A clamping force self-adaptive calibration method of a non-invasive mini optical power meter and a non-invasive mini optical power meter
Patent Information
- Application Number
- CN202611464096.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-09-20
- Publication Date
- 2026-10-27
AI Technical Summary
(1)、测量精准(核心优势):创新性地引入“夹持力自适应校准”方法。通过实时监测夹持力并动态补偿光功率读数,有效解决了因手持力度不一导致的测量误差问题,实现了工程级的定量测量。
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Figure CN122993818A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of optical fiber communication operation and maintenance testing technology, and in particular to a non-invasive mini optical power meter clamping force adaptive calibration method and a non-invasive mini optical power meter. Background Technology
[0002] Currently, in the routine inspection and maintenance of power communication optical cable links, non-invasive optical power meters are commonly used to detect the optical signal strength in the optical fiber. This type of optical power meter utilizes the principle of optical fiber macro-bend leakage to obtain the leaked optical signal for measurement without cutting the optical fiber or interrupting the service. This avoids the service interruption risk and operational inconvenience caused by the need to disconnect the optical fiber and plug and unplug the connectors required by traditional invasive optical power meters.
[0003] However, existing non-invasive optical power meters have serious drawbacks in practical engineering applications: the light energy leaked from macrobends is closely related to the bending radius and clamping force of the optical fiber. Differences in grip strength among different users during handheld operation, as well as the aging of the clamping mechanism, can lead to inconsistent clamping forces on the optical fiber, resulting in significant fluctuations in the optical power reading and substantial measurement errors. Therefore, existing equipment can typically only serve as a qualitative tool for determining the presence or absence of light, and cannot meet the accuracy requirements of quantitative measurements at the engineering level.
[0004] Therefore, existing technologies still need to be improved and developed. Summary of the Invention
[0005] The main objective of this invention is to provide a non-invasive mini optical power meter with an adaptive clamping force calibration method and a non-invasive mini optical power meter, aiming to solve the problem that the non-invasive optical power meter in the prior art has large measurement errors and cannot perform quantitative tests due to the inconsistent clamping force.
[0006] The first aspect of this invention provides a non-invasive mini optical power meter clamping force adaptive calibration method, the non-invasive mini optical power meter clamping force adaptive calibration method comprising the following steps: When the clamping mechanism of the non-invasive mini optical power meter clamps the optical fiber under test and causes the optical fiber to bend macroscopically to leak optical signals, the real-time clamping force data applied to the optical fiber under test is collected by the pressure sensing unit of the non-invasive mini optical power meter, and the original optical power data corresponding to the leaked optical signal is collected by the optical detection unit of the non-invasive mini optical power meter. A correlation model between different clamping forces and corresponding calibration factors is established in advance through calibration experiments, and the correlation model is stored in the memory of the non-invasive mini optical power meter. The correlation model is used to reflect the mapping relationship between real-time clamping force and optical power attenuation compensation. When performing on-site measurements, the calibration points adjacent to the real-time clamping force data are queried from the association model based on the real-time clamping force data, and the corresponding calibration factors are obtained based on the queried calibration points. The original optical power data is compensated and corrected according to the calibration factor to offset the optical power attenuation error caused by the change in clamping force, so as to obtain the calibrated standard optical power value, and the standard optical power value is output through the display module of the non-invasive mini optical power meter.
[0007] Optionally, in one embodiment of the present invention, the step of acquiring real-time clamping force data applied to the optical fiber under test through the pressure sensing unit of the non-invasive mini optical power meter specifically includes: The pressure sensing unit acquires the pressure electrical signal applied to the optical fiber under test during the clamping process. The signal processing unit of the non-invasive mini optical power meter receives the pressure signal and converts it into real-time clamping force data.
[0008] Optionally, in one embodiment of the present invention, the step of establishing a correlation model between different clamping forces and corresponding calibration factors through prior calibration experiments specifically includes: A standard light source is used to output an optical signal to a standard optical fiber at constant power. The standard optical fiber is clamped under multiple preset clamping forces, and the optical power value detected by the optical detection module is measured under each preset clamping force. The optical power attenuation corresponding to each preset clamping force is calculated based on the constant power and each optical power value. The correlation model is constructed based on the preset clamping force and the corresponding optical power attenuation.
[0009] Optionally, in one embodiment of the present invention, obtaining the corresponding calibration factor based on the queried calibration point specifically includes: If among the queried calibration points, there exists a calibration point that is equal to the real-time clamping force data, then the calibration factor corresponding to the calibration point is used as the calibration factor corresponding to the real-time clamping force data. If none of the calibration points found are equal to the real-time clamping force data, then the calibration factors corresponding to the two calibration points adjacent to the real-time clamping force data are interpolated, and the interpolation results are used as the calibration factors corresponding to the real-time clamping force data.
[0010] Optionally, in one embodiment of the present invention, the formula for interpolating the calibration factors corresponding to the two calibration points adjacent to the real-time clamping force data is as follows: ; in, For real-time clamping force data, , These are the clamping force values corresponding to two calibration points adjacent to the real-time clamping force data, respectively. , for , The corresponding calibration factors, This is the calibration factor corresponding to the real-time clamping force data.
[0011] Optionally, in one embodiment of the present invention, the step of compensating and correcting the original optical power data according to the calibration factor to offset the optical power attenuation error caused by the change in clamping force, and obtaining the calibrated standard optical power value, specifically involves: The original optical power data is summed with the calibration factor to compensate for the optical power attenuation caused by the change in clamping force in the original optical power data, thus obtaining the calibrated standard optical power value.
