Building and municipal engineering waterproof grade intelligent determination system and method

Abstract

The invention relates to the technical field of building and municipal engineering construction, and discloses a building and municipal engineering waterproof grade intelligent judgment system and method. The method comprises the following steps: identifying two condition factors including a waterproof grade category and a waterproof use environment category by acquiring feature information of a target project; and directly obtaining the judgment of the waterproof grade from the database, and outputting the design scheme of the optimal waterproof layer structure according to the judgment result. Through the implementation of the invention, on one hand, each element of engineering waterproof grade judgment can be accurately identified, so that the design is more accurate and comprehensive; and on the other hand, the method is not limited by engineering experience of designers, the waterproof layer construction method can be directly obtained, the reliability and practicability of design are ensured, the design efficiency is improved, multi-party coordination and decision support are enhanced, and intelligent design is promoted. According to the method, the condition A and the condition B of the target project are directly superposed, a correct waterproof grade scheme is obtained, and a waterproof structure design scheme is recommended.

Description

Technical Field

[0001] The present invention relates to the technical field of building and municipal waterproof engineering construction, and in particular to an intelligent determination system and method for the waterproof grade of buildings and municipal engineering. Background Art

[0002] During the design process of building and municipal waterproofing projects, the waterproofing grade depends on two factors: one is the project waterproofing category, and the other is the project waterproofing use environment category; designers need to consult the "General Specifications for Building and Municipal Engineering Waterproofing" to make a judgment. On the one hand, the query efficiency is low, and on the other hand, due to the limited engineering experience of designers, errors may occur.

[0003] Prior art one, Chinese patent, patent number: 202510152338.7 relates to the technical field of waterproof wall and floor, specifically discloses a waterproof wall system and its construction method, including a floor and a wall stacked on the floor, a countersunk groove is provided on the floor, the wall is located directly above the countersunk groove, and a waterproof non-woven fabric is pressed between the bottom of the wall and the floor, and the waterproof non-woven fabric includes vertical fabric and horizontal fabric arranged perpendicular to each other, one side of the horizontal fabric is attached to the inside of the countersunk groove, and a countersunk pressure block is embedded in the inside of the countersunk groove. Although. The device designs the waterproof non-woven fabric to waterproof the gap between the wall and the floor, and at the same time adopts the pressure of the wall pressing the floor in combination with the countersunk groove and the waterproof non-woven fabric process to improve the waterproof level of the wall and the floor gap, and improves the structure of the brick body so that the horizontal and vertical brick joints of the wall can be closed by water retaining strips to prevent water vapor from passing through the brick joints and improve the waterproof level of the wall; however, the waterproof level classification standards are not unified.

[0004] The second existing technology, Chinese patent, patent number: 202510152428.6, involves the field of ground waterproofing technology, and specifically discloses a building ground waterproofing system and construction method, including, from bottom to top, a ground base layer, a leveling water-guiding layer, a secondary waterproof layer, a ceramsite filling layer, a strong ground leveling layer, and a primary waterproof layer. A sewer pipe is provided through the middle of the ground base layer, a sewer hole is provided on the surface of the sewer pipe, a through hole is provided vertically at the lowest point of the leveling water-guiding layer, the sewer pipe passes through the through hole, and the lowest point of the sewer hole is horizontally aligned with the top of the through hole. The top of the sewer pipe is vertically connected to the drain pipe through an adapter, and the drain pipe passes through the ceramsite filling layer, the strong ground leveling layer, and the primary waterproof layer in sequence. Although the waterproof system adopts a combination of a leveling water-guiding layer, a secondary waterproof layer, and a sewer hole to form a secondary drainage structure with high drainage efficiency, the double-layer waterproofing combined with the fast-guided secondary drainage can extend the life of the waterproof material and improve the waterproof grade; however, it lacks support from a standardized system.

[0005] Prior art three, Chinese patent, patent number: 202411925734.0 relates to a highly efficient waterproof and moisture-proof electric pipe shaft and its construction process, which relates to the field of electric power engineering technology, including a well chamber and a wellbore, a wellbore is provided on the top of the well chamber, the well chamber includes a bottom plate, an inner well wall, an outer well wall, and a top plate, the inner well wall and the outer well wall are provided on the top of the bottom plate, and the inner well wall and the outer well wall are provided at intervals. Although the use of a double-layer structure of high-strength waterproof concrete plus a stainless steel lining significantly improves the overall waterproof level of the electric pipe shaft, ensuring that the cable is protected from external moisture and extending its service life, and after being equipped with a constant temperature dehumidification device, the probability of moisture problems inside the pipe shaft is successfully suppressed, greatly reducing the risk of electrical equipment being damaged by moisture, and with the help of an intelligent monitoring platform, the operation site conditions can be instantly grasped and responded to in a timely manner, greatly improving operation and maintenance efficiency and service quality; however, data sharing and collaboration capabilities are insufficient.

[0006] At present, there are problems in the existing technologies 1, 2 and 3, such as inconsistent standards for waterproof grade classification, lack of support from a standardized system, and insufficient data sharing and collaboration capabilities. To solve the above problems, the present invention provides an intelligent determination system and method for the waterproof grade of buildings and municipal engineering. Summary of the Invention

[0007] The main purpose of the present invention is to provide an intelligent determination system and method for the waterproof grade of buildings and municipal engineering projects, so as to solve the problems in the prior art of inconsistent waterproof grade classification standards, lack of support from a standardized system, and insufficient data sharing and collaboration capabilities.

[0008] To achieve the above object, the present invention provides the following technical solutions: An intelligent determination system for waterproof grade of buildings and municipal engineering projects, comprising: The first factor discrimination subsystem is used to obtain the waterproofing category of the target project and assign a first-level category value, construction engineering or municipal engineering. It then assigns a second-level category value. Construction engineering is divided into underground engineering, roofing engineering, exterior wall engineering, and interior engineering. Municipal engineering is divided into underground engineering, road and bridge engineering, and water storage engineering. Finally, it assigns a third-level category value, which belongs to each content of the second-level category value. Through the above assignments, it can directly determine Class A, B, and C. Specifically, the first factor identification result can be obtained by selecting in the terminal and the software accepting the input; The second factor discrimination subsystem is used to obtain the waterproof use environment category of the target project, assign the first-level category value, construction engineering or municipal engineering, and then assign the second-level category value. Construction engineering is divided into underground engineering, roofing engineering, exterior wall engineering, and interior engineering. Municipal engineering is divided into underground engineering, road and bridge engineering, and water storage engineering. Finally, the third-level category value is assigned to each content belonging to the second-level category value. Through the above assignment, categories I, II, and III can be directly determined; The selection of the third-level category values ​​for roofing and exterior wall projects involves assigning annual precipitation values ​​to the target project location. This involves big data, collecting precipitation values ​​from various locations and incorporating them into the software for direct use by designers. The waterproof grade judgment subsystem is used to directly obtain the waterproof grade judgment result after selecting and superimposing the above two factors, and directly provide the corresponding waterproof construction design plan.

[0009] As a further improvement of the present invention, the first factor determination subsystem includes: The secondary category value module is used to classify target projects into two categories: construction projects and municipal projects, and assign first-level category values; to classify construction projects into underground projects, roofing projects, exterior wall projects, and interior projects; and to classify municipal projects into underground projects, road and bridge projects, and water storage projects, and assign second-level category values; The three-level category value module is used to assign a third-level category value based on the importance of the project's waterproofing function and leakage sensitivity. Projects that are highly sensitive to leakage and cause significant social, economic or environmental impacts are assigned Category A; projects that are insensitive to leakage and whose leakage impact is less than a preset threshold are assigned Category C; and projects between Category A and Category C are assigned Category B. The automatic category matching module is used to automatically match the three-level categories in the software terminal by selecting the level or inputting relevant parameters, and finally determine the project waterproofing category as Class A, B or C; among them, the level selection is to select the penetration sensitivity for the building project and the roofing project.

