Multi-optical-path collaborative operation laser integrating power adjustment
By integrating a multi-optical-path collaborative laser with power regulation, and utilizing a composite light source generation module, a power dynamic adjustment module, and a multi-wavelength laser generation module, combined with intelligent algorithms and dynamic compensation mechanisms, the problems of large spatiotemporal parameter adjustment errors and thermal power fluctuations in existing lasers have been solved, achieving high-precision, stable, and efficient multi-optical-path collaborative operation.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SHANDONG PRECISION INTELLIGENT MEDICAL EQUIPMENT CO LTD
- Filing Date
- 2026-01-29
- Publication Date
- 2026-05-08
AI Technical Summary
Existing lasers suffer from large errors and low efficiency during manual adjustment of spatiotemporal parameters, and the thermal effect causes large power fluctuations, requiring frequent shutdowns for calibration, making it difficult to meet the needs of high-precision collaborative control and dynamic compensation of multiple physical parameters.
By employing a composite light source generation module, a power dynamic adjustment module, a multi-wavelength laser generation module, and a collaborative strategy generation module, combined with intelligent algorithms and dynamic compensation mechanisms, precise matching and stable power output for multi-optical path collaborative operation are achieved.
It improves the accuracy and stability of multi-optical-path collaborative operation, suppresses the influence of thermal effects, meets diverse processing needs, reduces maintenance costs, and improves processing efficiency and consistency.
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Figure CN122000771A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of laser technology, specifically to a laser with integrated power regulation and multi-optical-path cooperative operation. Background Technology
[0002] A laser is a device that generates and amplifies coherent light based on the principle of stimulated emission. Its core components include a working medium (such as a solid, gas, or semiconductor) that provides energy level transitions for particles, a pump source (excited by light or electrical energy) that achieves population inversion, and an optical resonant cavity composed of mirrors (used for optical signal feedback and amplification). Its output light is highly monochromatic and directional.
[0003] In the field of laser technology applications, multi-optical-path collaborative lasers, by integrating the energy and spatial distribution of multiple laser beams, provide a new technological path for scenarios such as material processing and optical inspection. Existing lasers mainly rely on the combination of optical components and electronic control systems, employing independent lasers combined with beam combiners to achieve multi-wavelength output, and using hardware triggering circuits to achieve coordinated pulse timing control. With the expansion of application scenarios, this technology places higher demands on laser performance. For example, micro-nano processing requires beam position deviation to be controlled at the micrometer level and pulse synchronization error to the nanosecond level; high-power continuous processing requires suppressing power fluctuations and beam quality degradation caused by temperature; and multi-material processing requires rapid switching or simultaneous output of multiple wavelength lasers and dynamic energy matching, driving the development of lasers towards high-precision collaborative control, dynamic compensation of multiple physical parameters, and integrated design.
[0004] However, existing technologies suffer from problems such as manual adjustment of spatiotemporal parameters, large errors, low efficiency, and large power fluctuations caused by thermal effects, requiring frequent shutdowns for calibration. Summary of the Invention
[0005] To address the shortcomings of existing technologies, this invention provides a multi-optical-path collaborative laser with integrated power regulation, which solves the problems of large errors, low efficiency, and large power fluctuations caused by thermal effects in existing manual adjustment of spatiotemporal parameters, requiring frequent shutdowns for calibration.
[0006] To achieve the above objectives, the present invention provides the following technical solution: a multi-optical-path collaborative laser with integrated power adjustment, comprising the following steps: a composite light source generation module, used to acquire initial laser parameters, generate a laser seed source, and divide it into basic optical paths of different energy levels; a power dynamic adjustment module, used to adjust the sub-beam power based on the acquired temperature gradient, and based on the adjusted sub-beam, combined with a dynamic compensation optical path, output a sub-beam with stable power; a multi-wavelength laser generation module, used to generate multiple laser beams based on the stable power sub-beam through the second harmonic effect; a collaborative strategy generation module, used to generate an optimal strategy for multi-optical-path collaborative operation based on the multiple laser beams; and a task feedback control module, used to execute the task based on the optimal strategy for multi-optical-path collaborative operation, acquire the operating data during the task execution, obtain a state evaluation value, and perform hierarchical optimization.
[0007] Furthermore, the composite light source generation module includes a parameter acquisition unit, a laser seed source generation unit, an optical path segmentation and energy classification unit, and a multi-wavelength laser generation unit, wherein: the parameter acquisition unit is used to acquire initial laser parameters; the laser seed source generation unit is used to generate a laser seed source based on the initial laser parameters; and the optical path segmentation and energy classification unit is used to segment a single laser seed source into multiple sub-beams and assign different energy levels to obtain multiple basic optical paths.
