Anti-leakage detection method for basement steel column strip and prevention system thereof

Abstract

The invention discloses a basement steel column belt anti-seepage detection method and a basement steel column belt anti-seepage prevention system, and relates to the technical field of steel column belt anti-seepage, and the method comprises the following steps: obtaining construction drawing standard data and construction site survey data; filtering, screening and standardizing the collected original data; calculating a potential wading direction of the basement steel column strip by adopting a numerical simulation method; the position of water stop construction is calculated in combination with the water stop material; selecting a water seepage monitoring sensor, and calculating the distribution distance and the installation position of the downstream face of the water stop material based on the monitoring range; establishing a water seepage point monitoring map; an early warning module is arranged in a detection map, and an alarm device and a route guiding device are established in a basement, so that the problems that a large amount of manpower and material resources are consumed and the building cost is increased due to comprehensive laying of existing water stop materials, and leakage is caused due to subsequent deformation or cracking of a concrete structure, and leakage points are difficult to check are solved; and the difficulty and the cost of later maintenance and repair are increased.

Description

Technical Field

[0001] The invention relates to the technical field of anti-leakage of steel column strips, and in particular to an anti-leakage detection method for steel column strips in basements and a prevention system thereof. Background Art

[0002] In existing construction, in order to solve the problem of water seepage in the steel column belt of the basement during the rainy season or when the groundwater level rises, the method of tightly combining water-stopping materials with structural floor slabs (or structures surrounding steel columns) is widely used to construct a waterproof barrier. Although this method can effectively block most water vapor erosion, its shortcomings cannot be ignored. First, the comprehensive laying of water-stopping materials not only consumes a lot of manpower and material resources, but also increases construction costs. Secondly, over time, the concrete structure may undergo slight deformation or cracking, resulting in a decrease in the tightness between the water-stopping steel plate and the structure, thereby causing leakage. Once leakage occurs, since the water-stopping materials are widely distributed in the entire foundation structure, it becomes extremely difficult to identify the specific leakage point, which greatly increases the difficulty and cost of subsequent maintenance and repair. Summary of the invention

[0003] The embodiment of the present invention provides a method for detecting leakage of steel columns in basements and a prevention system thereof. The method calculates the water-related position by collecting geological data, water vapor conditions, water vapor flow trajectory and other data at the construction site before construction, and then calculates the construction position and quantity of water-stopping materials, thereby avoiding the waste of manpower and material resources caused by comprehensive laying. At the same time, water seepage monitoring sensors are embedded on the back water surface of the water-stopping materials, and a water seepage point monitoring map is established in the upper terminal control center. The water seepage trend prediction module therein predicts the water seepage conditions at each monitoring point in real time, and combines the guidance module and the early warning module to help maintenance personnel quickly locate and repair water seepage points, thereby solving the problems of the existing water-stopping materials consuming a lot of manpower and material resources for comprehensive laying, increasing construction costs, and after a long time, the concrete structure undergoes slight deformation or cracking, resulting in a decrease in the tightness between the water-stopping steel plate and the structure, thereby causing leakage, and ultimately making it difficult to identify specific leakage points, increasing the difficulty and cost of subsequent maintenance and repair.

[0004] A method for detecting leakage of steel columns in basements, comprising the following steps:

[0005] S1, collect data, obtain standard data of construction drawings and construction site survey data;

[0006] S2, data processing, filtering, screening and standardization of the collected raw data;

[0007] S3, calculation of wading direction, using numerical simulation method to calculate the potential wading direction of the basement steel column zone;

[0008] S4, calculation of water-stop construction position, combining the physical properties of water-stop materials and construction requirements, calculate the water-stop construction position, including the installation angle, length and spacing connection method of water-stop materials;

[0009] S5, calculation of water seepage monitoring point distribution, selecting water seepage monitoring sensors, and calculating the distribution spacing and installation position of the back surface of the water stop material based on its monitoring range;

[0010] S6, establish a water seepage point monitoring map, and transmit the data collected by the water seepage monitoring sensor to the upper terminal control center in real time, including water seepage intensity, water seepage location and development trend;

[0011] S7, establish an early warning module in the detection map, and establish an alarm device and a route guidance device in the basement to guide maintenance personnel to confirm the target location.

