Array magnetostriction wide-range layered settlement measurement method, device and module

Abstract

The invention discloses an array magnetostriction wide-range layered settlement measurement method, device and module. The method is used for measuring stratum settlement information from the ground to a preset stratum. Comprising a transceiver module; one end of the waveguide wire is connected with the transceiver module, and the other end is arranged on the stratum; the protective tube is arranged on the outer side of the waveguide wire, and the waveguide wire is bound with the relative position of the protective tube; the plurality of settlement magnetic rings are respectively arranged on the outer side of the protection tube, each settlement magnetic ring corresponds to one measurement node, and the plurality of measurement nodes form a measurement array; initial position information of each settlement magnetic ring is stored in the receiving and transmitting module, and the receiving and transmitting module transmits a measurement signal to the waveguide wire; the waveguide wire corresponding to each measurement node is distorted and deformed under the action of the settlement magnetic ring, and a reflected signal is generated when a measurement signal passes through the distorted and deformed waveguide wire and is reflected and recovered to the transmitting module; determining measurement position information of the corresponding settlement magnetic ring according to each reflection signal; and generating stratum settlement information according to the initial position information and the measurement position information.

Description

Technical Field

[0001] The present application relates to the field of distance measurement technology, and in particular to an array-type magnetostrictive large-range layered sedimentation measurement method, device and module. Background Art

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

[0003] In recent years, with the development of sensor technology, magnetic column telescopic sensors have gradually been used in settlement monitoring due to their high precision and high resolution. Magnetic column telescopic 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, making it difficult to achieve comprehensive and systematic monitoring of layered settlement of multi-layer geological structures.

[0004] Therefore, a method is urgently needed to solve at least one of the above technical problems. Summary of the invention

[0005] The present application provides an array-type magnetostrictive large-range stratified 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, have a limited measurement range, and are difficult to achieve comprehensive and systematic monitoring of stratified settlement of multi-layer geological structures.

[0006] In a first aspect, the present application provides an array-type magnetostrictive large-range stratified settlement measuring device for measuring stratum settlement information from the ground to a 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 disposed in the stratum; A protective tube, the 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, wherein the plurality of sedimentation magnetic rings are respectively arranged on the outside of the protective tube, each of the sedimentation magnetic rings corresponds to a measurement node, and the plurality of measurement nodes constitute a measurement array; Among them, the transceiver module stores the initial position information of each of the sedimentation magnetic rings, 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 sedimentation magnetic ring, and when the measurement signal passes through the twisted and deformed waveguide wire, a reflected signal is generated and reflected back to the transceiver module; the transceiver module determines the measurement position information of the corresponding sedimentation magnetic ring according to each reflected signal; the transceiver module generates the formation settlement information according to the initial position information and measurement position information corresponding to each sedimentation magnetic ring.

[0007] The present application provides an array-type magnetostrictive large-range layered sedimentation measuring device, the technical contents of which mainly include the following parts: 1. Transceiver module: used to send measurement signals and receive reflection signals, and store the initial position information of each sedimentation magnetic ring.

[0008] 2. Waveguide: As a medium for signal transmission, one end is connected to the transceiver module and the other end goes deep into the preset formation.

[0009] 3. Protective tube: Wrapped around the outside of the waveguide wire, it is used to protect the waveguide wire and fix its relative position with the protective tube.

[0010] 4. Sedimentation magnetic ring: Multiple sedimentation magnetic rings are installed on the outside of the protective tube. Each sedimentation magnetic ring corresponds to a measurement node to form a measurement array.

[0011] The measurement signal is sent to the waveguide wire through the transceiver module. When the formation settles, 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 affects the propagation characteristics of the signal, causing the measurement signal to generate a reflection signal when passing through the waveguide wire and return to the transceiver module. The transceiver module calculates the measurement position information of the corresponding settlement magnetic ring based on the change of each reflection signal. Finally, the transceiver module generates the formation settlement information based on the initial position information and measurement position information of each settlement magnetic ring.

[0012] By adopting an array design, multiple measurement nodes are used to monitor the layered settlement of multi-layer geological structures. The magnetostrictive effect is used to achieve signal reflection and position measurement through the twisting deformation of the waveguide wire. It has a large-range measurement capability and can meet the monitoring needs of a larger stratum settlement range.

[0013] Traditional magnetostrictive settlement measuring devices can usually only achieve single-point measurement, with a limited measurement range, and it is difficult to meet the needs of layered settlement monitoring of multi-layer geological structures. Through array design and configuration of multiple measurement nodes, this device can achieve comprehensive and systematic monitoring of layered settlement of multi-layer geological structures. Through the collaborative work of multiple measurement nodes, it can more accurately reflect the settlement of the strata and improve the accuracy of the measurement results. Digital measurement and signal processing methods make the measurement process more efficient and reduce the need for manual intervention.

[0014] At the same time, the device has a large-scale measurement capability, can meet the monitoring needs of a larger range of stratum settlement, and is suitable for settlement monitoring under different geological conditions. The device has a simple structural design and is easy to install and maintain. The waveguide wire is protected by a protective tube, which extends the service life of the device and reduces maintenance costs. The device is suitable for settlement monitoring of various geological structures and can provide technical support for geological disaster early warning, construction engineering monitoring and other fields.

[0015] In summary, the array magnetostrictive large-range layered settlement measuring 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. The device has the advantages of wide measurement range, high accuracy, simple structure, easy maintenance, etc., can effectively solve the shortcomings of the existing technology, and has broad application prospects.

[0016] In a second aspect, the present application provides an array-type magnetostrictive large-range layered sedimentation measurement method, which is applied to the transceiver module of the array-type magnetostrictive large-range layered sedimentation measurement device provided in any embodiment of the present application, and the method includes: Obtain the initial position information of each measurement node; 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; The stratum settlement information is generated according to the initial position information and the measurement position information corresponding to each measurement node.

[0017] The present application provides an array magnetostrictive large-scale layered settlement measurement method. First, the initial position information of each measurement node is obtained. These initial position information may be the reference position recorded when the device is installed, which is used as a reference for subsequent settlement measurements. Then, the transceiver module is controlled to send a measurement signal to the formation through a waveguide wire. The measurement signal may be an electromagnetic wave or other form of signal used to detect the settlement of the formation. Further, 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. This twisting deformation changes the physical properties of the waveguide wire, thereby generating a reflection signal when the measurement signal passes. The reflection signal will be received by the transmission module. Furthermore, based on each reflection signal, the system can determine the measurement position information of the corresponding measurement node. This may involve analysis of 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 of the formation based on the initial position information and measurement position information corresponding to each measurement node, and generates formation settlement information.

