Soil settlement monitoring method and system for deep foundation pit excavation

Abstract

The invention discloses a soil settlement monitoring method and system for deep foundation pit excavation, and relates to the technical field of soil settlement monitoring. The method comprises the steps that settlement monitoring node distribution of a foundation pit is recognized; constructing a self-adaptive communication activation circuit, identifying a depth interval of each settlement monitoring node, and activating a matched communication module corresponding to each settlement monitoring node in the self-adaptive communication activation circuit according to the depth interval; establishing a communication transmission protocol between each settlement monitoring node and a matched communication module in a relay communication gateway, and receiving a settlement monitoring distribution data set to a settlement monitoring processor; and the settlement monitoring processor performs risk analysis according to the settlement monitoring distribution data set to obtain a soil settlement risk early warning signal. The technical problem that early warning response is not timely due to unstable monitoring data transmission in the prior art is solved, the communication module is intelligently matched through the self-adaptive communication activation circuit, stable monitoring data transmission is achieved, and the technical effect of improving settlement risk early warning real-time performance is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of soil settlement monitoring, and particularly to a soil settlement monitoring method and system for deep foundation pit excavation. Background Art

[0002] During the construction of deep foundation pit projects, soil settlement is a key factor affecting the safety of the foundation pit and the stability of surrounding structures. Since the excavation of the foundation pit disrupts the original stress balance state of the soil, the surrounding soil will undergo varying degrees of deformation and settlement during the process of stress redistribution. Traditional settlement monitoring methods mostly use a single communication method, such as LoRa or NB-IoT, which is difficult to balance signal penetration ability, power consumption control, and data real-time performance in a multi-layer depth environment, resulting in transmission delay or loss of deep-layer data and affecting construction safety assessment and risk warning. Summary of the Invention

[0003] The present application provides a soil settlement monitoring method and system for deep foundation pit excavation, which solves the technical problem of unstable monitoring data transmission in the prior art resulting in untimely warning response.

[0004] In the first aspect of the present application, a soil settlement monitoring method for deep foundation pit excavation is provided. The method includes: Identifying the distribution of settlement monitoring nodes in the foundation pit; constructing an adaptive communication activation circuit, identifying the depth intervals of each settlement monitoring node in the distribution of settlement monitoring nodes, and activating the corresponding matching communication modules of each settlement monitoring node in the adaptive communication activation circuit according to the depth intervals, where the adaptive communication activation circuit includes multiple communication modules; establishing a communication transmission protocol between each settlement monitoring node and the matching communication module in the relay communication gateway, and receiving a settlement monitoring distribution data set to a settlement monitoring processor according to the communication transmission protocol; the settlement monitoring processor performs risk analysis according to the settlement monitoring distribution data set to obtain a soil settlement risk warning signal.

[0005] Further, an adaptive communication activation circuit is constructed. The adaptive communication activation circuit includes a resistor array encoder, an MCU controller, and multiple MOSEFT switches; where the resistor array encoder is connected to the input pin of the MCU controller, the output pin of the MCU controller is connected to the control ends of the multiple MOSEFT switches, and the multiple MOSEFT switches respectively control the multiple communication modules.

[0006] Further, the MCU controller reads the output voltages of each settlement monitoring node to determine the depth range, and outputs control signals for controlling the matching communication modules corresponding to each settlement monitoring node. Among them, the output voltages of each settlement monitoring node are identified by the resistance array encoder; the MOSEFT switch controls the power supply switches of the multiple communication modules according to the control signals.

[0007] Further, obtain the layout configuration data of each settlement monitoring node in the settlement monitoring node distribution; design a resistance array encoder, and set different resistance arrays on the circuit boards of each settlement monitoring node according to the layout configuration data by the resistance array encoder; the resistance array encoder obtains the output voltage by identifying the resistance array.

[0008] Further, the resistance array includes a group of multiple resistors connected in series or in parallel.

