Wireless energy transmission and intelligent tunnel stress monitoring method and system
The system addresses energy transmission and stress monitoring challenges in tunnels by using a wireless power module and intelligent analysis to ensure efficient energy distribution and accurate stress detection, reducing false alarms and improving safety.
Patent Information
- Application Number
- CN202510417341.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-03
- Publication Date
- 2025-07-15
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The existing wireless energy transmission technology is difficult to meet the energy needs of distributed sensors in tunnels, especially in long-distance and complex electromagnetic environments, and tunnel stress monitoring is susceptible to noise interference and leads to high false alarm rates.
The wireless power supply module is used to send high-frequency radio frequency energy waves to the fiber sensor nodes, and combined with the intelligent analysis module to perform stress change data comparison and self-test of the calibration module. The fiber sensor collects stress data and makes multi-dimensional judgments, and controls the sensor to collect and calibrate in real time.
It realizes flexible deployment of wireless energy transmission, reduces construction difficulty and cost, improves the accuracy and reliability of stress monitoring, prompt warning, avoids measurement errors, and ensures tunnel safety.
Smart Images
Figure CN120320518A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of tunnel monitoring, and particularly relates to a wireless energy transmission and intelligent tunnel stress monitoring method and system. Background Art
[0002] In recent years, with the development of Internet of Things (IoT) technology, wireless energy transmission has become a new trend to improve the reliability and convenience of systems. Currently, the existing wireless energy transmission technology is mainly used for charging consumer electronics products. However, for large-scale applications in complex environments, especially energy transmission and monitoring in special scenarios such as tunnels, there are still challenges. At the same time, to ensure the safety of the entire tunnel construction and use, it is necessary to timely detect the stress situation of the tunnel and give an alarm when the stress is too large or uneven.
[0003] Currently, in the prior art, the wireless energy transmission technology is difficult to meet the energy requirements of a large number of distributed sensors in the tunnel. Especially in the case of long distances and complex electromagnetic environments, the energy transmission efficiency is low. At the same time, when the existing system monitors the tunnel stress, it usually uses a fixed threshold to judge abnormalities, which is easily interfered by local noise, resulting in the inability to distinguish real structural damage from temporary interference and a high false alarm rate.
[0004] Therefore, a wireless energy transmission and intelligent tunnel stress monitoring method and system are proposed to solve the above problems. Summary of the Invention
[0005] The main purpose of the present invention is to provide a wireless energy transmission and intelligent tunnel stress monitoring method and system to solve the problems mentioned in the above background.
[0006] To achieve the above purpose, the technical solution adopted by the present invention is: a wireless energy transmission and intelligent tunnel stress monitoring system, the system includes a wireless power supply module, an intelligent analysis module, and a calibration module; The wireless power supply module is used to send high-frequency radio frequency energy waves to a plurality of wireless charging receivers distributed in the tunnel through a wireless charging transmitter. At the same time, the wireless charging receivers are integrated on fiber optic sensor nodes, receive the energy waves and convert them into direct current. And the fiber optic sensors are installed at the key stress points on the tunnel wall, collect stress change data and send it to the data processing center through the built-in modem; The intelligent analysis module is used to receive the stress change data and compare it with the set stress threshold. If it exceeds the set stress threshold, it is judged as a preliminary abnormality, and the abnormality information is transmitted to the data processing center. The data processing center controls the fiber optic sensors on the surrounding key stress points to perform real-time data collection and timely transmission through the built-in modem, calculates the spatial gradient and statistical distribution of the surrounding fiber optic sensors, and assists in judging the stress situation of the key stress points with preliminary abnormalities; The calibration module is used to perform periodic self-checks on the internal self-check program of the fiber optic sensor, perform corresponding calibration operations, record the calibration results, and transmit them to the data processing center for storage.
[0007] Furthermore, the wireless power supply module includes a collection unit, a power supply unit, and a receiving unit; The collection unit is used to periodically collect stress change data in the tunnel through the fiber optic sensor, and a wireless charging receiver is integrated on the fiber optic sensor; The power supply unit is used to transmit high-frequency radio frequency energy waves through a wireless charging transmitter; The receiving unit is used for the data processing center to receive and store the collected stress change data.
