low-temperature stress release layer, a multi-quantum well light-emitting layer and a P-type semiconductor layer. The electron blocking layer is not arranged on the multi-quantum-well light-emitting layer, the multi-quantum-well light-emitting layer comprises four sub-layers including a first light blue light multi-quantum-well layer, a second blue light multi-quantum-well layer, a third green light multi-quantum-well layer and a fourth light blue light multi-quantum-well layer, and the In component content in the third green light multi-quantum-well layer is larger than that in other layers. The third cyan light multi-quantum well layer is a main light-emitting unit and is not provided with an electron blocking layer, so that the blocking effect on hole injection can be eliminated, the hole injection efficiency of the P-type semiconductor layer is remarkably improved, and the matching degree of electron hole concentration in a multi-quantum well light-emitting layer region is improved.

The invention relates to display equipment which comprises a liquid crystal display panel, a backlight module and a control circuit. A backlight partition of the backlight module comprises at least one light-emitting unit, the light-emitting unit comprises a first blue light-emitting chip, a green light-emitting chip and a red light-emitting module, and the red light-emitting module comprises a second blue light-emitting chip and a red phosphor located above the second blue light-emitting chip. The control circuit is configured to obtain image frame data, determine input gray-scale values of all color pixels in an image partition corresponding to the backlight partition, and generate all color backlight values of the partition; and driving the green and second blue light-emitting chips based on the green and red backlight values, and not lightening the first blue light-emitting chip or driving the first blue light-emitting chip to carry out blue light brightness compensation based on a comparison algorithm processing result of the blue and red backlight values, thereby improving the display color cast problem. And meanwhile, driving data are generated based on the input gray-scale values of the color pixels to drive the panel, so that the display effect of the display equipment is improved.

The invention provides a focusing method, device and equipment. The method comprises the following steps: determining pixel offset between a red channel image and a green channel image of a tissue slice; the red channel image and the green channel image are a red channel image and a green channel image of a tissue slice in a ghosting image captured by the color image sensor when a red light filter, a green light filter and double optical wedges in the focusing module are modulated at the same time; determining an out-of-focus distance according to the pixel offset and a preset corresponding relation; the preset corresponding relation is the corresponding relation between the pixel offset and the defocus distance; and focusing according to the out-of-focus distance. According to the method provided by the embodiment of the invention, the problem that positive and negative defocusing directions cannot be distinguished through a single-frame image in a phase shift detection automatic focusing technology based on image monochromatic double-hole modulation is solved, and the problem of time waste caused by high-speed switching of an illumination light source in an automatic focusing technology based on red-green double-LED illumination is solved; and meanwhile, the problem that a phase shift detection automatic focusing technology based on pupil segmentation images is relatively small in focusing range is solved.

The utility model relates to the technical field of lighting, and provides a light source module which comprises a first substrate and a plurality of light-emitting lamp beads, the first substrate is provided with a light-emitting face, and the light-emitting lamp beads are installed in the light-emitting face and distributed in a determinant mode. The light-emitting lamp beads comprise red light LED lamp beads, green light LED lamp beads, blue light LED lamp beads and white light LED lamp beads which are independently controlled; in every two adjacent rows of light-emitting lamp beads, two of the red light LED lamp beads, the green light LED lamp beads, the blue light LED lamp beads and the white light LED lamp beads are arranged in one row, and the other two of the red light LED lamp beads, the green light LED lamp beads, the blue light LED lamp beads and the white light LED lamp beads are arranged in the other row. The arrangement mode of the plurality of light-emitting lamp beads ensures that the light-emitting lamp beads of each color cannot be concentrated in a certain specific area, so that the color uniformity of the whole light-emitting surface is realized, more consistent and more uniform lighting effect is provided, and more natural and more uniform synthetic white light is generated.

