Concrete segment leakage monitoring device

Abstract

The invention discloses a concrete segment leakage monitoring device, and relates to the field of concrete segment leakage monitoring. The method comprises the steps that attribute sensors are arranged, signal collection is conducted on the attribute sensors, sensor signals are obtained and preprocessed, concrete segment leakage characteristics are constructed according to the preprocessed sensor signals, and the segment leakage characteristics comprise leakage risk characteristics, crack development characteristics, leakage signal characteristics and segment stability characteristics; inputting the leakage characteristics into a concrete segment leakage monitoring model, and outputting a leakage monitoring value; according to the leakage monitoring value, when the leakage monitoring value is 0, concrete segment leakage does not occur; and when the leakage monitoring value is 1, concrete segment leakage occurs, and an early warning signal is generated for early warning. Through multi-sensor data fusion and an intelligent algorithm, the leakage risk of the concrete segment is monitored in real time, a high-precision early warning function is provided, and the leakage detection precision, the prediction capability and the pipeline safety are effectively improved.

Description

Technical Field

[0001] The present invention relates to the field of leakage monitoring of concrete segments, and particularly to a leakage monitoring device for concrete segments. Background Art

[0002] Concrete segments are important components in modern tunnel, underground pipeline and infrastructure construction, and their quality directly affects the long-term stability and safety of the project. During the operation of the pipeline, due to long-term exposure to environmental factors such as water flow, pressure and temperature changes, concrete segments are prone to problems such as cracks and leakage. These problems not only affect the service life of the pipeline, but may also lead to environmental pollution and safety hazards. Therefore, timely detection of whether the concrete segments are leaking and prediction of the further development of cracks can help maintenance personnel take prompt measures to prevent accidents.

[0003] Currently, traditional methods for detecting leakage in concrete segments mainly rely on manual inspection, visual observation, local physical detection and other means. However, these methods are not only time-consuming and laborious, but also difficult to comprehensively, continuously and accurately monitor the entire pipeline. Therefore, real-time monitoring devices based on sensors have become an effective means to solve this problem.

[0004] To solve these problems, a leakage monitoring device for concrete segments based on multi-sensor fusion is proposed. The device collects various signals of the segments in real time by deploying strain sensors, humidity sensors, temperature sensors, pressure sensors and acoustic sensors, and comprehensively analyzes the signals through intelligent algorithms to extract features related to leakage, such as leakage risk features, crack development features, leakage signal features and segment stability features. By training the model, it predicts whether the concrete segments are leaking, and automatically issues a warning signal when the leakage risk exceeds the threshold, reminding the management personnel to take corresponding prevention and control measures.

[0005] This leakage monitoring method based on multi-sensor fusion and machine learning algorithms has the advantages of high precision, strong real-time performance and high degree of intelligence, and can effectively improve the health monitoring level of concrete segments, reduce the risk of accidents, and enhance the safety and reliability of the project. Summary of the Invention

[0006] Based on the above-mentioned disadvantages of the prior art, the purpose of the present invention is to provide a leakage monitoring device for concrete segments to solve the above technical problems.

[0007] To achieve the above purpose, the present invention provides the following technical solution: A leakage monitoring device for concrete segments, comprising:

[0008] Deploy strain sensors, humidity sensors, temperature sensors, pressure sensors and acoustic sensors, collect signals from each sensor, and obtain sensor signals;

[0009] Preprocess the sensor signals, and construct the leakage characteristics of concrete segments based on the preprocessed sensor signals. Among them, the leakage characteristics of concrete segments include leakage risk characteristics, crack development characteristics, leakage signal characteristics, and segment stability characteristics;

[0010] Input the leakage characteristics of the concrete segment into the trained concrete segment leakage monitoring model to output real-time leakage monitoring values;

[0011] According to the real-time leakage monitoring value, when the real-time leakage monitoring value is 0, no leakage of the concrete segment occurs; when the real-time leakage monitoring value is 1, leakage of the concrete segment occurs, generate a warning signal, and give a warning.

[0012] The present invention is further configured that the sensor signals include: strain, temperature, pressure, humidity, acoustic signal intensity, and temperature change rate of the segment.

