Dual-wavelength laser output system

Abstract

The invention relates to the technical field of laser output, and discloses a dual-wavelength laser output system, which comprises a first laser used for generating laser of a first wavelength; the second laser is used for generating laser with a second wavelength; the edge computing node is configured at a position close to the first laser and the second laser and is responsible for performing real-time processing and analysis on the laser data of the first wavelength and the second wavelength; the distributed computing framework is used for fragmenting the laser data and distributing the fragmented laser data to a plurality of edge computing nodes for processing; and the nonlinear optical crystal is configured on the laser output path and is used for converting and synthesizing the laser of the first wavelength and the laser of the second wavelength. Multi-wavelength output is realized through double lasers and a nonlinear optical crystal, real-time data processing and fault detection are carried out by utilizing an edge computing node, efficient data processing, storage and flexible deployment are ensured through a distributed computing framework and a database, and the stability and accuracy of the system are improved.

Description

Technical Field

[0001] The invention relates to the technical field of laser output, in particular to a dual-wavelength laser output system. Background Art

[0002] With the continuous development of science and technology, laser technology has been widely used in various fields, such as communications, medical treatment, industrial processing and scientific research. In particular, multi-wavelength laser systems are of great significance in various complex application scenarios because they can provide lasers of multiple wavelengths to meet different application requirements. However, achieving stable, accurate and efficient multi-wavelength laser output has always been the focus and difficulty of the industry.

[0003] At present, multi-wavelength laser output systems use multiple independent lasers to generate lasers of different wavelengths. These systems include multiple independent lasers for generating lasers of different wavelengths; a centralized data processing unit for processing and analyzing the laser output data; and traditional optical components, such as lenses and spectrometers, for adjusting and synthesizing lasers of different wavelengths.

[0004] Although the existing multi-wavelength laser systems have met the needs of multi-wavelength laser output to a certain extent, in the prior art, firstly, it is difficult to achieve precise synchronization of independent lasers, resulting in insufficient stability and accuracy of laser output. In addition, the use of traditional optical components increases the complexity and cost of the system, limiting the scope of application of the system. Secondly, the prior art relies on a centralized data processing unit, and data needs to be transmitted from each laser to the central processing unit for analysis. This method not only increases the delay in data transmission, but also in the case of large amounts of data and heavy processing tasks, the central processing unit can easily become a system bottleneck, making it difficult to achieve real-time and efficient fault detection and processing. Finally, the multi-wavelength laser system in the prior art lacks the support of a distributed computing architecture, and has insufficient data processing capabilities and scalability. It is difficult for the system to flexibly increase or decrease computing nodes according to actual needs and adapt to application scenarios of different scales and complexities. In addition, the deployment flexibility of the existing system in different application environments is poor, making it difficult to meet the needs of complex applications. Summary of the invention

[0005] In view of the deficiencies of the prior art, the present invention provides a dual-wavelength laser output system, which solves the deficiencies of multi-wavelength laser output and high-precision control and the deficiencies of distributed computing architecture and flexible deployment in the prior art.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: A dual-wavelength laser output system, comprising:

[0007] A first laser, used to generate laser light of a first wavelength;

[0008] A second laser, used to generate laser light of a second wavelength;

[0009] The edge computing node is configured near the first laser and the second laser and is responsible for real-time processing and analysis of laser data of the first wavelength and the second wavelength;

[0010] A distributed computing framework for sharding laser data and distributing it to multiple edge computing nodes for processing;

[0011] A nonlinear optical crystal is arranged on the laser output path and is used for converting and synthesizing the laser light of the first wavelength and the second wavelength;

[0012] The control module is used to coordinate the work of the first laser, the second laser, the edge computing node and the distributed computing framework to ensure the stability and accuracy of the dual-wavelength laser output.

[0013] Preferably, the edge computing node includes:

[0014] A data acquisition module, used to collect laser data of the first laser and the second laser, including light intensity, wavelength, and frequency parameters;

[0015] A data preprocessing module is used to filter and normalize the collected laser data to remove noise and outliers;

[0016] Fault detection module, used to detect faults or abnormalities in laser output in real time, and make judgments by analyzing the spectrum characteristics and time domain characteristics of laser data;

[0017] The protection measure execution module is used to immediately execute preset protection measures when a fault is detected, including cutting off the power supply of the faulty laser and adjusting the laser output parameters.

