Intelligent monitoring system and method for rapid blocking of dike breach

Abstract

The invention relates to the technical field of water conservancy monitoring, particularly provides an intelligent monitoring system and method for rapid blocking of an embankment breach, and solves the defects that the prior art depends on artificial experience and lacks accurate sensing and automatic disposal capabilities. Comprising the steps that a ship anchor system pulls a composite isolation structure at the upstream of a breach to achieve underwater fan-shaped unfolding and bottom laying, a physical barrier covering the breach is formed, the bottom laying state of the waterproof cloth is judged in real time through fusion analysis of vacuum monitoring, sonar scanning and edge evaluation, and an emergency device is linked for intelligent reinforcement. According to the method, the whole-process intelligent monitoring and closed-loop control of the dike breach plugging process are realized, the response speed, the monitoring precision and the operation reliability of breach plugging are improved, and the problems that a traditional method depends on artificial experience, the number of monitoring blind areas is large, and disposal is lagged are effectively solved; scientific, efficient and intelligent technical support is provided for dike emergency rescue.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of water conservancy monitoring, and in particular to a dike breach rapid plugging intelligent monitoring system and method. BACKGROUND

[0002] With the continuous advancement of water conservancy infrastructure construction in China, the flood control and disaster reduction system is increasingly improved. As an important barrier to protect people's life and property safety and the stable development of economy and society, the safety operation and emergency disposal capacity of dike engineering have attracted widespread attention. Especially under the background of increasing extreme weather, heavy rainfall and flood events, the rapid response and effective plugging of major dangerous situations such as dike breach become the key link of flood control and rescue. In recent years, the deep integration of intelligent and information technology in the field of water conservancy has promoted the transformation and upgrading of traditional water conservancy to smart water conservancy, providing a new technical path for dike emergency rescue. Under this background, how to realize real-time perception, intelligent judgment and rapid linkage in the process of plugging the breach has become an important direction to improve the emergency response capacity of flood control.

[0003] Prior art one, Chinese patent, application number: 202411193462X discloses a self-adaptive adjusting water conservancy gate system, relating to the field of water conservancy, solves the problem that the water conservancy gate cannot actively adapt to the actual use demand, including regional division module, data acquisition module, feature analysis module, parameter monitoring module, parameter analysis module, configuration terminal, control terminal and server, the regional division module is used for delimiting water conservancy control area, the data acquisition module is used for obtaining the area characteristic information of water conservancy control area, the feature analysis module comprehensively analyzes the water body characteristics of water conservancy control area, the configuration terminal is used for formulating sensor configuration scheme, the parameter monitoring module is used for obtaining the real-time gate information of water conservancy control area, the parameter analysis module is used for analyzing the operation environment of water conservancy gate in water conservancy control area, the control terminal is used for the intervention of the adjusting performance of water conservancy gate, the present application realizes the self-adaptive adjustment of water conservancy gate based on environmental data.

[0004] The prior art two, Chinese patent, application number: 2022112122339 discloses a kind of water conservancy sensing system based on 5G edge computing, it includes: sensing acquisition module, for the sensing sensor data of each water conservancy monitoring point is collected;Edge computing module, for the sensing sensor data collected by sensing acquisition module is calculated and processed;Cloud computing service module, for building cloud computing service platform, receive the water conservancy sensing data processing report uploaded by edge computing module and store, and periodically analyze the received water conservancy sensing data processing report, to generate or update business decision;Load judging module, for real-time monitoring the running load of each edge computing unit, and when the running load rate of edge computing unit is over standard, select part of data to be transported to cloud computing service module for calculation processing.This application can effectively improve the running stability and service life of water conservancy sensing system.

[0005] The prior art three, Chinese patent, application number: 2025107444158 discloses a multi-source sensing water quality monitoring and diagnosis system and method based on cloud-edge collaboration;The system includes a water quality data acquisition module, a regional data acquisition module, a comprehensive water feature generation module, a water quality prediction reference value generation module, an alarm decision module, an automatic firmware upgrade module and a user interaction display module, acquires a water quality data set, acquires a regional data set, pre-processes the water quality data set and the regional data set to obtain a comprehensive water feature data set, analyzes the comprehensive water feature data set to obtain a water quality prediction reference value, analyzes the water quality prediction reference value to obtain an alarm decision report, processes abnormal signals, and selects whether to trigger firmware upgrade based on the processing result. Overall, the present application has the significant advantages of strong water body prediction processing adaptability, large auxiliary decision-making effect and good edge-cloud collaborative equipment processing effect.

[0006] The existing technology one, the existing technology two and the existing technology three focus on hydrological parameter early warning, equipment health management or macro-environment sensing under normal working conditions, lack of fine and intelligent monitoring capability of structure physical state in sudden dike breach plugging process;The existing system cannot integrate multi-source heterogeneous sensing devices for waterproof cloth sticking bottom integrity, film leakage development and plugging body stress state, cannot realize fusion analysis of vacuum negative pressure, sonar imaging and contact pressure data, does not establish a dynamic evaluation model for real-time state of plugging structure, and lacks a closed-loop response mechanism for automatically triggering underwater robots or throwing devices for targeted reinforcement based on state evaluation results, resulting in that the entire plugging process still relies on artificial experience judgment, and it is difficult to achieve the goal of integrated emergency rescue of rapid deployment, strict isolation, intelligent sensing and accurate disposal. Therefore, the present application provides a dike breach rapid plugging intelligent monitoring system and method. SUMMARY

[0007] To achieve the above object, the present application adopts the following technical scheme:

[0008] According to one aspect of the present application, a dike breach rapid plugging intelligent monitoring system is provided, which comprises a ship anchor system for deploying a composite isolation structure in a gentle water flow area upstream of the breach, completing underwater fan deployment, and controlling water head by using a traction rope.

[0009] An integrated intelligent monitoring system is constructed, which comprises a distributed vacuum monitoring module arranged at the bottom of the waterproof cloth, a leakage sensing sensor array module, a multi-source data fusion intelligent evaluation module, and an emergency linkage response module.

