Wind driven generator mixed tower anchor cable tensioning force monitoring system

Abstract

The invention discloses a wind driven generator mixed tower anchor cable tensioning force monitoring system, which belongs to the technical field of wind power generation, anchor cable vibration signals, anchor cable strain data, temperature and humidity, wind speed and tower body surface stress distribution are acquired through a data acquisition unit, and a non-contact measurement method is adopted in the whole monitoring process. A vibrating wire sensor and a distributed optical fiber sensor only need to be installed on an anchor cable, a data preprocessing module is used for conducting denoising processing on high-frequency electromagnetic interference and mechanical vibration noise through wavelet packet transformation and sliding median filtering combined, and through the synergistic effect of a frequency domain threshold value and time domain median filtering, the high-frequency electromagnetic interference and mechanical vibration noise can be obtained through a combined algorithm. Signal quality in a complex noise environment is remarkably improved, the system is suitable for high-precision monitoring of the tension of the anchor cable of the wind driven generator, a traditional mode of adopting a pressure sensor or a strain gauge is abandoned, real-time monitoring work of the tension of the anchor cable is facilitated, anchor cable health state evaluation and early warning are achieved through the intelligent early warning unit, and the system is high in practicability. The use safety of the anchor cable is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of wind power generation, and in particular relates to a wind turbine generator hybrid tower anchor cable tensioning force monitoring system. Background Art

[0002] Wind power generation is one of the widely used clean energy technologies. In order to ensure the stable operation of wind power generation equipment, wind turbines need to be installed on high towers to obtain sufficient wind energy. High towers usually use a hybrid structure, and the most common structure is the hybrid tower anchor structure. The hybrid tower anchor structure is a composite structure consisting of a concrete tower body and reinforced concrete anchor rods. It can provide sufficient strength and rigidity to support wind turbines and transmit wind power to the foundation.

[0003] Wind turbine tower structures consist of concrete and steel sections connected by prestressed anchor cables. Anchor cable tension is a critical parameter for ensuring the safe and stable operation of these structures. Currently, commonly used methods for monitoring anchor cable tension rely on pressure sensors or strain gauges. However, these methods suffer from complex installation, low accuracy, and susceptibility to environmental influences, making them inadequate for real-time monitoring of anchor cable tension. Summary of the Invention

[0004] In order to overcome the above-mentioned defects, the present invention provides a wind turbine hybrid tower anchor cable tensioning force monitoring system, which solves the problem that the commonly used anchor cable tensioning force monitoring methods mainly use pressure sensors or strain gauges, but these methods have problems such as complex installation, low accuracy, and susceptibility to environmental influences, which are not conducive to real-time monitoring of anchor cable tensioning force.

[0005] The purpose of the present invention is to collect anchor cable vibration signals, anchor cable strain data, temperature and humidity, wind speed, and tower surface stress distribution through a data acquisition unit, and the entire monitoring process adopts a non-contact measurement method. It is only necessary to install a vibrating wire sensor and a distributed optical fiber sensor on the anchor cable. In addition, a data preprocessing module is used to perform a combined denoising process of wavelet packet transform and sliding median filtering on high-frequency electromagnetic interference and mechanical vibration noise. The combined algorithm significantly improves the signal quality in a complex noise environment through the synergistic effect of frequency domain threshold and time domain median filtering. The combined algorithm is suitable for the high-precision requirements of wind turbine anchor cable tension monitoring, abandons the traditional method of using pressure sensors or strain gauges, and is conducive to the real-time monitoring of anchor cable tension. Anchor cable health status assessment and early warning are achieved through the intelligent early warning unit. Based on the collaborative mechanism of the real-time assessment module, the abnormality type identification module and the graded early warning module, the safe operation and maintenance of wind turbine hybrid tower anchor cables are significantly improved. It can intuitively reflect the health of the anchor cables, and by capturing early minor abnormalities, potential risks are discovered in time and early warnings are issued, thereby improving the safety of anchor cable use.

