Array-type magnetostrictive large-range hierarchical settlement measurement method, device and module

Abstract

The present application discloses an array-type magnetostrictive large-range layered settlement measurement method, device and module, which are used to measure the formation settlement information from the ground to a preset formation. The method includes: a transceiver module; a waveguide wire, one end of which is connected to the transceiver module and the other end of which is arranged in the formation; a protective tube, which is arranged outside the waveguide wire, and the relative positions of the waveguide wire and the protective tube are bound; a plurality of settlement magnetic rings, which are respectively arranged outside the protective tube, each settlement magnetic ring corresponding to a measurement node, and the plurality of measurement nodes form a measurement array; the transceiver module stores the initial position information of each settlement magnetic ring, and the transceiver module sends a measurement signal to the waveguide wire; the waveguide wire corresponding to each measurement node is twisted and deformed under the action of the settlement magnetic ring, and a reflection signal is generated and reflected back to the transceiver module when the measurement signal passes through the twisted and deformed waveguide wire; the measurement position information of the corresponding settlement magnetic ring is determined according to each reflection signal; and the formation settlement information is generated according to the initial position information and the measurement position information.

Description

Technical Field

[0001] This application relates to the field of ranging technology, and particularly to an array-type magnetostrictive large-range layered settlement measurement method, device and module. Background Art

[0002] Settlement measurement is an indispensable technology in fields such as civil engineering, geological exploration and environmental monitoring, and is used to evaluate the foundation stability, monitor the settlement of buildings and infrastructure, and predict potential geological disasters. Traditional settlement measurement methods mainly rely on the measurement of a single sensor, such as level measurement, settlement plate, etc. Although these methods are mature, they have problems such as limited measurement range, low data acquisition efficiency, high labor cost and large errors, and cannot meet the long-term, accurate and large-scale settlement monitoring requirements under complex geological conditions.

[0003] In recent years, with the development of sensor technology, magnetostrictive sensors have gradually been applied in settlement monitoring due to their high precision and high resolution characteristics. Magnetostrictive sensors convert magnetic field changes into mechanical vibrations through the magnetostrictive effect, thereby achieving high-precision displacement measurement. However, existing magnetostrictive settlement measurement devices are usually only suitable for single-point measurement, with a limited measurement range, and it is difficult to comprehensively and systematically monitor the layered settlement of multi-layer geological structures.

[0004] Therefore, there is an urgent need for a method to solve at least one of the above technical problems. Summary of the Invention

[0005] This application provides an array-type magnetostrictive large-range layered settlement measurement method, device and module, aiming to solve the problem that existing magnetostrictive settlement measurement devices are usually only suitable for single-point measurement, with a limited measurement range, and it is difficult to comprehensively and systematically monitor the layered settlement of multi-layer geological structures.

[0006] In a first aspect, this application provides an array-type magnetostrictive large-range layered settlement measurement device for measuring the formation settlement information from the ground to a preset formation; the device includes:

[0007] A transceiver module;

[0008] A waveguide wire, one end of the waveguide wire is connected to the transceiver module, and the other end of the waveguide wire is arranged in the formation;

[0009] A protective tube, the protective tube is arranged outside the waveguide wire, and the relative position of the waveguide wire and the protective tube is bound;

[0010] Multiple settlement magnetic rings, multiple settlement magnetic rings are respectively arranged outside the protective tube, each settlement magnetic ring corresponds to a measurement node, and multiple measurement nodes form a measurement array;

[0011] Among them, the transceiver module stores the initial position information of each settlement magnetic ring, and the transceiver module sends a measurement signal to the waveguide wire; the waveguide wire corresponding to each measurement node is twisted and deformed under the action of the settlement magnetic ring, and a reflection signal is generated when the measurement signal passes through the twisted and deformed waveguide wire and is reflected back to the transceiver module; the transceiver module determines the measurement position information of the corresponding settlement magnetic ring according to each reflection signal; the transceiver module generates the formation settlement information according to the initial position information and the measurement position information corresponding to each settlement magnetic ring.

[0012] This application provides an array-type magnetostrictive large-range hierarchical settlement measurement device, and its technical content mainly includes the following parts:

[0013] 1. Transceiver module: used to send measurement signals and receive reflection signals, and at the same time store the initial position information of each settlement magnetic ring.

[0014] 2. Waveguide wire: as a medium for signal transmission, one end is connected to the transceiver module, and the other end penetrates into the preset formation.

[0015] 3. Protective tube: wrapped outside the waveguide wire, used to protect the waveguide wire and fix its relative position with the protective tube.

[0016] 4. Settlement magnetic ring: multiple settlement magnetic rings are respectively installed outside the protective tube, and each settlement magnetic ring corresponds to a measurement node, forming a measurement array.

[0017] The transceiver module sends a measurement signal to the waveguide wire. When the formation subsides, the position of the settlement magnetic ring changes, causing the waveguide wire to be twisted and deformed under the action of the settlement magnetic ring. The twisted and deformed waveguide wire will affect the propagation characteristics of the signal, so that the measurement signal generates a reflection signal when passing through the waveguide wire and returns to the transceiver module. The transceiver module calculates the measurement position information of the corresponding settlement magnetic ring according to the change of each reflection signal. Finally, the transceiver module generates the formation settlement information according to the initial position information and the measurement position information of each settlement magnetic ring.

[0018] By adopting an array design, the hierarchical settlement monitoring of multi-layer geological structures is realized through multiple measurement nodes. Utilizing the magnetostrictive effect, the reflection of the signal and the measurement of the position are realized through the twisting deformation of the waveguide wire. It has a large-range measurement ability and can meet the monitoring requirements of a large formation settlement range.

[0019] Traditional magnetostrictive settlement measurement devices can usually only achieve single-point measurement with a limited measurement range, making it difficult to meet the requirements of layered settlement monitoring for multi-layer geological structures. Through the array design and configuration of multiple measurement nodes, this device can comprehensively and systematically monitor the layered settlement of multi-layer geological structures. Through the collaborative work of multiple measurement nodes, it can more accurately reflect the settlement of the formation and improve the accuracy of measurement results. The digital measurement and signal processing methods make the measurement process more efficient and reduce the need for manual intervention.

[0020] At the same time, this device has a large measurement range and can adapt to the monitoring requirements of a large formation settlement range, and is suitable for settlement monitoring under different geological conditions. The device structure is designed simply, which is convenient for installation and maintenance. By protecting the waveguide wire with a protective tube, the service life of the device is extended and the maintenance cost is reduced. This device is suitable for the settlement monitoring of various geological structures and can provide technical support for fields such as geological disaster warning and building engineering monitoring.

[0021] In summary, the array-type magnetostrictive large-range layered settlement measurement device proposed in this application realizes comprehensive and accurate monitoring of the layered settlement of multi-layer geological structures through the collaborative work of multiple measurement nodes and digital signal processing. This device has the advantages of a wide measurement range, high precision, simple structure, and easy maintenance, can effectively solve the deficiencies of the existing technology, and has broad application prospects.

[0022] In a second aspect, this application provides an array-type magnetostrictive large-range layered settlement measurement method, which is applied to the transceiver module of the array-type magnetostrictive large-range layered settlement measurement device provided in any embodiment of this application. The method includes:

[0023] Obtain the initial position information of each measurement node;

[0024] Control the transceiver module to send a measurement signal to the formation through the waveguide wire. When the measurement signal passes through the measurement node, the waveguide wire corresponding to each measurement node is distorted under the action of the settlement magnetic ring, and a reflection signal is generated when the measurement signal passes through the distorted waveguide wire and is reflected back to the transceiver module;

[0025] Determine the measurement position information of the corresponding measurement node according to each reflection signal;

[0026] Generate the formation settlement information according to the initial position information and measurement position information corresponding to each measurement node.

