Soil settlement monitoring method and system for deep foundation pit excavation

Abstract

The present 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: identifying the distribution of settlement monitoring nodes of the foundation pit; constructing an adaptive communication activation circuit, identifying the depth interval of each settlement monitoring node, activating the matching communication module corresponding to each settlement monitoring node in the adaptive communication activation circuit according to the depth interval; establishing a communication transmission protocol between each settlement monitoring node and the matching communication module in the relay communication gateway, receiving the settlement monitoring distribution data set to the settlement monitoring processor; 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 unstable monitoring data transmission leads to untimely warning response, and realizes stable transmission of monitoring data through intelligent matching of communication modules by the adaptive communication activation circuit, thereby achieving the technical effect of improving the real-time performance of settlement risk warning.

Description

Technical Field

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

[0002] During deep foundation pit construction, soil settlement is a key factor affecting pit safety and the stability of surrounding structures. Because pit excavation disrupts the original soil's stress equilibrium, the surrounding soil undergoes varying degrees of deformation and settlement during stress redistribution. Traditional settlement monitoring methods often rely on single communication methods, such as LoRa or NB-IoT. These methods struggle to balance signal penetration, power consumption, and real-time data in multi-layer depth environments. This results in delayed or lost data transmission in deep layers, impacting construction safety assessments and risk warnings. 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 in the prior art of unstable monitoring data transmission leading to untimely early warning response.

[0004] In a first aspect of the present application, a soil settlement monitoring method for deep foundation pit excavation is provided, the method comprising:

[0005] Identify the distribution of settlement monitoring nodes of the foundation pit; construct an adaptive communication activation circuit to 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; 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; the settlement monitoring processor performs risk analysis according to the settlement monitoring distribution data set to obtain a soil settlement risk warning signal.

[0006] Furthermore, an adaptive communication activation circuit is constructed, which includes a resistor array encoder, an MCU controller and multiple MOS EFT 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 end of the multiple MOS EFT switches, and the multiple MOS EFT switches respectively control the multiple communication modules.

[0007] Furthermore, the MCU controller reads the output voltage of each settlement monitoring node to perform depth interval judgment, and outputs a control signal to control the matching communication module corresponding to each settlement monitoring node, wherein the output voltage of each settlement monitoring node is identified by the resistor array encoder; the MOS EFT switch controls the power supply switches of the multiple communication modules according to the control signal.

[0008] Furthermore, the layout configuration data of each settlement monitoring node in the settlement monitoring node distribution is obtained; a resistor array encoder is designed, and different resistor arrays are set on the circuit board of each settlement monitoring node according to the layout configuration data; the resistor array encoder obtains the output voltage by identifying the resistor array.

[0009] Furthermore, the resistor array includes a group of multiple resistors connected in series or in parallel.

[0010] Furthermore, the MOS EFT 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 MOS EFT power supply to be turned on, and the non-high level signal is used to control the MOS EFT power supply to be turned off.

[0011] Furthermore, the sources of the multiple MOSFET switches are connected to the power supply, and the drains are connected to the power supply terminals of the multiple communication modules.

[0012] Furthermore, the multiple communication modules are communication modes under multiple preset depth intervals, including LoRa communication module, NB-IoT communication module and optical fiber communication module.

[0013] Furthermore, the settlement monitoring processor includes a pre-trained settlement trend model, and 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; based on the settlement value change rate of the same settlement monitoring node at different times, the settlement difference gradient between each settlement monitoring node is calculated; when the settlement difference gradient is greater than a preset gradient threshold, the soil settlement risk warning signal is uploaded through the matching communication module of the abnormal settlement monitoring node.

[0014] A second aspect of the present application provides a soil settlement monitoring system for deep foundation pit excavation, the system comprising:

[0015] Node distribution identification unit: identifies the settlement monitoring node distribution of the foundation pit; communication activation unit: constructs an adaptive communication activation circuit, identifies the depth interval of each settlement monitoring node in the settlement monitoring node distribution, and activates 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; data receiving unit: establishes a communication transmission protocol between each settlement monitoring node and the matching communication module in the relay communication gateway, and receives 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.