[0018] Preferably, the data preprocessing module uses fast Fourier transform to perform frequency domain analysis on the laser data, and the formula is as follows:

[0019] X(k)=∑n=0N-1x(n)·e-j2πkn / N

[0020] Among them, x(n) is the collected laser data, N is the number of data points, and X(k) is the frequency domain signal.

[0021] Preferably, the distributed computing framework includes:

[0022] The data sharding module is used to shard the laser data by geographic location and time period, and optimize the data distribution through the data sharding algorithm. The formula is as follows:

[0023] Di=dj∣location(dj)=iortime(dj)∈Ti

[0024] Among them, Di is the data set assigned to the i-th edge node, dj is the data point, and Ti is the i-th time period;

[0025] Data distribution module, which is used to distribute the sharded laser data to different edge computing nodes for processing, using efficient communication protocols such as gRPC or MQTT;

[0026] The collaborative computing module is used for collaborative processing between edge computing nodes, and realizes data sharing and task collaboration through communication between edge nodes.

[0027] Preferably, the distributed computing framework implements communication between edge computing nodes through an efficient communication protocol, specifically including:

[0028] Use gRPC protocol for remote procedure calls to ensure efficient and reliable data transmission;

[0029] Use MQTT protocol for messaging to ensure low latency and high concurrency communication requirements.

[0030] Preferably, the nonlinear optical crystal is used for frequency doubling and frequency conversion or difference frequency conversion to synthesize the laser light of the first wavelength and the second wavelength, specifically comprising:

[0031] The frequency doubling converter doubles the frequency of the input laser. The formula is as follows:

[0032] ω2=2ω1

[0033] Where ω1 is the frequency of the input laser, and ω2 is the frequency of the laser after frequency doubling;

[0034] The sum frequency converter combines two laser beams of different frequencies into a laser beam of a new frequency. The formula is as follows:

[0035] ω3=ω1+ω2

[0036] Among them, ω1 and ω2 are the frequencies of the input laser, and ω3 is the synthesized laser frequency;

[0037] The difference frequency converter combines two laser beams of different frequencies into a laser beam of a new frequency. The formula is as follows:

[0038] ω4=ω2-ω1

[0039] Among them, ω1 and ω2 are the frequencies of the input laser, and ω4 is the synthesized laser frequency.

[0040] Preferably, the control module includes:

[0041] A coordination control unit, used for coordinating the laser output of the first laser and the second laser, and realizing synchronization and stable output of the lasers through a control algorithm;

[0042] Data management unit, used to manage and store laser data, uses distributed database for data storage and management to ensure efficient data access and reliability;

[0043] The communication unit is used to interact with edge computing nodes and distributed computing frameworks, and to implement data transmission and command issuance through efficient communication protocols.

[0044] Preferably, the data management unit uses a distributed database for data storage, specifically including:

[0045] Data sharding storage, which distributes data across multiple nodes through sharding algorithms to improve the speed of data storage and access;

[0046] Data replication and backup: Ensure high availability and reliability of data through data replication and backup strategies;

[0047] Data consistency management ensures data consistency through distributed consistency protocols.

[0048] Preferably, the edge computing node is deployed at a substation, a distribution station or a key power equipment, specifically including:

[0049] Substation deployment: By deploying edge computing nodes in substations, real-time monitoring and protection of various equipment in the substation can be achieved;

[0050] Distribution station deployment: By deploying edge computing nodes in distribution stations, real-time monitoring and protection of the distribution network can be achieved;

[0051] Deployment of key power equipment: By deploying edge computing nodes at key power equipment, real-time monitoring and protection of equipment can be achieved.

[0052] Preferably, the fault detection module uses a support vector machine algorithm to perform fault detection, specifically including:

[0053] Feature extraction: extracting fault features by analyzing the frequency and time domain characteristics of laser data;

[0054] Model training: Use historical fault data to train the SVM model and optimize model parameters;

[0055] Real-time detection uses the trained SVM model to perform fault detection on the real-time collected laser data to determine whether there is a fault or abnormality.

[0056] The present invention provides a dual-wavelength laser output system. It has the following beneficial effects:

[0057] 1. The present invention generates lasers of different wavelengths respectively by the first laser and the second laser, and uses nonlinear optical crystals to perform frequency doubling and frequency or difference frequency conversion to achieve multi-wavelength laser output and meet diversified application needs. The control module coordinates the work of the first laser and the second laser to achieve synchronous and stable output of the lasers, thereby ensuring the accuracy and stability of the laser output. At the same time, the system adopts distributed computing and edge computing architecture, has good scalability, and can flexibly increase or decrease edge computing nodes and computing resources according to actual needs, and adapt to application scenarios of different scales and complexities.