[0013] The present invention is further configured to construct the leakage characteristics of the concrete segment according to the preprocessed signal data, including:

[0014] Calculate the leakage risk characteristics according to the pressure, temperature, and humidity;

[0015] Calculate the crack development characteristics according to the strain, temperature, and pressure;

[0016] Calculate the leakage signal characteristics according to the acoustic signal intensity, temperature change rate, and pressure;

[0017] Calculate the segment stability characteristics according to the strain, humidity, temperature, and pressure.

[0018] The present invention is further configured that the calculation logic of the leakage risk characteristics is: Among them, Φ Leak (t) is the leakage risk characteristic, P(t) is the pressure at time t, P0 is the pressure reference value under normal conditions, T(t) is the temperature at time t, T0 is the temperature reference value under normal conditions, and H(t) is the humidity at time t.

[0019] The present invention is further configured that the calculation logic of the crack development characteristics is: Among them, Φ Crack (t) is the crack development characteristic, E(t) is the strain at time t, T(t) is the temperature at time t, P(t) is the pressure at time t, T0 is the temperature reference value under normal conditions, β is the adjustment constant for the influence of pressure, and ∈ is the adjustment constant for temperature T.

[0020] The present invention is further configured such that the calculation logic of the leakage signal feature is as follows: wherein, S ac (t) is the acoustic wave signal intensity at time t, T v (t) is the temperature change rate, P(t) is the pressure at time t, α is the adjustment constant affected by pressure, and δ is the adjustment constant of the temperature change rate.

[0021] The present invention is further configured such that the calculation logic of the segment stability feature is as follows: wherein, Φ Stability (t) is the segment stability feature, E(t) is the strain at time t, H(t) is the humidity at time t, P(t) is the pressure at time t, T(t) is the temperature at time t, T0 is the temperature reference value under normal conditions, and γ and t0 are adjustment constants.

[0022] The present invention is further configured such that the construction logic of the concrete segment leakage monitoring model includes:

[0023] Obtain historical sensor signals and the corresponding concrete segment leakage conditions. The concrete segment leakage conditions include leakage occurring and no leakage occurring. When leakage occurs, the concrete segment leakage monitoring value is 1; when no leakage occurs, the concrete segment leakage monitoring value is 0. Construct the concrete segment leakage monitoring features based on the historical sensor signals, and set the concrete segment leakage monitoring features and the corresponding concrete segment leakage monitoring values as a data set;

[0024] Divide the data set into a training set and a validation set;

[0025] Use the concrete segment leakage monitoring features as inputs and the leakage monitoring values as outputs, and train using a decision tree model. Use the validation set to validate the decision tree model after training is completed;

[0026] Set the decision tree model that passes the validation as the concrete segment leakage monitoring model.

[0027] The present invention also provides a concrete segment leakage monitoring device, and the device includes:

[0028] Data acquisition module: Deploy strain sensors, humidity sensors, temperature sensors, pressure sensors, and acoustic wave sensors to collect signals from each sensor;

[0029] Feature construction module: Preprocess the sensor signals and construct concrete segment leakage features based on the preprocessed signal data. Among them, the concrete segment leakage features include leakage risk features, crack development features, leakage signal features, and segment stability features;

[0030] Training output module: Input the leakage characteristics of the concrete segment into the trained concrete segment leakage monitoring model, and output the real-time leakage monitoring value;

[0031] Early warning module: According to the real-time leakage monitoring value, when the real-time leakage monitoring value is 0, there is no leakage of the concrete segment; when the real-time leakage monitoring value is 1, generate an early warning signal for early warning.

[0032] The present invention provides a concrete segment leakage monitoring device. The method collects signals from various sensors by arranging strain sensors, humidity sensors, temperature sensors, pressure sensors and acoustic sensors to obtain sensor signals; preprocesses the sensor signals, and constructs concrete segment leakage characteristics according to the preprocessed sensor signals. The concrete segment leakage characteristics include leakage risk characteristics, crack development characteristics, leakage signal characteristics and segment stability characteristics; inputs the concrete segment leakage characteristics into the trained concrete segment leakage monitoring model, and outputs the real-time leakage monitoring value; according to the real-time leakage monitoring value, when the real-time leakage monitoring value is 0, there is no leakage of the concrete segment; when the real-time leakage monitoring value is 1, there is leakage of the concrete segment, generate an early warning signal for early warning, and the beneficial effects produced include:

[0033] 1. Improve the accuracy of leakage detection: The present invention uses a combination of multiple sensors including strain sensors, humidity sensors, temperature sensors, pressure sensors and acoustic sensors to monitor the concrete segment in real time, and can comprehensively and accurately capture the changes of the concrete segment. Through the fusion and analysis of multiple sensor signals, the accuracy of leakage detection is significantly improved, avoiding the limitations of traditional single-sensor detection methods;

[0034] 2. Real-time monitoring and early warning: By inputting the sensor signals into the trained concrete segment leakage monitoring model, the leakage monitoring value can be output in real time. When the leakage monitoring value is 1, the system automatically generates an early warning signal to notify relevant personnel for further inspection and processing. This monitoring system based on real-time data can give early warning at the initial stage of the leakage problem, helping managers to discover problems in time and prevent small problems from developing into major accidents, greatly improving the safety of pipeline facilities.

[0035] 3. Multi-feature fusion enhances prediction ability: By fusing and comprehensively analyzing multi-dimensional data such as temperature, humidity, pressure, strain, and acoustic wave, the present invention can reflect the health status of the concrete segment from multiple aspects, not only monitoring the leakage risk, but also analyzing the crack development and segment stability. This monitoring method of multi-feature fusion can achieve a more detailed and comprehensive risk assessment, improving the reliability of leakage prediction.

[0036] The above description is only an overview of the technical solution of this application. In order to better understand the technical means of this application, it can be implemented according to the content of the specification. And in order to make the above and other purposes, features and advantages of this application more obvious and understandable, the following specific embodiments of this application are specifically given. Description of the Drawings

[0037] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings. In the drawings:

[0038] Figure 1 It is a flowchart of a concrete segment leakage monitoring device shown in an exemplary embodiment of the present invention;

[0039] Figure 2 It is a schematic structural diagram of a concrete segment leakage monitoring device shown in an exemplary embodiment of the present invention. Detailed Embodiments

[0040] The following will illustrate the embodiments of the present invention with reference to the drawings and preferred embodiments. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments. Various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be understood that the preferred embodiments are only for explaining the present invention, rather than for limiting the protection scope of the present invention.

[0041] It should be noted that the diagrams provided in the following embodiments only schematically illustrate the basic concept of the present invention. Therefore, only the components related to the present invention are shown in the diagrams, rather than being drawn according to the number, shape and size of the components in actual implementation. The type, quantity and ratio of each component in its actual implementation can be arbitrarily changed, and the component layout type may also be more complex.

[0042] In the following description, a large number of details are discussed to provide a more thorough explanation of the embodiments of the present invention. However, it is obvious to those skilled in the art that the embodiments of the present invention can be implemented without these specific details. In other embodiments, well-known structures and devices are shown in the form of block diagrams rather than in detail to avoid making the embodiments of the present invention difficult to understand.

[0043] Embodiment 1

[0044] A concrete segment leakage monitoring device, as Figure 1 shown, includes:

[0045] Strain sensors, humidity sensors, temperature sensors, pressure sensors and acoustic wave sensors are arranged to collect signals from each sensor and obtain sensor signals;

[0046] Preprocess the sensor signals and construct concrete segment leakage characteristics based on the preprocessed sensor signals. Among them, the concrete segment leakage characteristics include leakage risk characteristics, crack development characteristics, leakage signal characteristics and segment stability characteristics;

[0047] Input the concrete segment leakage characteristics into a trained concrete segment leakage monitoring model to output real-time leakage monitoring values;

[0048] According to the real-time leakage monitoring value, when the real-time leakage monitoring value is 0, there is no leakage of the concrete segment; when the real-time leakage monitoring value is 1, there is leakage of the concrete segment, generate an early warning signal and give an early warning.