[0010] The distributed vacuum monitoring module comprises:

[0011] A vacuum negative pressure monitoring unit is used to integrate the distributed vacuum monitoring module at the bottom of the waterproof cloth, and vacuum sensor nodes are arranged in a grid layout along the laying direction of the waterproof cloth to determine whether the waterproof cloth is attached to the water bottom or has a leak.

[0012] The leakage sensing sensor array module comprises:

[0013] An underwater sonar scanning unit is deployed upstream and downstream to monitor water flow penetration signals.

[0014] The multi-source data fusion intelligent evaluation module comprises:

[0015] An edge dynamic evaluation unit is used to receive multi-source data from the vacuum negative pressure monitoring unit and the water flow penetration signal monitoring unit.

[0016] The emergency linkage response module comprises:

[0017] An intelligent evaluation linkage unit is used to monitor the rapid plugging condition of the dike breach.

[0018] As a preferred scheme of the present application, the ship anchor system comprises an anchor fixing position module, a composite structure deployment module, a water head control bottom attachment guarantee module, and a cooperative control module.

[0019] The anchor fixing position module comprises a ship anchor, an anchor pile, and an anchor chain.

[0020] The composite structure deployment module comprises a waterproof cloth roll-out mechanism, a guide pulley set, and a traction rope.

[0021] The water head control bottom attachment guarantee module comprises a heavy drop chain, a vacuum filter pipe interface, and a deployment monitoring unit.

[0022] The cooperative control module comprises an integrated GPS positioning system, an underwater camera, and a tension sensor.

[0023] As a preferred scheme of the present application, wherein: the vacuum negative pressure monitoring unit comprises a sensor arrangement subunit, a pressure collection subunit, a data convergence subunit, and a signal transmission subunit;

[0024] The sensor arrangement subunit is used to arrange the vacuum sensor nodes in a fan-shaped grid along the laying direction of the tarpaulin bottom, and each node position corresponds to the interface of the vacuum filter tube one by one.

[0025] The pressure collection subunit is used to use the built-in pressure sensing chip and water permeable filter membrane of the vacuum sensor node, block the silt from entering while allowing the gas pressure to conduct through the filter membrane, periodically collect the membrane under pressure value of the area by the sensing chip, and convert the analog signal into a digital signal.

[0026] The data convergence subunit is used to connect the vacuum sensor nodes to the central data collector in a bus manner through waterproof shielding cables, and the central data collector polls the node data in time, completes time synchronization and data packaging, and forms a membrane under negative pressure data sequence with a position label.

[0027] The transmission subunit is used to send the packaged negative pressure data sequence to the shore-based monitoring server in real time through wireless communication on the central data collector.

[0028] As a preferred scheme of the present application, wherein: the underwater sonar scanning unit deployed upstream and downstream comprises a sonar arrangement subunit and a three-dimensional imaging subunit.

[0029] The sonar arrangement subunit is used to deploy low-frequency multi-beam underwater sonar equipment at preset positions of the riverbed in the upstream gentle area and the downstream scouring area of the breach, and the scanning range covers the bottom and the edge transition zone of the tarpaulin laying area to monitor the contact interface between the tarpaulin and the riverbed.

[0030] The three-dimensional imaging subunit is used to receive the echo signal based on the sound waves emitted by the low-frequency multi-beam underwater sonar equipment, analyze the water flow characteristics based on the change of the echo signal, and identify whether there is local scouring or seepage channel caused by water flow penetration.

[0031] As a preferred scheme of the present application, wherein: the edge dynamic evaluation unit comprises a data fusion subunit and a state evaluation subunit.

[0032] The data fusion subunit comprises membrane under pressure sequence data from the vacuum negative pressure monitoring unit and flow field analysis data from the underwater sonar scanning unit, and performs timestamp alignment and spatial coordinate mapping on monitoring signals of different sources and different sampling frequencies to form a multi-source data set under a unified space-time reference.

[0033] The state evaluation subunit comprises time stamp alignment and space coordinate mapping of monitoring signals of different sources and different sampling frequencies, forming a multi-source data set under a unified space-time reference, and performing state evaluation;

[0034] The intelligent evaluation linkage unit comprises a risk judgment subunit and an instruction triggering subunit;

[0035] The risk judgment subunit is used for judging abnormal event alarm information of receiving embankment breach rapid plugging;

[0036] The instruction triggering subunit is used for automatically generating a response instruction according to the risk judgment result, and synchronously uploading the alarm information and the linkage state to a rescue command platform.

[0037] According to another aspect of the present application, an embankment breach rapid plugging intelligent monitoring method is provided, based on the above-mentioned embankment breach rapid plugging intelligent monitoring system, characterized in that it comprises,

[0038] The composite isolation structure comprises a waterproof cloth roll, a dense mesh, a heavy chain and a vacuum filter pipe, and the deployment composite isolation structure comprises laying a ship anchor in a safe area, laying a dense mesh on the upstream gentle area of the dam water side, and deploying a waterproof cloth roll.

[0039] The underwater fan-shaped deployment completed by the ship anchor system refers to fan-shaped laying and deployment to both sides in the middle of the gentle area, and the rope is used for traction flat laying.

[0040] The water head control by the traction rope comprises laying of the composite structure of the waterproof cloth and the dense mesh, and the laying range length and width are greater than the breach, at this time, the bottom is deployed, and then the water flow cannot flow out from the bottom of the waterproof cloth.

[0041] As a preferred scheme of the present application, the waterproof cloth comprises a negative pressure formed by vacuum extraction based on the area of the underwater fan-shaped region, considering the depth of the water depth in the middle part of the region, under the action of the combined force of atmospheric pressure and water pressure, the waterproof cloth is attached to the water bottom, at this time, the water flow resistance is small, then the defects of piping are solved, and whether the waterproof cloth leaks is monitored under the condition of the vacuum degree.

[0042] As a preferred scheme of the present application, the judgment of whether the waterproof cloth is attached to the water bottom or there is leakage comprises constructing a dynamic evaluation model of the waterproof cloth bottom attachment state by vacuum extraction and monitoring of the negative pressure change under the film, combining underwater sonar scanning and pressure sensing array feedback data.

