Multi-modal laser fusing intelligent feedback and multi-frequency pulse output

Abstract

This invention discloses a multimode laser integrating intelligent feedback and multi-frequency pulse output, belonging to the field of multimode laser technology. This multimode laser integrating intelligent feedback and multi-frequency pulse output includes a laser generation subsystem, a multi-frequency pulse modulation subsystem, a beam shaping and output subsystem, an operation diagnosis and intelligent feedback control subsystem, and a power supply and cooling subsystem. Through intelligent feedback control, it optimizes key parameters such as laser power, wavelength, and pulse frequency in real time. Combined with the operation diagnosis module, it achieves anomaly detection and closed-loop control throughout the entire laser generation, modulation, and shaping process, improving the laser's output stability, processing accuracy, and scene adaptability. Simultaneously, the power supply and cooling subsystem ensures reliable operation of each module, reducing the risk of failure due to heat dissipation or power supply problems. This solves the problems of traditional lasers having a single output mode, lagging parameter control, and inaccurate anomaly diagnosis in multi-scenario applications.

Description

Technical Field

[0001] This invention relates to the field of multimode laser technology, specifically to a multimode laser that integrates intelligent feedback and multi-frequency pulse output. Background Technology

[0002] While traditional single-mode lasers can provide highly coherent beams, their limitation to a single mode restricts their ability to increase power, utilize spatial degrees of freedom, and adapt to complex environments. Multimode lasers, on the other hand, are laser devices capable of simultaneously outputting multiple wavelengths, pulse frequencies, or beam modes, and are widely used in precision machining, biomedicine, optical communication, and quantum technology. Their core value lies in the ability to flexibly adjust output parameters (such as wavelength, pulse width, and repetition frequency) to adapt to the needs of different application scenarios.

[0003] Current parameter control of multimode lasers mainly employs PID control algorithms and open-loop pre-compensation, adjusting power or wavelength through fixed-frequency sampling (usually below 1kHz). However, this results in significant response delays under dynamic loads, and the coupling of multiple parameters can easily lead to system instability. Anomaly diagnosis relies on spectral analysis or current / voltage threshold monitoring, but single-data-dimensional and empirical rule-based diagnostic models struggle to distinguish between noise interference and actual faults, resulting in insufficient accuracy in capturing transient anomalies and a high false alarm rate. This leads to problems such as lag in parameter control and inaccurate anomaly diagnosis. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides a multimode laser that integrates intelligent feedback and multi-frequency pulse output, solving the problems of traditional lasers having a single output mode, lagging parameter control, and inaccurate anomaly diagnosis in various application scenarios.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a multimode laser integrating intelligent feedback and multi-frequency pulse output, comprising: a laser generation subsystem for receiving laser generation signals and outputting the laser to be modulated, and acquiring actual data on the laser state and pump source state; a multi-frequency pulse modulation subsystem for receiving the laser to be modulated, modulating it, and outputting the modulated laser, and acquiring characteristic data of the modulated laser; and a beam shaping and output subsystem for shaping the modulated laser beam before outputting it, and acquiring characteristic data of the terminal output laser.

[0006] The operation diagnosis and intelligent feedback control subsystem is used to receive actual data on laser status and pump source status, modulated laser characteristic data, and terminal output laser characteristic data, perform diagnosis, obtain diagnostic results, and control the laser generation subsystem and multi-frequency pulse modulation subsystem based on the diagnostic results; the power supply and cooling subsystem is used to provide power and heat dissipation for the laser generation subsystem, multi-frequency pulse modulation subsystem, beam shaping and output subsystem, operation status diagnosis subsystem, and intelligent feedback control subsystem.

[0007] Furthermore, the actual data on the optical state and pump source state include the initial laser power, initial laser wavelength, pump source temperature, and pump source output power; the modulated laser characteristic data include the modulated laser power, modulated laser wavelength, modulated laser pulse frequency, and modulated laser pulse width; and the terminal output laser characteristic data include the output laser beam parameter product, output laser spot shape, and output laser energy distribution.

