97results about How to "Guaranteed adaptability" patented technology

The invention discloses a hydrological sequence missing data complementation and trend prediction system and method, and belongs to the technical field of water conservancy information. The system comprises a data acquisition and preprocessing module, a spatial-temporal feature fusion module, a physical constraint completion module, an uncertainty prediction module, a credible evidence storage and verification module and a visual tracing module which are connected in sequence. The method comprises the following steps: collecting and preprocessing multi-source hydrological data; combining the spatial-temporal features through a dual-channel network to generate joint representation; generating and checking a completion sequence based on joint representation and coupling physical constraints such as a unit line method and a Manning formula; performing uncertainty trend prediction by using an integrated predictor; the key data of the whole process are linked and stored, and are automatically verified through an intelligent contract; and full-life-cycle visual tracing is provided. According to the method, the complementation robustness and accuracy in a high-missing-rate scene are effectively improved, the physical consistency of a complementation result is ensured, and credible evidence storage and transparent decision of the whole process are realized.

The utility model provides an underwater robot for bridge detection, which relates to the technical field of bridge detection, and comprises a robot main body, a floating component for providing floating force is arranged at the upper part of the robot main body; the propeller set comprises two side propellers and two tail propellers, the two side propellers are located on the front face of the robot body, and the two tail propellers are located at the same end of the buoyancy assembly and symmetrically arranged front and back; and the two symmetrical walking mechanisms are arranged on the robot main body through mounting structural members. The beneficial effects of the utility model are that through the reasonable layout of the propeller group and the cooperative work of the propellers at the two sides and the tail part, accurate water surface positioning and movement are realized, and the robot is ensured to smoothly approach and fit a pile foundation from the water surface; the posture of the whole machine does not need to be adjusted when the pile foundation is close to the pile foundation, and the pile foundation can be directly adsorbed and attached through the propellers on the two sides; a tensioning mechanism in the walking mechanism has self-adaptability, and an elastic support is matched with a connecting frame connected in a sliding mode.

The invention provides an NoC low-delay data transmission method based on a dynamic routing algorithm, relates to the technical field of data transmission, and aims to solve the technical problems that an existing NoC routing algorithm cannot adapt to a link dynamic load, is lack of congestion trend prejudgment, is slow in path search convergence and is insufficient in QoS differential scheduling. The method comprises the following steps: constructing a dynamic sensing module containing a double-branch LSTM time sequence prediction model, collecting states such as link bandwidth and queue length in real time, and predicting a congestion trend in 50-100ms in the future; constructing a multi-objective evaluation function taking delay as a core, and dynamically adjusting the weight according to the QoS level; solving an optimal path by adopting an improved ant colony algorithm which introduces a congestion penalty and pruning strategy; during transmission, dynamic reselection is triggered through a pre-calculation + fast matching mechanism; and iteratively optimizing the prediction model based on incremental learning. According to the method, congestion is avoided in advance, the path search efficiency and the transmission reliability are improved, the delay is remarkably reduced compared with a traditional algorithm, and the method is adaptive to delay sensitive scenes such as a high-performance processor and an AI chip.

The invention relates to the technical field of substation inspection robots, and discloses an autonomous inspection method and system for a substation inspection robot. The method comprises the following steps: acquiring current environment parameters of a transformer substation and real-time state information of an inspection robot, and constructing an inspection environment model; analyzing historical inspection records, classifying historical inspection strategies into a plurality of experience levels, and establishing a multi-layer experience pool; according to a preset target inspection state in the inspection environment model, calculating an intelligent inspection strategy required for achieving the target inspection state; the intelligent inspection strategy and the experience inspection strategy are corrected in real time by adopting a dual-channel coordination mechanism to respond to the dynamic change of the transformer substation environment, and a final inspection strategy is generated; executing a control instruction based on the final inspection strategy, completing an inspection task and recording an actual inspection state; and comparing the deviation reason between the actual inspection state and the target inspection state, adjusting the experience content in the multilayer experience pool according to the deviation reason, and optimizing the experience data.

