Channel high slope deformation monitoring system and method

Abstract

The invention discloses a system and a method for monitoring deformation of a high slope of a channel. The system comprises array type displacement measurement units, a total factor meteorological station, a field acquisition station and a remote monitoring platform which are arranged on the slope. The method comprises the following steps: firstly, carrying out system baseline calibration, and determining a minimum judgment threshold value of displacement change of each displacement monitoring point; identifying effective change events through real-time data acquisition and local judgment; the remote platform performs spatial consistency, time continuity and meteorological linkage analysis on events based on a multi-level early warning upgrade chain rule, so as to intelligently trigger graded early warning from low to high; and finally, executing a corresponding disposal process according to the early warning level, and carrying out tampering-free evidence storage on the key event. The technical problems that the automation degree is low, the early warning false alarm rate is high, and closed-loop management is lacked in the prior art are solved, full-process automatic safety management of channel high slope deformation from accurate sensing and intelligent study and judgment to traceable closed-loop treatment is achieved, and the engineering safety level is improved.

Description

Technical Field

[0001] This invention relates to the field of high slope safety monitoring technology, and in particular to a waterway high slope deformation monitoring system and method. Background Technology

[0002] During the construction and operation of waterway engineering, tall waterway slopes are often formed, and their stability directly affects the safety of navigation and the safety of coastal infrastructure. Therefore, real-time and accurate deformation monitoring and early warning of high waterway slopes are crucial.

[0003] Existing high slope monitoring technologies have the following main shortcomings: First, the level of automation and real-time performance is low; it relies heavily on manual use of equipment such as total stations and inclinometers for regular inspections and measurements, which is not only inefficient and costly, but also unable to achieve continuous data collection around the clock, making it difficult to capture sudden deformations of slopes in severe weather or at night, resulting in a high risk of delayed early warning.

[0004] Second, the monitoring methods are limited and lack intelligent correlation analysis. Traditional monitoring systems often view displacement data in isolation and fail to conduct in-depth linkage analysis with key disaster-causing meteorological factors such as rainfall and temperature. This results in simple early warning models with a high false alarm rate, making it impossible to accurately identify the real risks of accelerated deformation induced by external factors such as continuous rainfall.

[0005] Third, the early warning logic is simple and lacks gradient and closed-loop management. Existing systems mostly adopt a single threshold mode of "exceeding the standard to trigger an alarm", which cannot distinguish the severity and development stage of the risk. At the same time, the verification, handling and feedback process of alarm information lacks systematic process recording and closed-loop management, resulting in insufficient targeting and traceability of emergency response after the early warning is issued, which makes it difficult to meet the refined requirements of modern engineering safety management.

[0006] Therefore, there is an urgent need in this field for a safety management system and method for high waterway slopes that can achieve automated monitoring, intelligent comprehensive analysis, hierarchical and precise early warning, and full-process traceability. Summary of the Invention

[0007] The purpose of this section is to outline some aspects of embodiments of the present invention and to briefly describe some preferred embodiments. Simplifications or omissions may be made in this section, as well as in the abstract and title of this application, to avoid obscuring the purpose of these documents; however, such simplifications or omissions should not be construed as limiting the scope of the invention.

[0008] Therefore, to solve the above-mentioned technical problems, the present invention provides the following technical solution: a channel high slope deformation monitoring system, comprising: An array-type displacement measurement unit is deployed at multiple key monitoring sections on the high slope of the waterway to measure deep displacement data of the soil. A full-element weather station is deployed near the slope to collect meteorological data on rainfall, temperature, humidity, and wind speed. The field data acquisition station is communicatively connected to the array-type displacement measurement unit and the all-element meteorological station, and is used to collect raw displacement and meteorological data and perform local preprocessing. The remote monitoring platform is connected to the field data acquisition station and is used to receive data, perform spatial-temporal consistency judgment and meteorological linkage analysis, and manage early warning levels and handling procedures.

[0009] In a preferred embodiment of the waterway high slope deformation monitoring system described in this invention, the field data acquisition station is configured as follows: During the initial operation of the system, baseline data is collected for each displacement monitoring point, and the minimum threshold for determining the displacement change of each displacement monitoring point is calculated based on the baseline data. In subsequent monitoring, the displacement increment of each displacement monitoring point is compared with the displacement change judgment threshold. When the displacement increment is greater than or equal to the threshold, it is determined that a valid change event has occurred at the displacement monitoring point.