[0027] The present application provides an array - type magnetostrictive large - range layered settlement measurement method. First, obtain the initial position information of each measurement node. These initial position information may be the reference positions recorded during the installation of the device and are used as references for subsequent settlement measurements. Then, control the transceiver module to send measurement signals to the formation through the waveguide wire. The measurement signal may be an electromagnetic wave or other forms of signals for detecting the settlement of the formation. Further, when the measurement signal passes through the measurement node, the waveguide wire corresponding to each measurement node undergoes a torsional deformation under the action of the settlement magnetic ring. This torsional deformation changes the physical properties of the waveguide wire, thereby generating a reflection signal when the measurement signal passes through. The reflection signal is received by the transceiver module. Furthermore, according to each reflection signal, the system can determine the measurement position information of the corresponding measurement node. This may involve analyzing the time delay, frequency, or other characteristics of the reflection signal to calculate the current position of the measurement node. Finally, the system calculates the settlement amount of the formation based on the initial position information and the measurement position information corresponding to each measurement node, and generates formation settlement information.

[0028] Through the array - type design, this method can measure multiple measurement nodes simultaneously, solving the problem that existing devices are usually only suitable for single - point measurement. It can achieve large - range measurement and is suitable for settlement monitoring of formations at different depths, expanding the measurement range. Through the hierarchical arrangement of multiple measurement nodes, this method can comprehensively and systematically monitor the layered settlement of multi - layer geological structures, improving the monitoring fineness. This method can obtain the settlement information of the formation in real - time, facilitating timely analysis and processing, and is suitable for dynamic monitoring scenarios. Through the design of waveguide wire and settlement magnetic ring, sensitive detection of settlement is achieved, with a simple structure and low cost, facilitating practical application.

[0029] In summary, through the array - type design and magnetostrictive effect, this method realizes an efficient, accurate, and large - range layered settlement measurement method, which is suitable for fields such as geological monitoring and civil engineering.

[0030] In some embodiments, the determining the measurement position information of the corresponding measurement node according to each reflection signal includes: obtaining the propagation speed of the measurement signal in the waveguide wire; obtaining the propagation time corresponding to each reflection signal; calculating the measurement position information according to the propagation speed and the propagation time; determining the target initial position information corresponding to the measurement position information among the multiple initial position information; and determining the measurement node corresponding to the measurement position information according to the target initial position information.

[0031] Exemplarily, determining the target initial position information corresponding to the measurement position information among the multiple pieces of initial position information includes: calculating the position deviation between the measurement position information and each piece of initial position information; and determining the initial position information with the position deviation within a preset deviation range as the target initial position information.

[0032] In some embodiments, generating the formation settlement information according to the initial position information and the measurement position information corresponding to each measurement node includes: calculating the node settlement information corresponding to each measurement node according to the initial position information and the measurement position information; and generating the formation settlement information according to each piece of node settlement information.

[0033] Exemplarily, generating the formation settlement information according to each piece of node settlement information includes: obtaining the node weight corresponding to each measurement node according to the initial position information of each measurement node; and generating the formation settlement information according to the node weight and the node settlement information corresponding to each measurement node.

[0034] It should be noted that, in some embodiments, obtaining the node weight corresponding to each measurement node according to the initial position information of each measurement node includes: obtaining the terrain information corresponding to the formation; constructing a weight function according to the terrain information, where the weight function is used to represent the functional relationship between the measuring point position information and the weight value; and obtaining the node weight corresponding to each measurement node according to the initial position information of each measurement node in the functional relationship.

[0035] It should be noted that, in some embodiments, constructing the weight function according to the terrain information includes: obtaining the depth information from the ground to the preset formation; and inputting the terrain information and the depth information into a preset weight prediction model, where the weight prediction model outputs the functional relationship corresponding to the measuring point position information and the weight value.

[0036] In some embodiments, obtaining the initial position information of each measurement node includes: when a settlement magnetic ring is set up, controlling the transceiver module to send a measurement signal to the formation through the waveguide wire to determine the initial position information of the corresponding measurement node according to the received reflection signal.

[0037] In some embodiments, before generating the formation settlement information based on the initial position information and the measurement position information corresponding to each measurement node, the method further includes: analyzing the measurement position information in real time according to a preset anomaly detection algorithm; if abnormal data is identified in the measurement position information, generating a warning message according to a preset warning mechanism; wherein, if it is confirmed according to the measurement position information that the settlement amount of any one of the measurement nodes exceeds a preset threshold, the measurement position information corresponding to the measurement node is confirmed as the abnormal data.

[0038] In some embodiments, before obtaining the initial position information of each measurement node, the method further includes: forming a distributed monitoring network with a plurality of the measurement nodes to cover a larger formation area, and uploading the initial position information corresponding to the measurement nodes to a preset cloud platform through a wireless communication technology.

[0039] Exemplarily, after generating the formation settlement information based on the initial position information and the measurement position information corresponding to each measurement node, the method further includes: uploading the formation settlement information to the cloud platform for generating a formation settlement map and a trend analysis report in the cloud platform.

[0040] In a third aspect, the present application provides an array type magnetostrictive large-range hierarchical settlement measurement device, including:

[0041] An information acquisition unit, configured to acquire the initial position information of each measurement node;

[0042] A signal sending unit, configured to control a transceiver module to send a measurement signal to the formation through a waveguide wire, so that when the measurement signal passes through a measurement node, the waveguide wire corresponding to each measurement node is twisted and deformed under the action of a settlement magnetic ring, and a reflection signal is generated and reflected back to the transceiver module when the measurement signal passes through the twisted and deformed waveguide wire;

[0043] A position determination unit, configured to determine the measurement position information of the corresponding measurement node according to each reflection signal;

[0044] An information generation unit, configured to generate the formation settlement information according to the initial position information and the measurement position information corresponding to each measurement node.

[0045] In a fourth aspect, the present application provides a transceiver module, including a memory and a processor; the memory is used for storing a computer program; the processor is configured to execute the computer program and implement the method provided in any embodiment of the present application when executing the computer program.

[0046] Fifth aspect, the present application provides a computer-readable storage medium storing a computer program, which when executed by a processor causes one or more processors to execute the method provided in any embodiment of the present application.

[0047] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and cannot limit the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for the description of the embodiments will be briefly introduced below. Obviously, the drawings in the following description are some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0049] Figure 1 It is a structural schematic block diagram of an array type magnetostrictive large-range layered settlement measurement device provided by an embodiment of the present application;

[0050] Figure 2 It is a step schematic flow chart of an array type magnetostrictive large-range layered settlement measurement method provided by an embodiment of the present application;

[0051] Figure 3 It is a structural schematic block diagram of a transceiver module provided by an embodiment of the present application.

[0052] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and cannot limit the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0053] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are some, but not all, of the embodiments of the present application. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present application without creative efforts fall within the scope of protection of the present application.

[0054] The flow charts shown in the drawings are only illustrative examples, and do not necessarily include all the contents and operations / steps, nor do they necessarily need to be executed in the described order. For example, some operations / steps can be decomposed, combined, or partially merged, so the actual execution order may change according to the actual situation.

[0055] It should be understood that, for the convenience of clearly describing the technical solutions of the embodiments of the present invention, in the embodiments of the present invention, terms such as "first" and "second" are used to distinguish identical or similar items with basically the same functions and effects. Those skilled in the art can understand that the terms "first", "second", etc. do not limit the quantity and execution order, and the terms "first", "second", etc. do not necessarily limit being different.

[0056] It should be understood that the terms used in the specification of this application are only for the purpose of describing specific embodiments and are not intended to limit this application. As used in the specification of this application and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include the plural forms.

[0057] It should also be understood that the term "and / or" used in the specification of this application and the appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0058] The following will, with reference to the accompanying drawings, elaborate on some embodiments of this application. Without conflict, the following embodiments and the features in the embodiments can be combined with each other.