[0006] To achieve the above-mentioned object, the present invention provides the following technical solution: a wind turbine hybrid tower anchor cable tensioning force monitoring system, comprising a data acquisition unit, the output end of the data acquisition unit is electrically connected to a data preprocessing module, the output end of the data preprocessing unit is electrically connected to a signal processing module, the input end of the signal processing module is electrically connected to an intelligent early warning unit, the output end signal of the intelligent early warning unit is connected to a communication module, and the output end signal of the communication module is connected to a three-dimensional visualization module; The data acquisition unit includes a vibrating string sensor, a distributed optical fiber sensor, an environmental sensor and a data collector; The data preprocessing module is used to perform denoising on high-frequency electromagnetic interference and mechanical vibration noise by using wavelet packet transform and sliding median filtering; The signal processing module includes a signal conditioning circuit and an embedded processor; The intelligent early warning unit realizes the health status assessment and early warning of the anchor cable, and the intelligent early warning unit includes a real-time assessment module, an abnormality type recognition module and a graded early warning module.

[0007] As a further solution of the present invention: the vibrating wire sensor is used to collect the vibration signal of the anchor cable; The distributed optical fiber sensor is used to collect anchor cable strain data in real time and calculate the tension force through wavelength offset; The environmental sensor is used to collect temperature and humidity, wind speed, and tower surface stress distribution; The data collector is used to transmit the signals collected by the vibrating string sensor, the distributed optical fiber sensor and the environmental sensor to the data preprocessing module.

[0008] As a further solution of the present invention: the application steps of the data preprocessing module are: S1, using wavelet packet decomposition, the signal decomposition into frequency bands by recursively applying low-pass and high-pass filters; The decomposition process is: set up and are the low-pass and high-pass filter coefficients respectively, and the decomposition formula is: (1) in represents the coefficient of the jth layer and the kth node, and the initial condition is ; S2. Threshold processing of high frequency nodes: Perform threshold denoising on high-frequency nodes: set up is the high frequency node coefficient, and the noise standard deviation is: (2) Threshold for: (3) Apply a soft thresholding function: (4) S3, sliding median filter processing low frequency nodes: Perform median filtering on low-frequency nodes; Median filter formula: Assume the window length is an odd number L, for the low frequency coefficient deal with: (5) The window length L is dynamically adjusted according to the signal's main frequency: (6) in is the sampling rate, is the main frequency of vibration; S4, wavelet packet reconstruction: Reconstruct the processed coefficients into time domain signals and reconstruct the formula: (7) in and is the reconstruction filter, which satisfies the biorthogonality condition; S5, sliding median post-processing: Reconstructed signal Perform the final smoothing: (8) The window half width , further suppressing the residual pulse.

[0009] As a further solution of the present invention: the signal processing module is used to receive the signal transmitted by the data preprocessing module, and transmit the signal to the signal conditioning circuit for amplification, filtering and analog-to-digital conversion; the embedded processor is used to perform fast Fourier transform on the signal processed by the signal conditioning circuit to extract the natural frequency of the anchor cable.

[0010] As a further solution of the present invention: the real-time assessment module is used to assess the health status of the anchor cable; The application steps of the real-time evaluation module are as follows: The multi-dimensional data transmitted by the input signal processing module includes strain data, environmental data, and vibration data; Health Index Calculation:

[0011] is the current measured tension, is the tension difference between adjacent anchor cables, is the correlation of adjacent sensor data, is the weight coefficient; HI stands for health index.

[0012] As a further solution of the present invention: the abnormality type identification module includes a transient overload mode, a progressive failure mode and a local damage mode; Transient overload mode: HI drops by >15%, and vibration energy surges in the high frequency band; Progressive failure mode: HI decreases by >0.5% / day for 7 consecutive days, and the environmental corrosion index exceeds the standard; Local damage pattern: abnormal HI spatial gradient and energy changes in the characteristic frequency band of the acoustic emission signal.

[0013] As a further solution of the present invention: the hierarchical warning module includes level I warning and level II warning; The triggering conditions for Level I and Level II warnings are: Level I warning: Sudden change of tension of a single anchor cable >15% and lasting for 5 minutes; Level II warning: The difference in tension of multiple anchor cables is >10% or the cumulative loss rate is >8% / year.

[0014] As a further solution of the present invention, the communication module includes a Wi-Fi module, a cellular network module, and a LoRa module, and transmits data to a remote monitoring center. The three-dimensional visualization module is used to display the anchor cable tension distribution and the tower deformation trend.