[0010] As a preferred embodiment of the waterway high slope deformation monitoring system of the present invention, the remote monitoring platform is configured to implement a multi-level early warning escalation chain, which includes multiple early warning levels from low to high. The conditions for triggering the first warning level include: a single displacement monitoring point experiencing the effective change event, and / or its displacement rate exceeding a preset second threshold. The conditions for triggering the second warning level include: within a preset time window, at least two displacement monitoring points in the same monitoring section or adjacent area meet the triggering conditions of the first warning level.

[0011] As a preferred embodiment of the waterway high slope deformation monitoring system of the present invention, the remote monitoring platform is configured as follows: When the displacement monitoring data meets the criteria for triggering the second warning level, if the cumulative rainfall within the associated preset time window exceeds the rainfall threshold corresponding to the current warning level, the warning level will be upgraded to the higher third warning level.

[0012] As a preferred embodiment of the waterway high slope deformation monitoring system of the present invention, the system automatically generates an event package containing an event identifier, the triggering conditions of the warning level, relevant displacement data and a timestamp for any event that triggers the second warning level or above, and stores the event package in an immutable storage medium for evidence preservation.

[0013] As a preferred embodiment of the waterway high slope deformation monitoring system of the present invention, the system is further configured with a grade downgrading rule; The rule for downgrading the warning level requires that, for a warning level that has been triggered, the relevant displacement index must remain below the lower limit of the current level's trigger condition for at least three consecutive monitoring cycles, and if a manual inspection work order has been issued, the warning level can only be downgraded after manual verification and confirmation.

[0014] A method for monitoring the deformation of high channel slopes, used to implement a high channel slope deformation monitoring system as described above, includes the following steps: Data acquisition: Slope displacement and meteorological data are continuously collected through array-type displacement measurement units and full-element meteorological stations; Local assessment: The displacement data is preliminarily processed by the on-site acquisition station to determine whether a valid change event has occurred at a single displacement monitoring point; Comprehensive analysis and early warning: The spatial consistency and temporal continuity of the reported displacement monitoring point change information are analyzed through the remote monitoring platform, and linked judgment is made in conjunction with meteorological data. The corresponding early warning level is determined and triggered according to preset rules. Handling and Evidence Preservation: Execute the corresponding handling procedures according to the triggered warning level, and preserve the key events and related operations in an tamper-proof manner.

[0015] As a preferred embodiment of the waterway high slope deformation monitoring method of the present invention, the method further includes a system initialization and baseline calibration step before the data acquisition step. During the preset baseline acquisition period, initial data for each displacement monitoring point are collected; Based on the initial data, the baseline parameters and minimum threshold for displacement change of each displacement monitoring point are calculated as a benchmark for subsequent real-time judgment.

[0016] As a preferred embodiment of the waterway high slope deformation monitoring method of the present invention, the calculation steps for the baseline parameters and minimum judgment threshold of displacement change of each displacement monitoring point are as follows: For each displacement monitoring point, calculate the average value and standard deviation of all displacement data within the baseline acquisition period; The standard deviation of three times is compared with the preset minimum identifiable displacement value for the project, and the larger of the two values ​​is taken as the minimum threshold for determining the displacement change of the displacement monitoring point.

[0017] As a preferred embodiment of the method for monitoring the deformation of high slopes in waterways according to the present invention, the baseline acquisition period is set to be no less than seven days; the preset minimum identifiable displacement value for the project is 0.5 mm.

[0018] The beneficial effects of this invention are: 1. This invention achieves unmanned, real-time, and high-precision monitoring; by deploying an array-type displacement measurement unit and a sensor network consisting of all-element meteorological stations, and combining on-site data acquisition stations with a remote monitoring platform, it realizes uninterrupted automatic data acquisition and transmission, eliminating the dependence on manual measurement.

[0019] 2. This invention constructs an intelligent "space-time-meteorological" multi-dimensional early warning and judgment system, establishes a multi-level early warning upgrade chain, and significantly reduces the false alarm rate. The system organically integrates single-point effective change events, neighborhood spatial consistency judgment, time persistence constraints and meteorological linkage rules through a set of interlocking rule engines.

