Slope fluid stabilization intelligent monitoring and early warning system and method based on multi-field coupling

Abstract

The invention discloses a slope fluid stabilization intelligent monitoring and early warning system and method based on multi-field coupling. The system comprises a multi-field sensor, a composite sensing optical cable, a main server and a cloud computing platform. According to the method, a multi-field sensor is preset, data collected by the multi-field sensor is guided to a cloud computing platform by a main server, prediction model calculation is performed by a data processing module of the cloud computing platform, so that a slope fluid flow coefficient is obtained, and weight parameters in a model are self-optimized; therefore, the self-optimization of the whole model is realized, and the three-dimensional monitoring of the side slope is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of multi-intelligent monitoring, and specifically to an intelligent monitoring and early warning system and method for slope fluid stability based on multi-field coupling. Background Art

[0002] In existing projects, a slope is a common building structure. Through the piling up of earth and stone, a relatively regular edge structure is formed. However, this structure is prone to flow slide accidents, which will then affect the bottom of the slope or cause disasters. There are many influencing factors for the fluid slide of the slope, and the main ones occur when the fluid is in a relatively humid environment or under large vibrations, which are the main influencing factors. Therefore, it is necessary to conduct effective dynamic monitoring on the slope to reduce the disaster impact caused by the fluid slide of the slope. Summary of the Invention

[0003] The purpose of the present invention is to provide an intelligent monitoring and early warning system and method for slope fluid stability based on multi-field coupling to solve the problems raised in the above background art.

[0004] To achieve the above purpose, the present invention provides the following technical solution: An intelligent monitoring and early warning system for slope fluid stability based on multi-field coupling, including multi-field sensors, a composite sensing optical cable, a main server, and a cloud computing platform;

[0005] The multi-field sensors include vibration sensors, displacement sensors, humidity sensors, and tilt sensors;

[0006] The composite sensing optical cable is connected to the multi-field sensors and the main server;

[0007] The main server includes a wired communication module, a ground wireless communication module, and a satellite communication module;

[0008] The cloud computing platform includes a data processing module, a data storage module, and an early warning response module. The data processing module and the data storage module receive data from the main server, process the data, and input it into a multi-field data fusion algorithm for data analysis and identification. The early warning response module publishes early warning information through a preset channel based on the analysis and identification results of the data.

[0009] Preferably, the vibration sensor monitors the vibration frequency f v of the slope structure and captures vibration changes caused by geological activities, vehicle traffic, and potential disasters.

[0010] Preferably, the displacement sensor is placed at the top edge of the slope to monitor the motion state a v of the top of the slope and reflects the relative motion changes of the top of the slope.

[0011] Preferably, the humidity sensor monitors the relative humidity RH of the matrix of the slope and detects the humidity change of the slope.

[0012] Preferably, the tilt sensor monitors the tilt angle D of the slope and detects structural deformation or matrix settlement.

[0013] A monitoring method for a slope fluid stabilization intelligent monitoring and warning system based on multi-field coupling includes the following steps:

[0014] Step 1: Install multi-field sensors at the required points, that is, install the vibration sensor and the tilt sensor on the slope surface of the slope, install the displacement sensor near the edge at the top of the slope, and install the humidity sensor in the fluid matrix of the slope;

[0015] Step 2: Connect the multi-field sensors and the main server with a composite sensing optical cable, and the composite sensing optical cable also serves as an additional sensor;

[0016] Step 3: The data collection of the main server is transmitted based on the composite sensing optical cable. The data transmission between the main server and the cloud computing platform preferably uses a 4G / 5G system. When the 4G / 5G system cannot transmit, the data is transmitted via satellite;

[0017] Step 4: After the cloud computing platform receives the data, it performs filtering, noise elimination, and outlier rejection on the data;

[0018] Step 5: Perform multi-field data fusion on the processed data, integrate parameters through the following formula, and generate a sliding index of the slope fluid:

[0019]

[0020] where α, β, γ, δ, θ, ε, μ are different weight coefficients;

[0021] Step 6: Based on the formula in Step 5, use the hybrid genetic algorithm to perform multi-field data fusion to obtain a reference result value;

[0022] Step 7: Compare the reference result value obtained in Step 6 with the set threshold. When the threshold is exceeded, the warning response module releases information through a preset channel.