[0008] Furthermore, the intelligent analysis module includes a preliminary judgment unit, a control unit, an auxiliary judgment unit, and a warning unit.
[0009] Furthermore, the preliminary judgment unit is used to receive the collected stress change data, compare it with the set stress threshold, the maximum stress threshold is set to 80 με, and the minimum stress threshold is set to -30 με. If the collected stress change data is greater than the maximum stress threshold or less than the minimum stress threshold, it means that the stress point of the corresponding key stress-bearing point has a preliminary abnormality, and the preliminary abnormality information is transmitted to the control unit. If the stress points of multiple consecutive key stress-bearing points have preliminary abnormalities, it means a large-area abnormality, and the information is promptly transmitted to the warning unit.
[0010] Furthermore, the control unit is used to control the fiber optic sensors on the surrounding key stress-bearing points to perform real-time data collection and timely transmission through the built-in modem.
[0011] Furthermore, the auxiliary judgment unit includes a space unit and a distribution unit; The space unit is used to calculate the spatial gradient of the data of the surrounding fiber optic sensors and assist in the judgment. The steps are as follows: Step 1, calculate the spatial gradient of the data of the surrounding fiber optic sensors. The calculation formula is as follows: where G represents the maximum spatial gradient, σ j represents the strain value of the fiber optic sensors around the key stress-bearing point with a preliminary abnormality, σ i represents the strain value of the fiber optic sensor at the key stress-bearing point with a preliminary abnormality, d ij represents the distance between the fiber optic sensors around the key stress-bearing point with a preliminary abnormality and the fiber optic sensor at the key stress-bearing point with a preliminary abnormality; Step 2: By comparing the calculated maximum spatial gradient with the set spatial threshold (100 με / m), if it exceeds the set spatial threshold, it indicates that stress anomalies occur at the key stress points of the preliminary anomalies, and then the stress anomalies are transmitted to the warning unit. If it does not exceed the set spatial threshold, it indicates that the preliminary anomalies are measurement errors or local interferences.
[0012] Furthermore, the distribution unit is used to calculate the proportion of abnormal points in the data of the surrounding optical fiber sensors and assist in judgment, and the steps are as follows: Step 1: Calculate the proportion of abnormal points in the data of the surrounding optical fiber sensors, and the calculation formula is as follows: where M represents the proportion of abnormal points, μ1 represents the mean value of the data of the surrounding optical fiber sensors, σ l represents the standard deviation of the data of the surrounding optical fiber sensors, k represents the multiple of the standard deviation, and n represents the total number of optical fiber sensors participating in the calculation around; Step 2: Compare the calculated proportion of abnormal points with the set abnormal threshold (20%). If it exceeds the set abnormal threshold, it indicates that stress anomalies occur at the key stress points of the preliminary anomalies, and then the stress anomalies are transmitted to the warning unit. If it does not exceed the set abnormal threshold, it indicates that the preliminary anomalies are measurement errors or local interferences.
[0013] Furthermore, the warning unit is used to receive the warning information from the preliminary judgment unit, the spatial unit and the distribution unit, and pop up windows, push to personal terminals and give audible and visual alarms through the data processing center platform.
[0014] Furthermore, the calibration module includes a self-check unit, a calibration unit and a storage unit; The self-check unit is used to perform periodic self-checks through the internal self-check program of the optical fiber sensor, and the self-check items include optical path detection, electrical detection and output detection; The calibration unit is used to perform dynamic calibration based on the self-check results. At the same time, when the preliminary judgment unit continuously shows three or more preliminary anomalies within a cycle, the self-check unit is immediately started; The storage unit is used for the data processing center to store the calibration history and key parameters.
[0015] A wireless energy transmission and intelligent tunnel stress monitoring method includes the following steps: S1: Enter the wireless power supply module, evenly distribute optical fiber sensors integrated with wireless charging receivers at the key stress points of the tunnel wall, deploy wireless charging transmitters at the corresponding positions, and connect the optical fiber sensors and the data processing center through a modem; S2: Enter the intelligent analysis module, receive in real time the stress change data collected by the fiber optic sensors, compare it with the set threshold value to determine whether it is preliminary abnormal data. At the same time, the preliminary abnormal data calculates the spatial gradient and statistical distribution of the surrounding fiber optic sensors to assist in judging the stress condition of the key stress points of the preliminary abnormality. If stress abnormality occurs, the information will be transmitted in time for early warning. S3: Enter the calibration module, perform self-checks on the fiber optic sensors periodically, and perform dynamic calibration according to the self-check results. In addition, store the calibration history and key parameters in the data processing center.