The invention discloses a cross-temperature health state assessment method and system for an underwater robot battery, and relates to the technical field of battery health state assessment, and the method comprises the steps: S1, collecting data in the operation process of an underwater robot; s2, an environment temperature profile is constructed, and working condition types are identified; s3, constructing a multi-dimensional health feature vector; s4, constructing an LSSVM and SVR regression model, and optimizing model hyper-parameters; s5, calculating characteristic stability and comprehensive complexity indexes, and adaptively selecting a model; s6, identifying the working condition category of the charge-discharge cycle, extracting and standardizing the features, calling the adaptive model, iteratively outputting SOH estimated values, and splicing to form an SOH evolution curve; according to the cross-temperature health state evaluation method and system for the underwater robot battery provided by the invention, the problems of unstable cross-temperature performance and insufficient generalization ability in the prior art are solved.

The invention discloses an electric vehicle distributed charging optimization method and system based on a carbon emission sensitive dynamic electricity price, and the method comprises the steps: setting an initial iteration strategy based on a controllable electric vehicle load model, and averagely distributing the needed charging amount to all charging time periods; defining the size of an algorithm convergence criterion according to the required convergence precision and the number of the electric vehicles; constructing a dynamic electricity price containing coupling of a load item and a carbon emission item, and calculating an EVn cost function according to the dynamic electricity price; starting a kth round of iteration, traversing all EVn in each round of iteration, and counting k from 0; other electric vehicle charging power vectors except the EVn are calculated; after each iteration, checking whether a convergence criterion is met or not; if yes, the obtained load curve is an approximate solution of Nash equilibrium, and if not, the charging strategy is updated repeatedly; and after the load curve under the dynamic electricity price mechanism is obtained, the load curve under the time-sharing static electricity price with the same electricity price level is obtained through calculation. The method is suitable for electric vehicle group charging management in a community scene.

This utility model belongs to the technical field of injection devices, and provides a screw connection mechanism for injection equipment and an injection device. The connection mechanism includes: a hollow shaft, which is fixedly connected to the output end of a motor, and the inner peripheral wall of the hollow shaft is provided with a first limiting structure; a connecting sleeve, which is axially movable and disposed within the hollow shaft and connected to the screw, and the outer peripheral wall of the connecting sleeve is provided with a second limiting structure. Compared with the prior art, this utility model, by providing an inner peripheral wall with a first limiting structure within the hollow shaft and a matching second limiting structure on the outer peripheral wall of the connecting sleeve, allows the two to cooperate through multi-faceted contact. This enables the connecting sleeve and the screw to rotate synchronously when the hollow shaft rotates, while allowing the connecting sleeve to move freely along the axial direction. This structure simplifies the complexity of traditional connection structures, avoids problems such as poor fit and clearance accumulation caused by multi-stage connections or rolling elements, and improves transmission efficiency and equipment service life.

The invention provides a cumin inter-row harvesting device suitable for a cotton cumin interplanting mode. The cumin inter-row harvesting device comprises a divider, a harvesting and conveying device, a walking device and a control system. The walking device has an adjustable transverse working width and is used for crossing multiple rows of cotton and carrying out cross-row harvesting on multiple rows of cumin among the rows; the dividing device is arranged below the walking device and used for gathering cumin in clusters and conveying the cumin backwards. The harvesting and conveying device is distributed at the lower rear part of the dividing device and is used for cutting the divided and gathered cumin seeds and tiling the cumin seeds backwards in a harvested area; the control system is electrically connected with the dividing device, the harvesting and conveying device and the walking device and used for controlling dividing, cutting and conveying and advancing steering. The power of the whole machine is provided by a range-extended generator, and remote control is realized through a wireless remote control unit. On the premise that cotton is not damaged, cross-row efficient harvesting of multiple rows of cumin can be achieved, the structure is compact, operation is convenient and fast, labor intensity is remarkably reduced, and harvesting efficiency is improved.

The embodiment of the application provides a kind of self-adapting priority scheduling method and device of large model training task, through the performance monitoring system of innovatively designing, through feature analysis and state prediction, realize the effective planning of resource.Construct priority evaluation mechanism, combine multidimensional factors and decision making, establish reliable scheduling strategy.Introduce dynamic optimization, through execution monitoring and parameter adjustment, ensure the adaptability of scheduling.The method effectively solves the deficiencies of traditional technology in performance monitoring, priority evaluation and dynamic adjustment, etc., provides technical support for large model training.