[0043] When the local vacuum degree anomaly or the water flow leakage signal is monitored, the positioning information is automatically triggered, and the underwater robot or the throwing device is linked to perform reinforcement work.

[0044] As a preferred scheme of the present application, wherein: the laying of the tarpaulin and the dense mesh composite structure comprises arranging PE wire ropes in advance when laying the tarpaulin, the PE wire ropes are 5, 3 at the bottom and 2 at the top, the anchor fixing position is arranged in advance, then the rubber capsule and the PE wire ropes are connected firmly, the rubber capsule is pulled by the PE wire ropes, the rubber capsule is unfolded from the bottom to the other end of the tarpaulin, after the PE wire ropes and the anchor are fixed, high-pressure water injection is generated, due to the isolation of water flow by the tarpaulin, the water pressure is unloaded from the top, at the same time, a part of the force is provided by the tarpaulin, the dense mesh and the anchor, due to the isolation of water flow by the tarpaulin, the tarpaulin does not contact the rubber dam in the rubber capsule, at this time, the smooth outer surface of the tarpaulin is used to guide the water pressure.

[0045] As a preferred scheme of the present application, wherein: the dynamic evaluation model for constructing the tarpaulin bottom sticking state comprises collecting the under-film negative pressure data of the underwater fan-shaped area by the vacuum negative pressure monitoring unit, combining the local contact pressure values obtained by the pressure sensors installed on the heavy falling chain and the anchor to form an initial bottom sticking strength distribution map; the riverbed under the tarpaulin is continuously three-dimensionally imaged by the underwater sonar scanning unit, and the gap height and morphological change information between the tarpaulin bottom surface and the riverbed are extracted;

[0046] The negative pressure data, the local contact pressure values and the sonar gap image of the underwater sonar scanning unit are spatiotemporally aligned and data fused, the vacuum sensor node is used for pretreatment, the feature vectors of the multi-source data are extracted, the feature vectors include the negative pressure gradient change rate, the local pressure mutation index and the gap volume growth rate, and the feature vectors are input into the pre-trained learning network model, the learning network model is a model that takes historical measured bottom sticking state samples as a training set and outputs the bottom sticking confidence scores of each region of the tarpaulin;

[0047] Based on the bottom sticking confidence scores, the flow velocity monitoring information is combined to dynamically update the evaluation weight matrix of the overall bottom sticking state of the tarpaulin, a real-time bottom sticking state thermal process with spatial resolution is generated, and the wireless communication module is used for uploading the real-time bottom sticking state thermal process to the rescue command platform to continuously and dynamically evaluate whether the tarpaulin is completely stuck, whether there is local suspension or wrinkle.

[0048] The beneficial effects of this invention are as follows: By constructing a sealing system integrating ship anchor deployment, vacuum negative pressure bottom application, multi-source sensor monitoring, and intelligent linkage response, this invention achieves intelligent monitoring and closed-loop control of the entire process of sealing dike breaches. By integrating a distributed vacuum monitoring unit and leakage sensing sensor at the bottom of the waterproof fabric, combined with underwater sonar scanning and edge computing analysis, it can acquire and fuse information on negative pressure under the membrane, contact pressure, and bottom gap in real time, dynamically assess the bottom application status of the waterproof fabric, accurately identify local leakage or suspension risks, and further automatically trigger reinforcement commands through the intelligent assessment linkage unit to drive underwater robots or throwing devices to carry out targeted treatment. This significantly improves the response speed, monitoring accuracy, and operational reliability of breach sealing, effectively solving the problems of traditional methods relying on manual experience, having many monitoring blind spots, and delayed treatment, and providing scientific, efficient, and intelligent technical support for dike emergency rescue. Attached Figure Description

[0049] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

[0050] Figure 1 This is a flowchart of an intelligent monitoring system for rapid sealing of dike breaches provided in an embodiment of the present invention.

[0051] Figure 2 This is a flowchart of an intelligent monitoring method for rapid sealing of dike breaches provided in an embodiment of the present invention.

[0052] Figure 3 This is an electronic device block diagram of an intelligent monitoring system and method for rapid sealing of dike breaches provided in an embodiment of the present invention.

[0053] Figure 4 This is a computer-readable storage medium block diagram of an intelligent monitoring system and method for rapid sealing of dike breaches provided in an embodiment of the present invention. Detailed Implementation

[0054] The technical solutions of the present invention will now be described with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments.

[0055] Hereinafter, the terms "first," "second," etc., are used for descriptive convenience only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, a feature defined with "first," "second," etc., may explicitly or implicitly include one or more of that feature. In the description of this invention, unless otherwise stated, "a plurality of" means two or more.

[0056] In this invention, unless otherwise explicitly specified and limited, the term "connection" should be interpreted broadly. For example, "connection" can be a fixed mechanical connection, a detachable mechanical connection, or an integral part; or, "connection" can be a direct connection or an indirect connection through an intermediate medium. Furthermore, unless otherwise explicitly specified and limited, the term "coupling" should be interpreted broadly. For example, "coupling" can be a direct electrical connection, such as physical contact and electrical conduction between two components; it can also be understood as an electrical connection between different components in a circuit structure through physical lines capable of transmitting electrical signals, such as copper foil or wires on a printed circuit board (PCB), to transmit electrical signals; or, "coupling" can be an indirect electrical connection between two components through an intermediate medium; or, "coupling" can be an electrical connection between two components in a non-contact manner, such as an electrical connection between two components using capacitive coupling to transmit electrical signals.

[0057] In this embodiment of the invention, directional terms such as "up," "down," "left," and "right" may be defined relative to the orientation of the components shown in the accompanying drawings. It should be understood that these directional terms can be relative concepts, used for relative description and clarification, and can change accordingly depending on the orientation of the components in the accompanying drawings.

