Optical fiber matrix microdisplacement compensation system and method
Patent Information
- Application Number
- CN202610268724.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2026-03-06
- Publication Date
- 2026-10-27
- Estimated Expiration
- 2046-03-06
AI Technical Summary
然而,现有的方法由于仅依赖单一传感器,难以全面、精准地获取光纤矩阵的微位移信息,且固定补偿参数无法适应复杂多变的运行环境以及光纤自身特性的动态变化,导致补偿效果不佳,难以满足高精度应用场景的需求
[0014]本申请还提供了光纤矩阵微位移补偿方法,包括:利用光纤传感器阵列连续采集光纤矩阵的微位移数据;实时采集所述光纤矩阵的运行环境信息;根据所述运行环境信息对所述微位移数据进行外部环境因素和光纤内部因素的分解,构建外部环境补偿参数和内部光纤补偿参数;以所述外部环境补偿参数控制环境调节器进行外部环境补偿,以所述内部光纤补偿参数控制微动平台进行内部参数补偿。
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Figure CN122237443B_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of precision control of fiber optic sensing, and in particular to a fiber optic matrix micro-displacement compensation system and method. Background Technology
[0002] In fiber optic applications, precise control of the micro-displacement of fiber optic matrices is crucial for ensuring system performance and stability. Even minute displacement deviations can trigger signal transmission errors, measurement inaccuracies, and other problems, ultimately affecting the reliability and accuracy of the entire system. Currently, solving the micro-displacement problem of fiber optic matrices mainly relies on conventional displacement compensation methods, typically using a single sensor for displacement monitoring combined with preset fixed compensation parameters. However, existing methods, due to their reliance on a single sensor, struggle to comprehensively and accurately acquire the micro-displacement information of the fiber optic matrix. Furthermore, the fixed compensation parameters cannot adapt to complex and changing operating environments and the dynamic changes in the fiber's own characteristics, resulting in poor compensation effects and failing to meet the demands of high-precision applications.
[0003] Currently, fiber optic matrix displacement compensation suffers from inaccurate compensation. Summary of the Invention
[0004] This application provides a fiber optic matrix micro-displacement compensation system and method. It uses a fiber optic sensor array to continuously acquire micro-displacement data of the fiber optic matrix, while simultaneously acquiring real-time operating environment information. Based on the operating environment information, the micro-displacement data is decomposed to construct external environment compensation parameters and internal fiber optic compensation parameters. The external environment compensation parameters are used to control the compensation of the environmental regulator, and the internal fiber optic compensation parameters are used to control the compensation of the micro-motion platform. These technical means solve the technical problem of inaccurate compensation in existing fiber optic matrix displacement compensation systems and achieve the technical effect of improving the accuracy of displacement compensation.
[0005] This application provides a fiber optic matrix micro-displacement compensation system, comprising: a micro-displacement data acquisition module for continuously acquiring micro-displacement data of the fiber optic matrix using a fiber optic sensor array; an operating environment information acquisition module for real-time acquisition of operating environment information of the fiber optic matrix; a factor decomposition module for decomposing the micro-displacement data into external environmental factors and internal fiber optic factors based on the operating environment information, and constructing external environment compensation parameters and internal fiber optic compensation parameters; and a compensation module for controlling an environmental regulator to perform external environment compensation using the external environment compensation parameters, and controlling a micro-motion platform to perform internal parameter compensation using the internal fiber optic compensation parameters.
[0006] In a possible implementation, the fiber optic matrix is a structure composed of multiple optical fibers arranged in an array; the fiber optic sensor array is a sensing network composed of multiple fiber optic sensors; wherein, each fiber optic sensor in the fiber optic sensor array is located at the connection point between the optical fibers in the fiber optic matrix, and when any fiber in the fiber optic matrix is displaced, the corresponding fiber optic sensor captures the displacement change.
[0007] In a possible implementation, the factor decomposition module includes: an external displacement compensation relationship construction unit, used to construct an external displacement compensation relationship between displacement and environmental factors based on the operating environment information; a displacement segmentation unit, used to segment the micro-displacement data under the influence of internal factors using the external displacement compensation relationship, generating internal micro-displacement data; an external environment compensation control analysis unit, used to perform external environment compensation control analysis using the external displacement compensation relationship, generating the external environment compensation parameters; and an internal fiber optic compensation control analysis unit, used to perform compensation control analysis of the micro-motion platform using the internal micro-displacement data, generating the internal fiber optic compensation parameters.