[0010] As a further improvement of the present invention, the second factor determination subsystem includes: The environmental classification module is used to obtain the waterproofing environment category of the target project and assign a first-level category value, construction engineering or municipal engineering. It is further subdivided into second-level category values ​​according to the location. Construction engineering is divided into underground, roofing, exterior wall and interior engineering; municipal engineering is divided into underground, road and bridge and water storage engineering. The environmental characteristic assignment module is used to assign values ​​according to the environmental characteristics of specific parts and assign third-level category values; environmental characteristics are used to set environmental parameter judgment rules based on rainfall intervention, corrosive environment, alternating dry and wet conditions; The automatic matching environmental parameter module is used to collect national precipitation data, geological conditions and corrosion area distribution through the built-in database, input the project's geographical location and location type, and automatically match the environmental parameters; Class A projects in water storage projects that are sensitive to leakage adopt level 3 waterproofing in Class I environments, and Class C projects adopt level 3 waterproofing in Class III environments.

[0011] As a further improvement of the present invention, the waterproof level determination subsystem includes: The module for obtaining the result of factor discrimination is used to determine the type of project, the importance of waterproofing parts and functions based on the result of the first factor discrimination; and to determine the environmental conditions of the project based on the result of the second factor discrimination and assign an environmental category value; The factor judgment result combination module is used to combine Class A, B, or C with Class I, II, or III according to preset mapping rules, outputting the first, second, or third waterproof grade, and obtaining the final waterproof grade judgment result; and adjusting the rainfall amount for open-cut underground projects and roof or exterior wall projects; The factor judgment result verification module is used to call the preset waterproof construction practice library based on the final waterproof grade judgment result; build a waterproof grade simulation model, and input the final waterproof grade judgment result into the waterproof grade simulation model for simulation verification.

[0012] As a further improvement of the present invention, the factor judgment result combination module includes: The sensitivity analysis submodule is used to clarify the definition and classification basis of project categories A, B or C and waterproofing environment categories I, II or III; based on the importance of the project waterproofing and the degree of leakage sensitivity, category A is sensitive to leakage, category B is normal, and category C is not sensitive to leakage; The three-level waterproof combination submodule is used to cross-combine project categories and environmental categories to form a mapping rule framework; Class A projects and Class I environments are combined to correspond to Class I waterproofing; Class B projects and Class II environments are combined to correspond to Class II waterproofing; Class C projects and Class III environments are combined to correspond to Class III waterproofing; The adjustment rule submodule is used to supplement the adjustment rules according to specific project types. For areas affected by rainfall, the waterproofing category assignment is adjusted based on rainfall data; for open-cut underground projects, the environmental category is refined based on groundwater pressure and soil corrosivity.

[0013] As a further improvement of the present invention, the factor judgment result verification module includes: The engineering waterproofing data collection submodule is used to deploy IoT sensor networks in key locations to collect environmental parameters such as water seepage height, temperature, humidity, Cl⁻ concentration, and corrosion current. It also captures images of the back surface of the interior wall after the water spray test and records visual information about the leakage point. The waterproof grade simulation model submodule is configured to construct an input to a waterproof grade simulation model based on a final waterproof grade, perform pattern recognition on features such as abnormal fluctuations in temperature-humidity curves and sharp increases in Cl- concentrations, perform pixel-level segmentation on wet marks in an interior wall image, and accurately identify the number, area, and distribution form of leakage points. The waterproof grade adjustment submodule is configured to compare and analyze simulation results and waterproof grade determination results, adjust the comparison and analysis results to final waterproof grade determination results, and output a waterproof structure design scheme.

[0014] As a further improvement of the present application, the waterproof grade simulation model submodule includes: The dynamic distribution analysis unit is configured to perform dynamic analysis on temperature-humidity curves, identify abnormal fluctuation features, and determine corrosion risks in combination with chemical indicators such as sharp increases in Cl- concentrations; perform pixel-level segmentation on interior wall images, automatically identify wet mark areas, and calculate the number, area, and distribution form of leakage points. The simulation failure probability unit is configured to construct an input to a waterproof grade simulation model based on a final waterproof grade, simulate failure probabilities under different waterproof grades based on material properties and structural characteristics, and input environmental parameters and image recognition results into the waterproof grade simulation model. The waterproof data adjustment unit is configured to simulate the effects of temperature-humidity coupling on waterproof layers, predict leakage development trends, obtain actual leakage data, compare the actual leakage data with simulation results in the waterproof grade simulation model, and adjust waterproof grade simulation model parameters.

[0015] As a further improvement of the present application, the simulation failure probability unit includes: The pre-processing waterproof data subunit is configured to correct distortions in collected interior wall images, eliminate errors caused by shooting angles or lens distortion, perform normalization processing on time series data such as temperature and humidity to eliminate dimension differences, and extract features from environmental parameters and images. The training waterproof grade simulation model subunit is configured to combine environmental data and image features to form a multi-dimensional input vector, measure the differences between predicted segmentation maps and true labels, update weights, and accelerate convergence in combination with a learning rate decay strategy; train leakage point segmentation and waterproof grade classification, and share underlying features. The verification determination result subunit is configured to adjust learning rates, batch sizes, and iteration numbers, select an optimal combination, obtain a final waterproof grade simulation model, input newly collected images and environmental parameters, output the number, area, and distribution state of penetration points, and generate a final determination result in combination with waterproof grade standards.

[0016] As a further improvement of the present application, the waterproof grade adjustment submodule includes: The simulation result grading unit is used to compare and analyze the simulation results output by the waterproof grade simulation model with the actual engineering test data, identify simulation deviations and calibrate the waterproof grade simulation model data; and grade the calibrated waterproof grade simulation model results; The waterproof grade scheme matching unit is used to modify the final waterproof grade judgment result based on the grade classification result of the simulation result; according to the adjusted waterproof grade, the corresponding scheme is matched from the preset construction practice library; The visualization output unit is used to add an additional layer to the concentrated leakage point area identified by pixel-level segmentation; quantify the parameters by verifying the construction parameters; and visualize the corrected final waterproof grade judgment result.

[0017] To achieve the above object, the present invention also provides the following technical solutions: A method for intelligently determining the waterproof grade of buildings and municipal engineering projects, comprising the following steps: Obtain the waterproofing category of the target project and assign a first-level category value, construction engineering or municipal engineering. Then assign a second-level category value. Construction engineering is divided into underground engineering, roofing engineering, exterior wall engineering, and interior engineering. Municipal engineering is divided into underground engineering, road and bridge engineering, and water storage engineering. Finally, assign a third-level category value, which belongs to each content of the second-level category value. Through the above assignment, it can be directly determined as Class A, B, and C. Specifically, the first factor identification result can be obtained by selecting in the terminal and the software accepting the input; Obtain the waterproofing use environment category of the target project, assign the first-level category value, construction engineering or municipal engineering, and then assign the second-level category value. Construction engineering is divided into underground engineering, roofing engineering, exterior wall engineering, and interior engineering. Municipal engineering is divided into underground engineering, road and bridge engineering, and water storage engineering. Finally, assign the third-level category value, which belongs to each content of the second-level category value. Through the above assignment, categories I, II, and III can be directly determined; The selection of the third-level category values ​​for roofing and exterior wall projects involves assigning annual precipitation values ​​to the target project location. This involves big data, collecting precipitation values ​​from various locations and incorporating them into the software for direct use by designers. After selecting and superimposing the above two factors, the software directly obtains the waterproof grade judgment result and directly provides the corresponding waterproof construction design plan.

