Operation and maintenance monitoring system for preventing water leakage of fabricated building

Abstract

The invention discloses an operation and maintenance monitoring system for preventing water leakage of a fabricated building, and relates to the technical field of operation and maintenance monitoring of water leakage of buildings, the operation and maintenance monitoring system comprises a leakage data acquisition module, a leakage data processing module, a leakage monitoring module and a building leakage prevention monitoring module, the leakage data acquisition module is used for acquiring building engineering data; the leakage data processing module is used for acquiring a bearing layer bearing index, a foundation stability index, a retaining wall expansion joint distance safety index and a concrete cracking degree; according to the method, a nucleon density acquisition technology, a time domain reflection acquisition technology, an ultrasonic technology, a laser ranging technology, a data preprocessing technology, a model construction technology and a modern information technology are closely combined, so that real-time and comprehensive monitoring on the water leakage of the building is achieved; and the intelligent degree in the operation and maintenance monitoring process for preventing the water leakage of the fabricated building is obviously enhanced.

Description

Technical Field

[0001] The present invention relates to the technical field of building water leakage operation and maintenance monitoring, and in particular to an operation and maintenance monitoring system for preventing water leakage in assembled buildings. Background Art

[0002] The Chongqing East Station Front Area Project involves a variety of complex building forms, among which prefabricated buildings have many nodes and complex connections, and the hidden danger of water leakage is prominent. In actual projects, leakage of the outer walls of prefabricated buildings is relatively common. Affected by the natural environment and construction quality, leakage problems are very likely to occur, affecting the normal use and structural safety of the building. Traditional water leakage detection mainly relies on manual regular inspections, which is inefficient and subjective. It is difficult to achieve real-time monitoring and early warning, and it is impossible to timely discover and deal with leakage hazards. With the development of construction technology, the requirements for water leakage prevention in prefabricated buildings are getting higher and higher. An efficient and intelligent prefabricated building water leakage prevention operation and maintenance monitoring system has emerged. It aims to use advanced sensor technology, data transmission and processing technology to achieve real-time and comprehensive monitoring of water leakage in prefabricated buildings, timely discover and warn of leakage risks, and provide accurate decision-making basis for operation and maintenance personnel, thereby effectively preventing the occurrence of water leakage problems and ensuring the waterproof performance and service life of the building; Although the existing technology has made great progress in the operation and maintenance monitoring direction of building leakage prevention, there are still some problems that need to be optimized. The existing operation and maintenance monitoring system for the prevention of water leakage in prefabricated buildings is difficult to comprehensively analyze multiple building engineering factors, and then accurately monitor the water leakage of the building and issue early warning signals, resulting in poor effect in preventing water leakage in the building. Summary of the invention

[0003] The object of the present invention is to provide an operation and maintenance monitoring system for preventing water leakage in an assembled building, so as to solve the problems raised in the above-mentioned background technology.

[0004] In order to solve the above technical problems, the technical solution adopted by the present invention is: an operation and maintenance monitoring system for preventing water leakage in assembled buildings, comprising a leakage data acquisition module, a leakage data processing module, a leakage monitoring module and a building leakage prevention monitoring module, wherein each module is communicatively connected; The leakage data acquisition module uses data acquisition equipment to obtain building engineering data, providing data support for monitoring the water leakage of the building; The leakage data processing module is divided into a bearing layer geotechnical unit, a groundwater level unit, a retaining wall expansion joint spacing unit and a concrete temperature unit, wherein the bearing layer geotechnical unit, the groundwater level unit, the retaining wall expansion joint spacing unit and the concrete temperature unit are used to obtain the bearing layer bearing index, the foundation stability index, the retaining wall expansion joint spacing safety index and the concrete cracking degree respectively; The leakage monitoring module constructs a building leakage monitoring model using a convolutional neural network. The building leakage prevention and monitoring module analyzes the engineering data of the building, evaluates the risk of building leakage, and takes preventive measures.

[0005] A further improvement of the technical solution of the present invention lies in that: the process of the leakage data acquisition module obtaining the engineering data of the building using data acquisition equipment includes: The data acquisition equipment includes a nuclear densitometer, a time domain reflectometer, a pressuremeter, a direct shear apparatus, an ultrasonic water level gauge, a laser rangefinder, and a thermocouple thermometer; the engineering data of the building are the geotechnical physical and mechanical data of the bearing stratum, the groundwater level data, the spacing of the expansion joints of the building retaining wall, and the concrete temperature of the building.

