Anti-seepage curtain full-life-cycle intelligent monitoring system

Abstract

The invention discloses an anti-seepage curtain full-life-cycle intelligent monitoring system, which comprises a sensing module, a transmission module, a data processing module and an application module, and is characterized in that high-precision sensors comprise a displacement sensor, a stress-strain sensor, a seepage pressure sensor and a temperature and humidity sensor, so that structural design data, monitoring data and operation and maintenance data are obtained; the environment monitoring sensor obtains precipitation and soil moisture, so that deformation monitoring of a curtain material is obtained, the deformation condition of the curtain is monitored in real time, efficient and accurate state monitoring and evaluation can be conducted in the full life cycle of the anti-seepage curtain, the manual inspection cost is effectively reduced, the monitoring precision and the response speed are improved, and the anti-seepage effect is improved. Through an intelligent early warning mechanism and data analysis, the system can realize early prevention and risk control of accidents, greatly reduce the manual inspection cost, and improve the monitoring precision and response speed.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent monitoring of the entire life cycle of anti-seepage curtains, and specifically to an intelligent monitoring system for the entire life cycle of anti-seepage curtains. Background Art

[0002] As an important anti-seepage facility in civil engineering, anti-seepage curtains are widely used in water conservancy, environmental protection, petrochemical and other fields. In particular, they play a key role in projects such as groundwater control, environmental pollution prevention and control, and large reservoirs. The quality and stability of anti-seepage curtains directly affect the safety of the project and the sustainability of the environment.

[0003] However, the current anti-seepage curtain monitoring system mostly relies on manual inspections and regular checks, which have problems such as untimely information acquisition, insufficient monitoring accuracy and slow response speed. Especially during the long-term use of the anti-seepage curtain, the monitoring data is often scattered and its potential value cannot be fully tapped, resulting in management risks. Summary of the Invention

[0004] The present invention provides an intelligent monitoring system for the entire life cycle of an anti-seepage curtain, which can effectively solve the problems raised in the above background technology that the current anti-seepage curtain monitoring system mostly relies on manual inspections and regular inspections, and has problems such as untimely information acquisition, insufficient monitoring accuracy and slow response speed. Especially during the long-term use of the anti-seepage curtain, the monitoring data is often scattered and its potential value cannot be fully tapped, resulting in management risks.

[0005] To achieve the above-mentioned object, the present invention provides the following technical solutions: an intelligent monitoring system for the entire life cycle of an anti-seepage curtain, comprising a sensing module, a transmission module, a data processing module, and an application module;

[0006] The sensing module uses a variety of high-precision sensors placed at key locations on the anti-seepage curtain to collect deformation, stress, and permeability data of the curtain material in real time. It also combines environmental monitoring sensors to obtain external conditions that affect the anti-seepage performance.

[0007] The transmission module transmits the data collected by the perception layer to the data processing center through wireless communication technology;

[0008] The data processing module uses big data technology and artificial intelligence algorithms to process, store, analyze and predict models of the collected data. Through data fusion technology, it analyzes the various operating indicators of the anti-seepage curtain, evaluates its health status, and generates a risk warning model based on environmental data to predict the risk of anti-seepage failure in advance and prevent accidents.

[0009] The application module provides a data visualization interface and an intelligent decision-making support platform to monitor the operating status of the anti-seepage curtain in real time, and provides managers with scientific decision-making support through intelligent algorithms, including equipment maintenance recommendations, system optimization plans, and emergency plans. The system can also customize early warning threshold settings according to user needs.

[0010] According to the above technical solution, the high-precision sensors include displacement sensors, stress and strain sensors, osmotic pressure sensors, and temperature and humidity sensors, which can obtain structural design data, monitoring data, and operation and maintenance data;

[0011] Environmental monitoring sensors obtain precipitation and soil moisture, thereby obtaining deformation monitoring of curtain materials and monitoring the deformation of the curtain in real time;

[0012] High-precision sensors monitor the stress changes of the curtain under the action of external forces in real time to determine whether the anti-seepage curtain is subjected to pressure exceeding the design range;

[0013] The seepage pressure sensor detects water seepage in real time, understands the anti-seepage effect of the anti-seepage curtain, and promptly discovers the seepage path and leakage points;

[0014] By combining the internal monitoring data of the anti-seepage curtain, such as deformation, stress, and permeability, with the external environmental data, such as groundwater level and meteorological data.