[0018] To achieve the above object, the present invention also provides the following technical solutions: An electronic device includes a processor and a memory coupled to the processor, wherein the memory stores program instructions that can be executed by the processor; when the processor executes the program instructions stored in the memory, the layout method of the chemical pump body processing equipment as described above is implemented.

[0019] To achieve the above object, the present invention also provides the following technical solutions: A storage medium stores program instructions, which, when executed by a processor, implement the layout method of the chemical pump body processing equipment as described above.

[0020] This invention allows designers to quickly determine waterproof ratings and waterproof structural design solutions, improving work efficiency. Furthermore, it provides builders with accurate design solutions, ensuring both reliability and practicality, without being influenced by the experience and subjective opinions of various parties. Furthermore, it significantly improves design efficiency, enhances multi-party coordination and decision-making support, and promotes the construction of smart granaries. Based on the intelligent waterproof rating determination system and method for buildings and municipal engineering projects, a storage software has been developed that directly superimposes target project conditions A and B, deriving the correct waterproof rating solution and recommending waterproof structural design solutions. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 This is a schematic diagram of the functional modules of an embodiment of the intelligent determination system for waterproof grade of buildings and municipal engineering projects of the present invention; Figure 2 This is a functional module diagram of an embodiment of the first factor determination subsystem of the intelligent determination system for waterproof grade of buildings and municipal engineering projects of the present invention; Figure 3 This is a functional module diagram of an embodiment of the second factor determination system for intelligent determination of waterproof grade of buildings and municipal engineering projects according to the present invention; Figure 4 This is a functional module diagram of an embodiment of a waterproof grade determination subsystem of the intelligent waterproof grade determination system for buildings and municipal engineering projects of the present invention; Figure 5 This is a functional module diagram of an embodiment of a factor judgment result combination module of the intelligent judgment system for waterproof grade of buildings and municipal engineering projects of the present invention; Figure 6 This is a functional module diagram of an embodiment of a factor judgment result verification module of the intelligent judgment system for waterproof grade of buildings and municipal engineering projects of the present invention; Figure 7 This is a functional module diagram of an embodiment of a waterproof grade simulation model submodule of the intelligent waterproof grade determination system for buildings and municipal engineering projects of the present invention; Figure 8This is a functional module diagram of an embodiment of a simulation failure probability unit of an intelligent determination system for waterproof grade of buildings and municipal engineering projects according to the present invention; Figure 9 This is a functional module diagram of an embodiment of adjusting the waterproof grade determination submodule of the intelligent waterproof grade determination system for buildings and municipal engineering projects of the present invention; Figure 10 This is a flowchart of one embodiment of the method for intelligently determining the waterproof grade of buildings and municipal engineering projects according to the present invention; Figure 11 This is a schematic structural diagram of an embodiment of an electronic device of the present invention; Figure 12 This is a schematic structural diagram of an embodiment of a storage medium of the present invention. DETAILED DESCRIPTION

[0022] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0023] The terms "first," "second," and "third" in this disclosure are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of the technical features indicated. Therefore, features specified as "first," "second," or "third" may explicitly or implicitly include at least one of such features. In the description of this disclosure, "plurality" means at least two, for example, two, three, etc., unless otherwise specifically defined. All directional indications (such as up, down, left, right, front, back, etc.) in the embodiments of this disclosure are intended only to illustrate the relative positional relationships and movement of components in a specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indications will also change accordingly. Furthermore, the terms "including," "having," and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or apparatus comprising a series of steps or elements is not limited to the listed steps or elements and may optionally include steps or elements not listed, or may optionally include other steps or elements inherent to such process, method, product, or apparatus.

[0024] References herein to "embodiments" mean that a particular feature, structure, or characteristic described in connection with the embodiments may be included in at least one embodiment of the present invention. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute a separate or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0025] like Figure 1 As shown, this embodiment provides an embodiment of an intelligent system for determining the waterproof grade of buildings and municipal engineering projects. In this embodiment, the intelligent system for determining the waterproof grade of buildings and municipal engineering projects includes: The first factor discrimination subsystem 1 is used to obtain the waterproofing category of the target project and assign a first-level category value, construction engineering or municipal engineering. It then assigns a second-level category value. Construction engineering is divided into underground engineering, roofing engineering, exterior wall engineering, and interior engineering. Municipal engineering is divided into underground engineering, road and bridge engineering, and water storage engineering. Finally, it assigns a third-level category value, which belongs to each content of the second-level category value. Through the above assignments, it can directly determine Class A, B, and C. Specifically, the first factor identification result can be obtained by selecting in the terminal and the software accepting the input; The second factor discrimination subsystem 2 is used to obtain the waterproof use environment category of the target project, assign the first-level category value, construction engineering or municipal engineering, and then assign the second-level category value. Construction engineering is divided into underground engineering, roofing engineering, exterior wall engineering, and interior engineering. Municipal engineering is divided into underground engineering, road and bridge engineering, and water storage engineering. Finally, the third-level category value is assigned to each content belonging to the second-level category value. Through the above assignment, it can directly determine categories I, II, and III; The selection of the third-level category values ​​for roofing and exterior wall projects involves assigning annual precipitation values ​​to the target project location. This involves big data, collecting precipitation values ​​from various locations and incorporating them into the software for direct use by designers. The waterproof grade judgment subsystem 3 is used to directly obtain the waterproof grade judgment result after selecting and superimposing the above two factors, and directly provide the corresponding waterproof construction design solution.

[0026] Preferably, the present embodiment divides the engineering waterproofing class and the use environment class into multiple levels (Class A, B, C; Class I, II, III) through the first factor discrimination subsystem 1 and the second factor discrimination subsystem 2, and forms a complete classification system in combination with the different needs of building engineering and municipal engineering. This classification method is not only scientific and reasonable, but also facilitates designers to quickly determine the waterproofing level, thereby improving work efficiency. For example, underground engineering, roofing engineering and the like in building engineering are further subdivided into more specific classes, such as underground engineering, road and bridge engineering, and water storage engineering. In the selection of the third-level class value of roofing engineering and external wall engineering, the data of annual precipitation in the location of the target project is introduced. Through big data technology, precipitation information in various places is collected and integrated into the software, so that designers can directly use these data for classification, thereby more accurately determining the waterproofing level; the waterproofing level discrimination subsystem 3 directly obtains the waterproofing level by superimposing the results of the first factor and the second factor, and provides the corresponding waterproofing structure design scheme. This automatic discrimination method avoids the complexity and errors of manual calculation, while improving the accuracy and efficiency of design. The division of waterproofing levels is based on the importance of the project, the degree of potential damage caused by leakage, the use environment conditions (such as groundwater level, annual precipitation, wind pressure, etc.), and the functional requirements of the building. For example, Class A engineering has the highest waterproofing function importance, Class B is second, and Class C is the lowest; Class I environment usually refers to an environment that frequently encounters water or is long-term submerged, while Class III environment refers to a dry-wet alternating or non-dry-wet alternating environment; through the classification system and the automatic discrimination tool, designers can quickly complete the determination of the waterproofing level and the formulation of the design scheme, thereby shortening the design cycle; in combination with big data and environmental factors, it ensures that the waterproofing design is more in line with actual needs, avoiding leakage problems caused by insufficient environmental conditions. After clearly defining the division standards of the waterproofing level, the selection of construction materials and the design of waterproofing structures can be better guided, thereby improving the safety and durability of the building. The standardized classification system and intelligent tools provide a unified technical reference for the industry, which helps to promote the progress and standard development of waterproofing engineering technology.