[0008] Further, a laser seed source is generated based on the initial laser parameters, as follows: The initial laser parameters include the initial wavelength, initial spectral width, initial pulse width, repetition frequency, initial pulse average power, and initial pulse peak power; based on the initial laser parameters, and in conjunction with a wavelength tuner, the initial wavelength of the laser is adjusted to the target value stored in the data repository; based on the initial pulse width and repetition frequency, and in conjunction with a pulse width controller, the duration and frequency of the laser pulse are controlled to the corresponding target values stored in the data repository; based on the initial pulse average power and initial pulse peak power, and in conjunction with an electronically controlled attenuator, the initial power of the seed source is adjusted, and the laser seed source is output.
[0009] Furthermore, the single laser seed source is divided into multiple sub-beams and assigned different energy levels to obtain multiple basic optical paths. The process is as follows: Based on the acquired initial wavelength, it is compared with the reference wavelength stored in the data repository. The energy allocation ratio corresponding to the closest reference wavelength is the energy allocation ratio corresponding to the initial wavelength. Based on the proportion of each ratio in the matched energy allocation ratio, the energy level is divided into a corresponding number of levels. Based on the fiber coupler and combined with the matched energy allocation ratio, the laser seed source is divided into multiple sub-beams according to the corresponding energy allocation ratio. Combined with the corresponding number of energy levels, the corresponding energy level is assigned to each sub-beam, which is the basic optical path.
[0010] Furthermore, the sub-beam power is adjusted as follows: Based on the historical temperature gradients and corresponding historical power adjustment values stored in the data repository, a mapping set of temperature gradients and power adjustment values is established. Combined with the currently obtained temperature gradient, the corresponding power adjustment value is obtained. Based on the electronically controlled attenuator and combined with the corresponding power adjustment value, the power of the sub-beam is adjusted by changing the optical path occlusion ratio through mechanical displacement.
[0011] Further, the sub-beam with stable output power is processed as follows: The power, temperature gradient, aberration data, and fiber length of the adjusted sub-beam are acquired. Aberration data includes the root mean square value of the wavefront error, the change in beam divergence angle, and the change in focused spot size. The power is compared with the power threshold range stored in the data repository. If the power falls within the threshold range, the compensation process is not triggered. If the power does not fall within the threshold range, the compensation process is triggered, comparing the power with the reference power stored in the data repository. The power compensation scheme corresponding to the closest reference power is the current power. The power compensation scheme corresponding to the rate is as follows: The temperature gradient and aberration data are compared with the temperature gradient threshold and the corresponding parameter threshold stored in the data repository. If the temperature gradient is greater than the temperature gradient threshold and there is a parameter in the aberration data that is greater than the corresponding parameter threshold, the compensation process is triggered. If the temperature gradient is not greater than the temperature gradient threshold and there is a parameter in the aberration data that is greater than the corresponding parameter threshold, the compensation process is triggered. If the temperature gradient is not greater than the temperature gradient threshold and there is no parameter in the aberration data that is greater than the corresponding parameter threshold, the compensation process is not triggered. If the compensation process is triggered, the parameters in the temperature gradient and aberration data are used as matching data. The matching data is compared with the reference matching data stored in the data repository. The thermal lensing effect compensation scheme corresponding to the closest reference matching data is the thermal lensing effect compensation scheme corresponding to the matching data. A mapping set of temperature gradient and fiber length change values is established based on historical temperature gradient data and historical fiber length change values. Combined with the currently obtained temperature gradient, the corresponding fiber length change value is obtained. The corresponding fiber length change value is shortened to offset the optical path difference. The compensated power, temperature gradient, and root mean square value of wavefront error are obtained. The absolute value of the difference between the current power and the set target power is divided by the set target power to obtain the power error. The difference between the current temperature gradient and the initial temperature gradient is obtained to obtain the remaining temperature gradient. The difference between the root mean square value of wavefront error and the root mean square value of the compensated error is obtained to obtain the root mean square difference value. If any of the power error, the remaining temperature gradient, and the root mean square difference value is greater than the corresponding set threshold stored in the data repository, the compensation process is repeated. Otherwise, the current compensation state is maintained, the low-power detection mode is entered, and a sub-beam with stable compensated power is output.
[0012] Furthermore, multiple laser beams are generated through the second harmonic effect, as follows: based on each stable power sub-beam, combined with the second harmonic effect, each stable power sub-beam is converted into a laser beam corresponding to the target wavelength; based on the multi-channel wavelength division multiplexer in the fiber combiner, the laser beams of different target wavelengths are coupled to the same output fiber for output.
