Risk positioning method and system for waterproof engineering, and storage medium

Abstract

The invention provides a risk positioning method and system for waterproof engineering and a storage medium, and relates to the technical field of risk positioning, and the method comprises the steps: obtaining the types of waterproof structures, including rigid, flexible and composite waterproof structures; segmenting the waterproof project to generate a plurality of sub-projects; waterproof construction features are collected, and a plurality of waterproof feature sets are generated and comprise waterproof layer materials, waterproof connection environments, waterproof layer connection structures and environment permeation features; constructing a waterproof failure prediction model, performing failure probability prediction according to a preset service life, and generating a plurality of waterproof failure probabilities; and positioning the risk sub-project of which the waterproof failure probability is greater than a preset probability, and performing failure risk reminding of the waterproof layer. The technical problems that in the prior art, a systematic classification and management means for waterproof engineering is lacked, waterproof layers of different structures are difficult to maintain in a targeted mode, and consequently management is improper, the leakage risk is increased, and the maintenance cost is increased are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of risk positioning, and in particular to a risk positioning method, system and storage medium for waterproof engineering. Background Art

[0002] The main task of waterproofing is to prevent water from penetrating, thereby protecting the building structure and extending the service life of the building. However, modern buildings use a variety of waterproofing structures, which are distributed in different parts of the building, such as basements, roofs, and exterior walls. Due to the different waterproofing requirements, environmental conditions, and material properties in each area, the management and maintenance of waterproofing projects become complicated. The existing technology lacks systematic classification and management methods, making it difficult to carry out targeted maintenance of waterproof layers of different structures, which can easily lead to improper management, increased risk of leakage, and increased maintenance costs. Summary of the invention

[0003] This application provides a risk positioning method, system and storage medium for waterproofing projects, aiming to solve the technical problems that the existing technology lacks systematic classification and management methods for waterproofing projects, making it difficult to carry out targeted maintenance of waterproof layers of different structures, resulting in improper management, increased leakage risk and increased maintenance costs.

[0004] The first aspect disclosed in the present application provides a risk positioning method for waterproof projects, the method comprising: obtaining the waterproof structure type of the waterproof project in the target building, wherein the waterproof structure type includes a rigid waterproof structure, a flexible waterproof structure and a composite waterproof structure; dividing the waterproof project according to the rigid waterproof structure, the flexible waterproof structure and the composite waterproof structure to generate a plurality of sub-projects; collecting waterproof construction features of the plurality of sub-projects to generate a plurality of waterproof feature sets corresponding to the plurality of sub-projects, wherein any waterproof feature set includes waterproof layer material, waterproof connection environment, waterproof layer connection structure and environmental penetration features; constructing a waterproof failure prediction model, inputting the plurality of waterproof feature sets into the waterproof failure prediction model, predicting the failure probability according to the preset life of the waterproof project, and generating a plurality of waterproof failure probabilities; locating the risk sub-projects whose waterproof failure probability is greater than the preset probability according to the plurality of waterproof failure probabilities, and issuing a failure risk reminder for the waterproof layer.

[0005] The second aspect disclosed in the present application provides a risk positioning system for waterproof projects, the system is used for the above-mentioned risk positioning method for waterproof projects, the system includes: a structure type acquisition module, the structure type acquisition module is used to acquire the waterproof structure type of the waterproof project in the target building, wherein the waterproof structure type includes a rigid waterproof structure, a flexible waterproof structure and a composite waterproof structure; a waterproof project segmentation module, the waterproof project segmentation module is used to segment the waterproof project according to the rigid waterproof structure, the flexible waterproof structure and the composite waterproof structure to generate multiple sub-projects; a construction feature acquisition module, the construction feature acquisition module is used to collect the multiple The sub-projects collect waterproof construction characteristics and generate multiple waterproof feature sets corresponding to the multiple sub-projects, wherein any waterproof feature set includes waterproof layer materials, waterproof connection environment, waterproof layer connection structure and environmental penetration characteristics; a failure probability prediction module, the failure probability prediction module is used to construct a waterproof failure prediction model, input the multiple waterproof feature sets into the waterproof failure prediction model, predict the failure probability according to the preset life of the waterproof project, and generate multiple waterproof failure probabilities; a failure risk reminder module, the failure risk reminder module is used to locate the risk sub-projects with waterproof failure probability greater than the preset probability according to the multiple waterproof failure probabilities, and provide failure risk reminders for the waterproof layer.

[0006] According to a third aspect disclosed in the present application, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, any step of the first aspect disclosed in the present application is implemented.

[0007] One or more technical solutions provided in this application have at least the following technical effects or advantages: Obtaining the waterproof structure type of the waterproof project in the target building can clarify the waterproof requirements and characteristics of each area of ​​the building at the beginning of the project. This identification process can effectively improve the pertinence of the waterproof system and provide accurate basic data for subsequent risk segmentation, feature collection and failure prediction; according to different waterproof structure types, the entire waterproof project is refined into multiple independent sub-projects. Such segmentation is based on structural and material characteristics to ensure that the waterproof characteristics of each sub-project unit are independent. Accurate sub-project segmentation not only reduces the risk of damage spread, but also facilitates subsequent separate maintenance and repair, and improves the stability and durability of the waterproof project; by collecting the waterproof construction characteristics of each sub-project, a comprehensive waterproof feature set of the sub-project is formed. These feature sets provide A comprehensive and systematic data foundation provides precise input for failure prediction, improving the accuracy and practicality of model predictions; a waterproof failure prediction model is constructed, which can accurately predict the probability of waterproof failure through historical data and similarity analysis. Multiple waterproof feature sets are analyzed through the waterproof failure prediction model, and failure probability prediction is made according to the preset life of the waterproof project. Multiple waterproof failure probabilities are generated to provide data support for subsequent maintenance decisions; multiple waterproof failure probabilities are used to locate risk sub-projects with failure probabilities higher than preset values, and failure risk reminders are generated. Risk reminders help managers preventively maintain high-risk areas, improve the foresight and pertinence of waterproof project management, thereby saving maintenance costs and avoiding losses.