[0027] Further, as shown in Figure 2 the first factor discrimination subsystem 1 comprises: a secondary class value module 11 for dividing the target project into two categories of building engineering and municipal engineering, and assigning a first-level class value; dividing building engineering into underground engineering, roofing engineering, external wall engineering and indoor engineering; dividing municipal engineering into underground engineering, road and bridge engineering, and water storage engineering, and assigning a second-level class value; The third-level category value module 12 is used to assign a third-level category value based on the importance of the waterproof function of the project and the leakage sensitivity. Projects that are highly sensitive to leakage and cause significant social, economic or environmental impacts are assigned Category A; projects that are not sensitive to leakage and whose leakage impact is less than a preset threshold are assigned Category C; and projects between Category A and Category C are assigned Category B. The automatic category matching module 13 is used to automatically match the three-level categories in the software terminal by selecting the level or inputting relevant parameters, and finally determine the engineering waterproof category as Class A, B or C; wherein the level selection is to select the penetration sensitivity for the building project and the roofing project.

[0028] Preferably, this embodiment categorizes target projects into two categories: construction projects and municipal projects, further subdividing them into underground projects, roofing projects, exterior wall projects, and interior projects (construction projects) and underground projects, road and bridge projects, and water storage projects (municipal projects). This classification clearly distinguishes different project types and their waterproofing requirements, facilitating the development of targeted waterproofing design standards and construction plans. Based on the importance of a project's waterproofing function and leakage sensitivity, waterproofing categories are divided into Class A, Class B, and Class C. This classification method more accurately reflects the social, economic, or environmental impact of project leakage, providing a scientific basis for waterproofing design. Rapid classification is achieved through the software terminal; users simply select a level or enter relevant parameters to automatically match the three-level classification. This intelligent design improves work efficiency, reduces human judgment errors, and ensures the accuracy and consistency of classification results. By comprehensively considering the importance of a project's waterproofing function and leakage sensitivity, waterproofing categories are divided into Class A (highly sensitive), Class B (moderately sensitive), and Class C (insensitive). This classification method not only helps clarify the waterproofing requirements for different projects but also guides the selection of waterproofing materials and optimization of construction processes during actual construction. Through modular classification and automatic matching technology, the workload of designers is reduced and work efficiency is improved. Classification based on leakage sensitivity and the importance of waterproofing functions can more accurately determine waterproofing levels and defense requirements, effectively improving the quality of waterproofing projects. By classifying the impact of leakage, the waterproofing priorities of different projects are clarified, helping to reduce the social, economic, and environmental losses caused by leakage. The modular classification system and automatic matching technology make waterproofing design more standardized and regulated, making it easier for construction personnel to understand and implement.

[0029] Furthermore, if Figure 3 As shown, the second factor determination subsystem 2 includes: The environmental classification module 21 is used to obtain the waterproofing environment category of the target project and assign a first-level category value of construction engineering or municipal engineering. The second-level category value is further subdivided according to the location. Construction engineering is divided into underground, roofing, exterior wall and interior engineering; municipal engineering is divided into underground, road and bridge and water storage engineering. The environmental characteristic assignment module 22 is used to assign values ​​according to the environmental characteristics of specific parts and assign third-level category values; the environmental characteristics are used to set environmental parameter determination rules based on rainfall intervention, corrosive environment, alternating dry and wet conditions; The automatic matching environmental parameter module 23 is used to collect national precipitation data, geological conditions and corrosion area distribution through the built-in database, input the project's geographical location and location type, and automatically match the environmental parameters; Class A projects that are sensitive to leakage in water storage projects adopt level 3 waterproofing in Class I environments, and Class C projects adopt level 3 waterproofing in Class III environments.

[0030] Preferably, this embodiment categorizes projects into construction projects and municipal projects, further subdividing them into underground, roofing, exterior walls, and interior projects (construction projects) and underground, road, bridge, and water storage projects (municipal projects). This allows for precise classification of project waterproofing environments. This classification approach clarifies the waterproofing requirements of different project locations, providing a foundation for subsequent waterproofing design. For example, underground projects within construction projects generally require a higher waterproofing grade, while water storage projects are categorized into three categories: A, B, and C, each corresponding to a different waterproofing grade based on leakage sensitivity. Environmental parameter determination rules are defined based on environmental characteristics such as rainfall, corrosive environments, and alternating wet-dry conditions, thereby assigning third-level category values. For example, for water storage projects, Category A projects use Level 1 waterproofing in Category I environments, while Category C projects use Level 3 waterproofing in Category III environments. This environmentally-based assignment method more accurately reflects the actual environmental conditions of the project location, thereby improving the targetedness and reliability of waterproofing design. A built-in database collects national precipitation data, geological conditions, and information on the distribution of corrosive areas, automatically matching environmental parameters based on the project's geographic location and location type. For example, underground projects in areas with annual rainfall exceeding 400mm should be selected according to the Class I waterproofing environment. The dynamic matching mechanism not only improves work efficiency but also reduces errors in human judgment, ensuring the scientific and rational nature of waterproofing design. Through the environmental feature assignment and automatic matching mechanism, the waterproofing level can be adjusted according to specific geographical and environmental conditions, avoiding a "one-size-fits-all" design approach. For example, Class A projects use Class I waterproofing in Class I environments, while Class C projects use Class III waterproofing in Class III environments. By clarifying the waterproofing level requirements for different locations and environmental conditions, the risk of leakage can be effectively reduced and the service life of the building can be extended.

[0031] Furthermore, if Figure 4 As shown, the waterproof level determination subsystem 3 includes: The module 31 for obtaining the result of factor discrimination is used to determine the type of project, the importance of the waterproofing part and the function based on the result of the first factor discrimination; and to determine the environmental conditions of the project based on the result of the second factor discrimination and assign an environmental category value; The factor judgment result combination module 32 is used to combine Class A, Class B, or Class C with Class I, Class II, or Class III according to preset mapping rules, output the first, second, or third waterproof grade, and obtain the final waterproof grade judgment result; and adjust the rainfall amount for open-cut underground projects and roof or exterior wall projects; The factor judgment result verification module 33 is used to call a preset waterproof construction practice library based on the final waterproof level judgment result; build a waterproof level simulation model, and input the final waterproof level judgment result into the waterproof level simulation model for simulation verification.

[0032] Preferably, this embodiment uses the first factor's discrimination results to determine the project type, waterproofing location, and functional importance. It also uses the second factor's discrimination results to determine the project's environmental conditions and assign an environmental category value. Based on preset mapping rules, Classes A, B, and C are combined with Classes I, II, or III to output a Class I, Class II, or Class III waterproofing rating. Adjustments are made for rainfall in open-cut underground projects and roof or exterior wall projects. Based on the final waterproofing rating determination results, a preset library of waterproofing construction practices is invoked, and a waterproofing rating simulation model is constructed for simulation verification. This embodiment considers the impact of the project's environmental conditions (such as climate zone, precipitation, and soil type) on waterproofing rating, determining the waterproofing rating by categorizing it into Classes I, II, and III, embodying the principle of "adapting to local conditions." The waterproofing rating is determined based on both the project type and the environmental category, with Classes I, II, and III corresponding to different waterproofing requirements. The introduction of simulation models and automated identification technology promotes the modernization of waterproofing design for buildings and municipal engineering projects. Furthermore, its modular design and flexible mapping rules make it highly versatile and scalable, making it applicable to a variety of engineering scenarios.