[0006] A further improvement of the technical solution of the present invention lies in that: the process of the leakage data acquisition module obtaining the geotechnical physical and mechanical data of the bearing stratum and the groundwater level data includes: The geotechnical physical and mechanical data of the bearing stratum include the soil density, soil water content, soil compression modulus, and soil shear strength of the geotechnical material of the bearing stratum; the groundwater level data is the groundwater level of the building. Use a nuclear densitometer. The nuclear densitometer uses the rays emitted by radioactive elements to interact with the soil, and calculates the soil density of the geotechnical material of the bearing stratum according to the degree of ray attenuation. Send a high-frequency electrical pulse to the soil of the bearing stratum through a time domain reflectometer, determine the dielectric constant of the soil of the bearing stratum according to the propagation time of the high-frequency electrical pulse in the soil, and calculate the soil water content of the geotechnical material of the bearing stratum. Drill a hole in the geotechnical material of the bearing stratum, place an elastic membrane in the hole, use a pressuremeter to pressurize the elastic membrane, the geotechnical material of the bearing stratum around the hole deforms, and calculate and obtain the soil compression modulus of the geotechnical material of the bearing stratum according to the relationship between the pressure and the deformation. Collect soil samples of the geotechnical material of the bearing stratum, use a direct shear apparatus, and measure the shear strength of the geotechnical material of the bearing stratum by applying vertical pressure and horizontal shear force to the soil samples of the geotechnical material of the bearing stratum. Use an ultrasonic water level gauge to emit ultrasonic waves to the groundwater surface of the building. The ultrasonic waves are reflected back when they encounter the groundwater surface. Calculate and obtain the groundwater level of the building according to the difference between the ultrasonic wave emission time and the reception time, combined with the propagation speed of the ultrasonic wave in the air.

[0007] A further improvement of the technical solution of the present invention lies in that: the process of the leakage data acquisition module obtaining the spacing of the expansion joints of the building retaining wall and the concrete temperature of the building includes: The concrete temperature data of the building include the internal temperature and the surface temperature of the building concrete. Use a laser rangefinder to emit a laser beam from one side of the expansion joint of the building retaining wall. The laser beam is reflected when it encounters the other side of the expansion joint of the building retaining wall, and the laser rangefinder receives the reflected laser beam. According to the round-trip time of the laser beam and the speed of light, calculate and obtain the expansion distance of the retaining wall of the building. Use a thermocouple thermometer to collect the internal temperature and surface temperature of the building concrete based on the thermoelectric effect.

[0008] A further improvement of the technical solution of the present invention lies in that: for the bearing layer geotechnical unit, the process of obtaining the bearing layer bearing index by using the physical and mechanical data of the bearing layer geotechnical includes: Perform data cleaning and Z-score standardization processing on the physical and mechanical data of the bearing layer geotechnical to obtain the soil density, soil water content, soil compression modulus, and soil shear strength of the bearing layer geotechnical after Z-score standardization processing. Through the analytic hierarchy process, obtain the weights of the soil density, soil water content, soil compression modulus, and soil shear strength of the bearing layer geotechnical, and the process of calculating the bearing layer bearing index is as follows: Where I is the bearing layer bearing index, , , and are the weights of the soil density, soil water content, soil compression modulus, and soil shear strength of the bearing layer geotechnical respectively, , , and are the soil density, soil water content, soil compression modulus, and soil shear strength of the bearing layer geotechnical after Z-score standardization processing respectively.

[0009] A further improvement of the technical solution of the present invention lies in that: for the groundwater level unit, the process of obtaining the foundation stability index by using the groundwater level data includes: Perform data cleaning on the groundwater level data, set the warning groundwater level threshold and the dangerous groundwater level threshold, assign weights to the building's groundwater level, obtain the warning groundwater level threshold weight and the dangerous groundwater level threshold weight, and the process of calculating the foundation stability index is as follows: Where M is the foundation stability index, and are the influence coefficients, h is the real-time groundwater level of the building, is the highest groundwater level of the building, and are the warning groundwater level threshold and the dangerous groundwater level threshold respectively, and They are the warning groundwater level threshold weight and the dangerous groundwater level threshold weight respectively.

[0010] A further improvement of the technical solution of the present invention lies in that: for the retaining wall expansion joint spacing unit, the process of obtaining the safety index of the retaining wall expansion joint spacing by using the expansion joint spacing of the building body includes: Clean the data of the expansion joint spacing of the retaining wall of the building body, and set the maximum threshold and the minimum threshold of the expansion joint spacing of the retaining wall of the building body according to the building structure design specifications; Adopt the linear ratio method, and the process of calculating the safety index of the retaining wall expansion joint spacing is: Among them, S is the safety index of the retaining wall expansion joint spacing, is the expansion joint spacing of the retaining wall of the actual building body, and are the maximum threshold and the minimum threshold of the expansion joint spacing of the retaining wall of the building body respectively.

[0011] A further improvement of the technical solution of the present invention lies in that: for the concrete temperature unit, the process of obtaining the degree of concrete cracking by using the concrete temperature of the building body includes: According to the influence of the temperature difference between the surface and the inside of the concrete on the degree of concrete cracking, set the threshold of the temperature difference between the inside temperature and the surface temperature of the concrete of the building body, and the process of obtaining the degree of concrete cracking is: Among them, T is the degree of concrete cracking, is the temperature difference between the inside temperature and the surface temperature of the concrete of the building body, is the threshold of the temperature difference between the inside temperature and the surface temperature of the concrete of the building body, and are the inside temperature of the concrete of the building body and the surface temperature of the concrete respectively.