The invention discloses a blood oxygen signal denoising method and system based on adaptive filtering, and the method comprises the steps: synchronously collecting an original blood oxygen signal and a three-axis acceleration signal through a sensor module, and obtaining an original blood oxygen signal sequence and a three-axis acceleration signal sequence which are aligned in time; the three-axis acceleration signals are fused into one-dimensional motion artifact reference noise signals used for representing the limb motion state of the user; the method comprises the following steps: dynamically calculating an adaptive step length factor sequence through a nonlinear mapping function based on multilevel energy analysis of a motion artifact reference noise signal; constructing a time-varying step size adaptive filter, and calculating noise components in the original blood oxygen signal by using the motion artifact reference noise signal and an adaptive step size factor; and subtracting the calculation noise signal from the original blood oxygen signal, and reconstructing to obtain a pure blood oxygen signal without motion artifacts. According to the method, accurate calculation and efficient suppression of motion artifacts can be achieved, and the purification quality and processing efficiency of blood oxygen signals are remarkably improved.

The utility model discloses a graphene surface detector for graphene detection, and relates to the field of graphene detection. The device comprises a bottom plate and a hollow pipe, the top surface of the bottom plate is fixedly connected with the hollow pipe, and the bottom plate is provided with a lifting mechanism and an adjusting mechanism. By arranging the adjusting mechanism, a second motor can be driven to drive a two-way threaded rod to rotate, so that two third connecting plates on the two-way threaded rod are far away from each other or close to each other, when the two third connecting plates are close to each other, a gear on a rotating rod can be driven to rotate on a rack, and meanwhile, the two third connecting plates are slowly rotated; when the two third connecting plates are far away from each other, the illumination range is expanded, the light is relatively dispersed, the illumination intensity of the graphene sheets is effectively controlled, and thus the image definition and the detection accuracy are improved; therefore, an observer can clearly identify tiny defects or structural features on the surface of the material.

The embodiment of the invention relates to the related technical field of vehicles, and discloses a torque distribution method, device and equipment of a distributed driving system, an automobile and a storage medium, a first shaft of the distributed driving system is driven by a single motor in a centralized mode, a second shaft is driven by double motors in a distributed mode, and the first shaft is a front shaft or a rear shaft; the method comprises the steps that torque distribution processing is carried out according to the expected yawing torque and the longitudinal target torque of the vehicle, and the first distribution torque and the second distribution torque of each driving motor are determined; and performing fusion processing on the first distribution torque and the second distribution torque of the driving motor, and determining a target torque of the driving motor. By means of the technical scheme, the problem that torque distribution in a distributed driving system is not reasonable enough in the prior art can be solved.

The invention relates to the technical field of stamping dies, in particular to an automatic special flash cutting die which comprises an upper die, a lower die, an upper die seat and a lower die seat, the upper die and the lower die are used for die assembly and workpiece flash stamping and cutting, the upper die seat is used for mounting the upper die, and the lower die seat is used for mounting the lower die. The lower die is provided with a punching head which is matched with the punching groove and used for punching, the lower die base is provided with a waste separating mechanism used for processing flash waste, and the waste separating mechanism is arranged outside the punching head in a surrounding mode in the circumferential direction. The automatic special flash cutting die has the effects of improving the waste material die sleeving problem of the automatic special flash cutting die and improving the production continuity.

The welding mask comprises a mask body and an illumination assembly arranged on the mask body, a containing space is formed in the mask body, and the illumination assembly comprises a lamp holder rotationally installed in the containing space and internally provided with a light source and a power source used for supplying energy to the light source; the lamp holder is provided with the following positions on the rotating path: a first position, at least one part of the lamp holder extends out of the accommodating space, and the light source is exposed outside and is electrically connected with the power supply to provide illumination; at the second position, the lamp holder is located in the accommodating space, and the light source and the power supply are disconnected. According to the technical scheme, the light source is arranged through the rotationally-arranged lamp holder, the light source can be protected while adaptability brought by multi-angle covering is guaranteed, and the stability of a product is improved; meanwhile, the electrical connection state between the light source and the power source is linked to the position of the lamp holder, connection between the light source and the power source is automatically cut off at a proper time, energy is saved, meanwhile, use experience is improved, and production efficiency is guaranteed.