[0033] Furthermore, if Figure 5 As shown, the factor judgment result combination module 32 includes: Sensitivity analysis submodule 321 is used to define and classify project categories A, B, or C and waterproofing environments I, II, or III. Based on the importance of the project's waterproofing and its sensitivity to leakage, Category A is sensitive to leakage, Category B is normal, and Category C is insensitive to leakage. The three-level waterproof combination submodule 322 is used to cross-combine project categories and environmental categories to form a mapping rule framework; Class A projects and Class I environments are combined to correspond to Class I waterproofing; Class B projects and Class II environments are combined to correspond to Class II waterproofing; Class C projects and Class III environments are combined to correspond to Class III waterproofing; The adjustment rule submodule 323 is used to supplement the adjustment rules according to the specific project type. For areas affected by rainfall, the waterproof category assignment is adjusted based on rainfall data; for open-cut underground projects, the environmental category is refined based on groundwater pressure and soil corrosivity.

[0034] Preferably, the embodiment divides the engineering waterproofing grades into Class A (sensitive to leakage), Class B (ordinary case), and Class C (not sensitive to leakage) by defining the division basis of engineering categories (A, B, and C) and waterproofing use environment categories (I, II, and III), combining the importance of engineering waterproofing function and the sensitivity to leakage; a complete waterproofing grade mapping rule framework is formed by cross-combining engineering categories and environment categories; and the rules are allowed to be supplemented and adjusted according to specific engineering types. For example, for parts affected by rainfall, the waterproofing category assignment can be adjusted according to rainfall data; and for underground engineering by open-cut method, the environment category is refined in combination with groundwater pressure and soil corrosiveness. The waterproofing grade and construction requirements can be more accurately determined, thereby effectively reducing the risk of leakage. For example, first-class waterproofing is suitable for Class A engineering sensitive to leakage and Class I environment, requiring higher waterproofing standards; and third-class waterproofing is suitable for Class C engineering not sensitive to leakage and Class III environment, reducing construction cost. This grading management method helps optimize resource allocation and improve engineering quality; according to the waterproofing use environment category and engineering category, the selection range of waterproofing materials and their durability requirements can be clearly defined. The sensitivity analysis, three-class waterproofing combination, and adjustment rule design provide a standardized tool for waterproofing management of building and municipal engineering.

[0035] Further, as shown in Figure 6 The factor judgment result verification module 33 includes: The engineering waterproofing collection submodule 331 is configured to deploy an Internet of Things sensor network at key positions to collect environmental parameters such as seepage height, temperature, humidity, Cl⁻ concentration, and corrosion current; and to capture images of the inner wall backwater surface after the water seepage test to record visual information of the leakage points. The waterproofing grade simulation model submodule 332 is configured to construct an input to a waterproofing grade simulation model based on the final waterproofing grade, perform pattern recognition on characteristics such as abnormal fluctuations in the temperature-humidity curve and sharp increases in Cl⁻ concentration, perform pixel-level segmentation on the wet area in the inner wall image to accurately identify the number, area, and distribution pattern of the leakage points. The adjustment waterproofing grade discrimination submodule 333 is configured to compare and analyze the simulation results and the waterproofing grade discrimination results, adjust the comparison and analysis results to the final waterproofing grade discrimination results, and output a waterproofing construction method design scheme.

[0036] Preferably, the present embodiment collects environmental parameters such as water seepage height, temperature, humidity, Cl⁻ concentration, and information such as corrosion current in real time by deploying an Internet of Things sensor network at key locations. These sensors can accurately monitor the microenvironment changes of the building waterproof layer and provide reliable data support for waterproof performance evaluation; image capture is performed on the inner wall back surface after the water test, and visual information of the leakage point is recorded. This process combines infrared thermal imaging technology and image processing technology, analyzes the wet area in the image, realizes pixel-level segmentation, and accurately identifies the number, area, and distribution form of the leakage point; based on the final waterproof grade, input into the model, pattern recognition is performed on the temperature-humidity curve abnormal fluctuation, Cl⁻ concentration steep increase and other characteristics. Compare the simulation results with the waterproof grade determination results, adjust the final waterproof grade determination results based on the comparative analysis results, and output the waterproof construction design scheme. Through the Internet of Things sensor and image processing technology, real-time and accurate monitoring of the building waterproof layer is realized, reducing the error and subjective judgment of manual inspection; the application of infrared thermal imaging technology and pattern recognition technology makes the detection of leakage points more efficient, especially in the detection of concealed areas; through simulation models and data analysis, scientific basis can be provided for construction personnel, so as to optimize the waterproof construction method and improve the engineering quality; the intelligent monitoring system can early warning potential problems, avoid structural damage or safety hazards caused by leakage, and reduce the later maintenance cost.

[0037] Further, as shown in Figure 7 , the waterproof grade simulation model submodule 332 includes: The dynamic distribution analysis unit 3321 is used for dynamic analysis of the temperature and humidity curve, identification of abnormal fluctuation characteristics, and judgment of corrosion risk combined with chemical indicators such as Cl⁻ concentration steep increase; pixel-level segmentation of the inner wall image is performed to automatically identify the wet area and calculate the number, area, and distribution form of the leakage point; The simulation simulation failure probability unit 3322 is used for inputting the final waterproof grade into the waterproof grade simulation model based on material performance and structure characteristics, simulating the failure probability under different waterproof grades; environmental parameters and image recognition results are input into the waterproof grade simulation model; The waterproof data adjustment unit 3323 is used for simulating the influence of temperature-humidity coupling on the waterproof layer, predicting the leakage development trend, obtaining actual leakage data, comparing the actual leakage data with the simulation results in the waterproof grade simulation model, and adjusting the waterproof grade simulation model parameters.

[0038] Preferably, this embodiment dynamically analyzes the temperature and humidity curve to identify abnormal fluctuation characteristics, and determines the corrosion risk in combination with chemical indicators such as Cl⁻ concentration. The system enables real-time monitoring of building waterproofing layers and structures, improving early warning capabilities for leakage and corrosion risks. It combines chemical indicators (such as Cl⁻ concentration) with physical parameters (such as temperature and humidity) to enhance assessment accuracy and reliability. A waterproofing simulation model is constructed based on waterproofing grades to simulate failure probabilities under different waterproofing grades, and environmental parameters and image recognition results are input into the model. By simulating changes in material properties under different environmental conditions, the failure probability of the waterproofing layer can be predicted in high-temperature and high-humidity or low-temperature and low-humidity environments. A waterproofing assessment method based on material properties and structural characteristics is provided, providing a scientific basis for optimizing waterproofing design. Simulations can identify potential waterproofing problems in advance, avoiding significant losses during actual construction. The impact of temperature-humidity coupling on the waterproofing layer is simulated to predict leakage trends, and simulation model parameters are adjusted based on actual leakage data. By comparing actual leakage data with simulation results, the parameter settings of the waterproofing simulation model can be optimized, improving the model's prediction accuracy. Dynamic adjustment and optimization of waterproofing layer performance is achieved, improving the model's adaptability and accuracy. Adjusting model parameters based on actual data feedback enhances the model's responsiveness to complex environmental conditions.

[0039] Furthermore, if Figure 8 As shown, the simulation failure probability unit 3322 includes: The waterproof data pre-processing subunit 33221 is used to perform distortion correction on the collected interior wall images to eliminate errors caused by shooting angle or lens deformation; normalize time series data such as temperature and humidity to eliminate dimensional differences; and extract features from environmental parameters and images; Training the waterproof grade simulation model subunit 33222 is used to combine environmental data with image features to form a multi-dimensional input vector; measure the difference between the predicted segmentation map and the true label, update the weight, and combine the learning rate decay strategy to accelerate convergence; train the leakage point segmentation and waterproof grade classification, sharing the underlying features; The verification and discrimination result subunit 33223 is used to adjust the learning rate, batch size and number of iterations, select the optimal combination, obtain the final waterproof grade simulation model, input the newly collected images and environmental parameters, output the number, area and distribution status of penetration points, and generate the final discrimination result in combination with the waterproof grade standard.