[0012] A further improvement of the technical solution of the present invention lies in that: for the leakage monitoring module, the process of constructing the building body leakage monitoring model includes: Construct a neural network model, use the geotechnical physical and mechanical data of the bearing stratum and the bearing index of the bearing stratum, the groundwater level data and the foundation stability index, the expansion joint spacing of the retaining wall of the building body and the safety index of the retaining wall expansion joint spacing, and the concrete temperature of the building body and the degree of concrete cracking as the data set, divide it into a training set and a test set according to the ratio of 7:3, select MLP as the neural network structure, the input layer includes four neurons to receive the building body engineering data, the hidden layer is configured with the MSE function, and the output layer includes four neurons to output the bearing index of the bearing stratum, the foundation stability index, the safety index of the retaining wall expansion joint spacing and the degree of concrete cracking; Input the training set data into the neural network model, set the learning rate to 0.01, and the number of iterative training times to 1000. The training process includes forward propagation and backward propagation. Among them, forward propagation is used to calculate the predicted output data, and backward propagation is used to update the weights and biases of the model. By repeating the iterative training, learn the nonlinear relationships between the geotechnical physical and mechanical data of the bearing stratum and the bearing index of the bearing stratum, the nonlinear relationship between the groundwater level data and the foundation stability index, the nonlinear relationship between the expansion joint spacing of the retaining wall of the building body and the safety index of the expansion joint spacing of the retaining wall, and the nonlinear relationship between the concrete temperature of the building body and the degree of concrete cracking, until the set number of iterative training times is reached, and obtain the trained neural network model; Input the test set data into the trained neural network model, use the MSE function to evaluate the error between the output value and the actual value of the neural network model, adjust the parameters of the neural network model according to the evaluation results, optimize the performance of the neural network model, and obtain the building leakage monitoring model.

[0013] A further improvement of the technical solution of the present invention lies in that: the process of the building leakage prevention monitoring module for evaluating the building leakage risk and taking preventive measures includes: Combined with the building leakage monitoring model, analyze the engineering data of the building body. When the bearing index of the bearing stratum is greater than 0.8, the building leakage is a low risk. Continuously monitor the geotechnical physical and mechanical data of the bearing stratum of the building body, and regularly inspect the waterproof facilities; when the bearing index of the bearing stratum is between 0.4 and 0.8, the building leakage is a medium risk. Increase the monitoring frequency of the geotechnical physical and mechanical data of the bearing stratum of the building body, issue a bearing capacity warning signal for the bearing stratum, and formulate a waterproof strengthening plan; when the bearing index of the bearing stratum is less than 0.4, the building leakage is a high risk. Issue an emergency signal for the bearing capacity of the bearing stratum, and take support measures for the building body; When the foundation stability index is greater than 0.7, the building leakage is a low risk. Regularly inspect the waterproof coating of the building body, continuously monitor the groundwater level of the building body, and strengthen the maintenance of the drainage device; when the foundation stability index is between 0.5 and 0.7, the building leakage is a medium risk. Issue a foundation warning signal, conduct structural inspection and waterproof performance inspection on the building body, and carry out waterproof repair in combination with the inspection results; when the foundation stability index is less than 0.5, the building leakage is a high risk. Issue an emergency signal for the foundation, stop the construction activities that affect the foundation stability, reinforce the foundation of the building body, and repair the building structure; When the safety index of the expansion joint spacing of the retaining wall is greater than 0.9, the building body has a low risk of water seepage. Continuously monitor the expansion joint spacing of the building body retaining wall, check the waterproof sealing condition around the expansion joint, and repair the expansion joint according to the inspection results. When the safety index of the expansion joint spacing of the retaining wall is between 0.7 and 0.9, the building body has a medium risk of water seepage. Send out a warning signal for the expansion joint spacing of the retaining wall, conduct a comprehensive inspection of the expansion joint, and formulate and implement a targeted plan according to the inspection results. When the safety index of the expansion joint spacing of the retaining wall is less than 0.7, the building body has a high risk of water seepage. Send out an emergency signal for the expansion joint spacing of the retaining wall and conduct emergency repair of the expansion joint. When the degree of concrete cracking is less than 0.8, the building body has a low risk of water seepage. Mark and monitor the concrete cracks of the building body, and repair the cracked concrete with epoxy resin glue. When the degree of concrete cracking is between 0.6 and 0.8, the building body has a medium risk of water seepage. Send out a warning signal for concrete cracking, adjust the concrete temperature, and conduct pressure grouting treatment on the concrete cracks. When the degree of concrete cracking is less than 0.6, the building body has a high risk of water seepage. Send out an emergency signal for concrete cracking, check the building body concrete, and repair the cracked part by re-pouring concrete.

