Roadbed deformation monitoring method and monitoring system, computer equipment and storage medium
By using a dynamic deformation threshold set and trend analysis, combined with temperature data to retrieve critical thresholds, the problems of low accuracy and high false alarm rate in roadbed deformation monitoring have been solved, enabling real-time, accurate monitoring and graded early warning of roadbed deformation.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-02
- Publication Date
- 2026-03-31
AI Technical Summary
In roadbed deformation monitoring, traditional methods based on a single fixed threshold result in low monitoring accuracy, high false alarm rate, and difficulty in adapting to dynamically changing working conditions.
A dynamic deformation threshold set is adopted, and critical thresholds are retrieved from temperature data for comparison. Trend analysis is performed through time series analysis and machine learning models to trigger graded early warnings.
It improved monitoring accuracy, reduced false alarm rate, and enabled real-time and accurate monitoring and early warning of roadbed deformation.
Smart Images
Figure CN121760269A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of road monitoring technology, and in particular to a method for monitoring roadbed deformation, a monitoring system computer device, and a storage medium. Background Technology
[0002] With the rapid development of transportation infrastructure construction, the stability of the roadbed, as an important component of the road system, is directly related to driving safety and engineering durability. Under complex environmental conditions (such as diurnal temperature differences, seasonal changes, or external loads), the roadbed is prone to settlement, deformation, and other defects.
[0003] Traditional roadbed deformation monitoring methods typically rely on a single fixed threshold for early warning. However, in actual monitoring, the deformation characteristics of roadbed materials are significantly affected by temperature, and fixed thresholds are difficult to adapt to dynamically changing working conditions, resulting in low monitoring accuracy and a high false alarm rate. Summary of the Invention
[0004] The main objective of this invention is to propose a method, a monitoring system computer device, and a storage medium for monitoring roadbed deformation, aiming to solve the technical problem that the deformation of roadbed materials is easily affected by temperature, resulting in low monitoring accuracy and a high false alarm rate.
[0005] To achieve the above objectives, the present invention proposes a method for monitoring roadbed deformation, the monitoring method comprising: Determine the set of dynamic deformation thresholds corresponding to temperature; Simultaneously collect deformation and temperature data of the roadbed within a monitoring cycle; Based on the temperature data, retrieve the critical threshold corresponding to the current temperature field within the dynamic deformation threshold; The deformation value is compared with the critical threshold to obtain the comparison result, and the comparison information is output based on the comparison result; Return to the step of synchronously collecting deformation and temperature data of the roadbed within a monitoring cycle, until the comparison results of multiple consecutive monitoring cycles are obtained; Trend analysis is performed based on multiple comparison results to obtain analysis results; Based on the analysis results, a tiered early warning system was triggered.
[0006] In one embodiment, the step of performing trend analysis based on multiple comparison results to obtain analysis results includes: Time series analysis algorithms and machine learning models are used to fit and predict the comparison results of multiple consecutive monitoring periods in order to obtain the analysis results of the development trend of roadbed deformation.
[0007] In one embodiment, before the step of triggering a tiered early warning based on the analysis results, the method further includes: Based on the severity and development trend of roadbed deformation, the graded early warning system is divided into primary early warning, intermediate early warning, and advanced early warning.
[0008] The present invention also proposes a monitoring system, which includes the following functional modules: A temperature monitoring module is embedded in the roadbed and is used to collect temperature data of the roadbed. A deformation monitoring module is embedded in the roadbed and is used to collect the deformation value of the roadbed. A safety warning signal module, which is used to issue graded warnings; Data storage module, the data storage module being used to store a set of dynamic deformation thresholds; The processing module retrieves the critical threshold corresponding to the current temperature field within the dynamic deformation threshold from the temperature data, and compares the deformation value with the critical threshold to obtain a comparison result. The processing module is also used to perform trend analysis based on multiple comparison results to obtain analysis results.
[0009] In one embodiment, the monitoring system further includes the following modules: The data display module is used to display the temperature data, the deformation value, the critical threshold, the comparison result, and the analysis result.