[0059] Settlement measurement is an indispensable technology in the fields of civil engineering, geological exploration, environmental monitoring, etc., and is used to evaluate the foundation stability, monitor the settlement of buildings and infrastructure, and predict potential geological disasters. Traditional settlement measurement methods mainly rely on the measurement of a single sensor, such as leveling measurement, settlement plates, etc. Although these methods are mature, they have problems such as limited measurement range, low data acquisition efficiency, high labor cost, and large errors, and cannot meet the long-term, accurate, and large-scale settlement monitoring requirements under complex geological conditions.

[0060] In recent years, with the development of sensor technology, magnetostrictive sensors have gradually been applied in settlement monitoring due to their high precision and high resolution characteristics. Magnetostrictive sensors convert the magnetic field change into mechanical vibration through the magnetostrictive effect, thereby achieving high-precision displacement measurement. However, the existing magnetostrictive settlement measurement devices are usually only suitable for single-point measurement, with a limited measurement range, and it is difficult to comprehensively and systematically monitor the layered settlement of multi-layer geological structures.

[0061] Therefore, there is an urgent need for a method to solve at least one of the above technical problems.

[0062] To solve the above problems, please refer to Figure 1。This application provides an array-type magnetostrictive large-range layered settlement measurement device for measuring the formation settlement information from the ground to a preset formation; the device includes: a transceiver module; a waveguide wire, one end of the waveguide wire is connected to the transceiver module, and the other end of the waveguide wire is arranged in the formation; a protective tube, the protective tube is arranged outside the waveguide wire, and the relative position of the waveguide wire and the protective tube is bound; a plurality of settlement magnetic rings, the plurality of settlement magnetic rings are respectively arranged outside the protective tube, each settlement magnetic ring corresponds to a measurement node, and the plurality of measurement nodes form a measurement array; wherein, the transceiver module stores the initial position information of each settlement magnetic ring, and the transceiver module sends a measurement signal to the waveguide wire; the waveguide wire corresponding to each measurement node is distorted under the action of the settlement magnetic ring, and a reflection signal is generated when the measurement signal passes through the distorted waveguide wire and is reflected back to the transceiver module; the transceiver module determines the measurement position information of the corresponding settlement magnetic ring according to each reflection signal; the transceiver module generates the formation settlement information according to the initial position information and the measurement position information corresponding to each settlement magnetic ring.

[0063] Specifically, this application provides an array-type magnetostrictive large-range layered settlement measurement device, which is mainly used to measure the formation settlement information from the ground to a preset formation. The core of the device is to utilize the magnetostrictive effect to achieve high-precision displacement measurement, and through the array design, to comprehensively and systematically monitor the layered settlement of multi-layer geological structures.

[0064] The transceiver module is responsible for sending measurement signals and receiving reflection signals. The transceiver module stores the initial position information of each settlement magnetic ring for subsequent settlement calculation.

[0065] One end of the waveguide wire is connected to the transceiver module, and the other end is arranged in the formation. The waveguide wire is the main carrier of the magnetostrictive effect, and the settlement information is reflected through its deformation.

[0066] The protective tube is arranged outside the waveguide wire to protect the waveguide wire and fix its relative position with the protective tube to ensure the stability of the measurement.

[0067] A plurality of settlement magnetic rings are respectively arranged outside the protective tube, each settlement magnetic ring corresponds to a measurement node, and a measurement array is formed. The settlement magnetic ring affects the deformation of the waveguide wire through the magnetic field change, thereby generating a reflection signal.

[0068] The transceiver module sends a measurement signal to the waveguide wire. The signal propagates in the waveguide wire. When passing through the measurement nodes corresponding to each settlement magnetic ring, due to the magnetic field of the settlement magnetic ring, the waveguide wire is distorted and deformed, generating a reflected signal and returning to the transceiver module. The transceiver module determines the measurement position information of each settlement magnetic ring according to the received reflected signal. By comparing with the initial position information, the settlement amount of the formation is calculated. Finally, the transceiver module synthesizes the data of all measurement nodes to generate formation settlement information, including the settlement amount and settlement trend of each layer.

[0069] The specific usage process of the provided device is as follows: First, install the waveguide wire and the protection tube into the formation according to the design requirements to ensure the relative position of the waveguide wire and the protection tube is fixed. Then, install the settlement magnetic rings on the outer side of the protection tube according to the preset measurement node positions. Finally, record the initial position information of each settlement magnetic ring through the transceiver module to complete the calibration. During the measurement process, the transceiver module regularly sends measurement signals, receives reflected signals, and processes data in real time to generate settlement information. Through long-term data accumulation, analyze the settlement trend of the formation, detect abnormal settlement in time, and provide data support for geological disaster warning.

[0070] Utilize the magnetostrictive effect to achieve high-precision displacement measurement with a resolution up to the micron level, meeting the precise monitoring requirements under complex geological conditions. Through the array design, multiple formations can be monitored for settlement simultaneously, with a wide coverage range and strong adaptability. The device has a high degree of automation, high data acquisition efficiency, reduces manual intervention, and lowers labor costs. The device structure is stable, suitable for long-term monitoring, with high data reliability, providing a reliable basis for geological disaster warning. The device structure is simple, easy to maintain, and relatively low in cost, suitable for large-scale popularization and application.

[0071] In summary, the array-type magnetostrictive large-range layered settlement measurement device of the present application, through innovative magnetostrictive technology and array design, solves the deficiencies of traditional settlement measurement methods in terms of accuracy, range, efficiency, and cost, and provides an efficient, precise, and economical settlement monitoring solution for fields such as civil engineering, geological exploration, and environmental monitoring.

[0072] Please refer to Figure 2 , Figure 2 which is a schematic flowchart of an array-type magnetostrictive large-range layered settlement measurement method provided by an embodiment of the present application. The execution device of the method is the transceiver module of the sensor provided by any embodiment of the present application.

[0073] As Figure 2 shown, the provided method includes steps S101 to S104. Among them, the transceiver module can be a handheld terminal, a laptop, a wearable device, or a robot, etc. It is used to implement steps S101 to S104 and their corresponding embodiments.

[0074] Step S101. Obtain the initial position information of each measurement node.

[0075] Specifically, step S101 is the initial stage of the array-type magnetostrictive large-range layered settlement measurement method. Its core task is to obtain and record the position information of each measurement node (i.e., each settlement magnetic ring) in the initial state. This step provides the reference data for subsequent settlement measurements and is a key link to ensure the accuracy and comparability of measurement results. The initial position information not only includes the spatial coordinates of each measurement node, but may also include parameters such as its magnetic field strength, the length and wave velocity of the waveguide wire. These data together constitute the basis for subsequent settlement calculations.

[0076] After the device is installed, first, the waveguide wire and the protective tube need to be fixed in the formation according to the design requirements to ensure their close and stable contact with the formation. Subsequently, the settlement magnetic rings are installed on the outside of the protective tube at the preset measurement node positions, and each settlement magnetic ring corresponds to a measurement node. After installation, each measurement node is calibrated through the transceiver module. During the calibration process, the transceiver module sends an initial measurement signal, records the position information of each settlement magnetic ring, and stores it as the initial position information. The initial position information can be stored in the local memory of the transceiver module or uploaded to the cloud database to ensure the long-term preservation and traceability of the data. To improve the reliability of the data, the initial position information can be collected multiple times at different time intervals, and the average value is taken as the final reference data. After obtaining the initial position information, the accuracy of the data is verified through multiple measurements. If it is found that the data is deviated, it can be corrected by adjusting the position of the settlement magnetic ring or re-calibrating. During the verification process, the fixing conditions of the waveguide wire and the protective tube can also be checked to ensure that they will not be displaced or deformed during the measurement process.

[0077] The initial position information provides an accurate reference for subsequent settlement measurements, ensuring the reliability and comparability of measurement results. The stored initial position information can be used for data comparison and analysis in long-term monitoring, improving the scientificity and systematicness of monitoring. Through calibration and verification, human errors and equipment errors are reduced, and the measurement accuracy is improved. The process of obtaining and storing the initial position information is automated, reducing manual intervention and improving the monitoring efficiency.

