BIM-based road pipe network whole life cycle detection and optimization method and system

Abstract

This application provides a BIM-based method and system for the full lifecycle detection and optimization of road pipeline networks. The method includes: monitoring the target road pipeline network, collecting hydraulic parameters of each preset pipe segment, processing to obtain the hydraulic state coefficient of the pipe segment, and determining whether the hydraulic state meets the preset state requirements. If not, multiple optimization schemes are matched, and hydraulic simulation tests are performed. The optimal scheme is selected based on the test results. The method also includes monitoring the operation of each preset pipe segment, collecting design characteristic parameters, construction characteristic parameters, and operational characteristic parameters within a preset time period, processing to obtain the aging index coefficients corresponding to each preset pipe segment, and adapting the corresponding renovation priorities and renovation schemes. Furthermore, the method involves obtaining the spatial measured parameters and benchmark spatial parameters of the target road pipeline network, processing to obtain the corresponding parameter deviation value groups, determining the deviation level based on the parameter deviation value groups, and taking corresponding adjustment measures. This achieves BIM-based technology for the full lifecycle detection and optimization of road pipeline networks.

Description

Technical Field

[0001] This application relates to the field of building information modeling technology, and more specifically, to a method and system for the full life cycle detection and optimization of road pipeline networks based on BIM. Background Technology

[0002] Current road pipeline network management often faces pain points such as inaccurate hydraulic condition monitoring, lack of systematic aging assessment, and difficulty in controlling spatial parameter deviations. Relying solely on single-stage monitoring can easily lead to insufficiently targeted optimization solutions, chaotic renovation priorities, and an inability to achieve dynamic management throughout the entire process. While BIM technology has advantages in spatial visualization and parameter integration, it has not yet been effectively applied to the integrated process of hydraulic monitoring, aging assessment, and spatial correction throughout the entire life cycle of pipeline networks. Therefore, there is an urgent need to construct a full life cycle monitoring and optimization solution that integrates BIM technology. This solution can address the technical problems of incomplete pipeline network monitoring, low optimization efficiency, and lack of full-cycle management in existing technologies by accurately collecting multi-dimensional parameters, scientifically analyzing status indicators, and dynamically matching optimization strategies, thereby improving the reliability and scientific nature of road pipeline network operation and maintenance. Summary of the Invention

[0003] The purpose of this application is to provide a BIM-based method and system for the full lifecycle monitoring and optimization of road pipeline networks. This system monitors the target road pipeline network, collects hydraulic parameters of each preset pipe segment, processes these parameters to obtain the hydraulic state coefficient of the pipe segment, and determines whether the hydraulic state meets the preset requirements. If not, it matches multiple optimization schemes and performs hydraulic simulation tests, selecting the optimal scheme based on the test results. It also monitors the operation of each preset pipe segment, collects design characteristic parameters, construction characteristic parameters, and operational characteristic parameters within a preset time period, processes these parameters to obtain the aging index coefficients corresponding to each preset pipe segment, and adapts them to corresponding renovation priorities and renovation schemes. Furthermore, it obtains the spatial measured parameters and baseline spatial parameters of the target road pipeline network, processes these parameters to obtain the corresponding parameter deviation value groups, determines the deviation level based on the parameter deviation value groups, and takes corresponding adjustment measures. This achieves BIM-based technology for the full lifecycle monitoring and optimization of road pipeline networks.

[0004] This application also provides a BIM-based method for the full lifecycle inspection and optimization of road pipeline networks, including the following steps: Monitor the target road network, collect hydraulic parameters of each preset pipe section, process them to obtain the hydraulic state coefficient of the pipe section, and determine whether the hydraulic state meets the preset state requirements. If the hydraulic state does not meet the preset state requirements, multiple optimization schemes are matched, and hydraulic simulation tests are performed. The optimal scheme is selected based on the test results. Monitor the operation of each preset pipe section and collect design characteristic parameters, construction characteristic parameters, and operational characteristic parameters within a preset time period; The design characteristic parameters, construction characteristic parameters and operation characteristic parameters are processed to obtain the aging index coefficients corresponding to each preset pipe section, and the corresponding renovation priority and renovation plan are adapted accordingly. Obtain the measured spatial parameters and reference spatial parameters of the target road network, and process them to obtain the corresponding parameter deviation value set; The deviation level is determined based on the parameter deviation value group, and corresponding adjustment measures are taken.