[0010] In one embodiment, multiple monitoring zones are spaced apart along the extension direction of the roadbed, and each monitoring zone is equipped with the deformation monitoring module and the temperature monitoring module.
[0011] In one embodiment, the deformation monitoring module includes an optical fiber sensor for acquiring the deformation value.
[0012] The present invention also proposes a computer device comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the roadbed deformation monitoring method described above.
[0013] The present invention also proposes a storage medium, wherein the storage medium stores a computer program, and when the computer program is executed by a processor, it implements the steps of the above-described method for monitoring roadbed deformation.
[0014] The technical solution of this invention fully considers the influence of temperature on roadbed deformation and compensates for the influence of temperature by determining the corresponding deformation threshold at different temperatures. This effectively eliminates the influence of temperature on the monitoring of roadbed deformation and thus effectively improves the accuracy of monitoring.
[0015] Furthermore, temperature data and deformation values are collected over multiple monitoring periods, and comparison results from multiple consecutive monitoring periods are obtained. Trend analysis of these comparison results yields the analysis results of the development trend of roadbed deformation. Based on the trend analysis of the comparison results from multiple consecutive monitoring periods, a tiered early warning system is triggered, avoiding false alarms caused by single data anomalies, reducing the false alarm rate, and further improving the accuracy of detection. Attached Figure Description
[0016] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the structures shown in these drawings without creative effort.
[0017] Figure 1 A schematic flowchart of an embodiment of the roadbed deformation monitoring method provided by the present invention; Figure 2 This is a schematic diagram of the module structure of the monitoring system according to an embodiment of this application; Figure 3 This is a schematic diagram of the equipment structure of the hardware operating environment involved in the roadbed deformation monitoring method in the embodiments of this application.
[0018] Explanation of icon numbers: 10. Temperature monitoring module; 20. Deformation monitoring module; 30. Safety early warning signal module; 40. Data storage module; 50. Processing module; 60. Data display module; 1001. Processing device; 1002. ROM; 1003. Storage device; 1004. RAM; 1005. Bus; 1006. I / O interface; 1007. Input device; 1008. Output device; 1009. Communication device.
[0019] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation
[0020] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.
[0021] It should be noted that if the embodiments of the present invention involve directional indicators (such as up, down, left, right, front, back, etc.), the directional indicators are only used to explain the relative positional relationship and movement of the components in a specific posture. If the specific posture changes, the directional indicators will also change accordingly.
[0022] Furthermore, if the embodiments of this invention involve descriptions such as "first" or "second," these descriptions are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined with "first" or "second" may explicitly or implicitly include at least one of those features. Additionally, the use of "and / or" or "and / or" throughout the text includes three parallel solutions. For example, "A and / or B" includes solution A, solution B, or a solution where both A and B are satisfied simultaneously. Furthermore, the technical solutions of the various embodiments can be combined with each other, but this must be based on the ability of those skilled in the art to implement them. When the combination of technical solutions is contradictory or impossible to implement, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection claimed by this invention.
[0023] With the rapid development of transportation infrastructure construction, the stability of the roadbed, as an important component of the road system, is directly related to driving safety and engineering durability. Under complex environmental conditions (such as diurnal temperature differences, seasonal changes, or external loads), the roadbed is prone to settlement, deformation, and other defects.
[0024] Traditional roadbed deformation monitoring methods typically rely on a single fixed threshold for early warning. However, in actual monitoring, the deformation characteristics of roadbed materials are significantly affected by temperature, and fixed thresholds are difficult to adapt to dynamically changing working conditions, resulting in low monitoring accuracy and a high false alarm rate.
[0025] This invention proposes a method for monitoring roadbed deformation.