[0078] Step S102. Control the transceiver module to send a measurement signal to the formation through the waveguide wire, so that when the measurement signal passes through the measurement node, the waveguide wire corresponding to each measurement node is distorted and deformed under the action of the settlement magnetic ring, and a reflection signal is generated when the measurement signal passes through the distorted waveguide wire and is reflected back to the transceiver module.

[0079] Specifically, step S102 is one of the core steps of the array magnetostrictive large-range hierarchical settlement measurement method. Its core task is to send a measurement signal to the waveguide wire through the transceiver module and receive the reflected signal. When the measurement signal propagates in the waveguide wire, it will undergo a distorted deformation when passing through each measurement node (settlement magnetic ring), generating a reflected signal and returning to the transceiver module. This step uses the magnetostrictive effect to achieve high-precision displacement measurement, which is a key technology for settlement monitoring.

[0080] The transceiver module generates a measurement signal with a specific frequency and amplitude and sends it into the formation through the waveguide wire. The frequency and amplitude of the measurement signal can be adjusted according to specific monitoring requirements to ensure the accuracy and stability of the measurement. To improve the stability of signal propagation, an appropriate medium can be filled between the waveguide wire and the protective tube to reduce signal attenuation and interference.

[0081] When the measurement signal propagates in the waveguide wire, it passes through the measurement nodes corresponding to each settlement magnetic ring. Due to the magnetic field effect of the settlement magnetic ring, the waveguide wire undergoes a distorted deformation, resulting in signal reflection. The magnetic field strength of the settlement magnetic ring and the physical characteristics of the waveguide wire (such as length, wave velocity, etc.) jointly determine the degree of signal deformation, thus affecting the characteristics of the reflected signal.

[0082] The reflected signal returns to the transceiver module, and the transceiver module records information such as the time, intensity, and phase of each reflected signal. To improve the accuracy of signal reception, multi-channel reception technology can be adopted to receive multiple reflected signals simultaneously. The received reflected signals can be stored in the local memory of the transceiver module or uploaded to the cloud database for subsequent data processing and analysis.

[0083] High-precision displacement measurement is achieved through the magnetostrictive effect, with a resolution up to the micron level. The signal propagation and reflection process are almost instantaneous, enabling real-time monitoring and meeting the requirements of dynamic settlement monitoring. The signal sending and receiving process is fully automated, reducing manual intervention and improving measurement efficiency. Through the array design, multiple measurement nodes can be monitored simultaneously, with a wide coverage range and strong adaptability.

[0084] Step S103. Determine the measurement position information of the corresponding measurement node according to each reflected signal.

[0085] Specifically, step S103 is a key data processing step of the array magnetostrictive large-range hierarchical settlement measurement method. Its core task is to analyze the reflected signal to determine the actual position information of each measurement node during measurement. This step uses signal processing technology and combines the physical characteristics of the waveguide wire to calculate the actual position information of each measurement node, providing data support for subsequent settlement calculations.

[0086] The transceiver module processes the received reflected signals and extracts features such as the time delay, intensity, and phase of the signals. To improve the accuracy of signal processing, digital signal processing techniques such as Fourier transform and wavelet transform can be used. During the signal processing, the signals can also be filtered and denoised to reduce the influence of environmental interference on the measurement results.

[0087] Based on the signal features and combined with the physical properties of the waveguide wires (such as wave velocity, length, etc.), the actual position information of each measurement node is calculated. During the position calculation, mathematical models and algorithms such as the least squares method and Kalman filter can be used to improve the accuracy and stability of the calculation. To improve the accuracy of position calculation, multiple measurements can be taken at different time periods and the average value can be used as the final result. The measured position information is stored in the transceiver module for subsequent settlement calculation. To improve the reliability of the data, redundant storage technology can be used to store the data locally and in the cloud simultaneously.

[0088] Through signal processing technology, high-precision position positioning is achieved to ensure the accuracy of the settlement amount. The signal processing algorithm is optimized with fast calculation speed to meet the requirements of large-scale monitoring. Through multiple measurements and verifications, the reliability of the measured position information is ensured. The accurate position information provides a scientific basis for engineering design and disaster warning, improving the scientific nature of decision-making.

[0089] Step S104. Generate the formation settlement information according to the initial position information and the measured position information corresponding to each measurement node.

[0090] Specifically, step S104 is the final link of the array-type magnetostrictive large-range hierarchical settlement measurement method. Its core task is to calculate the settlement amount of each measurement node by comparing the initial position information and the measured position information, and generate the formation settlement information. This step synthesizes the data of all measurement nodes, analyzes the overall settlement trend of the formation, and provides a scientific basis for engineering design and disaster warning.

[0091] For each measurement node, calculate the difference between its measured position information and the initial position information to obtain the settlement amount. To improve the accuracy of settlement amount calculation, the weighted average method can be used to weight the data of different measurement nodes. During the settlement amount calculation, the physical properties of the formation (such as density, elastic modulus, etc.) can also be considered to improve the scientific nature of the calculation.

[0092] Integrate the settlement amounts of all measurement nodes to analyze the overall settlement trend of the strata. To improve the accuracy of data analysis, statistical methods such as regression analysis and time series analysis can be adopted. During the data analysis process, geological exploration data such as stratum structure and groundwater level can also be combined to enhance the scientific nature of the analysis. Output the settlement information in the form of charts or reports for users to intuitively understand the stratum settlement situation. To improve the intuitiveness of the result output, visualization techniques such as 3D modeling and heat maps can be used. During the result output process, a settlement trend prediction report can also be generated to provide a scientific basis for long-term monitoring for users.

[0093] If the settlement amount exceeds the preset threshold, the transceiver module can automatically send out a warning signal to remind the user to take corresponding measures. To improve the accuracy of the warning, a multi-level warning mechanism can be adopted, and different warning levels are set according to different settlement amounts. The warning signal can be sent in various ways such as text messages, emails, APP push, etc. to ensure that the user receives the warning information in a timely manner.

[0094] Through multi-node measurement, comprehensive monitoring of stratum settlement is achieved with a wide coverage. The generated settlement information provides a scientific basis for engineering design and disaster warning, improving the scientific nature of decision-making. The automatic warning mechanism can promptly detect abnormal settlement and reduce the risk of geological disasters. The settlement information is presented in an intuitive form, facilitating user understanding and analysis. Through long-term data accumulation, analyze the settlement trend of the strata to provide a scientific basis for engineering design and disaster warning.

[0095] In summary, steps S101 to S104 constitute the core process of the array-type magnetostrictive large-range hierarchical settlement measurement method. By obtaining the initial position information, sending measurement signals, determining the measurement position information, and generating settlement information, this method realizes high-precision, efficient, and comprehensive monitoring of stratum settlement. Its technical advantages lie in high-precision measurement, automated operation, real-time monitoring, and scientific warning, providing strong technical support for fields such as civil engineering, geological exploration, and environmental monitoring.

[0096] In some embodiments, the determining the measurement position information of the corresponding measurement node according to each reflection signal includes: obtaining the propagation speed of the measurement signal in the waveguide wire; obtaining the propagation time corresponding to each reflection signal; calculating the measurement position information according to the propagation speed and the propagation time; determining the target initial position information corresponding to the measurement position information among multiple pieces of the initial position information; and determining the measurement node corresponding to the measurement position information according to the target initial position information.

[0097] The specific implementation scheme for determining the position information of measurement nodes according to the reflected signal in this embodiment. Its core is to calculate the actual position information of each measurement node by measuring the propagation speed of the signal in the waveguide wire and the propagation time of the reflected signal, and combining the initial position information. The specific steps are as follows:

[0098] 1. Obtain the propagation speed of the measurement signal in the waveguide wire: The propagation speed of the waveguide wire is a known physical parameter, usually determined by the material properties of the waveguide wire (such as elastic modulus, density, etc.). When the device is installed, the propagation speed of the waveguide wire can be determined through experiments or theoretical calculations. To improve the accuracy of the propagation speed, multiple measurements can be carried out under different environmental conditions (such as temperature, pressure, etc.), and the average value is taken as the final propagation speed.