[0012] Furthermore, step S1 and step S2 use digital means to convert the original data into editable and analyzable data sets.

[0013] Furthermore, the specific transformation steps of digital means are as follows:

[0014] Step 1: Scan the construction drawings, convert them into digital image files, and use optical character recognition to extract data from the drawings;

[0015] Step 2: Collect detailed geological data, water vapor conditions, and water vapor flow trajectory data at the construction site;

[0016] Step 3: Clean and organize the collected raw data to remove noise and invalid data;

[0017] Step 4: Create three-dimensional model drawing data of BIM building components based on the data in the construction drawings;

[0018] Step 5: Associating the collected data with the components in the BIM model and adding attribute information to them;

[0019] Step six: Export the processed BIM model and its associated data into an editable and analyzable data set.

[0020] Furthermore, the numerical simulation method used in step S3 uses a finite difference method to calculate the distribution and flow trajectory of the water vapor below.

[0021] Furthermore, the calculation of the finite difference method is specifically a three-dimensional convection-diffusion equation.

[0022] Furthermore, the specific steps in step S4 are as follows:

[0023] Step 1, determining the water stop construction area in combination with the water wading azimuth data calculated in step S3;

[0024] Step 2: Determine the water-stopping material, which should be considered based on project requirements, groundwater pressure, soil type and permeability;

[0025] Step 3: Calculate the basic parameters of the water-stopping material, including installation angle, length and spacing;

[0026] Step 4: Select the connection method based on the characteristics of the water-stop material, construction materials and design requirements to ensure the integrity of the water-stop system;

[0027] Step 5, calculate the quantity of water-stopping materials;

[0028] Step six, scheme optimization and construction, comprehensively consider the construction difficulty, cost and construction period factors, optimize the scheme and then carry out construction.

[0029] Furthermore, the monitoring map in step S6 is established based on GIS technology, and the data collected by the water seepage monitoring sensor is uploaded to the upper terminal control center in real time, thereby reflecting the real-time water seepage situation, including water seepage intensity, water seepage location and development trend.

[0030] Furthermore, the early warning module in step S7 also includes a number of alarm devices set up in the basement and guide lights set up at each entrance to the basement. The installation rules of the alarm devices are a number of standard warning areas divided by the positions of water seepage monitoring sensors, and an alarm device is set for each standard warning area.

[0031] In a second aspect, an embodiment of the present invention provides a system for preventing water seepage from a basement roof, comprising:

[0032] The water seepage monitoring module is used to collect water seepage information on the back surface of the water-stopping material and transmit the data to the upper terminal control center;

[0033] Monitoring map module, which establishes a water seepage monitoring map system based on GIS technology for real-time transmission, automatic analysis and visual display;

[0034] The sensor positioning module encodes the sensors and divides the standard warning areas into grids;

[0035] The water seepage trend prediction module derives data on the leakage area and classifies the water seepage situation into risk levels;

[0036] Guidance module, which provides route guidance for high-risk areas so that maintenance personnel can carry out maintenance in the target areas;

[0037] The early warning module provides sound and light alarm functions for standard warning areas to enhance guidance.

[0038] The beneficial effects of the present invention through the above technical solution include at least: the detection method and prevention system can significantly reduce the risk of leakage in the steel column zone of the basement, which not only includes strict control of construction quality, but also includes careful selection and optimization of waterproof materials and construction processes, so as to ensure that the waterproof performance of the steel column zone of the basement meets the design requirements; the implementation of the prevention system can timely discover and solve potential leakage risks during the construction process, and ensure the overall safety and stability of the basement structure.

[0039] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description, claims, and drawings.