[0016] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0017] First, the distribution of settlement monitoring nodes of the foundation pit is identified. Then, an adaptive communication activation circuit is constructed to identify the depth interval of each settlement monitoring node in the settlement monitoring node distribution, and the matching communication module corresponding to each settlement monitoring node in the adaptive communication activation circuit is activated according to the depth interval, wherein the adaptive communication activation circuit includes multiple communication modules. Then, a communication transmission protocol between each settlement monitoring node and the matching communication module is established in the relay communication gateway, and the settlement monitoring distribution data set is received 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. The technical problem of unstable monitoring data transmission leading to untimely warning response in the existing technology is solved. The adaptive communication activation circuit intelligently matches the communication module to achieve stable transmission of monitoring data, and achieves the technical effect of improving the real-time nature of settlement risk warning. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0019] Figure 1 A schematic flow chart of a soil settlement monitoring method for deep foundation pit excavation provided in an embodiment of the present application;

[0020] Figure 2 A schematic diagram of the structure of an adaptive communication activation circuit provided in an embodiment of the present application;

[0021] Figure 3A schematic structural diagram of a soil settlement monitoring system for deep foundation pit excavation provided in an embodiment of the present application.

[0022] Description of reference numerals: node distribution identification unit 11 , communication activation unit 12 , data receiving unit 13 , risk analysis unit 14 . DETAILED DESCRIPTION

[0023] 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.

[0024] 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.

[0025] 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.

[0026] 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:

[0027] Identify the distribution of settlement monitoring nodes of the foundation pit.

[0028] 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.

[0029] 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.

[0030] Based on the identified spatial positions and layout depth intervals of each settlement monitoring node, an adaptive communication activation circuit including multiple communication modules is designed, and an identification logic and control device that can identify the node depth is configured.

[0031] Furthermore, if Figure 2 As shown, an adaptive communication activation circuit is constructed, 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 end of the multiple MOSFET switches, and the multiple MOSFET switches respectively control the multiple communication modules.

[0032] The adaptive communication activation circuit consists of a resistor array encoder, an MCU controller and multiple MOSFET switches, and its 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 the voltage signal, determines the depth interval of the current node based on a preset voltage-depth interval mapping relationship, and outputs a control signal to the corresponding MOSFET switch through its output pin; the control ends of multiple MOSFET switches are respectively connected to the output pins of the MCU controller, their sources are connected to a unified power supply, and their drains are connected to the power supply ends of multiple communication modules, which are used to control the power supply conduction status of each communication module.

[0033] By constructing an adaptive communication activation circuit, settlement monitoring nodes in different depth ranges can automatically trigger and activate the communication module that matches their depth, realizing dynamic scheduling of communication methods and fine power supply management at the node level, significantly improving the energy efficiency and reliability of the overall communication system.

[0034] Furthermore, according to the depth interval, activating the matching communication modules corresponding to the respective subsidence monitoring nodes in the adaptive communication activation circuit, the method includes:

[0035] The MCU controller reads the output voltage of each settlement monitoring node to perform depth interval judgment, and outputs a control signal to control the matching communication module corresponding to each settlement monitoring node, wherein the output voltage of each settlement monitoring node is identified by the resistor array encoder; the MOS EFT switch controls the power supply switches of the multiple communication modules according to the control signal.

[0036] Specifically, the MCU controller reads the output voltage signal of each settlement monitoring node. The voltage signal is generated by a resistor array encoder preset on the node circuit board. Different depth ranges correspond to different resistance combinations, so that the output voltage has distinguishable depth characteristics.

[0037] The MCU controller compares the output voltage with a preset voltage-depth mapping table to determine the depth range of the current node and outputs a corresponding control signal accordingly. This control signal is a level signal output by the GPIO port, which controls the corresponding MOSFET switch to turn on or off. The MOSFET switch switches the power supply according to the level control signal, activating and powering only the communication module that matches the depth of the current subsidence monitoring node.

