A non-shielded horizontal pair cable stranding tension monitoring method and system

Abstract

The present application relates to the technical field of cable manufacturing, in particular to a non-shielded horizontal pair cable stranding tension monitoring method and system, which solves the technical problem that the internal metal strain gauge of the tension meter produces thermal drift due to the fluctuation of the ambient temperature between the wiring, and further causes the measurement result to be inaccurate in the cable tension monitoring process. The method comprises: obtaining the temperature sensitivity curve of the tension meter, and the load tension data and the no-load tension data of the horizontal pair cable measured by the tension meter, and collecting the temperature data of the environment where the tension meter is located; determining the sensitivity deviation coefficient according to the original sensitivity value corresponding to the temperature data in the temperature sensitivity curve; correcting the original sensitivity according to the time sequence change characteristics of the sensitivity deviation coefficient to obtain the corrected sensitivity; and correcting the load tension data according to the corrected sensitivity and the no-load tension data to obtain the corrected tension of the horizontal pair cable.

Description

Technical Field

[0001] This invention relates to the field of cable manufacturing technology, specifically to a method and system for monitoring the strand tension of unshielded horizontal twisted-pair cables. Background Technology

[0002] Horizontal twisted-pair cables, a type of communication cable made by twisting multiple strands together, are widely used as network cables and telephone lines in buildings due to their stable data transmission characteristics. They are typically deployed between building wiring closets and offices. To prevent excessive stretching of the cable from increasing DC resistance, accelerating signal attenuation, or even causing a decrease in Ethernet speed or disconnection, its tension must be monitored in real time.

[0003] In actual building cabling, for the sake of centralized management, the building's wiring closet simultaneously houses horizontal twisted-pair cables providing communication to each floor and power cables supplying power to electrical equipment. During operation, the power cables generate resistive heat due to the load current, causing drastic fluctuations in the local ambient temperature within the wiring closet. This places the tension monitoring equipment installed there in an extremely unstable operating environment.

[0004] Existing technologies typically use tension meters to monitor the tension of horizontally twisted-pair cables. However, due to drastic temperature changes, the metal strain gauges inside the tension meter will experience thermal drift, leading to zero-point offset and nonlinear shift in sensitivity with temperature. This results in significant errors in the tension measurement results, making it impossible to accurately reflect the true tension state of the horizontally twisted-pair cables. Summary of the Invention

[0005] To address the technical problem in existing technologies where thermal drift of the internal metal strain gauge of the tension meter due to ambient temperature fluctuations in the wiring closet leads to inaccurate measurement results during cable tension monitoring, the present invention aims to provide a method and system for monitoring the strand tension of unshielded horizontal twisted-pair cables. The specific technical solution adopted is as follows: In a first aspect, a method for monitoring the strand tension of an unshielded horizontal twisted-pair cable is provided, comprising: acquiring the temperature sensitivity curve of a tension meter, as well as the load tension data and no-load tension data of the horizontal twisted-pair cable measured by the tension meter, and collecting the temperature data of the environment in which the tension meter is located; determining a sensitivity deviation coefficient, used to characterize the rate of change of sensitivity deviation under temperature changes, based on the original sensitivity value corresponding to the temperature data at the target time; correcting the original sensitivity corresponding to the temperature data at the target time based on the temporal variation characteristics of the sensitivity deviation coefficient, thereby obtaining the corrected sensitivity at the target time; and correcting the load tension data based on the corrected sensitivity at the target time and the no-load tension data, thereby obtaining the corrected tension of the horizontal twisted-pair cable at the target time.

[0006] Based on the above technical solution, in the unshielded horizontal twisted-pair cable tension monitoring method provided by this invention, temperature data, load tension data, and no-load tension data of the tension meter are collected simultaneously. The original sensitivity is extracted based on the temperature sensitivity curve, and a sensitivity deviation coefficient characterizing the rate of change of sensitivity deviation under temperature variations is constructed. Then, the temporal variation characteristics of this sensitivity deviation coefficient are used to adaptively correct the original sensitivity at the target time. Finally, the load tension is double-corrected by combining the corrected sensitivity and real-time no-load tension data to obtain the corrected tension. This scheme enables tension measurement to dynamically follow the drastic temperature fluctuations caused by changes in power cable load in the building's wiring closet, effectively compensating for the nonlinear drift and zero-point offset of the metal strain gauge caused by temperature changes, eliminating the interference of temperature fluctuations on the accuracy of tension measurement, thereby significantly improving the accuracy and reliability of horizontal twisted-pair cable tension monitoring.

[0007] In conjunction with the first aspect above, in one possible implementation, the method for determining the sensitivity deviation coefficient based on the original sensitivity value corresponding to the temperature data in the temperature sensitivity curve specifically includes: substituting the temperature data at each moment into the temperature sensitivity curve to obtain the corresponding original sensitivity value, and simultaneously substituting the preset standard temperature into the temperature sensitivity curve to obtain the corresponding standard sensitivity value; determining the sensitivity deviation coefficient at each moment based on the sensitivity deviation between the original sensitivity value and the standard sensitivity value at each moment, and the temperature deviation between the temperature data at each moment and the standard temperature.