[0005] Optionally, in the BIM-based road pipeline network full lifecycle detection and optimization method described in this application, the monitoring of the target road pipeline network includes collecting hydraulic parameters of each preset pipe section, processing them to obtain the hydraulic state coefficient of the pipe section, and determining whether the hydraulic state meets the preset state requirements, including: Monitor the operation of the target road pipeline network and collect hydraulic parameters of each preset pipeline section; The hydraulic parameters include water flow velocity, fill factor, flow rate, water level, and manhole water level; The water flow velocity, fullness, flow rate, water level, and inspection well water level are processed by a preset hydraulic flow state algorithm to obtain the hydraulic state coefficient of each preset pipe segment. The hydraulic state deviation rate is obtained by comparing the hydraulic state coefficient of the pipe section with the preset benchmark pipe section hydraulic state threshold. Based on the hydraulic state deviation rate, determine whether the hydraulic state of the corresponding preset pipe section meets the preset state requirements. If the hydraulic state deviation rate is less than or equal to the preset hydraulic state deviation rate threshold, then the hydraulic state of the corresponding preset pipe section meets the preset state requirements. If the hydraulic state deviation rate is greater than the preset hydraulic state deviation rate threshold, then the hydraulic state of the corresponding preset pipe section does not meet the preset state requirements.

[0006] Optionally, in the BIM-based road pipeline network full lifecycle detection and optimization method described in this application, if the hydraulic state does not meet the preset state requirements, multiple optimization schemes are matched, and hydraulic simulation tests are performed. The optimal scheme is then selected based on the test results, including: If the hydraulic state does not meet the preset state requirements, multiple optimization schemes are matched in combination with the corresponding preset pipe section. The optimization scheme includes one or more of the following: adjusting the pipe diameter, optimizing the pipe slope, or adjusting the location of the inspection well. Perform hydraulic simulation tests on each group of optimization schemes and record the corresponding test results data; Based on the test results, drainage efficiency and construction costs can be extracted. The optimization rationality coefficient is obtained by weighting the drainage efficiency and construction cost. The optimal solution is selected based on the optimization rationality coefficient.

[0007] Optionally, in the BIM-based road pipeline network full lifecycle monitoring and optimization method described in this application, the monitoring of the operation of each preset pipeline segment and the collection of design characteristic parameters, construction characteristic parameters, and operational characteristic parameters within a preset time period include: Monitor the operation of each preset pipe section and collect the corresponding design characteristic parameters and construction characteristic parameters; The design characteristic parameters include pipe type, service life, pipe diameter, wall thickness, and burial depth; The construction characteristic parameters include connection process records, construction quality inspection reports, backfill compaction, and pipeline pressure test data. Simultaneously acquire the operational characteristic parameters of each preset pipe section within a preset time period, including maintenance frequency, maintenance type, hydraulic condition data, water quality corrosion monitoring data, and changes in surrounding loads.

[0008] Optionally, in the BIM-based road pipeline network full lifecycle detection and optimization method described in this application, the step of processing the design characteristic parameters, construction characteristic parameters, and operation characteristic parameters to obtain the aging index coefficients corresponding to each preset pipe segment, and adapting them to the corresponding renovation priorities and renovation schemes, includes: Based on the design characteristic parameters, construction characteristic parameters and operation characteristic parameters, the aging index coefficients corresponding to each preset pipe section are obtained by processing them through the preset pipe section aging assessment model. The severity of aging is obtained by comparing the aging index coefficient with the preset aging index threshold. Prioritize modifications based on the severity of aging. The renovation priorities include emergency renovation, key renovation, general renovation, and renovation that is temporarily suspended; Develop corresponding renovation plans based on the aforementioned renovation priorities.