[0015] According to the above technical solution, the transmission module adopts LoRa, 5G, and Zigbee, enters a dormant state when there is no new data, and wakes up only when data needs to be transmitted;

[0016] For important or sudden data, the transmission module can assign them a higher priority, so that these data can be transmitted to the data processing module first when an exception occurs;

[0017] Edge computing capabilities can be integrated into the transmission module to perform preliminary data preprocessing, anomaly detection and screening.

[0018] According to the above technical solution, the data processing module stores monitoring data through the cloud platform, making the data accessible anytime and anywhere. The remote monitoring platform can realize real-time status monitoring of the anti-seepage curtain. Local managers and remote operation and maintenance personnel can monitor and diagnose the operating status of the anti-seepage curtain through the network.

[0019] Data visualization tools provide an intuitive interface to display monitoring data, helping decision makers quickly understand the current status of the anti-seepage curtain and generate reports, analysis results and recommendations based on the data.

[0020] According to the above technical solution, some monitoring parameters are adjusted autonomously based on the data collected in real time by the perception module;

[0021] By establishing a fault diagnosis model for anti-seepage curtains, potential problems of anti-seepage curtains can be automatically diagnosed based on real-time data, and maintenance suggestions or the required maintenance time can be given based on historical data.

[0022] According to the above technical solution, the data processing module integrates the monitoring data of different sensors to provide accurate real-time feedback on the comprehensive health status of the anti-seepage curtain;

[0023] Through convolutional neural network technology, image data and sensor data are integrated to enhance the accuracy and comprehensiveness of monitoring;

[0024] Develop a health assessment model supported by multiple sensor data.

[0025] According to the above technical solution, the data processing module evaluates the health status of the anti-seepage curtain based on various monitoring data, real-time changes in stress, deformation, and permeability, and generates a health score;

[0026] At the same time, AI models are used to analyze historical data and predict the future operating trends of the anti-seepage curtain.

[0027] The system can adjust model parameters in real time and perform online learning based on newly collected data.

[0028] According to the above technical solution, the data processing module uses real-time monitoring data to display the current value, historical trend and warning status of each key indicator on the dashboard. The dashboard can be customized according to different user needs, allowing managers to focus on the most critical indicators;

[0029] The data charts use line charts, bar charts, pie charts and other chart formats to show the changing trends of monitoring data, helping users to intuitively understand the operating status of the anti-seepage curtain;

[0030] Combined with GIS technology, it displays the geographical distribution of anti-seepage curtains and the real-time status of monitoring nodes. Through the map view, users can clearly view the monitoring data of different sensors and analyze the risk situation in different areas;

[0031] By integrating BIM technology, the design drawings, construction information and real-time monitoring data of the anti-seepage curtain are combined in a three-dimensional virtual model to form an intuitive visual interface.

[0032] According to the above technical solution, the data processing module analyzes the anti-seepage curtain monitoring data, and the intelligent decision-making platform can automatically identify the health status of the equipment and generate a maintenance plan for the management personnel based on preset rules or machine learning models.

[0033] According to the above technical solution, the data processing module intelligent platform can intelligently recommend resource optimization solutions based on monitoring data and system operating conditions. The system can also combine environmental conditions and equipment status to provide energy-saving solutions, optimize operating parameters, and reduce system energy consumption.

[0034] Compared with the existing technology, the beneficial effects of the present invention are: the structure of the present invention is scientific and reasonable, and it is safe and convenient to use. It can perform efficient and accurate status monitoring and evaluation throughout the life cycle of the anti-seepage curtain, effectively reducing the cost of manual inspections, and improving monitoring accuracy and response speed. Through intelligent early warning mechanisms and data analysis, the system can achieve early prevention of accidents and risk control, greatly reducing the cost of manual inspections, and improving monitoring accuracy and response speed. Through intelligent early warning mechanisms and data analysis, the system can achieve early prevention of potential accidents, reduce risks and optimize maintenance plans. These advantages not only improve the operational safety and reliability of the anti-seepage curtain, but also provide comprehensive and scientific data improvements for later operation and maintenance, ensuring that the system can operate efficiently and stably. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0036] Figure 1 It is a schematic diagram of the system structure of the present invention;

[0037] Figure 2 It is a schematic diagram of the module structure of the present invention. DETAILED DESCRIPTION

[0038] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0039] Example: Figure 1-2 As shown, the present invention provides a technical solution, an intelligent monitoring system for the entire life cycle of an anti-seepage curtain, including a sensing module, a transmission module, a data processing module and an application module;

[0040] The sensing module uses a variety of high-precision sensors placed at key locations on the anti-seepage curtain to collect deformation, stress, and permeability data of the curtain material in real time. It also combines environmental monitoring sensors to obtain external conditions that affect the anti-seepage performance.