[0016] The present invention has the following beneficial effects: 1. In the present invention, in the wireless power supply module, high-frequency radio frequency energy waves are sent from the wireless charging transmitter to multiple wireless charging receivers integrated on the fiber optic sensor nodes. There is no need for complex wiring work, which is convenient for flexibly deploying sensor nodes at different positions in the tunnel, reducing the construction difficulty and cost. It is also convenient for adjusting the sensor positions or adding new sensor nodes in the later stage. At the same time, the fiber optic sensors collect stress change data of the key stress points of the tunnel and send it to the data processing center through the built-in modem to achieve stable transmission.
[0017] 2. In the present invention, the preliminary judgment unit quickly identifies the preliminary abnormality of the key stress points by comparing with the set stress threshold value, timely captures the abnormal signal of stress change, providing a basis for subsequent processing. After receiving the preliminary abnormal information, the control unit can accurately control the fiber optic sensors of the surrounding key stress points to collect data in real time, ensuring comprehensive and timely data acquisition and providing rich information for accurate analysis. The space unit calculates the spatial gradient of the data of the surrounding fiber optic sensors and compares it with the set spatial threshold value, which can effectively distinguish stress abnormality from measurement errors and local interferences. In addition, the distribution unit calculates the abnormal point ratio and compares it with the set abnormal threshold value, providing multi-dimensional assistance in judgment and further improving the accuracy and reliability of the judgment.
[0018] 3. In the present invention, the self-check unit performs optical path, electrical and output detections on the fiber optic sensors periodically, which can timely detect problems existing inside the sensors, ensuring that the sensors are always in a normal working state and guaranteeing the accuracy and reliability of the collected stress data. At the same time, when the preliminary judgment unit has three or more consecutive preliminary abnormalities, the calibration unit immediately starts self-checking and performs dynamic calibration based on the reference benchmark method, effectively avoiding measurement errors caused by sensor performance drift or environmental factor influences. The storage unit stores the calibration history and key parameters in the data processing center, which is convenient for subsequent query and analysis, helping technicians understand the calibration situation and performance change trend of the sensors, and quickly tracing back to relevant calibration records when problems occur. Description of the Drawings
[0019] Figure 1 This is the system flowchart of a wireless energy transmission and intelligent tunnel stress monitoring method and system according to the present invention; Figure 2 This is the method flowchart of a wireless energy transmission and intelligent tunnel stress monitoring method and system according to the present invention. Specific embodiments
[0020] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.
[0021] Embodiment 1 Please refer to Figure 1 and Figure 2 , the present invention provides a technical solution: a wireless energy transmission and intelligent tunnel stress monitoring system, the system includes a wireless power supply module, an intelligent analysis module, and a calibration module; The wireless power supply module is used to send high-frequency radio frequency (RF) energy waves to a plurality of wireless charging receivers distributed in the tunnel through a wireless charging transmitter. At the same time, the wireless charging receivers are integrated on the fiber optic sensor nodes, receive the energy waves and convert them into direct current, and the fiber optic sensors are installed at the key stress points on the tunnel wall, collect stress change data and send it to the data processing center through the built-in modem; The intelligent analysis module is used to receive the stress change data and compare it with the set stress threshold. If it exceeds the set stress threshold, it is judged as a preliminary anomaly, and the anomaly information is transmitted to the data processing center. The data processing center controls the fiber optic sensors on the surrounding key stress points to collect real-time data and transmit it in time through the built-in modem, calculates the spatial gradient and statistical distribution of the surrounding fiber optic sensors, and assists in judging the stress conditions of the key stress points with preliminary anomalies; The calibration module is used to perform periodic self-checks on the internal self-check program of the fiber optic sensor, perform corresponding calibration operations, and record and transmit the calibration results to the data processing center for storage.