[0012] Optionally, in one embodiment of the present invention, the association model is a lookup table, the lookup table includes multiple calibration points, each calibration point corresponds to a clamping force value and a calibration factor; The step of querying the calibration point adjacent to the real-time clamping force data from the association model also includes: Determine whether the real-time clamping force data is within the clamping force value range of the lookup table; If the real-time clamping force data is less than the minimum clamping force value in the lookup table, then the calibration factor corresponding to the minimum clamping force value is used as the calibration factor corresponding to the real-time clamping force data. If the real-time clamping force data is greater than the maximum clamping force value in the lookup table, then the calibration factor corresponding to the maximum clamping force value is used as the calibration factor corresponding to the real-time clamping force data.
[0013] A second aspect of the present invention also provides a non-invasive mini optical power meter for implementing the clamping force adaptive calibration method of the non-invasive mini optical power meter described in any of the above-described solutions, wherein the non-invasive mini optical power meter comprises: A clamping mechanism is used to clamp the optical fiber under test and cause the optical fiber under test to undergo macro-bending to leak optical signals. A pressure sensing unit is disposed on the clamping mechanism and is used to collect real-time clamping force data applied to the optical fiber under test during the clamping process; An optical detection unit is disposed at the leakage optical signal receiving position of the clamping mechanism, used to collect the leakage optical signal of the optical fiber under test and convert the optical signal into raw optical power data; A memory is connected to the pressure sensing unit and the light detection unit. The memory stores a correlation model between different clamping forces and corresponding calibration factors, which is established in advance through calibration experiments. The correlation model is used to reflect the mapping relationship between real-time clamping force and optical power attenuation compensation. A signal processing unit, connected to the pressure sensing unit, the light detection unit, and the memory, is used to receive the real-time clamping force data and the raw optical power data, and to query the calibration points adjacent to the real-time clamping force data from the association model based on the real-time clamping force data, to obtain the corresponding calibration factor based on the queried calibration points, and to compensate and correct the raw optical power data based on the calibration factor to offset the optical power attenuation error caused by the change in clamping force, so as to obtain the calibrated standard optical power value. The display module is connected to the signal processing unit and is used to display the standard optical power value.
[0014] Optionally, in one embodiment of the present invention, the clamping mechanism includes a fixed clamping part and a movable clamping part, the fixed clamping part and the movable clamping part are disposed opposite to each other, and the movable clamping part moves relative to the fixed clamping part to clamp or release the optical fiber under test; The pressure sensing unit is disposed on the movable clamping part and is used to collect the pressure electrical signal applied to the optical fiber under test when the movable clamping part clamps the optical fiber under test, and transmit the pressure electrical signal to the signal processing unit. The signal processing unit receives the pressure electrical signal and converts the pressure electrical signal into the real-time clamping force data.
[0015] Optionally, in one embodiment of the present invention, the association model stored in the memory includes multiple association model sub-tables, each of the association model sub-tables corresponding to a fiber type, the fiber type including G.652.D single-mode fiber and G.657.A2 bend-resistant fiber; The signal processing unit is also used to obtain the fiber type of the fiber under test, and to call the associated model sub-table corresponding to the fiber type from the memory according to the fiber type, so as to query the calibration point adjacent to the real-time clamping force data from the called associated model sub-table.
[0016] Beneficial effects: This invention provides a non-invasive mini optical power meter with an adaptive clamping force calibration method and a non-invasive mini optical power meter. This invention dynamically obtains calibration factors by collecting clamping force data in real time and querying adjacent calibration points in a pre-stored correlation model, and compensates and corrects the original optical power reading. This effectively eliminates optical power measurement deviations caused by different operators or different clamping forces, enabling the non-invasive optical power meter to output accurate standard optical power values, realizing engineering-level quantitative measurement. At the same time, operators do not need to master specific skills to complete accurate testing, greatly improving user experience and equipment practicality. Attached Figure Description
[0017] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0018] Figure 1 This is a perspective view of the clamping mechanism in the non-invasive mini optical power meter of the present invention; Figure 2 This is a structural diagram showing the relative positions of the constant force spring and the mechanical limiting block in another preferred embodiment of the non-invasive mini optical power meter of the present invention; Figure 3 This is a flowchart of a preferred embodiment of the clamping force adaptive calibration method for the non-invasive mini optical power meter of the present invention; Figure 4 This is a schematic diagram illustrating the specific implementation steps of the clamping force adaptive calibration method for the non-invasive mini optical power meter of the present invention. Detailed Implementation
[0019] To make the objectives, technical solutions, and effects of this invention clearer and more explicit, the technical solutions in the embodiments of this invention will be clearly and completely described below with reference to the accompanying drawings. The described embodiments are merely possible technical implementations of this invention and not all possible implementations. Based on the embodiments of this invention, those skilled in the art can obtain other embodiments without creative effort, and these embodiments are also within the protection scope of this invention.
[0020] First, the terms used in the embodiments of this invention will be introduced: FC, Ferrule Connector, Fiber Optic Connector (Plug-in). UPC, Ultra Physical Contact (fiber optic connector end face polishing method). SC, Subscriber Connector (Fiber Optic Connector Type); PC, Physical Contact, refers to the polishing method of the fiber optic connector end face. LUT, Look-Up Table; MCU, Microcontroller Unit.