[0009] Further, the MOSEFT switch controls the power supply switches of the multiple communication modules according to the control signals, and the control signals are level signals output by the GPIO of the MCU controller; among them, the types of the level signals include a preset high-level signal and a non-high-level signal, the preset high-level signal is used to control the MOSEFT power supply to conduct, and the non-high-level signal is used to control the MOSEFT power supply to disconnect.

[0010] Further, the sources of the multiple MOSEFT switches are connected to the power supply, and the drains are connected to the power supply terminals of the multiple communication modules.

[0011] Further, the multiple communication modules are communication methods in multiple preset depth ranges, including LoRa communication modules, NB-IoT communication modules, and optical fiber communication modules.

[0012] Further, the settlement monitoring processor includes a pre-trained settlement trend model, inputs the settlement monitoring distribution data set into the pre-trained settlement trend model for analysis, and obtains the settlement value change rate of the same settlement monitoring node at different times; according to the settlement value change rate of the same settlement monitoring node at different times, calculate the settlement difference gradient between each settlement monitoring node; when the settlement difference gradient is greater than the preset gradient threshold, upload the soil settlement risk warning signal through the matching communication module of the abnormal settlement monitoring node.

[0013] In the second aspect of the present application, a soil settlement monitoring system for deep foundation pit excavation is provided, and the system includes: Node distribution recognition unit: Recognize the settlement monitoring node distribution of the foundation pit; Communication activation unit: Construct an adaptive communication activation circuit, recognize the depth intervals of each settlement monitoring node in the settlement monitoring node distribution, and activate the matching communication modules corresponding to each settlement monitoring node in the adaptive communication activation circuit according to the depth intervals, where the adaptive communication activation circuit includes multiple communication modules; Data receiving unit: Establish a communication transmission protocol between each settlement monitoring node and the matching communication module in the relay communication gateway, and receive the settlement monitoring distribution data set to the settlement monitoring processor according to the communication transmission protocol; Risk analysis unit: The settlement monitoring processor performs risk analysis according to the settlement monitoring distribution data set to obtain a soil settlement risk warning signal.

[0014] One or more technical solutions provided in this application have at least the following technical effects or advantages: First, recognize the settlement monitoring node distribution of the foundation pit. Next, construct an adaptive communication activation circuit, recognize the depth intervals of each settlement monitoring node in the settlement monitoring node distribution, and activate the matching communication modules corresponding to each settlement monitoring node in the adaptive communication activation circuit according to the depth intervals, where the adaptive communication activation circuit includes multiple communication modules. Then, establish a communication transmission protocol between each settlement monitoring node and the matching communication module in the relay communication gateway, and receive the settlement monitoring distribution data set to the settlement monitoring processor according to the communication transmission protocol. Finally, the settlement monitoring processor performs risk analysis according to the settlement monitoring distribution data set to obtain a soil settlement risk warning signal. This solves the technical problem in the prior art that the monitoring data transmission is unstable, resulting in untimely warning response. By using the adaptive communication activation circuit to intelligently match the communication modules, the stable transmission of monitoring data is realized, and the technical effect of improving the real-time performance of settlement risk warning is achieved. Description of the Drawings

[0015] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0016] Figure 1 It is a schematic flow chart of the soil settlement monitoring method for deep foundation pit excavation provided by the embodiment of this application; Figure 2 It is a schematic structural diagram of the adaptive communication activation circuit provided by the embodiment of this application; Figure 3 It is a schematic structural diagram of the soil settlement monitoring system for deep foundation pit excavation provided by the embodiment of this application.

[0017] Description of reference numerals: node distribution identification unit 11 , communication activation unit 12 , data receiving unit 13 , risk analysis unit 14 . DETAILED DESCRIPTION

[0018] The present application solves the technical problem in the prior art of unstable monitoring data transmission leading to untimely early warning response by providing a soil settlement monitoring method and system for deep foundation pit excavation.

[0019] The following will be combined with the accompanying drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only some of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0020] It should be noted that the terms "including" and "having" are intended to cover non-exclusive inclusions. For example, a process, method, system, product or server that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or modules that are not clearly listed or are inherent to these processes, methods, products or devices.