The invention provides a signal lamp intersection traffic efficiency optimization control method based on a lane flow and lane number difference ratio, and relates to the field of intelligent traffic control, and the method comprises the steps: collecting the lane number, physical attribute and traffic flow data of a target intersection and a downstream intersection in real time through a roadside sensor, constructing a three-dimensional topology tensor, and calculating a topology entropy; when the dynamic congestion index exceeds a threshold value, a reverse congestion mechanism is triggered to shorten the green light time, and a false congestion signal is broadcasted to induce the vehicle to change the lane; calling a quantum optimization engine to traverse the three-dimensional parameter space, and obtaining a global optimal solution through a quantum tunneling effect; the green light time is redistributed to the orthogonal lane combination, and the system steady state is verified based on the topological entropy gradient; the innovativeness comprises coupling modeling of lane difference proportion and topological entropy, quantum parameter optimization and an active congestion induction mechanism; the problems of structural congestion pre-judgment and cross-intersection cooperative control are solved.

The utility model relates to the field of underground garage access safety, in particular to an underground garage access channel safety guidance system. The induction system comprises a controller, at least two displacement sensors and at least two indicator lights; the underground garage access channel is provided with a blind area road section which is provided with at least two entrances and exits. Each entrance is provided with a displacement sensor and an indicator lamp; the controller is connected with all the displacement sensors and all the indicating lamps and used for controlling the indicating lamps at all the entrances and exits to turn on green lights or flicker as green lights when the displacement sensor at only one entrance and exit detects that a moving target enters the blind area road section; and when the displacement sensors of at least two entrances and exits detect that the moving target enters the blind area road section, the indicator lamps of the at least two entrances and exits are controlled to be red or flicker with red lights. According to the utility model, the opposite lane condition of the blind area road section of the underground garage access passage can be well prompted, and drivers and pedestrians are induced to safely pass through the underground garage access passage.

The embodiment of the utility model discloses a backlight module and display equipment, and relates to the technical field of display. The backlight module comprises a light guide part and a lamp panel. The lamp panel comprises a circuit board, a white light-emitting unit, a red-green-blue light-emitting unit, a power line and a driving chip. The white light emitting unit includes a first blue light emitting chip and a photoluminescence portion. The red-green-blue light-emitting unit comprises a plurality of light-emitting chips, and the plurality of light-emitting chips comprise a red light-emitting chip, a green light-emitting chip and a second blue light-emitting chip. The first power supply wire is connected with the first blue light-emitting chip, the second blue light-emitting chip and the green light-emitting chip, and the second power supply wire is connected with the red light-emitting chip. In the width direction of the circuit board, the power line and the driving chip are arranged on the two sides of the light-emitting unit respectively. According to the embodiment of the invention, the light-emitting effect of the lamp panel can be improved, and the connection convenience of the light-emitting unit, the power supply wire and the driving chip is improved.

A quantum dot composite configured to emit green light or red light. The quantum dot composite including a polymer matrix, and a plurality of quantum dots dispersed in the polymer matrix, the plurality of quantum dots include a semiconductor nanocrystal core comprising indium and phosphorus. As determined by differential scanning calorimetry, the quantum dot composite exhibits an intensity of a peak between about 350° C. to about 450° C. that is about 8 times or more and about 13 times or less relative to an intensity of a peak between about 200° C. and about 300° C. in a thermogravimetric analysis graph.

The invention discloses an intelligent traffic signal control method and system based on Agent-ARIMA, and a program product. The intelligent traffic signal control method comprises the steps of calculating the shortest green light time of each intersection direction, distributing the green light time of each direction, distributing the green light time of left-turn and straight lanes, adjusting the traffic cycle, calculating the time weight offset of multiple intersections, and predicting the traffic flow in the future by using an ARIMA model. And inputting the prediction time of the ARIMA algorithm into the LLM-Agent agent for time prediction, and the like. The method is suitable for different city scales, time distribution of the traffic lights is dynamically adjusted through accurate prediction and analysis of the traffic flow, the traffic jam condition of a large city can be optimized, and the traffic efficiency of a small city can also be improved.

A light emitting device is provided. The light emitting device includes a blue light unit, configured to emit blue light; a green light unit, configured to emit green light; a red light unit, configured to emit red light; and a warm white light unit, configured to emit warm white light. A dominant wavelength of the warm white light is in a range from 570 nm to 600 nm. A color coordinate of the warm white light unit and a color coordinate of the red light unit are respectively located at opposite sides of the Planckian locus. The blue light unit, the green light unit, the red light unit and the warm white light unit are configured to cooperate to emit mixed white light and are configured to adjust a color temperature of the mixed white light.