[0058] The embodiments of the present invention can be used for emergency sealing of sudden breaches in river and lake dikes, reservoir dams, cofferdams, and other projects caused by extreme weather, piping, or structural instability. It is particularly suitable for large-scale breach rescue operations in deep and fast-flowing water where traditional throwing methods are difficult. At the same time, the system can be pre-deployed as standardized intelligent equipment for water conservancy emergency management departments and flood control and rescue teams. It can also be integrated with intelligent rescue platforms such as drones, unmanned boats, and underwater robots, and can be widely used in flood control and disaster relief, emergency support for major water conservancy projects, and military rapid river crossing projects.

[0059] Key technical features of the embodiments of the present invention are as follows: By deploying a ship anchor system in the gentle upstream area of ​​the breach, combined with a composite structure integrating waterproof fabric rolls, dense mesh netting, heavy-duty chains, and vacuum filter tubes, and using a fan-shaped unfolding method from the center to both sides and traction rope control, a large-scale underwater bottom-laying is achieved, forming a pre-emptive isolation barrier covering the breach; distributed vacuum sensor nodes and vacuum filter tubes are set at the bottom of the waterproof fabric, and a negative pressure is formed under the membrane by evacuation, utilizing the combined force of water pressure and atmospheric pressure to make it adhere tightly to the riverbed, and real-time monitoring of negative pressure changes to determine the integrity of the bottom-laying and the leakage status; and the system integrates vacuum negative pressure, contact pressure, and underwater sonar three-dimensional imaging. Multi-source sensor data, including water flow disturbance data, are spatiotemporally aligned and feature extracted using edge computing. This data is then input into a deep learning model to generate a heat map of the waterproof fabric's bottom-mounted state, enabling continuous dynamic assessment. Based on the assessment results, the risk level is automatically determined, triggering commands to drive underwater robots or unmanned delivery devices to precisely reinforce the leak points, forming a closed-loop control system of "monitoring—assessment—early warning—response." Simultaneously, downstream of the waterproof fabric, a rubber bladder is deployed and filled with water using PE steel wire ropes to form a temporary rubber dam. This dam, together with the upstream waterproof fabric, constitutes a dual-layer collaborative sealing system of "isolation + water blocking," significantly improving the stability and erosion resistance of the overall sealing structure.

[0060] Example 1:

[0061] like Figure 1 As shown, an embodiment of the present invention provides a method comprising the following steps:

[0062] Step S100: Establish an anchor system to deploy a composite isolation structure in the calm water area upstream of the breach, complete the underwater fan-shaped deployment, and control the head of the water using traction ropes.

[0063] Step S200: Construct an integrated intelligent monitoring system, which includes a distributed vacuum monitoring module deployed at the bottom of the waterproof fabric, a leakage sensing sensor array module, a multi-source data fusion intelligent assessment module, and an emergency response module.

[0064] Step S300: The distributed vacuum monitoring module includes:

[0065] The vacuum negative pressure monitoring unit is used to integrate a distributed vacuum monitoring module at the bottom of the waterproof cloth. Vacuum sensor nodes are set up in a grid layout along the laying direction of the waterproof cloth to determine whether the waterproof cloth is in contact with the bottom of the water or whether there is a leak.

[0066] The leakage sensing sensor array module includes:

[0067] Underwater sonar scanning units deployed upstream and downstream are used to monitor water flow penetration signals;

[0068] The intelligent evaluation module for multi-source data fusion includes:

[0069] The edge dynamic evaluation unit is used to receive multi-source data from the vacuum negative pressure monitoring unit and the monitoring water flow penetration signal;

[0070] The emergency response module includes:

[0071] The intelligent assessment and linkage unit is used to monitor the rapid sealing of dike breaches.

[0072] The ship anchor system includes an anchor positioning module, a composite structure deployment module, a head control and bottom-hugging protection module, and a collaborative control module.

[0073] The anchoring and positioning module consists of a ship's anchor, anchor piles, and anchor chains;

[0074] The composite structure deployment module consists of a waterproof fabric roll-up mechanism, a guide pulley system, and traction ropes.

[0075] The water head control bottom protection module consists of a heavy-duty chain, a vacuum filter tube interface, and a spreading monitoring unit.

[0076] The collaborative control module consists of integrated GPS positioning, an underwater camera, and a tension sensor.

[0077] Furthermore, the vacuum negative pressure monitoring unit includes a sensor deployment subunit, a pressure acquisition subunit, a data aggregation subunit, and a signal transmission subunit;

[0078] The sensor deployment subunit is used to distribute vacuum sensor nodes in a fan-shaped grid pattern along the laying direction of the waterproof cloth at the bottom, with each node position corresponding to the interface of the vacuum filter tube.

[0079] The pressure acquisition subunit utilizes the pressure sensing chip and water filter membrane built into the vacuum sensor node. The filter membrane blocks the entry of sediment while allowing gas pressure to be transmitted. The sensing chip periodically acquires the gas pressure value under the membrane in the area it is in and converts the analog signal into a digital signal.

[0080] The data aggregation subunit is used to connect the vacuum sensor node to the central data acquisition unit via a waterproof shielded cable in a bus manner. The central data acquisition unit polls the node data periodically to complete time synchronization and data packaging, forming a sub-membrane negative pressure data sequence with location tags.

[0081] The transmission subunit is used to transmit the packaged negative pressure data sequence to the shore-based monitoring server in real time via wireless communication from the central data acquisition unit.

[0082] Furthermore, the underwater sonar scanning unit deployed upstream and downstream includes a sonar deployment subunit and a three-dimensional imaging subunit.

[0083] The sonar deployment subunit is used to deploy low-frequency multibeam underwater sonar equipment at preset locations on the riverbed in the gentle upstream area and the scour downstream area of ​​the breach. The scanning range covers the bottom and edge transition zone of the waterproof fabric laying area to monitor the interface between the waterproof fabric and the riverbed.

[0084] The three-dimensional imaging subunit is used to receive echo signals from the sound waves emitted by the low-frequency multibeam underwater sonar equipment, analyze the water flow characteristics based on the changes in the echo signals, and identify whether there are local scour or seepage channels caused by water flow penetration.