[0008] In conjunction with the first aspect above, in one possible implementation, the method for correcting the original sensitivity corresponding to the temperature data at the target time based on the temporal variation characteristics of the sensitivity deviation coefficient to obtain the corrected sensitivity at the target time specifically includes: arranging the sensitivity deviation coefficients at each time point within a preset time window in chronological order to obtain a sensitivity deviation sequence; performing trend fitting on the sensitivity deviation sequence to obtain a sensitivity deviation trend sequence; performing linear fitting on the sensitivity deviation trend sequence to obtain the slope of the fitted line; analyzing the overall intensity of the sensitivity deviation based on the sensitivity deviation trend sequence to obtain a deviation amplitude factor; and determining the corrected sensitivity at the target time based on the slope, the deviation amplitude factor, and the original sensitivity at the target time.

[0009] In conjunction with the first aspect above, in one possible implementation, the method for analyzing the overall strength of the sensitivity deviation based on the sensitivity deviation trend sequence to obtain the deviation amplitude factor specifically includes: statistically analyzing the root mean square value of the elements in the sensitivity deviation trend sequence as the deviation amplitude factor.

[0010] In conjunction with the first aspect above, in one possible implementation, the method for determining the corrected sensitivity of the target time based on the slope and the original sensitivity of the target time specifically includes: multiplying the slope by a preset scaling factor to obtain the corrected slope; the scaling factor is related to the length of a preset time window; inputting the corrected slope and the deviation amplitude factor into a preset mapping function to obtain a trend coefficient; the preset mapping function is configured such that the trend coefficient is 1 when the corrected slope is zero, and adaptively adjusting the trend coefficient according to the direction and magnitude of the change in the corrected slope and the magnitude of the deviation amplitude factor when the corrected slope is not zero; correcting the original sensitivity of the target time based on the trend coefficient to obtain the corrected sensitivity of the target time.

[0011] In conjunction with the first aspect above, in one possible implementation, the method for correcting the load tension data based on the correction sensitivity and no-load tension data at the target time to obtain the corrected tension of the horizontal twisted cable at the target time specifically includes: subtracting the no-load tension data at the target time from the load tension data at the target time to obtain the tension difference; and performing a ratio calculation between the tension difference and the correction sensitivity at the target time to obtain the corrected tension at the target time.

[0012] In conjunction with the first aspect above, in one possible implementation, the method for acquiring the load tension data and no-load tension data of the horizontal twisted-pair cable measured by the tension meter, and collecting the temperature data of the environment where the tension meter is located, specifically includes: acquiring the data collected by the tension meter and the temperature sensor according to a preset acquisition frequency; processing the acquired data using a sliding window mechanism, arranging the data collected within the sliding window in chronological order to form a time sequence of load tension data, no-load tension data, and temperature data, respectively.

[0013] In conjunction with the first aspect above, in one possible implementation, the method for obtaining the temperature sensitivity curve of the tension meter specifically includes: within the operating temperature range of the tension meter, setting measurement temperature points at preset temperature intervals, sequentially acquiring the measured values ​​of the standard weight at each measurement temperature point, and statistically analyzing the ratio of the measured value at each measurement temperature point to the standard tension corresponding to the standard weight, as the measurement sensitivity value corresponding to each measurement temperature point; using temperature data as the independent variable and the measurement sensitivity value as the dependent variable, performing fitting using a preset curve fitting algorithm to obtain the temperature sensitivity curve.

[0014] In conjunction with the first aspect above, in one possible implementation, the method further includes: if the correction tension is greater than a preset tension safety threshold, an alarm signal is output; the alarm signal is used to indicate that the horizontal twisted pair cable is at risk of excessive stretching.

[0015] Secondly, an unshielded horizontal twisted-pair cable tension monitoring system is provided, comprising: a data acquisition module for acquiring the temperature sensitivity curve of a tension meter, as well as the load tension data and no-load tension data of the horizontal twisted-pair cable measured by the tension meter, and acquiring the temperature data of the environment in which the tension meter is located; a sensitivity deviation analysis module for determining a sensitivity deviation coefficient, which characterizes the rate of change of sensitivity deviation under temperature changes, based on the original sensitivity value corresponding to the temperature data in the temperature sensitivity curve; a sensitivity correction module for correcting the original sensitivity corresponding to the temperature data at the target time based on the temporal variation characteristics of the sensitivity deviation coefficient, thereby obtaining the corrected sensitivity at the target time; and a tension correction module for correcting the load tension data based on the corrected sensitivity and no-load tension data at the target time, thereby obtaining the corrected tension of the horizontal twisted-pair cable at the target time.