[0008] Furthermore, the operation diagnosis and intelligent feedback control subsystem includes a laser operation status diagnosis module and an operation data feedback control module. The laser operation status diagnosis module is used to perform local and global anomaly diagnosis based on actual data of the laser state and pump source state, modulated laser characteristic data, and terminal output laser characteristic data, and outputs diagnostic results, including anomaly diagnosis results for the laser generation subsystem, multi-frequency pulse modulation subsystem, beam shaping and output subsystem, and global anomaly diagnosis results. The operation data feedback control module is used to acquire abnormal state data when the laser operation status diagnosis module diagnoses local or global anomalies, and determine an operation control scheme based on the abnormal state data.

[0009] Furthermore, the laser operation status diagnosis module includes a preset data acquisition unit, a laser generation diagnosis unit, a pulse modulation diagnosis unit, a beam shaping output diagnosis unit, and a global diagnosis unit. Specifically: the preset data acquisition unit acquires the selected laser operating scenario and retrieves the corresponding laser parameter operation data from the database based on the selected laser operating scenario, including laser state and pump source state parameter data, modulated laser parameter characteristic data, and terminal output laser parameter characteristic data; the laser generation diagnosis unit receives the actual laser state and pump source state data and the laser state and pump source state parameter data, performs similarity analysis, obtains a first cosine similarity value, and if the first cosine similarity value is less than a set first threshold, outputs an abnormal diagnosis result for the laser generation subsystem as abnormal, and records the actual laser state and pump source state data as abnormal laser generation state data, sending it to the global diagnosis unit for abnormal mode analysis;

[0010] The pulse modulation diagnostic unit receives modulated laser feature data and modulated laser parameter feature data, performs similarity analysis to obtain a second cosine similarity value. If the second cosine similarity value is less than a set second threshold, the multi-frequency pulse modulation subsystem anomaly diagnosis result is output as an anomaly, and the modulated laser feature data is recorded as laser modulation anomaly state data and sent to the global diagnostic unit for anomaly mode analysis. The beam shaping output diagnostic unit receives terminal output laser feature data and terminal output laser parameter feature data, performs similarity analysis to obtain a third cosine similarity value. If the third cosine similarity value is less than a set third threshold, the beam shaping and output subsystem anomaly diagnosis result is output as an anomaly, and the beam shaping and output subsystem anomaly diagnosis result is recorded as beam shaping output anomaly state data and sent to the global diagnostic unit for anomaly mode analysis. The global diagnostic unit performs global anomaly mode diagnosis, outputs the anomaly mode, and records it as the global diagnostic result.

[0011] Further, the process of performing global diagnosis of abnormal modes and outputting global diagnosis results is as follows: Obtain abnormal laser operation data under the selected laser operating scenario and label the abnormal modes; perform statistical analysis on the abnormal laser operation data under the same abnormal mode to obtain the mean and standard deviation of each parameter, determine the abnormal range of each parameter based on the abnormal range calibration formula, and form a set of parameter abnormal ranges under this abnormal mode; establish a one-to-one mapping relationship between each abnormal mode and its corresponding set of parameter abnormal ranges to form a parameter abnormal range set-abnormal mode mapping entry; summarize all mapping entries and store them in the database to construct a complete parameter abnormal range set-abnormal mode mapping set; summarize the received abnormal state data of laser generation, abnormal state data of laser modulation, and abnormal state data of beam shaping output into abnormal state data; determine the abnormal mode based on the abnormal state data and the abnormal data range-abnormal mode mapping set, and output the global diagnosis results.

[0012] Furthermore, based on the abnormal state data and the parameter abnormal range set-abnormal pattern mapping set, the abnormal pattern is determined, and the global diagnostic result is output. The process is as follows: the abnormal state data is compared one by one with the parameter abnormal range set of each parameter abnormal range set-abnormal pattern mapping entry in the parameter abnormal range set-abnormal pattern mapping set to obtain the comparison matching value; the parameter abnormal range set corresponding to the largest and non-zero comparison matching value is determined, and the mapping entry is determined based on the parameter abnormal range set-abnormal pattern mapping entry.