[0085] Furthermore, the edge dynamic evaluation unit includes a data fusion subunit and a state evaluation subunit;

[0086] The data fusion subunit includes acquiring sub-membrane pressure sequence data from the vacuum negative pressure monitoring unit and flow field analysis data from the underwater sonar scanning unit, and performing timestamp alignment and spatial coordinate mapping on monitoring signals from different sources and sampling frequencies to form a multi-source dataset under a unified spatiotemporal reference.

[0087] The state assessment subunit includes time-stamp alignment and spatial coordinate mapping of monitoring signals from different sources and with different sampling frequencies to form a multi-source dataset under a unified spatiotemporal reference, and then performing state assessment.

[0088] The intelligent assessment and linkage unit includes a risk determination subunit and an instruction triggering subunit;

[0089] The risk assessment subunit is used to assess abnormal event alarm information received regarding the rapid sealing of dike breaches;

[0090] The instruction triggering subunit is used to automatically generate response instructions based on the risk assessment results, and simultaneously upload alarm information and linkage status to the emergency command platform.

[0091] In the above embodiments, a composite isolation structure controlled by a ship anchor system is deployed in the calm water area upstream of the breach to achieve underwater fan-shaped deployment and bottom fixation of the waterproof fabric. Simultaneously, an integrated intelligent monitoring system is constructed, utilizing a distributed vacuum monitoring module deployed at the bottom of the waterproof fabric and upstream and downstream underwater sonar scanning units to collect real-time data on negative pressure under the membrane and water penetration signals. Status analysis is performed through an edge dynamic evaluation unit that integrates multi-source data fusion, and combined with an emergency response module, intelligent judgment and automatic alarm are achieved for the sealing status. This enables comprehensive, real-time, and intelligent monitoring of the breach sealing process. This embodiment improves the stability and deployment efficiency of the sealing structure under complex water flow conditions through the coordinated design of the anchor system and the composite isolation structure; the combination of distributed vacuum monitoring and underwater sonar scanning achieves high-precision and all-round perception of the waterproof cloth's bottoming status and leakage risk; multi-source data fusion and edge dynamic evaluation mechanism significantly enhance the system's ability to identify abnormal working conditions, and in conjunction with emergency linkage response, can issue early warnings and trigger disposal commands in a timely manner, thus greatly improving the safety, reliability and response speed of dike breach sealing operations and providing strong intelligent support for emergency decision-making.

[0092] Example 2:

[0093] like Figures 2-4 As shown, based on Example 1, in step S100 provided in this embodiment of the invention...

[0094] Step S101: The composite isolation structure includes waterproof fabric rolls, dense mesh netting, heavy-duty chains, and vacuum filter tubes. Deploying the composite isolation structure involves laying ship anchors, dense mesh netting, and waterproof fabric rolls in a gentle upstream area on the water side of the dam in the safe zone.

[0095] Underwater fan-shaped deployment via anchor system refers to laying out the material in a fan shape from the middle of a flat area to both sides, using ropes for traction and flattening.

[0096] Controlling the water head using traction ropes involves laying a composite structure of waterproof fabric and dense mesh netting. The length and width of the laid area are greater than the breach. When the bottom is unfolded, the water cannot flow out from the bottom of the waterproof fabric.

[0097] Step S102: The waterproof cloth is based on an underwater fan-shaped area. After considering the water depth in the middle part of the area, a vacuum is drawn to form a negative pressure. Under the combined action of atmospheric pressure and water pressure, the waterproof cloth adheres to the bottom of the water. At this time, the water flow resistance is reduced, thus solving the piping defect. Under vacuum conditions, the waterproof cloth is monitored for leakage.

[0098] Step S103: Determine whether the waterproof cloth is attached to the bottom of the water or whether there is a leak. This includes drawing a vacuum and monitoring the change in negative pressure under the membrane. Combined with underwater sonar scanning and pressure sensor array feedback data, a dynamic evaluation model of the waterproof cloth's attachment status is constructed.

[0099] When an abnormal local vacuum or water leakage signal is detected, the system automatically triggers the positioning information and coordinates with an underwater robot or throwing device to carry out reinforcement work.

[0100] Step S104: Determine whether the waterproof cloth is attached to the bottom of the water or whether there is a leak. This includes drawing a vacuum and monitoring the change in negative pressure under the membrane. Combined with underwater sonar scanning and pressure sensor array feedback data, a dynamic evaluation model of the waterproof cloth's attachment status is constructed.

[0101] When an abnormal local vacuum or water leakage signal is detected, the system automatically triggers the positioning information and coordinates with an underwater robot or throwing device to carry out reinforcement work.

[0102] Step S105: The installation of the composite structure of waterproof fabric and dense mesh includes laying PE steel wire ropes in advance when laying the waterproof fabric. There are 5 PE steel wire ropes, 3 at the bottom and 2 at the top. The anchor positions are set in advance. Then, the rubber bladder and PE steel wire ropes are firmly connected. The rubber bladder is pulled by the PE steel wire ropes and unfolded from the bottom of the waterproof fabric to the other end. After the PE steel wire ropes and anchors are fixed, high pressure water is injected. Because the waterproof fabric isolates the water flow, the water pressure is released from the top. At the same time, part of the force is provided by the waterproof fabric, dense mesh and anchor. Because the waterproof fabric isolates the water flow, it does not come into contact with the rubber dam in the rubber bladder. At this time, the smooth outer surface of the waterproof fabric is used to guide the water pressure.