[0021] In the daily inspection and maintenance of power communication optical cable links, maintenance personnel need to quickly detect the optical signal strength in the optical fiber to determine whether the link is normal. Currently, commonly used optical power meters are mainly "invasive," meaning the optical fiber needs to be disconnected and the connector of the optical patch cord (such as FC / UPC, SC / PC, etc.) inserted into the optical power meter's interface for measurement. This method has the following disadvantages: 1. Cumbersome operation and low efficiency: Pluging and unplugging connectors is extremely inconvenient in confined distribution cabinets or outdoor fiber distribution boxes. 2. Risk of service interruption: Disconnecting the optical fiber will cause a momentary interruption of communication services, which is unacceptable (or requires extremely high coordination costs) for critical services such as power communication. 3. Increased loss and potential for failure: Frequent plugging and unplugging can easily lead to contamination or wear of the connector end face, introducing additional insertion loss.
[0022] While some "non-invasive" optical power meters exist (utilizing the principle of fiber macro-bend leakage), they generally suffer from the following fatal flaws, making them difficult to promote in engineering measurements: 1. Large measurement error: The light energy leaked from the macro-bend is closely related to the bending radius of the fiber. During handheld operation, due to differences in grip strength between different people or the aging of the clamping mechanism, the clamping force and bending radius on the fiber are inconsistent, resulting in huge fluctuations in the optical power reading. It can often only be used as a qualitative judgment of "presence or absence of light," and cannot be used for quantitative measurement. 2. Highly affected by the environment: Strong outdoor light can interfere with the detection of weak leakage light. 3. Lack of specificity: Existing equipment is mostly general-purpose and lacks optimized design for power inspection scenarios (such as high-voltage insulation and portability).
[0023] The adaptive calibration method of the present invention can automatically calibrate the reading according to the clamping force by real-time monitoring of the clamping force and dynamic compensation of the optical power reading, without damaging the optical fiber link and making it a portable mini optical power meter.
[0024] This invention solves the problem that existing non-invasive optical power meters have large measurement errors and cannot perform quantitative tests due to inconsistent clamping force. Specifically, it can dynamically compensate for optical power readings based on real-time clamping force, thereby eliminating measurement errors caused by differences in operator feel and achieving accurate and reliable engineering-grade optical power measurement.
[0025] The technical solution of the present invention will be described in detail below with reference to specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments.
[0026] The non-invasive mini optical power meter described in the preferred embodiment of the present invention is used to implement an adaptive calibration method for the clamping force of a non-invasive mini optical power meter. For example... Figure 1 As shown, the non-invasive mini optical power meter includes: A clamping mechanism is used to clamp the optical fiber under test and cause the optical fiber under test to undergo macro-bending to leak optical signals. A pressure sensing unit is disposed on the clamping mechanism and is used to collect real-time clamping force data applied to the optical fiber under test during the clamping process; An optical detection unit is disposed at the leakage optical signal receiving position of the clamping mechanism, used to collect the leakage optical signal of the optical fiber under test and convert the optical signal into raw optical power data; A memory is connected to the pressure sensing unit and the light detection unit. The memory stores a correlation model between different clamping forces and corresponding calibration factors, which is established in advance through calibration experiments. The correlation model is used to reflect the mapping relationship between real-time clamping force and optical power attenuation compensation. A signal processing unit, connected to the pressure sensing unit, the light detection unit, and the memory, is used to receive the real-time clamping force data and the raw optical power data, and to query the calibration points adjacent to the real-time clamping force data from the association model based on the real-time clamping force data, to obtain the corresponding calibration factor based on the queried calibration points, and to compensate and correct the raw optical power data based on the calibration factor to offset the optical power attenuation error caused by the change in clamping force, so as to obtain the calibrated standard optical power value. The display module is connected to the signal processing unit and is used to display the standard optical power value.
[0027] Specifically, the clamping mechanism is used to clamp the optical fiber under test and cause it to undergo a macro-bend to leak optical signals. The clamping mechanism bends the optical fiber under test to a preset bending radius (e.g., 8.5 mm) through a mechanical structure, causing some optical signals to leak out of the optical fiber.
[0028] A pressure sensing unit is mounted on the clamping mechanism to collect real-time clamping force data applied to the optical fiber under test during the clamping process. The pressure sensing unit can be a miniature pressure sensor, and the amplitude of its output electrical signal is proportional to the magnitude of the clamping force.
[0029] An optical detection unit is positioned at the leakage optical signal receiving position of the clamping mechanism to collect the leakage optical signal of the optical fiber under test and convert the optical signal into raw optical power data. The optical detection unit can be a photodiode, which converts the optical signal into a current signal, then into a voltage signal through a transimpedance amplifier, and finally obtains the raw optical power data after analog-to-digital conversion.
[0030] The memory is connected to the pressure sensing unit and the optical detection unit. The memory stores a correlation model between different clamping forces and corresponding calibration factors, which was established in advance through calibration experiments. This correlation model is used to reflect the mapping relationship between the real-time clamping force and the optical power attenuation compensation.
[0031] The signal processing unit is connected to the pressure sensing unit, the optical detection unit, and the memory. It is used to receive real-time clamping force data and raw optical power data. Based on the real-time clamping force data, it queries the correlation model for calibration points adjacent to the real-time clamping force data. Based on the queried calibration points, it obtains the corresponding calibration factor and compensates and corrects the raw optical power data according to the calibration factor to offset the optical power attenuation error caused by the change in clamping force, and obtains the calibrated standard optical power value.
[0032] The display module is connected to the signal processing unit and is used to display the standard optical power value for users to read the measurement results.
[0033] Through the aforementioned hardware architecture, this invention enables the non-invasive mini optical power meter to automatically perform optical power detection and adaptive calibration without requiring additional user intervention, making it suitable for portable applications such as power communication inspection.