[0013] Furthermore, the formula for calculating the matching value is as follows:

[0014] ;

[0015] in, The matching value corresponding to the j-th abnormal data range set. For the i-th parameter in the abnormal state data, Let i be the abnormal range of the i-th parameter in the j-th abnormal data range set. for and The judgment function, where n is the total number of parameters and j is the number of the abnormal data range set;

[0016] The formula for defining the anomaly range is:

[0017] ,in The mean value of the i-th parameter is obtained by statistical analysis of the abnormal operation data of the laser in abnormal mode. The standard deviation of the i-th parameter is obtained by statistical analysis of the abnormal operation data of the laser in abnormal mode, where k is the standard deviation multiple.

[0018] Furthermore, the operation data feedback control module includes a control action selection unit and an action execution post-diagnosis unit. The control action selection unit is used to obtain a set of control schemes under abnormal modes stored in the database, and select the candidate control scheme corresponding to the largest weight value in the control scheme set as the operation control scheme. The action execution post-diagnosis unit is used to obtain updated laser state data and perform abnormal diagnosis after the control action selection unit determines and executes the operation control scheme. If the diagnosis result is abnormal, the weight value of the candidate control scheme is updated, and a new operation control scheme is selected. If the diagnosis result is normal, the control is stopped. The updated laser state data includes updated laser state and pump source state data, updated modulated laser characteristic data, and updated terminal output laser characteristic data.

[0019] Furthermore, the process of updating the weight values ​​of the operation control scheme is as follows: Obtain the operation state improvement rate. and the increase rate of load on the power supply and cooling subsystems Improvement rate of operational status and the increase rate of load on the power supply and cooling subsystems Perform weighted processing and update the weight values: ,in, The weight values ​​before the update. The updated weight values, for Weighting factors of Weighting factor.

[0020] Furthermore, the abnormality diagnosis process is as follows: The updated laser status data is input to the global diagnostic unit. If the output abnormality mode can be matched, the diagnosis result is abnormal. If the output abnormality mode cannot be matched, local diagnosis is performed through the laser generation diagnostic unit, pulse modulation diagnostic unit, and beam shaping output diagnostic unit. If a local diagnostic abnormality exists, the diagnosis result is abnormal. If no local diagnostic abnormality exists, the diagnosis result is normal.

[0021] The present invention has the following beneficial effects:

[0022] This multimode laser, which integrates intelligent feedback and multi-frequency pulse output, optimizes key parameters such as laser power, wavelength, and pulse frequency in real time through intelligent feedback control. Combined with the operation diagnosis module, it realizes anomaly detection and closed-loop control of the entire process of laser generation, modulation, and shaping, improving the output stability, processing accuracy, and scene adaptability of the laser. At the same time, the power supply and cooling subsystem ensures the reliable operation of each module, reducing the risk of failure due to heat dissipation or power supply problems. It solves the problems of traditional lasers having a single output mode, lagging parameter control, and inaccurate anomaly diagnosis in multi-scenario applications.

[0023] 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

[0024] Figure 1 This is a flowchart of the multimode laser that integrates intelligent feedback and multi-frequency pulse output according to the present invention;

[0025] Figure 2 This is a flowchart of the laser operation status diagnosis module for a multimode laser that integrates intelligent feedback and multi-frequency pulse output, as described in this invention. Detailed Implementation

[0026] Please see Figure 1 The present invention provides a technical solution: a multimode laser integrating intelligent feedback and multi-frequency pulse output, comprising: a laser generation subsystem for receiving a laser generation signal and outputting a laser to be modulated, and acquiring actual data on the laser state and pump source state; a multi-frequency pulse modulation subsystem for receiving the laser to be modulated, modulating it, and outputting the modulated laser, and acquiring characteristic data of the modulated laser; and a beam shaping and output subsystem for shaping the modulated laser beam before outputting it, and acquiring characteristic data of the terminal output laser.

[0027] The actual data on the optical state and pump source state include the initial laser power, initial laser wavelength, pump source temperature, and pump source output power; the modulated laser characteristic data include the modulated laser power, modulated laser wavelength, modulated laser pulse frequency, and modulated laser pulse width; the terminal output laser characteristic data include the output laser beam parameter product, output laser spot shape, and output laser energy distribution.