[0026] Please see Figure 1 In one embodiment of the present invention, the method for monitoring roadbed deformation includes: Step S100: Determine the set of dynamic deformation thresholds corresponding to temperature; Step S200: Simultaneously collect deformation values and temperature data of the roadbed within one monitoring cycle; Step S300: Retrieve the critical threshold corresponding to the current temperature field within the dynamic deformation threshold based on the temperature data; Step S400: Compare the deformation value with the critical threshold to obtain the comparison result, and output the comparison information based on the comparison result; Step S500: Return to step S200 and continue until comparison results for multiple consecutive monitoring periods are obtained; Step S600: Perform trend analysis based on the multiple comparison results to obtain analysis results; Step S700: Based on the analysis results, trigger a tiered early warning.
[0027] The technical solution of this invention first determines a set of dynamic deformation thresholds corresponding to different temperatures by using the characteristics of roadbed materials and historical data, thereby determining the range of allowable deformation of the roadbed at different temperatures as the deformation threshold. At the beginning of the monitoring period, deformation values and temperature data of the roadbed are collected simultaneously. Based on the collected temperature data, a critical threshold matching the current temperature field is retrieved from the determined set of dynamic deformation thresholds. The collected deformation values are compared with the retrieved critical thresholds, and the comparison result indicates whether the deformation value exceeds the critical threshold within this monitoring period. The roadbed deformation monitoring method provided by this invention fully considers the influence of temperature on roadbed deformation and achieves compensation for the influence of temperature by determining the corresponding deformation thresholds at different temperatures, thereby effectively eliminating the influence of temperature on the monitoring of roadbed deformation and effectively improving the monitoring accuracy.
[0028] Furthermore, temperature data and deformation values are collected over multiple monitoring periods, and comparison results from multiple consecutive monitoring periods are obtained. Trend analysis of these comparison results yields the analysis results of the development trend of roadbed deformation. Based on the trend analysis of the comparison results from multiple consecutive monitoring periods, a tiered early warning system is triggered, avoiding false alarms caused by single data anomalies, reducing the false alarm rate, and further improving the accuracy of detection.
[0029] In one embodiment of the present invention, step S100 includes: Step S110: Calculate the critical deformation threshold corresponding to each temperature range, and combine each temperature range and its corresponding critical deformation threshold to form the dynamic deformation threshold set.
[0030] Furthermore, in the step of determining the set of dynamic deformation thresholds corresponding to temperature, deformation data of the subgrade material at different temperatures are collected. The critical deformation thresholds corresponding to each temperature range are calculated through experimental testing, theoretical calculations, or by referring to relevant standards and specifications. These temperature ranges and their corresponding critical deformation thresholds are combined to form a complete set of dynamic deformation thresholds, which can be retrieved for comparison based on actual temperature conditions during monitoring. This clarifies the specific method for determining the set of dynamic deformation thresholds—that is, calculating and combining the critical deformation thresholds corresponding to each temperature range—making the set of dynamic deformation thresholds more targeted and accurate, further improving monitoring precision, and providing a more reliable basis for subsequent comparisons and early warnings.
[0031] In one embodiment of the present invention, step S600 includes: Step S610: The time series analysis algorithm and machine learning model are used to fit and predict the comparison results of multiple continuous monitoring periods to obtain the analysis results of the development trend of roadbed deformation.
[0032] Specifically, when performing trend analysis on the comparison results of multiple consecutive monitoring periods, appropriate time series analysis algorithms, such as the ARIMA model, or machine learning models, such as neural network models, are selected. Using the comparison results as input data, these algorithms or models are used to fit and predict the development trend of roadbed deformation, obtaining analytical results that reflect the development trend of roadbed deformation, such as predicting the possible range or trend direction of roadbed deformation in the future. Using time series analysis algorithms or machine learning models to fit and predict the comparison results of multiple consecutive monitoring periods can more accurately grasp the development trend of roadbed deformation, providing a more accurate basis for subsequent graded early warning, further reducing the false alarm rate and improving the accuracy of monitoring.
[0033] In one embodiment of the present invention, before step S700, the method further includes: Step A100: Based on the severity and development trend of roadbed deformation, the graded early warning is pre-divided into primary early warning, intermediate early warning and advanced early warning.