A light emitting display device comprises a substrate, a first pixel electrode disposed on the substrate, a pixel defining film disposed on the first pixel electrode and having a first opening at least partially exposing the first pixel electrode, a first organic light emitting layer disposed on the pixel defining film and overlapping with the first opening of the pixel defining film, and a black matrix disposed on the first organic light emitting layer and having a first opening overlapping with the first organic light emitting layer. Light having passed through the first opening of the black matrix is one of red light, green light, and blue light. The first opening of the black matrix may have a shape with a curved portion.

The invention provides an intersection priority passing method, device and equipment for an emergency vehicle and a medium, and relates to the technical field of traffic signal control, and the method comprises the steps: generating a passing route of the emergency vehicle according to an emergency planning route of the emergency vehicle and the predicted passing time between every two adjacent intersections in the emergency planning route, the predicted passing time is obtained according to a current traffic state and a historical traffic state, and the passing route comprises information of a plurality of intersections through which the emergency vehicle sequentially passes; under the condition that the emergency vehicle drives into the upstream preset distance of each intersection in the passing route, the green light time of the emergency passing direction of the intersection is prolonged; according to the traffic signal when the emergency vehicle is predicted to arrive at the stop line of each intersection in the passing route, the corresponding green light extension strategy or the red light early cut-off strategy is adopted to adjust the timing parameter of the traffic signal when the emergency vehicle is predicted to arrive at the intersection, and the problem of priority passing of the emergency vehicle at the intersection can be solved.

The embodiment of the invention provides a traffic signal-based vehicle path planning method and related equipment, and belongs to the technical field of automatic driving. The method comprises the following steps: acquiring traffic light data of each intersection of a target driving path; according to the green light time interval of the traffic light data, time constraint calculation of multi-intersection continuous passing is carried out, and a time constraint of continuous green wave passing is obtained; performing speed calculation on each road section according to the time constraint to obtain a speed interval of each road section; performing quadratic programming on the speed interval by taking the energy consumption and the driving time as optimization objectives to obtain a global speed sequence; and performing multi-dimensional constraint and multi-target optimization on a speed controller of the vehicle according to the global speed sequence so as to control the vehicle to run on the target running path. According to the embodiment of the invention, the vehicle can be guided to realize continuous green light passing, and the driving efficiency and the driving comfort are improved while the driving energy consumption of the vehicle is reduced.

The invention discloses a high and cold slope disaster body segmentation method fusing optical and SAR images, and the method comprises the following steps: 1, carrying out the snow coverage normalization processing based on the visible light green light wave band and the short wave infrared wave band of an optical image, and generating an ice and snow mask through an expectation maximization algorithm and a Gaussian mixture model; 2, preprocessing the optical image and the SAR image; step 3, constructing a high and cold slope disaster body segmentation model based on a Transform network; 4, training the segmentation model by using Dice loss and cross entropy loss in a combined manner, and freezing parameters of an image encoder in the training process; and step 5, inputting the high and cold slope remote sensing image into the trained segmentation model, and outputting a segmentation result of the slope disaster body by the segmentation model. According to the method, the problems of large ice and snow interference and poor multi-source data collaboration in high and cold slope disaster body segmentation are solved, and the segmentation precision and the engineering applicability are improved.

The embodiment of the invention discloses an unmanned aerial vehicle image-based hexagonal grid unit soil salinity assessment method, which comprises the following steps: acquiring multispectral images of a cotton field to be assessed through an unmanned aerial vehicle, including a red light image, a green light image, a blue light image and a near-infrared image; dividing a plurality of to-be-evaluated regular hexagon evaluation units according to the to-be-evaluated cotton field multispectral image; training a cotton field soil salinity evaluation model; and performing soil salinity evaluation on each to-be-evaluated regular hexagonal evaluation unit by adopting the trained cotton field soil salinity evaluation model. Compared with the prior art, the invention provides a method for calculating and evaluating the soil salinity by using an unmanned aerial vehicle image and a regular hexagon evaluation unit, and more image features related to the soil salinity strength can be captured, such as the area ratio of crops in the unit, the physiological and ecological indexes of the crops in the unit and the salt spot condition around the unit. More features are more beneficial to accurate evaluation of soil salinity, irrigation can be optimized, and the cotton yield can be increased.