[0018] This method can measure multiple measurement nodes at the same time through an array design, solving the problem that existing devices are usually only suitable for single-point measurement. It can achieve a wide range of measurements, is suitable for monitoring strata settlement at different depths, and expands the measurement range. Through the layered arrangement of multiple measurement nodes, this method can achieve comprehensive and systematic monitoring of layered settlement of multi-layer geological structures, improving the precision of monitoring. This method can obtain settlement information of strata in real time, facilitate timely analysis and processing, and is suitable for dynamic monitoring scenarios. Through the design of waveguide wires and settlement magnetic rings, sensitive detection of settlement is achieved, with a simple structure, low cost, and convenient practical application.

[0019] In summary, this method realizes an efficient, accurate, and large-range stratified settlement measurement method through array design and magnetostrictive effect, which is suitable for geological monitoring, civil engineering and other fields.

[0020] In some embodiments, determining the measurement position information of the corresponding measurement node according to each reflected signal includes: obtaining the propagation speed of the measurement signal in the waveguide wire; obtaining the propagation time corresponding to each of the reflected signals; 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 from a plurality of the initial position information; and determining the measurement node corresponding to the measurement position information according to the target initial position information.

[0021] Exemplarily, determining the target initial position information corresponding to the measured position information among multiple initial position information includes: calculating the position deviation between the measured position information and each of the initial position information; and determining the initial position information whose position deviation is within a preset deviation range as the target initial position information.

[0022] In some embodiments, generating the formation subsidence information according to the initial position information and the measured position information corresponding to each measurement node includes: calculating the node subsidence information corresponding to each measurement node according to the initial position information and the measured position information; and generating the formation subsidence information according to each node subsidence information.

[0023] Exemplarily, generating the formation subsidence information according to the subsidence information of each node includes: acquiring the node weight corresponding to each measurement node according to the initial position information of each measurement node; and generating the formation subsidence information according to the node weight corresponding to each measurement node and the node subsidence information.

[0024] It should be noted that, in some embodiments, obtaining the node weight corresponding to each of the measurement nodes based on the initial position information of each of the measurement nodes includes: obtaining terrain information corresponding to the stratum; constructing a weight function based on the terrain information, wherein the weight function is used to characterize the functional relationship between the measurement point position information and the weight value; and obtaining the node weight corresponding to each of the measurement nodes in the functional relationship based on the initial position information of each of the measurement nodes.

[0025] It should be noted that, in some embodiments, constructing a weight function based on the terrain information includes: obtaining depth information from the ground to the preset stratum; inputting the terrain information and the depth information into a preset weight prediction model, and the weight prediction model outputs the functional relationship between the measuring point location information and the weight value.

[0026] In some embodiments, the obtaining of the initial position information of each measurement node includes: when one of the sedimentation magnetic rings is set, controlling the transceiver module 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.

[0027] In some embodiments, before generating the formation settlement information according to the initial position information and the measurement position information corresponding to each measurement node, it also includes: performing real-time analysis on the measurement position information according to a preset anomaly detection algorithm; if abnormal data is identified to exist in the measurement position information, generating early warning information according to a preset early warning mechanism; wherein, if it is confirmed according to the measurement position information that the settlement amount of any of the measurement nodes exceeds a preset threshold, the measurement position information corresponding to the measurement node is confirmed to be the abnormal data.

[0028] In some embodiments, before obtaining the initial position information of each measurement node, it also includes: forming a distributed monitoring network with multiple measurement nodes to cover a larger range of formation areas, and uploading the initial position information corresponding to the measurement nodes to a preset cloud platform through wireless communication technology.

[0029] Exemplarily, after generating the stratum subsidence information according to the initial position information and the measured position information corresponding to each measurement node, it also includes: uploading the stratum subsidence information to the cloud platform, for generating a stratum subsidence map and a trend analysis report in the cloud platform.

[0030] In a third aspect, the present application provides an array-type magnetostrictive large-range layered sedimentation measuring device, comprising: An information acquisition unit, used to acquire initial position information of each measurement node; The signal sending unit is used to control the transceiver module to send the 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 twisted and deformed under the action of the sedimentation magnetic ring, and the measurement signal is reflected back to the transceiver module when it passes through the twisted and deformed waveguide wire; A position determination unit, used to determine the measurement position information of the corresponding measurement node according to each reflected signal; The information generating unit is used to generate the stratum settlement information according to the initial position information and the measured position information corresponding to each measuring node.

[0031] In a fourth aspect, the present application provides a transceiver module, comprising a memory and a processor; the memory is used to store a computer program; the processor is used to execute the computer program and implement a method provided in any embodiment of the present application when executing the computer program.

[0032] In a fifth aspect, the present application provides a computer-readable storage medium, which stores a computer program. When the computer-readable instructions are executed by the processor, one or more processors execute a method as provided in any embodiment of the present application.

[0033] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0035] Figure 1 It is a schematic block diagram of the structure of an array-type magnetostrictive large-range layered sedimentation measuring device provided in one embodiment of the present application; Figure 2 It is a schematic flow chart of the steps of an array-type magnetostrictive large-range layered sedimentation measurement method provided in an embodiment of the present application; Figure 3 It is a schematic block diagram of the structure of a transceiver module provided in one embodiment of the present application.

[0036] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. DETAILED DESCRIPTION

[0037] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0038] The flowcharts shown in the accompanying drawings are only examples and do not necessarily include all the contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps may also be decomposed, combined or partially merged, so the actual execution order may change according to actual conditions.

[0039] It should be understood that, in order to facilitate the clear description of the technical solutions of the embodiments of the present invention, in the embodiments of the present invention, the words "first", "second", etc. are used to distinguish the same items or similar items with substantially the same functions and effects. Those skilled in the art can understand that the words "first", "second", etc. do not limit the quantity and execution order, and the words "first", "second", etc. do not necessarily limit the difference.

[0040] It should be understood that the terms used in this application specification are only for the purpose of describing specific embodiments and are not intended to limit the application. As used in this application specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0041] It should also be understood that the term “and / or” used in the specification and appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.