[0041] The transmission module transmits the data collected by the perception layer to the data processing center through wireless communication technology to ensure the real-time data and the reliability of transmission;

[0042] The data processing module uses big data technology and artificial intelligence algorithms to process, store, analyze and predict models of the collected data. Through data fusion technology, it analyzes the various operating indicators of the anti-seepage curtain, evaluates its health status, and generates a risk warning model based on environmental data to predict the risk of anti-seepage failure in advance and prevent accidents.

[0043] The application module provides a data visualization interface and an intelligent decision-making support platform to monitor the operating status of the anti-seepage curtain in real time. It also provides scientific decision-making support to managers through intelligent algorithms, including equipment maintenance recommendations, system optimization solutions, and emergency plans. The system can also customize early warning threshold settings according to user needs to ensure personalized alarm strategies for different risk conditions.

[0044] According to the above technical solution, high-precision sensors including displacement sensors, stress and strain sensors, osmotic pressure sensors, and temperature and humidity sensors are used to obtain structural design data, monitoring data, and operation and maintenance data;

[0045] Environmental monitoring sensors obtain precipitation and soil moisture, thereby monitoring the deformation of curtain materials. The deformation of the curtain is monitored in real time. The deformation data can help assess whether the anti-seepage layer has cracks, collapses or other structural damage;

[0046] High-precision sensors monitor the stress changes of the curtain under the action of external forces in real time to determine whether the anti-seepage curtain is subjected to pressure exceeding the design range, and thus predict possible damage;

[0047] The seepage pressure sensor detects water seepage in real time, understands the anti-seepage effect of the anti-seepage curtain, and promptly discovers the seepage path and leakage points;

[0048] By combining the internal monitoring data of the anti-seepage curtain, such as deformation, stress, and infiltration, with external environmental data such as groundwater level and meteorological data, a more accurate judgment can be achieved, which helps to determine whether the performance of the anti-seepage curtain has degraded due to external factors.

[0049] According to the above technical solution, the transmission module uses LoRa, 5G, and Zigbee, and enters a dormant state when there is no new data, and wakes up only when data needs to be transmitted;

[0050] For important or sudden data, the transmission module can assign them a higher priority, so that these data can be transmitted to the data processing module first when an exception occurs;

[0051] Edge computing capabilities can be integrated into the transmission module to perform preliminary data preprocessing, anomaly detection and screening, which can reduce the transmission burden, avoid unnecessary data transmission, and ensure the validity of real-time data.

[0052] According to the above technical solution, the data processing module stores monitoring data on the cloud platform, making the data accessible anytime and anywhere. The remote monitoring platform can realize real-time status monitoring of the anti-seepage curtain. Local managers and remote operation and maintenance personnel can monitor and diagnose the operating status of the anti-seepage curtain through the network.

[0053] Data visualization tools provide an intuitive interface to display monitoring data, helping decision makers quickly understand the current status of the anti-seepage curtain and generate reports, analysis results and recommendations based on the data.

[0054] According to the above technical solution, based on the data collected in real time by the sensing module, some monitoring parameters are automatically adjusted to adapt to different environmental conditions. The system can increase the frequency of infiltration monitoring during heavy rain and automatically adjust the alarm threshold when the groundwater level rises;

[0055] By establishing a fault diagnosis model for anti-seepage curtains, potential problems of anti-seepage curtains can be automatically diagnosed based on real-time data, and maintenance suggestions or the required maintenance time can be given based on historical data.

[0056] According to the above technical solution, the data processing module integrates the monitoring data of different sensors to provide accurate real-time feedback on the comprehensive health status of the anti-seepage curtain. Multiple sensors are deployed in an area, and the monitoring data at different locations and depths are integrated to comprehensively evaluate the performance of the anti-seepage curtain in the overall environment.