The present disclosure relates to the technical field of display chips. Disclosed are a full-color MicroLED and a manufacturing method therefor. The full-color MicroLED comprises a driving substrate, a first light-emitting layer, a first connecting layer, a second light-emitting layer, and a second connecting layer; the driving substrate comprises a first P-type semiconductor electrode transition layer; the first light-emitting layer comprises first light-emitting units and a second P-type semiconductor electrode transition layer; the first connecting layer comprises a first N-type semiconductor electrode transition layer, first N-electrode grids, and a third P-type semiconductor electrode transition layer; the second light-emitting layer comprises second light-emitting units and a fourth P-type semiconductor electrode transition layer; the second connecting layer comprises a second N-type semiconductor electrode transition layer and second N-electrode grids; a color conversion layer is provided at the position of the second connecting layer corresponding to some of the second light-emitting units. In the present disclosure, the driving substrate drives the light-emitting units on the first light-emitting layer and the second light-emitting layer to respectively emit green light and blue light, and then part of the blue light of the second light-emitting units is converted into red light by means of the color conversion layer, thereby achieving full-color light emission.

The invention discloses a three-color plastic scintillation optical fiber array and a preparation method and application thereof, and belongs to the technical field of plastic scintillation optical fiber arrays. The three-color plastic scintillation optical fiber array is composed of plastic scintillation optical fibers emitting red light, green light and blue light, and the three-color plastic scintillation optical fibers are arranged according to the color rule of a set pattern to form the three-color plastic scintillation optical fiber array. The optical fiber array is simple in structure, low in manufacturing cost and capable of being popularized and applied on a large scale. The three-color plastic scintillation optical fiber array has the characteristics of miniaturization, long-distance transmission and electromagnetic interference resistance, and is very suitable for radiation detection in a complex environment. Meanwhile, the optical fiber array covers red, green and blue wavelength bands, can be matched with more photoelectric detectors with different wavelength sensitivities, can realize high-resolution and long-distance imaging when being applied to X-ray imaging, can form different patterns under X-ray irradiation, and can be widely applied to the fields of radiation detection, industrial detection, medical imaging and the like.

A traffic signal timing method, system, product and medium. The method comprises the following steps: collecting real-time traffic data; according to the real-time traffic data and the preset driving direction, whether the vehicle driving direction is abnormal or not is judged; if the abnormal vehicle is detected, calculating all passable abnormal paths by using topographic data; acquiring real-time driving data of the abnormal vehicle, inputting the real-time driving data and the abnormal paths into a preset dynamic behavior model one by one, and predicting the driving probability of each path; selecting the path with the highest driving probability as a future abnormal driving path; the traffic light timing of each intersection in the future abnormal driving path is adjusted by combining real-time traffic data, so that the red light is turned on when the abnormal vehicle passes; meanwhile, the actual traffic capacity and capacity reduction proportion of each intersection in a future abnormal path are calculated, the green light duration is dynamically adjusted based on the reduction proportion, and the normal traffic circulation efficiency is ensured. By implementing the technical scheme provided by the invention, the passing efficiency of the normal traffic flow under the condition of processing the abnormal driving direction of the vehicle is improved.

The invention discloses a green laser and a laser welding machine. The green laser comprises a pumping source, a first reflector, a laser crystal, a polarization beam splitter, a second reflector, a frequency doubling crystal, a telescope lens group and a spectroscope; the pumping source provides pulse pumping light; the laser crystal absorbs the pulse pump light to generate fundamental frequency laser in an infrared band, the fundamental frequency laser enters the polarization beam splitter and is split into P polarized light and S polarized light, the P polarized light is transmitted out of the resonant cavity, and the S polarized light is transmitted in the resonant cavity; and the telescope lens group converges the fundamental frequency laser to the frequency doubling crystal to generate frequency doubling laser of a green light wave band, and the frequency doubling laser is transmitted by the spectroscope and then is output. The green laser is used for spot welding of high-reflection materials such as copper and aluminum, the maximum single pulse energy can reach 5 J, the maximum peak power is 2 kW, the pulse width ranges from 0.05 ms to 5 ms, the problem of low absorption of the high-reflection materials to laser in the 1-micron wave band is solved, and the green laser is an edge tool for precise spot welding of the high-reflection materials.