[0008] In a possible implementation, the external displacement compensation relationship construction unit includes: an optical fiber material information acquisition subunit, used to acquire optical fiber material information in the optical fiber matrix; a micro-displacement testing subunit, used to perform micro-displacement testing under environmental change conditions based on the optical fiber material information, and generate environment-micro-displacement test data; a relationship modeling subunit, used to model the relationship between various environmental factors and micro-displacement using the environment-micro-displacement test data, and generate an environment-micro-displacement relationship model; and an external displacement compensation relationship generation subunit, used to call the environment-micro-displacement relationship model to analyze the operating environment information and generate the external displacement compensation relationship.
[0009] In a possible implementation, the environment-micro-displacement relationship model includes the influence relationship between various environmental factors and micro-displacement, and the various environmental factors include at least temperature, humidity and airflow changes.
[0010] In a possible implementation, the displacement segmentation unit includes: an external micro-displacement data extraction subunit, used to extract displacement under the influence of external environmental factors based on the external displacement compensation relationship, and generate external micro-displacement data; and a data calculation subunit, used to subtract the external micro-displacement data from the micro-displacement data to generate the internal micro-displacement data.
[0011] In a possible implementation, the environmental conditioner includes regulating devices for adjusting temperature, humidity, and airflow, and the micro-motion platform includes a platform body, a drive structure, and a transmission mechanism.
[0012] In a possible implementation, the system further includes: an output signal status monitoring module for monitoring the output signal status of the fiber optic matrix; a compensation effectiveness judgment module for judging the effectiveness of micro-displacement compensation based on the output signal status and generating error information based on the judgment result; and a compensation strategy update module for updating the compensation strategy based on the error information and feeding back the updated compensation strategy to the environmental regulator and the micro-motion platform.
[0013] In possible implementations, the output signal state includes at least optical power, alignment error, and insertion loss.
[0014] This application also provides a method for micro-displacement compensation of an optical fiber matrix, comprising: continuously acquiring micro-displacement data of the optical fiber matrix using an optical fiber sensor array; acquiring the operating environment information of the optical fiber matrix in real time; decomposing the micro-displacement data into external environmental factors and internal optical fiber factors according to the operating environment information, and constructing external environmental compensation parameters and internal optical fiber compensation parameters; controlling an environmental regulator to perform external environmental compensation using the external environmental compensation parameters, and controlling a micro-motion platform to perform internal parameter compensation using the internal optical fiber compensation parameters.
[0015] The proposed fiber optic matrix micro-displacement compensation system and method comprises a micro-displacement data acquisition module for continuously acquiring micro-displacement data of the fiber optic matrix using a fiber optic sensor array, an operating environment information acquisition module for real-time acquisition of operating environment information of the fiber optic matrix, and a factor decomposition module for decomposing the micro-displacement data into external environmental factors and internal fiber optic factors based on the operating environment information, constructing external environment compensation parameters and internal fiber optic compensation parameters. A compensation module controls an environmental regulator to perform external environment compensation using the external environment compensation parameters and controls a micro-motion platform to perform internal parameter compensation using the internal fiber optic compensation parameters. This achieves the technical effect of improving the accuracy of displacement compensation. Attached Figure Description
[0016] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings of the embodiments of the present invention will be briefly described below. Flowcharts are used in this application to illustrate the operations performed by the system according to the embodiments of the present application. It should be understood that the preceding or following operations are not necessarily performed precisely in sequence. Instead, various steps can be processed in reverse order or simultaneously as needed. Furthermore, other operations can be added to these processes, or one or more steps can be removed from these processes.
[0017] Figure 1 This is a schematic diagram of the structure of the fiber optic matrix micro-displacement compensation system provided in the embodiments of this application.
[0018] Figure 2This is a flowchart illustrating the fiber optic matrix micro-displacement compensation method provided in an embodiment of this application.
[0019] Figure labeling: 10 for micro-displacement data acquisition module, 20 for operating environment information acquisition module, 30 for factor decomposition module, and 40 for compensation module. Detailed Implementation
[0020] The above description is merely an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, specific embodiments of this application are given below.
[0021] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description of this application will be provided in conjunction with the accompanying drawings. The described embodiments should not be considered as limitations on this application. All other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.