[0058] 2. The edge computing node of the present invention is configured close to the laser, and can collect, preprocess and analyze laser data in real time, reduce data transmission delays, improve the real-time performance and response speed of the system, use a support vector machine algorithm for fault detection, extract fault features by analyzing the frequency domain and time domain characteristics of the laser data, detect faults or abnormal conditions in the laser output in real time, and execute preset protection measures in time to ensure the safety and stable operation of the system; in addition, the distributed computing framework and control module adopt an efficient communication protocol to realize data transmission and command issuance between edge computing nodes and between edge computing nodes and control modules, ensuring the efficiency and reliability of the system.

[0059] 3. The distributed computing framework of the present invention slices the laser data and distributes it to multiple edge computing nodes for processing. Through data slicing algorithms and efficient communication protocols, the efficiency and reliability of data processing are achieved, and the processing capability and scalability of the system are improved. The data management unit uses a distributed database for data storage. Through data slicing storage, data replication and backup, and consistency management, the speed of data storage and access is improved, ensuring high availability and consistency of data. Edge computing nodes can be deployed in substations, distribution stations or key power equipment to achieve real-time monitoring and protection of power equipment, thereby enhancing the adaptability and application scope of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] Figure 1 It is a system framework diagram of the present invention;

[0061] Figure 2 This is a diagram of the edge computing node framework of the present invention;

[0062] Figure 3 It is a distributed computing framework diagram of the present invention;

[0063] Figure 4 is a schematic structural diagram of the nonlinear optical crystal of the present invention;

[0064] Figure 5 It is a structural schematic diagram of the control module of the present invention. DETAILED DESCRIPTION

[0065] The following will be combined with the drawings in the specification of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0066] Example:

[0067] The present invention provides a dual-wavelength laser output system, which realizes the stable output of dual-wavelength laser by integrating a first laser, a second laser, an edge computing node, a distributed computing framework, a nonlinear optical crystal and a control module. The system enhances the stability and accuracy of laser output through real-time data processing and analysis, precise control, distributed computing and fault detection, and is suitable for a variety of application scenarios. The following is a specific implementation method for each step.

[0068] Please refer to the attached Figure 1 , multi-wavelength laser output and high-precision control

[0069] First, the system includes a first laser and a second laser, which are used to generate lasers of different wavelengths. The multi-wavelength laser output is realized by frequency doubling and frequency or difference frequency conversion through nonlinear optical crystals. The control module is used to coordinate the synchronous operation of the lasers to ensure the stability and accuracy of the laser output.

[0070] First laser and second laser:

[0071] In this embodiment, the first laser and the second laser are driven by power supplies to generate lasers of the first wavelength and the second wavelength, respectively. The operating parameters of the lasers (such as current and voltage) are monitored and adjusted by the control module to ensure the stability of the output wavelength and power.

[0072] Nonlinear optical crystals:

[0073] In this embodiment, the nonlinear optical crystal is arranged on the laser output path to convert and synthesize the laser light of the first wavelength and the second wavelength. The specific implementation includes:

[0074] Frequency doubling conversion: double the frequency of the input laser, the formula is as follows:

[0075] ω2=2ω1

[0076] Among them, ω1 is the frequency of the input laser, and ω2 is the laser frequency after frequency doubling.

[0077] Sum frequency conversion: Combine two laser beams of different frequencies into a laser beam of a new frequency. The formula is as follows:

[0078] ω3=ω1+ω2

[0079] Among them, ω1 and ω2 are the frequencies of the input laser, and ω3 is the synthesized laser frequency.

[0080] Difference frequency conversion: synthesize two laser beams of different frequencies into a laser beam of a new frequency. The formula is as follows:

[0081] ω4=ω2-ω1

[0082] Among them, ω1 and ω2 are the frequencies of the input laser, and ω4 is the synthesized laser frequency.

[0083] Control Module:

[0084] In this embodiment, the control module includes a coordination control unit, a data management unit and a communication unit. The coordination control unit is used to coordinate the laser output of the first laser and the second laser, and realize synchronous and stable output through the control algorithm. The data management unit uses a distributed database for data storage and management to ensure efficient access and reliability of laser data. The communication unit is used to interact with edge computing nodes and distributed computing frameworks, and realize data transmission and instruction issuance through efficient communication protocols.