[0016] The present invention has the following beneficial effects: By simultaneously acquiring temperature, load tension, and no-load tension data from the tension gauge, the original sensitivity is extracted based on the temperature sensitivity curve, and a sensitivity deviation coefficient characterizing the rate of change of sensitivity deviation under temperature variations is constructed. Then, the temporal variation characteristics of this sensitivity deviation coefficient are used to adaptively correct the original sensitivity at the target time. Finally, the load tension is double-corrected by combining the corrected sensitivity and real-time no-load tension data to obtain the corrected tension. This scheme enables tension measurement to dynamically follow the drastic temperature fluctuations caused by changes in power cable load in the building's wiring closet, effectively compensating for the nonlinear drift and zero-point offset of the metal strain gauge caused by temperature changes, eliminating the interference of temperature fluctuations on the accuracy of tension measurement, and thus significantly improving the accuracy and reliability of horizontal twisted-pair cable tension monitoring. Attached Figure Description

[0017] To more clearly illustrate the technical solutions and advantages 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 of 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 system structure diagram of an unshielded horizontal twisted-pair cable strand tension monitoring system provided in one embodiment of the present invention; Figure 2 This is a flowchart illustrating a method for monitoring the strand tension of an unshielded horizontal twisted-pair cable according to an embodiment of the present invention. Figure 3 This is a schematic diagram of the hardware structure of an unshielded horizontal twisted-pair cable tension monitoring device according to an embodiment of the present invention. Detailed Implementation

[0019] To further illustrate the technical means and effects adopted by the present invention to achieve its intended purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, details the specific implementation, structure, features, and effects of a method and system for monitoring the strand tension of an unshielded horizontal twisted-pair cable according to the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0020] 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 invention pertains.

[0021] The following description, in conjunction with the accompanying drawings, details the specific scheme of the unshielded horizontal twisted-pair cable strand tension monitoring method and system provided by the present invention.

[0022] Please see Figure 1 The diagram illustrates a system structure of an unshielded horizontal twisted-pair cable tension monitoring system according to an embodiment of the present invention. The unshielded horizontal twisted-pair cable tension monitoring system includes: a data acquisition module 1, a sensitivity deviation analysis module 2, a sensitivity correction module 3, and a tension correction module 4.

[0023] Among them, the unshielded horizontal twisted-pair cable tension monitoring system is a dedicated monitoring system adapted to the high-temperature and complex working conditions in building wiring closets and designed for the rigid fixed deployment of unshielded horizontal twisted-pair cables. The system adopts a modular and layered architecture, with each module independently completing its designated function and data flowing unidirectionally and closely linked. The core includes a data acquisition module 1, a sensitivity deviation analysis module 2, a sensitivity correction module 3, and a tension correction module 4, and is also equipped with an alarm module 5. The entire link realizes accurate acquisition, error correction, and abnormal early warning of cable tension, ensuring the stable operation of building communication cables.

[0024] Data acquisition module 1, serving as the system's data source, is responsible for collecting, calibrating, and preprocessing all basic data, providing reliable input support for subsequent analysis and correction modules. This module can be implemented using a tension meter, temperature sensor, and industrial-grade data acquisition terminal. In practice, firstly, the tension meter's temperature sensitivity curve is calibrated in advance. Within the tension meter's operating temperature range, measurement data of the tension meter against a standard weight is collected at fixed temperature intervals, and the corresponding sensitivity value is calculated. A correlation curve between temperature and sensitivity is generated through curve fitting. Secondly, at a fixed acquisition frequency, load tension data, no-load tension data, and temperature data of the tension meter's environment are simultaneously acquired. A sliding window mechanism is then used to sort the discrete acquisition data by time sequence, forming a continuous time sequence of load tension data, no-load tension data, and temperature data. Finally, the temperature sensitivity curve and the three types of time sequence data are transmitted to the sensitivity deviation analysis module 2, providing a basis for calculating the deviation coefficient.

[0025] Sensitivity Deviation Analysis Module 2 receives the basic data output from Data Acquisition Module 1. Its core function is to quantify the degree of sensitivity deviation of the tensiometer caused by temperature fluctuations, generating key parameters that characterize the rate of change of sensitivity deviation under temperature variations, providing the core calculation basis for sensitivity calibration. This module can be implemented using an embedded microprocessor and a high-speed data processing unit. In practice, it retrieves temperature data from each moment in the temperature time series, substitutes it into the temperature sensitivity curve to obtain the corresponding original sensitivity value, and simultaneously substitutes a preset standard temperature into the curve to obtain the standard sensitivity value. Combining the deviation between the original sensitivity and the standard sensitivity, and the deviation between the temperature data and the standard temperature, it calculates the sensitivity deviation coefficient for each moment. Finally, it generates a complete sensitivity deviation coefficient time series and transmits it to Sensitivity Calibration Module 3 to support subsequent sensitivity time series calibration work.

[0026] Sensitivity correction module 3 receives the time-series sequence of sensitivity deviation coefficients output by sensitivity deviation analysis module 2. Its core function is to eliminate random noise interference, capture the time-series change trend of sensitivity deviation, and achieve dynamic correction of the original sensitivity, thus solving the sensitivity drift problem caused by nonlinear temperature fluctuations. This module can be implemented through a time-series data analysis unit and a high-order fitting operation chip. In practice, the sensitivity deviation coefficients within a preset time window are selected and arranged chronologically to generate a sensitivity deviation sequence. Trend fitting is then performed on this sequence to obtain a sensitivity deviation trend sequence. A linear fit is then performed on the trend sequence to extract the slope of the fitted line, which characterizes the overall change trend of the deviation coefficients. Based on the sensitivity deviation trend sequence, the overall strength of the sensitivity deviation is analyzed to obtain the deviation amplitude factor. The slope and deviation amplitude factor are input into a preset mapping function to obtain the trend coefficient. This mapping function outputs a trend coefficient of 1 when the slope is zero, and adaptively adjusts as the slope and deviation amplitude factor change when the slope is not zero. Finally, the original sensitivity at the target time is corrected using the trend coefficient to obtain the corrected sensitivity at the target time, which is then sent to tension correction module 4 to provide correction parameters for actual tension calculation.