[0040] Preferably, this embodiment performs distortion correction on the captured interior wall images to eliminate errors caused by shooting angle or lens distortion. It also performs normalization on time-series data such as temperature and humidity to eliminate dimensional differences. This normalization process unifies the value ranges of each feature, avoiding model training bias caused by scale differences. Feature extraction is performed on environmental parameters and images. Feature extraction is the foundation for subsequent model training. By extracting key features in the image (such as cracks and deformation), the model's recognition capabilities can be enhanced. This improves image quality and data accuracy, providing high-quality input data for subsequent model training. Environmental data is combined with image features to form a multidimensional input vector; the weights are updated by measuring the difference between the predicted segmentation map and the true label, and the learning rate decay strategy is combined to accelerate convergence; the leakage point segmentation and waterproof grade classification share the underlying features; the convergence speed and prediction accuracy of the model are improved, especially in the leakage point segmentation and waterproof grade classification tasks; by sharing the underlying features, repeated calculations are reduced and the operation efficiency of the model is improved; the learning rate, batch size and number of iterations are adjusted, and the optimal combination is selected to obtain the final waterproof grade simulation model; the newly collected images and environmental parameters are input, the number, area and distribution status of the penetration points are output, and the final judgment result is generated in combination with the waterproof grade standard; the judgment result generated in combination with the waterproof grade standard improves the objectivity and reliability of the evaluation results.

[0041] Furthermore, if Figure 9 As shown, adjusting the waterproof level determination submodule 333 includes: The simulation result grading unit 3331 is used to compare and analyze the simulation results output by the waterproof grade simulation model with the actual engineering test data, identify simulation deviations and calibrate the waterproof grade simulation model data; and grade the calibrated waterproof grade simulation model results; The simulation result classification unit 3331 includes: Aligning simulation and measured data involves inputting simulation results from a waterproofing grade A simulation model (e.g., leakage risk distribution maps and waterproofing layer stress field data) and actual engineering inspection data (e.g., leakage points measured by infrared thermal imagers and waterproofing layer thickness measured by ultrasonic thickness gauges). Aligning the geographic coordinates of the simulation results with the measured data ensures that data at the same location are comparable. Unifying the dimensions of the simulated and measured values ​​(e.g., converting leakage probability to a 0-1 interval) results in a spatially aligned simulation-measurement dataset, which includes the simulated predicted value for each inspection point and the measured value at the corresponding location. Deviation index calculation and root cause analysis: Input a spatially aligned simulation-measurement data set, obtain the absolute difference between the simulated and measured values ​​point by point, and generate a deviation heat map. Feature clustering is performed on high-deviation areas (difference > threshold) (such as areas with concentrated leakage points and areas of abnormal material thickness). Deviation patterns are associated with simulation model parameters (such as material elastic modulus assumptions and joint treatment coefficients). The resulting deviation root cause association table contains the spatial distribution of high-deviation areas, a list of the main simulation parameters that cause the deviation, and the weight of each parameter's contribution to the deviation. Dynamic calibration of model parameters: Input the deviation root cause association table (root cause parameters and contribution weights), and sort the parameters to be calibrated in descending order of contribution weight (for example, parameters with contribution weights greater than 5% are adjusted first). Incremental parameter adjustment: Perform small iterative corrections on high-weight parameters (for example, elastic modulus ±2%). After each round of adjustment, rerun the simulation model to obtain the deviation change rate. When the deviation change rate is less than the convergence threshold, terminate the iteration. Output the calibrated waterproof grade simulation model, which meets the following requirements: the average deviation between the simulation results and the measured data is reduced to ≤3%; the area of ​​the high deviation area is reduced by ≥60%. Calibration verification and reclassification: Input the calibrated waterproofing grade simulation model and apply the calibrated model to other similar engineering cases to verify generalization capabilities. Dynamically adjust the waterproofing grade classification threshold based on the distribution characteristics of the calibrated simulation results (e.g., the original "Level 1 waterproofing" corresponds to a leakage probability of ≤1%, which is adjusted to ≤0.8% after calibration). Output the calibrated and optimized simulation results, including: updated waterproofing grade classification standards; verification report of the calibrated model in the new scenario. The waterproof grade matching scheme unit 3332 is used to modify the final waterproof grade judgment result based on the grade classification result of the simulation result; according to the adjusted waterproof grade, a corresponding scheme is matched from a preset construction method library; Among them, the waterproof level judgment correction and solution matching process Verify the grading results: Input the calibrated waterproofing grade simulation results (output from unit 3331, including the waterproofing grade classification for each area); compare the current grading results with historical identification records of similar projects to identify abnormal grade intervals (e.g., a sudden change in grade to Grade 1 in an area with no similar cases in historical data); check whether the simulation parameters used for grading (e.g., leakage probability threshold) meet the requirements of current regulations; output the verified grading results, including: the corrected abnormal grade interval (e.g., downgrading an abnormal Grade 1 area to Grade 2) and a compliance inspection report; Dynamic discrimination result correction, input the level division result after verification; waterproof level upgrade by one level for the leakage point concentrated area (from the pixel-level segmentation result); maintain the original level for the area with simulation confidence > 95% and no leakage signal; eliminate the problem of too large level difference between adjacent areas (such as three-level and one-level adjacent), generate a transition level band through interpolation algorithm; output the corrected waterproof level distribution map, which meets the requirements of positive correlation between leakage risk and level intensity and spatial continuity meeting the needs of engineering practice; Construction method library intelligent matching, input the corrected waterproof level distribution map; level-scheme mapping rules: first-level waterproof area matches "double-layer membrane + grouting reinforcement" scheme; second-level waterproof area matches "single-layer membrane + sealant" scheme; third-level waterproof area matches "coating waterproofing + local reinforcement" scheme; for the leakage point concentrated area (visualized unit 3333 input), add "high molecular additional layer" based on the matched scheme; automatically adjust the construction parameters (such as 20% increase in membrane lap length) according to the additional layer thickness requirement; output the regionalized waterproof construction scheme set, including construction method details of each sub-area; additional layer parameter quantization table.

[0042] Visual output unit 3333 for adding additional layer to the leakage point concentrated area identified by pixel-level segmentation; parameter quantization through verification of construction parameters; visual output of the corrected final waterproof level discrimination result.

[0043] Preferably, the embodiment compares the output results of the waterproof level simulation model with the actual engineering detection data, identifies simulation deviations and calibrates the waterproof level simulation model data. Then, the waterproof level is divided according to the calibrated data; through comparison and analysis of simulation and actual data, the accuracy and reliability of the waterproof level model can be effectively improved, and errors caused by model deviation can be reduced, thereby providing more reliable basis for subsequent design and construction; based on the level division of simulation results, the final waterproof level discrimination result is corrected, and the corresponding waterproof scheme is matched from the pre-set construction method library according to the adjusted waterproof level; through the correction of the discrimination result, the suitable waterproof scheme can be matched more accurately, thereby optimizing the design and ensuring that the waterproof performance meets the actual needs. At the same time, this matching mechanism also improves the scientificity and economy of engineering design. For the leakage point concentrated area identified by pixel-level segmentation, an additional layer is added, the parameter is quantized through verification of construction parameters, and the corrected final waterproof level discrimination result is visualized; through visualization means, the waterproof level discrimination result and leakage point distribution can be directly displayed, which is convenient for engineers to understand and analyze.