[0023] Preferably, when the obtained reference result value does not exceed the preset threshold in Step 7, the fluid change data of the slope is automatically saved and analyzed again, so as to readjust the α, β, γ, δ, θ, ε, μ weight coefficients in the formula of Step 5, and then optimize the overall calculation and monitoring model.

[0024] The beneficial effects of the slope fluid stabilization intelligent monitoring and warning system and method based on multi-field coupling proposed by the present invention are as follows:

[0025] By monitoring the state and relative movement of the top position of the slope, the vibration of the environment where the slope is located and the local vibration of the slope, the humidity of the flowing matrix of the slope, and the inclination state of the slope, the current state of the slope can be effectively monitored. When the obtained parameters change, the weight parameters in the calculation formula of the monitoring model are optimized to continuously optimize the monitoring model. Brief Description of the Drawings

[0026] Figure 1 It is a flowchart of the present invention. Detailed Embodiment

[0027] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0028] Please refer to Figure 1 , the present invention provides a technical solution: a slope fluid stability intelligent monitoring and early warning system based on multi-field coupling, characterized in that it includes multi-field sensors, composite sensing optical cables, a main server and a cloud computing platform;

[0029] The multi-field sensors include vibration sensors, displacement sensors, humidity sensors, and inclination sensors;

[0030] The composite sensing optical cable is connected to the multi-field sensors and the main server;

[0031] The main server includes a wired communication module, a ground wireless communication module, and a satellite communication module;

[0032] The cloud computing platform includes a data processing module, a data storage module, and an early warning response module. The data processing module and the data storage module receive the data from the main server, process the data, and input it into a multi-field data fusion algorithm for data analysis and identification. The early warning response module publishes early warning information through a preset channel based on the analysis and identification results of the data.

[0033] Specifically, the vibration sensor monitors the vibration frequency f of the slope structure v , and captures the vibration changes caused by geological activities, vehicle traffic, and potential disasters.

[0034] Specifically, the displacement sensor is placed at the top edge of the slope to monitor the movement state a of the slope top v , and reflects the relative movement changes of the slope top.

[0035] Specifically, the humidity sensor monitors the relative humidity RH of the matrix of the slope and detects the humidity change of the slope.

[0036] Specifically, the tilt sensor monitors the tilt angle D of the slope and detects structural deformation or matrix settlement.

[0037] The monitoring method of the intelligent monitoring and early warning system for slope fluid stability based on multi-field coupling includes the following steps:

[0038] Step 1: Burry multi-field sensors at the required positions, that is, bury the vibration sensor and the tilt sensor on the slope surface of the slope, bury the displacement sensor near the edge at the top of the slope, and bury the humidity sensor in the fluid matrix of the slope;

[0039] Step 2: The composite sensing optical cable connects the multi-field sensors and the main server, and at the same time, the composite sensing optical cable also serves as an additional sensor;

[0040] Step 3: The data collection of the main server is transmitted based on the composite sensing optical cable. The data transmission between the main server and the cloud computing platform preferably uses the 4G / 5G system. When the 4G / 5G system cannot be used for transmission, data is transmitted via satellite;

[0041] Step 4: After the cloud computing platform receives the data, it performs filtering processing, noise elimination, and outlier rejection on the data;

[0042] Step 5: Perform multi-field data fusion on the processed data, integrate parameters through the following formula, and generate the sliding index of the slope fluid:

[0043]

[0044] where α, β, γ, δ, θ, ε, μ are different weight coefficients;

[0045] Step 6: Based on the formula in Step 5, use the hybrid genetic algorithm to perform multi-field data fusion to obtain the reference result value;

[0046] Step 7: Compare the reference result value obtained in Step 6 with the set threshold. When the threshold is exceeded, the early warning response module releases information through the preset channels.