[0021] Example 1, as Figure 1 As shown, the present application provides a soil settlement monitoring method for deep foundation pit excavation, wherein the method includes: Identify the distribution of settlement monitoring nodes of the foundation pit.

[0022] In the embodiments of this application, a three-dimensional foundation pit design model and construction structure diagrams, combined with actual engineering geological exploration data, are used to determine key monitoring locations in the deep foundation pit area and their corresponding spatial coordinates. Multiple settlement monitoring nodes are deployed at these key monitoring locations to collect vertical displacement information of the soil at different depths and locations in the foundation pit. Settlement monitoring nodes are monitoring units deployed at different spatial locations and depths in the deep foundation pit. They are typically integrated with multiple sensors, such as MEMS gravity accelerometers, displacement sensors, and fiber Bragg grating sensors (FBGs), to accurately monitor subtle changes in settlement.

[0023] Construct an adaptive communication activation circuit, identify the depth interval of each settlement monitoring node in the settlement monitoring node distribution, and activate the matching communication module corresponding to each settlement monitoring node in the adaptive communication activation circuit according to the depth interval, wherein the adaptive communication activation circuit includes multiple communication modules.

[0024] For the spatial positions and layout depth intervals of each settlement monitoring node obtained by recognition, design an adaptive communication activation circuit including multiple communication modules, and configure an identification logic and control device capable of identifying the node depth.

[0025] Furthermore, as Figure 2 shown, construct an adaptive communication activation circuit, which includes a resistor array encoder, an MCU controller, and multiple MOSFET switches; wherein, the resistor array encoder is connected to the input pin of the MCU controller, the output pin of the MCU controller is connected to the control ends of the multiple MOSFET switches, and the multiple MOSFET switches respectively control the multiple communication modules.

[0026] The adaptive communication activation circuit consists of a resistor array encoder, an MCU controller, and multiple MOSFET switches, and their connection relationship is as follows: The resistor array encoder is connected to the input pin of the MCU controller, used to encode and identify the resistor arrays configured for different settlement monitoring nodes, and output a voltage signal related to the node depth; the MCU controller reads this voltage signal, judges the depth interval where the current node is located according to the preset voltage-depth interval mapping relationship, and outputs a control signal to the corresponding MOSFET switch through its output pin; the control ends of the multiple MOSFET switches are respectively connected to the output pin of the MCU controller, their sources are connected to a unified power supply, and their drains are connected to the power supply ends of the multiple communication modules, used to control the power supply conduction states of each communication module.

[0027] By constructing the adaptive communication activation circuit, the settlement monitoring nodes in different depth intervals can automatically trigger and activate the communication modules matching their depths, realizing the dynamic scheduling of communication methods and the fine power supply management at the node level, and significantly improving the energy efficiency and reliability of the overall communication system.

[0028] Furthermore, according to the depth interval, activate the matching communication modules corresponding to each settlement monitoring node in the adaptive communication activation circuit, and the method includes: The MCU controller reads the output voltages of each settlement monitoring node to judge the depth interval, and outputs a control signal for controlling the matching communication module corresponding to each settlement monitoring node, wherein the output voltages of each settlement monitoring node are identified by the resistor array encoder; the MOSFET switch controls the power supply switches of the multiple communication modules according to the control signal.

[0029] Specifically, the MCU controller reads the output voltage signal of each settlement monitoring node, and this voltage signal is generated by a resistor array encoder preset on the node circuit board. Different depth intervals correspond to different resistor combinations, so that the output voltage has distinguishable depth characteristics.

[0030] The MCU controller compares the output voltage value with the preset voltage-depth mapping table to determine the depth interval to which the current node belongs, and outputs a corresponding control signal accordingly; the control signal is a level signal output by the GPIO port and is used to control the corresponding MOSFET switch to turn on or off. The MOSFET switch completes the power supply switchover according to the level control signal, so as to realize the activation power supply only for the communication module that matches the depth of the current settlement monitoring node.