[0008] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] Figure 1 A schematic flow chart of a risk location method for waterproofing projects provided in an embodiment of the present application.

[0010] Figure 2 A schematic diagram of the structure of a risk positioning system for waterproofing projects provided in an embodiment of the present application.

[0011] Explanation of the reference numerals: structure type acquisition module 10 , waterproof engineering segmentation module 20 , construction feature collection module 30 , failure probability prediction module 40 , failure risk reminder module 50 . DETAILED DESCRIPTION

[0012] The embodiments of the present application provide a risk positioning method, system and storage medium for waterproofing projects, thereby solving the technical problems that the prior art lacks systematic classification and management methods for waterproofing projects, making it difficult to carry out targeted maintenance of waterproofing layers of different structures, resulting in improper management, increased leakage risk and increased maintenance costs.

[0013] After introducing the basic principles of the present application, various non-limiting implementation methods of the present application will be specifically introduced below in conjunction with the accompanying drawings of the specification. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0014] Embodiment 1, as Figure 1 As shown, the embodiment of the present application provides a risk location method for waterproof engineering, the method comprising: The waterproof structure type of the waterproof project in the target building is obtained, wherein the waterproof structure type includes a rigid waterproof structure, a flexible waterproof structure and a composite waterproof structure.

[0015] Obtain information about waterproof design from the building's design drawings or engineering documents, especially the parts involving the waterproof system. The design drawings and documents usually mark the waterproofing requirements, material selection, and construction details of each area. According to the waterproof materials and construction characteristics, the waterproof structure is divided into rigid waterproof structure, flexible waterproof structure, and composite waterproof structure.

[0016] Among them, rigid waterproofing mainly relies on the compactness of structural materials (such as waterproof concrete, waterproof mortar, etc.) to block moisture. It has high hardness and strength and can withstand greater water pressure; flexible waterproofing mainly uses flexible materials such as waterproof membranes and waterproof coatings to form a waterproof layer with strong ductility; composite waterproofing refers to the combination of rigid waterproofing and flexible waterproofing materials to achieve multi-level protection in a waterproof system.

[0017] Through this step, the waterproof structures of various areas in the building are classified and recorded. For different areas of the building, the specific distribution of rigid waterproofing, flexible waterproofing or composite waterproofing is marked to provide basic data for subsequent waterproofing feature collection and risk analysis.

[0018] The waterproof project is divided according to the rigid waterproof structure, the flexible waterproof structure and the composite waterproof structure to generate a plurality of sub-projects.

[0019] By obtaining the type of waterproof structure and combining it with the design drawings of the waterproof project, the specific distribution of rigid waterproofing, flexible waterproofing or composite waterproofing in each waterproof area in the building can be identified, and the layout, size and specific location of each waterproof area can be confirmed.

[0020] According to the type of waterproof structure, different types of waterproof structures are divided into independent sub-projects. For example, the rigid waterproof area mainly relies on the density of the material and is usually used in concrete or mortar structures. According to the building design, select areas suitable for rigid waterproofing, including basements, foundations, walls, etc., and refer to the dividing lines of each floor and structural unit in the design drawings to generate independent rigid waterproof sub-projects; flexible waterproof areas rely on waterproof membranes or coatings and are suitable for areas that require ductility, such as roofs, balconies, etc. Such areas are more susceptible to climate change and can be divided into independent flexible waterproof sub-projects according to the areas in the building where waterproof membranes and coatings are used; composite waterproof areas use a combination of rigid and flexible materials and are suitable for places with high waterproofing needs, such as underground garages, foundation pits, etc. According to the combined material area of ​​composite waterproofing in the design drawings, the mixed waterproof part is divided into independent composite waterproof sub-projects.

[0021] The specific segmentation information of each sub-project, such as location, type, area, material, etc., is recorded in the database to form multiple sub-projects, so as to facilitate independent construction feature collection and risk positioning in the area of ​​each waterproof structure type. This process ensures a clear division of labor for the waterproof structure and improves the accuracy of subsequent risk analysis.

[0022] Waterproof construction features are collected for the multiple sub-projects to generate multiple waterproof feature sets corresponding to the multiple sub-projects, wherein any waterproof feature set includes waterproof layer materials, waterproof connection environment, waterproof layer connection structure and environmental penetration features.

[0023] Waterproof layer materials are collected for multiple sub-projects. Specifically, the types of waterproof materials used in the sub-projects are identified, such as waterproof concrete, waterproof mortar, waterproof membrane (such as SBS membrane), waterproof coating (such as polyurethane coating), etc. The characteristics of the waterproof materials are recorded, including thickness, ductility, waterproof grade, corrosion resistance and other information. These characteristics determine the material's impermeability and durability.