[0009] Optionally, in the BIM-based road pipeline network full lifecycle inspection and optimization method described in this application, the step of obtaining the spatial measured parameters and reference spatial parameters of the target road pipeline network, and processing them to obtain the corresponding parameter deviation value set, includes: Obtain the spatial measured parameters of the target road network, including the measured network axis coordinates, measured elevation data, measured pipe diameter, and measured pipe slope; Obtain the reference spatial parameters of the target road network, including the coordinates of the starting point of the pipe segment, the coordinates of the ending point of the pipe segment, the axis elevation, the pipe diameter specification, and the reference pipe slope; Based on the measured spatial parameters and the reference spatial parameters, a corresponding comparison process is performed to obtain the corresponding parameter deviation value set; The parameter deviation value group includes plane deviation value, elevation deviation value, pipe diameter deviation value, and slope deviation value.

[0010] Optionally, in the BIM-based road pipeline network full lifecycle inspection and optimization method described in this application, the step of determining the deviation level based on the parameter deviation value group and taking corresponding adjustment measures includes: The deviation values ​​are weighted according to the plane deviation value, elevation deviation value, pipe diameter deviation value and slope deviation value to obtain the deviation comprehensive value coefficient; The deviation level is determined based on the comprehensive deviation value coefficient. The deviation levels include Level I deviation, Level II deviation, and Level III deviation; Take appropriate adjustment measures based on the deviation level.

[0011] Secondly, this application provides a BIM-based road pipeline network lifecycle detection and optimization system. The system includes a memory and a processor. The memory contains a program for a BIM-based road pipeline network lifecycle detection and optimization method. When the program is executed by the processor, the following steps are implemented: Monitor the target road network, collect hydraulic parameters of each preset pipe section, process them to obtain the hydraulic state coefficient of the pipe section, and determine whether the hydraulic state meets the preset state requirements. If the hydraulic state does not meet the preset state requirements, multiple optimization schemes are matched, and hydraulic simulation tests are performed. The optimal scheme is selected based on the test results. Monitor the operation of each preset pipe section and collect design characteristic parameters, construction characteristic parameters, and operational characteristic parameters within a preset time period; The design characteristic parameters, construction characteristic parameters and operation characteristic parameters are processed to obtain the aging index coefficients corresponding to each preset pipe section, and the corresponding renovation priority and renovation plan are adapted accordingly. Obtain the measured spatial parameters and reference spatial parameters of the target road network, and process them to obtain the corresponding parameter deviation value set; The deviation level is determined based on the parameter deviation value group, and corresponding adjustment measures are taken.

[0012] Optionally, in the BIM-based road pipeline network full lifecycle inspection and optimization system described in this application, the monitored target road pipeline network collects hydraulic parameters of each preset pipe section, processes them to obtain the hydraulic state coefficient of the pipe section, and determines whether the hydraulic state meets the preset state requirements, including: Monitor the operation of the target road pipeline network and collect hydraulic parameters of each preset pipeline section; The hydraulic parameters include water flow velocity, fill factor, flow rate, water level, and manhole water level; The water flow velocity, fullness, flow rate, water level, and inspection well water level are processed by a preset hydraulic flow state algorithm to obtain the hydraulic state coefficient of each preset pipe segment. The hydraulic state deviation rate is obtained by comparing the hydraulic state coefficient of the pipe section with the preset benchmark pipe section hydraulic state threshold. Based on the hydraulic state deviation rate, determine whether the hydraulic state of the corresponding preset pipe section meets the preset state requirements. If the hydraulic state deviation rate is less than or equal to the preset hydraulic state deviation rate threshold, then the hydraulic state of the corresponding preset pipe section meets the preset state requirements. If the hydraulic state deviation rate is greater than the preset hydraulic state deviation rate threshold, then the hydraulic state of the corresponding preset pipe section does not meet the preset state requirements.