[0038] Furthermore, the output voltage of each settlement monitoring node is identified by the resistor array encoder, and the method includes:

[0039] Obtain 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 board of each settlement monitoring node according to the layout configuration data; the resistor array encoder obtains an output voltage by identifying the resistor array.

[0040] Based on the distribution of subsidence monitoring nodes, the spatial location and depth range of each subsidence monitoring node are obtained to generate layout configuration data. Based on this layout configuration data, a customized circuit board design is performed for each subsidence monitoring node, with different combinations of resistor arrays installed on the circuit board. The resistor arrays are composed of several resistor units connected in series or parallel, and their combinations correspond one-to-one with the depth range of the node. A resistor array encoder is used to electrically identify the resistor arrays. Based on a preset resistance-voltage mapping relationship, the corresponding identification voltage value is output. This voltage value is input into the MCU controller as a characteristic signal, which is used to determine the depth range of the current node and activate the corresponding communication module.

[0041] Furthermore, the resistor array includes a group of multiple resistors connected in series or in parallel.

[0042] The resistor array includes a group of multiple resistor elements, which can be combined and configured in series, parallel, or a combination of series and parallel according to preset coding rules. Different combinations correspond to different equivalent resistance values, thereby outputting differentiated voltage signals to characterize the depth identity of the settlement monitoring node. For example, for monitoring nodes in different depth ranges, specific combinations of resistor arrays are configured respectively, so that after power is applied, a unique voltage output is generated through the resistor array encoder. This output voltage is recognized by the MCU controller and used to trigger the activation of the corresponding communication module.

[0043] Furthermore, the MOS EFT 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 MOS EFT power supply to be turned on, and the non-high level signal is used to control the MOS EFT power supply to be turned off.

[0044] The MOSEFT switch controls the power supply to multiple communication modules based on the level signal output by the MCU controller's GPIO. To avoid communication conflicts and resource waste, the system only allows one GPIO to output a high level at any given time, while the remaining GPIOs remain low, ensuring that only one communication module is active at any given time.

[0045] The types of level signals include preset high-level signals and non-high-level signals. Among them, the high-level signal is used to drive the corresponding MOSFET switch to turn on, so that its source input voltage can be transmitted to the power supply end of the communication module, thereby realizing the power-on activation of the communication module; while the non-high-level signal (including low level or high-impedance state) is used to control the MOSFET to turn off, cut off the power supply path, and avoid invalid power consumption of the communication module.

[0046] Furthermore, the sources of the plurality of MOSFET switches are connected to a power supply, and the drains are connected to power supply terminals of the plurality of communication modules.

[0047] The sources of 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 ends of each communication module to control the power supply to the corresponding communication module.

[0048] When the MCU controller outputs a high-level control signal through the GPIO pin, the corresponding MOSFET switch is turned on, and the power supply voltage is transmitted from the source to the drain, thereby providing operating voltage for the target communication module and activating the module; when the control signal is not high, the corresponding MOSFET is turned off, cutting off the power supply path, thereby turning off the power supply of the communication module.

[0049] Furthermore, the multiple communication modules are communication modes under multiple preset depth intervals, including LoRa communication module, NB-IoT communication module and optical fiber communication module.

[0050] Multiple communication modules correspond to multiple preset depth ranges, each tailored to signal transmission requirements in specific depth environments. These modules include LoRa, NB-IoT, and fiber-optic communication modules. The LoRa module is suitable for subsidence monitoring nodes in shallow to mid-layer areas, offering low power consumption, long range, and strong penetration, making it suitable for open or semi-open environments. The NB-IoT module is suitable for mid- to deep-layer areas, relying on cellular networks for highly reliable remote data transmission. It is suitable for urban foundations or construction environments with relatively stable signals. The fiber-optic communication module is suitable for subsidence monitoring nodes in deep layers or high-interference areas. It boasts strong resistance to electromagnetic interference, high signal stability, and fast transmission rates, making it suitable for precise data transmission at extreme depths or in complex geological structures.