[0024] Waterproof connection environment data is collected for multiple sub-projects. Specifically, the installation location of each sub-project is determined, such as basements, roofs, walls, balconies, etc. These environmental types affect the compressive strength, durability, and construction requirements of the waterproof layer. For example, the roof may be exposed to the sun and eroded by precipitation, and the basement may face groundwater pressure.

[0025] The waterproof layer connection structure is collected for multiple sub-projects. Specifically, the structure of the waterproof layer itself and the connection with the building are determined. Multi-layer construction may be carried out, including the thickness of the waterproof layer at corners, pipe penetrations through walls, joints, etc.

[0026] Environmental penetration characteristics are collected for multiple sub-projects. Environmental penetration characteristics include environmental factors such as the climate, precipitation, groundwater level, soil corrosivity, etc. at the project site. These factors directly affect the durability of the waterproof layer. For example, waterproofing projects in high precipitation areas require more anti-seepage measures. High water levels will increase the pressure on the waterproof layer and affect its anti-seepage performance.

[0027] All the above information is integrated into multiple waterproof feature sets corresponding to multiple sub-projects. Each feature set contains detailed information such as the specific location of the sub-project, waterproof layer materials, connection environment, connection structure, environmental penetration characteristics, etc., providing rich input data for subsequent waterproof failure probability prediction, thereby improving the accuracy of risk positioning.

[0028] A waterproof failure prediction model is constructed, the multiple waterproof feature sets are input into the waterproof failure prediction model, failure probability prediction is performed according to the preset life of the waterproof project, and multiple waterproof failure probabilities are generated.

[0029] A large amount of historical waterproofing project data is collected, and a waterproofing failure prediction model is constructed based on a similarity analysis network. This model compares the similarity with historical data samples in the database to find failure samples similar to the current feature set, which is suitable for scenarios with a variety of waterproofing structures.

[0030] The waterproof feature set of each sub-project is input into the trained waterproof failure prediction model. The model uses the waterproof feature set and historical failure data to predict the failure probability of each sub-project within the preset life span and generate multiple waterproof failure probabilities, indicating the possibility of failure of the corresponding sub-project within the preset life span.

[0031] According to the multiple waterproof failure probabilities, the risk sub-projects with waterproof failure probabilities greater than preset probabilities are located, and failure risk reminders for the waterproof layer are issued.

[0032] According to the durability and actual needs of the waterproofing project, a failure probability threshold is set, such as 0.7 or 0.8, which is used to screen out high-risk sub-projects. From multiple waterproof failure probabilities, sub-projects with failure probabilities greater than the preset threshold are screened out as high-risk sub-projects, and failure risk reminders are generated for each high-risk sub-project. The failure risk reminder includes the specific location of the sub-project and the type of waterproofing structure used, as well as the failure probability and risk level, so that staff can quickly identify the severity of the risk. In this way, early warning and timely maintenance can be carried out before the waterproof layer fails, extending the service life of the waterproofing project and improving the overall safety of the building.

[0033] Furthermore, a waterproof failure prediction model is constructed, including: Collect historical waterproofing project samples and establish a waterproofing layer failure database, wherein the historical waterproofing project samples include waterproofing feature samples corresponding to rigid waterproofing structures, waterproofing feature samples corresponding to flexible waterproofing structures, and waterproofing feature samples corresponding to composite waterproofing structures, as well as time samples corresponding to the waterproofing layer turning into failures; based on the waterproofing layer failure database, construct the waterproofing failure prediction model, wherein the waterproofing failure prediction model is a similarity analysis network that can call samples in the waterproofing layer failure database and input features for similarity traversal comparison.

[0034] Historical waterproofing project samples of rigid waterproof structures, flexible waterproof structures and composite waterproof structures were collected, and the samples were stratified according to the type of waterproof structure (rigid, flexible, composite) to facilitate the model to distinguish the characteristics of different types of waterproof structures in comparison.

[0035] Record the detailed characteristics of each sample, including the waterproof layer material type, waterproof connection environment (such as basement, roof, etc.), waterproof layer connection structure (such as joints, corners, etc.), and environmental penetration characteristics (including climate conditions, precipitation, groundwater level, etc.), and determine the waterproof feature sample; record the time data from construction to failure for each sample, that is, the failure time sample, as the label data of the prediction model. The failure time reflects the durability of the waterproof layer under specific conditions. Store the waterproof characteristics and failure time of each sample to form a waterproof layer failure database.

[0036] A waterproof failure prediction model is constructed based on the waterproof layer failure database. The waterproof failure prediction model is a similarity analysis network. The goal of this network is to evaluate the failure probability of new input samples by comparing the feature similarities in historical data. A neural network-based similarity network, such as a twin neural network, can be used to accurately calculate the similarity of sample features.

[0037] Specifically, the similarity analysis network is trained to calculate the similarity between the newly input waterproof feature set and the samples in the database. The model traverses the samples in the database and compares them with the feature set of each historical sample. A specific similarity measurement method, such as cosine similarity, Euclidean distance, etc., is used to quantify the similarity between the input feature and each sample in the database. Through the similarity measurement, multiple historical samples with high similarity to the input feature set are screened out to form a similar sample set. When calculating the failure probability, the proportion of samples with a failure time shorter than the preset life in similar samples is counted as the failure probability output of the input feature set. For example, if 50% of similar samples fail within 5 years, the failure probability output by the prediction model is 0.5. A part of the historical samples is divided into a test set to verify the prediction accuracy of the similarity analysis network and ensure the failure prediction effect of the model under different feature combinations. According to the verification results, the similarity measurement method or screening threshold of the model is adjusted to improve the prediction accuracy, and finally an accurate waterproof failure prediction model is obtained.