[0099] 2. Obtain the propagation time corresponding to each reflected signal: The transceiver module records the time difference between the transmission of the measurement signal and the reception of the reflected signal, that is, the propagation time. The propagation time reflects the time for the measurement signal to propagate to the measurement node in the waveguide wire and return. To improve the accuracy of the propagation time, a high-precision timer can be used to reduce the timing error.

[0100] 3. Calculate the measurement position information according to the propagation speed and the propagation time: Use the formula to calculate the measurement position information, where is the distance from the measurement node to the transceiver module, is the propagation speed, is the propagation time. To improve the accuracy of the position calculation, the method of taking the average value of multiple measurements can be used to reduce the random error.

[0101] 4. Determine the target initial position information among multiple initial position information: Compare the calculated measurement position information with the initial position information to determine the target initial position information. The target initial position information is the position information of the measurement node in the initial state and is used for subsequent settlement calculations. To improve the accuracy of the target initial position information, the nearest neighbor algorithm can be used to match the measurement position information with the nearest initial position information.

[0102] 5. Determine the measurement node according to the target initial position information: Through the target initial position information, determine the position of the measurement node in the measurement array, providing a basis for subsequent settlement calculations.

[0103] Through the precise calculation of the propagation speed and the propagation time, high-precision position positioning is achieved, ensuring the accuracy of the settlement amount. Through the optimization of the signal processing algorithm, the calculation speed is fast, meeting the needs of large-scale monitoring. Through multiple measurements and verifications, the reliability of the measurement position information is ensured. Accurate position information provides a scientific basis for engineering design and disaster warning, improving the scientific nature of decision-making. The position calculation process is completely automated, reducing manual intervention and improving the measurement efficiency.

[0104] Exemplarily, determining the target initial position information corresponding to the measurement position information among the multiple pieces of initial position information includes: calculating the position deviation between the measurement position information and each piece of initial position information; determining the initial position information with the position deviation within a preset deviation range as the target initial position information.

[0105] This example is a specific implementation solution for determining the target initial position information among the multiple pieces of initial position information in the above embodiment. Its core is to determine the initial position information with the position deviation within a preset deviation range as the target initial position information by calculating the position deviation between the measurement position information and each piece of initial position information. Specifically, it includes the following steps:

[0106] 1. Calculate the position deviation between the measurement position information and each piece of initial position information: For example, using the formula:

[0107] Calculate the position deviation where is the measurement position information, and is the initial position information. To improve the accuracy of the position deviation calculation, a three-dimensional space distance formula can be used, considering the position relationship of the measurement nodes in space.

[0108] 2. Determine the initial position information with the position deviation within a preset deviation range as the target initial position information: The preset deviation range is set according to specific monitoring requirements and usually includes a maximum allowable deviation value. If the position deviation is less than the maximum allowable deviation value, then the initial position information is determined as the target initial position information. To improve the accuracy of the target initial position information, a weighted average method can be used to perform weighted processing on multiple candidate initial position information to determine the final target initial position information.

[0109] Through the position deviation calculation and the screening of the preset deviation range, the accuracy of the target initial position information is ensured, and the matching error is reduced. Through multiple measurements and verifications, the reliability of the target initial position information is ensured, and the scientificity and systematicness of the monitoring are improved. The determination process of the target initial position information is completely automated, reducing manual intervention and improving the measurement efficiency. The accurate target initial position information provides a scientific basis for engineering design and disaster warning, improving the scientificity of decision-making. The preset deviation range can be adjusted according to specific monitoring requirements to adapt to different monitoring environments and accuracy requirements.

[0110] In some embodiments, generating the formation settlement information according to the initial position information and the measurement position information corresponding to each measurement node includes: calculating the node settlement information corresponding to each measurement node according to the initial position information and the measurement position information; and generating the formation settlement information according to each piece of the node settlement information.

[0111] This embodiment is a specific implementation scheme in the array-type magnetostrictive large-range layered settlement measurement method for generating formation settlement information according to the initial position information and the measurement position information. Its core is to calculate the settlement amount of each measurement node and generate the formation settlement information by combining the formation structure and the monitoring requirements. Specifically, it includes the following steps:

[0112] 1. Calculating the node settlement information corresponding to each measurement node according to the initial position information and the measurement position information: For each measurement node, calculate the difference between its measurement position information and the initial position information to obtain the node settlement information. The node settlement information reflects the settlement amount of this measurement node during the monitoring period. In order to improve the accuracy of the settlement amount calculation, the weighted average method can be used to perform weighted processing on the data of different measurement nodes.

[0113] 2. Generating the formation settlement information according to each piece of the node settlement information: Synthesize the settlement amounts of all measurement nodes and analyze the overall settlement trend of the formation. In order to improve the accuracy of data analysis, statistical methods such as regression analysis and time series analysis can be used. The formation settlement information can include the settlement amount, settlement rate, settlement trend, etc. of each layer, providing a scientific basis for engineering design and disaster warning.

[0114] Through multi-node measurement, comprehensive monitoring of the formation settlement is realized, with a wide coverage range. The generated settlement information provides a scientific basis for engineering design and disaster warning, improving the scientific nature of decision-making. The automatic warning mechanism can detect abnormal settlement in a timely manner, reducing the risk of geological disasters. The settlement information is presented in an intuitive form, facilitating user understanding and analysis. Through long-term data accumulation, the settlement trend of the formation is analyzed, providing a scientific basis for engineering design and disaster warning.

[0115] Exemplarily, generating the formation settlement information according to each piece of the node settlement information includes: obtaining the node weight corresponding to each measurement node according to the initial position information of each measurement node; and generating the formation settlement information according to the node weight and the node settlement information corresponding to each measurement node.

[0116] This example is a specific implementation scheme for generating formation settlement information according to the node settlement information. Its core is to obtain the node weight of each measurement node and generate the formation settlement information by combining the node settlement information. Specifically, it includes the following steps:

[0117] 1. Obtain the node weight corresponding to each measurement node according to the initial position information of each measurement node:

[0118] The node weight reflects the importance of the measurement node in the formation structure and is usually determined by the physical properties of the formation (such as density, elastic modulus, etc.) and monitoring requirements. To improve the accuracy of the node weight, geological exploration data such as formation structure, groundwater level, etc. can be used for weighting processing.

[0119] 2. Generate formation settlement information according to the node weight and node settlement information corresponding to each measurement node: Use the formula to generate formation settlement information, where is the formation settlement information, is the node weight of the th measurement node, is the node settlement information of the th measurement node. To improve the accuracy of the formation settlement information, the weighted average method can be used to weight the data of different measurement nodes.

[0120] Through the weighting process of the node weight and node settlement information, ensure the accuracy of the formation settlement information and reduce measurement errors. Through multiple measurements and verifications, ensure the reliability of the formation settlement information, improve the scientificity and systematicness of monitoring. Accurate formation settlement information provides a scientific basis for engineering design and disaster warning, and improves the scientificity of decision-making. The formation settlement information is presented in an intuitive form, which is convenient for users to understand and analyze. The node weight can be adjusted according to specific monitoring requirements to adapt to different monitoring environments and accuracy requirements.

[0121] It should be noted that in some embodiments, obtaining the node weight corresponding to each measurement node according to the initial position information of each measurement node includes: obtaining the topographic information corresponding to the formation; constructing a weight function according to the topographic information, where the weight function is used to characterize the functional relationship between the measuring point position information and the weight value; obtaining the node weight corresponding to each measurement node according to the initial position information of each measurement node in the functional relationship.