[0013] Furthermore, the optimal strategy for multi-optical-path collaborative operation is generated as follows: Laser beam state parameters, laser beam spatial parameters, laser beam temporal parameters, and task parameters are obtained; based on the task parameters, the task area is divided into multiple sub-regions using the K-means algorithm, with each sub-region matched with one laser beam. Sub-regions are sorted by processing time from longest to shortest, prioritizing processing of sub-regions with longer processing times; a collaborative optimization model is established based on the laser beam spatial and temporal parameters to obtain a multi-optical-path collaborative scheme; the laser beam spatial parameters include spot position deviation, divergence angle, and focusing position error; the laser beam temporal parameters include pulse synchronization error, processing timing delay, and equipment response time; a laser beam spatial parameter, laser beam temporal parameter, and spatiotemporal performance index are established based on historical laser beam spatial parameters, historical laser beam temporal parameters, and historical spatiotemporal performance indices. The target mapping set, combined with the currently obtained laser beam spatial and temporal parameters, yields corresponding spatiotemporal performance indices. These indices include beam position deviation, beam pulse triggering timing synchronization error, and processing path curvature radius. Based on these indices, an objective function is defined. Constraints are determined, including spatial, temporal, and path constraints. The spatial constraint specifies that the beam position deviation should not exceed the maximum permissible deviation. The temporal constraint specifies that the beam pulse triggering timing synchronization error should not exceed the maximum permissible error. The path constraint specifies that the processing path curvature radius should not be less than the minimum permissible value. The objective function is minimized using a particle swarm optimization algorithm. The optimal solution includes the optimal beam position, optimal triggering timing, and optimal scanning speed, denoted as the multi-optical-path cooperative scheme, which is the optimal strategy for multi-optical-path cooperative operation.
[0014] Furthermore, the objective function is determined based on the particle swarm optimization algorithm, as follows: S1, Encode the decision variables, such as mapping the positional deviation between beams, the timing synchronization error of beam pulse triggering, and the radius of curvature of the processing path to the particle dimension in the particle swarm; S2, Randomly generate N particles, each representing a set of parameter combinations; S3, Construct a fitness function to evaluate the performance of each individual, i.e., the objective function value; S4, Each particle records the parameter combination corresponding to its historical best fitness, and all particles share the parameter combination corresponding to the global best fitness; S5, Adjust the "movement direction and speed" of the particles according to the individual best and the global best; S6, Repeat steps S4-S5 until the maximum number of iterations, stop the calculation and output the current optimal solution, which is the multi-optical path cooperative scheme.
[0015] Further, the state assessment value is obtained and optimized in stages, as follows: Operating data includes optical-to-optical conversion efficiency, heat dissipation rate, root mean square value of wavefront distortion, melt depth fluctuation, power stability index, component temperature, vibration amplitude, spatiotemporal synchronization error, and power allocation error. The parameters in the operating data are weighted and summed to obtain the state assessment value. The state assessment value is compared with the reference assessment threshold range stored in the data repository to obtain the state assessment level, which includes Level 1, Level 2, and Level 3. If the state assessment value falls within the reference assessment threshold range, the state assessment result is Level 2, and a warning is issued. If the state assessment value does not fall within the reference assessment threshold range but is greater than the maximum value of the reference assessment threshold range, the state assessment result is Level 3, and a normal status is indicated. If the state assessment value does not fall within the reference assessment threshold range but is less than the minimum value of the reference assessment threshold range, the state assessment result is Level 1, and a fault is indicated. Based on the state assessment level, it is compared with the state reference level stored in the data repository. The optimization scheme corresponding to the same state reference level is the optimization scheme corresponding to the state assessment level.
[0016] The present invention has the following beneficial effects: This laser, featuring integrated power regulation and multi-optical-path collaborative operation, achieves precise matching of spatiotemporal parameters across multiple optical paths through intelligent algorithms, enhancing collaborative accuracy in complex scenarios. Relying on temperature sensing and dynamic compensation mechanisms, it ensures stable power output during continuous operation, suppressing thermal effects. Utilizing second harmonic generation and wavelength division multiplexing (WDM) technologies, it generates and integrates multi-wavelength laser outputs to meet diverse processing needs. Standardized modular design and simplified optical path structure enhance system integration and reduce maintenance costs. Intelligent monitoring throughout the entire process, combined with historical data learning, enables status assessment, early warning processing, and process optimization, improving processing efficiency and consistency.
[0017] Of course, any product implementing this invention does not necessarily need to achieve all of the advantages described above at the same time. Attached Figure Description
[0018] Figure 1 This is a diagram of a laser module for multi-optical-path coordinated operation with integrated power regulation, according to the present invention.
[0019] Figure 2 This is a flowchart of a laser with integrated power regulation and multi-optical path cooperative operation according to the present invention. Detailed Implementation
[0020] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.
[0021] Please see Figure 1 and Figure 2 The present invention provides a technical solution: a laser with integrated power regulation and multi-optical path cooperative operation, comprising the following steps: a composite light source generation module, used to acquire initial laser parameters, generate a laser seed source, and divide it into basic optical paths of different energy levels.
[0022] The composite light source generation module includes a parameter acquisition unit, a laser seed source generation unit, an optical path segmentation and energy classification unit, and a multi-wavelength laser generation unit.
[0023] The parameter acquisition unit is used to acquire the initial laser parameters; the laser seed source generation unit is used to generate a laser seed source based on the initial laser parameters.