[0051] By configuring matching communication modules for monitoring nodes at different depths, the stability and timeliness of monitoring data transmission are improved.

[0052] A communication transmission protocol between each settlement monitoring node and a matching communication module is established in the relay communication gateway, and a settlement monitoring distribution data set is received to a settlement monitoring processor according to the communication transmission protocol.

[0053] In an embodiment of the present application, a communication transmission protocol is established between each settlement monitoring node and its corresponding matching communication module in the relay communication gateway to ensure that data of different types of communication modes can be uniformly and stably transmitted to the settlement monitoring processor.

[0054] Specifically, the system pre-sets several communication protocol templates, each suitable for modules such as LoRa, NB-IoT, and fiber-optic communication. The system uses a relay communication gateway to identify the currently active communication module type and invoke 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.

[0055] 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. The relay communication gateway unifies the format and caches the data, and then forwards it to the settlement monitoring processor to build a settlement monitoring distribution data set.

[0056] The settlement monitoring processor performs risk analysis according to the settlement monitoring distribution data set to obtain a soil settlement risk warning signal.

[0057] After receiving the settlement monitoring distribution data set, the settlement monitoring processor performs a dynamic risk analysis on the settlement change of the deep foundation pit area based on the settlement monitoring distribution data set to generate a soil settlement risk warning signal.

[0058] Furthermore, the settlement monitoring processor performs risk analysis according to the settlement monitoring distribution data set to obtain a soil settlement risk warning signal, and the method includes:

[0059] The settlement monitoring processor includes a pre-trained settlement trend model, and 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; based on the settlement value change rate of the same settlement monitoring node at different times, the settlement difference gradient between each settlement monitoring node is calculated; when the settlement difference gradient is greater than the preset gradient threshold, the soil settlement risk warning signal is uploaded through the matching communication module of the abnormal settlement monitoring node.

[0060] The settlement monitoring processor has a pre-trained settlement trend model built in. 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 the settlement monitoring processor receives the current settlement monitoring distribution data set, it inputs the data of each settlement monitoring node at different times into the settlement trend model to obtain the settlement value change rate of each settlement monitoring node; the settlement value change rates between multiple settlement monitoring nodes that are in spatial proximity or structural association are compared, and their settlement difference gradients are calculated to determine the degree of 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 to be a potential abnormal settlement trend. The settlement monitoring processor uploads a soil settlement risk warning signal to the system in real time through the matching communication module connected to the corresponding abnormal node.

[0061] Preferably, historical settlement monitoring data is collected from multiple typical deep foundation pit projects to construct a training sample set. Each sample includes time series data for the settlement monitoring node (e.g., settlement values ​​recorded every 30 minutes), the corresponding construction phase annotation (e.g., support construction, support installation, and dewatering phase), the node's spatial location (XYZ coordinates), the burial depth and stratum type, and external environmental impact data (e.g., groundwater level, rainfall, and records of surrounding construction disturbances). All data are time-series aligned and normalized to construct an input feature matrix. A settlement trend prediction model using time series as input is constructed, preferably with a multi-layer LSTM (Long Short-Term Memory) network structure, comprising an input layer, an LSTM encoding layer, a fully connected layer, and an output layer. The initial weights are initialized using Xavier, the activation function is ReLU, and the loss function is mean squared error (MSE). The prepared dataset was divided into a 70% training set, a 15% validation set, and a 15% test set. During the training phase, historical settlement data sequences for each monitoring node were input, and the output was the settlement value at the target prediction time. Backpropagation and the Adam optimizer were used for iterative training, updating network parameters. After each round of training, the error was evaluated on the validation set, and the learning rate and batch size were dynamically adjusted to avoid overfitting. Performance was evaluated on the test set using mean squared error (MSE), mean absolute error (MAE), and R² coefficient of determination. The optimal model parameter combination was selected and saved as a deployment version. The trained model was then loaded into the settlement monitoring processor.