This utility model relates to the field of installation brackets, and discloses an installation bracket for fire protection facility installation projects. It includes a mobile vehicle, a drive assembly fixedly connected to the top of the mobile vehicle, a sliding plate slidably connected to the top of the mobile vehicle, and an adjustment mechanism on the top of the sliding plate. The adjustment mechanism includes a screw, the bottom end of which is rotatably connected to the outer wall of the top of the sliding plate via a bearing. A first threaded sleeve is threadedly connected to the outer wall of the screw, and a lower adjusting ring is fixedly connected to the outer wall of the first threaded sleeve. The top of the lower adjusting ring contacts an upper adjusting ring. In this utility model, the sliding plate is driven to slide along a guide rail by a linear motor. Through the transmission of a worm gear, worm wheel, and screw, the height of the lower and upper adjusting rings can be adjusted to meet the installation requirements of different fire protection pipelines, ensuring the adaptability of fire protection facility installation and effectively improving installation efficiency and quality.

The application discloses a large language model test learning method, device, equipment and medium, test data is input into a large language model with low rank adaptive parameters, the prediction score of each token in the vocabulary at each generation step is obtained; the token-level evidence quality of the generation step is extracted based on the prediction score, and the token-level cognitive uncertainty of the generation step is calculated; the token-level cognitive uncertainty is smoothed, the stable area of the generation step is determined according to the smoothed uncertainty, and the mask of the model update window is constructed; the mask entropy loss is calculated based on the mask, and the low rank adaptive parameters are updated through back propagation. The application can solve the problem of adaptive drift in model updating in related technologies.

This invention provides a method for compensating for lateral deviation in autonomous driving caused by tire pressure issues, comprising the following steps: Step S1, real-time acquisition of tire motion information during vehicle operation; the tire motion information includes the linear velocity and angular velocity of tire rolling; Step S2, calculation of the tire rolling radius based on the tire motion information, and determination of whether the tire pressure is abnormal using a radius iteration method, wherein the radius iteration method uses a pre-set characteristic parameter γ to represent the difference in tire rolling radius to determine whether the tire pressure is abnormal; Step S3, determination of the relationship between tire pressure and tire radius based on the tire rolling radius and characteristic parameter γ, and determination of the tire location with abnormal tire pressure; Step S4, calculation of the compensation value for the steering wheel angle based on the characteristic parameter γ.

The application discloses a mud generator torque control method and system, and belongs to the technical field of well drilling engineering. The method comprises the following steps: performing phase identification on three-phase alternating current output by a mud generator through a digital processor, generating a PWM driving signal based on phase information, controlling the conduction and shutdown of a power switch tube connected with a generator winding, adjusting the current of a generator stator winding, and completing the control of the output torque of the generator. The application performs phase identification on three-phase alternating current through a digital processor and generates a PWM driving signal, realizes accurate control of the output torque of the generator, directly adjusts the current of the stator winding, and avoids the heat dissipation and space problems caused by the traditional resistance dissipation mode.

A combined floating pipe structure suitable for offshore floating photovoltaic platforms is characterized by comprising a core load-bearing pipe, a buoyancy layer, and ribs; the buoyancy layer is disposed outside the core load-bearing pipe and fixed by ribs that are fixedly connected to the core load-bearing pipe. This invention employs a steel-HDPE combined structure or a steel-airbag combined structure, combining high load-bearing capacity, high stability, and high durability.

This invention relates to the field of vertical milling and turning technology, and discloses a vertical milling and turning composite machining center, including a machining table, a support frame, a vertical cantilever, a drive motor, and a drive shaft. A composite machining mechanism for switching machining types is mounted on the side of the vertical cantilever; a switching mechanism for changing the workpiece's motion state according to the machining type is provided below the composite machining mechanism; a spraying mechanism for changing the coolant's application according to the machining type is provided on the upper surface of the machining table; a clamping mechanism for fixing a ring-shaped workpiece is provided at the top of the switching mechanism; the composite machining mechanism includes a sliding frame plate, with two double-toothed plates slidably connected inside the sliding frame plate. This invention utilizes the forward and reverse directions of the vertical cantilever's lifting stroke to correspond to different machining actions, improving the continuity of actions and machining efficiency, and ensuring the positional stability and synchronization accuracy of the milling cutter and drill bit near the workpiece.