[0034] Specifically, before triggering a tiered early warning system based on the analysis results, the system pre-classifies the warnings into primary, intermediate, and advanced levels based on factors such as the potential hazards caused by roadbed deformation, its impact on traffic safety, and the rate of deformation development. For example, a primary warning is triggered when the analysis results indicate that the roadbed deformation is undergoing slight changes and the development trend is stable; an intermediate warning is triggered when the deformation degree increases and the development trend requires attention; and an advanced warning is triggered when the deformation is severe and may endanger traffic safety. By pre-classifying the warnings into primary, intermediate, and advanced levels, the warnings become more targeted and hierarchical, enabling corresponding countermeasures to be taken based on the severity and development trend of roadbed deformation. This improves the effectiveness and practicality of the warnings, further reduces the false alarm rate, and ensures traffic safety.
[0035] This invention also proposes a monitoring system, which includes a temperature monitoring module 10, a deformation monitoring module 20, a safety early warning signal module 30, a data storage module 40, and a processing module 50. The temperature monitoring module 10 is embedded in the roadbed and is used to collect temperature data of the roadbed. The deformation monitoring module 20 is embedded in the roadbed and is used to collect deformation values of the roadbed. The safety early warning signal module 30 is used to issue graded early warnings. The data storage module 40 is used to store a set of dynamic deformation thresholds. The processing module 50 retrieves the temperature data and the critical threshold corresponding to the current temperature field within the dynamic deformation threshold range, and compares the deformation value with the critical threshold to obtain the comparison result. The processing module 50 is also used to perform trend analysis based on multiple comparison results to obtain analysis results.
[0036] The monitoring system provided in this application, employing the roadbed deformation monitoring method described in the above embodiments, can solve the technical problem that the deformation of roadbed materials is easily affected by temperature, leading to low monitoring accuracy and a high false alarm rate. Compared with the prior art, the beneficial effects of the monitoring system provided in this application are the same as those of the roadbed deformation monitoring method provided in the above embodiments, and other technical features of the monitoring system are the same as those disclosed in the methods of the above embodiments.
[0037] Specifically, the temperature monitoring module 10 and deformation monitoring module 20 are buried at different depths and locations in the roadbed to ensure comprehensive and accurate collection of roadbed temperature data and deformation values. The processing module 50 receives the data collected by the temperature monitoring module 10 and deformation monitoring module 20, and retrieves the corresponding critical threshold from the data storage module 40 based on the temperature data. It then compares the deformation value with the critical threshold to obtain the comparison result. Simultaneously, the processing module 50 can perform trend analysis on the comparison results of multiple consecutive monitoring cycles, derive the analysis results, and control the safety warning signal module 30 to issue corresponding graded warnings based on the analysis results. Through the coordinated work of various functional modules, this monitoring system achieves real-time and accurate monitoring and early warning of roadbed deformation. The temperature monitoring module 10 and deformation monitoring module 20 can collect data synchronously, ensuring the accuracy and timeliness of the data; the dynamic deformation threshold set stored in the data storage module 40 provides an accurate comparison standard for the processing module 50; the processing module 50 can automatically complete a series of operations such as data processing, comparison, trend analysis and early warning triggering, improving the automation and accuracy of monitoring and early warning, and effectively solving the problems of low accuracy of roadbed deformation monitoring and high false alarm rate.
[0038] In one embodiment of the present invention, the monitoring system further includes the following modules: The data display module 60 is used to display temperature data, deformation value, critical threshold, comparison results and analysis results.