[0022] The wireless power supply module includes a collection unit, a power supply unit, and a receiving unit; The collection unit is used to periodically collect stress change data in the tunnel through the fiber optic sensor, and the wireless charging receiver is integrated on the fiber optic sensor; The power supply unit is used to transmit high-frequency radio frequency energy waves through the wireless charging transmitter; the receiving unit is used to receive and store the collected stress change data by the data processing center.
[0023] In this embodiment, in the wireless power supply module, high-frequency radio frequency energy waves are sent from a wireless charging transmitter to a plurality of wireless charging receivers integrated on the fiber optic sensor nodes. There is no need for complex wiring work, which facilitates the flexible deployment of sensor nodes at different positions in the tunnel, reduces the construction difficulty and cost, and also facilitates the adjustment of the sensor positions or the addition of new sensor nodes in the later stage. At the same time, stress change data of the key stress points in the tunnel is collected by the fiber optic sensors and sent to the data processing center through the built-in modem.
[0024] Embodiment 2 Please refer to Figure 1 and Figure 2 , the present invention provides a technical solution: based on Embodiment 1, the intelligent analysis module includes a preliminary judgment unit, a control unit, an auxiliary judgment unit, and an early warning unit; The preliminary judgment unit is used to receive the collected stress change data and compare it with the set stress threshold. The maximum stress threshold is set to 80 με, and the minimum stress threshold is set to -30 με. If the collected stress change data is greater than the maximum stress threshold or less than the minimum stress threshold, it means that the stress point of the corresponding key stress point appears a preliminary anomaly, and the preliminary anomaly information is transmitted to the control unit. If the stress points of multiple consecutive key stress points appear a preliminary anomaly, it means a large-area anomaly, and the information is timely transmitted to the early warning unit.
[0025] The control unit is used to control the fiber optic sensors on the surrounding key stress points to perform real-time data collection and timely transmission through the built-in modem.
[0026] Specifically, the built-in modem includes, but is not limited to, a short-range fiber optic communication module based on OOK and PPM modulation methods.
[0027] The auxiliary judgment unit includes a space unit and a distribution unit; The space unit is used to calculate the spatial gradient of the data of the surrounding fiber optic sensors and assist in the judgment. The steps are as follows: Step 1, calculate the spatial gradient of the data of the surrounding fiber optic sensors. The calculation formula is as follows: where G represents the maximum spatial gradient, σ j represents the strain value of the fiber optic sensors around the key stress point with a preliminary anomaly, σ i represents the strain value of the fiber optic sensor of the key stress point with a preliminary anomaly, and d ij represents the distance between the fiber optic sensors around the key stress point with a preliminary anomaly and the fiber optic sensor of the key stress point with a preliminary anomaly; Step 2: By comparing the calculated maximum spatial gradient with the set spatial threshold (100 με / m), if it exceeds the set spatial threshold, it means that stress anomaly occurs at the key stress points with preliminary anomalies, and then the stress anomaly is transmitted to the warning unit. If it does not exceed the set spatial threshold, it means that the preliminary anomaly is a measurement error or local interference.
[0028] Among them, the spatial threshold of 100 με / m is the maximum allowable microstrain gradient per meter.
[0029] The distribution unit is used to calculate the proportion of abnormal points in the data of the surrounding fiber optic sensors and assist in judgment. The steps are as follows: Step 1: Calculate the proportion of abnormal points in the data of the surrounding fiber optic sensors. The calculation formula is as follows: Among them, M represents the proportion of abnormal points, μ1 represents the mean value of the data of the surrounding fiber optic sensors, σ l represents the standard deviation of the data of the surrounding fiber optic sensors, k represents the multiple of the standard deviation, and n represents the total number of fiber optic sensors participating in the calculation around. Step 2: Compare the calculated proportion of abnormal points with the set abnormal threshold (20%). If it exceeds the set abnormal threshold, it means that stress anomaly occurs at the key stress points with preliminary anomalies, and then the stress anomaly is transmitted to the warning unit. If it does not exceed the set abnormal threshold, it means that the preliminary anomaly is a measurement error or local interference.