[0013] Optionally, in the BIM-based road pipeline network full lifecycle inspection and optimization system described in this application, if the hydraulic state does not meet the preset state requirements, multiple optimization schemes are matched, and hydraulic simulation tests are performed. The optimal scheme is then selected based on the test results, including: If the hydraulic state does not meet the preset state requirements, multiple optimization schemes are matched in combination with the corresponding preset pipe section. The optimization scheme includes one or more of the following: adjusting the pipe diameter, optimizing the pipe slope, or adjusting the location of the inspection well. Perform hydraulic simulation tests on each group of optimization schemes and record the corresponding test results data; Based on the test results, drainage efficiency and construction costs can be extracted. The optimization rationality coefficient is obtained by weighting the drainage efficiency and construction cost. The optimal solution is selected based on the optimization rationality coefficient.

[0014] As can be seen from the above, the BIM-based method and system for the full life cycle detection and optimization of road pipeline networks provided in this application monitors the target road pipeline network, collects hydraulic parameters of each preset pipe section, processes them to obtain the hydraulic state coefficient of the pipe section, and determines whether the hydraulic state meets the preset state requirements. If the hydraulic state does not meet the preset state requirements, multiple optimization schemes are matched, and hydraulic simulation tests are performed. The optimal scheme is selected based on the test results. The operation of each preset pipe section is monitored, and design characteristic parameters, construction characteristic parameters, and operation characteristic parameters within a preset time period are collected. The design characteristic parameters, construction characteristic parameters, and operation characteristic parameters are processed to obtain the aging index coefficients corresponding to each preset pipe section, and the corresponding renovation priorities and renovation schemes are adapted. The spatial measured parameters and benchmark spatial parameters of the target road pipeline network are obtained, and the corresponding parameter deviation value groups are processed to obtain the deviation level based on the parameter deviation value groups, and corresponding adjustment measures are taken, thereby realizing the technology of BIM-based full life cycle detection and optimization of road pipeline networks.

[0015] Other features and advantages of this application will be set forth in the following description and will be apparent in part from the description or may be learned by practicing embodiments of this application. The objectives and other advantages of this application may be realized and obtained by means of the structures particularly pointed out in the written description and the accompanying drawings. Attached Figure Description

[0016] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments of this application will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 A flowchart of the BIM-based road pipeline network full lifecycle detection and optimization method provided in the embodiments of this application; Figure 2 This is a schematic diagram of the architecture of the BIM-based road pipeline network full life cycle detection and optimization method provided in the embodiments of this application. Detailed Implementation

[0018] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of the embodiments. The components of the embodiments of this application described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely represents selected embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0019] It should be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. Furthermore, in the description of this application, the terms "first," "second," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0020] Please refer to Figure 1 , Figure 1 This is a flowchart of a BIM-based method for the full lifecycle inspection and optimization of road pipeline networks according to some embodiments of this application. This BIM-based method for the full lifecycle inspection and optimization of road pipeline networks is used in terminal devices, such as computers and mobile terminals. The BIM-based method for the full lifecycle inspection and optimization of road pipeline networks includes the following steps: S11. Monitor the target road network, collect hydraulic parameters of each preset pipe section, process them to obtain the hydraulic state coefficient of the pipe section, and determine whether the hydraulic state meets the preset state requirements. S12. If the hydraulic state does not meet the preset state requirements, match multiple optimization schemes and perform hydraulic simulation tests, and select the optimal scheme based on the test results. S13. Monitor the operation of each preset pipe section, and collect design characteristic parameters, construction characteristic parameters, and operation characteristic parameters within a preset time period; S14. Process the design characteristic parameters, construction characteristic parameters and operation characteristic parameters to obtain the aging index coefficients corresponding to each preset pipe section, and adapt the corresponding renovation priority and renovation plan. S15. Obtain the spatial measured parameters and reference spatial parameters of the target road network, and process them to obtain the corresponding parameter deviation value group. S16. Determine the deviation level based on the parameter deviation value group and take corresponding adjustment measures.