[0049] The present invention is further configured that the sensor signals include: the strain, temperature, pressure, humidity, acoustic wave signal intensity and temperature change rate of the segment. Specifically, the strain sensor is used to measure the deformation or crack development of the concrete segment to obtain strain signals; the humidity sensor is used to detect the humidity change on the surface of the segment or the surrounding environment to help judge whether there is water penetration and then infer the leakage situation; the temperature sensor is used to monitor the temperature change of the segment and the surrounding environment, and abnormal temperature may indicate leakage or other structural problems; the pressure sensor is used to monitor the pressure change inside the pipeline, and abnormal pressure may be related to leakage, cracks or other faults; the acoustic wave sensor is used to detect the acoustic wave signals caused by leakage or cracks, and usually an acoustic anomaly at the leakage point or the sound generated by structural rupture will be sensed.

[0050] The present invention is further configured to construct concrete segment leakage characteristics according to the preprocessed signal data, including:

[0051] Calculate the leakage risk characteristics according to the pressure, temperature and humidity. Specifically, according to the pressure, temperature and humidity data collected by the sensors, the leakage risk of the concrete segment is evaluated by comprehensively considering these three parameters. Leakage is usually accompanied by changes in temperature and humidity and changes in the internal pressure of the segment. Therefore, the values of these three sensors can interact with each other to jointly judge the probability of leakage occurrence;

[0052] Calculate the crack development characteristics based on the strain, temperature, and pressure. Specifically, calculate the development characteristics of cracks based on strain, temperature, and pressure. The strain of a concrete structure is usually closely related to the appearance and development of cracks. Changes in temperature and pressure may cause the expansion of microcracks on the surface of the segment;

[0053] Calculate the leakage signal characteristics based on the acoustic wave signal intensity, temperature change rate, and pressure. Specifically, combine the acoustic wave signal intensity, temperature change rate, and pressure to calculate the characteristics of the leakage signal. The acoustic wave sensor can detect the acoustic wave signals of cracks or leakage, while the temperature change rate and pressure are used to further verify and enhance the accuracy of the signals;

[0054] Calculate the segment stability characteristics based on the strain, humidity, temperature, and pressure. Specifically, this characteristic combines data from four dimensions: strain, humidity, temperature, and pressure, and is used to evaluate the overall stability of the segment. The stability of the segment reflects whether there is excessive deformation or other structural damage in the segment.

[0055] The present invention is further configured such that the calculation logic of the leakage risk characteristics is: wherein, Φ Leak (t) is the leakage risk characteristic, P(t) is the pressure at time t, P0 is the pressure reference value under normal conditions, T(t) is the temperature at time t, T0 is the temperature reference value under normal conditions, H(t) is the humidity at time t. Specifically, (P(t) - P0) is the difference between the current pressure of the segment and the pressure reference value under normal conditions. Excessive pressure fluctuations usually mean that the segment is in an unstable state, which may increase the risk of leakage. T(t) - T0 is the difference between the current temperature of the segment and the temperature reference value under normal conditions. Temperature fluctuations also affect the expansion and contraction of concrete. The greater the temperature difference, the more severe the stress and deformation of the segment may be, thereby increasing the risk of leakage. If the deviations of both pressure and temperature increase simultaneously, the leakage risk will increase sharply. H(t) reflects the humidity of the surrounding environment. A high-humidity environment may accelerate the aging, corrosion of concrete, or cause water penetration, thereby increasing the risk of leakage. To avoid the situation of division by zero when the humidity is zero, a constant 1 is added to the humidity. In the formula, the numerator part reflects the influence of pressure and temperature on the leakage risk. The greater the deviation, the greater the possibility of leakage; the denominator part adjusts the leakage risk through the change in humidity and smooths the special case of zero humidity through the operation of adding 1 to ensure the stability of the calculation result. By combining pressure, temperature, and humidity, the formula can evaluate the leakage risk of concrete segments from multiple angles and comprehensively, avoiding the incompleteness of risk assessment caused by a single factor.