[0103] In step S105, to achieve stable laying and stress balance control of the composite structure of waterproof fabric and dense mesh, a dynamic stress balance equation of the composite sealing body based on the synergistic effect of fluid-structure interaction and structural tension can be introduced during system deployment. This equation is used to evaluate in real time the multi-field coupling relationship between the PE steel wire rope traction force, water flow pressure unloading distribution, rubber bladder expansion reaction force, and system anchorage bearing capacity. The formula is as follows:

[0104]

[0105] Among them, T i Cosθ represents the real-time tension of the i-th PE steel wire rope. i p represents the angle between the i-th wire rope and the horizontal plane. w (x, y, t) represents the transient water pressure field acting on the upper surface of the waterproof fabric, σ contact (x, y, t) represents the local contact stress between the bottom of the waterproof fabric and the riverbed, E rubber A represents the equivalent elastic modulus of the rubber bladder material. 囊壁 The effective working area of ​​the rubber bladder is represented by η, the rubber expansion-structure response coupling coefficient is represented by α, and the nonlinear expansion response exponent is represented by F. anchor，j μ represents the anchoring force provided by the j-th anchor pile. jC represents the coefficient of friction at the anchor pile-soil interface. d ρ represents the water flow resistance coefficient of the exposed surface of the waterproof fabric. f U represents the density of the water, U represents the average flow velocity in the breach area, and A represents the average flow velocity in the breach area. exposed β(t) represents the projected area of ​​the water-facing side of the part of the waterproof fabric that is not attached to the bottom, and β(t) represents the dynamic bottom-attachment correction factor.

[0106] Step S106: Constructing a dynamic evaluation model for the waterproof fabric's bottom-attachment state includes collecting negative pressure data under the membrane in the underwater fan-shaped area through a vacuum negative pressure monitoring unit, obtaining local contact pressure values ​​by combining pressure sensors installed on the weight chain and anchor, and forming an initial bottom-attachment strength distribution map; using an underwater sonar scanning unit to perform continuous three-dimensional imaging of the riverbed below the waterproof fabric, and extracting information on the gap height and morphological changes between the bottom surface of the waterproof fabric and the riverbed.

[0107] A bottom-fit confidence scoring function is used to fuse physical quantities from multiple sensors into a continuous value between 0 and 1, representing the confidence level of whether the waterproof fabric is tightly attached to the riverbed at a certain location (x, y) and time t. The calculation formula is as follows:

[0108]

[0109] Among them, F vac (x, y, t) represents the sub-membrane negative pressure data acquired by the vacuum negative pressure monitoring unit at position (x, y) and time t. C(x, y, t) represents the bottom-attach confidence level, x and y represent spatial coordinates, t represents the time variable, and k1, k2, k3, and k4 represent weighting coefficients. G contact (x, y, t) represents the local contact pressure value, H gap (x, y, t) represents the gap height and shape change information, R temporal (x, y, t) are time series adjustment coefficients.

[0110] The negative pressure data, local contact pressure values ​​and sonar gap images of the underwater sonar scanning unit are spatiotemporally aligned and fused. Vacuum sensor nodes are used for preprocessing to extract feature vectors from the multi-source data. The feature vectors include the negative pressure gradient change rate, the local pressure mutation index and the gap volume growth rate. These feature vectors are then input into a pre-trained learning network model. The learning network model uses historical measured bottom-attachment state samples as the training set and outputs the bottom-attachment confidence score for each area of ​​the current waterproof fabric.

[0111] Based on the bottom adhesion confidence score and combined with water flow velocity monitoring information, the evaluation weight matrix of the overall bottom adhesion status of the waterproof cloth is dynamically updated to generate a real-time bottom adhesion thermal process with spatial resolution. This process is then uploaded to the emergency command platform via a wireless communication module to continuously and dynamically evaluate whether the waterproof cloth is completely adhered and whether there are any local suspensions or wrinkles.

[0112] Preferably, five PE steel wire ropes are used, three at the bottom and two at the top. This configuration is optimized based on the stress distribution characteristics and engineering stability requirements of the breach sealing structure, rather than being arbitrary. In actual deployment, as the rubber bladder passes through the bottom of the waterproof fabric and unfolds, its lower part bears the main underwater buoyancy, water flow impact, and its own weight, requiring stronger traction and fixing capabilities. Therefore, three PE steel wire ropes are arranged at the bottom, evenly distributed along the cross-section, to ensure that the rubber bladder maintains a stable posture during traction, preventing twisting or displacement, and effectively transmitting the huge water-blocking thrust generated after water injection to the anchor piles on the shore. The two upper steel wire ropes are used to control the unfolding direction of the top of the rubber bladder, assist in adjusting its vertical posture, prevent floating or wrinkling, and bear part of the tensile stress after high-pressure water injection, forming a coordinated upper and lower stress system. The number of supports was determined through underwater simulated traction tests and mechanical simulation analysis. While ensuring structural safety, it also takes into account construction efficiency and material costs. The 3:2 distribution ratio can effectively balance traction force, tensile strength and ease of deployment. It is suitable for most small and medium-sized breach scenarios. It can be dynamically adjusted during the engineering implementation according to the actual breach width, water depth and flow velocity. However, the configuration of 5 supports is the minimum effective configuration to achieve reliable traction and stability.

[0113] The comparison between the present invention and the prior art is shown in Table 1 below:

[0114] Table 1 Comparison between the present invention and the prior art

[0115]

[0116]

[0117] Table 1 shows that existing technologies mainly rely on human experience and passive blocking, lacking real-time monitoring and intelligent response capabilities, which significantly improves the efficiency and reliability of emergency rescue.

[0118] The above embodiments refine the deployment method and dynamic evaluation mechanism of the intelligent monitoring system for rapid sealing of dike breaches: A composite isolation structure consisting of waterproof fabric rolls, dense mesh netting, heavy-duty chains, and vacuum filter tubes is deployed underwater in a fan shape from the center outwards in the gentle upstream area of ​​the breach, with a laying area larger than the breach size. PE steel wire ropes (3 at the bottom and 2 at the top) are used to pull the rubber bladder and inject water to pressurize it, ensuring the waterproof fabric adheres tightly to the bottom under the combined action of water pressure and negative pressure, preventing water seepage from the bottom; vacuuming and... By monitoring changes in negative pressure under the membrane in real time and combining underwater sonar scanning and pressure sensing data, a dynamic evaluation model of the waterproof membrane's bottom-attachment status based on multi-source information fusion is constructed. The fluid-structure interaction force balance equation and bottom-attachment confidence scoring function are introduced, and a spatialized bottom-attachment status heat map is output using a pre-trained learning network. This enables continuous and accurate assessment of bottom-attachment integrity and leakage risk. Once an anomaly is detected, it can automatically locate and link an underwater robot or throwing device for reinforcement, forming an integrated intelligent sealing system of "deployment-monitoring-assessment-response".