The application provides a data transmission aid and relates to the field of data transmission.The data transmission aid comprises a data aid transmitter, a power line and a device power supply interface, one side of the data aid transmitter is provided with two USB interfaces and three network interfaces, and the other side of the data aid transmitter is provided with three male serial ports and three female serial ports.The data transmission aid realizes the functions of a serial port distributor, a serial port server, software distribution, data characteristic display, data mutual transmission between different interfaces and the like through the cooperation of internal hardware of the data aid transmitter and internal software of a display screen, so that the data aid transmitter and the display screen are provided with several most commonly used and most general data transmission interfaces, the special-shaped interface and the shell of the different models of the backup interface can be installed and dismounted in the installation slot at any time, the use needs of the data aid transmitter for some backup interface shells which are not commonly used can be ensured, and the application range is ensured.

The invention relates to the technical field of electricity markets, in particular to a day-ahead-real-time rolling pricing method and system for an electricity selling company, and the method comprises the following steps: S1, constructing an evolutionary game replication dynamic equation of vehicle network interaction of the electricity selling company and an electric vehicle; s2, constructing an evolutionary game income matrix; s3, constructing a day-ahead two-stage pricing optimization model; and S4, constructing a real-time rolling optimization model. According to the method, the interactive behavior with the electric vehicle is simulated through the replication dynamic equation of the evolutionary game, and the economic benefits of the electricity selling company and the electric vehicle user under different cooperation strategies can be effectively predicted and adjusted; powerful theoretical support is provided for establishing a stable cooperation relationship through an evolutionary game income matrix; through constructing a day-ahead two-stage pricing optimization model and a real-time rolling optimization model, an effective price and load management strategy is provided for an electricity selling company in a complex and changeable spot market.

This invention relates to the field of power system automation and intelligent monitoring technology, and discloses an intelligent monitoring method for substations. The method includes: acquiring historical transformer operating data, real-time meteorological data of the substation, and future task planning information; performing time alignment and missing value imputation to construct a multi-dimensional time-series input matrix; inputting this matrix into an insulation aging state coupling evaluation model based on a physical information neural network to generate an insulation aging state index; and triggering graded early warnings based on the comparison result of this index with a preset threshold. This model integrates the thermo-electrical-humidity multi-physics coupling equation and attention-enhanced LSTM to achieve high-precision, low-false-alarm online monitoring. This invention significantly reduces the false alarm rate and improves the safety and economy of substation operation and maintenance.

The application discloses a full-color bionic eye-protecting desk lamp and a lighting method thereof. The full-color bionic eye-protecting desk lamp comprises a supporting cover, a main plate and a folding panel. The main plate is fixedly connected to the supporting cover, and the folding panel is hingedly connected to the main plate. The folding panel can be clamped after being rotated to a certain angle around the main plate. An LED light source part is arranged on the panel surface of the folding panel close to the main plate. The light source of the LED light source part is a full-color bionic light source. The full-color bionic eye-protecting desk lamp further comprises an LED driving device which is electrically connected to the LED light source part. The LED driving device can drive the current change of the LED light source part to realize the change of the lighting brightness and / or the color temperature value. Through the cooperation of the lighting color temperature value change and the brightness change, the involuntary passive blinking of the human eyes, the automatic focusing of the eyeballs and the resetting can be caused to actively adjust the eye axis and prevent the lengthening of the eye axis.

The application relates to the technical field of anaerobic digestion equipment, and discloses a high-solid anaerobic digestion reactor, which comprises a main body structure, a driving structure and an agitation structure, the driving structure is fixedly arranged in the main body structure, the agitation structure is fixedly arranged on the driving structure, and the agitation structure is driven to rotate through the driving structure. The application has the beneficial effects that two-stage speed regulation is adopted to adapt to the whole process of anaerobic digestion, the working condition requirements from cold start to normal reaction are adapted, the stirring form and the rotating speed are double-regulated, the whole efficient mixing is realized, the stirring difficulty of viscous materials is solved, the inner and outer double layers are cooperatively heated, stirred and heat-conducted, the whole uniform heating is realized, and the thermal fault is completely eliminated; the mechanical structure is simple and has high linkage, the equipment development and operation energy consumption are reduced, the pipeline of the main body structure is flexibly configured, and different treatment scenes and process requirements are adapted.