[0122] The specific implementation solution of this embodiment for constructing a weight function according to topographic information. Its core is to obtain the topographic information corresponding to the formation and construct a weight function to characterize the functional relationship between the measuring point position information and the weight value. Specifically, it includes the following steps:

[0123] 1. Obtain the topographic information corresponding to the formation: The topographic information includes the undulation, slope, slope direction, etc. of the surface, and is usually obtained through geological exploration, remote sensing technology or topographic maps. To improve the accuracy of the topographic information, high-precision measurement equipment such as lidar (LiDAR) or unmanned aerial vehicle mapping can be used.

[0124] 2. Construct a weight function based on the terrain information: The weight function is used to characterize the functional relationship between the measuring point position information and the weight value, which is usually determined by the physical characteristics of the terrain (such as slope, aspect, etc.) and the monitoring requirements. The weight function can take forms such as linear function, polynomial function, or exponential function, and the specific form is determined according to the terrain information and the monitoring requirements.

[0125] 3. Obtain the node weight corresponding to each measurement node in the functional relationship according to the initial position information of each measurement node: Using the weight function, calculate the corresponding node weight according to the initial position information of each measurement node. The node weight reflects the importance of the measurement node in the stratum structure. To improve the accuracy of the node weight, the method of taking the average of multiple measurements can be adopted to reduce random errors.

[0126] Construct a weight function through the terrain information to ensure the accuracy of the node weight and reduce measurement errors. Through multiple measurements and verifications, ensure the reliability of the node weight, and improve the scientificity and systematicness of monitoring. The accurate node weight provides a scientific basis for engineering design and disaster warning, and improves the scientificity of decision-making. The weight function is presented in an intuitive form, which is convenient for users to understand and analyze. The weight function can be adjusted according to specific monitoring requirements to adapt to different monitoring environments and accuracy requirements.

[0127] Among them, the expression of the node weight includes . is the node weight of the th measurement node, is the terrain height corresponding to the th measurement node (obtained based on the terrain information), is the slope corresponding to the th measurement node (obtained based on the terrain information). is the horizontal distance between the measurement node and the center point of the monitoring area, which is calculated by the Euclidean distance formula. , and are weight coefficients, which are used to adjust the influence degree of terrain height, slope, and distance on the node weight. These coefficients can be adjusted according to specific monitoring requirements and satisfy . The terrain height and the slope reflect the physical characteristics of the stratum and directly affect the node weight. The reciprocal of indicates that the measurement node closer to the center of the monitoring area has a greater weight to ensure the monitoring accuracy of the central area.

[0128] It should be noted that, in some embodiments, constructing the weight function according to the terrain information includes: obtaining the depth information from the ground to the preset formation; inputting the terrain information and the depth information into a preset weight prediction model, and the weight prediction model outputs the functional relationship corresponding to the measuring point position information and the weight value.

[0129] This embodiment is used for the specific implementation scheme of constructing a weight prediction model according to depth information. Its core is to construct a weight prediction model by obtaining the depth information from the ground to the preset formation and combining the terrain information, so as to output the functional relationship corresponding to the measuring point position information and the weight value. It specifically includes the following steps:

[0130] 1. Obtain the depth information from the ground to the preset formation: The depth information includes the vertical distance from the ground to the preset formation, which is usually obtained through geological exploration, borehole measurement or seismic wave detection. In order to improve the accuracy of the depth information, high-precision measurement equipment such as borehole depth gauges or seismic wave detectors can be used.

[0131] 2. Input the terrain information and the depth information into a preset weight prediction model: The weight prediction model is a mathematical model used to generate the functional relationship between the measuring point position information and the weight value according to the terrain information and the depth information. The weight prediction model can adopt machine learning algorithms such as linear regression, support vector machine (SVM) or neural network, and the specific algorithm is determined according to the monitoring requirements.

[0132] 3. The weight prediction model outputs the functional relationship corresponding to the measuring point position information and the weight value: The weight prediction model outputs the functional relationship between the measuring point position information and the weight value, which is usually presented in the form of a mathematical formula or a chart. In order to improve the accuracy of the functional relationship, cross-validation techniques can be used to verify and optimize the weight prediction model.

[0133] Constructing a weight prediction model through depth information and terrain information ensures the accuracy of the functional relationship and reduces prediction errors. Through multiple measurements and verifications, the reliability of the functional relationship is ensured, and the scientific nature and systematicness of monitoring are improved. The accurate functional relationship provides a scientific basis for engineering design and disaster warning, and improves the scientific nature of decision-making. The calculation of the functional relationship is based on terrain information and depth information, and the relationship between the measuring point position information and the weight value is output through the weight prediction model. The functional relationship is presented in an intuitive form, which is convenient for users to understand and analyze. The weight prediction model can be adjusted according to specific monitoring requirements to adapt to different monitoring environments and accuracy requirements.

[0134] In some embodiments, obtaining the initial position information of each measurement node includes: when one of the settlement magnetic rings is set up, controlling the transceiver module to send a measurement signal to the formation through the waveguide wire to determine the initial position information of the corresponding measurement node according to the received reflection signal.

[0135] This embodiment is a specific implementation scheme for obtaining the initial position information of each measurement node in the array-type magnetostrictive large-range layered settlement measurement method. Its core is that when each settlement magnetic ring is set up, a measurement signal is sent to the waveguide wire through the transceiver module, and the initial position information of the corresponding measurement node is determined according to the received reflection signal. The specific steps are as follows:

[0136] 1. Sending a measurement signal when the settlement magnetic ring is set up: After each settlement magnetic ring is installed on the outside of the protection tube and fixed, immediately control the transceiver module to send a measurement signal to the waveguide wire. The frequency and amplitude of the measurement signal can be adjusted according to specific monitoring requirements to ensure the accuracy and stability of the measurement. To improve the stability of signal propagation, an appropriate medium can be filled between the waveguide wire and the protection tube to reduce signal attenuation and interference.

[0137] 2. Receiving the reflection signal and recording data: When the measurement signal propagates in the waveguide wire and passes through the measurement node corresponding to the settlement magnetic ring, due to the magnetostrictive effect, the waveguide wire undergoes a torsional deformation, generating a reflection signal and returning to the transceiver module. The transceiver module records information such as the time, intensity, and phase of each reflection signal. To improve the accuracy of signal reception, multi-channel reception technology can be adopted to receive multiple reflection signals simultaneously.

[0138] 3. Determining the initial position information according to the reflection signal: Use the formula to calculate the initial position information, where is the initial distance from the measurement node to the transceiver module, is the propagation speed of the waveguide wire, is the propagation time of the reflection signal. To improve the accuracy of the initial position information, the method of taking the average of multiple measurements can be adopted to reduce random errors.

[0139] 4. Storing the initial position information: Store the initial position information in the local memory of the transceiver module or upload it to the cloud database to ensure the long-term preservation and traceability of the data. To improve the reliability of the data, redundant storage technology can be adopted to store the data locally and in the cloud simultaneously.

[0140] Through the precise calculation of the reflection signal, high-precision initial position positioning is achieved, ensuring the accuracy of the settlement amount. Collect the initial position information immediately when the settlement magnetic ring is set up to ensure the timeliness and accuracy of the data. Through multiple measurements and verifications, the reliability of the initial position information is ensured, improving the scientificity and systematicness of the monitoring. Accurate initial position information provides a scientific basis for engineering design and disaster warning, improving the scientificity of decision-making. The process of obtaining and storing the initial position information is completely automated, reducing manual intervention and improving the measurement efficiency.

[0141] In some embodiments, during the process of obtaining the position information of the measurement node, multi-source data such as GPS, inertial navigation system (INS), and laser rangefinder are combined to assist in correcting the measurement results of the waveguide wire. For example, in step S101, the absolute position information of the measurement node is obtained through GPS and compared with the measurement results of the waveguide wire to correct the errors of the propagation speed and propagation time. The Kalman filter or particle filter algorithm is used to fuse the multi-source data to generate more accurate measurement position information. In step S104, the result after fusing the multi-source data is used as the initial position information to improve the accuracy of subsequent settlement monitoring.