[0021] It is important to emphasize that, based on the pain points of traditional pipeline networks—such as "inaccurate hydraulic monitoring, unsystematic aging assessment, and difficulty in controlling spatial deviations"—a full lifecycle monitoring and optimization solution integrating BIM technology is needed. This solution involves accurately collecting multi-dimensional parameters, scientifically analyzing status indicators, and dynamically matching optimization strategies. Therefore, the first step is to monitor the target road pipeline network, collecting hydraulic parameters for each preset pipe section, including flow velocity, fullness, flow rate, water level, and manhole water level. This data is then processed to obtain the hydraulic state coefficient of the pipe section, and it is determined whether the hydraulic state meets the preset requirements. If the hydraulic state deviation rate exceeds the preset hydraulic state deviation rate threshold, the hydraulic state of the corresponding preset pipe section does not meet the preset requirements. In this case, multiple optimization schemes are matched, including adjusting pipe diameter specifications, optimizing pipe slope, or adjusting manhole location (one or more of these options). Hydraulic simulation tests are then performed, and the optimal scheme is selected based on the test results. The operation of each preset pipe section is monitored, collecting design characteristic parameters, construction characteristic parameters, and operational characteristic parameters within a preset time period. Design characteristic parameters include pipe material type, service life, pipe diameter, wall thickness, and burial depth. The engineering characteristic parameters include connection process records, construction quality inspection reports, backfill compaction, and pipeline pressure test data. Operational characteristic parameters include maintenance frequency, maintenance type, hydraulic condition data, water quality corrosion monitoring data, and changes in surrounding loads. Next, based on the design, construction, and operational characteristic parameters, the aging index coefficients corresponding to each preset pipe section are obtained, and corresponding renovation priorities and renovation plans are adapted. Renovation priorities include emergency renovation, key renovation, general renovation, and postponed renovation. Finally, the spatial measured parameters of the target road pipeline network are obtained, including measured pipeline axis coordinates, measured elevation data, measured pipe diameter, and measured pipe slope, as well as benchmark spatial parameters, including pipe section start-point coordinates, pipe section end-point coordinates, axis elevation, pipe diameter specifications, and benchmark pipe slope. These are processed to obtain corresponding parameter deviation value sets, including plane deviation values, elevation deviation values, pipe diameter deviation values, and slope deviation values. The deviation level is determined based on the parameter deviation value sets, and corresponding adjustment measures are taken, thereby realizing the technology of BIM-based full life-cycle inspection and optimization of road pipeline networks.

[0022] According to an embodiment of the present invention, the monitoring of the target road pipeline network, collecting hydraulic parameters of each preset pipeline segment, processing them to obtain the hydraulic state coefficient of the pipeline segment, and determining whether the hydraulic state meets the preset state requirements, includes: Monitor the operation of the target road pipeline network and collect hydraulic parameters of each preset pipeline section; The hydraulic parameters include water flow velocity, fill factor, flow rate, water level, and manhole water level; The water flow velocity, fullness, flow rate, water level, and inspection well water level are processed by a preset hydraulic flow state algorithm to obtain the hydraulic state coefficient of each preset pipe segment. The hydraulic state deviation rate is obtained by comparing the hydraulic state coefficient of the pipe section with the preset benchmark pipe section hydraulic state threshold. Based on the hydraulic state deviation rate, determine whether the hydraulic state of the corresponding preset pipe section meets the preset state requirements. If the hydraulic state deviation rate is less than or equal to the preset hydraulic state deviation rate threshold, then the hydraulic state of the corresponding preset pipe section meets the preset state requirements. If the hydraulic state deviation rate is greater than the preset hydraulic state deviation rate threshold, then the hydraulic state of the corresponding preset pipe section does not meet the preset state requirements.