[0056] The present invention is further configured such that the calculation logic of the crack development characteristics is: Among them, Φ Crack (t) is the crack development characteristic, E(t) is the strain at time t, T(t) is the temperature at time t, P(t) is the pressure at time t, T0 is the temperature reference value under normal conditions, β is the adjustment constant for the pressure effect, ∈ is the adjustment constant for the temperature T. Specifically, this formula is used to calculate the crack development characteristic, comprehensively considering the effects of strain, temperature change, and pressure on crack development. Crack development is usually affected by multiple factors, among which temperature, pressure, and strain are common key factors. Strain is a direct indicator of crack development. When the concrete segment is affected by external pressure, temperature change, and other factors, strain will be generated, which will in turn affect the crack propagation. The greater the strain, the higher the risk of crack propagation. This formula can effectively simulate the interaction of pressure, temperature, and strain and their combined effects on crack development, reflecting the complexity of crack evolution, improving the prediction ability of crack occurrence, discovering potential problems early, and avoiding sudden accidents. Through accurate crack assessment, managers can take more targeted measures, such as regular inspections and strengthening, to improve the long-term stability and safety of the pipeline.

[0057] The present invention is further configured such that the calculation logic of the leakage signal characteristic is: Among them, Φ LeakSignal (t) is the leakage signal characteristic, S ac (t) is the acoustic wave signal intensity at time t, T v (t) is the temperature change rate, P(t) is the pressure at time t, α is the adjustment constant for the pressure effect, δ is the adjustment constant for the temperature change rate. Specifically, this formula is used to calculate the leakage signal characteristic of the concrete segment, and reflects the leakage situation by combining the acoustic wave signal intensity, temperature change rate, and pressure. The acoustic wave signal intensity refers to the signal intensity value obtained by the acoustic wave sensor, which is used to indicate whether there is leakage in the segment. By calculating the speed of temperature change per unit time, it reflects the thermal expansion or contraction of the segment. The temperature change rate usually has abnormal fluctuations when leakage occurs. The acoustic wave signal intensity S ac (t) is the core part of the leakage signal characteristic. Leakage will cause the water flow in the crack to pass through, thus generating a changing acoustic wave signal. A larger S ac (t) indicates that there may be serious leakage problems. The temperature change rate T v (t) is the speed of temperature change. Usually, when leakage occurs, there will be large temperature fluctuations. Because after the external water infiltrates into the segment, the temperature of the water may be quite different from the temperature of the segment, resulting in abnormal temperature change rate. By combining these three sensor signals of acoustic wave signal intensity, temperature change rate, and pressure, the state of the concrete segment can be analyzed more comprehensively, the leakage situation can be accurately identified, and the possibility of misjudgment due to the abnormality of a single factor can be reduced.

[0058] The present invention is further configured such that the calculation logic of the segment stability characteristic is as follows: Wherein, Φ Stability (t) is the segment stability characteristic, E(t) is the strain at time t, H(t) is the humidity at time t, P(t) is the pressure at time t, T(t) is the temperature at time t, T0 is the temperature reference value under normal conditions, and γ and t0 are adjustment constants. Specifically, represents the relationship between the strain of the segment, humidity, and pressure. Strain and humidity will affect the deformation and strength of the concrete segment, but the pressure effect is a reverse adjustment effect because excessive pressure may cause the segment to deform or fail. reflects the influence of temperature change on the segment stability. The temperature change has a non-linear influence on the stability of the concrete segment. The higher the temperature, the greater the expansion and stress change of the concrete, so the stability of the segment is more affected. exp(-γ(t - t0)) is used to gradually introduce the influence of temperature over time, which means that the influence of temperature change on the segment stability increases gradually over time. The adjustment constant γ determines the change rate of the temperature influence, and t0 is the starting time of the temperature response to the segment stability.

[0059] The present invention is further configured such that the construction logic of the concrete segment leakage monitoring model includes:

[0060] Obtain historical sensor signals and the corresponding concrete segment leakage conditions. The concrete segment leakage conditions include leakage occurring and no leakage occurring. When leakage occurs, the concrete segment leakage monitoring value is 1; when no leakage occurs, the concrete segment leakage monitoring value is 0. Construct the concrete segment leakage monitoring characteristics based on the historical sensor signals, and set the concrete segment leakage monitoring characteristics and the corresponding concrete segment leakage monitoring values as a data set;

[0061] Divide the data set into a training set and a validation set;

[0062] Use the concrete segment leakage monitoring characteristics as the input and the leakage monitoring value as the output, and train using a decision tree model. Use the validation set to verify the decision tree model after training is completed;

[0063] Set the decision tree model that passes the verification as the concrete segment leakage monitoring model.