[0042] In conjunction with the accompanying drawings, some embodiments of the present application are described in detail below. In the absence of conflict, the following embodiments and features in the embodiments can be combined with each other.

[0043] Settlement measurement is an indispensable technology in civil engineering, geological exploration and environmental monitoring. It is used to evaluate foundation stability, monitor the settlement of buildings and infrastructure, and predict potential geological disasters. Traditional settlement measurement methods mainly rely on single sensor measurements, such as leveling and settlement plates. Although these methods are mature, they have problems such as limited measurement range, low data collection efficiency, high labor costs and large errors. They cannot meet the needs of long-term, accurate and large-scale settlement monitoring under complex geological conditions.

[0044] In recent years, with the development of sensor technology, magnetic column telescopic sensors have gradually been used in settlement monitoring due to their high precision and high resolution. Magnetic column telescopic 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, making it difficult to achieve comprehensive and systematic monitoring of layered settlement of multi-layer geological structures.

[0045] Therefore, a method is urgently needed to solve at least one of the above technical problems.

[0046] To solve the above problems, please refer to Figure 1. The present application provides an array-type magnetostrictive large-range stratified settlement measuring device for measuring the settlement information of the stratum from the ground to the preset stratum; the device comprises: 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 stratum; a protective tube, which is arranged on the outside of 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 on the outside of the protective tube, each of which corresponds to a measurement node, and a plurality of the measurement nodes A measurement array is formed; wherein the transceiver module stores the initial position information of each of the sedimentation magnetic rings, 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 sedimentation 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 sedimentation magnetic ring according to each reflection signal; the transceiver module generates the formation settlement information according to the initial position information and measurement position information corresponding to each sedimentation magnetic ring.

[0047] Specifically, the present application provides an array-type magnetostrictive large-range layered settlement measuring device, which is mainly used to measure the stratum settlement information from the ground to the preset stratum. The core of the device is to use the magnetostrictive effect to achieve high-precision displacement measurement, and through an array design, to achieve comprehensive and systematic monitoring of the layered settlement of multi-layer geological structures.

[0048] The transceiver module is responsible for sending the measurement signal and receiving the reflected signal. The transceiver module has the initial position information of each sedimentation magnetic ring built in for subsequent sedimentation calculations.

[0049] One end of the waveguide is connected to the transceiver module, and the other end is set in the formation. The waveguide is the main carrier of the magnetostrictive effect, and its deformation reflects the settlement information.

[0050] The protective tube is arranged on the outside of the waveguide wire to protect the waveguide wire and fix the relative position between the waveguide wire and the protective tube to ensure the stability of the measurement.

[0051] Multiple sedimentation magnetic rings are respectively arranged on the outside of the protective tube, each sedimentation magnetic ring corresponds to a measurement node, and a measurement array is formed. The sedimentation magnetic ring affects the deformation of the waveguide wire through the change of the magnetic field, thereby generating a reflection signal.

[0052] The transceiver module sends a measurement signal to the waveguide wire. The signal propagates in the waveguide wire. When it passes through the measurement node corresponding to each sedimentation magnetic ring, the waveguide wire is twisted and deformed due to the magnetic field of the sedimentation magnetic ring, generating a reflection signal and returning to the transceiver module. The transceiver module determines the measurement position information of each sedimentation magnetic ring based on the received reflection signal. By comparing with the initial position information, the settlement amount of the formation is calculated. Finally, the transceiver module integrates the data of all measurement nodes to generate formation settlement information, including the settlement amount and settlement trend of each layer.

[0053] The specific use process of the provided device is as follows: First, install the waveguide wire and the protective tube into the formation according to the design requirements to ensure that the relative position of the waveguide wire and the protective tube is fixed. Then, install the sedimentation magnetic ring to the outside of the protective tube according to the preset measurement node position. Finally, the initial position information of each sedimentation magnetic ring is recorded by 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 sedimentation information. Through long-term data accumulation, the sedimentation trend of the formation is analyzed, abnormal sedimentation is discovered in time, and data support is provided for geological disaster warning.

[0054] By using the magnetostrictive effect, high-precision displacement measurement can be achieved with a resolution of up to micron level, meeting the needs of precise monitoring under complex geological conditions. Through the array design, settlement monitoring of multiple strata can be carried out at the same time, with a wide coverage and strong adaptability. The device has a high degree of automation and high data acquisition efficiency, which reduces manual intervention and labor costs. The device has a stable structure, is suitable for long-term monitoring, and has high data reliability, providing a reliable basis for geological disaster early warning. The device has a simple structure, is easy to maintain, and has a relatively low cost, making it suitable for large-scale promotion and application.

[0055] In summary, the array-type magnetostrictive large-range layered settlement measuring device of the present application solves the shortcomings of traditional settlement measurement methods in terms of accuracy, range, efficiency and cost through innovative magnetostrictive technology and array design, and provides an efficient, accurate and economical settlement monitoring solution for fields such as civil engineering, geological exploration and environmental monitoring. See also Figure 2 , Figure 2 The schematic flow chart of the array type magnetostrictive large range layered sedimentation measurement method provided by an embodiment of the present application is shown in FIG. The execution device of the method is the transceiver module of the sensor provided by any embodiment of the present application.

[0056] like Figure 2 As shown, the provided method includes steps S101 to S104. The transceiver module may be a handheld terminal, a notebook computer, a wearable device or a robot, etc., for implementing steps S101 to S104 and their corresponding embodiments.

[0057] Step S101: Obtain the initial position information of each measurement node.

[0058] Specifically, step S101 is the initial stage of the array magnetostrictive large-scale layered sedimentation measurement method, and its core task is to obtain and record the position information of each measurement node (i.e., each sedimentation magnetic ring) in the initial state. This step provides benchmark data for subsequent sedimentation measurements and is a key link to ensure the accuracy and comparability of measurement results. The initial position information includes not only the spatial coordinates of each measurement node, but also may include parameters such as its magnetic field strength, waveguide wire length and wave velocity, which together form the basis for subsequent sedimentation calculations.