[0031] Furthermore, the output voltages of each settlement monitoring node are identified by the resistor array encoder. The method includes: Obtain the layout configuration data of each settlement monitoring node in the distribution of the settlement monitoring nodes; design a resistor array encoder, and set different resistor arrays on the circuit boards of each settlement monitoring node according to the layout configuration data by the resistor array encoder; the resistor array encoder obtains the output voltage by identifying the resistor array.

[0032] Based on the distribution of the settlement monitoring nodes, obtain the spatial layout positions and the depth intervals where each settlement monitoring node is located, and form layout configuration data; according to the layout configuration data, customize the design of the circuit board of each settlement monitoring node, and set different combinations of resistor arrays on its circuit board. Among them, the resistor array is composed of several series-connected or parallel-connected resistor units, and its combination method corresponds one-to-one with the depth interval where the node is located. The resistor array encoder electrically identifies the resistor array, and through the preset resistor-voltage mapping relationship, outputs the corresponding identification voltage value, and this voltage value is input to the MCU controller as a characteristic signal to judge the depth interval where the current node is located and activate the corresponding communication module.

[0033] Furthermore, the resistor array includes a group of multiple series-connected or parallel-connected resistors.

[0034] The resistor array includes a group of multiple resistor elements, and these resistor elements can be combined and configured in series, parallel or series-parallel hybrid connection modes according to the preset coding rules. Different combination modes correspond to different equivalent resistance values, so as to output differentiated voltage signals for characterizing the depth identity of the settlement monitoring node. For example, for the monitoring nodes in different depth intervals, specific combinations of resistor arrays are respectively configured, so that after being powered on, a unique voltage output is formed through the resistor array encoder, and this output voltage is identified by the MCU controller and used to trigger the activation of the corresponding communication module.

[0035] Furthermore, the MOSEFT switch controls the power supply switches of the multiple communication modules according to the control signal, and the control signal is a level signal output by the GPIO of the MCU controller; wherein, the types of the level signals include a preset high-level signal and a non-high-level signal, the preset high-level signal is used to control the MOSEFT power supply to conduct, and the non-high-level signal is used to control the MOSEFT power supply to disconnect.

[0036] The MOSEFT switch controls the power supply on and off of multiple communication modules according to the level signal output by the GPIO of the MCU controller. To avoid communication conflicts and resource waste, the system only allows one GPIO to output a high level at any moment, and the rest of the GPIOs remain in the low-level state, thus ensuring that only one communication module is activated at any moment.

[0037] The types of the level signals include a preset high-level signal and a non-high-level signal. Among them, the high-level signal is used to drive the corresponding MOSFET switch to conduct, so that the source input voltage can be transmitted to the power supply terminal of the communication module to activate the power-on of the communication module; and the non-high-level signal (including low level or high impedance state) is used to control the MOSFET to turn off and cut off the power supply path to avoid power consumption of invalid communication modules.

[0038] Furthermore, the sources of the multiple MOSEFT switches are connected to the power supply, and the drains are connected to the power supply terminals of the multiple communication modules.

[0039] The sources of the multiple MOSFET switches are uniformly connected to the system power supply to receive a stable operating voltage, and the drains are respectively connected to the power supply terminals of each communication module to control the on and off power supply of the corresponding communication module by the power supply.

[0040] When the MCU controller outputs a high-level control signal through the GPIO pin, the corresponding MOSFET switch conducts, and the power supply voltage is transmitted from the source to the drain, thereby providing a working voltage for the target communication module to activate the module; when the control signal is a non-high level, the corresponding MOSFET turns off, cutting off the power supply path, thereby turning off the power supply of the communication module.

[0041] Furthermore, the multiple communication modules are communication methods in multiple preset depth ranges, including LoRa communication modules, NB-IoT communication modules, and optical fiber communication modules.