[0014] The beneficial effects of the present invention are as follows: In the operation and maintenance monitoring system for preventing water seepage of a prefabricated building body of the present invention, compared with the traditional operation and maintenance monitoring system for preventing water seepage of a prefabricated building body, the nuclear density acquisition technology, time domain reflectometry acquisition technology, ultrasonic technology, laser ranging technology, data preprocessing technology, model construction technology and modern information technology in the method of the present invention are closely combined to accurately capture the geotechnical physical and mechanical data of the bearing stratum, groundwater level data, expansion joint spacing data of the retaining wall and the concrete temperature data of the building body. Furthermore, the bearing index of the bearing stratum, foundation stability index, safety index of the expansion joint spacing of the retaining wall and the degree of concrete cracking are obtained, achieving real-time and comprehensive monitoring of the water seepage of the building body. By constructing a water seepage monitoring model of the building body and learning the non-linear relationship between the engineering data of the building body and the bearing index of the bearing stratum, foundation stability index, safety index of the expansion joint spacing of the retaining wall and the degree of concrete cracking, the problem that the existing operation and maintenance monitoring system for preventing water seepage of a prefabricated building body cannot combine multiple building engineering factors to monitor the water seepage situation of the building body and issue a warning signal, resulting in poor water seepage prevention effect of the building body, is solved. Ensure that the system in the present invention can refine the dynamic monitoring standard for preventing water seepage of the building body in a more accurate range, making the monitored data a more accurate index under the same conditions. The research and application of this method significantly enhance the degree of intelligence in the operation and maintenance monitoring process of preventing water seepage of prefabricated building bodies. Description of the Drawings

[0015] To more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the accompanying drawings required in the embodiments. Obviously, the accompanying drawings in the following description are only some embodiments recorded in the present invention. For those of ordinary skill in the art, other accompanying drawings can also be obtained based on these drawings.

[0016] Figure 1 It is a block diagram of an operation and maintenance monitoring system for preventing water leakage in an assembled building body of the present invention. Specific embodiments

[0017] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts fall within the protection scope of the present invention.

[0018] As Figure 1 shown, the present invention provides an operation and maintenance monitoring system for preventing water leakage in an assembled building body, including a leakage data acquisition module, a leakage data processing module, a leakage monitoring module, and a building leakage prevention monitoring module. Among them, each module is communicatively connected; The leakage data acquisition module uses data acquisition equipment to obtain building engineering data, providing data support for monitoring the water leakage situation of the building body; The leakage data processing module is divided into a bearing layer geotechnical unit, a groundwater level unit, a retaining wall expansion joint spacing unit, and a concrete temperature unit. Among them, the bearing layer geotechnical unit, the groundwater level unit, the retaining wall expansion joint spacing unit, and the concrete temperature unit are respectively used to obtain the bearing index of the bearing layer, the foundation stability index, the safety index of the retaining wall expansion joint spacing, and the degree of concrete cracking; The leakage monitoring module uses a convolutional neural network to construct a building water leakage monitoring model; The building leakage prevention monitoring module analyzes the building engineering data, evaluates the water leakage risk of the building body, and takes preventive measures.

[0019] Preferably, the process of the leakage data acquisition module using data acquisition equipment to obtain building engineering data includes: Among them, the data acquisition equipment includes a nuclear densitometer, a time domain reflectometer, a pressuremeter, a direct shear apparatus, an ultrasonic water level gauge, a laser rangefinder, and a thermocouple thermometer; the building engineering data is the physical and mechanical data of the bearing layer geotechnical, the groundwater level data, the spacing of the building retaining wall expansion joints, and the building concrete temperature.

[0020] Preferably, the process of the leakage data acquisition module for obtaining the geotechnical physical and mechanical data of the bearing stratum and the groundwater level data includes: Among them, the geotechnical physical and mechanical data of the bearing stratum include the soil density, soil water content, soil compression modulus, and soil shear strength of the geotechnical material in the bearing stratum, and the groundwater level data is the groundwater level of the building body; Use a nuclear density gauge. The nuclear density gauge uses the rays emitted by radioactive elements to interact with the soil, and calculates the soil density of the geotechnical material in the bearing stratum according to the degree of ray attenuation; Send high-frequency electrical pulses to the soil of the geotechnical material in the bearing stratum through a time domain reflectometer, determine the dielectric constant of the soil of the geotechnical material in the bearing stratum according to the propagation time of the high-frequency electrical pulse in the soil, and calculate the soil water content of the geotechnical material in the bearing stratum; Drill holes in the geotechnical material in the bearing stratum, place an elastic membrane in the drill holes, use a pressuremeter to pressurize the elastic membrane, the geotechnical material in the bearing stratum around the drill holes deforms, and calculate and obtain the soil compression modulus of the geotechnical material in the bearing stratum according to the relationship between pressure and deformation; Collect soil samples of the geotechnical material in the bearing stratum, use a direct shear apparatus, apply vertical pressure and horizontal shear force to the soil samples of the geotechnical material in the bearing stratum, and measure the shear strength of the geotechnical material in the bearing stratum; Use an ultrasonic water level gauge to emit ultrasonic waves to the groundwater surface of the building body. The ultrasonic waves are reflected back when they encounter the groundwater surface. Calculate and obtain the groundwater level of the building body according to the difference between the ultrasonic wave emission time and the reception time, combined with the propagation speed of ultrasonic waves in the air.