[0085] Real-time data processing and efficient fault management

[0086] The edge computing node of this system is configured near the first laser and the second laser, and is responsible for real-time processing and analysis of laser data. Through real-time data processing and fault detection, the real-time performance and response speed of the system are improved, ensuring the safe and stable operation of the system.

[0087] Edge computing nodes:

[0088] In this embodiment, the edge computing node includes a data acquisition module, a data preprocessing module, a fault detection module and a protection measure execution module.

[0089] Data acquisition module: used to collect laser data of the first laser and the second laser, including parameters such as light intensity, wavelength, frequency, etc. The collected data is transmitted to the data preprocessing module through a high-speed data transmission interface.

[0090] Data preprocessing module: Filter and normalize the collected laser data to remove noise and outliers. Use fast Fourier transform (FFT) to perform frequency domain analysis on the laser data. The formula is as follows:

[0091] X(k)=∑n=0N-1x(n)·e-j2πkn / N

[0092] Among them, x(n) is the collected laser data, N is the number of data points, and X(k) is the frequency domain signal.

[0093] Fault detection module: Real-time detection of faults or abnormalities in laser output, and judgment by analyzing the spectrum characteristics and time domain characteristics of laser data. Support vector machine (SVM) algorithm is used for fault detection, including feature extraction, model training and real-time detection.

[0094] Feature extraction: Fault features are extracted by analyzing the frequency domain and time domain characteristics of laser data.

[0095] Model training: Use historical fault data to train the SVM model and optimize model parameters.

[0096] Real-time detection: Use the trained SVM model to perform fault detection on the real-time collected laser data to determine whether there is a fault or abnormality.

[0097] Protection measures execution module: When a fault is detected, preset protection measures are immediately executed, including cutting off the power supply of the faulty laser, adjusting the laser output parameters, etc., to avoid equipment damage or output abnormality.

[0098] Distributed computing architecture and flexible deployment

[0099] The distributed computing framework of this system is used to slice and distribute laser data to multiple edge computing nodes for processing, and achieves high efficiency and reliability of data processing through data slicing and distribution algorithms. The system has good scalability and can be flexibly deployed in different application scenarios.

[0100] Distributed computing framework:

[0101] In this embodiment, the distributed computing framework includes a data sharding module, a data distribution module and a collaborative computing module.

[0102] Data sharding module: shard laser data by geographic location and time period, and optimize data distribution through data sharding algorithm. The formula is as follows:

[0103] Di=dj∣location(dj)=iortime(dj)∈Ti

[0104] Among them, Di is the data set assigned to the i-th edge node, dj is the data point, and Ti is the i-th time period.

[0105] Data distribution module: distributes the fragmented laser data to different edge computing nodes for processing, using efficient communication protocols such as gRPC or MQTT to ensure the efficiency and reliability of data transmission.

[0106] Collaborative computing module: Data sharing and task collaboration are achieved between edge computing nodes through collaborative computing modules. Communication between edge nodes uses efficient communication protocols to ensure low latency and high concurrency communication requirements.

[0107] Data Management Unit:

[0108] In this embodiment, the data management unit uses a distributed database (such as Cassandra or HBase) for data storage, and improves the speed of data storage and access through data sharding storage, data replication and backup, and consistency management to ensure high availability and consistency of data.

[0109] Deployment of edge computing nodes:

[0110] In this embodiment, the edge computing node can be deployed at a substation, distribution station or key power equipment to achieve real-time monitoring and protection of the power equipment. The edge computing node is connected to the substation, distribution station or key power equipment through a high-speed data transmission interface, collects the operation data of the equipment in real time, and analyzes the data through data preprocessing and fault detection modules to promptly detect and handle abnormal situations.

[0111] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A dual-wavelength laser output system, characterized in that: include: A first laser, used to generate laser light of a first wavelength; A second laser, used to generate laser light of a second wavelength; The edge computing node is configured near the first laser and the second laser and is responsible for real-time processing and analysis of laser data of the first wavelength and the second wavelength; A distributed computing framework for sharding laser data and distributing it to multiple edge computing nodes for processing; A nonlinear optical crystal is arranged on the laser output path and is used for converting and synthesizing the laser light of the first wavelength and the second wavelength; The control module is used to coordinate the work of the first laser, the second laser, the edge computing node and the distributed computing framework to ensure the stability and accuracy of the dual-wavelength laser output.