[0040] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0042] Figure 1 The present invention is a flowchart of a method for detecting leakage of steel columns in basements disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0043] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0044] Embodiment 1

[0045] like Figure 1 As shown, an embodiment of the present invention provides a method for detecting leakage of steel columns in basements, comprising the following steps:

[0046] S1, collect data, obtain standard data of construction drawings and construction site survey data;

[0047] S2, data processing, filtering, screening and standardization of the collected raw data;

[0048] S3, calculation of wading direction, using numerical simulation method to calculate the potential wading direction of the basement steel column zone;

[0049] S4, calculation of waterstop construction position, combining the physical properties of waterstop materials and construction requirements, calculate the waterstop construction position, including the installation angle, length, spacing of waterstop materials and the connection method with other structures (such as steel bars and concrete beams);

[0050] S5, calculation of water seepage monitoring point distribution, selecting water seepage monitoring sensors, and calculating the distribution spacing and installation position of the back surface of the water stop material based on its monitoring range;

[0051] S6, establish a water seepage point monitoring map, and transmit the data collected by the water seepage monitoring sensor to the upper terminal control center in real time, including water seepage intensity, water seepage location and development trend;

[0052] S7, establish an early warning module in the detection map, and establish an alarm device and a route guidance device in the basement to guide maintenance personnel to confirm the target location.

[0053] In this embodiment, step S1 and step S2 use digital means to convert the original data into an editable and analyzable data set, and the specific steps include:

[0054] Step 1: Initial BIM model establishment:

[0055] Scan paper construction drawings into digital images and then convert them into editable PDF files. Use OCR (optical character recognition) technology or manual methods to extract key information from the drawings, such as dimensions, materials, construction details, etc. Finally, create a preliminary BIM model in the BIM software based on the extracted information;

[0056] Step 2: Construction site survey data:

[0057] Based on the target area marked in the construction drawings (i.e. the basement roof and its surrounding key areas), collect detailed geological data, water vapor conditions, water vapor flow trajectory and other key information at the construction site. Specifically, geological radar can be used to detect the underground rock structure, humidity sensors can be used to monitor the humidity changes in the soil and structure, and infrared thermal imaging technology can be used to capture the water vapor diffusion path. In addition, combining meteorological data to predict future rainfall trends is also an important reference for formulating waterproofing strategies. Data collection should cover the target area and a certain distance around it to ensure the comprehensiveness and representativeness of the data;

[0058] Step 3: Data processing:

[0059] Clean and organize the construction site survey data, remove noise and invalid data, match and integrate it with the initial BIM model to ensure that the BIM model reflects the actual situation on site, compare the construction drawing data and the site survey data, check the consistency and accuracy of the data, encode and classify the data according to BIM data standards or project requirements, associate the processed data with the components in the BIM model, and add detailed attribute information for each component.

[0060] Step 4: Dataset generation:

[0061] Export the processed BIM model and its associated data as editable and analyzable datasets. The datasets can include model files, data files, etc.

[0062] In this embodiment, the numerical simulation method used in step S3 uses the finite difference method to calculate the distribution and flow trajectory of the water vapor below. The specific calculation process of the finite difference method is as follows:

[0063] Simplify the flow of water vapor below into a three-dimensional convection-diffusion equation

[0064]

[0065] in:

[0066] C is the concentration of the solute, which is a function of time t and spatial position (x, y, z);

[0067] u=(x,y,z) is the velocity vector, representing the velocity in the x,y,z directions respectively;

[0068] is the gradient operator;

[0069] D is the diffusion coefficient tensor, indicating that the diffusion capacity in each direction may be different;

[0070] S is the source or sink term, representing the rate of solute generation or consumption per unit volume;

[0071] To solve this equation, it is necessary to discretize it and convert it into a numerical problem. Specifically, the entire calculation area can be divided into several small cubic units, and the center point of each unit represents the average concentration of the unit. Then, for each node, the continuous equation is converted into a discrete form according to Taylor series expansion or other methods. For example, for the time derivative term, forward difference can be used; for the convection term and diffusion term, methods such as central difference or upwind difference can be used, and then starting from the initial conditions, the concentration distribution at each time point is solved step by step according to the time step.