[0059] After the device is installed, the waveguide wire and the protective tube need to be fixed in the formation according to the design requirements to ensure that they are in close and stable contact with the formation. Subsequently, the sedimentation magnetic ring is installed on the outside of the protective tube according to the preset measurement node position, and each sedimentation magnetic ring corresponds to a measurement node. After the installation is completed, each measurement node is calibrated through the transceiver module. During the calibration process, the transceiver module sends the initial measurement signal, records the position information of each sedimentation 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. In order to improve the reliability of the data, the initial position information can be collected multiple times in different time periods, and the average value is taken as the final benchmark data. After obtaining the initial position information, the accuracy of the data is verified by multiple measurements. If the data is found to be biased, it can be corrected by adjusting the position of the sedimentation magnetic ring or recalibrating. During the verification process, the fixing 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.

[0060] The initial position information provides an accurate benchmark for subsequent settlement measurements, ensuring the reliability and comparability of the measurement results. The stored initial position information can be used for data comparison and analysis in long-term monitoring to improve the scientificity and systematicity of monitoring. Through calibration and verification, human errors and equipment errors can be reduced, and the accuracy of measurements can be improved. The acquisition and storage process of initial position information is automated, reducing manual intervention and improving monitoring efficiency.

[0061] Step S102. Control the transceiver module to send 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.

[0062] Specifically, step S102 is one of the core links of the array magnetostrictive large-scale layered sedimentation measurement method. Its core task is to send the 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 be distorted 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 sedimentation monitoring.

[0063] The transceiver module generates a measurement signal of a specific frequency and amplitude and sends it to the formation through the waveguide. 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. In order to improve the stability of signal propagation, an appropriate medium can be filled between the waveguide and the protective tube to reduce signal attenuation and interference.

[0064] When the measurement signal propagates in the waveguide, it passes through the measurement node corresponding to each sedimentation magnetic ring. Due to the magnetic field of the sedimentation magnetic ring, the waveguide is twisted and deformed, resulting in signal reflection. The magnetic field strength of the sedimentation magnetic ring and the physical properties of the waveguide (such as length, wave speed, etc.) jointly determine the degree of signal deformation, thereby affecting the characteristics of the reflected signal.

[0065] The reflected signal returns to the transceiver module, which records the time, strength, phase and other information of each reflected signal. In order to improve the accuracy of signal reception, multi-channel receiving technology can be used to receive multiple reflected signals at the same time. The received reflected signal can be stored in the local memory of the transceiver module or uploaded to the cloud database for subsequent data processing and analysis.

[0066] High-precision displacement measurement is achieved through magnetostrictive effect, with a resolution of up to micrometer level. Signal propagation and reflection process is completed almost instantly, achieving real-time monitoring and meeting the needs of dynamic settlement monitoring. The signal sending and receiving process is fully automated, reducing manual intervention and improving measurement efficiency. Through array design, multiple measurement nodes can be monitored at the same time, with wide coverage and strong adaptability.

[0067] Step S103: Determine the measurement position information of the corresponding measurement node according to each reflected signal.

[0068] Specifically, step S103 is the key data processing link of the array magnetostrictive large-range layered sedimentation measurement method, and its core task is to determine the actual position information of each measurement node during measurement by analyzing the reflected signal. This step uses signal processing technology and combines the physical properties of the waveguide wire to calculate the actual position information of each measurement node, providing data support for subsequent sedimentation calculations.

[0069] The transceiver module processes the received reflected signal and extracts the signal's time delay, intensity, phase and other characteristics. In order to improve the accuracy of signal processing, digital signal processing technology such as Fourier transform and wavelet transform can be used. During the signal processing process, the signal can also be filtered and denoised to reduce the impact of environmental interference on the measurement results.

[0070] According to the signal characteristics, combined with the physical properties of the waveguide wire (such as wave speed, length, etc.), the actual position information of each measurement node is calculated. In the process of position calculation, mathematical models and algorithms, such as least squares method, Kalman filtering, etc., can be used to improve the accuracy and stability of the calculation. In order to improve the accuracy of position calculation, multiple measurements can be made in different time periods, and the average value is taken as the final result. The measured position information is stored in the transceiver module for subsequent settlement calculations. In order to improve the reliability of the data, redundant storage technology can be used to store the data locally and in the cloud at the same time.

[0071] Through signal processing technology, high-precision positioning is achieved to ensure the accuracy of settlement. The signal processing algorithm is optimized and the calculation speed is fast to meet the needs of large-scale monitoring. Through multiple measurements and verifications, the reliability of the measured position information is ensured. Accurate position information provides a scientific basis for engineering design and disaster warning, and improves the scientific nature of decision-making.

[0072] Step S104: Generate the stratum settlement information according to the initial position information and the measurement position information corresponding to each measurement node.

[0073] Specifically, step S104 is the final link of the array magnetostrictive large-scale stratified settlement measurement method. Its core task is to calculate the settlement of each measurement node by comparing the initial position information and the measurement position information, and generate the formation settlement information. This step integrates 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.

[0074] For each measurement node, the difference between its measured position information and initial position information is calculated to obtain the settlement amount. In order to improve the accuracy of settlement calculation, the weighted average method can be used to weight the data of different measurement nodes. In the process of settlement calculation, the physical properties of the formation (such as density, elastic modulus, etc.) can also be considered to improve the scientificity of the calculation.

[0075] The settlement of all measurement nodes is integrated to analyze the overall settlement trend of the stratum. In order to improve the accuracy of data analysis, statistical methods such as regression analysis and time series analysis can be used. During the data analysis process, geological exploration data such as stratum structure and groundwater level can also be combined to improve the scientific nature of the analysis. The settlement information is output in the form of charts or reports to facilitate users to intuitively understand the settlement of the stratum. In order to improve the intuitiveness of the result output, visualization technology such as three-dimensional modeling and thermal maps can be used. During the result output process, a settlement trend prediction report can also be generated to provide users with a scientific basis for long-term monitoring.

[0076] If the settlement exceeds the preset threshold, the transceiver module can automatically send out an early warning signal to remind the user to take corresponding measures. In order to improve the accuracy of the early warning, a multi-level early warning mechanism can be adopted to set different early warning levels according to different settlement amounts. The early warning signal can be sent in a variety of ways, such as SMS, email, APP push, etc., to ensure that users receive early warning information in a timely manner.