[0027] The tension correction module 4 receives the correction sensitivity output from the sensitivity correction module 3 and the load tension and no-load tension time-series data transmitted from the data acquisition module 1. Its core function is to eliminate the superposition error caused by temperature-induced zero-point offset and sensitivity drift, calculate the true correction tension of the cable, and complete the final accurate correction of the tension data. This module can be implemented through a high-speed tension calculation unit and an industrial data processing core physical device. In practice, it extracts the load tension data and no-load tension data at the target time, calculates the difference between them to obtain the tension difference value, and then performs a ratio calculation with the correction sensitivity at the target time to accurately obtain the correction tension of the horizontal twisted-pair cable at the target time. This tension value can truly reflect the actual stress state of the cable. Subsequently, the correction tension data is synchronously sent to the alarm module 5 for the judgment and early warning of abnormal cable tension states.

[0028] Alarm module 5, serving as the system's safety early warning unit, receives the corrected tension data output from tension correction module 4. Its core function is to monitor whether the cable tension exceeds the safe range, promptly issuing alarms to mitigate the risk of excessive cable stretching. This module can be implemented through an intelligent alarm controller, audible and visual alarm devices, or a local display terminal. In operation, it pre-stores a tension safety threshold suitable for rigidly fixed unshielded horizontal twisted-pair cables, comparing the corrected tension with the safety threshold in real time. When the corrected tension exceeds the safety threshold, an audible and visual alarm signal is immediately triggered, and abnormal information is displayed on the terminal, intuitively alerting maintenance personnel to the risk of excessive stretching in the horizontal twisted-pair cables. This allows for timely intervention, preventing signal attenuation and network disconnection caused by abnormal cable tension.

[0029] Please see Figure 2The diagram illustrates a flowchart of a method for monitoring the strand tension of an unshielded horizontal twisted-pair cable according to an embodiment of the present invention. The method includes: S1. Obtain the temperature sensitivity curve of the tension meter, as well as the load tension data and no-load tension data of the horizontal twisted-pair cable measured by the tension meter, and collect the temperature data of the environment where the tension meter is located.

[0030] Load tension data refers to the tension value of a horizontally twisted pair cable under actual working conditions, measured by a tension meter.

[0031] No-load tension data is the measurement value of the tension meter when there is no cable load or the cable is in a state of no tension, and it is used to eliminate the zero-point offset error of the tension meter.

[0032] In some implementations, data from tension gauges and temperature sensors are acquired at a preset acquisition frequency. Specifically, two tension gauges can be installed at the location where tension measurement is required on the horizontal twisted-pair cable: one to collect the cable's load tension data, and the other, without cable tension, to collect no-load tension data. A temperature sensor is also installed next to the tension gauges to collect the ambient temperature data. The preset acquisition frequency is set to match the rate of change in cable tension, with the rule being to capture real-time tension changes while avoiding excessive data volume; for example, 1Hz. All three types of data are collected synchronously at this frequency, and the acquired data is transmitted to the monitoring system.

[0033] It should be noted that the zero-point offset error of a tension gauge includes common-mode error and differential-mode error. Common-mode error refers to error factors that simultaneously affect both tension gauges, such as changes in ambient temperature, installation stress, and vibration interference. These errors affect both sensors synchronously and can be directly canceled out by calculating the difference between the load tension and the no-load tension. Differential-mode error refers to errors caused by individual differences between the two tension gauges, such as factory zero-point deviation, sensitivity deviation, and temperature characteristic differences. These errors need to be reduced through source control and pre-calibration. Specifically, the first step is to select and pre-calibrate the tension gauges, choosing two independent tension gauges of the same model, batch, and with high factory consistency to ensure that their temperature and zero-point characteristics are as close as possible from the source. Before installation, both tension gauges are calibrated under standard operating conditions, adjusting their zero points and sensitivities to ensure consistent output values ​​under standard temperature, zero tension, and standard load conditions, thus eliminating initial individual differential-mode errors. Subsequently, two independent tension meters are installed at the locations where tension measurement is required for the horizontal twisted-pair cable. The load tension meter is in direct contact with the cable and is used to collect the load tension data of the cable. The unload tension meter is installed on the same rigid mounting base, in the same environment and under the same stress conditions as the load tension meter, but does not bear the cable tension and is used to collect the unload tension data.

[0034] A sliding window mechanism is used to process the acquired data. The data collected within the sliding window are arranged in chronological order to form time-series data of load tension, no-load tension, and temperature. The sliding window mechanism is a method for segmenting time-series data. By setting the window length and step size, discrete acquired data are continuously sorted and grouped in a time sequence. In the specific implementation, the window length is set to adapt to the duration of the temperature fluctuation cycle in the wiring harness, and the setting rule is to cover short-term fluctuations in ambient temperature to avoid the impact of single temperature fluctuations on tension data correction; for example, 10 minutes is used. The step size is set to a single sampling period, and the setting rule is to correspond to the acquisition frequency to ensure the continuity and timeliness of data processing; for example, 1 second corresponds to a 1Hz acquisition frequency.