[0072] The discretization steps include:

[0073] Step 1: Select an appropriate grid size, such as Δy = Δy = Δz = 1m, and the time step Δt is determined according to the stability condition;

[0074] Step 2: For each grid point (i, j, k), write its discretized form according to the three-dimensional convection-diffusion equation;

[0075] Step 3: Set appropriate boundary conditions, such as setting the far-field boundary concentration to zero or using periodic boundary conditions;

[0076] Step 4: Set C at i=j=k=0 i,j,k =C0, the rest C i,j,k =0;

[0077] Step 5: Iterative solution: Starting from t = 0, iteratively solve C at each time point according to the time step Δt i,j,k .

[0078] In this embodiment, the specific steps in step S4 are as follows:

[0079] Step 1, determining the water stop construction area in combination with the water wading azimuth data calculated in step S3;

[0080] Step 2: Determine the water-stop material. It is necessary to consider the project requirements, groundwater pressure, soil type and permeability, and select appropriate water-stop materials, such as water-stop steel plates, water-stop strips or water-stop curtains. In this embodiment, a water-stop steel plate is used as an example.

[0081] Step 3: Calculate the basic parameters of the water-stopping material, including installation angle, length and spacing;

[0082] Step 4: Select the connection method based on the characteristics of the water-stop material, construction materials and design requirements to ensure the integrity of the water-stop system;

[0083] Step 5: According to the length and spacing of the waterstop steel plates and the area to be covered, the required number of waterstop steel plates can be calculated. Specifically, the area to be covered is divided into several units that match the length and spacing of the waterstop steel plates. Then, the number of these units is calculated, and a certain amount of redundancy is considered to ensure the waterstop effect.

[0084] Step six, scheme optimization and construction, comprehensively consider the construction difficulty, cost and construction period factors, optimize the scheme, and then carry out construction. For example, the construction difficulty and cost can be reduced by adjusting the installation angle, length or spacing of the waterstop steel plate; or the overall performance of the waterstop system can be improved by improving the connection method.

[0085] In this embodiment, the monitoring map in step S6 is established based on GIS technology, and the data collected by the water seepage monitoring sensor is uploaded to the upper terminal control center in real time, thereby reflecting the real-time water seepage situation, including water seepage intensity, water seepage location and development trend.

[0086] In this embodiment, the early warning module in step S7 also includes a number of alarm devices set up in the basement and guide lights set up at each entrance to the basement. The installation rules of the alarm devices are several standard warning areas divided by the positions of water seepage monitoring sensors, and an alarm device is set for each standard warning area.

[0087] Embodiment 2

[0088] The embodiment of the present invention also discloses a system for preventing water seepage in a basement roof, comprising:

[0089] The water seepage monitoring module is used to collect water seepage information on the back surface of the water-stopping material and transmit the data to the upper terminal control center;

[0090] Monitoring map module, built based on GIS (Geographic Information System) technology, integrates the spatial layout of the basement roof, sensor location, water seepage and other data on a map, and displays the water seepage in real time through dynamic updates. Users can intuitively understand the distribution of water seepage points, water seepage range and development trend through the map, providing support for subsequent decision-making;

[0091] The sensor positioning module uniquely codes each water seepage sensor in the system and divides the basement ceiling into multiple standard warning areas in the form of a grid. Each area corresponds to one or more sensors to ensure the comprehensiveness and accuracy of monitoring. Through grid management, the system can quickly locate the water seepage point and provide precise guidance for maintenance work;

[0092] The water seepage trend prediction module conducts in-depth analysis on the collected water seepage data, uses data mining, machine learning and other technologies to deduce the data, and predicts the development trend of the water seepage situation. The module can classify the water seepage risk according to historical data, environmental factors (such as rainfall, groundwater level, etc.) and current water seepage situation, and provide early warning and decision support for maintenance work;

[0093] Guidance module provides detailed route guidance for high-risk areas. When the system detects a high-risk water seepage area, the guidance module will automatically plan the best maintenance route and guide maintenance personnel to quickly reach the target area through maps, alarm devices and road lights;

[0094] The early warning module is used to issue an alarm in time when abnormal water seepage is detected. The module adopts dual sound and light alarm methods to ensure that the alarm information can be effectively conveyed even in the basement environment. At the same time, the early warning module also supports remote notification function. When the water seepage reaches the preset threshold, the system will automatically send SMS, email or APP push notification to the relevant responsible person to ensure the timely transmission and processing of information.