[0024] The initial laser parameters include initial wavelength, initial spectral width, initial pulse width, repetition frequency, initial pulse average power, and initial pulse peak power. Based on the initial laser parameters, and in conjunction with a wavelength tuner, the initial wavelength of the laser is adjusted to the target value stored in the data repository. Based on the initial pulse width and repetition frequency, and in conjunction with a pulse width controller, the duration and frequency of the laser pulse are controlled to the corresponding target values stored in the data repository. Based on the initial pulse average power and initial pulse peak power, and in conjunction with an electronically controlled attenuator, the initial power of the seed source is adjusted, and the laser seed source is output.
[0025] The optical path splitting and energy grading unit is used to split a single laser seed source into multiple sub-beams and assign different energy levels to obtain multiple basic optical paths.
[0026] Based on the acquired initial wavelength, it is compared with the reference wavelength stored in the data repository. The energy allocation ratio corresponding to the closest reference wavelength is the energy allocation ratio corresponding to the initial wavelength. Based on the proportion of each ratio in the matched energy allocation ratio, the energy level is divided into a corresponding number of levels. Based on the fiber coupler and combined with the matched energy allocation ratio, the laser seed source is divided into multiple sub-beams according to the corresponding energy allocation ratio. Combined with the corresponding number of energy levels, the corresponding energy level is assigned to each sub-beam, which is the basic optical path.
[0027] By using a wavelength tuner to adjust the initial wavelength to the target value, and combining this with a pulse width controller and an electronically controlled attenuator, the duration, frequency, and power of the laser pulse are controlled within the target range. This ensures the stable performance of the generated laser seed source, meeting the stringent requirements of different application scenarios for light source wavelength, power, and pulse characteristics, and laying a solid foundation for subsequent optical path processing.
[0028] A single laser seed source is split into multiple sub-beams according to a matched energy distribution ratio using fiber optic couplers, and different energy levels are assigned to each sub-beam. The number of sub-beams and their energy distribution can be flexibly adjusted according to actual needs.
[0029] The multi-path basic optical system has standardized interfaces and characteristics, facilitating integration with subsequent modules such as multi-wavelength laser generators. Whether increasing the number of optical paths, adjusting the energy level, or changing the laser wavelength, it can be quickly adapted to meet the needs of multi-path collaborative operations of different scales and complexities.
[0030] The power dynamic adjustment module is used to adjust the sub-beam power based on the acquired temperature gradient, and based on the adjusted sub-beam, combined with the dynamic compensation optical path, to output a sub-beam with stable power.
[0031] Based on the historical temperature gradients and corresponding historical power adjustment values stored in the data repository, a mapping set of temperature gradients and power adjustment values is established. Combined with the currently obtained temperature gradient, the corresponding power adjustment value is obtained. Based on the electronically controlled attenuator and combined with the corresponding power adjustment value, the power of the sub-beam is adjusted by changing the optical path occlusion ratio through mechanical displacement.
[0032] The power, temperature gradient, aberration data, and fiber length of the adjusted sub-beam are obtained. The aberration data includes the root mean square value of the wavefront error, the change in beam divergence angle, and the change in the focused spot size.
[0033] The power is compared with the power threshold range stored in the data repository. If the power falls within the power threshold range, the compensation process is not triggered. If the power does not fall within the power threshold range, the compensation process is triggered, and the power is compared with the reference power stored in the data repository. The power compensation scheme corresponding to the closest reference power is the power compensation scheme corresponding to the current power.
[0034] The temperature gradient and aberration data are compared with the temperature gradient threshold and the corresponding parameter threshold stored in the data repository. If the temperature gradient is greater than the temperature gradient threshold and there is a parameter in the aberration data that is greater than the corresponding parameter threshold, the compensation process is triggered. If the temperature gradient is not greater than the temperature gradient threshold and there is a parameter in the aberration data that is greater than the corresponding parameter threshold, the compensation process is triggered. If the temperature gradient is not greater than the temperature gradient threshold and there is no parameter in the aberration data that is greater than the corresponding parameter threshold, the compensation process is not triggered.
[0035] If the compensation process is triggered, the parameters in the temperature gradient and aberration data are used as matching data. The matching data is compared with the reference matching data stored in the data repository. The thermal lensing effect compensation scheme corresponding to the closest reference matching data is the thermal lensing effect compensation scheme corresponding to the matching data.
[0036] A mapping set between temperature gradient and fiber length change is established based on historical temperature gradient data and historical fiber length change values. Combined with the currently obtained temperature gradient, the corresponding fiber length change value is obtained, and the corresponding fiber length change value is shortened to compensate for the optical path difference.
[0037] Obtain the compensated power, temperature gradient, and root mean square value of wavefront error. Divide the absolute value of the difference between the current power and the set target power by the set target power to obtain the power error. Subtract the current temperature gradient from the initial temperature gradient to obtain the remaining temperature gradient. Subtract the root mean square value of wavefront error from the compensated root mean square value to obtain the root mean square difference.