[0028] The operation diagnosis and intelligent feedback control subsystem is used to receive actual data on laser status and pump source status, modulated laser characteristic data and terminal output laser characteristic data, and perform diagnosis to obtain diagnostic results. Based on the diagnostic results, the laser generation subsystem and multi-frequency pulse modulation subsystem are controlled. Through hierarchical diagnosis and closed-loop control mechanism, the problems of fuzzy abnormal diagnosis and lagging control in traditional lasers are solved.

[0029] The operation diagnosis and intelligent feedback control subsystem includes a laser operation status diagnosis module and an operation data feedback control module. The laser operation status diagnosis module performs local and global anomaly diagnosis based on actual data of the laser state and pump source state, modulated laser characteristic data, and terminal output laser characteristic data, and outputs diagnostic results, including anomaly diagnosis results for the laser generation subsystem, multi-frequency pulse modulation subsystem, beam shaping and output subsystem, and global anomaly diagnosis results. Through a full-process diagnosis involving hierarchical diagnosis to locate anomalies, dynamic control to eliminate anomalies, and closed-loop verification of optimization strategies, it solves the problems of ambiguous anomaly location, single control strategy, and poor environmental adaptability in traditional lasers, enabling the laser to possess high reliability, high response speed, and high adaptability in multi-modal output scenarios.

[0030] like Figure 2 As shown, the laser operation status diagnosis module includes a preset data acquisition unit, a laser generation diagnosis unit, a pulse modulation diagnosis unit, a beam shaping output diagnosis unit, and a global diagnosis unit. Among them, the preset data acquisition unit is used to acquire the selected laser operating scenario and retrieve the corresponding laser parameter operation data from the database based on the selected laser operating scenario, including laser status and pump source status parameter data, modulated laser parameter characteristic data, and terminal output laser parameter characteristic data.

[0031] Different scenarios have significantly different requirements for laser parameters (e.g., cutting requires high-frequency pulses, while welding requires continuous high power). Preset data ensures that diagnostic standards match actual needs, avoiding misjudgments due to a "one-size-fits-all" approach. For example, in cutting scenarios, the preset pulse frequency is 20-50kHz, and the beam parameter product is <5mm·mrad; in welding scenarios, the preset continuous laser power is 1000-2000W, and the spot energy concentration is >90%.

[0032] The laser generation diagnostic unit receives actual data and parameter data of the laser state and pump source state, performs similarity analysis, and obtains a first cosine similarity value. If the first cosine similarity value is less than a set first threshold, the laser generation subsystem is output as an abnormality diagnosis result, and the actual data of the laser state and pump source state are recorded as abnormal laser generation state data and sent to the global diagnostic unit for abnormal mode analysis. The pulse modulation diagnostic unit receives modulated laser characteristic data and modulated laser parameter characteristic data, performs similarity analysis, and obtains a second cosine similarity value. If the second cosine similarity value is less than a set first threshold, the system outputs an abnormality diagnosis result, declaring the laser generation subsystem abnormal, and records the actual data of the laser state and pump source state as abnormal laser generation state data, sending it to the global diagnostic unit for abnormal mode analysis. If the threshold is set, the output multi-frequency pulse modulation subsystem anomaly diagnosis result is considered abnormal, and the modulated laser characteristic data is recorded as laser modulation abnormal state data and sent to the global diagnostic unit for anomaly mode analysis. The beam shaping output diagnostic unit is used to receive the terminal output laser characteristic data and the terminal output laser parameter characteristic data, and perform similarity analysis to obtain the third cosine similarity value. If the third cosine similarity value is less than the set third threshold, the output beam shaping and output subsystem anomaly diagnosis result is considered abnormal, and the beam shaping and output subsystem anomaly diagnosis result is recorded as beam shaping output abnormal state data and sent to the global diagnostic unit for anomaly mode analysis.

[0033] From laser generation (source) to pulse modulation (process) to beam output (terminal), end-to-end diagnostics are achieved, providing comprehensive monitoring without blind spots. The closer the cosine similarity value is to 1, the more similar the actual data is to the reference data (normal state). For example, if the first cosine similarity value is less than a first threshold, such as 0.8, an anomaly is determined. This avoids the "black and white" defects of traditional threshold judgments, reflecting the severity of anomalies through similarity values, thus improving the laser's diagnostic capabilities for complex anomalies, especially suitable for multimodal scenarios.