2. A dual-wavelength laser output system according to claim 1, characterized in that: The edge computing node includes: A data acquisition module, used to collect laser data of the first laser and the second laser, including light intensity, wavelength, and frequency parameters; A data preprocessing module is used to filter and normalize the collected laser data to remove noise and outliers; Fault detection module, used to detect faults or abnormalities in laser output in real time, and make judgments by analyzing the spectrum characteristics and time domain characteristics of laser data; The protection measure execution module is used to immediately execute preset protection measures when a fault is detected, including cutting off the power supply of the faulty laser and adjusting the laser output parameters.

3. A dual-wavelength laser output system according to claim 2, characterized in that: The data preprocessing module uses fast Fourier transform to perform frequency domain analysis on laser data. The formula is as follows: X(k)=∑n=0N-1x(n)·e-j2πkn / N Among them, x(n) is the collected laser data, N is the number of data points, and X(k) is the frequency domain signal.

4. A dual-wavelength laser output system according to claim 1, characterized in that: The distributed computing framework includes: The data sharding module is used to shard the laser data by geographic location and time period, and optimize the data distribution through the data sharding algorithm. The formula is as follows: Di=dj∣location(dj)=iortime(dj)∈Ti Among them, Di is the data set assigned to the i-th edge node, dj is the data point, and Ti is the i-th time period; The data distribution module is used to distribute the fragmented laser data to different edge computing nodes for processing, using an efficient communication protocol; The collaborative computing module is used for collaborative processing between edge computing nodes, and realizes data sharing and task collaboration through communication between edge nodes.

5. A dual-wavelength laser output system according to claim 1, characterized in that: The distributed computing framework implements communication between edge computing nodes through an efficient communication protocol, specifically including: Use gRPC protocol for remote procedure calls to ensure efficient and reliable data transmission; Use MQTT protocol for messaging to ensure low latency and high concurrency communication requirements.

6. A dual-wavelength laser output system according to claim 1, characterized in that: The nonlinear optical crystal is used for frequency doubling and frequency conversion or difference frequency conversion to synthesize the laser of the first wavelength and the laser of the second wavelength, specifically comprising: The frequency doubling converter doubles the frequency of the input laser. The formula is as follows: ω2=2ω1 Where ω1 is the frequency of the input laser, and ω2 is the frequency of the laser after frequency doubling; The sum frequency converter combines two laser beams of different frequencies into a laser beam of a new frequency. The formula is as follows: ω3=ω1+ω2 Among them, ω1 and ω2 are the frequencies of the input laser, and ω3 is the synthesized laser frequency; The difference frequency converter combines two laser beams of different frequencies into a laser beam of a new frequency. The formula is as follows: ω4=ω2-ω1 Among them, ω1 and ω2 are the frequencies of the input laser, and ω4 is the synthesized laser frequency.

7. A dual-wavelength laser output system according to claim 1, characterized in that: The control module comprises: A coordination control unit, used for coordinating the laser output of the first laser and the second laser, and realizing synchronization and stable output of the lasers through a control algorithm; Data management unit, used to manage and store laser data, uses distributed database for data storage and management to ensure efficient data access and reliability; The communication unit is used to interact with edge computing nodes and distributed computing frameworks, and to implement data transmission and command issuance through efficient communication protocols.

8. A dual-wavelength laser output system according to claim 7, characterized in that: The data management unit uses a distributed database for data storage, specifically including: Data sharding storage, which distributes data across multiple nodes through sharding algorithms to improve the speed of data storage and access; Data replication and backup: Ensure high availability and reliability of data through data replication and backup strategies; Data consistency management ensures data consistency through distributed consistency protocols.

9. The dual-wavelength laser output system according to claim 1, characterized in that: The edge computing nodes are deployed at substations, distribution stations or key power equipment, specifically including: Substation deployment: By deploying edge computing nodes in substations, real-time monitoring and protection of various equipment in the substation can be achieved; Distribution station deployment: By deploying edge computing nodes in distribution stations, real-time monitoring and protection of the distribution network can be achieved; Deployment of key power equipment: By deploying edge computing nodes at key power equipment, real-time monitoring and protection of equipment can be achieved.

10. A dual-wavelength laser output system according to claim 2, characterized in that: The fault detection module uses a support vector machine algorithm to perform fault detection, specifically including: Feature extraction: extracting fault features by analyzing the frequency and time domain characteristics of laser data; Model training: Use historical fault data to train the SVM model and optimize model parameters; Real-time detection uses the trained SVM model to perform fault detection on the real-time collected laser data to determine whether there is a fault or abnormality.

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