[0038] If any of the power error, temperature gradient residual, or root mean square difference exceeds the corresponding set threshold stored in the data repository, the compensation process is repeated. Otherwise, the current compensation state is maintained, the low-power detection mode is entered, and a sub-beam with stable compensated power is output.
[0039] Based on the mapping set of temperature gradient and power adjustment value in the data repository, the system can quickly match the corresponding power adjustment value according to the current temperature gradient, avoiding the lag of traditional PID control and shortening the adjustment response time.
[0040] Power regulation is achieved by changing the optical path blocking ratio through the mechanical displacement of the electronically controlled attenuator. Compared with pure electronic regulation (such as changing the pump current), it is less susceptible to electromagnetic interference and is especially suitable for stable regulation in high-power or complex electromagnetic environments.
[0041] The system achieves intelligent triggering of the compensation process by cross-comparing power, temperature gradient, and aberration data, ensuring comprehensive coverage of potential risks and avoiding compensation failure caused by misjudgment of a single parameter.
[0042] Based on the mapping set of temperature gradient and fiber length change values, the system can calculate the amount of thermal expansion or contraction of the fiber caused by temperature changes, and accurately adjust the fiber delay line length through piezoelectric ceramic micro-displacement device to compensate for optical path difference. In long fiber transmission scenarios, this mechanism can ensure that the synchronization accuracy of multiple beams is not affected by temperature.
[0043] The compensation effect is evaluated in real time using three indicators: power error, residual temperature gradient, and root mean square difference of wavefront error. If any indicator fails to meet the standard, iterative compensation is automatically initiated until the parameters return to within the threshold.
[0044] Once the compensation reaches the target, the system enters a low-power detection mode, maintaining only high-frequency sampling of key sensors. In long-term continuous operation scenarios, this mode can reduce overall power consumption while ensuring that the compensation mechanism can be activated quickly in the event of sudden temperature fluctuations.
[0045] A multi-wavelength laser generation module is used to generate multiple laser beams based on a sub-beam with stable power through the second harmonic effect.
[0046] Based on sub-beams with stable power, combined with the second harmonic effect, the sub-beams with stable power are converted into laser beams with corresponding target wavelengths; based on the multi-channel wavelength division multiplexer in the fiber combiner, laser beams with different target wavelengths are coupled to the same output fiber for output.
[0047] Based on material properties and process requirements, multiple wavelengths of laser light can be rapidly generated, satisfying various processing scenarios on a single device and improving equipment versatility. Furthermore, wavelength conversion based on stable sub-beams maintains stable energy output, avoiding energy loss and interference when multiple laser beams are transmitted separately. This simplifies the optical path structure, reduces equipment cost and maintenance difficulty, and makes the equipment smaller and easier to maintain.
[0048] The collaborative strategy generation module is used to generate the optimal strategy for multi-optical-path collaborative operation based on multiple laser beams.
[0049] Acquire laser beam state parameters, laser beam spatial parameters, laser beam time parameters, and task parameters; based on the task parameters, use the K-means algorithm to divide the task area into multiple sub-regions, each sub-region is matched with one laser beam, and the sub-regions are sorted from longest to shortest processing time, with priority given to processing the sub-regions with the longest processing time.
[0050] Based on the spatial and temporal parameters of the laser beam, a collaborative optimization model is established to obtain a multi-optical-path collaborative scheme.
[0051] Laser beam spatial parameters include spot position deviation, divergence angle, and focusing position error; laser beam temporal parameters include pulse synchronization error, processing timing delay, and equipment response time. A mapping set of laser beam spatial parameters, laser beam temporal parameters, and spatiotemporal performance indicators is established based on historical laser beam spatial parameters, historical laser beam temporal parameters, and historical spatiotemporal performance indicators. Combined with the currently obtained laser beam spatial parameters and laser beam temporal parameters, the corresponding spatiotemporal performance indicators are obtained. Spatiotemporal performance indicators include beam position deviation value, beam pulse triggering timing synchronization error value, and processing path curvature radius.
[0052] Based on spatiotemporal performance indicators, an objective function is defined; constraints are determined, including spatial constraints, temporal constraints, and path constraints; the spatial constraint is that the positional deviation between beams is not greater than the maximum permissible deviation; the temporal constraint is that the timing synchronization error of the beam pulse triggering is not greater than the maximum permissible error; and the path constraint is that the radius of curvature of the processing path is not less than the minimum permissible value.
[0053] The objective function is determined based on the particle swarm optimization algorithm. The optimal solution includes the optimal beam position, the optimal triggering timing, and the optimal scanning speed. This is denoted as the multi-optical-path cooperative scheme, which is the optimal strategy for multi-optical-path cooperative operation.
[0054] S1. Encode the decision variables, such as mapping the positional deviation between beams, the timing synchronization error of beam pulse triggering, and the radius of curvature of the processing path to the particle dimension in the particle swarm; S2. Randomly generate N particles, each representing a set of parameter combinations; S3. Construct a fitness function to evaluate the performance of each individual, i.e., the objective function value; S4. Each particle records the parameter combination corresponding to its historical best fitness, and all particles share the parameter combination corresponding to the global best fitness; S5. Adjust the particle's "movement direction and speed" based on each particle's individual best and global best; S6. Repeat steps S4-S5 until the maximum number of iterations, stop the calculation, and output the current optimal solution, which is the multi-optical path cooperative scheme.