[0020] 3. This invention establishes a new paradigm for safety management with tiered response and closed-loop handling; it divides early warnings into multiple levels, from "Level 1 Early Warning" to "Level 3 Early Warning," achieving quantitative risk grading. This not only enables managers to clearly grasp the risk situation but also triggers differentiated handling processes (such as automatic encrypted monitoring, work order dispatch, and flight restriction recommendations). Combined with manual inspection and verification and level downgrade rules, a complete management closed loop of "automatic judgment - manual review - handling feedback - system downgrade" is formed, ensuring that every early warning can be effectively tracked and handled, improving the efficiency and standardization of safety management. Attached Figure Description

[0021] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. Wherein: Figure 1 This is a system architecture diagram of the present invention.

[0022] Figure 2 This is a flowchart of the method of the present invention. Detailed Implementation

[0023] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0024] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0025] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it a single or selective embodiment that is mutually exclusive with other embodiments.

[0026] Example 1 Reference Figure 1 The first embodiment of the present invention provides a channel high slope deformation monitoring system. The system adopts a distributed architecture and mainly consists of a sensing layer, a data acquisition and transmission layer and an application layer.

[0027] The sensing layer is responsible for sensing the raw data, and its core consists of an array-type displacement measurement unit and a comprehensive meteorological station. The array-type displacement measurement unit uses multiple flexible inclinometer probes connected in series. After drilling, these probes are vertically embedded within the depth range of the slip zone or potential sliding surface at multiple key monitoring sections of the high slope of the waterway. This allows for precise measurement of the inclination angle of the soil at different depths, and the deep horizontal displacement is calculated through integration. The comprehensive meteorological station is located in an open, unobstructed area near the slope and integrates a tipping bucket rain gauge, temperature and humidity sensors, and wind speed and direction sensors. It continuously collects key meteorological parameters affecting slope stability, such as rainfall, temperature, humidity, and wind speed.

[0028] The core equipment of the data acquisition and transmission layer is the field acquisition station, with one station deployed in each typical slope area. This station contains an industrial-grade microprocessor, a data acquisition module, a large-capacity local storage unit, a 4G / 5G or Ethernet communication module, and a power supply system consisting of a solar-powered charging controller and a battery. The field acquisition station is connected to each measuring point of the array-type displacement measurement unit via a waterproof bus cable and to the all-element meteorological station via a digital interface or low-power wireless module.

[0029] The field acquisition station can collect raw data from all sensors at preset frequencies; perform preliminary calculations on the displacement data to obtain displacement increments and rates; and execute local judgment logic, such as comparing the displacement increment with the pre-stored minimum judgment threshold for displacement changes to determine whether a valid change event has occurred.

[0030] The application layer is manifested as a remote monitoring platform deployed in a cloud server or monitoring center. It is a software system that integrates data management, rule engine, early warning center, visualization dashboard, and work order management functions. The field acquisition stations upload pre-processed data and event summaries to the platform via a wireless network. Based on pre-set multi-level early warning escalation chain rules, the platform performs complex intelligent analysis, including: spatial consistency analysis of multiple adjacent measuring points, meteorological linkage analysis combined with meteorological data (such as 24-hour cumulative rainfall), and automatically triggering or escalating the early warning level (such as escalating from the first early warning level to the second early warning level, and from the second early warning level to the third early warning level) according to the analysis results. It also automatically generates event packages and stores them in an immutable storage medium. At the same time, the platform is also responsible for automatically sending alarm information to relevant personnel, dispatching inspection work orders, and tracking the closed-loop handling when an early warning is triggered.

[0031] This system architecture achieves full-process automation and intelligence from data perception and edge intelligent judgment to cloud-based decision-making and handling, providing a solid technical guarantee for the safety of high slopes.

[0032] Example 2 Reference Figure 2 This is the second embodiment of the present invention, which differs from the first embodiment in that it provides an implementation flow of a method for monitoring the deformation of high waterway slopes. The specific steps of the method are as follows: Step 201: System initialization and baseline calibration; After the system is installed and debugged on-site, it will enter a baseline acquisition period of no less than seven days. During this period, the system will continuously collect data from all displacement monitoring points at a regular monitoring frequency (e.g., once every 2 hours) without making any early warning judgments. After the acquisition period, the remote monitoring platform or the on-site acquisition station will perform statistical analysis on the initial displacement data sequence of each displacement monitoring point. First, calculate the average value of its displacement ( ) and standard deviation ( ); Then, according to the formula: To calculate the displacement monitoring point ; The calculated threshold is distributed and stored in the field data acquisition station as an objective and quantitative benchmark for subsequent real-time judgment.