[0038] Furthermore, the plurality of waterproof feature sets are input into the waterproof failure prediction model, and failure probability prediction is performed according to the preset life of the waterproof project to generate a plurality of waterproof failure probabilities, including: The waterproof layer failure database is called through the waterproof failure prediction model, all samples in the waterproof layer failure database are traversed, and similarity comparison is performed with the multiple waterproof feature sets in terms of waterproof layer materials, waterproof connection environment, waterproof layer connection structure and environmental penetration characteristics, so as to obtain multiple sample sets whose similarities with various features of the multiple waterproof feature sets are greater than a preset similarity; for the multiple sample sets, the proportion of samples whose time samples for the waterproof layer to turn into failure are less than the preset life span is statistically analyzed, and the multiple waterproof failure probabilities are output.

[0039] The waterproof layer failure database is called, all historical samples in the database are traversed, and the similarity is compared with the input waterproof feature set one by one. The similarity of the waterproof connection environment of the waterproof layer material, the waterproof layer connection structure and the environmental penetration characteristics is compared respectively. Specifically, the similarity is calculated for each feature. For example, for numerical features (such as thickness and precipitation), Euclidean distance or cosine similarity can be used; for classification features (such as material type and environmental type), Jaccard similarity or Hamiltonian distance can be used. After calculation, various feature similarities of multiple waterproof feature sets are obtained.

[0040] Set a preset similarity threshold, such as 0.8, and filter out samples whose various feature similarities of multiple waterproof feature sets exceed the threshold. For each waterproof feature set, one or more similar sample sets are obtained after screening. These samples reflect historical data that are closer to the input sub-project in terms of materials, environment, and structure.

[0041] For each similar sample set, extract the failure time data of historical samples, count the failure time distribution of these samples, and compare the failure time with the preset life of the waterproofing project (such as 10 or 20 years) to determine how many samples fail within the preset life. Specifically, calculate the proportion of samples that fail within the preset life as the failure probability of the sub-project. For example, if 60% of the samples in a similar sample set fail within the preset life, the failure probability is 0.6. Perform the above calculations on the waterproofing feature set of each sub-project to generate the corresponding failure probability for subsequent risk positioning and decision-making.

[0042] Furthermore, it also includes: The waterproof structure type to be optimized and the corresponding waterproof layer connection structure of the risk sub-project are obtained; the waterproof performance is optimized for the waterproof structure type to be optimized and the corresponding waterproof layer connection structure, and a recommended optimization decision is generated.

[0043] According to the failure probability calculated in the previous step, high-risk sub-projects with failure probability greater than the preset threshold are screened out, and these sub-projects are taken as objects that need to be optimized. For each high-risk sub-project, it is crucial to clarify the type of waterproof structure to be optimized. For example, a rigid waterproof structure may mainly rely on the density of the material, while a flexible waterproof structure may require special attention to the treatment of joints and expansion joints; record the corresponding waterproof layer connection structure, including the thickness of the waterproof layer, the sealing treatment of the joints, the reinforcement of the corners, etc. The treatment of these structures will directly affect the waterproof performance.

[0044] Waterproof structure optimization cases that can improve waterproofness are collected from historical waterproof engineering data. Based on the collected optimization cases, a data set containing the optimized waterproof layer connection structure is established. This database records the specific content of various optimization schemes and indicates the optimization effects, such as improving waterproofness and reducing water seepage. Using the similarity analysis method, the waterproof layer connection structure of the sub-project to be optimized is compared with the historical optimization cases in the optimization database. By comparing the similarity, the most suitable optimization scheme is screened out, multiple candidate optimization schemes are generated, and the expected effects of these optimization schemes are analyzed. A set of recommended optimization decisions are output based on the analysis results. The optimization decision will help improve the performance of the waterproof system and extend the service life of the waterproof layer, thereby reducing the risk of future failure.

[0045] Furthermore, the waterproof performance is optimized for the waterproof structure type to be optimized and the corresponding waterproof layer connection structure, and a recommended optimization decision is generated, including: Based on the historical waterproofing project construction records, multiple groups of waterproofing layer structure optimization samples that can improve waterproofing are collected, wherein the multiple groups of waterproofing layer structure optimization samples include samples that do not change the waterproofing structure type and samples that change the waterproofing structure type, and any sample includes an initial waterproofing layer connection structure, an optimized waterproofing layer connection structure and an optimization cost; a waterproofing layer optimization database is established with the multiple groups of waterproofing layer structure optimization samples, and the initial waterproofing layer connection structure whose similarity with the corresponding waterproofing layer connection structure is greater than a preset similarity is screened in the waterproofing layer optimization database to generate multiple groups of candidate optimized waterproofing layer connection structures; the waterproofing feature set of the risk sub-project is updated with the multiple groups of candidate optimized waterproofing layer connection structures and then input into the waterproofing failure prediction model for analysis to generate multiple groups of updated waterproofing failure probabilities; the candidate optimized waterproofing layer connection structures whose updated waterproofing failure probability is less than the preset probability are extracted, and the optimized cost is marked to generate the recommended optimization decision.