[0095] The prevention system integrates multiple functions such as water seepage monitoring, map display, sensor positioning, trend prediction, guidance and alarm, and realizes comprehensive monitoring and efficient management of basement roof water seepage. The system not only improves the waterproof effect and reduces maintenance costs, but also improves the overall safety and service life of the building.

[0096] This embodiment is disclosed.

[0097] It should be understood that the specific order or hierarchy of steps in the disclosed process is an example of an exemplary method. Based on design preferences, it should be understood that the specific order or hierarchy of steps in the process can be rearranged without departing from the scope of protection of the present disclosure. The attached method claims present the elements of the various steps in an exemplary order and are not intended to be limited to the specific order or hierarchy described.

[0098] In the above detailed description, various features are grouped together in a single embodiment to simplify the disclosure. This method of disclosure should not be interpreted as reflecting an intention that the embodiments of the claimed subject matter require more features than are clearly stated in each claim. On the contrary, as reflected in the appended claims, the invention is in a state of having less than all the features of the disclosed individual embodiments. Therefore, the appended claims are hereby expressly incorporated into the detailed description, with each claim standing on its own as a separate preferred embodiment of the invention.

[0099] Those skilled in the art will also appreciate that the various illustrative logic blocks, modules, circuits, and algorithmic steps described in conjunction with the embodiments herein can all be implemented as electronic hardware, computer software, or a combination thereof. In order to clearly illustrate the interchangeability between hardware and software, various illustrative components, blocks, modules, circuits, and steps are generally described above around their functions. Whether such functions are implemented as hardware or software depends on specific applications and the design constraints imposed on the entire system. A skilled person can implement the described functions in an alternative manner for each specific application, but such implementation decisions should not be interpreted as departing from the scope of protection of the present disclosure.

[0100] The steps of the method or algorithm described in conjunction with the embodiments herein may be directly embodied as hardware, a software module executed by a processor, or a combination thereof. The software module may be located in a RAM memory, a flash memory, a ROM memory, an EPROM memory, an EEPROM memory, a register, a hard disk, a mobile disk, a CD-ROM, or any other form of storage medium well known in the art. An exemplary storage medium is connected to the processor so that the processor can read information from the storage medium and can write information to the storage medium. Of course, the storage medium may also be an integral part of the processor. The processor and the storage medium may be located in an ASIC. The ASIC may be located in a user terminal. Of course, the processor and the storage medium may also be present in a user terminal as discrete components.

[0101] For software implementation, the techniques described in this application can be implemented with modules (e.g., procedures, functions, etc.) that perform the functions described in this application. These software codes can be stored in a memory unit and executed by a processor. The memory unit can be implemented within the processor or outside the processor. In the latter case, it is coupled to the processor in a communication manner via various means, which are well known in the art.

[0102] The above description includes examples of one or more embodiments. Of course, it is impossible to describe all possible combinations of components or methods for the purpose of describing the above embodiments, but it should be recognized by those skilled in the art that the various embodiments may be further combined and arranged. Therefore, the embodiments described herein are intended to cover all such changes, modifications and variations that fall within the scope of protection of the appended claims. In addition, with respect to the term "comprising" used in the specification or claims, the word is covered in a manner similar to the term "including", just as "including," is explained as a transitional word in the claims. In addition, any term "or" used in the specification of the claims is intended to mean "non-exclusive or".