[0021] Preferably, the process of the leakage data acquisition module for obtaining the expansion joint spacing of the building body retaining wall and the concrete temperature of the building body includes: Among them, the concrete temperature data of the building body includes the internal temperature and surface temperature of the concrete of the building body; Use a laser rangefinder to emit a laser beam from one side of the expansion joint of the building body retaining wall. The laser beam is reflected when it encounters the other side of the expansion joint of the building body retaining wall. The laser rangefinder receives the reflected laser beam, and calculates and obtains the expansion joint spacing of the building body retaining wall according to the round-trip time of the laser beam and the speed of light; Use a thermocouple thermometer to collect the internal temperature and surface temperature of the concrete of the building body based on the thermoelectric effect.

[0022] Preferably, the process of the bearing stratum geotechnical unit for obtaining the bearing index of the bearing stratum by using the geotechnical physical and mechanical data of the bearing stratum includes: Perform data cleaning and Z-score standardization processing on the geotechnical physical and mechanical data of the bearing stratum to obtain the soil density, soil water content, soil compression modulus, and soil shear strength of the geotechnical material in the bearing stratum after Z-score standardization processing; Through the analytic hierarchy process, the weights of soil density, soil water content, soil compression modulus, and soil shear strength of the bearing stratum are obtained, and the process of calculating the bearing index of the bearing stratum is as follows: Among them, I is the bearing index of the bearing stratum, , , and are the weights of soil density, soil water content, soil compression modulus, and soil shear strength of the bearing stratum respectively, , , and are the soil density, soil water content, soil compression modulus, and soil shear strength of the bearing stratum after Z-score standardization respectively.

[0023] Preferably, for the groundwater level unit, the process of obtaining the foundation stability index using groundwater level data includes: Data cleaning is performed on the groundwater level data, the groundwater warning level threshold and the groundwater dangerous level threshold are set, weights are assigned to the building's groundwater level, the weights of the warning groundwater level threshold and the dangerous groundwater level threshold are obtained, and the process of calculating the foundation stability index is as follows: Among them, M is the foundation stability index, and are the influence coefficients, h is the real-time groundwater level of the building, is the highest groundwater level of the building, and are the warning groundwater level threshold and the dangerous groundwater level threshold respectively, and are the weights of the warning groundwater level threshold and the dangerous groundwater level threshold respectively.

[0024] Preferably, for the retaining wall expansion joint spacing unit, the process of obtaining the safety index of the retaining wall expansion joint spacing using the expansion joint spacing of the building includes: Data cleaning is performed on the expansion joint spacing of the building, and according to the building structure design specifications, the maximum threshold and the minimum threshold of the expansion joint spacing of the building are set; Using the linear proportion method, the process of calculating the safety index of the retaining wall expansion joint spacing is: Among them, S is the safety index of the retaining wall expansion joint spacing, is the actual expansion joint spacing of the building, and They are the maximum threshold and minimum threshold of the expansion joint spacing of the retaining wall of the building respectively.

[0025] Preferably, for the concrete temperature unit, the process of obtaining the degree of concrete cracking by using the concrete temperature of the building includes: According to the influence of the temperature difference between the surface and the interior of the concrete on the degree of concrete cracking, setting the threshold value of the temperature difference between the interior and the surface of the concrete of the building, the process of obtaining the degree of concrete cracking is: Where T is the degree of concrete cracking, is the temperature difference between the interior and the surface of the concrete of the building, is the threshold value of the temperature difference between the interior and the surface of the concrete of the building, and are the interior temperature of the concrete of the building and the surface temperature of the concrete respectively.

[0026] Preferably, for the leakage monitoring module, the process of constructing the building leakage monitoring model includes: Construct a neural network model, use the geotechnical physical and mechanical data of the bearing stratum and the bearing index of the bearing stratum, the groundwater level data and the foundation stability index, the expansion joint spacing of the retaining wall of the building and the safety index of the expansion joint spacing of the retaining wall, the concrete temperature of the building and the degree of concrete cracking as the data set, and divide it into a training set and a test set according to the ratio of 7:3. Select MLP as the neural network structure. The input layer includes four neurons to receive the building engineering data. The hidden layer is configured with the MSE function. The output layer includes four neurons to output the bearing index of the bearing stratum, the foundation stability index, the safety index of the expansion joint spacing of the retaining wall and the degree of concrete cracking; Input the training set data into the neural network model, set the learning rate to 0.01, and the number of iterative training times to 1000. The training process includes forward propagation and backward propagation. Among them, forward propagation is used to calculate the predicted output data, and backward propagation is used to update the weights and biases of the model. By repeating the iterative training, learn the non-linear relationship between the geotechnical physical and mechanical data of the bearing stratum and the bearing index of the bearing stratum, the non-linear relationship between the groundwater level data and the foundation stability index, the non-linear relationship between the expansion joint spacing of the retaining wall of the building and the safety index of the expansion joint spacing of the retaining wall, and the non-linear relationship between the concrete temperature of the building and the degree of concrete cracking until the set number of iterative training times is reached, and obtain the trained neural network model; Input the test set data into the trained neural network model, use the MSE function to evaluate the error between the output value and the actual value of the neural network model, adjust the parameters of the neural network model according to the evaluation result, optimize the performance of the neural network model, and obtain the building leakage monitoring model.