[0046] Based on the historical records of waterproofing project construction, multiple groups of waterproofing layer structure optimization samples that can improve waterproofing are collected, including collecting samples that maintain the same waterproofing structure type after optimization, such as optimizing from a flexible structure to a higher performance flexible structure, or optimizing from a rigid structure to a higher density rigid structure. This optimization generally does not change the material category, but improves the waterproofing performance by improving the connection method, increasing the number of layers or thickness, etc. These samples are used as samples without changing the waterproofing structure type; samples upgraded from a single structure (rigid or flexible) to a composite structure are collected, for example, adding a rigid layer to the original flexible waterproofing to form a composite structure, or adding a flexible waterproof layer outside the rigid waterproof layer to achieve multi-level protection. These samples are used as samples that change the waterproofing structure type.

[0047] Each optimized sample must include the following key information: initial waterproof layer connection structure, recording the waterproof layer connection structure in its initial state, including material type, waterproof layer thickness, seam and corner treatment methods, etc.; optimized waterproof layer connection structure, recording the optimized connection structure, such as whether the number of layers has been increased, the waterproof layer material has been changed, or the thickness has been adjusted, seam sealing treatment, etc.; optimized cost, recording the cost of implementing each optimization plan, including material costs, labor costs, and construction time costs, to help conduct cost-benefit analysis when making decisions.

[0048] All waterproof layer structure optimization samples are sorted and stored in the database, and a waterproof layer optimization database is established to provide data support for subsequent optimization comparisons. The similarity measurement method is used to calculate the similarity between the initial waterproof layer connection structure of the sub-project to be optimized and the optimized samples in the database. A similarity threshold is set according to the project requirements, such as 0.8, and the optimized samples whose similarity with the initial waterproof layer connection structure of the sub-project to be optimized is greater than the threshold are screened out. The screened samples are used as candidate optimized waterproof layer connection structures to provide a variety of optimization options for the sub-project to be optimized.

[0049] Multiple sets of candidate optimized waterproof layer connection structures are applied one by one to the waterproof feature set of the risk sub-project. Each candidate optimized structure generates an updated waterproof feature set, which reflects the improvement of the optimized waterproof layer material, connection environment, connection structure and possible environmental penetration characteristics. Each updated waterproof feature set is input into the waterproof failure prediction model. The model recalculates the failure probability based on the optimized structure and characteristics, and outputs the corresponding updated waterproof failure probability, which represents the failure risk of the optimized structure within the preset life.

[0050] Traverse all candidate optimized waterproof layer connection structures, and select candidate optimized structures with updated waterproof failure probability less than the preset probability to ensure that the selected optimization scheme can significantly reduce the risk of failure. For the selected candidate optimized structures, record the implementation cost of each optimization scheme, including material cost, construction cost and time cost, sort them according to implementation cost, and give priority to schemes with low failure probability and low optimization cost to obtain the most cost-effective waterproof improvement scheme as the recommended optimization decision. The recommended optimization decision provides a cost-effective and significantly risk-reduced solution, which helps to extend the life of the waterproof project and improve its reliability.

[0051] Furthermore, the waterproof project is divided according to the rigid waterproof structure, the flexible waterproof structure and the composite waterproof structure to generate multiple sub-projects, including: Obtain the design drawings of the waterproof project; identify the projects corresponding to the rigid waterproof structure, the flexible waterproof structure and the composite waterproof structure respectively based on the design drawings, and generate a rigid waterproof project, a flexible waterproof project and a composite waterproof project; for the rigid waterproof project, the flexible waterproof project and the composite waterproof project, respectively, perform water seepage influence segmentation on the neighborhood of the waterproof layer to generate the multiple sub-projects.

[0052] Obtain the design drawings of the waterproofing project from the engineering database. These drawings include building plans, elevations, sections, and specific designs and material descriptions of the waterproofing system, indicating detailed information such as the waterproofing structure type, waterproofing layer material, thickness, and connection method between the waterproof layer and the building structure in each area.

[0053] Find the markings on waterproof materials and construction methods in the design drawings, identify the waterproof structure types in each area, including rigid waterproofing, flexible waterproofing and composite waterproofing structures, divide the building into different waterproofing project areas according to the identified waterproof structure types, and generate rigid waterproofing projects, flexible waterproofing projects and composite waterproofing projects.

[0054] Based on the design drawings, the neighborhood water seepage impact of different types of waterproof projects is segmented. Among them, rigid waterproof structures usually spread along cracks, so the neighborhood water seepage impact should include stress concentration areas in the structure, such as wall angles, expansion joints, and the boundaries of structural units. Independent rigid waterproof sub-projects are defined based on construction joints, expansion joints, wall boundaries, etc. on the drawings; flexible waterproof layers are prone to water seepage at joints and edges, and the neighborhood water seepage impact range needs to include joints, material boundaries, wall corners, etc. According to the joints, edges, and adjacent building components of the flexible waterproof layer on the design drawings, the flexible waterproof area is divided into multiple independent sub-projects; composite waterproof structures are multi-layered protection, and the neighborhood water seepage impact mainly occurs at the contact interface between material layers and the key nodes of the structure. Based on the boundary line between the rigid layer and the flexible layer, key nodes (such as through-wall pipes, supporting structures), etc., multiple sub-projects of the composite waterproof project are divided. After segmentation, the generated multiple sub-projects have independent maintainability, so that they can be repaired independently when the waterproof layer is damaged, reducing maintenance costs and impact range.