[0042] Multiple communication modules respectively correspond to multiple preset depth intervals. Each type of communication module is suitable for the signal transmission requirements in a specific depth environment, specifically including LoRa communication module, NB-IoT communication module, and fiber optic communication module. Among them, the LoRa communication module is suitable for settlement monitoring nodes in the shallow to middle layer areas, with the characteristics of low power consumption, long distance, and relatively strong penetration ability, and is suitable for open or semi-open environments; the NB-IoT communication module is suitable for the middle layer to deeper areas, relying on the cellular network to achieve high-reliability remote data transmission, and is suitable for urban foundations or construction environments with relatively stable signals; the fiber optic communication module is suitable for settlement monitoring nodes in deep or high-interference intervals, with the advantages of strong anti-electromagnetic interference ability, high signal stability, and fast transmission rate, and is suitable for accurate data transmission in extreme depths or complex geological structures.

[0043] By configuring matching communication modules for monitoring nodes at different depths, the stability and timeliness of monitoring data transmission are improved.

[0044] Establish a communication transmission protocol between each settlement monitoring node and the matching communication module in the relay communication gateway, and receive the settlement monitoring distribution data set to the settlement monitoring processor according to the communication transmission protocol.

[0045] In the embodiment of the present application, by establishing a communication transmission protocol between each settlement monitoring node and its corresponding matching communication module in the relay communication gateway, it is ensured that data of different types of communication methods can be uniformly and stably transmitted to the settlement monitoring processor.

[0046] Specifically, the system presets several communication protocol templates, which are respectively adapted to modules such as LoRa, NB-IoT, and fiber optic communication. The relay communication gateway identifies the type of currently activated communication module and calls the corresponding protocol template to establish a communication connection with the target monitoring node. The communication transmission protocol includes, but is not limited to, parameter configurations such as device identification code, communication frequency band, data sampling rate, transmission interval, message structure, and error checking mechanism.

[0047] Based on the communication protocol, the settlement monitoring node uploads the collected real-time settlement data to the relay communication gateway through the corresponding communication module. After the relay communication gateway unifies the data format and caches it, it forwards it to the settlement monitoring processor to construct a settlement monitoring distribution data set.

[0048] The settlement monitoring processor performs risk analysis according to the settlement monitoring distribution data set to obtain a soil settlement risk warning signal.

[0049] After receiving the settlement monitoring distribution data set, the settlement monitoring processor performs dynamic risk analysis on the settlement change situation in the deep foundation pit area to generate a soil settlement risk warning signal.

[0050] Furthermore, the settlement monitoring processor performs risk analysis according to the settlement monitoring distribution data set to obtain a soil settlement risk warning signal. The method includes: The settlement monitoring processor includes a pre-trained settlement trend model. The settlement monitoring distribution data set is input into the pre-trained settlement trend model for analysis to obtain the settlement value change rate of the same settlement monitoring node at different times; according to the settlement value change rate of the same settlement monitoring node at different times, calculate the settlement difference gradient between each settlement monitoring node; when the settlement difference gradient is greater than the preset gradient threshold, upload the soil settlement risk warning signal through the matching communication module of the abnormal settlement monitoring node.

[0051] The settlement monitoring processor is built-in with a pre-trained settlement trend model. The settlement trend model is trained based on historical settlement data, node distribution characteristics, and engineering geological parameters, and has the ability to predict settlement trends at different depths and stages. Specifically, after receiving the current settlement monitoring distribution data set, the settlement monitoring processor inputs the data of different times of each settlement monitoring node into the settlement trend model to obtain the settlement value change rate of each settlement monitoring node; compares the settlement value change rates between multiple settlement monitoring nodes in a spatially adjacent or structurally related relationship, and calculates their settlement difference gradient to judge the non-uniformity of regional settlement deformation. When the settlement difference gradient between any pair of nodes exceeds the gradient threshold preset by the system, it is determined as a potential abnormal settlement trend, and the settlement monitoring processor uploads the soil settlement risk warning signal to the system in real time through the matching communication module connected to the corresponding abnormal node.