[0044] As Figure 10As shown, the embodiment also provides an embodiment of the building and municipal engineering waterproof grade intelligent determination method. In the embodiment, the building and municipal engineering waterproof grade intelligent determination method is applied to the building and municipal engineering waterproof grade intelligent determination system in the above embodiment. The building and municipal engineering waterproof grade intelligent determination method specifically includes the following steps: Step S1: Obtain the waterproof category of the target project, and assign a first category value. The building engineering or municipal engineering is then assigned a second category value. The building engineering is divided into underground engineering, roof engineering, external wall engineering, indoor engineering, and municipal engineering is divided into underground engineering, road and bridge engineering, and water storage engineering. Finally, a third category value is assigned to each item under the second category value. Through the above assignment, the A, B, and C categories can be directly determined. Specifically, the software accepts input by selection in the terminal, and the first factor determination result can be obtained. Step S2: Obtain the waterproof use environment category of the target project, and assign a first category value. The building engineering or municipal engineering is then assigned a second category value. The building engineering is divided into underground engineering, roof engineering, external wall engineering, indoor engineering, and municipal engineering is divided into underground engineering, road and bridge engineering, and water storage engineering. Finally, a third category value is assigned to each item under the second category value. Through the above assignment, the I, II, and III categories can be directly determined. Among them, the problem of selecting the third category value of roof engineering and external wall engineering involves the assignment of annual precipitation of the target project location. Big data is involved, and the precipitation values of various places are collected and added to the software for direct use by designers. Step S3: After the selection and superposition of the above two factors, the software directly obtains the determination result of the waterproof grade and directly provides the corresponding waterproof construction design scheme.

[0045] Preferably, the embodiment classifies and assigns the target project in three levels (the first level is the engineering type, the second level is the engineering part, and the third level is the specific engineering content), so as to determine the waterproof class and the use environment class. In the selection of the third level class value of the roof engineering and the outer wall engineering, the annual precipitation data of the location of the target project is combined, and the big data technology is used for assignment. By inputting relevant information through the terminal software, the waterproof grade is automatically determined, and the corresponding waterproof structure design scheme is provided. This intelligent operation reduces the complexity of manual calculation and improves the efficiency; by clearly dividing the waterproof class and the use environment class, combined with the support of big data, the waterproof grade can be determined more accurately, and the design deviation caused by subjective judgment can be avoided; by using the software to automatically determine the waterproof grade, the time cost of manual calculation is reduced, and the possibility of human error is also reduced; according to the waterproof grade, the corresponding waterproof structure design scheme is directly generated, which provides a standardized and systematic reference for the designers, and ensures the scientificity and rationality of the waterproof design.

[0046] As shown in Figure 11 The embodiment provides an embodiment of an electronic device. In the embodiment, the electronic device 4 includes a processor 41 and a memory 42 coupled with the processor 41.

[0047] The memory 42 stores program instructions for implementing the building and municipal engineering waterproof grade intelligent determination system of any of the above embodiments.

[0048] The processor 41 is configured to execute the program instructions stored in the memory 82 to perform the building and municipal engineering waterproof grade intelligent determination system.

[0049] The processor 41 can also be referred to as a CPU (Central Processing Unit). The processor 41 can be an integrated circuit chip with signal processing capability. The processor 41 can also be a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic device, a discrete gate or transistor logic device, a discrete hardware component. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor.

[0050] Further, Figure 12The storage medium 5 of the embodiment of the present application stores program instructions 51 capable of implementing all the methods described above. The program instructions 51 can be stored in the storage medium in the form of a software product, and include a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) or a processor to execute all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage medium includes a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and various media capable of storing program codes, or a terminal device such as a computer, a server, a mobile phone, or a tablet.

[0051] In several embodiments provided by the present application, it should be understood that the disclosed system, device and method can be implemented in other manners. For example, the described device embodiments are merely schematic. For example, the division of the units is only a logical function division. There can be another division manner for the actual implementation. For example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the displayed or discussed mutual couplings or direct couplings or communication connections can be indirect couplings or communication connections through some interfaces, devices or units, and can be electrical, mechanical or other forms.

[0052] In addition, each function unit in the various embodiments of the present application can be integrated into a processing unit, or each unit can exist alone physically, or two or more units can be integrated into one unit. The above integrated unit can be implemented in the form of hardware, or can be implemented in the form of a software function unit. The above is merely an embodiment of the present application, and does not limit the patent scope of the present application. Any equivalent structure or equivalent flow transformation made by using the content of the specification and drawings of the present application, or directly or indirectly applied to other related technical fields, is also included in the patent protection scope of the present application.

[0053] The specific embodiments of the application are described in detail above, but they are only examples. The present application is not limited to the specific embodiments described above. Any equivalent modification or substitution made by those skilled in the art to the present application is also within the scope of the present application. Therefore, equivalent transformations, modifications, improvements, etc. made without departing from the spirit and principle range of the present application should be included in the scope of the present application.

Claims

1. An intelligent determination system for waterproof grade of buildings and municipal engineering, characterized by: The intelligent determination system for waterproof grade of buildings and municipal engineering projects includes: The first factor discrimination subsystem is used to obtain the waterproofing category of the target project and assign a first-level category value, construction engineering or municipal engineering. It then assigns a second-level category value. Construction engineering is divided into underground engineering, roofing engineering, exterior wall engineering, and interior engineering. Municipal engineering is divided into underground engineering, road and bridge engineering, and water storage engineering. Finally, it assigns a third-level category value, which belongs to each content of the second-level category value. Through the above assignments, it directly determines Class A, B, and C. The second factor discrimination subsystem is used to obtain the waterproof use environment category of the target project, assign the first-level category value, construction engineering or municipal engineering, and then assign the second-level category value. Construction engineering is divided into underground engineering, roofing engineering, exterior wall engineering, and interior engineering. Municipal engineering is divided into underground engineering, road and bridge engineering, and water storage engineering. Finally, the third-level category value is assigned to each content belonging to the second-level category value. Through the above assignment, categories I, II, and III are directly determined; The waterproof grade judgment subsystem is used to directly obtain the waterproof grade judgment result after selecting and superimposing the above two factors, and directly provide the corresponding waterproof construction design plan.

2. The intelligent determination system for waterproof grade of buildings and municipal engineering projects according to claim 1, characterized in that: The first factor discriminant subsystem includes: The secondary category value module is used to classify target projects into two categories: construction projects and municipal projects, and assign first-level category values; to classify construction projects into underground projects, roofing projects, exterior wall projects, and interior projects; and to classify municipal projects into underground projects, road and bridge projects, and water storage projects, and assign second-level category values; The three-level category value module is used to assign a third-level category value based on the importance of the project's waterproofing function and leakage sensitivity. Projects that are highly sensitive to leakage and cause significant social, economic or environmental impacts are assigned Category A; projects that are insensitive to leakage and whose leakage impact is less than a preset threshold are assigned Category C; and projects between Category A and Category C are assigned Category B. The automatic category matching module is used to automatically match the three-level categories in the software terminal by selecting the level or inputting relevant parameters, and finally determine the project waterproofing category as Class A, B or C; among them, the level selection is to select the penetration sensitivity for the building project and the roofing project.

3. The intelligent determination system for waterproof grade of buildings and municipal engineering projects according to claim 1, characterized in that: The second factor discrimination subsystem includes: The environmental classification module is used to obtain the waterproofing environment category of the target project and assign a first-level category value, construction engineering or municipal engineering. It is further subdivided into second-level category values ​​according to the location. Construction engineering is divided into underground, roofing, exterior wall and interior engineering; municipal engineering is divided into underground, road and bridge and water storage engineering. The environmental characteristic assignment module is used to assign values ​​according to the environmental characteristics of specific parts and assign third-level category values; environmental characteristics are used to set environmental parameter judgment rules based on rainfall intervention, corrosive environment, alternating dry and wet conditions; The automatic matching environmental parameter module is used to collect national precipitation data, geological conditions and corrosion area distribution through the built-in database, input the project's geographical location and location type, and automatically match the environmental parameters; Class A projects in water storage projects that are sensitive to leakage adopt level 3 waterproofing in Class I environments, and Class C projects adopt level 3 waterproofing in Class III environments.