[0055] Furthermore, for the rigid waterproof project, the flexible waterproof project and the composite waterproof project, the waterproof layer neighborhood water seepage impact segmentation is performed respectively to generate the multiple sub-projects, including: Determine the damage diffusion cutoff boundary features of the rigid waterproof project, the flexible waterproof project and the composite waterproof project; segment the rigid waterproof project, the flexible waterproof project and the composite waterproof project based on the damage diffusion cutoff boundary features to generate the multiple sub-projects.

[0056] The damage diffusion cutoff boundary feature refers to the boundary where the damaged area of ​​the waterproof layer no longer continues to diffuse when damage occurs. This boundary feature can be defined according to the type, material properties and structural properties of the waterproof layer.

[0057] Rigid waterproof materials (such as waterproof concrete and waterproof mortar) usually have high hardness and compressive resistance, but are relatively brittle. When cracks or holes appear, the cracks may extend along the structure. Therefore, the boundary characteristics of the rigid waterproof layer are usually related to the structural stress points. The structure can be divided into independent unit blocks, and the physical structural dividing lines, such as construction joints, expansion joints, and floor boundaries, are used as the diffusion cutoff boundaries of rigid waterproofing to prevent damage from spreading within the structure.

[0058] Flexible waterproof materials (such as waterproof membranes and waterproof coatings) have good ductility and can adapt to slight structural deformations, but they may easily crack or fall off at joints and interfaces. The joints and edge positions of the membranes or coatings are used as diffusion cutoff boundary features of flexible waterproofing, especially the edge areas of the waterproof layer and the connection points with other components.

[0059] Composite waterproof structures use both rigid and flexible materials and provide multiple waterproof protections through a combination of multiple layers of materials. Therefore, the damage diffusion boundary of the composite structure should include two layers of boundaries, namely the boundary of the rigid layer and the boundary of the flexible layer. The material interface position in the composite structure, such as the interface between the flexible waterproof layer and the rigid base layer, is an important diffusion cutoff boundary. Usually, a sealing layer or additional protection is set at the interface between layers to prevent water from diffusing along the layers.

[0060] According to the damage diffusion cut-off boundary characteristics of each waterproof structure, the waterproof layer is divided into several independent sub-project units. In this way, each sub-project unit has a clear physical boundary, which is convenient for management and maintenance. The multiple sub-projects obtained by division have independent waterproof performance and maintenance boundaries, which helps to accurately locate the problem area when waterproof failure occurs, and quickly repair it, reducing the risk of damage spread.

[0061] In summary, the risk location method for waterproof engineering provided by the embodiment of the present application has the following technical effects: Obtaining the waterproof structure type of the waterproof project in the target building can clarify the waterproof requirements and characteristics of each area of ​​the building at the beginning of the project. This identification process can effectively improve the pertinence of the waterproof system and provide accurate basic data for subsequent risk segmentation, feature collection and failure prediction; according to different waterproof structure types, the entire waterproof project is refined into multiple independent sub-projects. Such segmentation is based on structural and material characteristics to ensure that the waterproof characteristics of each sub-project unit are independent. Accurate sub-project segmentation not only reduces the risk of damage spread, but also facilitates subsequent separate maintenance and repair, and improves the stability and durability of the waterproof project; by collecting the waterproof construction characteristics of each sub-project, a comprehensive waterproof feature set of the sub-project is formed. These feature sets provide A comprehensive and systematic data foundation provides precise input for failure prediction, improving the accuracy and practicality of model predictions; a waterproof failure prediction model is constructed, which can accurately predict the probability of waterproof failure through historical data and similarity analysis. Multiple waterproof feature sets are analyzed through the waterproof failure prediction model, and failure probability prediction is made according to the preset life of the waterproof project. Multiple waterproof failure probabilities are generated to provide data support for subsequent maintenance decisions; multiple waterproof failure probabilities are used to locate risk sub-projects with failure probabilities higher than preset values, and failure risk reminders are generated. Risk reminders help managers preventively maintain high-risk areas, improve the foresight and pertinence of waterproof project management, thereby saving maintenance costs and avoiding losses.

[0062] Embodiment 2 is based on the same inventive concept as the risk positioning method for waterproof engineering in the above embodiment. Figure 2 As shown, the embodiment of the present application provides a risk positioning system for waterproof engineering, and the system includes: A structure type acquisition module 10, the structure type acquisition module 10 is used to acquire the waterproof structure type of the waterproof project in the target building, wherein the waterproof structure type includes a rigid waterproof structure, a flexible waterproof structure and a composite waterproof structure; a waterproof project segmentation module 20, the waterproof project segmentation module 20 is used to segment the waterproof project according to the rigid waterproof structure, the flexible waterproof structure and the composite waterproof structure to generate a plurality of sub-projects; a construction feature collection module 30, the construction feature collection module 30 is used to collect waterproof construction features of the plurality of sub-projects to generate a plurality of waterproof feature sets corresponding to the plurality of sub-projects, wherein any waterproof feature set includes waterproof layer material, waterproof connection environment, waterproof layer connection structure and environmental penetration features; a failure probability prediction module 40, the failure probability prediction module 40 is used to construct a waterproof failure prediction model, input the plurality of waterproof feature sets into the waterproof failure prediction model, perform failure probability prediction according to the preset life of the waterproof project, and generate a plurality of waterproof failure probabilities; a failure risk reminder module 50, the failure risk reminder module 50 is used to locate the risk sub-project with a waterproof failure probability greater than a preset probability according to the plurality of waterproof failure probabilities, and perform a failure risk reminder for the waterproof layer.