[0030] In this embodiment, the preliminary judgment unit quickly identifies the preliminary anomalies of the key stress points by comparing with the set stress threshold, timely captures the abnormal signals of stress changes, provides a basis for subsequent processing. After receiving the preliminary anomaly information, the control unit can accurately control the fiber optic sensors at the surrounding key stress points to collect data in real time, ensuring comprehensive and timely data acquisition, providing rich information for accurate analysis. The spatial unit calculates the spatial gradient of the data of the surrounding fiber optic sensors and compares it with the set spatial threshold, which can effectively distinguish stress anomalies from measurement errors and local interferences. The distribution unit calculates the proportion of abnormal points and compares it with the set abnormal threshold, assisting in judgment from multiple dimensions, further improving the accuracy and reliability of judgment. The warning unit can issue an alarm in time, enabling relevant personnel to respond quickly and take measures to ensure the safety of the tunnel and reduce potential risks.
[0031] Embodiment 3 Please refer to Figure 1 and Figure 2 , the present invention provides a technical solution: based on Embodiment 1, the calibration module includes a self-check unit, a calibration unit, and a storage unit; The self-check unit is used to perform periodic self-checks through the internal self-check program of the fiber optic sensor. The self-check items include optical path detection, electrical detection, and output detection; The calibration unit is used to perform dynamic calibration based on the self - test results. At the same time, when the preliminary judgment unit continuously shows three or more preliminary anomalies within a cycle, the self - test unit is immediately started. Specifically, the dynamic calibration is based on the reference benchmark method, that is, several reference points with known stress states are set in the fiber optic sensor array, and real - time calibration is carried out by comparing the test value with the theoretical value.
[0032] The storage unit is used to store the calibration history and key parameters in the data processing center.
[0033] In this embodiment, the self - test unit can timely detect problems existing inside the sensor by periodically detecting the optical path, electrical and output of the fiber optic sensor, ensuring that the sensor is always in a normal working state, guaranteeing the accuracy and reliability of the collected stress data. At the same time, when the preliminary judgment unit continuously shows three or more preliminary anomalies, the calibration unit immediately starts the self - test and performs dynamic calibration based on the reference benchmark method, effectively avoiding measurement errors caused by sensor performance drift or environmental factors. The storage unit stores the calibration history and key parameters in the data processing center, which is convenient for subsequent query and analysis, helps technicians understand the calibration situation and performance change trend of the sensor, and quickly trace back to the relevant calibration records when problems occur.
[0034] In the present invention, there is provided a method and system for wireless energy transmission and intelligent tunnel stress monitoring. In the wireless power supply module, high-frequency radio frequency energy waves are transmitted from a wireless charging transmitter to a plurality of wireless charging receivers integrated on fiber optic sensor nodes. Without complex wiring work, it is convenient to flexibly deploy sensor nodes at different positions in the tunnel, reducing the construction difficulty and cost. It is also convenient to adjust the sensor positions or add new sensor nodes in the later stage. At the same time, stress change data of key stress points in the tunnel is collected by fiber optic sensors and sent to the data processing center through a built-in modem. The preliminary judgment unit quickly identifies the preliminary anomalies of key stress points by comparing with the set stress threshold, and timely captures the abnormal stress change signals, providing a basis for subsequent processing. After receiving the preliminary anomaly information, the control unit can accurately control the fiber optic sensors at surrounding key stress points to collect data in real time, ensuring comprehensive and timely data acquisition and providing rich information for accurate analysis. The spatial unit can effectively distinguish stress anomalies from measurement errors, local interferences by calculating the spatial gradient of data from surrounding fiber optic sensors and comparing with the set spatial threshold, and the distribution unit calculates the proportion of abnormal points and compares with the set anomaly threshold for multi-dimensional auxiliary judgment, further improving the accuracy and reliability of judgment. And the early warning unit can issue an alarm in time, enabling relevant personnel to respond quickly and take measures to ensure tunnel safety and reduce potential risks. The self-check unit can timely detect problems existing inside the sensors by periodically performing optical path, electrical and output detections on the fiber optic sensors, ensuring that the sensors are always in a normal working state and guaranteeing the accuracy and reliability of the collected stress data. At the same time, when the preliminary judgment unit has three or more consecutive preliminary anomalies, the calibration