[0077] 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, and improves the scientific nature of decision-making. The automatic warning mechanism can detect abnormal settlement in time and reduce the risk of geological disasters. The settlement information is presented in an intuitive form, which is easy for users to understand and analyze. Through long-term data accumulation, the settlement trend of the stratum is analyzed to provide a scientific basis for engineering design and disaster warning.

[0078] In summary, steps S101 to S104 constitute the core process of the array magnetostrictive large-scale layered settlement measurement method. By obtaining initial position information, sending measurement signals, determining measurement position information and generating settlement information, this method achieves high-precision, efficient and comprehensive monitoring of stratum settlement. Its technical advantages lie in high-precision measurement, automated operation, real-time monitoring and scientific early warning, providing strong technical support for civil engineering, geological exploration and environmental monitoring.

[0079] In some embodiments, determining the measurement position information of the corresponding measurement node according to each reflected signal includes: obtaining the propagation speed of the measurement signal in the waveguide wire; obtaining the propagation time corresponding to each of the reflected signals; 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 from a plurality of the initial position information; and determining the measurement node corresponding to the measurement position information according to the target initial position information.

[0080] This embodiment is a specific implementation scheme for determining the position information of the measurement node based on the reflected signal. The core is to calculate the actual position information of each measurement node by combining the propagation speed of the measurement signal in the waveguide and the propagation time of the reflected signal with the initial position information. Specifically, the following steps are included: 1. Obtain the propagation velocity of the measurement signal in the waveguide wire: The propagation velocity of the waveguide wire is a known physical parameter, which is usually determined by the material properties of the waveguide wire (such as elastic modulus, density, etc.). When the device is installed, the propagation velocity of the waveguide wire can be determined by experiment or theoretical calculation. In order to improve the accuracy of the propagation velocity, multiple measurements can be performed under different environmental conditions (such as temperature, pressure, etc.), and the average value is taken as the final propagation velocity.

[0081] 2. Obtain the propagation time corresponding to each reflected signal: The transceiver module records the time difference between the measurement signal transmission and the reflection signal reception, that is, the propagation time. The propagation time reflects the time it takes for the measurement signal to propagate in the waveguide to the measurement node and return. In order to improve the accuracy of the propagation time, a high-precision timer can be used to reduce the timing error.

[0082] 3. Calculate the measurement position information based on the propagation speed and propagation time: Use the formula Calculate the measured position information, where To measure the distance from the node to the transceiver module, is the propagation speed, is the propagation time. In order to improve the accuracy of position calculation, the method of taking the average value of multiple measurements can be used to reduce random errors.

[0083] 4. Determine the target initial position information from multiple initial position information: Compare the calculated measured 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, which is used for subsequent settlement calculations. In order to improve the accuracy of the target initial position information, the nearest neighbor algorithm can be used to match the measured position information with the nearest initial position information.

[0084] 5. Determine the measurement node based on the target initial position information: Determine the position of the measurement node in the measurement array through the target initial position information, providing a basis for subsequent settlement calculations.

[0085] Through the precise calculation of propagation speed and propagation time, high-precision positioning is achieved to ensure the accuracy of settlement. Through the optimization of signal processing algorithm, the calculation speed is fast to meet the needs of large-scale monitoring. Through multiple measurements and verifications, the reliability of the measured position information is ensured. Accurate position information provides a scientific basis for engineering design and disaster warning, and improves the scientific nature of decision-making. The position calculation process is fully automated, reducing manual intervention and improving measurement efficiency.

[0086] Exemplarily, determining the target initial position information corresponding to the measured position information among multiple initial position information includes: calculating the position deviation between the measured position information and each of the initial position information; and determining the initial position information whose position deviation is within a preset deviation range as the target initial position information.

[0087] This example is a specific implementation scheme for determining the target initial position information from multiple initial position information in the above embodiment. The core is to calculate the position deviation between the measured position information and each initial position information, and determine the initial position information whose position deviation is within the preset deviation range as the target initial position information. Specifically, it includes the following steps: 1. Calculate the position deviation between the measured position information and each initial position information: For example, using the formula: Calculate position deviation ,in To measure position information, is the initial position information. In order to improve the accuracy of position deviation calculation, the three-dimensional space distance formula can be used to consider the position relationship of the measurement node in space.

[0088] 2. Determine the initial position information whose position deviation is within the preset deviation range as the target initial position information: The preset deviation range is set according to the specific monitoring requirements, and usually includes a maximum allowable deviation value. If the position deviation is less than the maximum allowable deviation value, the initial position information is determined as the target initial position information. In order to improve the accuracy of the target initial position information, the weighted average method can be used to weight multiple candidate initial position information to determine the final target initial position information.

[0089] Through position deviation calculation and preset deviation range screening, 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 systematicity of monitoring are improved. The process of determining the target initial position information is fully automated, reducing manual intervention and improving measurement efficiency. Accurate target initial position information provides a scientific basis for engineering design and disaster warning, and improves the scientificity of decision-making. The preset deviation range can be adjusted according to specific monitoring needs to adapt to different monitoring environments and accuracy requirements.

[0090] In some embodiments, generating the formation subsidence information according to the initial position information and the measured position information corresponding to each measurement node includes: calculating the node subsidence information corresponding to each measurement node according to the initial position information and the measured position information; and generating the formation subsidence information according to each node subsidence information.

[0091] This embodiment is a specific implementation scheme for generating stratum settlement information based on initial position information and measurement position information in an array magnetostrictive large-range stratified settlement measurement method. The core is to generate stratum settlement information by calculating the settlement amount of each measurement node and combining the stratum structure and monitoring requirements. Specifically, the following steps are included: 1. Calculate the node settlement information corresponding to each measurement node based on the initial position information and the measured position information: For each measurement node, calculate the difference between its measured position information and the initial position information to obtain the node settlement information. The node settlement information reflects the settlement amount of the measurement node during the monitoring period. In order to improve the accuracy of settlement calculation, the weighted average method can be used to weight the data of different measurement nodes.

[0092] 2. Generate stratum settlement information based on settlement information of each node: Integrate the settlement of all measurement nodes and analyze the overall settlement trend of the stratum. In order to improve the accuracy of data analysis, statistical methods such as regression analysis and time series analysis can be used. The stratum 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.

[0093] 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, and improves the scientific nature of decision-making. The automatic warning mechanism can detect abnormal settlement in time and reduce the risk of geological disasters. The settlement information is presented in an intuitive form, which is easy for users to understand and analyze. Through long-term data accumulation, the settlement trend of the stratum is analyzed to provide a scientific basis for engineering design and disaster warning.