[0063] Furthermore, the system also includes a prediction model building module to perform the following operation steps: Collect historical waterproofing project samples and establish a waterproofing layer failure database, wherein the historical waterproofing project samples include waterproofing feature samples corresponding to rigid waterproofing structures, waterproofing feature samples corresponding to flexible waterproofing structures, and waterproofing feature samples corresponding to composite waterproofing structures, as well as time samples corresponding to the waterproofing layer turning into failures; based on the waterproofing layer failure database, construct the waterproofing failure prediction model, wherein the waterproofing failure prediction model is a similarity analysis network that can call samples in the waterproofing layer failure database and input features for similarity traversal comparison.

[0064] Furthermore, the system further includes a waterproof failure probability acquisition module to perform the following operation steps: The waterproof layer failure database is called through the waterproof failure prediction model, all samples in the waterproof layer failure database are traversed, and similarity comparison is performed with the multiple waterproof feature sets in terms of waterproof layer materials, waterproof connection environment, waterproof layer connection structure and environmental penetration characteristics, so as to obtain multiple sample sets whose similarities with various features of the multiple waterproof feature sets are greater than a preset similarity; for the multiple sample sets, the proportion of samples whose time samples for the waterproof layer to turn into failure are less than the preset life span is statistically analyzed, and the multiple waterproof failure probabilities are output.

[0065] Furthermore, the system also includes a recommendation optimization decision generation module to perform the following operation steps: The waterproof structure type to be optimized and the corresponding waterproof layer connection structure of the risk sub-project are obtained; the waterproof performance is optimized for the waterproof structure type to be optimized and the corresponding waterproof layer connection structure, and a recommended optimization decision is generated.

[0066] Furthermore, the system further includes a decision generation module to perform the following operation steps: Based on the historical waterproofing project construction records, multiple groups of waterproofing layer structure optimization samples that can improve waterproofing are collected, wherein the multiple groups of waterproofing layer structure optimization samples include samples that do not change the waterproofing structure type and samples that change the waterproofing structure type, and any sample includes an initial waterproofing layer connection structure, an optimized waterproofing layer connection structure and an optimization cost; a waterproofing layer optimization database is established with the multiple groups of waterproofing layer structure optimization samples, and the initial waterproofing layer connection structure whose similarity with the corresponding waterproofing layer connection structure is greater than a preset similarity is screened in the waterproofing layer optimization database to generate multiple groups of candidate optimized waterproofing layer connection structures; the waterproofing feature set of the risk sub-project is updated with the multiple groups of candidate optimized waterproofing layer connection structures and then input into the waterproofing failure prediction model for analysis to generate multiple groups of updated waterproofing failure probabilities; the candidate optimized waterproofing layer connection structures whose updated waterproofing failure probability is less than the preset probability are extracted, and the optimized cost is marked to generate the recommended optimization decision.

[0067] Furthermore, the system further includes a sub-project generation module to perform the following operation steps: Obtain the design drawings of the waterproof project; identify the projects corresponding to the rigid waterproof structure, the flexible waterproof structure and the composite waterproof structure respectively based on the design drawings, and generate a rigid waterproof project, a flexible waterproof project and a composite waterproof project; for the rigid waterproof project, the flexible waterproof project and the composite waterproof project, respectively, perform water seepage influence segmentation on the neighborhood of the waterproof layer to generate the multiple sub-projects.

[0068] Furthermore, the system further includes a plurality of sub-project generation modules to perform the following operation steps: Determine the damage diffusion cutoff boundary features of the rigid waterproof project, the flexible waterproof project and the composite waterproof project; segment the rigid waterproof project, the flexible waterproof project and the composite waterproof project based on the damage diffusion cutoff boundary features to generate the multiple sub-projects.

[0069] Through the above-mentioned detailed description of the risk location method for waterproofing projects in this specification, those skilled in the art can clearly understand the risk location system for waterproofing projects in this embodiment. Since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part description.

[0070] Embodiment 3 provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps of the risk location method for waterproof engineering are implemented.

[0071] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. The risk positioning method for waterproofing projects is characterized by: The method comprises: Obtaining the waterproof structure type of the waterproof project in the target building, wherein the waterproof structure type includes a rigid waterproof structure, a flexible waterproof structure and a composite waterproof structure; The waterproof project is divided according to the rigid waterproof structure, the flexible waterproof structure and the composite waterproof structure to generate a plurality of sub-projects; Collect waterproof construction features of the multiple sub-projects to generate multiple waterproof feature sets corresponding to the multiple sub-projects, wherein any waterproof feature set includes waterproof layer materials, waterproof connection environment, waterproof layer connection structure and environmental penetration features; Constructing a waterproof failure prediction model, inputting the multiple waterproof feature sets into the waterproof failure prediction model, performing failure probability prediction according to the preset life of the waterproof project, and generating multiple waterproof failure probabilities; According to the multiple waterproof failure probabilities, the risk sub-projects with waterproof failure probabilities greater than preset probabilities are located, and failure risk reminders for the waterproof layer are issued.