[0027] Preferably, the process of the building leakage prevention monitoring module for evaluating the leakage risk of the building and taking preventive measures includes: Combined with the building leakage monitoring model, analyze the engineering data of the building. When the bearing layer bearing index is greater than 0.8, the building leakage is a low risk. Continuously monitor the geotechnical physical and mechanical data of the building bearing layer and regularly inspect the waterproof facilities. When the bearing layer bearing index is between 0.4 and 0.8, the building leakage is a medium risk. Increase the monitoring frequency of the geotechnical physical and mechanical data of the building bearing layer, issue a bearing layer bearing warning signal, and formulate a waterproof strengthening plan. When the bearing layer bearing index is less than 0.4, the building leakage is a high risk. Issue a bearing layer bearing emergency signal and take support measures for the building. When the foundation stability index is greater than 0.7, the building leakage is a low risk. Regularly inspect the waterproof coating of the building, continuously monitor the groundwater level of the building, and strengthen the maintenance of the drainage device. When the foundation stability index is between 0.5 and 0.7, the building leakage is a medium risk. Issue a foundation warning signal, conduct structural inspection and waterproof performance inspection on the building, and carry out waterproof repair based on the inspection results. When the foundation stability index is less than 0.5, the building leakage is a high risk. Issue a foundation emergency signal, stop the construction activities that affect the foundation stability, reinforce the building foundation, and repair the building structure. When the safety index of the retaining wall expansion joint spacing is greater than 0.9, the building leakage is a low risk. Continuously monitor the retaining wall expansion joint spacing of the building, check the waterproof sealing condition around the expansion joint, and repair the expansion joint according to the inspection results. When the safety index of the retaining wall expansion joint spacing is between 0.7 and 0.9, the building leakage is a medium risk. Issue a warning signal for the retaining wall expansion joint spacing, conduct a comprehensive inspection of the expansion joint, and formulate and implement a targeted plan according to the inspection results. When the safety index of the retaining wall expansion joint spacing is less than 0.7, the building leakage is a high risk. Issue an emergency signal for the retaining wall expansion joint spacing and conduct emergency repair of the expansion joint. When the degree of concrete cracking is less than 0.8, the building leakage is a low risk. Mark and monitor the concrete cracks of the building, and repair the cracked concrete with epoxy resin glue. When the degree of concrete cracking is between 0.6 and 0.8, the building leakage is a medium risk. Issue a concrete cracking warning signal, adjust the concrete temperature, and conduct pressure grouting treatment on the concrete cracks. When the degree of concrete cracking is less than 0.6, the building leakage is a high risk. Issue a concrete cracking emergency signal, inspect the building concrete, and repair the cracked part by re-pouring concrete.

[0028] As described above, it is only the specific implementation manner of the present application. However, the protection scope of the present application is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present application can easily think of changes or substitutions, which should all be covered within the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims described above.

Claims

1. An operation and maintenance monitoring system for preventing water leakage in prefabricated building structures, comprising a leakage data acquisition module, a leakage data processing module, a leakage monitoring module, and a building leakage prevention monitoring module, wherein, Each module is communicatively connected, and is characterized in that: The leakage data acquisition module uses data acquisition equipment to obtain building engineering data; The leakage data processing module is divided into a bearing layer geotechnical unit, a groundwater level unit, a retaining wall expansion joint spacing unit, and a concrete temperature unit. Among them, the bearing layer geotechnical unit, the groundwater level unit, the retaining wall expansion joint spacing unit, and the concrete temperature unit are respectively used to obtain the bearing capacity index of the bearing layer, the foundation stability index, the safety index of the retaining wall expansion joint spacing, and the concrete cracking degree; The leakage monitoring module uses a convolutional neural network to construct a building leakage monitoring model; The building leakage prevention and monitoring module analyzes the building engineering data, evaluates the building leakage risk, and takes preventive measures.

2. The operation and maintenance monitoring system for preventing water leakage of an assembled building body according to claim 1, wherein: The process by which the leakage data acquisition module uses data acquisition equipment to obtain building engineering data includes: The data acquisition equipment includes a nuclear density gauge, a time domain reflectometer, a pressuremeter, a direct shear apparatus, an ultrasonic water level gauge, a laser rangefinder, and a thermocouple thermometer; the building engineering data is the physical and mechanical data of the bearing layer geotechnical, the groundwater level data, the building retaining wall expansion joint spacing, and the building concrete temperature.