[0022] In the following description, references to "some embodiments" describe a subset of all possible embodiments; however, it is understood that "some embodiments" may be the same or different subsets of all possible embodiments and may be combined with each other without conflict. The terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or modules not explicitly listed or inherent to such processes, methods, products, or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of this application only.
[0023] This application provides an embodiment of a fiber optic matrix micro-displacement compensation system, such as... Figure 1 As shown, the system includes: The micro-displacement data acquisition module 10 is used to continuously acquire micro-displacement data of the fiber optic matrix using a fiber optic sensor array.
[0024] Specifically, fiber optic sensor arrays are positioned at key locations within the fiber optic matrix. These arrays employ distributed fiber optic sensors (such as fiber Bragg grating (FBG) sensors or long-period fiber grating (LPG) sensors), which can convert micro-displacements into changes in optical signals. Optical pulses are emitted using devices such as optical time-domain reflectometers (OTDRs) or optical frequency-domain reflectometers (OFDRs). These pulses propagate through the fiber optic cable and, upon encountering a fiber optic sensor, generate reflected light signals. These reflected light signals are detected and converted into digital signals using an analog-to-digital converter (ADC).
[0025] For example, using FBG sensors, each FBG sensor can detect minute strain changes in the optical fiber, thus reflecting micro-displacement. Using an OTDR device, the emitted light pulses propagate in the optical fiber, and when they encounter the FBG sensor, they generate reflected light signals. The OTDR device detects the reflected light signals and converts them into electrical signals.
[0026] In one possible implementation, the fiber matrix is a structure composed of multiple optical fibers arranged in an array; the fiber sensor array is a sensing network composed of multiple fiber sensors; wherein, each fiber sensor in the fiber sensor array is located at the connection point between the optical fibers in the fiber matrix, and when any fiber in the fiber matrix is displaced, the corresponding fiber sensor captures the displacement change.
[0027] Specifically, an optical fiber matrix consists of multiple optical fibers arranged in a specific geometric pattern (such as a two-dimensional or three-dimensional grid). The connection points between the fibers are the installation locations for optical fiber sensors, which can detect the relative displacement between the fibers. The optical fiber sensor array employs fiber Bragg grating (FBG) sensors or long-period fiber grating (LPG) sensors, which convert displacement changes into changes in optical signals. The optical fiber sensors are installed at the connection points between the fibers in the optical fiber matrix, enabling real-time detection of minute displacement changes between the fibers. This implementation, by installing optical fiber sensors at the connection points of the optical fiber matrix, achieves comprehensive monitoring of the entire optical fiber matrix, improving the coverage and accuracy of displacement detection.
[0028] The operating environment information acquisition module 20 is used to acquire the operating environment information of the fiber optic matrix in real time.
[0029] Specifically, environmental sensors are installed around the fiber optic matrix, including temperature sensors (such as thermistors or semiconductor temperature sensors), humidity sensors (such as capacitive humidity sensors), and pressure sensors (such as piezoelectric pressure sensors), to collect real-time information about the fiber optic matrix's operating environment. A data acquisition card (DAQ) is used to convert the analog signals from the sensors into digital signals and transmit them to the data processing unit via wired or wireless communication.
[0030] For example, a thermistor's resistance changes with temperature, and temperature information can be obtained by measuring the resistance value. Similarly, a capacitive humidity sensor's capacitance changes with humidity, and humidity information can be obtained by measuring the capacitance value.
[0031] The factor decomposition module 30 is used to decompose the micro-displacement data into external environmental factors and internal fiber factors based on the operating environment information, and to construct external environmental compensation parameters and internal fiber compensation parameters.
[0032] Specifically, the system receives micro-displacement data and operating environment information. Mathematical models and algorithms (such as least squares method and Kalman filtering) are used to process the micro-displacement data and operating environment information, decomposing external environmental factors and internal fiber optic factors. Based on the decomposition results, external environment compensation parameters and internal fiber optic compensation parameters are constructed.
[0033] For example, the relationship between micro-displacement data and environmental information can be fitted using the least squares method to obtain the contributions of external environmental factors and fiber internal factors. The compensation parameters can then be dynamically adjusted using a Kalman filter algorithm to adapt to environmental changes.