[0023] It is important to emphasize that, to achieve precise control over the hydraulic status of road pipeline networks, comprehensive monitoring of the real-time operational status of the target road pipeline network is necessary. For each pre-defined pipe segment within the network system, core hydraulic parameters are continuously collected via IoT terminals such as intelligent sensors and flow monitors deployed at key nodes and manhole locations. These parameters specifically include water flow velocity within the pipe segment, pipe fullness, instantaneous flow rate, real-time water level within the pipe, and the corresponding manhole level. These hydraulic parameters are then synchronized to a BIM-based digital management platform. The platform uses a pre-defined hydraulic flow algorithm to standardize the data. This algorithm, based on fluid mechanics principles, integrates key indicators such as the stability of water flow velocity, the rationality of fullness, the matching degree of flow rate, and the linkage between pipe water level and manhole water level through weighted calculations, thereby eliminating data noise interference. Finally, the system outputs a unique hydraulic state coefficient for each preset pipe segment, achieving a quantitative representation of the hydraulic operating state. Subsequently, the system compares and analyzes the hydraulic state coefficient of each pipe segment with a preset benchmark hydraulic state threshold. By calculating the percentage difference between the two, it obtains a precise hydraulic state deviation rate. Based on the hydraulic state deviation rate, it determines whether the hydraulic state of the corresponding preset pipe segment meets the preset state requirements: if the calculated hydraulic state deviation rate is less than or equal to the preset hydraulic state deviation rate threshold, it indicates that the water flow in the pipe segment is stable, without problems such as congestion, leakage, or abnormal pressure, and the hydraulic state meets the preset safe and stable operation requirements; if the hydraulic state deviation rate is greater than the preset hydraulic state deviation rate threshold, it indicates that the pipe segment has a hydraulic imbalance, which may lead to problems such as poor drainage and excessive pipeline pressure, and its hydraulic state does not meet the preset state requirements, requiring subsequent optimization and adjustment processes.

[0024] According to an embodiment of the present invention, if the hydraulic state does not meet the preset state requirements, multiple optimization schemes are matched, and hydraulic simulation tests are performed. The optimal scheme is then selected based on the test results, including: If the hydraulic state does not meet the preset state requirements, multiple optimization schemes are matched in combination with the corresponding preset pipe section. The optimization scheme includes one or more of the following: adjusting the pipe diameter, optimizing the pipe slope, or adjusting the location of the inspection well. Perform hydraulic simulation tests on each group of optimization schemes and record the corresponding test results data; Based on the test results, drainage efficiency and construction costs can be extracted. The optimization rationality coefficient is obtained by weighting the drainage efficiency and construction cost. The optimal solution is selected based on the optimization rationality coefficient.

[0025] It is important to note that when the hydraulic condition of a preset pipe section is determined to be inconsistent with the preset requirements, the system will intelligently match multiple targeted optimization schemes based on the BIM model data, hydraulic condition deviation rate, and actual operating conditions of that pipe section. These schemes include adjusting pipe diameter specifications (such as increasing the diameter of congested sections or adapting to economical diameters for low-flow sections), optimizing pipe slope (adjusting the laying slope according to terrain conditions to improve water flow velocity), and adjusting manhole locations (optimizing spacing or elevation to improve water collection efficiency and reduce siltation). Furthermore, single or combined measures can be selected based on actual needs. Subsequently, using the BIM-integrated hydraulic simulation engine, a refined hydraulic simulation test is performed on each optimization scheme. The simulation process recreates the actual operating environment of the target pipe network, simultaneously recording drainage flow, pipe pressure, water flow velocity, and other parameters. Key test results, such as those related to siltation risk, ensure a high degree of consistency between simulation results and actual working conditions. Based on these test results, the system accurately extracts two core evaluation indicators: drainage efficiency (comprehensively reflecting the improvement effect of the solution on hydraulic imbalance problems, such as the degree of congestion relief and the rate of increase in drainage speed); and construction cost (covering the entire process costs, including material procurement, construction and renovation, and subsequent maintenance). A preset weighted algorithm quantifies drainage efficiency and construction cost, with weight allocation dynamically adjusted based on the priority of pipeline network operation and maintenance (e.g., focusing on drainage efficiency in key areas and balancing efficiency and cost in general areas). The system then calculates the optimization rationality coefficient for each group of solutions. These coefficients are ranked from highest to lowest, and the optimal solution that balances drainage effectiveness and economy is selected, providing a scientific basis for pipeline network renovation decisions.