[0034] See Figure 1 For fiber clamping and signal acquisition, the user uses a non-invasive optical power meter to clamp the fiber under test 21. During clamping, a miniature pressure sensor 23 installed on the moving clamping part 22 monitors and acquires the clamping force applied to the fiber in real time. At the same time, the optical detection module 24 (such as a photodiode) detects the optical signal leaked from the fiber due to macrobending and converts it into the original optical power value.
[0035] See Figure 2 The clamping mechanism, through a constant force spring 31 and a mechanical limit block 32, ensures that the bending radius of the optical fiber is constant each time it is clamped. R Constant.
[0036] In one embodiment of the present invention, the clamping mechanism includes a fixed clamping part and a movable clamping part, the fixed clamping part and the movable clamping part are disposed opposite to each other, and the movable clamping part moves relative to the fixed clamping part to clamp or release the optical fiber under test; The pressure sensing unit is disposed on the movable clamping part and is used to collect the pressure electrical signal applied to the optical fiber under test when the movable clamping part clamps the optical fiber under test, and transmit the pressure electrical signal to the signal processing unit. The signal processing unit receives the pressure electrical signal and converts the pressure electrical signal into the real-time clamping force data.
[0037] Specifically, the clamping mechanism includes a fixed clamping part and a movable clamping part. The fixed clamping part and the movable clamping part are arranged opposite to each other, and the movable clamping part is movable relative to the fixed clamping part to clamp or release the optical fiber under test. In the clamping state, the optical fiber under test is clamped between the fixed clamping part and the movable clamping part.
[0038] A pressure sensing unit is mounted on the movable clamping part and is used to collect the pressure electrical signal applied to the optical fiber under test when the movable clamping part clamps the optical fiber under test. Since the pressure sensing unit is directly mounted on the movable clamping part, the pressure electrical signal it collects can accurately reflect the actual clamping force on the optical fiber. The pressure sensing unit transmits this pressure electrical signal to the signal processing unit.
[0039] After receiving the pressure electrical signal, the signal processing unit converts the analog pressure electrical signal into real-time clamping force data in digital form through an internal analog-to-digital conversion circuit, which is then used in the subsequent adaptive calibration process.
[0040] With the above-described structural layout, the pressure sensing unit is directly integrated into the moving clamping part of the clamping mechanism, realizing in-situ real-time detection of clamping force without the need for an additional force transmission mechanism. The structure is compact and the response is rapid, making it suitable for the design requirements of miniaturized portable devices.
[0041] In one embodiment of the present invention, the association model stored in the memory includes multiple association model sub-tables, each of which corresponds to a fiber type, including G.652.D single-mode fiber and G.657.A2 bend-resistant fiber; The signal processing unit is also used to obtain the fiber type of the fiber under test, and to call the associated model sub-table corresponding to the fiber type from the memory according to the fiber type, so as to query the calibration point adjacent to the real-time clamping force data from the called associated model sub-table.
[0042] Specifically, the association model stored in the memory includes multiple association model sub-tables, each corresponding to a specific fiber type. Since different types of fibers have different macro-bending loss characteristics (e.g., the bending loss curves of G.652.D standard single-mode fiber and G.657.A2 bend-resistant fiber differ significantly), to ensure measurement accuracy, separate association model sub-tables need to be established for each fiber type. In this embodiment, the fiber types include at least the G.652.D single-mode fiber and G.657.A2 bend-resistant fiber commonly used in power communication optical cables.
[0043] In the actual measurement process, the signal processing unit first obtains the fiber type of the optical fiber under test. The fiber type can be obtained manually by the user through the device input interface, or automatically by the device. Then, based on the obtained fiber type, the signal processing unit retrieves the corresponding association model sub-table from memory. Finally, the signal processing unit queries the retrieved association model sub-table for calibration points adjacent to the real-time clamping force data and calculates the corresponding calibration factor accordingly.
[0044] Through the aforementioned multi-model adaptation mechanism, the device can be calibrated using its own dedicated correlation model for different fiber types, avoiding measurement errors caused by using the same model across different types, and further improving the measurement accuracy and applicability of the device.
[0045] The preferred embodiment of the present invention describes a non-invasive mini optical power meter with an adaptive clamping force calibration method, such as... Figure 3 As shown, the clamping force adaptive calibration method for the non-invasive mini optical power meter includes the following steps: In step S10, when the clamping mechanism of the non-invasive mini optical power meter clamps the optical fiber under test and causes the optical fiber to bend macroscopically to leak optical signals, the real-time clamping force data applied to the optical fiber under test is collected by the pressure sensing unit of the non-invasive mini optical power meter, and the original optical power data corresponding to the leaked optical signal is collected by the optical detection unit of the non-invasive mini optical power meter.
[0046] In one possible implementation, the acquisition of real-time clamping force data applied to the optical fiber under test by the pressure sensing unit of the non-invasive mini optical power meter specifically includes: the pressure sensing unit acquiring pressure electrical signals applied to the optical fiber under test during the clamping process; and the signal processing unit of the non-invasive mini optical power meter receiving the pressure electrical signals and converting the pressure electrical signals into real-time clamping force data.
[0047] Specifically, when the moving clamping part grips the optical fiber under test, the pressure sensing unit collects the pressure electrical signal applied to the optical fiber during the clamping process. This pressure electrical signal is an analog signal, and its amplitude is proportional to the clamping force on the optical fiber. The pressure sensing unit transmits this pressure electrical signal to the signal processing unit. After receiving the pressure electrical signal, the signal processing unit samples and quantizes the pressure electrical signal through its built-in analog-to-digital converter, converting it into real-time clamping force data that can be digitally processed. Through the above process, the device can accurately obtain the actual clamping force for each measurement, providing reliable input data for subsequent adaptive calibration.