[0055] The K-means algorithm is used to cluster and segment the task area, breaking down complex tasks into sub-regions suitable for single-beam processing. Time-consuming sub-regions are prioritized based on their processing duration. This reduces multi-beam waiting time and avoids high-power beam idling losses, making it particularly suitable for multi-process mixed processing scenarios and shortening the overall operation time.
[0056] By establishing a mapping relationship between laser beam spatial and temporal parameters and spatiotemporal performance indicators using historical data, the accuracy of multi-beam coordination is quantified in real time, ensuring precise alignment of multiple beams during processing. An objective function is defined with spatiotemporal performance indicators as the core, and a multi-dimensional optimization model is constructed by combining spatial, temporal, and path constraints. This avoids processing defects caused by exceeding limits of a single parameter, improving the job yield.
[0057] The particle swarm optimization algorithm performs a global search on parameters such as beam position, trigger timing, and scanning speed. Compared to traditional heuristic algorithms, it can find a comprehensive optimal solution within 50-100 iterations. Furthermore, the algorithm supports dynamic parameter updates; when workpiece material or processing environment changes, the optimization strategy can be reconstructed in real time to maintain operational stability. Historical optimization results are stored in a database to form a "strategy knowledge base." When similar tasks are executed again, the historical optimal parameter combinations can be directly called, reducing repeated debugging time.
[0058] The job feedback and control module is used to execute job tasks based on the optimal strategy of multi-optical path collaborative operation, obtain the running data in the execution of job tasks, obtain the status evaluation value, and perform hierarchical optimization.
[0059] The operational data includes optical-to-optical conversion efficiency, heat dissipation rate, root mean square value of wavefront distortion, melt depth fluctuation, power stability index, component temperature, vibration amplitude, spatiotemporal synchronization error value, and power distribution error value. The parameters in the operational data are weighted and summed to obtain the state assessment value. The state assessment value is compared with the reference assessment threshold range stored in the data repository to obtain the state assessment level, which includes level one, level two, and level three.
[0060] If the status assessment value falls within the reference assessment threshold range, the status assessment result is Level 2, and a warning is issued; if the status assessment value does not fall within the reference assessment threshold range but is greater than the maximum value of the reference assessment threshold range, the status assessment result is Level 3, and a normal status is indicated; if the status assessment value does not fall within the reference assessment threshold range but is less than the minimum value of the reference assessment threshold range, the status assessment result is Level 1, and a fault is indicated. Based on the status assessment level, a comparison is made with the status reference level stored in the data repository. The optimization scheme corresponding to the same status reference level is the optimization scheme corresponding to the status assessment level.
[0061] The module achieves three-level intelligent classification by comparing the current status assessment value with the dynamically updated reference threshold range in the data repository. It can automatically adjust the threshold based on historical data, avoiding false alarms while capturing genuine anomalies, thus enabling refined monitoring.
[0062] When multiple parameters are abnormal simultaneously, the system quickly identifies the root cause through correlation analysis, rather than simply addressing surface symptoms. This significantly improves troubleshooting efficiency, especially in complex optical path systems.
[0063] By comparing the status assessment value with the three-level threshold, the system can trigger differentiated processing strategies: Level 1 faults immediately trigger protection and prompt for fault repair to avoid major equipment damage. Level 2 warnings can automatically initiate parameter fine-tuning, complete compensation within a set time, maintain operational continuity, and reduce production interruptions caused by downtime for debugging. Level 3 normal operation: the system enters a low-power monitoring mode, retaining only core sensor sampling to reduce energy consumption.
[0064] The above description is merely an example and illustration of the structure of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described or use similar methods to replace them, as long as they do not deviate from the structure of the invention or exceed the scope defined in the claims, they should all fall within the protection scope of the present invention.
[0065] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.
[0066] This invention is described with reference to flowchart illustrations and / or block diagrams of systems, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, as well as combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.
[0067] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.
[0068] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.
[0069] Although preferred embodiments of the invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including both the preferred embodiments and all changes and modifications falling within the scope of the invention.
[0070] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.
Claims
1. A laser with integrated power regulation and multi-optical-path cooperative operation, characterized in that, Includes the following steps: The composite light source generation module is used to acquire initial laser parameters, generate a laser seed source, and divide it into basic optical paths of different energy levels; The power dynamic adjustment module is used to adjust the sub-beam power based on the acquired temperature gradient, and based on the adjusted sub-beam, combined with the dynamic compensation optical path, output a sub-beam with stable power. A multi-wavelength laser generation module is used to generate multiple laser beams based on a sub-beam with stable power through the second harmonic effect; The collaborative strategy generation module is used to generate the optimal strategy for multi-optical-path collaborative operation based on multiple laser beams; The job feedback and control module is used to execute job tasks based on the optimal strategy of multi-optical path collaborative operation, obtain the running data in the execution of job tasks, obtain the status evaluation value, and perform hierarchical optimization.