[0026] According to an embodiment of the present invention, the monitoring of the operation of each preset pipe section, and the collection of design characteristic parameters, construction characteristic parameters, and operational characteristic parameters within a preset time period, includes: Monitor the operation of each preset pipe section and collect the corresponding design characteristic parameters and construction characteristic parameters; The design characteristic parameters include pipe type, service life, pipe diameter, wall thickness, and burial depth; The construction characteristic parameters include connection process records, construction quality inspection reports, backfill compaction, and pipeline pressure test data. Simultaneously acquire the operational characteristic parameters of each preset pipe section within a preset time period, including maintenance frequency, maintenance type, hydraulic condition data, water quality corrosion monitoring data, and changes in surrounding loads.

[0027] It is important to emphasize that, in order to manage and control the operation of the road pipeline network throughout its entire lifecycle, it is necessary to continuously monitor the real-time operational status of each pre-designed pipe section and collect core parameters at all stages. On the one hand, by retrieving digital archives and BIM model-related data from the pipeline network construction phase, design characteristic parameters and construction characteristic parameters can be accurately collected. The design characteristic parameters cover pipe type (such as concrete pipe, PE pipe, etc.), design service life, nominal pipe diameter, pipe wall thickness, and design burial depth, comprehensively reflecting the inherent design attributes of the pipeline network. The construction characteristic parameters include pipe connection process records (such as socket type, welded type, etc.), construction quality inspection reports (including appearance inspection, dimensional deviation, etc.), and backfill compaction. On the one hand, the system collects key construction indicators such as test data, pipeline pressure values, and pressure holding time. On the other hand, it utilizes IoT monitoring equipment, operation and maintenance management systems, and manual inspection records to simultaneously acquire operational characteristic parameters of each pre-set pipeline section within a pre-set time period (such as quarterly or annually). These parameters include maintenance frequency (statistics on the number of fault repairs), maintenance type (such as leak repair, joint reinforcement, and pipeline replacement), real-time hydraulic condition data (dynamic changes in flow rate and pressure), water quality corrosion monitoring data (reflecting the degree of corrosion on the inner wall of the pipeline), and changes in surrounding loads (such as road traffic loads, surrounding construction loads, and other external influencing factors). This allows for a comprehensive capture of the status changes and potential risks during the operation of the pipeline network.

[0028] According to an embodiment of the present invention, the step of processing the design characteristic parameters, construction characteristic parameters, and operational characteristic parameters to obtain the aging index coefficient corresponding to each preset pipe section, and adapting it to the corresponding renovation priority and renovation plan, includes: Based on the design characteristic parameters, construction characteristic parameters and operation characteristic parameters, the aging index coefficients corresponding to each preset pipe section are obtained by processing them through the preset pipe section aging assessment model. The severity of aging is obtained by comparing the aging index coefficient with the preset aging index threshold. Prioritize modifications based on the severity of aging. The renovation priorities include emergency renovation, key renovation, general renovation, and renovation that is temporarily suspended; Develop corresponding renovation plans based on the aforementioned renovation priorities.