[0034] In one possible implementation, the factor decomposition module includes: an external displacement compensation relationship construction unit, used to construct an external displacement compensation relationship between displacement and environmental factors based on the operating environment information; a displacement segmentation unit, used to segment the micro-displacement data under the influence of internal factors using the external displacement compensation relationship to generate internal micro-displacement data; an external environment compensation control analysis unit, used to perform external environment compensation control analysis using the external displacement compensation relationship to generate the external environment compensation parameters; and an internal fiber optic compensation control analysis unit, used to perform compensation control analysis of the micro-motion platform using the internal micro-displacement data to generate the internal fiber optic compensation parameters.
[0035] Specifically, statistical analysis methods and machine learning algorithms, such as linear regression, support vector machines (SVM), or neural networks, are used to construct the external displacement compensation relationship between displacement and environmental factors based on operating environment information (such as temperature, humidity, and pressure). In detail, a large amount of operating environment information and corresponding micro-displacement data are collected. Statistical analysis methods or machine learning algorithms are used to establish a mathematical model between displacement and environmental factors. Through model training, the external displacement compensation relationship is obtained.
[0036] Using the external displacement compensation relationship constructed above, the micro-displacement data is segmented to separate the displacement data affected by internal factors. For example, the micro-displacement data is input into the external displacement compensation relationship, and the displacement part affected by external environmental factors is obtained through model calculation. The displacement part affected by external environmental factors is subtracted from the total micro-displacement data to obtain the internal micro-displacement data.
[0037] Based on the external displacement compensation relationship, the external environmental compensation requirements are analyzed, and external environmental compensation parameters are generated. Specifically, the required compensation amount under current environmental conditions is calculated using the external displacement compensation relationship. Based on the compensation requirements, external environmental compensation parameters are generated. These parameters are then transmitted to the environmental regulator for real-time compensation.
[0038] Based on internal micro-displacement data, the internal fiber optic compensation requirements are analyzed, and internal fiber optic compensation parameters are generated. Specifically, the compensation requirements under the current fiber optic condition are calculated using the internal micro-displacement data. Based on these requirements, internal fiber optic compensation parameters are generated. These parameters are then transmitted to a micro-motion platform for real-time compensation. This approach, through statistical analysis and machine learning algorithms, can accurately establish the relationship between displacement and environmental factors, improving the accuracy of compensation. Furthermore, it can accurately separate displacement data influenced by internal factors, providing a precise data foundation for subsequent internal compensation.
[0039] In one possible implementation, the external displacement compensation relationship construction unit includes: an optical fiber material information acquisition subunit, used to acquire optical fiber material information in the optical fiber matrix; a micro-displacement testing subunit, used to perform micro-displacement testing under environmental change conditions based on the optical fiber material information, and generate environment-micro-displacement test data; a relationship modeling subunit, used to model the relationship between various environmental factors and micro-displacement using the environment-micro-displacement test data, and generate an environment-micro-displacement relationship model; and an external displacement compensation relationship generation subunit, used to call the environment-micro-displacement relationship model to analyze the operating environment information and generate the external displacement compensation relationship.
[0040] Specifically, material information of the optical fibers in the fiber matrix is collected through sensors or manual input, such as fiber type (e.g., single-mode fiber, multimode fiber), refractive index, and coefficient of thermal expansion. In particular, material property sensors are installed on each fiber in the fiber matrix, or fiber material information is obtained through laboratory testing. The collected material information is stored in a database for subsequent analysis. For example, the fiber type is single-mode fiber with a refractive index of 1.46 and a coefficient of thermal expansion of 5 × 10⁻⁶. -7 K -1 .
[0041] Micro-displacement tests are performed on the fiber optic matrix under different environmental conditions (such as different temperatures, humidity levels, and pressures) to generate environmental-micro-displacement test data. Specifically, the fiber optic matrix is placed in a test chamber with a controlled environment. The environmental conditions of the test chamber are changed (e.g., temperature changes from 20°C to 30°C, humidity changes from 40% to 60%). Micro-displacement data is acquired in real time using a fiber optic sensor array. The micro-displacement data under different environmental conditions are recorded to generate environmental-micro-displacement test data.
[0042] Using statistical analysis methods and machine learning algorithms (such as linear regression, support vector machines, and neural networks), this study establishes relationship models between various environmental factors and micro-displacement based on environmental-micro-displacement test data. Specifically, the environmental-micro-displacement test data is input into the modeling algorithm, which is then used to train the model, generating an environmental-micro-displacement relationship model. The accuracy and reliability of the model are verified, and necessary adjustments and optimizations are made.