[0048] like Figure 4 As shown, during the fiber clamping and signal acquisition process, the fiber under test is clamped by the clamping mechanism of a non-invasive optical power meter, causing it to undergo macro-bending to leak optical signals. At the same time, the real-time clamping force data applied to the fiber by the clamping mechanism during the clamping process, as well as the raw optical power data of the fiber leakage optical signal detected by the optical detection module, are collected.
[0049] Furthermore, the detailed logic for adaptive clamping force calibration is as follows: The correlation model is fitted using experimental data and characterizes the optical power attenuation coefficient of the optical fiber under different clamping forces (or bending depths). The specific calibration process is as follows: When the user presses the device to perform a measurement, the pressure detection module monitors the current clamping force. F The signal processing unit reads the raw values from the optical detection module at this time. The adaptive calibration module searches for the corresponding calibration factor in the correlation model based on F. k(F) The standard optical power value was calculated. = / k(F) or = +C(F) This eliminates errors caused by different application pressure.
[0050] In step S20, a correlation model between different clamping forces and corresponding calibration factors is established in advance through calibration experiments, and the correlation model is stored in the memory of the non-invasive mini optical power meter. The correlation model is used to reflect the mapping relationship between real-time clamping force and optical power attenuation compensation.
[0051] In one possible implementation, the step of establishing a correlation model between different clamping forces and corresponding calibration factors through pre-calibration experiments specifically includes: using a standard light source to output an optical signal to a standard optical fiber at constant power; clamping the standard optical fiber under multiple preset clamping forces and measuring the optical power value detected by the optical detection module under each preset clamping force; calculating the optical power attenuation corresponding to each preset clamping force based on the constant power and each optical power value; and constructing the correlation model based on each preset clamping force and the corresponding optical power attenuation.
[0052] Specifically, a calibrated standard light source is first used to output an optical signal to a standard optical fiber at a constant power. The output power of this standard light source is known and constant, serving as a reference value for subsequent attenuation calculations.
[0053] Then, the standard optical fiber is clamped under multiple preset clamping forces, and the detected optical power value is measured by the optical detection module under each preset clamping force. In this embodiment, 0.5N intervals are taken within the commonly used clamping force range (2.0N to 4.0N), and 0.25N intervals are taken within the boundary range (1.5N to 2.0N, 4.0N to 4.5N), for a total of 9 data points, to ensure that the interpolation error does not exceed 0.5dB in subsequent use. For the optical power value measured under each preset clamping force, the corresponding optical power attenuation under that clamping force is calculated based on the difference between the constant power and the measured value.
[0054] Finally, a correlation model is constructed based on each preset clamping force and its corresponding optical power attenuation. This correlation model includes multiple sets of mapping relationships between clamping forces and corresponding calibration factors, providing a data foundation for real-time calibration during on-site measurements.
[0055] See Figure 4 Establish a calibration model: In advance, through experiments, establish a correlation model between different clamping forces and the corresponding optical power attenuation coefficients, and store the correlation model in the memory of the non-invasive optical power meter.
[0056] Furthermore, regarding the establishment of the correlation model: the optical power value of the standard light source is determined by directly measuring the output power of the standard light source (e.g., the 1550nm band) using a calibrated invasive optical power meter (e.g., Agilent N7744A), with an accuracy within ±0.1dB; the fiber specifications used in the calibration experiment must be fixed, and correlation models should be established separately for commonly used fiber types in power communication (e.g., G.652.D single-mode fiber, G.657.A2 bend-resistant fiber) to avoid cross-type usage errors; the number of calibration data points and the interval of clamping force values must meet engineering accuracy requirements: 0.5N intervals are used in the commonly used clamping force range (2.0N-4.0N), and 0.25N intervals are used in the boundary ranges (1.5N-2.0N, 4.0N-4.5N), for a total of 9 data points, ensuring that the interpolation error is ≤0.5dB.
[0057] In step S30, when performing on-site measurements, the calibration points adjacent to the real-time clamping force data are queried from the association model based on the real-time clamping force data, and the corresponding calibration factors are obtained based on the queried calibration points.
[0058] In one possible implementation, obtaining the corresponding calibration factor based on the queried calibration points specifically includes: if there is a calibration point among the queried calibration points that is equal to the real-time clamping force data, then the calibration factor corresponding to the calibration point is used as the calibration factor corresponding to the real-time clamping force data; if there is no calibration point among the queried calibration points that is equal to the real-time clamping force data, then the calibration factors corresponding to the two calibration points adjacent to the real-time clamping force data are interpolated, and the result of the interpolation is used as the calibration factor corresponding to the real-time clamping force data.
[0059] Specifically, the signal processing unit queries the calibration points adjacent to the real-time clamping force data from the correlation model based on the real-time clamping force data, and then processes the results in two ways: In the first case, if there is a calibration point among the queried calibration points that is exactly equal to the real-time clamping force data, it means that the real-time clamping force value falls exactly on a preset clamping force data point of the calibration experiment. In this case, the signal processing unit directly uses the calibration factor corresponding to the calibration point as the calibration factor corresponding to the real-time clamping force data, without the need for additional calculation.
[0060] In the second scenario, if no calibration point matching the real-time clamping force data is found among the queried calibration points, it indicates that the real-time clamping force value lies between two adjacent preset calibration points. In this case, the signal processing unit interpolates the calibration factors corresponding to the two calibration points adjacent to the real-time clamping force data and uses the interpolation result as the calibration factor corresponding to the real-time clamping force data.