[0034] The global diagnostic unit performs global diagnostics on abnormal modes and outputs the abnormal modes as the global diagnostic results. These abnormal modes include, but are not limited to, pump source overheating anomalies, gain medium performance degradation anomalies, pulse frequency instability anomalies, and beam shape distortion anomalies. It integrates abnormal data from various subsystems and identifies single-module anomalies or cross-module cascading anomalies through an abnormal mode mapping set.

[0035] The process of performing global diagnosis of abnormal modes and outputting global diagnosis results is as follows: Obtain abnormal laser operation data under the selected laser working scenario and label the abnormal modes; perform statistical analysis on the abnormal laser operation data under the same abnormal mode to obtain the mean and standard deviation of each parameter, determine the abnormal range of each parameter based on the abnormal range calibration formula, and form a set of parameter abnormal ranges under this abnormal mode; use statistical methods to dynamically adjust the range according to the actual data distribution (e.g., in a certain scenario, the average value of the pump source temperature parameter is 65℃, and the abnormal range is calibrated to 40℃-75℃) to avoid misjudgment.

[0036] Each abnormal mode is mapped one-to-one with its corresponding set of abnormal parameter ranges, forming a parameter abnormal range set-abnormal mode mapping entry. All mapping entries are summarized and stored in the database to construct a complete parameter abnormal range set-abnormal mode mapping set. The received abnormal state data of laser generation, abnormal state data of laser modulation, and abnormal state data of beam shaping output are summarized into abnormal state data. Based on the abnormal state data and the abnormal data range-abnormal mode mapping set, the abnormal mode is determined, and the global diagnostic result is output.

[0037] When a new anomaly occurs, it is directly compared with the mapping set, eliminating the need to repeatedly analyze historical data. When a new anomaly pattern is added, only the mapping entry needs to be supplemented, allowing the system's diagnostic capabilities to continuously evolve. Mapping sets are constructed for different work scenarios (such as cutting, welding, and medical applications), and the parameter range for the same anomaly pattern differs across scenarios. By constructing a data-driven, scenario-adaptive, and dynamically evolving anomaly pattern mapping set, this process transforms laser fault diagnosis from experience-based manual judgment to data-driven intelligent decision-making.

[0038] Anomaly pattern determination is performed based on abnormal state data and the parameter anomaly range set-anomaly pattern mapping set, outputting a global diagnostic result. The process is as follows: The abnormal state data is compared one by one with the parameter anomaly range set of each parameter anomaly range set-anomaly pattern mapping entry in the parameter anomaly range set-anomaly pattern mapping set to obtain a matching value. The parameter anomaly range set corresponding to the largest and non-zero matching value is determined. Based on the parameter anomaly range set-anomaly pattern mapping entries, mapping entries are determined. Non-quantitative matching logic (such as "partial parameter matching") is prone to misjudgment, while numerical comparison achieves accurate screening. Each mapping entry quantifies the degree of matching through a matching value; a larger value indicates a higher degree of matching.

[0039] The formula for calculating the matching value is:

[0040] ;

[0041] in, The matching value corresponding to the j-th abnormal data range set. For the i-th parameter in the abnormal state data, Let i be the abnormal range of the i-th parameter in the j-th abnormal data range set. for and The judgment function is defined by n, where n is the total number of parameters and j is the number of the abnormal data range set. The comparison matching value unifies the parameters of different dimensions (such as temperature, power, frequency) into values ​​of 0-1, which is convenient for horizontal comparison.

[0042] The formula for defining the anomaly range is:

[0043] ,in The mean value of the i-th parameter is obtained by statistical analysis of the abnormal operation data of the laser in abnormal mode. The standard deviation of the i-th parameter is obtained by statistical analysis of abnormal laser operation data under abnormal mode, where k is a multiple of the standard deviation. The anomaly range is dynamically generated based on the mean and standard deviation of historical data, rather than being manually set, thus conforming to the data distribution pattern.

[0044] The operation data feedback control module is used to acquire abnormal status data when the laser operation status diagnosis module detects local or global abnormalities, and to determine the operation control scheme based on the abnormal status data.