2. The laser with integrated power regulation and multi-optical path cooperative operation according to claim 1, characterized in that, The composite light source generation module includes a parameter acquisition unit, a laser seed source generation unit, an optical path segmentation and energy classification unit, and a multi-wavelength laser generation unit, wherein: The parameter acquisition unit is used to acquire initial laser parameters; A laser seed source generation unit is used to generate a laser seed source based on initial laser parameters; The optical path splitting and energy grading unit is used to split a single laser seed source into multiple sub-beams and assign different energy levels to obtain multiple basic optical paths.
3. A laser with integrated power regulation and multi-optical path cooperative operation according to claim 2, characterized in that, Based on the initial laser parameters, a laser seed source is generated, as follows: The initial laser parameters include initial wavelength, initial spectral width, initial pulse width, repetition frequency, initial pulse average power, and initial pulse peak power; Based on the initial laser parameters, and in conjunction with the wavelength tuner, the initial wavelength of the laser is adjusted to the target value stored in the data repository; Based on the initial pulse width and repetition frequency, and combined with the pulse width controller, the duration and frequency of the laser pulse are controlled to the corresponding target values stored in the data repository. Based on the initial pulse average power and initial pulse peak power, combined with an electronically controlled attenuator, the initial power of the seed source is adjusted, and the output laser seed source is generated.
4. A laser with integrated power regulation and multi-optical path cooperative operation according to claim 2, characterized in that, A single laser seed source is split into multiple sub-beams and assigned different energy levels to obtain multiple basic optical paths. The process is as follows: Based on the acquired initial wavelength, it is compared with the reference wavelength stored in the data repository. The energy allocation ratio corresponding to the closest reference wavelength is the energy allocation ratio corresponding to the initial wavelength. Based on the proportion of each ratio in the matched energy allocation ratio, the energy level is divided into a corresponding number of levels; Based on the fiber coupler and the energy distribution ratio obtained by matching, the laser seed source is divided into multiple sub-beams according to the corresponding energy distribution ratio. Then, based on the corresponding number of energy levels, the corresponding energy level is assigned to each sub-beam, which is the basic optical path.
5. A laser with integrated power regulation and multi-optical path cooperative operation according to claim 1, characterized in that, The sub-beam power is adjusted as follows: Based on the historical temperature gradients and corresponding historical power adjustment values stored in the data repository, a mapping set of temperature gradients and power adjustment values is established. Combined with the currently obtained temperature gradient, the corresponding power adjustment value is obtained. Based on the electronically controlled attenuator and combined with the corresponding power adjustment value, the power of the sub-beam is adjusted by changing the optical path occlusion ratio through mechanical displacement.
6. A laser with integrated power regulation and multi-optical path cooperative operation according to claim 1, characterized in that, The process of outputting a sub-beam with stable power is as follows: The power, temperature gradient, aberration data, and fiber length of the adjusted sub-beam are obtained. The aberration data includes the root mean square value of the wavefront error, the change in beam divergence angle, and the change in the focused spot size. The power is compared with the power threshold range stored in the data repository. If the power falls within the power threshold range, the compensation process is not triggered. If the power does not fall within the power threshold range, the compensation process is triggered, and the power is compared with the reference power stored in the data repository. The power compensation scheme corresponding to the closest reference power is the power compensation scheme corresponding to the current power. The temperature gradient and aberration data are compared with the temperature gradient threshold and the corresponding parameter threshold of the aberration data stored in the data repository. If the temperature gradient is greater than the temperature gradient threshold and there is a parameter in the aberration data that is greater than the corresponding parameter threshold of the aberration data, the compensation process is triggered. If the temperature gradient is not greater than the temperature gradient threshold, and there are parameters in the aberration data that are greater than the threshold of the corresponding parameter in the aberration data, then the compensation process is triggered. If the temperature gradient is not greater than the temperature gradient threshold, and there is no parameter in the aberration data that is greater than the threshold of the corresponding parameter in the aberration data, then the compensation process will not be triggered. If the compensation process is triggered, the parameters in the temperature gradient and aberration data are used as matching data. The matching data is compared with the reference matching data stored in the data repository. The thermal lensing effect compensation scheme corresponding to the closest reference matching data is the thermal lensing effect compensation scheme corresponding to the matching data. A mapping set between temperature gradient and fiber length change value is established based on historical temperature gradient data and historical fiber length change value. Combined with the currently obtained temperature gradient, the corresponding fiber length change value is obtained, and the corresponding fiber length change value is shortened to compensate for the optical path difference. Obtain the compensated power, temperature gradient, and root mean square value of wavefront error. Divide the absolute value of the difference between the current power and the set target power by the set target power to obtain the power error. Subtract the current temperature gradient from the initial temperature gradient to obtain the remaining temperature gradient. Subtract the root mean square value of wavefront error from the compensated root mean square value to obtain the root mean square difference. If any of the power error, temperature gradient residual, or root mean square difference exceeds the corresponding set threshold stored in the data repository, the compensation process is repeated. Otherwise, the current compensation state is maintained, the low-power detection mode is entered, and a sub-beam with stable compensated power is output.