[0035] The temperature sensitivity curve characterizes the relationship between the measurement sensitivity of a tensiometer and different operating temperatures, quantifying the impact of temperature on the tensiometer's measurement performance. When obtaining the temperature sensitivity curve of a tensiometer, the factory-configured temperature sensitivity curve should be retrieved first. If this curve is not configured at the factory, it should be obtained through calibration experiments.

[0036] In some implementations, the operating temperature range for calibration experiments is set to be suitable for the working conditions of building wiring closets. The setting rule is to cover the common operating temperatures of the tension meter while reserving a safety margin, for example, -20℃ to 50℃. The preset temperature interval is set as a uniform temperature difference, and the setting rule is to balance the calibration workload while ensuring the accuracy of the curve, for example, 1℃. Within the operating temperature range of the tension meter, measurement temperature points are set at preset temperature intervals (reaching a stable state at specific temperature values). The measured values ​​of the standard weights at each measurement temperature point are obtained sequentially, and the ratio of the measured value at each measurement temperature point to the standard tension corresponding to the standard weight is calculated as the measurement sensitivity value for each measurement temperature point. Using temperature data as the independent variable and the measured sensitivity value as the dependent variable, a preset curve fitting algorithm is used for fitting. The preset curve fitting algorithm can be a high-order nonlinear fitting algorithm, which can accurately characterize the nonlinear relationship between temperature and sensitivity. The order can balance the fitting accuracy and computational complexity. Specifically, a third-order nonlinear least squares method can be used (the order is 3 to avoid excessive deviation in low-order fitting or overfitting in high-order fitting). The algorithm output is the temperature sensitivity curve of the tension meter.

[0037] S2. Based on the original sensitivity value corresponding to the temperature data in the temperature sensitivity curve, determine the sensitivity deviation coefficient used to characterize the rate of change of sensitivity deviation under temperature change.

[0038] The sensitivity deviation coefficient is a parameter used to characterize the rate of change of the sensitivity deviation of a tension meter with temperature at the current temperature, reflecting the intensity of the influence of temperature on the sensor's measurement accuracy. Since the horizontal twisted-pair cables are rigidly fixed at both ends in the building's wiring closet, changes in the power cable load and the start / stop of air conditioning within the closet cause frequent fluctuations in ambient temperature. Temperature affects the strain effect of the internal metal resistance of the tension meter, leading to drift in the measurement results of the same tension at different temperatures. Therefore, it is necessary to quantify the sensitivity deviation relative to a reference standard.

[0039] In some implementations, the temperature data at each moment is substituted into the temperature sensitivity curve to obtain the corresponding raw sensitivity value, reflecting the actual measurement sensitivity of the tension meter at that temperature. Simultaneously, a preset standard temperature is substituted into the temperature sensitivity curve to obtain the corresponding standard sensitivity value, representing the reference value of the tension meter under reference operating conditions. The standard temperature is set according to the factory-calibrated reference operating temperature of the tension meter, typically 25℃.

[0040] Based on the sensitivity deviation between the original sensitivity value and the standard sensitivity value at each moment, and the temperature deviation between the temperature data at each moment and the standard temperature, the sensitivity deviation coefficient at each moment is determined. First, the sensitivity deviation between the original sensitivity value and the standard sensitivity value at each moment is calculated, which is the ratio of the difference between the original sensitivity value and the standard sensitivity value to the standard sensitivity value, representing the relative deviation of the sensitivity relative to the standard sensitivity at the current temperature. Simultaneously, the temperature deviation between the temperature data at each moment and the standard temperature is calculated, which is the difference between the temperature data and the standard temperature, representing the degree of temperature deviation between the current operating condition and the standard operating condition. Then, the sensitivity deviation is divided by the temperature deviation to obtain the rate of change of the sensitivity deviation with temperature, i.e., the sensitivity deviation coefficient. Its sign reflects the direction of change of sensitivity with temperature (positive for the same direction, negative for the opposite direction).

[0041] S3. Based on the temporal variation characteristics of the sensitivity deviation coefficient, the original sensitivity corresponding to the temperature data at the target time is corrected to obtain the corrected sensitivity at the target time.

[0042] The temporal variation characteristics of the sensitivity deviation coefficient refer to the overall pattern and fluctuation state of the sensitivity deviation coefficient at different times over time. This includes both the true deviation trend caused by temperature changes and meaningless fluctuations caused by random temperature noise and tension gauge jitter. Since the temperature in the wiring closet does not change linearly, the change in the sensitivity deviation coefficient also exhibits nonlinear characteristics. Therefore, time-series processing is needed to separate the true trend from the noise.

[0043] In some implementations, the sensitivity deviation coefficients at each moment within a preset time window are arranged chronologically to obtain a sensitivity deviation sequence. The preset time window is formed by tracing back a preset time length from the target moment. The window length adapts to the temperature fluctuation cycle of the building's wiring closet, ensuring the continuity and representativeness of the time-series data. For example, a 10-minute interval is used, with a step size equal to a single sampling period, adapting to a 1Hz sampling frequency. The last element of the sensitivity deviation sequence is the sensitivity deviation coefficient at the target moment.