[0045] The operational data feedback control module includes a control action selection unit and a post-action diagnosis unit. The control action selection unit retrieves a set of control schemes for abnormal modes stored in the database and selects the candidate control scheme corresponding to the largest weight value in the set as the operational control scheme. For example, a candidate control scheme may include drive signal adjustment, laser power adjustment, and laser wavelength adjustment. A candidate control scheme can adjust multiple parameters (such as drive signal, power, and wavelength) simultaneously, overcoming the limitations of traditional single-parameter adjustment methods. The weight value represents the historical success rate of the scheme and is dynamically updated based on actual operational results.

[0046] The database stores multiple candidate solutions for the same anomaly mode (e.g., Solution A: Adjust current; Solution B: Adjust cooling temperature), and prioritizes them by weight, significantly shortening fault recovery time. In different working scenarios (e.g., high-temperature workshop vs. constant-temperature laboratory), the optimal solution for the same anomaly mode may differ; the weighting mechanism automatically selects the solution best suited to the current environment.

[0047] The post-action diagnosis unit acquires updated laser state data and performs anomaly diagnosis after the control action selection unit determines and executes the operating control scheme. If the diagnosis result is abnormal, the weight values ​​of the candidate control schemes are updated, and a new operating control scheme is selected. If the diagnosis result is normal, the control is stopped. For example, if the initial attempt to "increase the pump current" fails to solve the problem, the weight of this scheme is reduced, and the attempt to "adjust the resonant cavity parameters" is made instead, approximating the optimal solution through multiple iterations. Through weight-driven intelligent decision-making and closed-loop verification mechanisms, laser control is transformed from experience-based trial-and-error adjustments to data-driven precise optimization.

[0048] The updated laser status data includes the updated actual data of laser status and pump source status, the updated data of modulated laser characteristics, and the updated data of terminal output laser characteristics.

[0049] The process of updating the weight values ​​of the operation control scheme is as follows: Obtain the operation status improvement rate. and the increase rate of load on the power supply and cooling subsystems Improvement rate of operational status and the increase rate of load on the power supply and cooling subsystems Perform weighted processing and update the weight values: ,in, The weight values ​​before the update. The updated weight values, for Weighting factors of Weighting factors are used to maximize the effectiveness of control strategies.

[0050] It should be noted that the operational status improvement rate The previous method involved performing local diagnostics on the updated laser status data through a laser generation diagnostic unit, a pulse modulation diagnostic unit, and a beam shaping output diagnostic unit to obtain updated first cosine similarity values, second cosine similarity values, and third cosine similarity values. These updated values ​​were then compared with the values ​​before the update to determine the operational status improvement rate. Exemplary , , and These are the updated first cosine similarity value, second cosine similarity value, and third cosine similarity value, respectively. , , These are the first, second, and third cosine similarity values ​​before the update.

[0051] Increase rate of load on power supply and cooling subsystems The calculation is based on the power supply voltage and cooling fan speed before and after the update.

[0052] The anomaly diagnosis process is as follows: Updated laser status data is input to the global diagnostic unit. If an output anomaly pattern is matched, the diagnosis result is anomaly. If no matching pattern is found (match value is 0), local diagnosis is performed through the laser generation diagnostic unit, pulse modulation diagnostic unit, and beam shaping output diagnostic unit. If a local diagnostic anomaly exists, the diagnosis result is anomaly; otherwise, the diagnosis result is normal. Even if the global diagnosis does not match an anomaly pattern, local diagnosis is still used to verify whether the parameters of each subsystem have fully recovered (e.g., whether the pump source temperature of the laser generation subsystem has returned to the set range), ensuring both short-term and long-term solutions.

[0053] The power supply and cooling subsystem is used to supply power and dissipate heat for the laser generation subsystem, multi-frequency pulse modulation subsystem, beam shaping and output subsystem, operation status diagnosis subsystem, and intelligent feedback control subsystem.

[0054] An electronic device includes: a processor; and a memory storing computer program instructions that, when executed by the processor, cause the processor to perform a multimode laser that integrates intelligent feedback and multi-frequency pulse output as described above.

[0055] A computer-readable storage medium for storing a program that, when executed by a processor, implements a multimode laser with fused intelligent feedback and multi-frequency pulse output as described above.