The invention relates to the technical field of fuel cell production, in particular to a fuel cell bipolar plate adhesive tape segmentation method, system, medium and equipment based on gradient attention and a multi-scale void residual structure, a MobileNetV3-U-Net fusion architecture is adopted, lightweight MobileNetV3 is used as an encoder, high-level semantic features of an image are extracted step by step through a multi-layer inverse residual block, and the high-level semantic features of the image are extracted through a multi-scale void residual block. Meanwhile, a DG Attention module is embedded in the bottommost layer of the encoding stage, the DG Attention module guides attention weight calculation by extracting gradient features and long-strip-shaped features and strengthens feature capture of the edge and the slender structure of the adhesive tape, a decoder reserves multi-layer jump connection of U-Net, meanwhile, a traditional convolution operation is replaced with a Res2DilatedConv module, and therefore the decoding efficiency is improved. Multi-scale feature extraction is realized through channel grouping, multi-voidage convolution and cross-group feature fusion, the structural difference of the adhesive tape under different widths and bending degrees is adapted, and efficient and accurate segmentation of the adhesive tape region in the fuel cell bipolar plate is realized.

The invention provides a tool car and a warehousing system.The tool car comprises a car body, a fixing assembly, a lifting assembly and a traveling assembly, the lifting assembly comprises a lifting driving part and at least one vertical guide rail, the vertical guide rail is fixedly arranged on the car body, and the fixing assembly is movably arranged on the vertical guide rail; the lifting driving part can drive the fixing assembly to do lifting motion along the vertical guide rail; the advancing assembly is located at the bottom of the vehicle body and used for supporting the vehicle body and allowing the vehicle body to travel along the ground. According to the tool trolley, the goods shelf robot can be kept in the standing state and transported to the goods shelf through the ground, compared with the prior art, the goods shelf robot only needs to be erected or hoisted at a certain fixed position, the goods shelf robot does not need to be hoisted and transported through top equipment such as a sky rail in the whole process, the installation operation difficulty is lowered, and the installation efficiency is improved. And therefore, the installation cost of the goods shelf robot is reduced while the installation efficiency of the goods shelf robot is improved.

This invention relates to the field of digital twin technology, and more particularly to a predictive maintenance platform for the entire lifecycle of a heat dissipation system based on digital twins. The platform includes: a data acquisition module; a model building module; a block partitioning module for determining whether to perform direct partitioning based on regional coupling strength or related partitioning based on heat exchange correlation, according to the fault propagation coefficient; a category analysis module for determining block categories based on temperature deviation and determining whether to adjust the block categories of the second-class blocks based on the contaminant deposition impact and fluid pressure anomaly of the second-class blocks, according to the maximum fluctuation cycle decay rate; an update analysis module for determining the update frequency of each updated block based on a comprehensive evaluation value; and an update optimization module for determining whether to perform optimization adjustments based on the block change coefficient. This invention can improve model update efficiency.

The invention discloses a coal mine fault control degree evaluation method and system, and relates to the technical field of fault identification reliability evaluation. The method comprises the following steps: fusing a mining area feature set with a label set, and establishing a training set and a to-be-predicted set; constructing a support vector machine dichotomy model and training the support vector machine dichotomy model; inputting the test set into the trained model, outputting a posterior probability value P1 of each sample point, and determining a dynamic threshold according to the posterior probability value; mapping the posterior probability into the fault point category by using the dynamically determined threshold value, and evaluating the quality of the fault point; and evaluating the fault risk grade of an area with densely distributed fault points in the mining area through the proportions of the breakpoints with different qualities. According to the method, objectivity and high efficiency of AI can be maintained, and reliability quantitative evaluation capability of artificial experience can be recovered and even exceeded.

The invention relates to a high-power green laser synthesis system based on a rotary frequency doubling crystal and multiple beams of infrared pulse laser, and belongs to the technical field of laser. The system comprises a multi-beam pulse infrared laser device, a frequency doubling crystal module, an annular rotating mechanism, a beam combining device, a continuous infrared laser device, a laser frequency regulation and control device and a rotating driving control system. The four beams of pulse infrared laser sources are symmetrically arranged along the circumferential edge, and periodically staggered output is realized through frequency regulation and control; the multiple frequency doubling crystals are distributed along the rotating circular ring at equal intervals and are sequentially aligned with laser pulses under driving of the rotating mechanism, and efficient frequency doubling is achieved. The center continuous infrared laser generates stable green light through frequency doubling of the fixed crystal. Finally, the green light generated by the multiple frequency doubling crystals and the central green light are integrated into a single light beam through a beam combining device to be output. According to the system, the power upper limit and the stability of green laser are remarkably improved through energy sharing of polycrystals, rotary dynamic matching and annular cooling, and the problems that existing green laser is limited in power and serious in heat effect are solved.