[0043] The system utilizes an environment-micro-displacement relationship model to analyze real-time operating environment information and generate external displacement compensation relationships. Specifically, it collects real-time operating environment information of the fiber optic matrix, inputs this information into the environment-micro-displacement relationship model, and the model outputs external displacement compensation relationships for subsequent compensation control. This approach improves the system's compensation accuracy and enhances its environmental adaptability and dynamic compensation capabilities through precise acquisition of fiber optic material information, micro-displacement testing under changing environmental conditions, relationship modeling, and generation of external displacement compensation relationships. By accurately understanding and compensating for the impact of external environmental factors on the micro-displacement of the fiber optic matrix, the system ensures stable operation of the fiber optic matrix in various complex environments, making it suitable for applications such as high-precision measurement and precision control.
[0044] In one possible implementation, the environment-micro-displacement relationship model includes the influence relationship between various environmental factors and micro-displacement, and the various environmental factors include at least temperature, humidity and airflow changes.
[0045] Specifically, the environment-micro-displacement relationship model not only considers the influence of temperature and humidity on micro-displacement but also introduces airflow changes as an environmental factor. For example, micro-displacement data of the fiber optic matrix are recorded under conditions where the temperature changes from 20°C to 30°C, humidity from 40% to 60%, and airflow velocity from 0 m / s to 2 m / s. Based on the environment-micro-displacement test data, a relationship model between various environmental factors (temperature, humidity, airflow changes) and micro-displacement is established. This approach, by considering multiple environmental factors such as temperature, humidity, and airflow changes, allows the model to more comprehensively describe the influence of the external environment on the micro-displacement of the fiber optic matrix, improving the accuracy and reliability of compensation.
[0046] In one possible implementation, the displacement segmentation unit includes: an external micro-displacement data extraction subunit, used to extract displacement under the influence of external environmental factors based on the external displacement compensation relationship, and generate external micro-displacement data; and a data calculation subunit, used to subtract the external micro-displacement data from the micro-displacement data to generate the internal micro-displacement data.
[0047] Specifically, real-time environmental information (such as temperature, humidity, and airflow changes) is input into the external displacement compensation relationship, outputting the displacement portion influenced by external environmental factors, i.e., external micro-displacement data. The total micro-displacement data is obtained, and the external micro-displacement data is subtracted from it to obtain the internal micro-displacement data. This implementation method, through the external displacement compensation relationship, can accurately extract the displacement portion influenced by external environmental factors. Through a simple subtraction operation, the internal micro-displacement data is separated from the total micro-displacement data, ensuring its accuracy and reliability. By accurately separating the external and internal micro-displacement data, the system can more accurately compensate for the influence of both external environmental factors and internal fiber optic factors, improving overall compensation accuracy.
[0048] The compensation module 40 is used to control the environmental regulator to perform external environmental compensation with the external environmental compensation parameters, and to control the micro-motion platform to perform internal parameter compensation with the internal fiber optic compensation parameters.
[0049] Specifically, it receives external environmental compensation parameters and internal fiber optic compensation parameters, and uses environmental regulators such as heaters, coolers, humidifiers, and dehumidifiers to adjust the operating environment of the fiber optic matrix according to the external environmental compensation parameters. It also uses micro-motion platforms such as piezoelectric ceramic actuators and electromagnetic actuators to adjust the internal parameters of the fiber optic matrix according to the internal fiber optic compensation parameters.
[0050] For example, heaters and coolers are used to adjust the temperature around the fiber matrix according to external environmental compensation parameters. Piezoelectric ceramic actuators are used to adjust the micro-displacement of the fiber matrix according to internal fiber compensation parameters.
[0051] In one possible implementation, the environmental conditioner includes regulating devices for adjusting temperature, humidity, and airflow, and the micro-motion platform includes a platform body, a drive structure, and a transmission mechanism.
[0052] Specifically, the temperature control device uses heaters and coolers to regulate the temperature around the fiber optic matrix. The humidity control device uses humidifiers and dehumidifiers to regulate the humidity around the fiber optic matrix. The airflow control device uses fans and an air duct system to regulate the airflow speed and direction around the fiber optic matrix.