[0057] Through convolutional neural network technology, image data and sensor data are integrated to enhance the accuracy and comprehensiveness of monitoring;

[0058] A health assessment model supported by multiple sensor data has been developed, which integrates data such as soil moisture, groundwater level, curtain deformation, and stress. The status of the anti-seepage curtain is comprehensively assessed through the AI model to derive a health status score or risk level.

[0059] According to the above technical solution, the data processing module evaluates the health status of the anti-seepage curtain based on various monitoring data, including real-time changes in stress, deformation, and permeability, and generates a health score. For example, a score above 90 may indicate a normal state, while a score below 60 may indicate a serious hidden danger.

[0060] At the same time, AI models analyze historical data to predict the future operating trends of the anti-seepage curtain. If, for example, the deformation rate and permeability continue to increase, the system can issue a warning to alert operation and maintenance personnel to possible failure risks.

[0061] The system can adjust model parameters in real time based on newly collected data and conduct online learning, so that the model remains efficient and accurate in a constantly changing environment.

[0062] According to the above technical solution, the data processing module uses real-time monitoring data to display the current values, historical trends, and warning status of various key indicators on the dashboard. The dashboard can be customized according to different user needs, allowing managers to focus on the most critical indicators;

[0063] The data charts use a variety of chart formats, such as line charts, bar charts, and pie charts, to display the changing trends of monitoring data, helping users to intuitively understand the operating status of the anti-seepage curtain. The data charts can be automatically updated to reflect changes in real-time data.

[0064] Combined with GIS technology, it displays the geographical distribution of anti-seepage curtains and the real-time status of monitoring nodes. Through the map view, users can clearly view the monitoring data of different sensors and analyze the risk situation in different areas;

[0065] By integrating BIM technology, the design drawings, construction information and real-time monitoring data of the anti-seepage curtain are combined in a three-dimensional virtual model to form an intuitive visual interface. Users can monitor the anti-seepage curtain in real time from a 3D perspective and quickly identify potential risk areas.

[0066] According to the above technical solution, the data processing module analyzes the anti-seepage curtain monitoring data, and the intelligent decision-making platform can automatically identify the health status of the equipment and generate maintenance plans for managers based on preset rules or machine learning models.

[0067] According to the above technical solution, the data processing module intelligent platform can intelligently recommend resource optimization solutions based on monitoring data and system operating conditions. The system can also combine environmental conditions and equipment status to provide energy-saving solutions, optimize operating parameters, reduce system energy consumption, and improve the operating efficiency of the anti-seepage curtain.

[0068] Finally, it should be noted that the above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art will be able to modify the technical solutions described in the aforementioned embodiments or substitute equivalents for some of the technical features. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention shall be included within the scope of protection of the present invention.

Claims

1. An intelligent monitoring system for the entire life cycle of anti-seepage curtains, characterized by: Includes perception module, transmission module, data processing module and application module; The sensing module uses a variety of high-precision sensors placed at key locations on the anti-seepage curtain to collect deformation, stress, and permeability data of the curtain material in real time. It also combines environmental monitoring sensors to obtain external conditions that affect the anti-seepage performance. The transmission module transmits the data collected by the perception layer to the data processing center through wireless communication technology; The data processing module uses big data technology and artificial intelligence algorithms to process, store, analyze and predict models of the collected data. Through data fusion technology, it analyzes the various operating indicators of the anti-seepage curtain, evaluates its health status, and generates a risk warning model based on environmental data to predict the risk of anti-seepage failure in advance and prevent accidents. The application module provides a data visualization interface and an intelligent decision-making support platform to monitor the operating status of the anti-seepage curtain in real time, and provides managers with scientific decision-making support through intelligent algorithms, including equipment maintenance recommendations, system optimization plans, and emergency plans. The system can also customize early warning threshold settings according to user needs.