[0044] A trend fitting process is performed on the sensitivity deviation sequence to obtain a sensitivity deviation trend sequence. Trend fitting is a processing method that eliminates random noise in the time series and extracts the main trend of data change by using a preset fitting algorithm. In the specific implementation, the preset fitting algorithm is a third-order nonlinear least squares method. To balance fitting accuracy and computational complexity, this order can fully characterize the nonlinear correlation between temperature and sensitivity deviation, while avoiding high-order overfitting. The sensitivity deviation sequence is used as input to the nonlinear least squares method, and the algorithm outputs a trend fitting curve of the sensitivity deviation sequence. Then, the corresponding value of each sampling point on the fitting curve is extracted and arranged in chronological order to form the sensitivity deviation trend sequence.

[0045] A linear fit is performed on the sensitivity deviation trend sequence. For example, the sensitivity deviation trend sequence can be used as input to a linear least squares method, and the output is the fitted straight line of the sensitivity deviation trend sequence. The slope of the fitted straight line is obtained. The slope is used to characterize the overall trend of the sensitivity deviation coefficient within a preset time window, including the rate and direction of change. A positive slope indicates that the deviation coefficient has an increasing trend; a negative slope indicates that the deviation coefficient has a decreasing trend; the larger the absolute value of the slope, the more rapid the change. At the same time, the root mean square value of the sensitivity deviation trend sequence is calculated as the deviation amplitude factor. The deviation amplitude factor characterizes the overall intensity of the sensitivity deviation within this time window. The larger the value, the more drastic the shift in the tensiometer sensitivity caused by the current temperature environment; the smaller the value, the more slight the sensitivity fluctuations around the standard value.

[0046] The corrected sensitivity at the target time is determined based on the slope, deviation amplitude factor, and the original sensitivity at the target time. Specifically, the slope is multiplied by a preset scaling factor to obtain the corrected slope. The scaling factor is positively correlated with the length of a preset time window; for example, the scaling factor can be determined as the total number of sampling points within the preset time window, used to amplify the magnitude of the slope. Then, the corrected slope and deviation amplitude factor are input into a preset mapping function to obtain a trend coefficient, which characterizes the correction strength of the sensitivity deviation trend on the original sensitivity within the current time window. The preset mapping function is configured such that when the corrected slope is zero, regardless of the deviation amplitude factor, the trend coefficient is 1, indicating no current trend change and no need to correct the original sensitivity. When the corrected slope is not zero, the trend coefficient adaptively adjusts according to the direction and magnitude of the corrected slope change, as well as the magnitude of the deviation amplitude factor. The core logic is: under the same corrected slope, the larger the deviation amplitude factor, the greater the deviation of the trend coefficient from 1, ensuring that true temperature drift (large slope and large amplitude) can be strongly corrected, while small temperature fluctuations (possibly large slope but extremely small amplitude) will hardly trigger effective correction.

[0047] The preset mapping function can specifically adopt the hyperbolic tangent function, which can be expressed as: Trend coefficient = 1 + tanh(gain coefficient × correction slope × deviation amplitude factor), where the gain coefficient can be set according to the actual physical characteristics of the tension meter and the calibration data of the temperature sensitivity curve to adjust the sensitivity of the mapping function to distinguish different working conditions, with the dimension being ℃. 2 The trend coefficient is typically preset to 1.0℃ 2·s in engineering practice, and then fine-tuned based on the results of on-site testing. The final value range of the trend coefficient is (0, 2).

[0048] The original sensitivity at the target time is corrected based on the trend coefficient. Specifically, the original sensitivity is multiplied by the trend coefficient to obtain the corrected sensitivity at the target time. This eliminates the sensitivity deviation caused by nonlinear temperature fluctuations and is closer to the true working sensitivity of the tension meter.

[0049] S4. Correct the load tension data based on the correction sensitivity and no-load tension data at the target time to obtain the correction tension of the horizontal twisted cable at the target time.

[0050] In some implementations, the tension difference is obtained by subtracting the no-load tension data from the load tension data at the target time. Since the load tension meter and the no-load tension meter are in the same environment and under the same installation reference, the effects of environmental factors such as temperature changes, installation stress, and mechanical creep on the two tension meters are synchronous. The tension difference eliminates the common-mode zero-point offset error caused by environmental factors, and only retains the error caused by the actual cable tension and the sensitivity drift of the load tension meter.

[0051] The tension difference is calculated by dividing the tension difference by the correction sensitivity at the target time. This ratio corrects for tension measurement errors caused by sensitivity drift, yielding the corrected tension at the target time. This process eliminates the combined effects of zero-point temperature drift and sensitivity drift, accurately reflecting the actual stress state of the horizontal twisted-pair cable.

[0052] In some implementations, a preset tension safety threshold is determined by comprehensively considering the rated tensile strength of the horizontal twisted-pair cable, industry installation standards, and the rigid fixing conditions on site. A safety margin of 10% to 20% should be reserved during setting to avoid false alarms caused by environmental temperature stress or minor installation errors. For example, for CAT6 unshielded horizontal twisted-pair cables commonly used in building wiring closets, the maximum installation tension limit for this type of cable is 110N according to industry standards. Considering the impact of thermal expansion and contraction stress under rigid fixing conditions at both ends, the preset tension safety threshold is set to 100N, reserving approximately 10% safety margin to accommodate tension fluctuations in most office scenarios.