[0056] 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.

[0057] 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, and 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 illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0058] 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.

[0059] 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.

[0060] 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.

[0061] 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 multimode laser integrating intelligent feedback and multi-frequency pulse output, characterized in that, include: The laser generation subsystem is used to receive laser generation signals and output the laser to be modulated, and to acquire actual data on the laser state and pump source state. The multi-frequency pulse modulation subsystem is used to receive the laser to be modulated, modulate it, output the modulated laser, and acquire the characteristic data of the modulated laser. The beam shaping and output subsystem is used to shape the modulated laser beam before outputting it and to acquire characteristic data of the output laser at the terminal. The operation diagnosis and intelligent feedback control subsystem is used to receive actual data of laser status and pump source status, modulated laser characteristic data and terminal output laser characteristic data, perform diagnosis, obtain diagnosis results, and control the laser generation subsystem and multi-frequency pulse modulation subsystem based on the diagnosis results; The power supply and cooling subsystem is used to provide power and heat dissipation for the laser generation subsystem, multi-frequency pulse modulation subsystem, beam shaping and output subsystem, operation status diagnosis subsystem, and intelligent feedback control subsystem. Actual data on laser status and pump source status include initial laser power, initial laser wavelength, pump source temperature, and pump source output power; The modulated laser characteristic data includes modulated laser power, modulated laser wavelength, modulated laser pulse frequency, and modulated laser pulse width; The terminal output laser characteristic data includes the output laser beam parameter product, the output laser spot shape, and the output laser energy distribution; The operation diagnosis and intelligent feedback control subsystem includes a laser operation status diagnosis module and an operation data feedback control module, wherein: The laser operation status diagnosis module is used to perform local anomaly diagnosis and global anomaly diagnosis based on actual data of laser status and pump source status, modulated laser characteristic data and terminal output laser characteristic data, and output the diagnosis results, including anomaly diagnosis results of laser generation subsystem, anomaly diagnosis results of multi-frequency pulse modulation subsystem, anomaly diagnosis results of beam shaping and output subsystem, and global anomaly diagnosis results. The operation data feedback control module is used to acquire abnormal status data when the laser operation status diagnosis module detects local or global abnormalities, and to determine the operation control scheme based on the abnormal status data. The laser operation status diagnostic module includes a preset data acquisition unit, a laser generation diagnostic unit, a pulse modulation diagnostic unit, a beam shaping output diagnostic unit, and a global diagnostic unit; The operation data feedback control module includes a control action selection unit and an action execution post-diagnosis unit, wherein: The control action selection unit is used to obtain the set of control schemes under abnormal modes stored in the database, and select the candidate control scheme corresponding to the largest weight value in the control scheme set as the running control scheme. The post-action execution diagnostic unit is used to obtain updated laser status data and perform anomaly diagnosis after the control action selection unit determines and executes the operation control scheme. If the diagnosis result is abnormal, the weight value of the candidate control scheme is updated and the operation control scheme is reselected. If the diagnosis result is normal, the modulation is stopped. The updated laser status data includes the updated laser status and pump source status actual data, the updated modulated laser characteristic data, and the updated terminal output laser characteristic data. The process of updating the weight values ​​of the candidate control schemes is as follows: Get runtime improvement rate and the increase rate of load on the power supply and cooling subsystems Improvement rate of operational status and the increase rate of load on the power supply and cooling subsystems Perform weighted processing and update the weight values: ,in, The weight values ​​before the update. The updated weight values, for Weighting factors of Weighting factor.