[0119] Figure 3 A block diagram of an exemplary electronic device suitable for implementing embodiments of the present invention is shown.

[0120] The electronic device may include a central processing unit / microprocessor / main control chip, etc. 4; and a storage medium 5, coupled to the central processing unit / microprocessor / main control chip, etc. 4, and storing computer-executable instructions therein for performing the steps of various methods of embodiments of the present invention when executed by the processor.

[0121] The central processing unit / microprocessor / main control chip, etc., can include, but are not limited to, one or more processors or microprocessors.

[0122] Storage medium 5 may include, but is not limited to, random access memory (RAM), read-only memory (ROM), flash memory, EPROM memory, EEPROM memory, registers, computer storage media (e.g., hard disk, floppy disk, solid-state drive, removable disk, CD-ROM, DVD-ROM, Blu-ray disc, etc.).

[0123] In addition, the electronic device may also include (but is not limited to) a data bus 6, an input / output bus / external bus / device bus 7, a display 8, and input / output devices 9 (e.g., keyboard, mouse, speaker, etc.).

[0124] The central processing unit / microprocessor / main control chip, etc. 4 can communicate with external devices (8, 9, etc.) via I / O bus 7 through wired or wireless network (not shown).

[0125] The storage medium 5 may also store at least one computer-executable instruction for performing the steps of various functions and / or methods in the embodiments described herein when the central processing unit / microprocessor / main control chip, etc., 4 is running.

[0126] In one embodiment, the at least one computer-executable instruction may also be compiled into or comprise a software product, wherein one or more computer-executable instructions are executed by a processor to perform the steps of the various functions and / or methods in the embodiments described herein.

[0127] Figure 4 A schematic diagram of a computer-readable storage medium according to an embodiment of the present invention is shown.

[0128] like Figure 4 As shown, the non-transitory computer-readable storage medium 11 stores instructions, such as computer-readable instructions 10. When the computer-readable instructions 10 are executed by a processor, the various methods described above can be performed. The non-transitory computer-readable storage medium includes, but is not limited to, volatile memory and / or non-volatile memory. Volatile memory may include, for example, random access memory (RAM) and / or cache memory. Non-transitory non-volatile memory may include, for example, read-only memory (ROM), hard disk, flash memory, etc. For example, the non-transitory computer-readable storage medium 11 can be connected to a computing device such as a computer, and then, when the computing device executes the computer-readable instructions 10 stored on the computer-readable storage medium 11, the various methods described above can be performed.

[0129] In the several embodiments provided by this invention, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0130] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0131] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0132] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for executing all or part of the steps of the methods of the various embodiments of this invention through a computer device (which may be a personal computer, server, or network device, etc.). The aforementioned storage medium includes: USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, optical disks, and other media capable of storing program code.

[0133] 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 the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A smart monitoring system for rapid sealing of dike breaches, characterized in that, Includes the following steps: Establish a ship anchor system to deploy composite isolation structures in the calm water area upstream of the breach, complete the underwater fan-shaped deployment, and use traction ropes to control the head; An integrated intelligent monitoring system is constructed, which includes a distributed vacuum monitoring module deployed at the bottom of the waterproof fabric, a leakage sensing sensor array module, a multi-source data fusion intelligent assessment module, and an emergency response module. The distributed vacuum monitoring module includes: The vacuum negative pressure monitoring unit is used to integrate a distributed vacuum monitoring module at the bottom of the waterproof cloth. Vacuum sensor nodes are set up in a grid layout along the laying direction of the waterproof cloth to determine whether the waterproof cloth is in contact with the bottom of the water or whether there is a leak. The leakage sensing sensor array module includes: Underwater sonar scanning units deployed upstream and downstream are used to monitor water flow penetration signals; The intelligent evaluation module for multi-source data fusion includes: The edge dynamic evaluation unit is used to receive multi-source data from the vacuum negative pressure monitoring unit and the monitoring water flow penetration signal; The emergency response module includes: The intelligent assessment and linkage unit is used to monitor the rapid sealing of dike breaches.

2. The intelligent monitoring system for rapid sealing of dike breaches as described in claim 1, characterized in that, The anchor system includes an anchor positioning module, a composite structure deployment module, a head control and bottom-hugging protection module, and a collaborative control module. The anchoring and positioning module consists of a ship anchor, anchor piles, and anchor chains. The composite structure deployment module consists of a waterproof fabric roll-up mechanism, a guide pulley system, and a traction rope. The water head control bottom protection module consists of a heavy-duty chain, a vacuum filter tube interface, and a spreading monitoring unit. The collaborative control module comprises an integrated GPS positioning system, an underwater camera, and a tension sensor.

3. The intelligent monitoring system for rapid sealing of dike breaches as described in claim 1, characterized in that, The vacuum negative pressure monitoring unit includes a sensor deployment subunit, a pressure acquisition subunit, a data aggregation subunit, and a signal transmission subunit. The sensor deployment subunit is used to distribute vacuum sensor nodes in a fan-shaped grid pattern along the laying direction of the waterproof cloth at the bottom, with each node position corresponding to the interface of the vacuum filter tube. The pressure acquisition subunit is used to utilize the pressure sensing chip and water filter membrane built into the vacuum sensor node. The filter membrane blocks the entry of sediment while allowing gas pressure to be transmitted. The sensing chip periodically collects the gas pressure value under the membrane in the area and converts the analog signal into a digital signal. The data aggregation subunit is used to connect the vacuum sensor node to the central data acquisition unit via a waterproof shielded cable in a bus manner. The central data acquisition unit polls the node data periodically to complete time synchronization and data packaging, forming a sub-membrane negative pressure data sequence with location tags. The transmission subunit is used to transmit the packaged negative pressure data sequence to the shore-based monitoring server in real time via wireless communication on the central data acquisition unit.