[0033] It should be noted that in the above formula, " "It is a noise band based on statistical principles, covering 99.7% of the data fluctuation range; "0.5 mm" is the minimum identifiable displacement value in engineering, taking into account sensor resolution and engineering recognizability.

[0034] Through the above system initialization and baseline calibration steps, a minimum judgment threshold for displacement change based on the actual noise level on site is set for each displacement monitoring point. This enables the system to keenly capture effective change events that exceed the background noise, significantly improving the accuracy and reliability of early identification.

[0035] Step 202: Routine data collection and local judgment (determination of valid change events); The system enters routine monitoring; the field data acquisition station collects displacement data at a set frequency and calculates the displacement increment of this sampling in real time. () and instantaneous rate (v), where instantaneous rate represents the change in displacement per unit time; Next, the displacement increment ( The value is compared with the minimum threshold for determining displacement change pre-stored at the displacement monitoring point: like If a valid change event occurs at the displacement monitoring point, the data acquisition station generates triggering conditions containing an event identifier and an early warning level (e.g., ...). ), and related displacement data (including displacement increments ( Event packets containing instantaneous rate (v) and timestamps are immediately reported to the remote monitoring platform.

[0036] Step 203: Comprehensive Analysis and Early Warning Trigger (Multi-level Early Warning Elevation Chain); After receiving the event packet generated in step S202, the remote monitoring platform initiates a multi-level early warning escalation chain: First warning level trigger: If the platform detects a valid change event at a single point, or if the instantaneous rate (v) exceeds the preset second threshold (e.g., 1.0 mm / h), the first warning level (attention level) will be triggered, and the site will be instructed to appropriately encrypt the sampling. Second warning level trigger: Within a preset time window (e.g., 6 hours), the platform checks whether at least two displacement monitoring points in the same section or adjacent area have triggered the first warning level; if so, it is determined to be a spatial consistency event, and the warning level is upgraded to the second warning level (alarm level). Third warning level trigger (meteorological linkage): When the triggering conditions of the second warning level are met, the platform will check the associated meteorological data, such as the 24-hour cumulative rainfall (R24); if R24 exceeds the corresponding threshold (such as 30 mm), the warning level will be upgraded to the third warning level (severe alert level).

[0037] In this step, a higher-level alarm (upgraded to the third warning level) will only be triggered when multiple measuring points change collaboratively within a specific time window (triggering the second warning level) and are correlated with meteorological thresholds such as cumulative rainfall. This multi-dimensional cross-validation mechanism effectively filters out instantaneous noise or localized accidental interference from the equipment, making the warning decision more scientific and reliable, and achieving a qualitative leap from "blind alarm" to "precise warning".

[0038] Step 204: Disposal and evidence preservation; Work order dispatch and manual closed loop: When the warning level reaches the second warning level or above, the platform automatically generates a manual inspection work order and dispatches it to the on-site maintenance personnel via App or SMS; after on-site verification, the maintenance personnel send the verification results (including photos and text descriptions) back to the platform; the platform makes the final confirmation of the warning level based on the manual feedback, forming a closed loop for handling. Unalterable evidence storage: For all warning events at the second warning level and above, the platform generates a structured event package at the moment of triggering, which includes the event ID, all relevant data, triggering rules, timestamps, etc., and uses digital signature technology to store it in an unalterable storage medium to ensure the legal validity of the data; Level downgrade: For an already raised warning level, downgrading must meet strict conditions: For a warning level that has been triggered, the relevant displacement indicators must be continuously lower than the lower limit of the current level trigger condition for three or more consecutive monitoring cycles, and if a manual inspection work order has been issued, it must be manually reviewed and confirmed before the warning level can be downgraded.

[0039] This step ensures the legal evidentiary value and full traceability of the monitoring data. By introducing an event package mechanism and tamper-proof storage technology, data records with timestamps and complete contextual information that cannot be tampered with are generated for all key early warning events (especially the second early warning level and above) and their handling processes. This provides a strong original chain of evidence for subsequent liability determination, insurance claims and project acceptance, greatly enhancing the credibility of the system and its engineering application value.

[0040] This embodiment realizes a fully traceable safety management process from data collection, intelligent analysis, early warning decision-making to handling feedback, which significantly improves the safety control capability for high slope deformation monitoring.