2. The risk location method for waterproof engineering according to claim 1, characterized in that: Construct a waterproof failure prediction model, including: Collect historical waterproofing project samples and establish a waterproofing layer failure database, wherein the historical waterproofing project samples include waterproofing feature samples corresponding to rigid waterproofing structures, waterproofing feature samples corresponding to flexible waterproofing structures, and waterproofing feature samples corresponding to composite waterproofing structures, as well as time samples corresponding to each sample when the waterproofing layer becomes invalid; Based on the waterproof layer failure database, the waterproof failure prediction model is constructed, wherein the waterproof failure prediction model is a similarity analysis network, which can call samples in the waterproof layer failure database and input features for similarity traversal comparison.

3. The risk location method for waterproof engineering according to claim 2, characterized in that: Inputting the plurality of waterproof feature sets into the waterproof failure prediction model, performing failure probability prediction according to the preset life of the waterproof project, and generating a plurality of waterproof failure probabilities, including: The waterproof layer failure database is called by the waterproof failure prediction model, all samples in the waterproof layer failure database are traversed, and similarity comparison is performed with the multiple waterproof feature sets on waterproof layer materials, waterproof connection environments, waterproof layer connection structures, and environmental penetration features, to obtain multiple sample sets whose similarities with various features of the multiple waterproof feature sets are greater than a preset similarity; For the multiple sample sets, the proportion of samples in which the time length samples for the waterproof layer to become failed is less than the preset life span is counted, and the multiple waterproof failure probabilities are output.

4. The risk location method for waterproof engineering according to claim 1, characterized in that: Also includes: Obtaining the waterproof structure type to be optimized and the corresponding waterproof layer connection structure of the risk sub-project; The waterproof performance is optimized for the waterproof structure type to be optimized and the corresponding waterproof layer connection structure, and a recommended optimization decision is generated.

5. The risk location method for waterproof engineering according to claim 4, characterized in that: The waterproof performance is optimized for the waterproof structure type to be optimized and the corresponding waterproof layer connection structure, and a recommended optimization decision is generated, including: Based on the historical waterproof engineering construction records, multiple groups of waterproof layer structure optimization samples that can improve waterproof performance are collected, wherein the multiple groups of waterproof layer structure optimization samples include samples that do not change the waterproof structure type and samples that change the waterproof structure type, and any sample includes an initial waterproof layer connection structure, an optimized waterproof layer connection structure, and an optimized cost; Establishing a waterproof layer optimization database with the plurality of groups of waterproof layer structure optimization samples, screening the waterproof layer optimization database for initial waterproof layer connection structures having a similarity with the corresponding waterproof layer connection structure greater than a preset similarity, and generating a plurality of groups of candidate optimized waterproof layer connection structures; The waterproof feature set of the risk sub-project is updated with the multiple groups of candidate optimized waterproof layer connection structures, and then input into the waterproof failure prediction model for analysis to generate multiple groups of updated waterproof failure probabilities; The candidate optimized waterproof layer connection structures whose updated waterproof failure probability is less than the preset probability are extracted, and the optimization cost is marked to generate the recommended optimization decision.

6. The risk location method for waterproof engineering according to claim 1, characterized in that: The waterproof project is divided according to the rigid waterproof structure, the flexible waterproof structure and the composite waterproof structure to generate multiple sub-projects, including: Obtaining the design drawings of the waterproofing project; Based on the design drawings, the projects corresponding to the rigid waterproof structure, the flexible waterproof structure and the composite waterproof structure are identified, and a rigid waterproof project, a flexible waterproof project and a composite waterproof project are generated; For the rigid waterproof project, the flexible waterproof project and the composite waterproof project, the water seepage influence segmentation of the neighborhood of the waterproof layer is performed respectively to generate the multiple sub-projects.

7. The risk location method for waterproof engineering according to claim 6, characterized in that: For the rigid waterproof project, the flexible waterproof project and the composite waterproof project, the waterproof layer neighborhood water seepage influence segmentation is performed respectively to generate the multiple sub-projects, including: Determining damage diffusion cutoff boundary characteristics of the rigid waterproof project, the flexible waterproof project, and the composite waterproof project; The rigid waterproof project, the flexible waterproof project and the composite waterproof project are segmented based on the damage diffusion cut-off boundary feature to generate the multiple sub-projects.

8. Risk positioning system for waterproofing projects, characterized by: The system is used to implement the risk location method for waterproof engineering according to any one of claims 1 to 7, and comprises: A structure type acquisition module, the structure type acquisition module is used to acquire the waterproof structure type of the waterproof project in the target building, wherein the waterproof structure type includes a rigid waterproof structure, a flexible waterproof structure and a composite waterproof structure; A waterproof engineering segmentation module, the waterproof engineering segmentation module is used to segment the waterproof engineering according to the rigid waterproof structure, the flexible waterproof structure and the composite waterproof structure to generate a plurality of sub-projects; A construction feature collection module, the construction feature collection module is used to collect waterproof construction features of the multiple sub-projects, and generate multiple waterproof feature sets corresponding to the multiple sub-projects, wherein any waterproof feature set includes waterproof layer materials, waterproof connection environment, waterproof layer connection structure and environmental penetration characteristics; A failure probability prediction module, the failure probability prediction module is used to construct a waterproof failure prediction model, input the multiple waterproof feature sets into the waterproof failure prediction model, perform failure probability prediction according to the preset life of the waterproof project, and generate multiple waterproof failure probabilities; A failure risk reminder module is used to locate the risk sub-project whose waterproof failure probability is greater than a preset probability according to the multiple waterproof failure probabilities, and to provide failure risk reminder for the waterproof layer.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the risk location method for waterproof engineering described in any one of claims 1 to 7 are implemented.

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