[0052] Preferably, historical settlement monitoring data is collected from multiple typical deep foundation pit engineering projects to construct a training sample set. Each sample includes the time series data of settlement monitoring nodes (such as recording the settlement value every 30 minutes), the construction stage annotation at the corresponding moment (such as support construction, support installation, dewatering stage), the node spatial position (XYZ coordinates), the burial depth and the stratum type where it is located, and the external environment impact data (such as groundwater level, rainfall, surrounding construction disturbance records). After all the data is aligned in time series and normalized, an input feature matrix is constructed. A settlement trend prediction model with time series as the input is constructed. The preferred structure is a multi-layer LSTM (Long Short-Term Memory) network, whose structure includes an input layer, an LSTM encoding layer, a fully connected layer and an output layer. The initial weights are initialized by Xavier, the activation function is ReLU, and the loss function is mean square error (MSE). The prepared data set is divided according to the ratio of 70% training set, 15% validation set, and 15% test set. During the training stage, the historical settlement data sequence of each group of monitoring nodes is input, and the output is the settlement value at the target prediction moment. The backpropagation and Adam optimizer are used for iterative training to update the network parameters. After each round of training, the error is evaluated on the validation set, and the learning rate and batch size are dynamically adjusted to avoid overfitting. The test set is used for performance evaluation, and the mean square error (MSE), mean absolute error (MAE) and R² coefficient of determination are used for evaluation. The optimal model parameter combination is selected and saved as the deployment version, and the trained model is loaded into the settlement monitoring processor.

[0053] In summary, the embodiments of the present application have at least the following technical effects: First, identify the distribution of settlement monitoring nodes in the foundation pit. Then, construct an adaptive communication activation circuit to identify the depth intervals of each settlement monitoring node in the settlement monitoring node distribution, and activate the corresponding matching communication modules of each settlement monitoring node in the adaptive communication activation circuit according to the depth intervals. The adaptive communication activation circuit includes multiple communication modules. Then, establish a communication transmission protocol between each settlement monitoring node and the matching communication module in the relay communication gateway, and receive the settlement monitoring distribution data set to the settlement monitoring processor according to the communication transmission protocol. Finally, the settlement monitoring processor performs risk analysis according to the settlement monitoring distribution data set to obtain a soil settlement risk warning signal. It solves the technical problem in the prior art that the monitoring data transmission is unstable, resulting in untimely warning response. By using the adaptive communication activation circuit to intelligently match the communication modules, the stable transmission of monitoring data is realized, and the technical effect of improving the real-time performance of settlement risk warning is achieved.

[0054] Embodiment 2 is based on the same inventive concept as the method for monitoring soil settlement during deep foundation pit excavation in the foregoing embodiment, such as Figure 3As shown in the figure, the present application provides a soil settlement monitoring system for deep foundation pit excavation. The system includes: Node distribution recognition unit 11: Recognize the settlement monitoring node distribution of the foundation pit; Communication activation unit 12: Construct an adaptive communication activation circuit, recognize the depth intervals of each settlement monitoring node in the settlement monitoring node distribution, and activate the corresponding matching communication modules of each settlement monitoring node in the adaptive communication activation circuit according to the depth intervals. Among them, the adaptive communication activation circuit includes multiple communication modules; Data receiving unit 13: Establish a communication transmission protocol between each settlement monitoring node and the matching communication module in the relay communication gateway, and receive the settlement monitoring distribution data set to the settlement monitoring processor according to the communication transmission protocol; Risk analysis unit 14: The settlement monitoring processor performs risk analysis according to the settlement monitoring distribution data set to obtain a soil settlement risk warning signal.

[0055] Furthermore, the communication activation unit 12 is used to execute the following method: Construct an adaptive communication activation circuit, which includes a resistor array encoder, an MCU controller, and multiple MOSEFT switches; among them, the resistor array encoder is connected to the input pin of the MCU controller, the output pin of the MCU controller is connected to the control ends of the multiple MOSEFT switches, and the multiple MOSEFT switches respectively control the multiple communication modules.