[0053] The platform body provides a stable base for mounting the fiber optic matrix and other related equipment. For example, the platform body uses high-rigidity materials to ensure installation stability and reliability. The drive structure uses piezoelectric ceramic actuators or electromagnetic actuators to generate precise micro-displacements. The transmission mechanism employs a precision mechanical transmission system to transmit the motion of the drive structure to the fiber optic matrix, achieving precise displacement adjustment. For example, the transmission mechanism uses a high-precision gear transmission system to ensure accurate motion transmission. This implementation, through the integration of multiple adjustment devices, can precisely control the temperature, humidity, and airflow around the fiber optic matrix, ensuring the stability and consistency of the external environment. Through the coordinated work of the platform body, drive structure, and transmission mechanism, high-precision micro-displacement adjustment can be achieved. The environmental regulator and micro-motion platform can respond in real time to changes in compensation parameters, ensuring stable operation of the system in dynamic environments.
[0054] In one possible implementation, the system further includes: an output signal status monitoring module for monitoring the output signal status of the fiber optic matrix; a compensation effectiveness judgment module for judging the effectiveness of micro-displacement compensation based on the output signal status and generating error information based on the judgment result; and a compensation strategy update module for updating the compensation strategy based on the error information and feeding back the updated compensation strategy to the environmental regulator and the micro-motion platform.
[0055] Specifically, high-precision signal monitoring equipment, such as oscilloscopes and spectrum analyzers, is used to monitor the output signal status of the fiber optic matrix in real time. In other words, signal monitoring equipment is installed and connected to the output end of the fiber optic matrix. The output signal, including parameters such as signal strength, frequency, and phase, is acquired in real time. The acquired signal status data is then transmitted to the data processing unit.
[0056] Based on the output signal state, the effectiveness of compensation is judged using a preset threshold or model. If the output signal state does not meet expectations, error information is generated, indicating that the compensation strategy needs adjustment. For example, suppose the preset threshold is an intensity of 100mW, a frequency of 1550nm, and a phase of 0 degrees. If the actual output signal intensity is 95mW, the frequency is 1550nm, and the phase is 0 degrees, error information is generated, indicating insufficient intensity. Based on the error information, the compensation strategy is updated using optimization algorithms (such as gradient descent, genetic algorithms, etc.), and the updated compensation strategy is fed back to the environmental regulator and micro-motion platform for real-time adjustment. This implementation method, through a closed-loop control mechanism of monitoring, judgment, and updating, enables the system to continuously optimize the compensation strategy and ensure the stable operation of the fiber optic matrix in various complex environments.
[0057] In one possible implementation, the output signal state includes at least optical power, alignment error, and insertion loss.
[0058] Specifically, an optical power meter is used to monitor the optical power at the output of the fiber optic matrix in real time. High-precision alignment detection equipment, such as a laser alignment instrument, is used to monitor the alignment error of the fiber optic matrix. An insertion loss tester is used to monitor the insertion loss of the fiber optic matrix. By monitoring the optical power, the output light intensity of the fiber optic matrix is ensured to meet expectations, improving the stability and reliability of the system. By monitoring the alignment error, the alignment accuracy of the fiber optic matrix is ensured, reducing signal loss caused by misalignment. By monitoring the insertion loss, the transmission efficiency of the fiber optic matrix is ensured, improving the overall performance of the system.
[0059] For example, suppose the preset thresholds are optical power 100mW, alignment error 0.1 degrees, and insertion loss 0.5dB. If the actual measured values are optical power 95mW, alignment error 0.2 degrees, and insertion loss 0.6dB, then error information will be generated, indicating that the optical power is less than 5mW, the alignment error exceeds 0.1 degrees, and the insertion loss exceeds 0.1dB.
[0060] This application embodiment uses a fiber optic sensor array to continuously acquire micro-displacement data of the fiber optic matrix, while simultaneously acquiring real-time operating environment information. Based on the operating environment information, the micro-displacement data is decomposed to construct external environment compensation parameters and internal fiber optic compensation parameters. The external environment compensation parameters are used to control the environmental regulator compensation, and the internal fiber optic compensation parameters are used to control the micro-motion platform compensation. These technical means solve the technical problem of inaccurate compensation in existing fiber optic matrix displacement compensation, and achieve the technical effect of improving the accuracy of displacement compensation.
[0061] In the above text, refer to Figure 1 A fiber optic matrix micro-displacement compensation system according to an embodiment of the present invention has been described in detail. Next, reference will be made to... Figure 2 A fiber optic matrix micro-displacement compensation method according to an embodiment of the present invention is described.
[0062] The fiber optic matrix micro-displacement compensation method according to embodiments of the present invention is used to solve the technical problem of inaccurate compensation in existing fiber optic matrix displacement compensation, thereby achieving the technical effect of improving the accuracy of displacement compensation.