unit immediately starts self-check and performs dynamic calibration based on the reference benchmark method, effectively avoiding measurement errors caused by sensor performance drift or environmental factors. The storage unit stores the calibration history and key parameters in the data processing center, facilitating subsequent query and analysis, helping technicians understand the calibration situation and performance change trend of the sensors, and quickly tracing back to relevant calibration records when problems occur; A method for wireless energy transmission and intelligent tunnel stress monitoring, comprising the following steps: S1: Enter the wireless power supply module, evenly distribute fiber optic sensors integrated with wireless charging receivers at key stress points on the tunnel wall, deploy wireless charging transmitters at corresponding positions, and connect the fiber optic sensors and the data processing center through a modem; S2: Enter the intelligent analysis module, receive in real time the stress change data collected by the fiber optic sensors, compare with the set threshold, and judge whether it is preliminary abnormal data. At the same time, the preliminary abnormal data assists in judging the stress situation of the key stress points with preliminary anomalies by calculating the spatial gradient and statistical distribution of the surrounding fiber optic sensors. If a stress anomaly occurs, the information is transmitted in time for early warning; S3: Enter the calibration module, periodically self-check the fiber optic sensor, perform dynamic calibration according to the self-check results, and store the calibration history and key parameters through the data processing center.
[0035] It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements includes not only those elements but also other elements not expressly listed, or also includes elements inherent to such process, method, article or device.
[0036] Although the embodiments of the present invention have been shown and described, those of ordinary skill in the art can understand that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of protection claimed by the present invention is defined by the appended claims and their equivalents.
Claims
1. A wireless energy transmission and intelligent tunnel stress monitoring system, characterized in that The system includes a wireless power supply module, an intelligent analysis module, and a calibration module; The wireless power supply module is used to send high-frequency radio frequency energy waves to multiple wireless charging receivers distributed in the tunnel through a wireless charging transmitter. At the same time, the wireless charging receivers are integrated on the fiber optic sensor nodes, receive the energy waves and convert them into direct current. And the fiber optic sensors are installed at the key stress points on the tunnel wall, collect stress change data and send it to the data processing center through the built-in modem; The intelligent analysis module is used to receive the stress change data and compare it with the set stress threshold. If it exceeds the set stress threshold, it is judged as a preliminary anomaly, and the anomaly information is transmitted to the data processing center. The data processing center controls the fiber optic sensors on the surrounding key stress points through the built-in modem to collect real-time data and transmit it in time, calculates the spatial gradient and statistical distribution of the surrounding fiber optic sensors, and assists in judging the stress condition of the key stress point with the preliminary anomaly; The calibration module is used to perform periodic self-check on the internal self-check program of the fiber optic sensor, perform corresponding calibration operations, and record and transmit the calibration results to the data processing center for storage.
2. The wireless energy transmission and intelligent tunnel stress monitoring system according to claim 1, characterized in that, The wireless power supply module includes a collection unit, a power supply unit, and a receiving unit; The collection unit is used to periodically collect stress change data in the tunnel through the fiber optic sensor, and the wireless charging receiver is integrated on the fiber optic sensor; The power supply unit is used to transmit high-frequency radio frequency energy waves through the wireless charging transmitter; The receiving unit is used to receive and store the collected stress change data by the data processing center.
3. The wireless energy transmission and intelligent tunnel stress monitoring system according to claim 1, characterized in that, The intelligent analysis module includes a preliminary judgment unit, a control unit, an auxiliary judgment unit, and a warning unit.
4. The wireless energy transmission and intelligent tunnel stress monitoring system according to claim 3, wherein The preliminary judgment unit is used to receive the collected stress change data and compare it with the set stress threshold. The maximum stress threshold is set to 80 με, and the minimum stress threshold is set to -30 με. If the collected stress change data is greater than the maximum stress threshold or less than the minimum stress threshold, it means that the stress point of the corresponding key stress point appears a preliminary anomaly, and the preliminary anomaly information is transmitted to the control unit. If the stress points of multiple consecutive key stress points appear a preliminary anomaly, it means a large-area anomaly, and the information is transmitted to the warning unit in time.