[0061] By differentiating between the two situations mentioned above, this invention ensures that the device can obtain a matching calibration factor regardless of whether the real-time clamping force value falls exactly on the calibration point, thereby guaranteeing the accuracy of the calibration results.
[0062] See Figure 4 Adaptive calibration: When the non-invasive optical power meter performs measurements, the corresponding calibration factor is obtained from the associated model based on the real-time clamping force data collected in step S10.
[0063] In one possible implementation, the formula for interpolating the calibration factors corresponding to the two calibration points adjacent to the real-time clamping force data is as follows: ; in, For real-time clamping force data, , These are the clamping force values corresponding to two calibration points adjacent to the real-time clamping force data, respectively. , for , The corresponding calibration factors, This is the calibration factor corresponding to the real-time clamping force data. If the real-time clamping force... If the value is outside the lookup table range, use boundary value substitution. Time to take , Time to take ).
[0064] Specifically, the signal processing unit acquires the clamping force values and corresponding calibration factors of two calibration points adjacent to the real-time clamping force data, and then calculates the calibration factor corresponding to the real-time clamping force data according to a linear interpolation formula. This linear interpolation method assumes a linear relationship between the clamping force and the calibration factor between adjacent data points, and calculates the calibration factor corresponding to any intermediate clamping force value through a proportional relationship, ensuring that the measurement accuracy meets engineering requirements.
[0065] In step S40, the original optical power data is compensated and corrected according to the calibration factor to offset the optical power attenuation error caused by the change in clamping force, so as to obtain the calibrated standard optical power value, and the standard optical power value is output through the display module of the non-invasive mini optical power meter.
[0066] In one possible implementation, the step of compensating and correcting the original optical power data according to the calibration factor to offset the optical power attenuation error caused by the change in clamping force, and obtaining a calibrated standard optical power value, specifically involves: summing the original optical power data with the calibration factor to compensate for the optical power attenuation caused by the change in clamping force in the original optical power data, thereby obtaining a calibrated standard optical power value.
[0067] Specifically, after the signal processing unit queries and calculates the calibration factor corresponding to the real-time clamping force data through the correlation model, it sums this calibration factor with the original optical power data. This calibration factor is a positive value, equal to the optical power attenuation caused by the clamping force deviating from the calibration reference. Through this summation, the optical power attenuation caused by the clamping force change in the original optical power data is compensated back into the original optical power data, making the compensated optical power value equivalent to the true optical power value under standard clamping force conditions. This summation directly cancels out the measurement error caused by the clamping force change, thus obtaining the calibrated standard optical power value.
[0068] See Figure 4 Output calibration results: Use the calibration factor to compensate and correct the raw optical power data collected in step S10 to obtain the calibrated standard optical power value, and display the standard optical power value.
[0069] Furthermore, regarding the output of the calibration results: the formula for the compensation correction is: = +Δ P ,in This is the calibrated standard optical power value. The original optical power value, Δ P This is a calibration factor obtained from the correlation model based on real-time clamping force data.
[0070] In one possible implementation, the association model is a lookup table, which contains multiple calibration points, each calibration point corresponding to a clamping force value and a calibration factor. Before querying the calibration point adjacent to the real-time clamping force data from the association model, the method further includes: determining whether the real-time clamping force data is within the clamping force value range of the lookup table; if the real-time clamping force data is less than the minimum clamping force value in the lookup table, then the calibration factor corresponding to the minimum clamping force value is used as the calibration factor corresponding to the real-time clamping force data; if the real-time clamping force data is greater than the maximum clamping force value in the lookup table, then the calibration factor corresponding to the maximum clamping force value is used as the calibration factor corresponding to the real-time clamping force data.
[0071] Specifically, the correlation model is implemented as a lookup table. This lookup table contains multiple calibration points, each corresponding to a clamping force value and a calibration factor. Before the signal processing unit queries adjacent calibration points from the correlation model, a boundary judgment process is first executed: The signal processing unit determines whether the real-time clamping force data is within the clamping force value range of the lookup table. If the real-time clamping force data is less than the minimum clamping force value in the lookup table, it indicates that the actual clamping force is lower than the minimum coverage range of the calibration experiment. In this case, the signal processing unit directly uses the calibration factor corresponding to the minimum clamping force value as the calibration factor corresponding to the real-time clamping force data. If the real-time clamping force data is greater than the maximum clamping force value in the lookup table, it indicates that the actual clamping force is higher than the maximum coverage range of the calibration experiment. In this case, the signal processing unit directly uses the calibration factor corresponding to the maximum clamping force value as the calibration factor corresponding to the real-time clamping force data. If the real-time clamping force data is within the clamping force value range of the lookup table, the calibration factor is obtained according to the normal procedure described above.
[0072] By using the boundary value processing described above, the present invention ensures that even if the clamping force exceeds the range covered by the calibration experiment during actual measurement, the device can still obtain a reasonable calibration factor, avoiding abnormalities or inability to output measurement results due to exceeding the calibration range, thus enhancing the engineering adaptability of the device.
[0073] The present invention has the following beneficial effects: (1) Precise Measurement (Core Advantage): The innovative "clamping force adaptive calibration" method is introduced. By monitoring the clamping force in real time and dynamically compensating for the optical power reading, the measurement error caused by inconsistent hand gripping force is effectively solved, realizing engineering-grade quantitative measurement.
[0074] (2) High versatility: This method does not depend on a specific clamping mechanism (whether it is an electronic sensor type or a mechanical constant force type). As long as the clamping force can be collected and the bending radius can be controlled, this method can be applied, which has wide applicability.
[0075] (3) Easy to operate: Operators do not need to master specific operating skills. They only need to clamp the optical fiber normally, and the device can automatically complete the calibration, which greatly improves the user experience.