7. A laser with integrated power regulation and multi-optical path cooperative operation according to claim 1, characterized in that, The process of generating multiple laser beams through the second harmonic effect is as follows: Based on sub-beams with stable power, and combined with the second harmonic effect, the sub-beams with stable power are converted into laser beams with corresponding target wavelengths. The multi-channel wavelength division multiplexer in the fiber optic combiner couples laser beams of different target wavelengths to the same output fiber.
8. A laser with integrated power regulation and multi-optical path cooperative operation according to claim 1, characterized in that, The optimal strategy for multi-optical-path cooperative operation is generated as follows: Acquire laser beam state parameters, laser beam spatial parameters, laser beam time parameters, and task parameters; Based on the task parameters, the task area is divided into multiple sub-regions using the K-means algorithm. Each sub-region is matched with a laser beam. The sub-regions are sorted from largest to smallest processing time, and the sub-regions with the longest processing time are processed first. Based on the spatial and temporal parameters of the laser beam, a collaborative optimization model is established to obtain a multi-optical-path collaborative scheme. Laser beam spatial parameters include spot position deviation, divergence angle, and focusing position error; laser beam temporal parameters include pulse synchronization error, processing timing delay, and equipment response time. Based on historical laser beam spatial parameters, historical laser beam temporal parameters, and historical spatiotemporal performance indicators, a mapping set of laser beam spatial parameters, laser beam temporal parameters, and spatiotemporal performance indicators is established. Combined with the currently obtained laser beam spatial parameters and laser beam temporal parameters, the corresponding spatiotemporal performance indicators are obtained. Spatiotemporal performance indicators include beam position deviation, beam pulse triggering timing synchronization error, and machining path curvature radius; Based on spatiotemporal performance indicators, define the objective function; Define the constraints, which include spatial constraints, time constraints, and path constraints; Spatial constraints, specifically, require that the positional deviation between beams not exceed the maximum permissible deviation; The time constraint specifically stipulates that the timing synchronization error of the beam pulse triggering must not exceed the maximum permissible error. Path constraints, specifically, require that the radius of curvature of the machining path not be less than the minimum allowable value; The objective function is determined based on the particle swarm optimization algorithm. The optimal solution includes the optimal beam position, the optimal triggering timing, and the optimal scanning speed. This is denoted as the multi-optical-path cooperative scheme, which is the optimal strategy for multi-optical-path cooperative operation.
9. A laser with integrated power regulation and multi-optical path cooperative operation according to claim 8, characterized in that, The objective function is determined based on the particle swarm optimization algorithm, and the process is as follows: S1. Encode the decision variables, such as mapping the positional deviation value between beams, the timing synchronization error value of beam pulse triggering, and the radius of curvature of the processing path to the particle dimension in the particle swarm. S2. Randomly generate N particles, each particle representing a set of parameter combinations; S3. Construct a fitness function to evaluate the performance of each individual, i.e., the objective function value; S4. Each particle records the parameter combination corresponding to its own historical best fitness, and all particles share the parameter combination corresponding to the global best fitness. S5. Adjust the "movement direction and speed" of each particle based on its individual optimality and global optimality. S6. Repeat steps S4-S5 until the maximum number of iterations is reached. Stop the calculation and output the current optimal solution. The current optimal solution is the multi-optical-path collaborative solution.
10. A laser with integrated power regulation and multi-optical path cooperative operation according to claim 1, characterized in that, The state evaluation value is obtained, and hierarchical optimization is performed as follows: The operational data includes optical-to-optical conversion efficiency, heat dissipation rate, root mean square value of wavefront distortion, melt depth fluctuation, power stability index, component temperature, vibration amplitude, spatiotemporal synchronization error, and power distribution error. The parameters in the operational data are weighted and summed to obtain the state assessment value. The status assessment value is compared with the reference assessment threshold range stored in the data repository to obtain the status assessment level, which includes level one, level two, and level three. If the status assessment value falls within the reference assessment threshold range, the status assessment result is level two, and an early warning is issued. If the status assessment value does not fall within the reference assessment threshold range, but is greater than the maximum value of the reference assessment threshold range, the status assessment result is level three, and a normal indication is given. If the status assessment value does not fall within the reference assessment threshold range and is less than the minimum value of the reference assessment threshold range, the status assessment result is Level 1, and a fault is indicated. Based on the state assessment level, it is compared with the state reference level stored in the data repository. The optimization scheme corresponding to the same state reference level is the optimization scheme corresponding to the state assessment level.