3. The operation and maintenance monitoring system for preventing water leakage of an assembled building body according to claim 2, wherein: The process by which the leakage data acquisition module obtains the physical and mechanical data of the bearing layer geotechnical and the groundwater level data includes: The physical and mechanical data of the bearing layer geotechnical includes the soil density, soil water content, soil compression modulus, and soil shear strength of the bearing layer geotechnical; the groundwater level data is the building groundwater level; Use a nuclear density gauge. The nuclear density gauge uses the rays emitted by radioactive elements to interact with the soil, and calculates the soil density of the bearing layer geotechnical according to the degree of ray attenuation; Send a high-frequency electrical pulse to the bearing layer geotechnical soil through a time domain reflectometer, determine the dielectric constant of the bearing layer geotechnical soil according to the propagation time of the high-frequency electrical pulse in the soil, and calculate the soil water content of the bearing layer geotechnical; Drill a hole in the bearing layer geotechnical, place an elastic membrane in the hole, use a pressuremeter to pressurize the elastic membrane, the bearing layer geotechnical around the hole deforms, and calculate and obtain the soil compression modulus of the bearing layer geotechnical according to the relationship between pressure and deformation; Collect the bearing layer geotechnical soil sample, use a direct shear apparatus, apply a vertical pressure and a horizontal shear force to the bearing layer geotechnical soil sample, and measure the shear strength of the bearing layer geotechnical; Use an ultrasonic water level gauge to emit ultrasonic waves to the groundwater surface of the building. The ultrasonic waves are reflected back when they encounter the groundwater surface. Calculate and obtain the building groundwater level according to the difference between the ultrasonic wave emission time and the reception time, combined with the propagation speed of the ultrasonic wave in the air.

4. The operation and maintenance monitoring system for preventing water leakage of an assembled building body according to claim 3, characterized in that: The process by which the leakage data acquisition module obtains the building retaining wall expansion joint spacing and the building concrete temperature includes: The building concrete temperature data includes the internal temperature and the surface temperature of the building concrete; Use a laser rangefinder to emit a laser beam from one side of the building retaining wall expansion joint. The laser beam is reflected when it encounters the other side of the building retaining wall expansion joint. The laser rangefinder receives the reflected laser beam, and calculates and obtains the expansion joint spacing of the building retaining wall according to the round-trip time of the laser beam and the speed of light; Use a thermocouple thermometer to collect the internal temperature and the surface temperature of the building concrete based on the thermoelectric effect.

5. The operation and maintenance monitoring system for preventing water leakage in an assembled building according to claim 4, characterized in that: The process of obtaining the bearing index of the bearing layer geotechnical unit by using the physical and mechanical data of the bearing layer geotechnical includes: Clean the physical and mechanical data of the bearing layer geotechnical and perform Z-score standardization processing to obtain the soil density, soil water content, soil compression modulus, and soil shear strength of the bearing layer geotechnical after Z-score standardization processing; Through the analytic hierarchy process, obtain the weights of the soil density, soil water content, soil compression modulus, and soil shear strength of the bearing layer geotechnical, and the process of calculating the bearing index of the bearing layer is as follows: Wherein, I is the bearing index of the bearing stratum, , , and are the weights of the soil density, soil water content, soil compression modulus, and soil shear strength of the geotechnical material in the bearing stratum, respectively, , , and are the soil density, soil water content, soil compression modulus, and soil shear strength of the geotechnical material in the bearing stratum after Z-score normalization, respectively.

6. The operation and maintenance monitoring system for preventing water leakage of an assembled building body according to claim 5, characterized in that: The process of obtaining the foundation stability index by using the groundwater level data for the groundwater level unit includes: Clean the groundwater level data, set the warning groundwater level threshold and the dangerous groundwater level threshold, assign weights to the groundwater level of the building body, obtain the warning groundwater level threshold weight and the dangerous groundwater level threshold weight, and the process of calculating the foundation stability index is as follows: Among them, M is the foundation stability index, and are influence coefficients, h is the real-time groundwater level of the building, is the highest groundwater level of the building, and are the warning groundwater level threshold and the dangerous groundwater level threshold respectively, and are the warning groundwater level threshold weight and the dangerous groundwater level threshold weight respectively.

7. The operation and maintenance monitoring system for preventing water leakage in an assembled building body according to claim 6, characterized in that: The process of obtaining the safety index of the expansion joint spacing of the retaining wall by using the expansion joint spacing of the retaining wall of the building body includes: Clean the expansion joint spacing of the retaining wall of the building body, and set the maximum threshold and the minimum threshold of the expansion joint spacing of the retaining wall of the building body according to the building structure design specifications; The process of calculating the safety index of the expansion joint spacing of the retaining wall by using the linear ratio method is: Among them, S is the safety index of the expansion joint spacing of the retaining wall, is the expansion joint spacing of the retaining wall of the actual building, and are the maximum threshold and minimum threshold of the expansion joint spacing of the retaining wall of the building, respectively.