[0062] In summary, the embodiments of the present application have at least the following technical effects:

[0063] First, the distribution of settlement monitoring nodes of the foundation pit is identified. Then, an adaptive communication activation circuit is constructed to identify the depth interval of each settlement monitoring node in the settlement monitoring node distribution, and the matching communication module corresponding to each settlement monitoring node in the adaptive communication activation circuit is activated according to the depth interval, wherein the adaptive communication activation circuit includes multiple communication modules. Then, a communication transmission protocol between each settlement monitoring node and the matching communication module is established in the relay communication gateway, and the settlement monitoring distribution data set is received 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. The technical problem of unstable monitoring data transmission leading to untimely warning response in the existing technology is solved. The adaptive communication activation circuit intelligently matches the communication module to achieve stable transmission of monitoring data, and achieves the technical effect of improving the real-time nature of settlement risk warning.

[0064] Example 2, based on the same inventive concept as the soil settlement monitoring method for deep foundation pit excavation in the above embodiment, Figure 3As shown, the present application provides a soil settlement monitoring system for deep foundation pit excavation, wherein the system includes:

[0065] Node distribution identification unit 11: identifies the settlement monitoring node distribution of the foundation pit; communication activation unit 12: constructs an adaptive communication activation circuit, identifies the depth interval of each settlement monitoring node in the settlement monitoring node distribution, and activates 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; data receiving unit 13: establishes a communication transmission protocol between each settlement monitoring node and the matching communication module in the relay communication gateway, and receives 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.

[0066] Furthermore, the communication activation unit 12 is configured to execute the following method:

[0067] An adaptive communication activation circuit is constructed, which includes a resistor array encoder, an MCU controller, and multiple MOSFET switches; wherein the resistor array encoder is connected to an input pin of the MCU controller, the output pin of the MCU controller is connected to the control end of the multiple MOSFET switches, and the multiple MOSFET switches respectively control the multiple communication modules.

[0068] Furthermore, the communication activation unit 12 is configured to execute the following method:

[0069] The MCU controller reads the output voltage of each settlement monitoring node to perform depth interval judgment, and outputs a control signal to control the matching communication module corresponding to each settlement monitoring node, wherein the output voltage of each settlement monitoring node is identified by the resistor array encoder; the MOS EFT switch controls the power supply switches of the multiple communication modules according to the control signal.

[0070] Furthermore, the communication activation unit 12 is configured to execute the following method:

[0071] Obtain 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 board of each settlement monitoring node according to the layout configuration data; the resistor array encoder obtains an output voltage by identifying the resistor array.

[0072] Furthermore, the communication activation unit 12 is configured to execute the following method:

[0073] The resistor array includes a group of multiple resistors connected in series or in parallel.

[0074] Furthermore, the communication activation unit 12 is configured to execute the following method:

[0075] The MOS EFT 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 MOS EFT power supply to be turned on, and the non-high level signal is used to control the MOS EFT power supply to be turned off.

[0076] Furthermore, the communication activation unit 12 is configured to execute the following method:

[0077] The sources of the multiple MOSFET switches are connected to a power supply, and the drains are connected to power supply terminals of the multiple communication modules.

[0078] Furthermore, the communication activation unit 12 is configured to execute the following method:

[0079] The multiple communication modules are communication modes under multiple preset depth intervals, including LoRa communication module, NB-IoT communication module and optical fiber communication module.

[0080] Furthermore, the risk analysis unit 14 is configured to perform the following method:

[0081] The settlement monitoring processor includes a pre-trained settlement trend model, and 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; based on the settlement value change rate of the same settlement monitoring node at different times, the settlement difference gradient between each settlement monitoring node is calculated; when the settlement difference gradient is greater than the preset gradient threshold, the soil settlement risk warning signal is uploaded through the matching communication module of the abnormal settlement monitoring node.