[0142] Through the fusion of multi-source data, the errors of a single measurement method are significantly reduced, and the accuracy of the position information is improved. With the support of multi-source data, the system can adapt to complex environments (such as strong electromagnetic interference, signal attenuation, etc.) to ensure the reliability of the measurement. The high-precision measurement results provide a more reliable basis for engineering design and disaster warning.

[0143] In some embodiments, in step S101, a temperature sensor and a pressure sensor are introduced to real-time monitor the ambient temperature and pressure around the waveguide wire, and the propagation speed of the waveguide wire is dynamically adjusted according to the environmental parameters.

[0144] For example, use the formula to correct the propagation speed, where is the reference speed, is the temperature coefficient, and is the temperature change. In step S103, the measurement position information is recalculated according to the corrected propagation speed to ensure the accuracy of the position information. Through the automatic correction function of the transceiver module, manual intervention is reduced, and the measurement efficiency is improved. By dynamically correcting the propagation speed, the accuracy of the measurement results under different environmental conditions is ensured. The real-time correction mechanism reduces the influence of environmental factors on the measurement results and improves the reliability of the data. The automatic correction mechanism reduces manual intervention and improves the measurement efficiency.

[0145] Among them, The temperature coefficient is measured by controlling the temperature change in the laboratory environment and measuring the propagation speed of the waveguide wire at different temperatures. For example, at temperatures and the propagation speeds and are measured respectively. Use the formula to calculate the temperature coefficient. is the propagation speed at the reference temperature .

[0146] In some embodiments, in step S104, the initial position information and the measured position information are stored in a database to accumulate long-term monitoring data. Using time series analysis or machine learning algorithms (such as LSTM neural networks), analyze the settlement trend of the formation. According to historical data, predict the formation settlement amount within a certain period in the future and generate a settlement trend graph. For example, using the formula to predict the settlement amount at time , where is the initial settlement amount, and is the settlement rate. Through settlement trend prediction, potential geological disaster risks can be discovered in advance, providing a scientific basis for disaster warning. The settlement trend prediction results provide a scientific basis for engineering design and construction, improving the scientific nature of decision-making. The settlement trend graph is presented in an intuitive form, facilitating user understanding and analysis.

[0147] In some embodiments, before generating the formation settlement information according to the initial position information and the measured position information corresponding to each measurement node, it further includes: performing real-time analysis on the measured position information according to a preset anomaly detection algorithm; if abnormal data is identified in the measured position information, generating a warning message according to a preset warning mechanism; wherein, if it is confirmed according to the measured position information that the settlement amount of any one of the measurement nodes exceeds a preset threshold, the measured position information corresponding to the measurement node is confirmed as the abnormal data.

[0148] In step S103, an anomaly detection algorithm (such as Isolation Forest or K-means clustering) is introduced to perform real-time analysis on the measured position information to identify abnormal data. For example, when the settlement amount of a certain measurement node exceeds a preset threshold, the system automatically marks it as abnormal (where the size of the preset threshold corresponding to the settlement amount is determined according to the actual scenario and requirements, and the embodiments of the present application do not limit this). In step S104, when abnormal data is detected, the method automatically triggers a warning mechanism to generate a warning message, such as notifying relevant personnel by text message, email or audible and visual alarm. Through intelligent anomaly detection, abnormal situations in formation settlement can be discovered in a timely manner, reducing the risk of geological disasters. The automatic warning mechanism reduces manual intervention and improves the monitoring efficiency. The anomaly detection results provide a scientific basis for disaster warning and emergency response.

[0149] In some embodiments, before obtaining the initial position information of each measurement node, it further includes: forming a distributed monitoring network with multiple measurement nodes to cover a larger formation area, and uploading the initial position information corresponding to the measurement nodes to a preset cloud platform through wireless communication technology.

[0150] By forming a distributed monitoring network with multiple measurement nodes, a larger range of formation areas can be covered. Through wireless communication technologies (such as LoRa or 5G), the measurement data is transmitted to the cloud platform.

[0151] The distributed monitoring system covers a larger range of formation areas, improving the comprehensiveness of monitoring. The cloud platform integrates to achieve data sharing and collaboration, facilitating multi-department cooperation and decision-making. The cloud platform provides efficient data analysis tools to improve data processing efficiency.

[0152] Exemplarily, after generating the formation settlement information according to the initial position information and measurement position information corresponding to each measurement node, it further includes: uploading the formation settlement information to the cloud platform for generating a formation settlement map and a trend analysis report in the cloud platform.

[0153] In step S104, the measurement position information and settlement information are uploaded to the cloud platform to achieve centralized storage and analysis of data. Through the visualization tool of the cloud platform, a formation settlement map and a trend analysis report are generated.

[0154] The embodiment of the present application further provides an array type magnetostrictive large-range layered settlement measurement device. The array type magnetostrictive large-range layered settlement measurement device is used to execute the steps of the array type magnetostrictive large-range layered settlement measurement method shown in the above embodiments. The array type magnetostrictive large-range layered settlement measurement device can be a single server or a server cluster, or the array type magnetostrictive large-range layered settlement measurement device can be a terminal, and the terminal can be a handheld terminal, a laptop computer, a wearable device or a robot, etc.

[0155] The array type magnetostrictive large-range layered settlement measurement device includes:

[0156] An information acquisition unit for acquiring the initial position information of each measurement node;

[0157] A signal sending unit for controlling the transceiver module to send a measurement signal to the formation through a waveguide wire, so that when the measurement signal passes through the measurement node, the waveguide wire corresponding to each measurement node is twisted and deformed under the action of the settlement magnetic ring, and a reflection signal is generated when the measurement signal passes through the twisted and deformed waveguide wire and is reflected back to the transceiver module;

[0158] A position determination unit for determining the measurement position information of the corresponding measurement node according to each reflection signal;

[0159] An information generation unit, configured to generate the formation settlement information according to the initial position information and the measured position information corresponding to each measurement node, including: calculating the node settlement information corresponding to each measurement node according to the initial position information and the measured position information; generating the formation settlement information according to each node settlement information, including: obtaining the node weight corresponding to each measurement node according to the initial position information of each measurement node, including: obtaining the terrain information corresponding to the formation; constructing a weight function according to the terrain information, where the weight function is used to represent the functional relationship between the measuring point position information and the weight value; obtaining the node weight corresponding to each measurement node in the functional relationship according to the initial position information of each measurement node; generating the formation settlement information according to the node weight and the node settlement information corresponding to each measurement node.

[0160] It should be noted that those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes of the above-described array type magnetostrictive large-range layered settlement measurement device and each unit can refer to the corresponding processes in the embodiments of the array type magnetostrictive large-range layered settlement measurement method described above, and will not be elaborated here.

[0161] The above monitoring based on the data asset management platform can be implemented in the form of a computer program, and this computer program can run on the above device.

[0162] Please refer to Figure 3 , Figure 3 FIG. is a schematic block diagram of the structure of the transceiver module provided by an embodiment of the present application. The transceiver module includes a processor, a memory, and a network interface connected through a device bus. Among them, the memory may include a storage medium and an internal memory.

[0163] The storage medium can store an operating device and a computer program. The computer program includes program instructions, and when the program instructions are executed, the processor can be made to execute any monitoring based on the data asset management platform.

[0164] The processor is used to provide computing and control capabilities to support the operation of the entire transceiver module.

[0165] The internal memory provides an environment for the operation of the computer program in the non-volatile storage medium. When the computer program is executed by the processor, the processor can be made to execute any monitoring based on the data asset management platform.