8. The operation and maintenance monitoring system for preventing water leakage of an assembled building body according to claim 7, wherein: The process of obtaining the degree of concrete cracking by using the concrete temperature of the building body for the concrete temperature unit includes: According to the influence of the temperature difference between the surface and the interior of the concrete on the degree of concrete cracking, set the threshold of the temperature difference between the interior and the surface of the concrete of the building body, and the process of obtaining the degree of concrete cracking is: Among them, T is the degree of concrete cracking, is the temperature difference between the internal temperature and the surface temperature of the concrete in the building body, is the threshold value of the temperature difference between the internal temperature and the surface temperature of the concrete in the building body, and are the internal temperature of the concrete in the building body and the surface temperature of the concrete respectively.

9. The operation and maintenance monitoring system for preventing water leakage of an assembled building body according to claim 8, wherein: The process of constructing the building body leakage monitoring model for the leakage monitoring module includes: Construct a neural network model, use the physical and mechanical data of the bearing layer geotechnical and the bearing index of the bearing layer, the groundwater level data and the foundation stability index, the expansion joint spacing of the retaining wall of the building body and the safety index of the expansion joint spacing of the retaining wall, and the concrete temperature of the building body and the degree of concrete cracking as the data set, divide it into a training set and a test set according to the ratio of 7:3, select MLP as the neural network structure, the input layer includes four neurons, receive the building body engineering data, the hidden layer is configured with the MSE function, the output layer includes four neurons, and output the bearing index of the bearing layer, the foundation stability index, the safety index of the expansion joint spacing of the retaining wall, and the degree of concrete cracking; Input the training set data into the neural network model, set the learning rate to 0.01, and the number of iterative training times to 1000. The training process includes forward propagation and backward propagation. Among them, forward propagation is used to calculate the predicted output data, and backward propagation is used to update the weights and biases of the model. Through repeated iterative training, learn the non-linear relationship between the physical and mechanical data of the bearing layer geotechnical and the bearing index of the bearing layer, the non-linear relationship between the groundwater level data and the foundation stability index, the non-linear relationship between the expansion joint spacing of the retaining wall of the building body and the safety index of the expansion joint spacing of the retaining wall, and the non-linear relationship between the concrete temperature of the building body and the degree of concrete cracking, until the set number of iterative training times is reached, and obtain the trained neural network model; Input the test set data into the trained neural network model, use the MSE function to evaluate the error between the output value and the actual value of the neural network model, adjust the parameters of the neural network model according to the evaluation results, optimize the performance of the neural network model, and obtain the building leakage monitoring model.

10. The operation and maintenance monitoring system for preventing water leakage of an assembled building body according to claim 9, characterized in that: The process of the building leakage prevention monitoring module evaluating the building leakage risk and taking preventive measures includes: Combined with the building leakage monitoring model, analyze the building engineering data. When the bearing capacity index of the bearing stratum is greater than 0.8, the building leakage is a low risk. Continuously monitor the geotechnical physical and mechanical data of the building bearing stratum and regularly check the waterproof facilities. When the bearing capacity index of the bearing stratum is between 0.4 and 0.8, the building leakage is a medium risk. Increase the monitoring frequency of the geotechnical physical and mechanical data of the building bearing stratum, issue a bearing capacity warning signal of the bearing stratum, and formulate a waterproof strengthening plan. When the bearing capacity index of the bearing stratum is less than 0.4, the building leakage is a high risk. Issue an emergency signal of the bearing capacity of the bearing stratum and take support measures for the building. When the foundation stability index is greater than 0.7, the building leakage is a low risk. Regularly check the waterproof coating of the building, continuously monitor the groundwater level of the building, and strengthen the maintenance of the drainage device. When the foundation stability index is between 0.5 and 0.7, the building leakage is a medium risk. Issue a foundation warning signal, conduct structural inspection and waterproof performance inspection of the building, and carry out waterproof repair in combination with the inspection results. When the foundation stability index is less than 0.5, the building leakage is a high risk. Issue an emergency signal of the foundation, stop the construction activities affecting the foundation stability, reinforce the building foundation, and repair the building structure. When the safety index of the retaining wall expansion joint spacing is greater than 0.9, the building leakage is a low risk. Continuously monitor the retaining wall expansion joint spacing of the building, check the waterproof sealing condition around the expansion joint, and repair the expansion joint according to the inspection results. When the safety index of the retaining wall expansion joint spacing is between 0.7 and 0.9, the building leakage is a medium risk. Issue a warning signal of the retaining wall expansion joint spacing, conduct a comprehensive inspection of the expansion joint, and formulate and implement a targeted plan according to the inspection results. When the safety index of the retaining wall expansion joint spacing is less than 0.7, the building leakage is a high risk. Issue an emergency signal of the retaining wall expansion joint spacing and conduct emergency repair of the expansion joint. When the degree of concrete cracking is less than 0.8, the building leakage is a low risk. Mark and monitor the concrete cracks of the building, and repair the cracked concrete with epoxy resin glue. When the degree of concrete cracking is between 0.6 and 0.8, the building leakage is a medium risk. Issue a concrete cracking warning signal, adjust the concrete temperature, and conduct pressure grouting treatment on the concrete cracks. When the degree of concrete cracking is less than 0.6, the building leakage is a high risk. Issue an emergency signal of concrete cracking, check the building concrete, and re-pour the concrete to repair the cracked part.

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