[0094] Exemplarily, generating the formation subsidence information according to the subsidence information of each node includes: acquiring the node weight corresponding to each measurement node according to the initial position information of each measurement node; and generating the formation subsidence information according to the node weight corresponding to each measurement node and the node subsidence information.

[0095] This example is a specific implementation scheme for generating stratum settlement information based on node settlement information. The core is to obtain the node weight of each measurement node and combine it with the node settlement information to generate stratum settlement information. The specific steps include: 1. Obtain the node weight corresponding to each measurement node according to the initial position information of each measurement node: The node weight reflects the importance of the measurement node in the stratum structure, which is usually determined by the physical properties of the stratum (such as density, elastic modulus, etc.) and monitoring requirements. In order to improve the accuracy of the node weight, geological exploration data, such as stratum structure, groundwater level, etc., can be used for weighted processing.

[0096] 2. Generate stratum settlement information based on the node weight and node settlement information corresponding to each measurement node: Use the formula Generate formation subsidence information, where is the ground subsidence information, For the The node weights of the measurement nodes, For the In order to improve the accuracy of stratum settlement information, the weighted average method can be used to perform weighted processing on the data of different measurement nodes.

[0097] The accuracy of stratum settlement information is ensured and measurement errors are reduced through weighted processing of node weights and node settlement information. The reliability of stratum settlement information is ensured through multiple measurements and verifications, and the scientificity and systematicity of monitoring are improved. Accurate stratum settlement information provides a scientific basis for engineering design and disaster warning, and improves the scientificity of decision-making. The stratum settlement information is presented in an intuitive form, which is easy for users to understand and analyze. Node weights can be adjusted according to specific monitoring needs to adapt to different monitoring environments and accuracy requirements.

[0098] It should be noted that, in some embodiments, obtaining the node weight corresponding to each of the measurement nodes based on the initial position information of each of the measurement nodes includes: obtaining terrain information corresponding to the stratum; constructing a weight function based on the terrain information, wherein the weight function is used to characterize the functional relationship between the measurement point position information and the weight value; and obtaining the node weight corresponding to each of the measurement nodes in the functional relationship based on the initial position information of each of the measurement nodes.

[0099] This embodiment is a specific implementation scheme for constructing a weight function based on terrain information. The core is to construct a weight function by acquiring terrain information corresponding to the stratum, thereby characterizing the functional relationship between the measurement point location information and the weight value. Specifically, the following steps are included: 1. Obtain terrain information corresponding to the strata: Terrain information includes the undulations, slope, and aspect of the surface, which is usually obtained through geological exploration, remote sensing technology, or topographic maps. In order to improve the accuracy of terrain information, high-precision measurement equipment such as LiDAR or drone mapping can be used.

[0100] 2. Construct a weight function based on terrain information: The weight function is used to characterize the functional relationship between the measurement point location information and the weight value, which is usually determined by the physical characteristics of the terrain (such as slope, slope aspect, etc.) and monitoring requirements. The weight function can be in the form of a linear function, a polynomial function, or an exponential function, and the specific form is determined according to the terrain information and monitoring requirements.

[0101] 3. Obtain the node weight corresponding to each measurement node in the functional relationship according to the initial position information of each measurement node: Use the weight function to 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 stratigraphic structure. In order to improve the accuracy of the node weight, the method of taking the average value of multiple measurements can be used to reduce random errors.

[0102] The weight function is constructed through terrain information to ensure the accuracy of node weights and reduce measurement errors. Through multiple measurements and verifications, the reliability of node weights is ensured to improve the scientificity and systematicity of monitoring. Accurate node weights provide a scientific basis for engineering design and disaster warning, and improve the scientificity of decision-making. The weight function is presented in an intuitive form, which is easy for users to understand and analyze. The weight function can be adjusted according to specific monitoring needs to adapt to different monitoring environments and accuracy requirements.

[0103] 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 (obtained based on terrain information), It is The slope corresponding to each measurement node (obtained based on terrain information). It 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, which is used to adjust the influence of terrain height, slope and distance on node weight. These coefficients can be adjusted according to specific monitoring needs and meet . Terrain height and slope It reflects the physical characteristics of the stratum and directly affects the node weight. The reciprocal of indicates that the closer the measurement node is to the center of the monitoring area, the greater its weight is, so as to ensure the monitoring accuracy of the central area.

[0104] It should be noted that, in some embodiments, constructing a weight function based on the terrain information includes: obtaining depth information from the ground to the preset stratum; inputting the terrain information and the depth information into a preset weight prediction model, and the weight prediction model outputs the functional relationship between the measuring point location information and the weight value.

[0105] This embodiment is a specific implementation scheme for constructing a weight prediction model based on depth information. The core is to obtain the depth information from the ground to the preset stratum, combine it with the terrain information, and construct a weight prediction model, so as to output the functional relationship between the measurement point location information and the weight value. Specifically, it includes the following steps: 1. Obtaining the depth information from the ground to the preset stratum: Depth information includes the vertical distance from the ground to the preset stratum, which is usually obtained through geological exploration, borehole measurement or seismic wave detection. In order to improve the accuracy of depth information, high-precision measurement equipment such as borehole depth sounder or seismic wave detector can be used.

[0106] 2. Input terrain information and depth information into the preset weight prediction model: The weight prediction model is a mathematical model used to generate a functional relationship between the measurement point location information and the weight value based on terrain information and depth information. The weight prediction model can use a machine learning algorithm, such as linear regression, support vector machine (SVM) or neural network. The specific algorithm is determined according to the monitoring requirements.

[0107] 3. The weight prediction model outputs the functional relationship between the measurement point location information and the weight value: The weight prediction model outputs the functional relationship between the measurement point location 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 technology can be used to verify and optimize the weight prediction model.

[0108] The weight prediction model is constructed through depth information and terrain information to ensure the accuracy of the functional relationship and reduce prediction errors. Through multiple measurements and verifications, the reliability of the functional relationship is ensured, and the scientificity and systematicity of monitoring are improved. Accurate functional relationships provide a scientific basis for engineering design and disaster warning, and improve the scientificity of decision-making. The calculation of the functional relationship is based on terrain information and depth information, and the relationship between the measurement point location information and the weight value is output through the weight prediction model. The functional relationship is presented in an intuitive form, which is easy for users to understand and analyze. The weight prediction model can be adjusted according to specific monitoring needs to adapt to different monitoring environments and accuracy requirements.