[0039] Furthermore, a data display module 60 is added to the monitoring system. This module is communicatively connected to the temperature monitoring module 10, deformation monitoring module 20, data storage module 40, and processing module 50. The data display module 60 can utilize a display screen, as is common in existing technologies, to display in real time the temperature data collected by the temperature monitoring module 10, the deformation values collected by the deformation monitoring module 20, the critical thresholds in the data storage module 40, the comparison results obtained by the processing module 50, and the analysis results obtained through trend analysis. Staff can intuitively view various data and results through the data display module 60, facilitating real-time monitoring and analysis of roadbed deformation. The addition of the data display module 60 allows for the intuitive display of various data and results from roadbed deformation monitoring, enabling staff to easily view and understand the roadbed deformation situation, facilitating timely problem detection and appropriate measures. Simultaneously, by comparing and analyzing the results, staff can more clearly grasp the development trend of roadbed deformation, further improving the practicality and reliability of the monitoring system.
[0040] In one embodiment of the present invention, multiple monitoring zones are spaced apart along the extension direction of the roadbed, and each monitoring zone is equipped with a deformation monitoring module 20 and a temperature monitoring module 10.
[0041] Specifically, multiple monitoring zones are set at intervals along the extension direction of the roadbed, based on actual conditions and monitoring needs. Within each monitoring zone, a deformation monitoring module 20 and a temperature sensor are embedded, ensuring that each zone can independently collect roadbed deformation and temperature data within its area. These monitoring zones cover different locations and sections of the roadbed, enabling comprehensive monitoring of the entire roadbed's deformation. The deformation monitoring modules 20 and temperature sensors in each monitoring zone are connected to the processing module 50 via data transmission lines, transmitting the collected data to the processing module 50 in real time for processing and analysis. By setting multiple monitoring zones at intervals along the extension direction of the roadbed, comprehensive monitoring of the roadbed can be achieved, avoiding the problem of incomplete monitoring caused by localized monitoring. The independent data collection and transmission from each monitoring zone to the processing module 50 allows the processing module 50 to obtain deformation and temperature information at different locations of the roadbed, more accurately determining the overall deformation of the roadbed, further improving monitoring accuracy, and effectively solving the problem of low accuracy in roadbed deformation monitoring.
[0042] In one embodiment of the present invention, the deformation monitoring module 20 includes an optical fiber sensor, which is used to collect deformation values.
[0043] Specifically, using fiber optic sensors as the monitoring element of the deformation monitoring module 20 can greatly improve the accuracy and reliability of deformation monitoring. The high sensitivity of fiber optic sensors enables them to accurately detect minute deformations of the roadbed, and their resistance to electromagnetic interference and corrosion allows them to work stably in complex roadbed environments. This effectively avoids monitoring errors caused by sensor performance issues, further improving the accuracy of roadbed deformation monitoring and helping to solve the problem of low accuracy in roadbed deformation monitoring.
[0044] This application provides a computer device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the roadbed deformation monitoring method in Embodiment 1 above.
[0045] The aforementioned computer equipment may be included in the monitoring system or may exist independently.
[0046] like Figure 3As shown, the computer device may include a processing unit 1001 (e.g., a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 1002 or a program loaded from a storage device 1003 into a random access memory (RAM) 1004. The RAM 1004 also stores various programs and data required for the operation of the device. The processing unit 1001, ROM 1002, and RAM 1004 are interconnected via a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to the I / O interface 1006: input devices 1007 including, for example, a touchscreen, touchpad, keyboard, mouse, image sensor, microphone, accelerometer, gyroscope, etc.; output devices 1008 including, for example, a liquid crystal display (LCD), speaker, vibrator, etc.; storage devices 1003 including, for example, magnetic tape, hard disk, etc.; and communication devices 1009. Communication device 1009 allows the computer device to communicate wirelessly or wiredly with other devices to exchange data. Although the figure shows computer devices with various systems, it should be understood that it is not required to implement or possess all of the systems shown. More or fewer systems may be implemented alternatively.
[0047] This application provides a storage medium having computer-readable program instructions (i.e., a computer program) stored thereon, which are used to execute the roadbed deformation monitoring method in the above embodiments.
[0048] The storage medium provided in this application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems or devices, or any combination thereof. More specific examples of the storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this embodiment, the storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system or device. The program code contained on the storage medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination thereof.