[0015] Compared with the prior art, the present invention has the following beneficial effects: 1. In the present invention, the data acquisition unit collects anchor cable vibration signals, anchor cable strain data, temperature and humidity, wind speed, and tower surface stress distribution, and the entire monitoring process adopts a non-contact measurement method. It is only necessary to install a vibrating wire sensor and a distributed optical fiber sensor on the anchor cable. In addition, a data preprocessing module is used to perform a combined denoising process of wavelet packet transform and sliding median filtering on high-frequency electromagnetic interference and mechanical vibration noise. The combined algorithm significantly improves the signal quality in complex noise environments through the synergistic effect of frequency domain threshold and time domain median filtering. It is suitable for the high-precision monitoring of anchor cable tension of wind turbines, abandons the traditional method of using pressure sensors or strain gauges, and is conducive to the real-time monitoring of anchor cable tension. 2. In the present invention, the health status assessment and early warning of anchor cables are realized through an intelligent early warning unit. According to the collaborative mechanism of the real-time assessment module, the abnormality type identification module and the graded early warning module, the safe operation and maintenance of the wind turbine hybrid tower anchor cables are significantly improved. It can intuitively reflect the health of the anchor cables, and timely discover potential risks and issue early warnings by capturing early minor abnormalities, thereby improving the safety of anchor cable use. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 The figure is a schematic block diagram of the principle of the system of the present invention. DETAILED DESCRIPTION

[0017] The technical solution of the present application will be further described in detail below in conjunction with specific implementation methods.

[0018] As shown in the figure, the present invention provides a technical solution: a wind turbine hybrid tower anchor cable tensioning force monitoring system, including a data acquisition unit, the output end of the data acquisition unit is electrically connected to a data preprocessing module, the output end of the data preprocessing unit is electrically connected to a signal processing module, the input end of the signal processing module is electrically connected to an intelligent early warning unit, the output end signal of the intelligent early warning unit is connected to a communication module, and the output end signal of the communication module is connected to a three-dimensional visualization module; The data acquisition unit includes a vibrating string sensor, a distributed optical fiber sensor, an environmental sensor, and a data collector; The data preprocessing module is used to denoise high-frequency electromagnetic interference and mechanical vibration noise by combining wavelet packet transform and sliding median filtering; The signal processing module includes a signal conditioning circuit and an embedded processor; The intelligent early warning unit realizes anchor cable health status assessment and early warning, and the intelligent early warning unit includes a real-time assessment module, an abnormal type recognition module and a graded early warning module.

[0019] The vibrating wire sensor is used to collect the vibration signal of the anchor cable; Distributed fiber optic sensors are used to collect anchor cable strain data in real time and calculate tension through wavelength offset; Environmental sensors are used to collect temperature, humidity, wind speed, and tower surface stress distribution; The data collector is used to transmit the signals collected by the vibrating string sensor, distributed optical fiber sensor and environmental sensor to the data preprocessing module.

[0020] The application steps of the data preprocessing module are: S1, using wavelet packet decomposition, the signal decomposition into frequency bands by recursively applying low-pass and high-pass filters; The decomposition process is: set up and are the low-pass and high-pass filter coefficients respectively, and the decomposition formula is: (1) in represents the coefficient of the jth layer and the kth node, and the initial condition is ; S2. Threshold processing of high frequency nodes: Perform threshold denoising on high-frequency nodes: set up is the high frequency node coefficient, and the noise standard deviation is: (2) Threshold for: (3) Apply a soft thresholding function: (4) S3, sliding median filter processing low frequency nodes: Perform median filtering on low-frequency nodes; Median filter formula: Assume the window length is an odd number L, for the low frequency coefficient deal with: (5) The window length L is dynamically adjusted according to the signal's main frequency: (6) in is the sampling rate, is the main frequency of vibration; S4, wavelet packet reconstruction: Reconstruct the processed coefficients into time domain signals and reconstruct the formula: (7) in and is the reconstruction filter, which satisfies the biorthogonality condition; S5, sliding median post-processing: Reconstructed signal Perform the final smoothing: (8) The window half width , further suppressing the residual pulse.