[0056] Furthermore, the communication activation unit 12 is used to execute the following method: The MCU controller reads the output voltages of each settlement monitoring node for depth interval judgment, and outputs control signals for controlling the corresponding matching communication modules of each settlement monitoring node. Among them, the output voltages of each settlement monitoring node are recognized by the resistor array encoder; the MOSEFT switch controls the power supply switches of the multiple communication modules according to the control signals.

[0057] Furthermore, the communication activation unit 12 is used to execute the following method: Obtain the layout configuration data of each settlement monitoring node in the settlement monitoring node distribution; design a resistor array encoder, and set different resistor arrays on the circuit boards of each settlement monitoring node according to the layout configuration data by the resistor array encoder; the resistor array encoder obtains the output voltage by recognizing the resistor array.

[0058] Furthermore, the communication activation unit 12 is used to execute the following method: The resistor array includes a group of multiple resistors connected in series or parallel.

[0059] Furthermore, the communication activation unit 12 is used to execute the following method: The MOSEFT switch controls the power supply switches of the multiple communication modules according to the control signal, and the control signal is a level signal output by the GPIO of the MCU controller; wherein, the types of the level signals include a preset high-level signal and a non-high-level signal, the preset high-level signal is used to control the MOSEFT power supply to conduct, and the non-high-level signal is used to control the MOSEFT power supply to disconnect.

[0060] Further, the communication activation unit 12 is used to execute the following method: The sources of the multiple MOSEFT switches are connected to the power supply, and the drains are connected to the power supply terminals of the multiple communication modules.

[0061] Further, the communication activation unit 12 is used to execute the following method: The multiple communication modules are communication methods in multiple preset depth ranges, including a LoRa communication module, an NB-IoT communication module, and an optical fiber communication module.

[0062] Further, the risk analysis unit 14 is used to execute the following method: The settlement monitoring processor includes a pre-trained settlement trend model. The settlement monitoring distribution data set is input into the pre-trained settlement trend model for analysis to obtain the settlement value change rate of the same settlement monitoring node at different times; according to the settlement value change rate of the same settlement monitoring node at different times, calculate the settlement difference gradient between each settlement monitoring node; when the settlement difference gradient is greater than the preset gradient threshold, upload the soil settlement risk warning signal through the matching communication module of the abnormal settlement monitoring node.

[0063] It should be noted that the above-mentioned sequence of embodiments of the present application is only for description and does not represent the superiority or inferiority of the embodiments. And the above description of specific embodiments of this specification has been made. The processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0064] The above are only the preferred embodiments of the present application and are not intended to limit the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

[0065] This specification and the drawings are merely exemplary illustrations of the present application and are considered to cover any and all modifications, variations, combinations, or equivalents within the scope of the present application. Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalent technologies, the present application is intended to include these changes and modifications therein.

Claims

1. A method for monitoring soil settlement during deep foundation pit excavation, characterized in that, The method includes: Identifying the distribution of settlement monitoring nodes in the foundation pit; Constructing an adaptive communication activation circuit, identifying the depth intervals of each settlement monitoring node in the distribution of settlement monitoring nodes, and activating the matching communication modules corresponding to each settlement monitoring node in the adaptive communication activation circuit according to the depth intervals, where the adaptive communication activation circuit includes multiple communication modules; Establishing a communication transmission protocol between each settlement monitoring node and the matching communication module in the relay communication gateway, and receiving the settlement monitoring distribution data set to the settlement monitoring processor according to the communication transmission protocol; The settlement monitoring processor performs risk analysis according to the settlement monitoring distribution data set to obtain a soil settlement risk warning signal.

2. The soil settlement monitoring method for deep foundation pit excavation according to claim 1, characterized in that, Constructing an adaptive communication activation circuit, where the adaptive communication activation circuit includes a resistor array encoder, an MCU controller, and multiple MOSEFT switches; Wherein, the resistor array encoder is connected to the input pin of the MCU controller, the output pin of the MCU controller is connected to the control ends of the multiple MOSEFT switches, and the multiple MOSEFT switches respectively control the multiple communication modules.