[0082] It should be noted that the order in which the embodiments of the present application are presented is for illustrative purposes only and does not necessarily represent the superiority or inferiority of the embodiments. Furthermore, the foregoing descriptions of specific embodiments of this specification are provided. The processes depicted in the accompanying drawings do not necessarily require the specific order or sequential order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0083] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application shall be included in the scope of protection of the present application.

[0084] This specification and drawings are merely illustrative of the present application and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of this application. Obviously, those skilled in the art may make various modifications and variations to this application without departing from the scope of this application. Thus, this application is intended to include such modifications and variations as fall within the scope of this application and its equivalents.

Claims

1. A soil settlement monitoring method for deep foundation pit excavation, characterized in that: The method comprises: Identify the distribution of settlement monitoring nodes of foundation pit; Constructing an adaptive communication activation circuit, identifying a depth interval of each subsidence monitoring node in the subsidence monitoring node distribution, and activating a matching communication module corresponding to each subsidence monitoring node in the adaptive communication activation circuit according to the depth interval, wherein the adaptive communication activation circuit includes a plurality of communication modules; Establishing a communication transmission protocol between each settlement monitoring node and a 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.

2. The soil settlement monitoring method for deep foundation pit excavation according to claim 1, characterized in that: Constructing an adaptive communication activation circuit, the adaptive communication activation circuit including a resistor array encoder, an MCU controller, and a plurality of MOSFET switches; The resistor array encoder is connected to an input pin of the MCU controller, an 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.

3. The soil settlement monitoring method for deep foundation pit excavation according to claim 2, characterized in that: The method includes activating matching communication modules corresponding to respective settlement monitoring nodes in the adaptive communication activation circuit according to the depth interval, and comprising: The MCU controller reads the output voltage of each settlement monitoring node to perform depth interval judgment, and outputs a control signal for controlling the matching communication module corresponding to each settlement monitoring node, wherein the output voltage of each settlement monitoring node is identified by the resistor array encoder; The MOSFET switch controls the plurality of communication module power supply switches 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 voltage of each settlement monitoring node is identified by the resistor array encoder, and the method includes: Obtaining layout configuration data of each settlement monitoring node in the settlement monitoring node distribution; designing a resistor array encoder, and setting a different resistor array on a circuit board for each settlement monitoring node according to the layout configuration data based on the resistor array encoder; The resistor array encoder obtains an output voltage by identifying the resistor array.

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

6. The soil settlement monitoring method for deep foundation pit excavation according to claim 3, characterized in that: The MOS EFT 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; 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 MOSFET power supply to be turned on, and the non-high level signal is used to control the MOSFET power supply to be turned off.

7. The soil settlement monitoring method for deep foundation pit excavation according to claim 2, characterized in that: The sources of the multiple MOSFET switches are connected to a power supply, and the drains are connected to 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 modes under multiple preset depth intervals, including LoRa communication module, NB-IoT communication module and optical fiber communication module.

9. The soil settlement monitoring method 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 comprising: The settlement monitoring processor includes a pre-trained settlement trend model, and 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, the settlement difference gradient between each settlement monitoring node is calculated; When the settlement difference gradient is greater than a preset gradient threshold, the soil settlement risk warning signal is uploaded through the matching communication module of the abnormal settlement monitoring node.

10. Soil settlement monitoring system for deep foundation pit excavation, characterized by: A system for implementing the soil settlement monitoring method for deep foundation pit excavation according to any one of claims 1 to 9, comprising: Node distribution identification unit: identifies the settlement monitoring node distribution of the foundation pit; A communication activation unit is configured to construct an adaptive communication activation circuit, identify a depth interval of each subsidence monitoring node in the subsidence monitoring node distribution, and activate a matching communication module corresponding to each subsidence monitoring node in the adaptive communication activation circuit according to the depth interval, wherein the adaptive communication activation circuit includes a plurality of communication modules; Data receiving unit: establishes a communication transmission protocol between each settlement monitoring node and a matching communication module in the relay communication gateway, and receives a settlement monitoring distribution data set to a 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