[0076] (4) Enhance equipment value: The equipment, which could only be used for qualitative judgment of "presence or absence of light", has been upgraded to a tool that can measure accurately, which significantly enhances the practical value and market competitiveness of the equipment.
[0077] The adaptive calibration method of the present invention will be further described below through specific embodiments.
[0078] Example 1: Step S1: Fiber clamping and signal acquisition. The user clamps the fiber optic cable 21 under test using a non-invasive optical power meter. During clamping, a miniature pressure sensor 23 mounted on the moving clamping part 22 monitors and acquires the clamping force applied to the fiber optic cable in real time. F Simultaneously, the optical detection module 24 (such as a photodiode) detects the optical signal leaked from the optical fiber due to macrobending and converts it into the original optical power value. .
[0079] Step S2: Establish a calibration model. Before the equipment leaves the factory, establish a correlation model through the following steps: Select a 1550nm stable monochromatic light source calibrated by a metrology institution, measure its output power using a calibrated invasive optical power meter, and record the true value. (e.g., -10dBm); using G.652.D single-mode fiber as the standard fiber, under constant temperature (25±2℃) conditions, different clamping forces were applied. (1.5N, 1.75N, 2.0N, 2.5N, 3.0N, 3.5N, 4.0N, 4.25N, 4.5N) clamp the optical fiber and record the raw values read by the optical power meter. Calculate the calibration factor for each clamping force. .Will( , The data pairs are stored in the device's memory, forming a lookup table (LUT).
[0080] Step S3: Adaptive calibration. When the user performs on-site measurements, the pressure sensor 23 collects the real-time clamping force. F The signal processing unit (MCU) according to F The value of is used to calculate the corresponding calibration factor Δ in the lookup table using a linear interpolation algorithm. P .
[0081] For example, if =2.2N, lookup table =2.0N =0.5dB, =2.5N =0.8dB, then: ; Step S4: Output calibration results. The MCU outputs the original optical power value. With the calculated calibration factor Δ P Add them together to obtain the calibrated standard optical power value. = +Δ P and will It is displayed on the display module.
[0082] Example 2: The clamping mechanism of the non-invasive optical power meter, through a constant force spring 31 and a mechanical limiting block 32, ensures that the bending radius of the optical fiber is constant each time it is clamped. R Constant (e.g., 8.5mm). Due to the bending radius. R Constant macrobending loss of optical fiber L It is also constant (e.g., 0.3 dB). Therefore, the attenuation relationship of optical power... = + L It also becomes a constant relationship.
[0083] In this case, the adaptive calibration method can be simplified to: Step S1: Mechanically clamp the optical fiber and collect the raw optical power value. .
[0084] Step S2: Determine the constant bending radius in advance through experiments. R Fixed attenuation value L (e.g., 0.3dB).
[0085] Step S3: During measurement, directly... L As a calibration factor.
[0086] Step S4: Output calibration results = + L .
[0087] Although this method seems simple, its core idea is to "ensure constant measurement conditions through mechanical structure, thereby achieving calibration". This is itself an adaptive calibration method, and its protection scope focuses more on "how to achieve calibration through structural design" rather than specific algorithms.
[0088] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.
[0089] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this invention, "N" means at least two, such as two, three, etc., unless otherwise explicitly specified.
[0090] Any process or method description in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or N executable instructions for implementing custom logic functions or processes, and the scope of preferred embodiments of the invention includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as will be understood by those skilled in the art to which embodiments of the invention pertain.
[0091] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable storage medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable storage medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable storage media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable storage medium could be paper or other suitable media on which the program can be printed, since the program can be obtained electronically by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.
[0092] It should be understood that various parts of the present invention can be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the N steps or methods can be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware as in another embodiment, it can be implemented using any of the following techniques known in the art, or a combination thereof: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.
[0093] Those skilled in the art will understand that all or part of the steps of the methods in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.
[0094] Furthermore, the functional units in the various embodiments of the present invention can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.
[0095] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present invention.
[0096] It should be understood that the application of the present invention is not limited to the examples above. Those skilled in the art can make improvements or modifications based on the above description, and all such improvements and modifications should fall within the protection scope of the appended claims.
[0097] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.
Claims
1. A non-invasive mini optical power meter clamping force adaptive calibration method, characterized in that, The clamping force adaptive calibration method of the non-invasive mini optical power meter includes: When the clamping mechanism of the non-invasive mini optical power meter clamps the optical fiber under test and causes the optical fiber to bend macroscopically to leak optical signals, the real-time clamping force data applied to the optical fiber under test is collected by the pressure sensing unit of the non-invasive mini optical power meter, and the original optical power data corresponding to the leaked optical signal is collected by the optical detection unit of the non-invasive mini optical power meter. A correlation model between different clamping forces and corresponding calibration factors is established in advance through calibration experiments, and the correlation model is stored in the memory of the non-invasive mini optical power meter. The correlation model is used to reflect the mapping relationship between real-time clamping force and optical power attenuation compensation. When performing on-site measurements, the calibration points adjacent to the real-time clamping force data are queried from the association model based on the real-time clamping force data, and the corresponding calibration factors are obtained based on the queried calibration points. The original optical power data is compensated and corrected according to the calibration factor to offset the optical power attenuation error caused by the change in clamping force, so as to obtain the calibrated standard optical power value, and the standard optical power value is output through the display module of the non-invasive mini optical power meter.