[0109] In some embodiments, the obtaining of the initial position information of each measurement node includes: when one of the sedimentation magnetic rings is set, controlling the transceiver module 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.

[0110] This embodiment is a specific implementation scheme for obtaining the initial position information of each measurement node in the array magnetostrictive large-range layered sedimentation measurement method. The core is to send a measurement signal to the waveguide wire through the transceiver module when each sedimentation magnetic ring is set, and determine the initial position information of the corresponding measurement node based on the received reflection signal. Specifically, it includes the following steps: 1. Send measurement signal when the settling magnetic ring is set: After each settling magnetic ring is installed on the outside of the protective tube and fixed, the transceiver module is immediately controlled 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. In order 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.

[0111] 2. Receive reflected signals and record data: When the measurement signal propagates in the waveguide wire, it passes through the measurement node corresponding to the sedimentation magnetic ring. Due to the magnetostrictive effect, the waveguide wire is twisted and deformed, generating a reflected signal and returning to the transceiver module. The transceiver module records the time, intensity, phase and other information of each reflected signal. In order to improve the accuracy of signal reception, multi-channel receiving technology can be used to receive multiple reflected signals at the same time.

[0112] 3. Determine the initial position information based on the reflected signal: Use the formula Calculate the initial position information, where To measure the initial distance from the node to the transceiver module, is the propagation speed of the waveguide, is the propagation time of the reflected signal. In order to improve the accuracy of the initial position information, the method of taking the average value of multiple measurements can be used to reduce random errors.

[0113] 4. Storing initial location information: The initial location information is 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. In order to improve the reliability of the data, redundant storage technology can be used to store the data locally and in the cloud at the same time.

[0114] Through the precise calculation of the reflected signal, high-precision initial position positioning is achieved to ensure the accuracy of the settlement amount. The initial position information is collected immediately after the settlement magnetic ring is set to ensure the real-time and accuracy of the data. Through multiple measurements and verifications, the reliability of the initial position information is ensured, and the scientific and systematic nature of the monitoring is improved. Accurate initial position information provides a scientific basis for engineering design and disaster warning, and improves the scientific nature of decision-making. The acquisition and storage process of the initial position information is fully automated, reducing manual intervention and improving measurement efficiency.

[0115] In some embodiments, in the process of obtaining the position information of the measurement node, the waveguide wire measurement results are assisted in correction by combining multi-source data such as GPS, inertial navigation system (INS) and laser rangefinder. For example, in step S101, the absolute position information of the measurement node is obtained by GPS, and compared with the waveguide wire measurement results to correct the errors of propagation speed and propagation time. Kalman filtering or particle filtering algorithm is used to fuse multi-source data to generate more accurate measurement position information. In step S104, the result after fusion of multi-source data is used as initial position information to improve the accuracy of subsequent settlement monitoring.

[0116] Through multi-source data fusion, the error of a single measurement method is significantly reduced and the accuracy of location 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 measurement. High-precision measurement results provide a more reliable basis for engineering design and disaster warning.

[0117] In some embodiments, in step S101, a temperature sensor and a pressure sensor are introduced to monitor the ambient temperature and pressure around the waveguide filament in real time, and the propagation speed of the waveguide filament is dynamically adjusted according to the environmental parameters.

[0118] For example, using the formula Corrected propagation velocity, where is the base speed, is the temperature coefficient, is the temperature change. In step S103, the measured position information is recalculated according to the corrected propagation speed to ensure the accuracy of the position information. The automatic correction function of the transceiver module reduces manual intervention and improves measurement efficiency. The propagation speed is dynamically corrected to ensure the accuracy of the measurement results under different environmental conditions. The real-time correction mechanism reduces the impact of environmental factors on the measurement results and improves the reliability of the data. The automatic correction mechanism reduces manual intervention and improves measurement efficiency.

[0119] in, The temperature coefficient is determined by measuring the propagation velocity of the waveguide at different temperatures under controlled temperature changes in a laboratory environment. and The propagation speed is measured and Using the formula ; Calculate the temperature coefficient. is the reference temperature The propagation speed below.

[0120] 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. The settlement trend of the formation is analyzed using time series analysis or machine learning algorithms (such as LSTM neural networks). Based on historical data, the settlement amount of the formation in the future is predicted and a settlement trend graph is generated. For example, using the formula predict The amount of sedimentation at the time , is the initial settlement, 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, and improve the scientific nature of decision-making. The settlement trend chart is presented in an intuitive form, which is easy for users to understand and analyze.

[0121] In some embodiments, before generating the formation settlement information according to the initial position information and the measurement position information corresponding to each measurement node, it also includes: performing real-time analysis on the measurement position information according to a preset anomaly detection algorithm; if abnormal data is identified to exist in the measurement position information, generating early warning information according to a preset early warning mechanism; wherein, if it is confirmed according to the measurement position information that the settlement amount of any of the measurement nodes exceeds a preset threshold, the measurement position information corresponding to the measurement node is confirmed to be the abnormal data.

[0122] In step S103, an anomaly detection algorithm (such as isolation forest or K-means clustering) is introduced to analyze the measurement location information in real time and identify abnormal data. For example, when the settlement of a certain measurement node exceeds a preset threshold, the system automatically marks it as abnormal (wherein the size of the preset threshold corresponding to the settlement is determined according to the actual scenario and needs, and the embodiment of the present application is not limited to this). In step S104, when abnormal data is detected, the method automatically triggers the early warning mechanism and generates early warning information such as notifying relevant personnel through text messages, emails, or sound and light alarms. Through intelligent anomaly detection, abnormal situations in stratum settlement can be discovered in time to reduce the risk of geological disasters. The automatic early warning mechanism reduces manual intervention and improves monitoring efficiency. The anomaly detection results provide a scientific basis for disaster warning and emergency response.

[0123] In some embodiments, before obtaining the initial position information of each measurement node, it also includes: forming a distributed monitoring network with multiple measurement nodes to cover a larger range of formation areas, and uploading the initial position information corresponding to the measurement nodes to a preset cloud platform through wireless communication technology.