[0041] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A waterway high slope deformation monitoring system, characterized in that, The system comprises: an array displacement measurement unit arranged at multiple key monitoring sections of a high slope of a waterway for measuring deep displacement data of the soil body; a full-element weather station arranged near the slope for collecting rainfall, temperature, humidity, and wind speed weather data; a field collection station in communication connection with the array displacement measurement unit and the full-element weather station for collecting displacement and weather raw data and performing local preprocessing; a remote monitoring platform in communication connection with the field collection station for receiving data, performing spatial and temporal consistency judgment and weather linkage analysis, managing warning levels and disposal processes.

2. The channel high slope deformation monitoring system according to claim 1, characterized in that: The field collection station is configured to: collect baseline data for each displacement monitoring point when the system is initially operated, and calculate a minimum judgment threshold of displacement change for each displacement monitoring point based on the baseline data; in subsequent monitoring, compare the displacement increment of each displacement monitoring point with the displacement change judgment threshold, and determine that the displacement monitoring point has an effective change event when the displacement increment is greater than or equal to the threshold.

3. The channel high slope deformation monitoring system according to claim 2, characterized in that: The remote monitoring platform is configured to implement a multi-level warning upgrade chain, which comprises multiple warning levels from low to high; wherein the conditions for triggering the first warning level include that a single displacement monitoring point has the effective change event and / or its displacement rate exceeds a preset second threshold; the conditions for triggering the second warning level include that, within a preset time window, at least two displacement monitoring points in the same monitoring section or neighborhood reach the triggering conditions of the first warning level.

4. The channel high slope deformation monitoring system according to claim 3, characterized in that: The remote monitoring platform is configured to: when the displacement monitoring data meet the conditions for triggering the second warning level, if the cumulative rainfall in the associated preset time window exceeds the rainfall threshold corresponding to the current warning level, the warning level is upgraded to a higher third warning level.

5. The channel high slope deformation monitoring system according to claim 4, characterized in that: For any event triggering the second warning level and above, the system automatically generates an event package containing the event identification, the triggering conditions of the warning level, the relevant displacement data, and the timestamp, and stores the event package in a tamper-proof storage medium for evidence preservation.

6. The channel high slope deformation monitoring system according to claim 5, characterized in that: The system is also configured with a level downgrade rule; The level downgrade rule requires that, for the triggered warning level, the relevant displacement indicators need to be continuously lower than the lower limit of the current level triggering condition for at least 3 consecutive monitoring periods, and if a manual inspection work order has been issued, the warning level can be lowered only after manual review and confirmation.

7. A method for monitoring deformation of a high slope of a waterway, used for executing the waterway high slope deformation monitoring system of any one of claims 1-6, characterized in that, The system comprises the following steps: data collection: continuously collecting slope displacement and weather data through the array displacement measurement unit and the full-element weather station; local judgment: preliminarily processing the displacement data through the field collection station to determine whether an effective change event occurs in a single displacement monitoring point; comprehensive analysis and warning: performing spatial consistency and temporal persistence analysis on the reported displacement monitoring point change information through the remote monitoring platform, and making linkage judgment combined with the weather data, and determining and triggering the corresponding warning level according to the preset rules; disposal and evidence preservation: performing the corresponding disposal process according to the triggered warning level, and preserving the key events and related operations in a tamper-proof manner.

8. The method for monitoring deformation of a high slope of a channel according to claim 7, characterized in that: Before the data collection step, the system initialization and baseline calibration step is also included: In a preset baseline acquisition period, initial data of each displacement monitoring point is acquired; Baseline parameters of each displacement monitoring point and minimum determination threshold of displacement change are calculated based on the initial data, serving as a reference for subsequent real-time judgment.

9. The method for monitoring deformation of a high slope of a channel according to claim 8, characterized in that: The calculation of baseline parameters of each displacement monitoring point and minimum determination threshold of displacement change is as follows: For each displacement monitoring point, the average value and standard deviation of all displacement data in the baseline acquisition period are calculated; The larger value between three times the standard deviation and a preset minimum identifiable displacement value of the project is taken as the minimum determination threshold of displacement change of the displacement monitoring point.

10. The method for monitoring deformation of a high slope of a channel according to claim 9, characterized in that: The baseline acquisition period is set to be no less than seven days; and the preset minimum identifiable displacement value of the project is 0.5 mm.

Images