[0063] The fiber optic matrix micro-displacement compensation method includes: continuously acquiring micro-displacement data of the fiber optic matrix using a fiber optic sensor array; acquiring the operating environment information of the fiber optic matrix in real time; decomposing the micro-displacement data into external environmental factors and internal fiber optic factors based on the operating environment information, and constructing external environmental compensation parameters and internal fiber optic compensation parameters; controlling an environmental regulator to perform external environmental compensation using the external environmental compensation parameters, and controlling a micro-motion platform to perform internal parameter compensation using the internal fiber optic compensation parameters.
[0064] The fiber optic matrix is a structure composed of multiple optical fibers arranged in an array; the fiber optic sensor array is a sensing network composed of multiple fiber optic sensors; each fiber optic sensor in the fiber optic sensor array is located at the connection point between the optical fibers in the fiber optic matrix, and when any fiber in the fiber optic matrix is displaced, the corresponding fiber optic sensor captures the displacement change.
[0065] The process of decomposing the micro-displacement data into external environmental factors and internal fiber optic factors based on the operating environment information, and constructing external environmental compensation parameters and internal fiber optic compensation parameters, may further include: constructing an external displacement compensation relationship between displacement and environmental factors based on the operating environment information; segmenting the micro-displacement data under the influence of internal factors using the external displacement compensation relationship to generate internal micro-displacement data; performing external environmental compensation control analysis using the external displacement compensation relationship to generate the external environmental compensation parameters; and performing compensation control analysis of the micro-motion platform using the internal micro-displacement data to generate the internal fiber optic compensation parameters.
[0066] The process of constructing an external displacement compensation relationship between displacement and environmental factors based on the operating environment information may further include: collecting fiber material information in the fiber matrix; conducting micro-displacement tests under environmental change conditions based on the fiber material information to generate environment-micro-displacement test data; modeling the relationship between various environmental factors and micro-displacement using the environment-micro-displacement test data to generate an environment-micro-displacement relationship model; and analyzing the operating environment information using the environment-micro-displacement relationship model to generate the external displacement compensation relationship.
[0067] The environment-micro-displacement relationship model includes the influence relationship between various environmental factors and micro-displacement, and the various environmental factors include at least temperature, humidity and airflow changes.
[0068] The step of segmenting the micro-displacement data under the influence of internal factors using the external displacement compensation relationship to generate internal micro-displacement data may further include: extracting displacement under the influence of external environmental factors based on the external displacement compensation relationship to generate external micro-displacement data; and subtracting the external micro-displacement data from the micro-displacement data to generate the internal micro-displacement data.
[0069] The environmental conditioner includes a regulating device for adjusting temperature, humidity and airflow, and the micro-motion platform includes a platform body, a drive structure and a transmission mechanism.
[0070] The method further includes: controlling the environmental regulator to perform external environmental compensation using the external environmental compensation parameters, and controlling the micro-motion platform to perform internal parameter compensation using the internal fiber optic compensation parameters; monitoring the output signal status of the fiber optic matrix; determining the effectiveness of micro-displacement compensation based on the output signal status, and generating error information based on the determination result; updating the compensation strategy based on the error information, and feeding back the updated compensation strategy to the environmental regulator and the micro-motion platform.
[0071] The output signal state includes at least optical power, alignment error, and insertion loss.
[0072] The fiber optic matrix micro-displacement compensation system provided in the embodiments of the present invention can execute the fiber optic matrix micro-displacement compensation method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the method.
[0073] Although this application makes various references to certain modules in the system according to the embodiments of this application, any number of different modules can be used and run on user terminals and / or servers. The various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of each functional unit are only for easy distinction between each other and are not used to limit the scope of protection of this invention.
[0074] The specific embodiments described above do not constitute a limitation on the scope of protection of this application. Those skilled in the art should understand that various modifications, combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this application should be included within the scope of protection of this application. In some cases, the actions or steps described in this application can be performed in a different order than that shown in the embodiments and still achieve the desired results. Furthermore, the processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
Claims
1. A fiber optic matrix micro-displacement compensation system, characterized in that, include: The micro-displacement data acquisition module is used to continuously acquire micro-displacement data of the fiber optic matrix using a fiber optic sensor array. The operating environment information acquisition module is used to collect the operating environment information of the fiber optic matrix in real time. The factor decomposition module is used to decompose the micro-displacement data into external environmental factors and internal fiber factors based on the operating environment information, and to construct external environmental compensation parameters and internal fiber compensation parameters. The compensation module is used to control the environmental regulator to perform external environmental compensation with the external environmental compensation parameters, and to control the micro-motion platform to perform internal parameter compensation with the internal fiber optic compensation parameters.