2. The intelligent monitoring system for the entire life cycle of anti-seepage curtain according to claim 1 is characterized in that: The high-precision sensors include displacement sensors, stress and strain sensors, osmotic pressure sensors, and temperature and humidity sensors, which can be used to obtain structural design data, monitoring data, and operation and maintenance data; Environmental monitoring sensors obtain precipitation and soil moisture, thereby obtaining deformation monitoring of curtain materials and monitoring the deformation of the curtain in real time; High-precision sensors monitor the stress changes of the curtain under the action of external forces in real time to determine whether the anti-seepage curtain is subjected to pressure exceeding the design range; The seepage pressure sensor detects water seepage in real time, understands the anti-seepage effect of the anti-seepage curtain, and promptly discovers the seepage path and leakage points; By combining the internal monitoring data of the anti-seepage curtain, such as deformation, stress, and permeability, with the external environmental data, such as groundwater level and meteorological data.

3. The intelligent monitoring system for the entire life cycle of anti-seepage curtain according to claim 1 is characterized in that: The transmission module uses LoRa, 5G, and Zigbee, and enters a dormant state when there is no new data, and wakes up only when data needs to be transmitted; For important or sudden data, the transmission module can assign them a higher priority, so that these data can be transmitted to the data processing module first when an exception occurs; Edge computing capabilities can be integrated into the transmission module to perform preliminary data preprocessing, anomaly detection and screening.

4. The intelligent monitoring system for the entire life cycle of anti-seepage curtain according to claim 1 is characterized in that: The data processing module stores monitoring data on the cloud platform, making the data accessible anytime and anywhere. The remote monitoring platform can monitor the status of the anti-seepage curtain in real time. Both local managers and remote operation and maintenance personnel can monitor and diagnose the operating status of the anti-seepage curtain through the network. Data visualization tools provide an intuitive interface to display monitoring data, helping decision makers quickly understand the current status of the anti-seepage curtain and generate reports, analysis results and recommendations based on the data.

5. The intelligent monitoring system for the entire life cycle of anti-seepage curtain according to claim 4 is characterized in that: Autonomously adjust some monitoring parameters based on the data collected in real time by the perception module; By establishing a fault diagnosis model for anti-seepage curtains, potential problems of anti-seepage curtains can be automatically diagnosed based on real-time data, and maintenance suggestions or the required maintenance time can be given based on historical data.

6. The intelligent monitoring system for the entire life cycle of anti-seepage curtain according to claim 1 is characterized in that: The data processing module integrates monitoring data from different sensors to provide accurate real-time feedback on the comprehensive health status of the anti-seepage curtain; Through convolutional neural network technology, image data and sensor data are integrated to enhance the accuracy and comprehensiveness of monitoring; Develop a health assessment model supported by multiple sensor data.

7. The anti-seepage curtain full life cycle intelligent monitoring system according to claim 6 is characterized in that: The data processing module evaluates the health status of the anti-seepage curtain based on various monitoring data, real-time changes in stress, deformation, and permeability, and generates a health score; At the same time, AI models are used to analyze historical data and predict the future operating trends of the anti-seepage curtain. The system can adjust model parameters in real time and perform online learning based on newly collected data.

8. The intelligent monitoring system for the entire life cycle of anti-seepage curtain according to claim 6 is characterized in that: The data processing module uses real-time monitoring data to display the current values, historical trends, and warning status of key indicators on the dashboard. The dashboard can be customized according to different user needs, allowing managers to focus on the most critical indicators. The data charts use line charts, bar charts, pie charts and other chart formats to show the changing trends of monitoring data, helping users to intuitively understand the operating status of the anti-seepage curtain; Combined with GIS technology, it displays the geographical distribution of anti-seepage curtains and the real-time status of monitoring nodes. Through the map view, users can clearly view the monitoring data of different sensors and analyze the risk situation in different areas; By integrating BIM technology, the design drawings, construction information and real-time monitoring data of the anti-seepage curtain are combined in a three-dimensional virtual model to form an intuitive visual interface.

9. The intelligent monitoring system for the entire life cycle of anti-seepage curtain according to claim 8, characterized in that: The data processing module analyzes the anti-seepage curtain monitoring data, and the intelligent decision-making platform can automatically identify the health status of the equipment and generate a maintenance plan for managers based on preset rules or machine learning models.

10. The intelligent monitoring system for the entire life cycle of anti-seepage curtain according to claim 9 is characterized in that: The data processing module intelligent platform can intelligently recommend resource optimization solutions based on monitoring data and system operating conditions. The system can also combine environmental conditions and equipment status to provide energy-saving solutions, optimize operating parameters, and reduce system energy consumption.

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