[0064] Embodiment 2

[0065] Please refer to Figure 2 , an exemplary concrete segment leakage monitoring device includes:

[0066] Data acquisition module: Strain sensors, humidity sensors, temperature sensors, pressure sensors, and acoustic wave sensors are arranged to collect signals from each sensor;

[0067] Feature construction module: Preprocess the sensor signals and construct the leakage characteristics of concrete segments based on the preprocessed signal data. Among them, the leakage characteristics of concrete segments include leakage risk characteristics, crack development characteristics, leakage signal characteristics, and segment stability characteristics;

[0068] Training and output module: Input the leakage characteristics of concrete segments into the trained concrete segment leakage monitoring model and output real-time leakage monitoring values;

[0069] Early warning module: According to the real-time leakage monitoring value, when the real-time leakage monitoring value is 0, there is no leakage of concrete segments; when the real-time leakage monitoring value is 1, generate an early warning signal for early warning.

[0070] It should be noted that a concrete segment leakage monitoring device provided in the above embodiment and a concrete segment leakage monitoring device provided in the above embodiment belong to the same concept. The specific ways in which each module and unit perform operations have been described in detail in the method embodiment and will not be repeated here. In actual application, a concrete segment leakage monitoring device provided in the above embodiment can allocate the above functions to different functional modules as needed, that is, divide the internal structure of the system into different functional modules to complete all or part of the functions described above, and this will not be limited here either.

[0071] The above embodiments can be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the processes or functions described in the embodiments of the present application are generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (such as infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or a data center that contains one or more collections of available media. The available medium can be a magnetic medium (such as a floppy disk, a hard disk, a magnetic tape), an optical medium (such as a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state drive.

[0072] It should be understood that the term "and / or" in this document is merely a description of the association relationship between associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist simultaneously, and B exists alone. Here, A and B can be singular or plural. In addition, the character " / " in this document generally represents an "or" relationship between the associated objects before and after, but it may also represent an "and / or" relationship, which can be specifically understood with reference to the context.

[0073] In this application, "at least one" means one or more, and "a plurality" means two or more. "At least one of the following" or its similar expressions refer to any combination of these items, including any combination of single items or plural items. For example, at least one of a, b, or c can represent: a, b, c, a - b, a - c, b - c, or a - b - c, where a, b, and c can be single or multiple.

[0074] It should be understood that in various embodiments of the present application, the sequence numbers of the above processes do not imply the order of execution. The order of execution of each process should be determined by its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.

[0075] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of this application.

[0076] Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes of the systems, devices, and units described above can refer to the corresponding processes in the foregoing method embodiments, and will not be described herein again.

[0077] In several embodiments provided in this application, it should be understood that the disclosed system can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units is only a logical function division, and there may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed couplings or direct couplings or communication connections to each other can be through some interfaces, and the indirect couplings or communication connections of the devices or units can be in electrical, mechanical, or other forms.

[0078] The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0079] In addition, the functional units in each embodiment of this application can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit.

[0080] When the above-mentioned functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art or a part of this 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 causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of this application. The aforementioned storage medium includes: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical discs.

[0081] As described above, the above is only the specific implementation manner of this application, but the protection scope of this application is not limited thereto. Any person skilled in the art within the technical scope disclosed by this application can easily think of changes or substitutions, which should all be covered within the protection scope of this application. Therefore, the protection scope of this application should be subject to the protection scope of the claims.

Claims

1. A leakage monitoring device for concrete segments, characterized in that, Including: Deploy strain sensors, humidity sensors, temperature sensors, pressure sensors and acoustic wave sensors, collect signals from each sensor, and obtain sensor signals; Preprocess the sensor signals, and construct the leakage characteristics of concrete segments based on the preprocessed sensor signals. Among them, the leakage characteristics of concrete segments include leakage risk characteristics, crack development characteristics, leakage signal characteristics and segment stability characteristics; Input the leakage characteristics of the concrete segment into the trained concrete segment leakage monitoring model, and output the real-time leakage monitoring value; According to the real-time leakage monitoring value, when the real-time leakage monitoring value is 0, there is no leakage of the concrete segment; when the real-time leakage monitoring value is 1, there is leakage of the concrete segment, generate a warning signal and give a warning.