Claims

1. A method for detecting leakage of steel columns in basements, characterized in that: The following steps are involved: S1, collect data, obtain standard data of construction drawings and construction site survey data; S2, data processing, filtering, screening and standardization of the collected raw data; S3, calculation of wading direction, using numerical simulation method to calculate the potential wading direction of the basement steel column zone; S4, calculation of water-stop construction position, combining the physical properties of water-stop materials and construction requirements, calculate the water-stop construction position, including the installation angle, length and spacing connection method of water-stop materials; S5, water seepage monitoring point distribution calculation, select water seepage monitoring sensors, and calculate the back surface distribution spacing and installation position of water stop materials based on their monitoring range; S6, establish a water seepage point monitoring map, and transmit the data collected by the water seepage monitoring sensor to the upper terminal control center in real time, including water seepage intensity, water seepage location and development trend; S7, establish an early warning module in the detection map, and establish an alarm device and a route guidance device in the basement to guide maintenance personnel to confirm the target location.

2. A method for detecting leakage of steel columns in basements as claimed in claim 1, characterized in that: Step S1 and step S2 use digital means to convert the original data into editable and analyzable data sets.

3. A method for detecting leakage of steel columns in basements as claimed in claim 2, characterized in that: The specific transformation steps of digital means are as follows: Step 1: Scan the construction drawings, convert them into digital image files, and use optical character recognition to extract data from the drawings; Step 2: Collect detailed geological data, water vapor conditions, and water vapor flow trajectory data at the construction site; Step 3: Clean and organize the collected raw data to remove noise and invalid data; Step 4: Create three-dimensional model drawing data of BIM building components based on the data in the construction drawings; Step 5: Associating the collected data with the components in the BIM model and adding attribute information to them; Step six: Export the processed BIM model and its associated data into an editable and analyzable data set.

4. A method for detecting leakage of steel columns in basements as claimed in claim 1, characterized in that: The numerical simulation method used in step S3 uses the finite difference method to calculate the distribution and flow trajectory of the water vapor below.

5. A method for detecting leakage of steel columns in basements as claimed in claim 4, characterized in that: The calculation of the finite difference method is specifically a three-dimensional convection-diffusion equation.

6. A method for detecting leakage of steel columns in basements as claimed in claim 1, characterized in that: The specific steps in step S4 are as follows: Step 1, determining the water stop construction area in combination with the water wading azimuth data calculated in step S3; Step 2: Determine the water-stopping material, which should be considered based on project requirements, groundwater pressure, soil type and permeability; Step 3: Calculate the basic parameters of the water-stopping material, including installation angle, length and spacing; Step 4: Select the connection method based on the characteristics of the water-stop material, construction materials and design requirements to ensure the integrity of the water-stop system; Step 5, calculate the quantity of water-stopping materials; Step six, scheme optimization and construction, comprehensively consider the construction difficulty, cost and construction period factors, optimize the scheme and then carry out construction.

7. A method for detecting leakage of steel columns in basements as claimed in claim 1, characterized in that: The monitoring map in step S6 is established based on GIS technology, and the data collected by the water seepage monitoring sensor is uploaded to the upper terminal control center in real time, thereby reflecting the real-time water seepage situation, including water seepage intensity, water seepage location and development trend.

8. A method for detecting leakage of steel columns in basements as claimed in claim 1, characterized in that: The early warning module in step S7 also includes several alarm devices set up in the basement and guide lights set up at each entrance of the basement. The installation rules of the alarm devices are several standard warning areas divided by the positions of water seepage monitoring sensors, and one alarm device is set for each standard warning area.

9. A basement roof water seepage prevention system, using a basement steel column anti-leakage detection method as claimed in any one of claims 1 to 8, characterized in that: include: The water seepage monitoring module is used to collect water seepage information on the back surface of the water-stopping material and transmit the data to the upper terminal control center; Monitoring map module, which establishes a water seepage monitoring map system based on GIS technology for real-time transmission, automatic analysis and visual display; The sensor positioning module encodes the sensors and divides the standard warning areas into grids; The water seepage trend prediction module derives data on the leakage area and classifies the water seepage situation into risk levels; Guidance module, which provides route guidance for high-risk areas so that maintenance personnel can carry out maintenance in the target areas; The early warning module provides sound and light alarm functions for standard warning areas to enhance guidance.

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