[0021] The signal processing module is used to receive the signal transmitted by the data preprocessing module and transmit the signal to the signal conditioning circuit for amplification, filtering and analog-to-digital conversion. The embedded processor is used to perform fast Fourier transform on the signal processed by the signal conditioning circuit to extract the natural frequency of the anchor cable.

[0022] The real-time assessment module is used to evaluate the health status of anchor cables; The application steps of the real-time evaluation module are as follows: The multi-dimensional data transmitted by the input signal processing module includes strain data, environmental data, and vibration data; Health Index Calculation:

[0023] is the current measured tension, is the tension difference between adjacent anchor cables, is the correlation of adjacent sensor data, is the weight coefficient; HI stands for health index.

[0024] The abnormality type identification module includes transient overload mode, progressive failure mode and local damage mode; Transient overload mode: HI drops by >15%, and vibration energy surges in the high frequency band; Progressive failure mode: HI decreases by >0.5% / day for 7 consecutive days, and the environmental corrosion index exceeds the standard; Local damage pattern: abnormal HI spatial gradient and energy changes in the characteristic frequency band of the acoustic emission signal.

[0025] The graded warning module includes Level I warning and Level II warning; The triggering conditions for Level I and Level II warnings are: Level I warning: Sudden change of tension of a single anchor cable >15% and lasting for 5 minutes; Level II warning: The difference in tension of multiple anchor cables is >10% or the cumulative loss rate is >8% / year.

[0026] As a further solution of the present invention, the communication module includes a Wi-Fi module, a cellular network module, and a LoRa module, and transmits data to a remote monitoring center. The three-dimensional visualization module is used to display the anchor cable tension distribution and the tower deformation trend.

[0027] From the above, we know that the data acquisition unit collects anchor cable vibration signals, anchor cable strain data, temperature and humidity, wind speed, and tower surface stress distribution, and the entire monitoring process adopts a non-contact measurement method. It only needs to install a vibrating string sensor and a distributed optical fiber sensor on the anchor cable. In addition, the data preprocessing module uses wavelet packet transform and sliding median filtering to jointly denoise high-frequency electromagnetic interference and mechanical vibration noise. The joint algorithm significantly improves the signal quality in complex noise environments through the synergistic effect of frequency domain threshold and time domain median filtering. It is suitable for the high-precision requirements of wind turbine anchor cable tension monitoring, abandons the traditional method of using pressure sensors or strain gauges, and is conducive to real-time monitoring of anchor cable tension. Anchor cable health status assessment and early warning are achieved through the intelligent early warning unit. Based on the collaborative mechanism of the real-time assessment module, the abnormality type identification module and the graded early warning module, the safe operation and maintenance of wind turbine hybrid tower anchor cables are significantly improved. It can intuitively reflect the health of the anchor cables, and by capturing early minor abnormalities, potential risks are discovered in time and early warnings are issued, thereby improving the safety of anchor cable use.

[0028] The working principle of the present invention is: Vibrating string sensors are used to collect anchor cable vibration signals, distributed fiber optic sensors collect anchor cable strain data in real time, and the tension is calculated through wavelength offset. Environmental sensors collect temperature, humidity, wind speed, and stress distribution on the tower surface. Next, the data collector transmits the signals collected by the vibrating string sensors, distributed fiber optic sensors, and environmental sensors to the data preprocessing module. The data preprocessing module uses wavelet packet transform and sliding median filtering to jointly denoise high-frequency electromagnetic interference and mechanical vibration noise. The application steps of the data preprocessing module are as follows: Using wavelet packet decomposition, the signal decomposition into frequency bands by recursively applying low-pass and high-pass filters; The decomposition process is: set up and are the low-pass and high-pass filter coefficients respectively, and the decomposition formula is:

[0029] in represents the coefficient of the jth layer and the kth node, and the initial condition is ; Thresholding high frequency nodes: Perform threshold denoising on high-frequency nodes: set up is the high frequency node coefficient, and the noise standard deviation is:

[0030] Threshold for:

[0031] Apply a soft thresholding function:

[0032] Sliding median filter processes low-frequency nodes: Perform median filtering on low-frequency nodes; Median filter formula: Assume the window length is an odd number L, for the low frequency coefficient deal with:

[0033] The window length L is dynamically adjusted according to the signal's main frequency:

[0034] in is the sampling rate, is the main frequency of vibration; Wavelet packet reconstruction: Reconstruct the processed coefficients into time domain signals and reconstruct the formula:

[0035] in and is the reconstruction filter, which satisfies the biorthogonality condition; Sliding median post-processing: Reconstructed signal Perform the final smoothing:

[0036] The window half width , further suppressing the residual pulse; The signal processing module receives the signal transmitted by the data preprocessing module and transmits the signal to the signal conditioning circuit for amplification, filtering and analog-to-digital conversion. The embedded processor is used to perform fast Fourier transform on the signal processed by the signal conditioning circuit and extract the natural frequency of the anchor cable. The intelligent early warning unit receives the data information transmitted by the signal processing module and implements anchor cable health status assessment and early warning. The real-time assessment module evaluates the health status of the anchor cable: The multi-dimensional data transmitted by the input signal processing module includes strain data, environmental data, and vibration data; Health Index Calculation:

[0037] is the current measured tension, is the tension difference between adjacent anchor cables, is the correlation of adjacent sensor data, is the weight coefficient, HI represents the health index; The abnormality type recognition module can identify abnormalities in the health index (HI). If the HI drops by more than 15% or the high-frequency band of vibration energy surges, the anchor cable is instantly overloaded. If the HI drops by more than 0.5% per day for seven consecutive days or the environmental corrosion index exceeds the standard, the anchor cable will gradually fail. If the spatial gradient of the HI is abnormal or the energy of the characteristic frequency band of the acoustic emission signal changes, the anchor cable is locally damaged. When working through the graded warning module, if the tension of a single anchor cable suddenly changes by more than 15% and lasts for 5 minutes, a Level I warning will be triggered; if the tension difference of multiple anchor cables is more than 10% or the cumulative loss rate is more than 8% / year, a Level II warning will be triggered; The communication module can transmit system data information to the remote monitoring center through the Wi-Fi module, cellular network module or LoRa module, and the three-dimensional visualization module displays the anchor cable tension distribution and tower deformation trend, reflecting the health of the anchor cable more intuitively.

[0038] In the description of the present invention, it should be understood that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "axial", "radial", "circumferential", etc., indicating the orientation or position relationship, are based on the orientation or position relationship shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operate in a specific orientation, and therefore cannot be understood as limiting the present invention.

[0039] 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 the technical features being referred to. Thus, a feature identified as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, "plurality" means two or more, unless otherwise specifically defined.

[0040] In the present invention, unless otherwise expressly specified or limited, terms such as "mounted," "connected," "connect," and "fixed" should be understood broadly. For example, they may refer to fixed connection, detachable connection, or integration; mechanical connection, electrical connection, or communication; direct connection or indirect connection through an intermediate medium; and internal communication between two components or interaction between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on specific circumstances.

[0041] In the present invention, unless otherwise clearly specified and limited, a first feature "above" or "below" a second feature may be that the first and second features are in direct contact, or the first and second features are in indirect contact through an intermediate medium. In the description of this specification, the descriptions with reference to the terms "one scheme", "some schemes", "examples", "specific examples", or "some examples" mean that the specific features, structures, materials or characteristics described in conjunction with the scheme or example are included in at least one scheme or example of the present invention. In this specification, the schematic expressions of the above terms do not necessarily refer to the same scheme or example. Moreover, the specific features, structures, materials or characteristics described may be combined in an appropriate manner in any one or more schemes or examples.

Claims

1. A wind turbine hybrid tower anchor cable tension monitoring system, comprising a data acquisition unit, characterized in that: The output end of the data acquisition unit is electrically connected to a data preprocessing module, the output end of the data preprocessing unit is electrically connected to a signal processing module, the input end of the signal processing module is electrically connected to an intelligent early warning unit, the output end signal of the intelligent early warning unit is connected to a communication module, and the output end signal of the communication module is connected to a three-dimensional visualization module; The data acquisition unit includes a vibrating string sensor, a distributed optical fiber sensor, an environmental sensor and a data collector; The data preprocessing module is used to perform denoising on high-frequency electromagnetic interference and mechanical vibration noise by using wavelet packet transform and sliding median filtering; The signal processing module includes a signal conditioning circuit and an embedded processor; The intelligent early warning unit realizes the health status assessment and early warning of the anchor cable, and the intelligent early warning unit includes a real-time assessment module, an abnormality type recognition module and a graded early warning module.