4. The intelligent monitoring system for rapid sealing of dike breaches as described in claim 1, characterized in that, The underwater sonar scanning unit deployed upstream and downstream includes a sonar deployment subunit and a three-dimensional imaging subunit. The sonar deployment subunit is used to deploy low-frequency multibeam underwater sonar equipment at preset locations on the riverbed in the gentle upstream area and the scour downstream area of ​​the breach. The scanning range covers the bottom and edge transition zone of the waterproof fabric laying area to monitor the contact interface between the waterproof fabric and the riverbed. The three-dimensional imaging subunit is used to receive echo signals from the sound waves emitted by the low-frequency multibeam underwater sonar equipment, analyze the water flow characteristics based on the changes in the echo signals, and identify whether there are local scour or seepage channels caused by water flow penetration.

5. The intelligent monitoring system for rapid sealing of dike breaches as described in claim 1, characterized in that, The edge dynamic evaluation unit includes a data fusion subunit and a state evaluation subunit; The data fusion subunit includes acquiring sub-membrane pressure sequence data from the vacuum negative pressure monitoring unit and flow field analysis data from the underwater sonar scanning unit, and performing timestamp alignment and spatial coordinate mapping on monitoring signals from different sources and with different sampling frequencies to form a multi-source dataset under a unified spatiotemporal reference. The state assessment subunit includes time-stamp alignment and spatial coordinate mapping of monitoring signals from different sources and with different sampling frequencies to form a multi-source dataset under a unified spatiotemporal reference, and then performing state assessment. The intelligent assessment and linkage unit includes a risk determination subunit and an instruction triggering subunit; The risk assessment subunit is used to assess abnormal event alarm information received regarding the rapid sealing of dike breaches; The instruction triggering subunit is used to automatically generate response instructions based on the risk assessment results, and simultaneously upload alarm information and linkage status to the emergency command platform.

6. A method for rapid sealing and intelligent monitoring of dike breaches, based on the intelligent monitoring system for rapid sealing and intelligent monitoring of dike breaches as described in any one of claims 1 to 5, characterized in that: include, The composite isolation structure includes waterproof fabric rolls, dense mesh netting, heavy-duty chains, and vacuum filter tubes. The deployment of the composite isolation structure includes laying ship anchors, dense mesh netting, and waterproof fabric rolls in a gentle upstream area on the water side of the dam for deployment in a safe zone. Underwater fan-shaped deployment via anchor system refers to laying out the material in a fan shape from the middle of a flat area to both sides, using ropes for traction and flattening. The method of controlling the water head using traction ropes includes laying a composite structure of waterproof cloth and dense mesh netting. The length and width of the laid area are greater than the breach. When the bottom is unfolded, the water flow cannot flow out from the bottom of the waterproof cloth.

7. The intelligent monitoring method for rapid sealing of dike breaches as described in claim 6, characterized in that: The waterproof fabric is based on an underwater fan-shaped area. After considering the water depth in the middle part of the area, a vacuum is drawn to create negative pressure. Under the combined action of atmospheric pressure and water pressure, the waterproof fabric adheres to the bottom of the water. At this time, the water flow resistance is reduced, thus solving the problem of piping defects. The waterproof fabric is monitored for leakage under vacuum conditions.

8. The intelligent monitoring method for rapid sealing of dike breaches as described in claim 7, characterized in that: The determination of whether the waterproof cloth adheres to the bottom of the water or whether there is a leak includes drawing a vacuum and monitoring the change of negative pressure under the membrane, and combining underwater sonar scanning and pressure sensor array feedback data to construct a dynamic evaluation model of the waterproof cloth's adhesion status. When an abnormal local vacuum or water leakage signal is detected, the system automatically triggers the positioning information and coordinates with an underwater robot or throwing device to carry out reinforcement work.

9. The intelligent monitoring method for rapid sealing of dike breaches as described in claim 8, characterized in that: The installation of the composite structure of waterproof fabric and dense mesh includes pre-laying PE steel wire ropes during the installation of the waterproof fabric. There are 5 PE steel wire ropes, 3 at the bottom and 2 at the top. Anchor positions are set in advance. Then, the rubber bladder and PE steel wire ropes are firmly connected. The rubber bladder is pulled by the PE steel wire ropes and unfolded from the bottom of the waterproof fabric to the other end. After the PE steel wire ropes and anchors are fixed, high-pressure water is injected. Because the waterproof fabric isolates the water flow, the water pressure is released from the top. At the same time, part of the force is provided by the waterproof fabric, dense mesh, and anchor. Because the waterproof fabric isolates the water flow, it does not come into contact with the rubber dam in the rubber bladder. At this time, the smooth outer surface of the waterproof fabric is used to guide the water pressure.

10. The intelligent monitoring method for rapid sealing of dike breaches as described in claim 9, characterized in that: The dynamic evaluation model for constructing the waterproof fabric's bottom-attachment state includes collecting negative pressure data under the membrane in an underwater fan-shaped area through a vacuum negative pressure monitoring unit, obtaining local contact pressure values ​​by combining pressure sensors installed on the weighted chain and anchor, and forming an initial bottom-attachment strength distribution map; and using an underwater sonar scanning unit to perform continuous three-dimensional imaging of the riverbed below the waterproof fabric, extracting information on the gap height and morphological changes between the bottom surface of the waterproof fabric and the riverbed. The negative pressure data, local contact pressure values, and sonar gap images of the underwater sonar scanning unit are spatiotemporally aligned and fused. Vacuum sensor nodes are used for preprocessing to extract feature vectors from the multi-source data. The feature vectors include the negative pressure gradient change rate, the local pressure mutation index, and the gap volume growth rate. These feature vectors are then input into a pre-trained learning network model. The learning network model uses historical measured bottom-attachment state samples as the training set and outputs the bottom-attachment confidence score for each area of ​​the current waterproof fabric. Based on the bottom-fit confidence score and combined with water flow velocity monitoring information, the evaluation weight matrix of the overall bottom-fit status of the waterproof cloth is dynamically updated to generate a real-time bottom-fit thermal process with spatial resolution. This process is then uploaded to the emergency command platform via a wireless communication module to continuously and dynamically evaluate whether the waterproof cloth is fully fitted and whether there are any local gaps or wrinkles.

Images