2. The fiber optic matrix micro-displacement compensation system as described in claim 1, characterized in that, The fiber optic matrix is a structure composed of multiple optical fibers arranged in an array; the fiber optic sensor array is a sensing network composed of multiple fiber optic sensors. In this configuration, each fiber optic sensor in the fiber optic sensor array is located at the connection point between the fibers in the fiber optic matrix. When any fiber in the fiber optic matrix is displaced, the corresponding fiber optic sensor captures the displacement change.
3. The fiber optic matrix micro-displacement compensation system as described in claim 1, characterized in that, The factor decomposition module includes: An external displacement compensation relationship construction unit is used to construct an external displacement compensation relationship between displacement and environmental factors based on the operating environment information. The displacement segmentation unit is used to segment the micro-displacement data under the influence of internal factors based on the external displacement compensation relationship, and generate internal micro-displacement data. An external environment compensation control analysis unit is used to perform external environment compensation control analysis based on the external displacement compensation relationship and generate the external environment compensation parameters. An internal fiber optic compensation control and analysis unit is used to perform compensation control analysis on the micro-motion platform using the internal micro-displacement data, and to generate the internal fiber optic compensation parameters.
4. The fiber optic matrix micro-displacement compensation system as described in claim 3, characterized in that, The external displacement compensation relationship construction unit includes: The optical fiber material information acquisition subunit is used to acquire optical fiber material information in the optical fiber matrix. The micro-displacement testing subunit is used to perform micro-displacement testing under environmental change conditions based on the optical fiber material information, and generate environmental-micro-displacement test data. The relationship modeling subunit is used to model the relationship between various environmental factors and micro-displacement based on the environment-micro-displacement test data, and generate an environment-micro-displacement relationship model. The external displacement compensation relationship generation subunit is used to call the environment-micro-displacement relationship model to analyze the operating environment information and generate the external displacement compensation relationship.
5. The fiber optic matrix micro-displacement compensation system as described in claim 4, characterized in that, The environment-micro-displacement relationship model includes the influence relationship between various environmental factors and micro-displacement. These environmental factors include at least temperature, humidity, and airflow changes.
6. The fiber optic matrix micro-displacement compensation system as described in claim 3, characterized in that, The displacement segmentation unit includes: The external micro-displacement data extraction subunit is used to extract displacement under the influence of external environmental factors based on the external displacement compensation relationship, and generate external micro-displacement data. The data calculation subunit is used to generate the internal micro-displacement data by subtracting the external micro-displacement data from the micro-displacement data.
7. The fiber optic matrix micro-displacement compensation system as described in claim 1, characterized in that, The environmental conditioner includes a regulating device for adjusting temperature, humidity and airflow, and the micro-motion platform includes a platform body, a drive structure and a transmission mechanism.
8. The fiber optic matrix micro-displacement compensation system as described in claim 1, characterized in that, The system also includes: An output signal status monitoring module is used to monitor the output signal status of the fiber optic matrix; The compensation effectiveness judgment module is used to judge the effectiveness of micro-displacement compensation based on the output signal state and generate error information based on the judgment result. The compensation strategy update module is used to update the compensation strategy based on the error information and feed the updated compensation strategy back to the environmental regulator and the micro-motion platform.
9. The fiber optic matrix micro-displacement compensation system as described in claim 8, characterized in that, The output signal status includes at least optical power, alignment error, and insertion loss.
10. A method for micro-displacement compensation of an optical fiber matrix, characterized in that, The method is implemented by the fiber optic matrix micro-displacement compensation system according to any one of claims 1-9, and the method includes: Continuous acquisition of micro-displacement data of fiber optic matrix using fiber optic sensor array; Real-time acquisition of the operating environment information of the fiber optic matrix; Based on the operating environment information, the micro-displacement data is decomposed into external environmental factors and internal fiber factors to construct external environmental compensation parameters and internal fiber compensation parameters. The external environment compensation parameters are used to control the environmental regulator to perform external environment compensation, and the internal fiber optic compensation parameters are used to control the micro-motion platform to perform internal parameter compensation.
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