[0049] The aforementioned storage medium may be included in a computer device; or it may exist independently and not be assembled into a computer device.
[0050] The aforementioned storage medium carries one or more programs, which, when executed by a computer device, enable the computer device to perform the roadbed deformation monitoring method described in the above embodiments.
[0051] Computer program code for performing the operations of this application can be written in one or more programming languages or a combination thereof, including object-oriented programming languages such as Java, Smalltalk, and C++, and conventional procedural programming languages such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a Local Area Network (LAN) or a Wide Area Network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).
[0052] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.
[0053] The above description is merely an exemplary embodiment of the present invention and does not limit the patent scope of the present invention. Any equivalent structural transformations made using the contents of the present invention specification and drawings under the technical concept of the present invention, or direct / indirect applications in other related technical fields, are included within the patent protection scope of the present invention.
Claims
1. A method of monitoring deformation of a roadbed, characterized by, The monitoring method comprises: determining a dynamic deformation threshold set corresponding to temperature; synchronously collecting deformation values and temperature data of the roadbed in a monitoring period; according to the temperature data, retrieving a critical threshold corresponding to a current temperature field in the dynamic deformation threshold; comparing the deformation values with the critical threshold to obtain a comparison result, and outputting comparison information according to the comparison result; returning to the step of synchronously collecting deformation values and temperature data of the roadbed in a monitoring period until comparison results of multiple continuous monitoring periods are obtained; performing trend analysis according to the multiple comparison results to obtain an analysis result; according to the analysis result, triggering a hierarchical early warning.
2. The method of monitoring subgrade deformation as claimed in claim 1, wherein, The step of determining a dynamic deformation threshold set corresponding to temperature comprises: calculating critical deformation thresholds corresponding to each temperature interval, and combining each temperature interval and the corresponding critical deformation threshold to form the dynamic deformation threshold set.
3. The method of claim 1, wherein The step of performing trend analysis according to the multiple comparison results to obtain an analysis result comprises: using a time series analysis algorithm and a machine learning model to fit and predict the comparison results of multiple continuous monitoring periods to obtain an analysis result capable of reflecting the development trend of the roadbed deformation.
4. The method of claim 1, wherein Before the step of according to the analysis result, triggering a hierarchical early warning, the method further comprises: according to the severity and development trend of the roadbed deformation, pre-classifying the hierarchical early warning into primary early warning, intermediate early warning and high-level early warning.
5. A monitoring system, characterized by The monitoring system comprises the following functional modules: a temperature monitoring module, which is embedded in the roadbed, and is used to collect temperature data of the roadbed; a deformation monitoring module, which is embedded in the roadbed, and is used to collect deformation values of the roadbed; a safety early warning signal module, which is used to issue a hierarchical early warning; a data storage module, which is used to store a dynamic deformation threshold set; a processing module, which retrieves a critical threshold corresponding to a current temperature field in the dynamic deformation threshold according to the temperature data, and compares the deformation values with the critical threshold to obtain a comparison result, and performs trend analysis according to the multiple comparison results to obtain an analysis result.
6. The monitoring system of claim 5, wherein, The monitoring system further comprises the following modules: a data display module, which is used to display the temperature data, the deformation values, the critical threshold, the comparison result and the analysis result.
7. The monitoring system of claim 5, wherein, The roadbed is provided with multiple monitoring zones along its extension direction at intervals, and each monitoring zone is embedded with the deformation monitoring module and the temperature sensor.
8. The monitoring system of claim 7, wherein, The deformation monitoring module comprises an optical fiber sensor.
9. A computer device, comprising: The computer device comprises a memory, a processor, and a computer program stored on the memory and executable on the processor, the computer program being configured to implement the steps of the roadbed deformation monitoring method according to any one of claims 1 to 4.
10. A storage medium, characterized by The storage medium is a storage medium, and the storage medium stores a computer program, which is executed by a processor to implement the steps of the roadbed deformation monitoring method according to any one of claims 1 to 4.