2. A wind turbine hybrid tower anchor cable tensioning force monitoring system according to claim 1, characterized in that: The vibrating wire sensor is used to collect the vibration signal of the anchor cable; The distributed optical fiber sensor is used to collect anchor cable strain data in real time and calculate the tension force through wavelength offset; The environmental sensor is used to collect temperature and humidity, wind speed, and tower surface stress distribution; The data collector is used to transmit the signals collected by the vibrating string sensor, the distributed optical fiber sensor and the environmental sensor to the data preprocessing module.

3. A wind turbine hybrid tower anchor cable tensioning force monitoring system according to claim 2, characterized in that: The application steps of the data preprocessing module are: S1, using wavelet packet decomposition, the signal decomposition into frequency bands by recursively applying low-pass and high-pass filters; The decomposition process is: set up and are the low-pass and high-pass filter coefficients respectively, and the decomposition formula is: （1） in represents the coefficient of the jth layer and the kth node, and the initial condition is ; S2. Threshold processing of high frequency nodes: Perform threshold denoising on high-frequency nodes: set up is the high frequency node coefficient, and the noise standard deviation is: （2） Threshold for: （3） Apply a soft thresholding function: （4） S3, sliding median filter processing low frequency nodes: Perform median filtering on low-frequency nodes; Median filter formula: Assume the window length is an odd number L, for the low frequency coefficient deal with: （5） The window length L is dynamically adjusted according to the signal's main frequency: （6） in is the sampling rate, is the main frequency of vibration; S4, wavelet packet reconstruction: Reconstruct the processed coefficients into time domain signals and reconstruct the formula: （7） in and is the reconstruction filter, which satisfies the biorthogonality condition; S5, sliding median post-processing: Reconstructed signal Perform the final smoothing: （8） The window half width , further suppressing the residual pulse.

4. The wind turbine hybrid tower anchor cable tensioning force monitoring system according to claim 1, characterized in that: The signal processing module is used to receive the signal transmitted by the data preprocessing module and transmit the signal to the signal conditioning circuit for amplification, filtering and analog-to-digital conversion. The embedded processor is used to perform fast Fourier transform on the signal processed by the signal conditioning circuit to extract the natural frequency of the anchor cable.

5. The wind turbine hybrid tower anchor cable tensioning force monitoring system according to claim 1, characterized in that: The real-time assessment module is used to assess the health status of the anchor cable; The application steps of the real-time evaluation module are as follows: The multi-dimensional data transmitted by the input signal processing module includes strain data, environmental data, and vibration data; Health Index Calculation: is the current measured tension, is the tension difference between adjacent anchor cables, is the correlation of adjacent sensor data, is the weight coefficient; HI stands for health index.

6. A wind turbine hybrid tower anchor cable tensioning force monitoring system according to claim 5, characterized in that: The abnormality type identification module includes instantaneous overload mode, progressive failure mode and local damage mode; Transient overload mode: HI drops by >15%, and vibration energy surges in the high frequency band; Progressive failure mode: HI decreases by >0.5% / day for 7 consecutive days, and the environmental corrosion index exceeds the standard; Local damage pattern: abnormal HI spatial gradient and energy changes in the characteristic frequency band of the acoustic emission signal.

7. A wind turbine hybrid tower anchor cable tensioning force monitoring system according to claim 6, characterized in that: The hierarchical warning module includes level I warning and level II warning; The triggering conditions for Level I and Level II warnings are: Level I warning: Sudden change of tension of a single anchor cable >15% and lasting for 5 minutes; Level II warning: The difference in tension of multiple anchor cables is >10% or the cumulative loss rate is >8% / year.

8. The wind turbine hybrid tower anchor cable tensioning force monitoring system according to claim 1, characterized in that: The communication module includes a Wi-Fi module, a cellular network module, and a LoRa module, and transmits data to a remote monitoring center. The three-dimensional visualization module is used to display the distribution of anchor cable tension and the deformation trend of the tower body.

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