2. The multimode laser integrating intelligent feedback and multi-frequency pulse output according to claim 1, characterized in that, The preset data acquisition unit is used to acquire the selected laser operating scenario and acquire the corresponding laser parameter operation data from the database based on the selected laser operating scenario, including laser state and pump source state parameter data, modulated laser parameter characteristic data and terminal output laser parameter characteristic data. The laser generation diagnostic unit is used to receive actual data of laser state and pump source state and parameter data of laser state and pump source state, and perform similarity analysis to obtain a first cosine similarity value. If the first cosine similarity value is less than a set first threshold, the laser generation subsystem abnormal diagnosis result is output as abnormal, and the actual data of laser state and pump source state are recorded as laser generation abnormal state data and sent to the global diagnostic unit for abnormal mode analysis. The pulse modulation diagnostic unit is used to receive modulated laser feature data and modulated laser parameter feature data, and perform similarity analysis to obtain a second cosine similarity value. If the second cosine similarity value is less than the set second threshold, the multi-frequency pulse modulation subsystem abnormal diagnosis result is output as abnormal, and the modulated laser feature data is recorded as laser modulation abnormal state data and sent to the global diagnostic unit for abnormal mode analysis. The beam shaping output diagnostic unit is used to receive the terminal output laser characteristic data and the terminal output laser parameter characteristic data, and perform similarity analysis to obtain the third cosine similarity value. If the third cosine similarity value is less than the set third threshold, the output beam shaping and output subsystem abnormality diagnosis result is abnormal, and the beam shaping and output subsystem abnormality diagnosis result is recorded as beam shaping output abnormality status data and sent to the global diagnostic unit for abnormal mode analysis. The global diagnostic unit performs global diagnostics on abnormal modes and outputs the abnormal modes as global diagnostic results.

3. The multimode laser integrating intelligent feedback and multi-frequency pulse output according to claim 2, characterized in that, The process of performing a global diagnosis of abnormal modes and outputting the global diagnosis results is as follows: Acquire abnormal laser operation data under selected laser operating scenarios and label abnormal modes; Statistical analysis is performed on the abnormal operation data of lasers under the same abnormal mode to obtain the mean and standard deviation of each parameter. Based on the abnormal range calibration formula, the abnormal range of each parameter is determined to form a set of abnormal parameter ranges under this abnormal mode. Establish a one-to-one mapping relationship between each abnormal mode and its corresponding set of abnormal parameter ranges to form a parameter abnormal range set-abnormal mode mapping entry. Summarize all mapping entries and store them in the database to construct a complete parameter abnormal range set-abnormal mode mapping set. The received abnormal state data of laser generation, abnormal state data of laser modulation, and abnormal state data of beam shaping output are summarized into abnormal state data. Based on the abnormal state data and the abnormal range set of parameters - abnormal mode mapping set, the abnormal mode is determined and the global diagnostic result is output.

4. The multimode laser integrating intelligent feedback and multi-frequency pulse output according to claim 3, characterized in that, Anomalies are determined based on abnormal state data and the parameter anomaly range set-anomaly pattern mapping set, and global diagnostic results are output. The process is as follows: The abnormal state data is compared one by one with the parameter abnormal range set of each parameter abnormal range set-abnormal mode mapping entry in the parameter abnormal range set-abnormal mode mapping set to obtain the comparison matching value. Determine the set of parameter anomaly ranges corresponding to the largest non-zero alignment value, and determine the mapping entries based on the parameter anomaly range set - anomaly pattern mapping entries.

5. The multimode laser integrating intelligent feedback and multi-frequency pulse output according to claim 4, characterized in that, The formula for calculating the matching value is: ； in, The matching value corresponding to the j-th abnormal data range set. For the i-th parameter in the abnormal state data, Let i be the abnormal range of the i-th parameter in the j-th abnormal data range set. for and The judgment function, where n is the total number of parameters and j is the number of the abnormal data range set; The formula for defining the anomaly range is: ,in The mean value of the i-th parameter is obtained by statistical analysis of the abnormal operation data of the laser in abnormal mode. The standard deviation of the i-th parameter is obtained by statistical analysis of the abnormal operation data of the laser in abnormal mode, where k is the standard deviation multiple.

6. The multimode laser integrating intelligent feedback and multi-frequency pulse output according to claim 1, characterized in that, The process of abnormal diagnosis is as follows: The updated laser status data is input into the global diagnostic unit. If it matches the output abnormal mode, the diagnostic result is abnormal. If the abnormal output mode cannot be matched, local diagnosis is performed through the laser generation diagnostic unit, pulse modulation diagnostic unit, and beam shaping output diagnostic unit. If a local diagnostic abnormality exists, the diagnosis result is abnormal; if no local diagnostic abnormality exists, the diagnosis result is normal.

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