3. The soil settlement monitoring method for deep foundation pit excavation according to claim 2, characterized in that, Activating the matching communication modules corresponding to each settlement monitoring node in the adaptive communication activation circuit according to the depth intervals, the method includes: The MCU controller reads the output voltages of each settlement monitoring node to judge the depth interval, and outputs a control signal for controlling the matching communication module corresponding to each settlement monitoring node, where the output voltages of each settlement monitoring node are identified by the resistor array encoder; The MOSEFT switch controls the power supply switches of the multiple communication modules according to the control signal.

4. The soil settlement monitoring method for deep foundation pit excavation according to claim 3, characterized in that, The output voltages of each settlement monitoring node are identified by the resistor array encoder, the method includes: Obtaining the layout configuration data of each settlement monitoring node in the distribution of settlement monitoring nodes; Designing a resistor array encoder, and setting different resistor arrays on the circuit boards of each settlement monitoring node according to the layout configuration data by the resistor array encoder; The resistor array encoder obtains the output voltage by identifying the resistor array.

5. The method for monitoring soil settlement for deep foundation pit excavation according to claim 4, wherein The resistor array includes a group of multiple resistors connected in series or in parallel.

6. The method for monitoring soil settlement for deep foundation pit excavation according to claim 3, characterized in that, The MOSEFT switch controls the power supply switches of the multiple communication modules according to the control signal, and the control signal is a level signal output by the GPIO of the MCU controller; Wherein, the type of the level signal includes a preset high-level signal and a non-high-level signal, the preset high-level signal is used to control the MOSEFT power supply to conduct, and the non-high-level signal is used to control the MOSEFT power supply to disconnect.

7. The soil settlement monitoring method for deep foundation pit excavation according to claim 2, characterized in that, The sources of the multiple MOSEFT switches are connected to the power supply, and the drains are connected to the power supply terminals of the multiple communication modules.

8. The soil settlement monitoring method for deep foundation pit excavation according to claim 1, characterized in that, The multiple communication modules are communication methods in multiple preset depth intervals, including LoRa communication modules, NB-IoT communication modules, and optical fiber communication modules.

9. The method for monitoring soil settlement for deep foundation pit excavation according to claim 1, characterized in that, The settlement monitoring processor performs risk analysis according to the settlement monitoring distribution data set to obtain a soil settlement risk warning signal, the method includes: The settlement monitoring processor includes a pre-trained settlement trend model. The settlement monitoring distribution data set is input into the pre-trained settlement trend model for analysis to obtain the settlement value change rate of the same settlement monitoring node at different times; According to the settlement value change rate of the same settlement monitoring node at different times, calculate the settlement difference gradient between each settlement monitoring node; When the settlement difference gradient is greater than the preset gradient threshold, upload the soil settlement risk warning signal through the matching communication module of the abnormal settlement monitoring node.

10. Soil settlement monitoring system for deep foundation pit excavation, characterized in that, For implementing the soil settlement monitoring method for deep foundation pit excavation according to any one of claims 1-9, the system includes: Node distribution identification unit: Identify the distribution of settlement monitoring nodes of the foundation pit; Communication activation unit: Construct an adaptive communication activation circuit, identify the depth interval of each settlement monitoring node in the settlement monitoring node distribution, and activate the corresponding matching communication module of each settlement monitoring node in the adaptive communication activation circuit according to the depth interval, wherein the adaptive communication activation circuit includes multiple communication modules; Data receiving unit: Establish a communication transmission protocol between each settlement monitoring node and the matching communication module in the relay communication gateway, and receive the settlement monitoring distribution data set to the settlement monitoring processor according to the communication transmission protocol; Risk analysis unit: The settlement monitoring processor performs risk analysis according to the settlement monitoring distribution data set to obtain a soil settlement risk warning signal.

Images