[0053] If the corrected tension exceeds the tension safety threshold, the horizontal twisted-pair cable is deemed to be at risk of excessive stretching, triggering an alarm process and outputting an alarm signal to indicate this risk. The alarm signal can take various forms, such as: triggering a buzzer alarm and a red status indicator light on the local monitoring terminal in the wiring closet; recording the alarm occurrence time, corresponding cable location, and abnormal corrected tension value in the system log for subsequent maintenance traceability; and simultaneously pushing alarm information to the remote management platform or mobile terminal of maintenance personnel, clearly indicating the cable location, abnormal tension value, and risk level, guiding maintenance personnel to promptly investigate the cause of the abnormal tension, such as excessive cable stretching, displacement of the fixing points at both ends, or cable contraction due to a sudden drop in ambient temperature.

[0054] Based on the above technical solution, by simultaneously acquiring temperature data, load tension data, and no-load tension data from the tension meter, the original sensitivity is extracted based on the temperature sensitivity curve, and a sensitivity deviation coefficient characterizing the rate of change of sensitivity deviation under temperature changes is constructed. Then, the temporal variation characteristics of this sensitivity deviation coefficient are used to adaptively correct the original sensitivity at the target time. Finally, the load tension is double-corrected by combining the corrected sensitivity and real-time no-load tension data to obtain the corrected tension. This solution enables tension measurement to dynamically follow the drastic temperature fluctuations caused by changes in the load of power cables in the building's wiring closet, effectively compensating for the nonlinear drift and zero-point offset of the metal strain gauge caused by temperature changes, eliminating the interference of temperature fluctuations on the accuracy of tension measurement, and thus significantly improving the accuracy and reliability of horizontal twisted-pair cable tension monitoring.

[0055] It should be noted that the order of the above embodiments of the present invention is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0056] The various embodiments in this specification are described in a progressive manner. The same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on describing the differences from other embodiments.

[0057] In this embodiment of the invention, the unshielded horizontal twisted-pair cable tension monitoring device can be divided into functional units according to the above method example. For example, each function can be divided into its own functional unit, or two or more functions can be integrated into one processing unit. The integrated unit can be implemented in hardware or software. It should be noted that the unit division in this embodiment is illustrative and only represents one logical functional division; other division methods may be used in actual implementation.

[0058] This invention also provides a hardware structure diagram of an unshielded horizontal twisted-pair cable tension monitoring device, see [link / reference]. Figure 3 The unshielded horizontal twisted-pair cable tension monitoring device 300 includes a processor 301, and optionally, a memory 302 connected to the processor 301.

[0059] In the first possible implementation, see Figure 3 The unshielded horizontal twisted-pair cable tension monitoring device 300 also includes a transceiver 303. The processor 301, memory 302, and transceiver 303 are connected via a bus. The transceiver 303 is used to communicate with other devices or communication networks. Optionally, the transceiver 303 may include a transmitter and a receiver. The device in the transceiver 303 that performs the receiving function can be considered a receiver, which is used to execute the receiving steps in the embodiments of the present invention. The device in the transceiver 303 that performs the transmitting function can be considered a transmitter, which is used to execute the transmitting steps in the embodiments of the present invention.

[0060] Based on the first possible implementation method Figure 3 The structural diagram shown can be used to illustrate the structure of the unshielded horizontal twisted-pair cable tension monitoring device involved in the above embodiments.

[0061] in, Figure 3The diagram also illustrates the system chip in an unshielded horizontal twisted-pair cable tension monitoring device. In this case, the actions performed by the aforementioned unshielded horizontal twisted-pair cable tension monitoring device can be implemented by this system chip; the specific actions performed are described above and will not be repeated here.

[0062] Although the invention has been described herein in conjunction with various embodiments, those skilled in the art, by reviewing the accompanying drawings and the disclosure, will understand and implement other variations of the disclosed embodiments in carrying out the claimed invention. In this invention, the word "comprising" does not exclude other components or steps, and "a" or "an" does not exclude a plurality. A single processor or other unit can implement several of the functions listed in this invention.

[0063] Although the invention has been described in conjunction with specific features and embodiments, it is obvious that various modifications and combinations can be made therein without departing from the scope of the invention. Accordingly, this specification and drawings are merely illustrative of the invention and are to be considered as covering any and all modifications, variations, combinations, or equivalents within the scope of the invention. Clearly, those skilled in the art can make various alterations and modifications to the invention without departing from its scope. Thus, if such modifications and modifications of the invention fall within the scope of the invention and its equivalents, the invention is also intended to include such modifications and modifications.