[0124] By forming a distributed monitoring network with multiple measurement nodes, a wider range of formation areas can be covered. The measurement data can be transmitted to the cloud platform through wireless communication technology (such as LoRa or 5G).

[0125] The distributed monitoring system covers a wider range of strata and improves the comprehensiveness of monitoring. Cloud platform integration enables data sharing and collaboration, facilitating multi-department cooperation and decision-making. The cloud platform provides efficient data analysis tools to improve data processing efficiency.

[0126] Exemplarily, after generating the stratum subsidence information according to the initial position information and the measured position information corresponding to each measurement node, it also includes: uploading the stratum subsidence information to the cloud platform, for generating a stratum subsidence map and a trend analysis report in the cloud platform.

[0127] In step S104, the measurement position information and settlement information are uploaded to the cloud platform to achieve centralized storage and analysis of data. The formation settlement map and trend analysis report are generated through the visualization tool of the cloud platform.

[0128] The embodiment of the present application also provides an array-type magnetostrictive large-range layered sedimentation measuring device. The array-type magnetostrictive large-range layered sedimentation measuring device is used to perform the steps of the array-type magnetostrictive large-range layered sedimentation measuring method shown in the above embodiments. The array-type magnetostrictive large-range layered sedimentation measuring device can be a single server or a server cluster, or the array-type magnetostrictive large-range layered sedimentation measuring device can be a terminal, which can be a handheld terminal, a laptop computer, a wearable device or a robot, etc.

[0129] The array magnetostrictive large-range layered sedimentation measuring device includes: An information acquisition unit, used to acquire initial position information of each measurement node; The signal sending unit is used to control the transceiver module to send the 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 twisted and deformed under the action of the sedimentation magnetic ring, and the measurement signal is reflected back to the transceiver module when it passes through the twisted and deformed waveguide wire; A position determination unit, used to determine the measurement position information of the corresponding measurement node according to each reflected signal; An information generating unit is used to generate the stratum settlement information according to the initial position information and the measured position information corresponding to each measuring node, including: calculating the node settlement information corresponding to each measuring node according to the initial position information and the measured position information; generating the stratum settlement information according to each node settlement information, including: obtaining the node weight corresponding to each measuring node according to the initial position information of each measuring node, including: obtaining the 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 measuring point position information and the weight value; obtaining the node weight corresponding to each measuring node in the functional relationship according to the initial position information of each measuring node; generating the stratum settlement information according to the node weight corresponding to each measuring node and the node settlement information.

[0130] It should be noted that technicians in the relevant field can clearly understand that for the convenience and simplicity of description, the specific working process of the array-type magnetostrictive large-range stratified sedimentation measurement device and each unit described above can refer to the corresponding process in the array-type magnetostrictive large-range stratified sedimentation measurement method embodiment described in the above embodiments, and will not be repeated here.

[0131] The above-mentioned monitoring based on the data asset management platform can be implemented in the form of a computer program, which can be run on the above-mentioned device.

[0132] See also Figure 3 , Figure 3 1 is a schematic block diagram of the structure of a transceiver module provided in an embodiment of the present application. The transceiver module includes a processor, a memory and a network interface connected via a device bus, wherein the memory may include a storage medium and an internal memory.

[0133] The storage medium can store operating devices and computer programs. The computer program includes program instructions, and when the program instructions are executed, the processor can perform any type of monitoring based on the data asset management platform.

[0134] The processor is used to provide computing and control capabilities to support the operation of the entire transceiver module.

[0135] 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 perform any type of monitoring based on the data asset management platform.

[0136] The network interface is used for network communication, such as sending assigned tasks, etc. Those skilled in the art will understand that Figure 3The structure shown in the figure is only a block diagram of a partial structure related to the scheme of the present application, and does not constitute a limitation on the terminal to which the scheme of the present application is applied. The specific transceiver module may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0137] 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 (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) 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.

[0138] In one embodiment, the processor is used to run a computer program stored in the memory to implement the following steps: Obtain the initial position information of each measurement node; 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; The formation settlement information is generated 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, 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 corresponding to each measurement node and the node settlement information.

[0139] It should be noted that technicians in the relevant field can clearly understand that for the convenience and brevity of description, the specific working process of the processor described above can refer to the corresponding process in the method embodiments described in the above embodiments, and will not be repeated here.

[0140] A computer-readable storage medium is also provided in an embodiment of the present application, wherein the computer-readable storage medium stores a computer program, wherein the computer program includes program instructions, and the processor executes the program instructions to implement the steps of the array magnetostrictive large-range stratified sedimentation measurement method provided in the above-mentioned embodiments of the present application.

[0141] The computer-readable storage medium may be an internal storage unit of the transceiver module described in the foregoing embodiments, such as a 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 memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc., equipped on the transceiver module.

[0142] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed in the present application, and these modifications or replacements should be included in the protection scope of the present application. Therefore, the protection scope of the present application shall be based on the protection scope of the claims.

Claims

1. An array-type magnetostrictive large-range layered sedimentation measuring device, characterized in that: 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 disposed in the stratum; A protective tube, the 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, wherein the plurality of sedimentation magnetic rings are respectively arranged on the outside of the protective tube, each of the sedimentation magnetic rings corresponds to a measurement node, and the plurality of measurement nodes constitute a measurement array; Among them, the transceiver module stores the initial position information of each of the sedimentation magnetic rings, 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 sedimentation magnetic ring, and when the measurement signal passes through the twisted and deformed waveguide wire, a reflected signal is generated and reflected back to the transceiver module; the transceiver module determines the measurement position information of the corresponding sedimentation magnetic ring according to each reflected signal; the transceiver module generates the formation settlement information according to the initial position information and measurement position information corresponding to each sedimentation magnetic ring.

2. An array-type magnetostrictive large-range layered sedimentation measurement method, characterized in that: A transceiver module applied to the layered settlement measurement device according to claim 1; the method comprising: Obtain the initial position information of each measurement node; 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; The formation settlement information is generated 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, 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 corresponding to each measurement node and the node settlement information.

3. The method according to claim 2, 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.

4. The method according to claim 3, 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.

5. The method according to claim 2, 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.

6. The method according to claim 2, 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.

7. The method according to claim 2, 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.

8. The method according to claim 2, 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.

9. The method according to claim 8, 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.

10. 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 2 to 9 when executing the computer program.

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