5. A wireless energy transmission and intelligent tunnel stress monitoring system according to claim 3, characterized in that, The control unit is used to control the fiber optic sensors on the surrounding key stress points to collect real-time data and transmit it in time through the built-in modem.
6. The wireless energy transmission and intelligent tunnel stress monitoring system according to claim 3, characterized in that, The auxiliary judgment unit includes a space unit and a distribution unit; The space unit is used to calculate the spatial gradient of the data of the surrounding fiber optic sensors and assist in the judgment. The steps are as follows: Step 1, calculate the spatial gradient of the data of the surrounding fiber optic sensors. The calculation formula is as follows: Among them, G represents the maximum spatial gradient, and σ j represents the strain value of the fiber optic sensors around the preliminary abnormal key stress point, and σ i represents the strain value of the fiber optic sensor at the preliminary abnormal key stress point, and d ij represents the distance between the fiber optic sensors around the preliminary abnormal key stress point and the fiber optic sensor at the preliminary abnormal key stress point; Step 2, compare the calculated maximum spatial gradient with the set spatial threshold (100 με / m). If it exceeds the set spatial threshold, it means that the key stress point with the preliminary anomaly has a stress anomaly, and then the stress anomaly is transmitted to the warning unit. If it does not exceed the set spatial threshold, it means that the preliminary anomaly is a measurement error or local interference.
7. The wireless energy transmission and intelligent tunnel stress monitoring system according to claim 6, wherein The distribution unit is used to calculate the proportion of anomaly points in the data of the surrounding fiber optic sensors and assist in the judgment. The steps are as follows: Step 1: Calculate the proportion of abnormal points in the data of the peripheral optical fiber sensors. The calculation formula is as follows: where M represents the proportion of abnormal points, μ1 represents the mean of the data of the surrounding fiber optic sensors, σ l represents the standard deviation of the data of the surrounding fiber optic sensors, k represents the multiple of the standard deviation, and n represents the total number of surrounding fiber optic sensors participating in the calculation; Step 2: Compare the calculated proportion of abnormal points with the set abnormal threshold (20%). If it exceeds the set abnormal threshold, it means that stress abnormality occurs at the key stress points with preliminary abnormality. Then transmit the stress abnormality to the warning unit. If it does not exceed the set abnormal threshold, it means that the preliminary abnormality is measurement error or local interference.
8. The wireless energy transmission and intelligent tunnel stress monitoring system according to claim 3, wherein The warning unit is used to receive the warning information from the preliminary judgment unit, the space unit and the distribution unit, and pop up the information through the data processing center platform, push it to the personal terminal and give an audible and visual alarm.
9. A wireless energy transmission and intelligent tunnel stress monitoring system according to claim 1, characterized in that, The calibration module includes a self-check unit, a calibration unit and a storage unit; The self-check unit is used to perform periodic (once a day) self-check through the internal self-check program of the optical fiber sensor. The self-check items include optical path detection, electrical detection and output detection; The calibration unit is used to perform dynamic calibration according to the self-check results. At the same time, when the preliminary judgment unit continuously shows three or more preliminary abnormalities within a cycle (once a day), the self-check unit is immediately started; The storage unit is used to store the calibration history and key parameters in the data processing center.
10. A wireless energy transmission and intelligent tunnel stress monitoring method, which refers to a wireless energy transmission and intelligent tunnel stress monitoring system described in any one of claims 1-9, characterized in that, It includes the following steps: S1: Enter the wireless power supply module. Uniformly distribute optical fiber sensors integrated with wireless charging receivers at the key stress points on the tunnel wall, deploy wireless charging transmitting devices at the corresponding positions, and connect the optical fiber sensors and the data processing center through a modem; S2: Enter the intelligent analysis module, receive the stress change data collected by the optical fiber sensors in real time, compare it with the set threshold, and judge whether it is preliminary abnormal data. At the same time, the preliminary abnormal data is used to calculate the spatial gradient and statistical distribution of the surrounding optical fiber sensors to assist in judging the stress condition of the key stress points with preliminary abnormality. If stress abnormality occurs, the information is transmitted in time for warning; S3: Enter the calibration module, perform periodic self-check on the optical fiber sensors, perform dynamic calibration according to the self-check results, and store the calibration history and key parameters through the data processing center.