Claims

1. A method for monitoring the strand tension of unshielded horizontal twisted-pair cables, characterized in that, include: Acquire the temperature sensitivity curve of the tension meter, as well as the load tension data and no-load tension data of the horizontal twisted-pair cable measured by the tension meter, and collect the temperature data of the environment in which the tension meter is located; Based on the original sensitivity value corresponding to the temperature data in the temperature sensitivity curve, determine the sensitivity deviation coefficient used to characterize the rate of change of sensitivity deviation under temperature change; The sensitivity deviation coefficients at each moment within the preset time window are arranged in chronological order to obtain the sensitivity deviation sequence; The sensitivity deviation sequence is trend-fitted to obtain a sensitivity deviation trend sequence; The slope of the fitted line is obtained by performing a linear fit on the sensitivity deviation trend sequence. The root mean square value of each element in the sensitivity deviation trend sequence is used as the deviation amplitude factor. The corrected slope is obtained by multiplying the slope by a preset scaling factor; the scaling factor is related to the length of the preset time window. The correction slope and the deviation amplitude factor are input into a preset mapping function to obtain the trend coefficient; The preset mapping function is configured such that when the correction slope is zero, the trend coefficient is 1, and when the correction slope is not zero, the trend coefficient is adaptively adjusted according to the direction and magnitude of the change in the correction slope and the magnitude of the deviation amplitude factor. The original sensitivity at the target time is corrected based on the trend coefficient to obtain the corrected sensitivity at the target time; The load tension data is corrected based on the correction sensitivity and no-load tension data at the target time to obtain the corrected tension of the horizontal twisted cable at the target time.

2. The method for monitoring the strand tension of unshielded horizontal twisted-pair cables according to claim 1, characterized in that, Based on the original sensitivity value corresponding to the temperature sensitivity curve in the temperature data, determine the sensitivity deviation coefficient, including: Substitute the temperature data at each moment into the temperature sensitivity curve to obtain the corresponding original sensitivity value, and at the same time, substitute the preset standard temperature into the temperature sensitivity curve to obtain the corresponding standard sensitivity value. The sensitivity deviation coefficient for each moment is determined based on the sensitivity deviation between the original sensitivity value and the standard sensitivity value at each moment, and the temperature deviation between the temperature data at each moment and the standard temperature.

3. The method for monitoring the strand tension of unshielded horizontal twisted-pair cables according to claim 1, characterized in that, The load tension data is corrected based on the correction sensitivity and no-load tension data at the target time to obtain the corrected tension of the horizontal twisted-pair cable at the target time, including: The tension difference is obtained by subtracting the unloaded tension data at the target time from the load tension data at the target time. The corrected tension at the target time is obtained by calculating the ratio of the tension difference to the correction sensitivity at the target time.

4. The method for monitoring the strand tension of unshielded horizontal twisted-pair cables according to claim 1, characterized in that, Acquire the load tension data and no-load tension data of the horizontal twisted-pair cable measured by the tension meter, and collect the temperature data of the environment in which the tension meter is located, including: Data from the tension gauge and temperature sensor are acquired according to a preset acquisition frequency. The collected data is processed using a sliding window mechanism, and the data collected within the sliding window are arranged in chronological order to form time-series data of load tension, no-load tension, and temperature.

5. The method for monitoring the strand tension of unshielded horizontal twisted-pair cables according to claim 4, characterized in that, Obtain the temperature sensitivity curve of the tension meter, including: Within the operating temperature range of the tension meter, measurement temperature points are set at preset temperature intervals. The measured values ​​of the standard weights measured by the tension meter at each measurement temperature point are obtained sequentially. The ratio of the measured value at each measurement temperature point to the standard tension corresponding to the standard weight is calculated and used as the measurement sensitivity value corresponding to each measurement temperature point. Using the temperature data as the independent variable and the measurement sensitivity value as the dependent variable, a preset curve fitting algorithm is used to fit the curve and obtain the temperature sensitivity curve.

6. The method for monitoring the strand tension of unshielded horizontal twisted-pair cables according to claim 1, characterized in that, Also includes: If the corrected tension is greater than the preset tension safety threshold, an alarm signal is output. The alarm signal is used to indicate that the horizontal twisted-pair cable is at risk of being overstretched.

7. A tension monitoring system for unshielded horizontal twisted-pair cables, characterized in that, include: The data acquisition module is used to acquire the temperature sensitivity curve of the tension meter, as well as the load tension data and no-load tension data of the horizontal twisted-pair cable measured by the tension meter, and to acquire the temperature data of the environment in which the tension meter is located. The sensitivity deviation analysis module is used to determine the sensitivity deviation coefficient, which characterizes the rate of change of sensitivity deviation under temperature change, based on the original sensitivity value corresponding to the temperature data in the temperature sensitivity curve. The sensitivity correction module is used to arrange the sensitivity deviation coefficients at each moment within a preset time window in chronological order to obtain a sensitivity deviation sequence; perform trend fitting on the sensitivity deviation sequence to obtain a sensitivity deviation trend sequence; and perform linear fitting on the sensitivity deviation trend sequence to obtain the slope of the fitted line. The root mean square value of each element in the sensitivity deviation trend sequence is used as the deviation amplitude factor; the slope is multiplied by a preset scaling factor to obtain the correction slope; the scaling factor is related to the length of the preset time window; the correction slope and the deviation amplitude factor are input into a preset mapping function to obtain the trend coefficient. The preset mapping function is configured such that when the correction slope is zero, the trend coefficient is 1, and when the correction slope is not zero, the trend coefficient is adaptively adjusted according to the direction and magnitude of the change in the correction slope and the magnitude of the deviation amplitude factor; the original sensitivity at the target time is corrected according to the trend coefficient to obtain the corrected sensitivity at the target time. The tension correction module is used to correct the load tension data based on the correction sensitivity and no-load tension data at the target time, so as to obtain the corrected tension of the horizontal twisted cable at the target time.

Images