2. The clamping force adaptive calibration method for the non-invasive mini optical power meter according to claim 1, characterized in that, The real-time clamping force data applied to the optical fiber under test is acquired through the pressure sensing unit of the non-invasive mini optical power meter, specifically including: The pressure sensing unit acquires the pressure electrical signal applied to the optical fiber under test during the clamping process. The signal processing unit of the non-invasive mini optical power meter receives the pressure signal and converts it into real-time clamping force data.
3. The clamping force adaptive calibration method for the non-invasive mini optical power meter according to claim 1, characterized in that, The aforementioned pre-established correlation model between different clamping forces and corresponding calibration factors, established through calibration experiments, specifically includes: A standard light source is used to output an optical signal to a standard optical fiber at constant power. The standard optical fiber is clamped under multiple preset clamping forces, and the optical power value detected by the optical detection module is measured under each preset clamping force. The optical power attenuation corresponding to each preset clamping force is calculated based on the constant power and each optical power value. The correlation model is constructed based on the preset clamping force and the corresponding optical power attenuation.
4. The clamping force adaptive calibration method for the non-invasive mini optical power meter according to claim 1, characterized in that, The step of obtaining the corresponding calibration factor based on the queried calibration point specifically includes: If among the queried calibration points, there exists a calibration point that is equal to the real-time clamping force data, then the calibration factor corresponding to the calibration point is used as the calibration factor corresponding to the real-time clamping force data. If none of the calibration points found are equal to the real-time clamping force data, then the calibration factors corresponding to the two calibration points adjacent to the real-time clamping force data are interpolated, and the interpolation results are used as the calibration factors corresponding to the real-time clamping force data.
5. The clamping force adaptive calibration method for the non-invasive mini optical power meter according to claim 4, characterized in that, The formula for interpolating the calibration factors corresponding to the two calibration points adjacent to the real-time clamping force data is as follows: ; in, For real-time clamping force data, , These are the clamping force values corresponding to two calibration points adjacent to the real-time clamping force data, respectively. , for , The corresponding calibration factors, This is the calibration factor corresponding to the real-time clamping force data.
6. The clamping force adaptive calibration method for the non-invasive mini optical power meter according to claim 1, characterized in that, The original optical power data is compensated and corrected according to the calibration factor to offset the optical power attenuation error caused by the change in clamping force, thereby obtaining the calibrated standard optical power value, specifically as follows: The original optical power data is summed with the calibration factor to compensate for the optical power attenuation caused by the change in clamping force in the original optical power data, thus obtaining the calibrated standard optical power value.
7. The clamping force adaptive calibration method for the non-invasive mini optical power meter according to claim 1, characterized in that, The association model is a lookup table, which contains multiple calibration points, each of which corresponds to a clamping force value and a calibration factor. The step of querying the calibration point adjacent to the real-time clamping force data from the association model also includes: Determine whether the real-time clamping force data is within the clamping force value range of the lookup table; If the real-time clamping force data is less than the minimum clamping force value in the lookup table, then the calibration factor corresponding to the minimum clamping force value is used as the calibration factor corresponding to the real-time clamping force data. If the real-time clamping force data is greater than the maximum clamping force value in the lookup table, then the calibration factor corresponding to the maximum clamping force value is used as the calibration factor corresponding to the real-time clamping force data.
8. A non-invasive mini optical power meter for implementing the clamping force adaptive calibration method of the non-invasive mini optical power meter according to any one of claims 1 to 7, characterized in that, The non-invasive mini optical power meter includes: A clamping mechanism is used to clamp the optical fiber under test and cause the optical fiber under test to undergo macro-bending to leak optical signals. A pressure sensing unit is disposed on the clamping mechanism and is used to collect real-time clamping force data applied to the optical fiber under test during the clamping process; An optical detection unit is disposed at the leakage optical signal receiving position of the clamping mechanism, used to collect the leakage optical signal of the optical fiber under test and convert the optical signal into raw optical power data; A memory is connected to the pressure sensing unit and the light detection unit. The memory stores a correlation model between different clamping forces and corresponding calibration factors, which is established in advance through calibration experiments. The correlation model is used to reflect the mapping relationship between real-time clamping force and optical power attenuation compensation. A signal processing unit, connected to the pressure sensing unit, the light detection unit, and the memory, is used to receive the real-time clamping force data and the raw optical power data, and to query the calibration points adjacent to the real-time clamping force data from the association model based on the real-time clamping force data, to obtain the corresponding calibration factor based on the queried calibration points, and to compensate and correct the raw optical power data based on the calibration factor to offset the optical power attenuation error caused by the change in clamping force, so as to obtain the calibrated standard optical power value. The display module is connected to the signal processing unit and is used to display the standard optical power value.
9. The non-invasive mini optical power meter according to claim 8, characterized in that, The clamping mechanism includes a fixed clamping part and a movable clamping part. The fixed clamping part and the movable clamping part are disposed opposite to each other. The movable clamping part moves relative to the fixed clamping part to clamp or release the optical fiber under test. The pressure sensing unit is disposed on the movable clamping part and is used to collect the pressure electrical signal applied to the optical fiber under test when the movable clamping part clamps the optical fiber under test, and transmit the pressure electrical signal to the signal processing unit. The signal processing unit receives the pressure electrical signal and converts the pressure electrical signal into the real-time clamping force data.
10. The non-invasive mini optical power meter according to claim 8, characterized in that, The association model stored in the memory includes multiple association model sub-tables, each of which corresponds to a fiber type, including G.652.D single-mode fiber and G.657.A2 bend-resistant fiber. The signal processing unit is also used to obtain the fiber type of the fiber under test, and to call the associated model sub-table corresponding to the fiber type from the memory according to the fiber type, so as to query the calibration point adjacent to the real-time clamping force data from the called associated model sub-table.