[0166] The network interface is used for network communication, such as sending assigned tasks, etc. Those skilled in the art can understand that Figure 3The structure shown is only a block diagram of some structures related to the solution of this application, and does not constitute a limitation on the terminal to which the solution of this application is applied. The specific transceiver module may include more or fewer components than those shown in the figure, or combine some components, or have a different component arrangement.

[0167] It should be understood that the processor may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Among them, the general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0168] Among them, in one embodiment, the processor is used to run a computer program stored in the memory to implement the following steps:

[0169] Obtain the initial position information of each measurement node;

[0170] Control the transceiver module to send a measurement signal to the formation through the waveguide wire. When the measurement signal passes through the measurement node, the waveguide wire corresponding to each measurement node is twisted and deformed under the action of the settlement magnetic ring, and a reflection signal is generated when the measurement signal passes through the twisted and deformed waveguide wire and is reflected back to the transceiver module;

[0171] Determine the measurement position information of the corresponding measurement node according to each reflection signal;

[0172] Generate the formation settlement information according to the initial position information and the measurement position information corresponding to each measurement node, including: calculating the node settlement information corresponding to each measurement node according to the initial position information and the measurement position information; generating the formation settlement information according to each node settlement information, including: obtaining the node weight corresponding to each measurement node according to the initial position information of each measurement node, including: obtaining the terrain information corresponding to the formation; constructing a weight function according to the terrain information, and the weight function is used to characterize the functional relationship between the measurement point position information and the weight value; obtaining the node weight corresponding to each measurement node in the functional relationship according to the initial position information of each measurement node; generating the formation settlement information according to the node weight and the node settlement information corresponding to each measurement node.

[0173] It should be noted that those skilled in the art can clearly understand that for the convenience and conciseness of description, the specific working process of the above-described processor can refer to the corresponding process in the method embodiments described in the above-mentioned various embodiments, and will not be elaborated herein.

[0174] An embodiment of the present application further provides a computer-readable storage medium. The computer-readable storage medium stores a computer program, and the computer program includes program instructions. The processor executes the program instructions to implement the steps of the array-type magnetostrictive large-range layered settlement measurement method provided in the above-mentioned various embodiments of the present application.

[0175] Among them, the computer-readable storage medium may be an internal storage unit of the transceiver module described in the foregoing embodiment, such as the hard disk or memory of the transceiver module. The computer-readable storage medium may also be an external storage device of the transceiver module, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the transceiver module.

[0176] The above is only the specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art can easily think of various equivalent modifications or substitutions within the technical scope disclosed by the present application, and these modifications or substitutions should all be covered within the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

1. An array-type magnetostrictive large-range layered sedimentation measurement method, applied to a transceiver module of an array-type magnetostrictive large-range layered sedimentation measurement device; The device is used to measure the stratum settlement information from the ground to the preset stratum; the device comprises: Transceiver module; A waveguide wire, one end of which is connected to the transceiver module, and the other end of which is arranged in the formation; A protective tube is arranged outside the waveguide wire, and the relative positions of the waveguide wire and the protective tube are bound; A plurality of sedimentation magnetic rings are respectively arranged on the outside of the protective tube, each sedimentation magnetic ring corresponds to a measurement node, and the plurality of measurement nodes constitute a measurement array; The transceiver module stores the initial position information of each settling magnetic ring; The method comprises: The initial position information of each measurement node is obtained; the ambient temperature and pressure around the waveguide are monitored in real time by introducing a temperature sensor and a pressure sensor, and the propagation speed of the waveguide is dynamically adjusted according to the ambient temperature and pressure; the formula is used Corrected propagation speed, is the base speed, is the temperature coefficient, is the temperature change; recalculate the measurement position information according to the corrected propagation speed; The temperature coefficient is obtained by controlling the temperature change in the laboratory environment and measuring the propagation speed of the waveguide at different temperatures; using the formula Calculate the temperature coefficient; at temperature and The propagation speed is measured and , is the reference temperature The propagation speed under The control transceiver module sends a measurement signal to the formation via the waveguide wire, so that when the measurement signal passes through the measurement node, the waveguide wire corresponding to each measurement node is twisted and deformed under the action of the sedimentation magnetic ring, and a reflection signal is generated when the measurement signal passes through the twisted and deformed waveguide wire and reflected back to the transceiver module; Determine the measurement position information of the corresponding measurement node according to each reflected signal; Generating stratum settlement information according to initial position information and measured position information corresponding to each measurement node, including: calculating node settlement information corresponding to each measurement node according to the initial position information and the measured position information; Generating stratum settlement information according to settlement information of each node, including: obtaining a node weight corresponding to each measurement node according to initial position information of each measurement node, including: obtaining terrain information corresponding to the stratum; constructing a weight function according to the terrain information, the weight function is used to characterize the functional relationship between the measurement point position information and the weight value; obtaining a node weight corresponding to each measurement node in the functional relationship according to the initial position information of each measurement node; generating stratum settlement information according to the node weight corresponding to each measurement node and the node settlement information; The expression of node weight includes , It is The node weights of the measurement nodes, It is The terrain height corresponding to each measurement node is obtained based on the terrain information; It is The slope corresponding to each measurement node is obtained based on terrain information; is the horizontal distance between the measurement node and the center point of the monitoring area, calculated by the Euclidean distance formula; , and is the weight coefficient and satisfies ; Terrain height and slope It reflects the physical characteristics of the stratum and directly affects the node weight; The reciprocal of indicates the measurement node is closer to the center of the monitoring area.

2. The method according to claim 1, characterized in that The step of determining the measurement position information of the corresponding measurement node according to each reflected signal includes: Acquiring the propagation speed of the measurement signal in the waveguide wire; Obtaining a propagation time corresponding to each of the reflected signals; Calculate the measurement position information according to the propagation speed and propagation time; Determining the target initial position information corresponding to the measurement position information from the plurality of initial position information; The measurement node corresponding to the measurement location information is determined according to the target initial location information.

3. The method according to claim 2, characterized in that Determining the target initial position information corresponding to the measured position information from the plurality of initial position information includes: Calculating a position deviation between the measured position information and each of the initial position information; The initial position information whose position deviation is within a preset deviation range is determined as the target initial position information.

4. The method according to claim 1, characterized in that: The constructing a weight function according to the terrain information comprises: Acquire the depth information from the ground to the preset stratum; The terrain information and the depth information are input into a preset weight prediction model, and the weight prediction model outputs the functional relationship between the measuring point position information and the weight value.

5. The method according to claim 1, characterized in that The obtaining of the initial position information of each measurement node includes: When the setting of one of the sedimentation magnetic rings is completed, the transceiver module is controlled to send a measurement signal to the formation via the waveguide wire, so as to determine the initial position information of the corresponding measurement node according to the received reflection signal.

6. The method according to claim 1, characterized in that Before generating the stratum settlement information according to the initial position information and the measured position information corresponding to each measuring node, the method further includes: Performing real-time analysis on the measurement position information according to a preset anomaly detection algorithm; If abnormal data is identified in the measurement location information, an early warning message is generated according to a preset early warning mechanism; wherein, if it is confirmed according to the measurement location information that the settlement amount of any of the measurement nodes exceeds a preset threshold, the measurement location information corresponding to the measurement node is confirmed to be the abnormal data.

7. The method according to claim 1, characterized in that Before obtaining the initial position information of each measurement node, the method further includes: A plurality of the measuring nodes are formed into a distributed monitoring network to cover a wider range of formation areas, and to upload the initial position information corresponding to the measuring nodes to a preset cloud platform through wireless communication technology.

8. The method according to claim 7, characterized in that After generating the stratum settlement information according to the initial position information and the measured position information corresponding to each measuring node, the method further includes: The stratum subsidence information is uploaded to the cloud platform for generating stratum subsidence maps and trend analysis reports in the cloud platform.

9. A transceiver module, characterized in that: The transceiver module includes a memory and a processor; The memory is used to store computer programs; The processor is configured to execute the computer program and implement the method according to any one of claims 1 to 8 when executing the computer program.

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