[0047] Specifically, when the obtained reference result value does not exceed the preset threshold in Step 7, the fluid change data of the slope is automatically saved and analyzed again, so as to readjust the weight coefficients α, β, γ, δ, θ, ε, μ in the formula in Step 5, and then optimize the overall calculation and monitoring model.

[0048] Although embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent monitoring and early warning system for slope fluid-induced stability based on multi-field coupling, characterized in that: It includes multiple-field sensors, a composite sensing optical cable, a main server, and a cloud computing platform; The multiple-field sensors include vibration sensors, displacement sensors, humidity sensors, and tilt sensors; The composite sensing optical cable is connected to the multiple-field sensors and the main server; The main server includes a wired communication module, a ground wireless communication module, and a satellite communication module; The cloud computing platform includes a data processing module, a data storage module, and an early warning response module. The data processing module and the data storage module receive data from the main server, process the data, and input it into a multi-field data fusion algorithm for data analysis and identification. The early warning response module issues early warning information through a preset channel based on the analysis and identification results of the data.

2. The intelligent monitoring and early warning system for slope fluid stability based on multi-field coupling according to claim 1, characterized in that: The vibration sensor monitors the vibration frequency f of the slope structure v , and captures vibration changes caused by geological activities, vehicle passage, and potential disasters.

3. The intelligent monitoring and early warning system for slope fluid stability based on multi-field coupling according to claim 1, characterized in that: The displacement sensor is placed at the top edge of the slope to monitor the motion state a of the slope top. v , and reflects the relative motion changes of the slope top.

4. The intelligent monitoring and early warning system for slope fluid stability based on multi-field coupling according to claim 1, characterized in that: The humidity sensor monitors the relative humidity RH of the slope matrix and detects the humidity change of the slope.

5. The intelligent monitoring and early warning system for slope fluid stability based on multi-field coupling according to claim 1, characterized in that: The tilt sensor monitors the tilt angle D of the slope and detects structural deformation or matrix settlement.

6. The monitoring method of the intelligent monitoring and early warning system for slope fluid-induced stability based on multi-field coupling is characterized in that, It includes the following steps: Step 1: Bury the multiple-field sensors at the required points, that is, the vibration sensors and tilt sensors are buried on the slope surface of the slope, the displacement sensor is buried near the edge of the slope top, and the humidity sensor is buried in the fluid matrix of the slope; Step 2: The composite sensing optical cable connects the multiple-field sensors and the main server, and at the same time, the composite sensing optical cable also serves as an additional sensor; Step 3: The data collection of the main server is transmitted based on the composite sensing optical cable. The data transmission between the main server and the cloud computing platform preferably uses the 4G / 5G system. When the 4G / 5G system cannot transmit, the data is transmitted through the satellite; Step 4: After the cloud computing platform receives the data, it performs filtering processing, noise elimination, and outlier rejection on the data; Step 5: The processed data undergoes multi-field data fusion, and the parameters are integrated through the following formula to generate the sliding index of the slope fluid: where α, β, γ, δ, θ, ε, μ are different weight coefficients; Step 6: Based on the formula in Step 5, use the hybrid genetic algorithm to perform multi-field data fusion to obtain the reference result value; Step 7: Compare the reference result value obtained in Step 6 with the set threshold. When it exceeds the threshold, the early warning response module issues information through a preset channel.

7. The monitoring method of the intelligent monitoring and early warning system for slope fluid-induced stability based on multi-field coupling according to claim 6, characterized in that: In Step 7, when the obtained reference result value does not exceed the preset threshold, the fluid change data of the slope is automatically saved and analyzed again, so as to adjust the weight coefficients α, β, γ, δ, θ, ε, μ in the formula in Step 5 again, and then optimize the overall calculation and monitoring model.

Images