2. The leakage monitoring device for concrete segments according to claim 1, characterized in that, The sensor signals include: the strain, temperature, pressure, humidity, acoustic wave signal intensity and temperature change rate of the segment.

3. The leakage monitoring device for concrete segments according to claim 2, wherein Construct the leakage characteristics of the concrete segment according to the preprocessed signal data, including: Calculate the leakage risk characteristics according to the pressure, temperature and humidity; Calculate the crack development characteristics according to the strain, temperature and pressure; Calculate the leakage signal characteristics according to the acoustic wave signal intensity, temperature change rate and pressure; Calculate the segment stability characteristics according to the strain, humidity, temperature and pressure.

4. The leakage monitoring device for concrete segment according to claim 3, wherein, The calculation logic of the leakage risk characteristics is as follows: Among them, Φ Leak (t) is the leakage risk characteristic, P(t) is the pressure at time t, P0 is the pressure reference value under normal conditions, T(t) is the temperature at time t, T0 is the temperature reference value under normal conditions, and H(t) is the humidity at time t.

5. The leakage monitoring device for concrete segments according to claim 3, characterized in that, The calculation logic of the crack development characteristics is as follows: where, Φ Crack (t) is the crack development characteristic, E(t) is the strain at time t, T(t) is the temperature at time t, P(t) is the pressure at time t, T0 is the temperature reference value under normal conditions, β is the adjustment constant for the pressure effect, and ∈ is the adjustment constant for the temperature T.

6. The leakage monitoring device for concrete segments according to claim 3, characterized in that, The calculation logic of the leakage signal feature is as follows: Among them, Φ LeakSignal (t) is the leakage signal feature, S ac (t) is the acoustic wave signal intensity at time t, T v (t) is the temperature change rate, P(t) is the pressure at time t, α is the adjustment constant affected by pressure, and δ is the adjustment constant of the temperature change rate.

7. The leakage monitoring device for concrete segment according to claim 3, characterized in that, The calculation logic of the segment stability characteristics is as follows: where Φ Stability (t) is the segment stability characteristic, E(t) is the strain at time t, H(t) is the humidity at time t, P(t) is the pressure at time t, T(t) is the temperature at time t, T0 is the temperature reference value under normal conditions, and γ and t0 are adjustment constants.

8. The leakage monitoring device for concrete segment according to claim 3, wherein The construction logic of the concrete segment leakage monitoring model includes: Obtain historical sensor signals and the corresponding leakage conditions of the concrete segment. The leakage conditions of the concrete segment include leakage and no leakage. When there is leakage, the concrete segment leakage monitoring value is 1; when there is no leakage, the concrete segment leakage monitoring value is 0. Construct the leakage monitoring characteristics of the concrete segment according to the historical sensor signals, and set the leakage monitoring characteristics of the concrete segment and the corresponding concrete segment leakage monitoring value as the data set; Divide the data set into a training set and a validation set; Use the leakage monitoring characteristics of the concrete segment as the input and the leakage monitoring value as the output, and use the decision tree model for training. Use the validation set to verify the decision tree model after training; Set the decision tree model after passing the verification as the concrete segment leakage monitoring model.

9. A leakage monitoring device for concrete segments, which is used to implement the leakage monitoring device for concrete segments according to any one of claims 1-8, and is characterized in that, Including: Data acquisition module: Deploy strain sensors, humidity sensors, temperature sensors, pressure sensors, acoustic wave sensors, and collect signals from each sensor; Feature construction module: Preprocess the sensor signals, and construct the leakage characteristics of the concrete segment according to the preprocessed signal data. Among them, the leakage characteristics of the concrete segment include leakage risk characteristics, crack development characteristics, leakage signal characteristics, segment stability characteristics; Training and output module: Input the leakage characteristics of the concrete segment into the trained concrete segment leakage monitoring model, and output the real-time leakage monitoring value; Warning module: According to the real-time leakage monitoring value, when the real-time leakage monitoring value is 0, there is no leakage of the concrete segment; when the real-time leakage monitoring value is 1, generate a warning signal and give a warning.

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