4. The intelligent determination system for waterproof grade of buildings and municipal engineering projects according to claim 1, characterized in that: Waterproof grade identification subsystem, including: The module for obtaining the result of factor discrimination is used to determine the type of project, the importance of waterproofing parts and functions based on the result of the first factor discrimination; and to determine the environmental conditions of the project based on the result of the second factor discrimination and assign an environmental category value; The factor judgment result combination module is used to combine Class A, B, or C with Class I, II, or III according to preset mapping rules, outputting the first, second, or third waterproof grade, and obtaining the final waterproof grade judgment result; and adjusting the rainfall amount for open-cut underground projects and roof or exterior wall projects; The factor judgment result verification module is used to call the preset waterproof construction practice library based on the final waterproof grade judgment result; build a waterproof grade simulation model, and input the final waterproof grade judgment result into the waterproof grade simulation model for simulation verification.

5. The intelligent determination system for waterproof grade of buildings and municipal engineering projects according to claim 4, characterized in that: The factor judgment result combination module includes: The sensitivity analysis submodule is used to clarify the definition and classification basis of project categories A, B or C and waterproofing environment categories I, II or III; based on the importance of the project waterproofing and the degree of leakage sensitivity, category A is sensitive to leakage, category B is normal, and category C is not sensitive to leakage; The three-level waterproof combination submodule is used to cross-combine project categories and environmental categories to form a mapping rule framework; Class A projects and Class I environments are combined to correspond to Class I waterproofing; Class B projects and Class II environments are combined to correspond to Class II waterproofing; Class C projects and Class III environments are combined to correspond to Class III waterproofing; The adjustment rule submodule is used to supplement the adjustment rules according to specific project types. For areas affected by rainfall, the waterproofing category assignment is adjusted based on rainfall data; for open-cut underground projects, the environmental category is refined based on groundwater pressure and soil corrosivity.

6. The intelligent determination system for waterproof grade of buildings and municipal engineering projects according to claim 4, characterized in that: The factor judgment result verification module includes: The engineering waterproofing data collection submodule is used to deploy IoT sensor networks in key locations to collect environmental parameters such as water seepage height, temperature, humidity, and Cl⁻ concentration and corrosion current. It also captures images of the back surface of the interior wall after the water spray test and records visual information about the leakage point. The waterproof grade simulation model submodule is used to construct an input to the waterproof grade simulation model based on the final waterproof grade, perform pattern recognition on features such as abnormal fluctuations in the temperature-humidity curve and sharp increases in Cl⁻ concentration; perform pixel-level segmentation on wet areas in interior wall images to identify the number, area, and distribution of leakage points; The waterproof grade judgment submodule is adjusted to compare and analyze the simulation results with the waterproof grade judgment results, adjust the final waterproof grade judgment results based on the comparative analysis results, and output the waterproof construction design plan.

7. The intelligent determination system for waterproof grade of buildings and municipal engineering projects according to claim 6, characterized in that: Waterproof grade simulation model submodule, including: The dynamic distribution analysis unit is used to dynamically analyze the temperature and humidity curves, identify abnormal fluctuation characteristics, and determine the corrosion risk based on the chemical indicator of a sharp increase in Cl⁻ concentration. It also performs pixel-level segmentation on interior wall images, automatically identifies wet areas, and calculates the number, area, and distribution of leakage points. The simulation failure probability unit is used to construct an input to the waterproof level simulation model based on the final waterproof level, simulate the failure probability under different waterproof levels based on material properties and structural characteristics; input environmental parameters and image recognition results into the waterproof level simulation model; Adjust the waterproof data unit to simulate the impact of temperature-humidity coupling on the waterproof layer and predict the leakage development trend; obtain actual leakage data, compare the actual leakage data with the simulation results in the waterproof grade simulation model, and adjust the parameters of the waterproof grade simulation model.

8. The intelligent determination system for waterproof grade of buildings and municipal engineering projects according to claim 7, characterized in that: Simulation failure probability unit, including: The waterproof data pre-processing sub-unit is used to perform distortion correction on the collected interior wall images to eliminate errors caused by shooting angle or lens deformation; normalize the temperature and humidity time series data to eliminate dimensional differences; and extract features from environmental parameters and images; Training the waterproof grade simulation model subunit combines environmental data with image features to form a multi-dimensional input vector; measures the difference between the predicted segmentation map and the true label, updates the weights, and uses a learning rate decay strategy to accelerate convergence; trains leakage point segmentation and waterproof grade classification, sharing underlying features; The verification and discrimination result subunit is used to adjust the learning rate, batch size, and number of iterations, select the optimal combination, and obtain the final waterproof grade simulation model. It inputs the newly collected images and environmental parameters, outputs the number, area, and distribution status of penetration points, and generates the final discrimination result in combination with the waterproof grade standard.

9. The intelligent determination system for waterproof grade of buildings and municipal engineering projects according to claim 6, characterized in that: Adjust the waterproof level judgment submodule, including: The simulation result grading unit is used to compare and analyze the simulation results output by the waterproof grade simulation model with the actual engineering test data, identify simulation deviations and calibrate the waterproof grade simulation model data; and grade the calibrated waterproof grade simulation model results; The waterproof grade scheme matching unit is used to modify the final waterproof grade judgment result based on the grade classification result of the simulation result; according to the adjusted waterproof grade, the corresponding scheme is matched from the preset construction practice library; The visualization output unit is used to add an additional layer to the concentrated leakage point area identified by pixel-level segmentation; quantify the parameters by verifying the construction parameters; and visualize the corrected final waterproof grade judgment result.

10. A method for intelligently determining the waterproof grade of buildings and municipal engineering projects, which is applied to the intelligent system for determining the waterproof grade of buildings and municipal engineering projects as claimed in any one of claims 1 to 9, characterized in that: The method for intelligently determining the waterproof grade of buildings and municipal engineering projects specifically comprises the following steps: Obtain the waterproofing category of the target project and assign a first-level category value, construction engineering or municipal engineering. Then assign a second-level category value. Construction engineering is divided into underground engineering, roofing engineering, exterior wall engineering, and interior engineering. Municipal engineering is divided into underground engineering, road and bridge engineering, and water storage engineering. Finally, assign a third-level category value, which belongs to each content of the second-level category value. Through the above assignment, it can be directly determined as Class A, B, and C. Specifically, the first factor identification result can be obtained by selecting in the terminal and the software accepting the input; Obtain the waterproofing use environment category of the target project, assign the first-level category value, construction engineering or municipal engineering, and then assign the second-level category value. Construction engineering is divided into underground engineering, roofing engineering, exterior wall engineering, and interior engineering. Municipal engineering is divided into underground engineering, road and bridge engineering, and water storage engineering. Finally, assign the third-level category value, which belongs to each content of the second-level category value. Through the above assignment, categories I, II, and III can be directly determined; The selection of the third-level category values ​​for roofing and exterior wall projects involves assigning annual precipitation values ​​to the target project location. This involves big data, collecting precipitation values ​​from various locations and incorporating them into the software for direct use by designers. After selecting and superimposing the above two factors, the software directly obtains the waterproof grade judgment result and directly provides the corresponding waterproof construction design plan.

Images