[0029] It is important to note that the collected design, construction, and operational characteristic parameters are standardized and preprocessed to eliminate data format differences and outlier interference before being input into a pre-defined pipe section aging assessment model. This model is built based on big data analysis and machine learning algorithms. By quantifying key influencing factors such as pipe corrosion resistance, construction quality stability, maintenance frequency correlation, and corrosion rate, and combining the weight of each parameter on the pipeline aging (e.g., the weight of corrosion data during the operational phase is higher than that of design parameters), the system calculates a unique aging index coefficient for each pre-defined pipe section. Subsequently, the aging index coefficient is compared and analyzed with the pre-defined aging index threshold (defined according to pipeline design standards, safe operation requirements, and industry specifications). The severity of aging is determined based on the difference range, and divided into four levels: extremely severe, severe, relatively severe, and slight. Based on the aging severity and the pipeline network... Based on functional importance (such as the priority difference between main and branch pipes), the system intelligently matches the corresponding renovation priority: pipe sections with extremely severe aging are matched with the "emergency renovation" priority, requiring immediate rectification; severe sections correspond to "key renovation," which is prioritized for inclusion in the recent renovation plan; moderately severe sections are matched with "general renovation," proceeding according to the standard process; and minor sections are determined to be "postponed renovation," requiring only continuous monitoring. Finally, differentiated renovation plans are developed for different renovation priorities: emergency renovations focus on quickly eliminating safety hazards, using efficient measures such as complete pipe replacement and temporary bypass construction; key renovations focus on performance upgrades, combining BIM simulation to optimize pipe material selection and construction processes; general renovations emphasize local repairs and functional improvements, such as joint reinforcement and anti-corrosion treatment; and postponed renovations develop targeted monitoring plans, regularly updating aging data and dynamically adjusting control strategies.

[0030] According to an embodiment of the present invention, the step of obtaining the measured spatial parameters and reference spatial parameters of the target road network, and processing them to obtain the corresponding parameter deviation value set, includes: Obtain the spatial measured parameters of the target road network, including the measured network axis coordinates, measured elevation data, measured pipe diameter, and measured pipe slope; Obtain the reference spatial parameters of the target road network, including the coordinates of the starting point of the pipe segment, the coordinates of the ending point of the pipe segment, the axis elevation, the pipe diameter specification, and the reference pipe slope; Based on the measured spatial parameters and the reference spatial parameters, a corresponding comparison process is performed to obtain the corresponding parameter deviation value set; The parameter deviation value group includes plane deviation value, elevation deviation value, pipe diameter deviation value, and slope deviation value.

[0031] It is important to emphasize that, to ensure the accuracy and operational adaptability of the road pipeline network spatial layout, it is necessary to obtain the spatially measured parameters of the target road pipeline network through professional surveying and mapping techniques. GNSS positioning, 3D laser scanning, and pipeline endoscopic inspection equipment are used to accurately collect the measured pipeline network axis coordinates (including X and Y plane coordinates), measured elevation data (bottom and top elevations of the pipe), measured pipe diameter (the actual inner diameter of the pipe measured by endoscopic equipment), and measured pipe slope (the actual laying slope calculated based on the elevation difference and pipe segment length) for each pre-set pipe segment. Simultaneously, the baseline spatial parameters of the target road pipeline network are retrieved from the BIM digital model and original design files. These parameters serve as the standard basis for pipeline network construction, specifically including the coordinates of the pipe segment starting point. The measured spatial parameters are compared with the corresponding reference spatial parameters along the same dimension. The absolute value or relative deviation of the difference between the two parameters is calculated to form a complete parameter deviation value group. The parameter deviation value group specifically covers the plane deviation value (the offset between the measured axis coordinates and the design coordinates), the elevation deviation value (the difference between the measured elevation and the design elevation), the pipe diameter deviation value (the difference between the measured inner diameter and the design specification), and the slope deviation value (the degree of deviation between the measured slope and the reference slope).

[0032] According to an embodiment of the present invention, the step of determining the deviation level based on the parameter deviation value group and taking corresponding adjustment measures includes: The deviation values ​​are weighted according to the plane deviation value, elevation deviation value, pipe diameter deviation value and slope deviation value to obtain the deviation comprehensive value coefficient; The deviation level is determined based on the comprehensive deviation value coefficient. The deviation levels include Level I deviation, Level II deviation, and Level III deviation; Take appropriate adjustment measures based on the deviation level.

[0033] It is important to note that weights are assigned to each deviation parameter based on their importance to the pipeline network operation (e.g., elevation deviation and slope deviation have higher weights than plane deviation because they directly affect hydraulic flow). A weighted calculation is then performed on the plane deviation, elevation deviation, pipe diameter deviation, and slope deviation to derive the comprehensive deviation coefficient. Next, in conjunction with pipeline network design specifications, safe operation thresholds, and industry operation and maintenance standards, a deviation level judgment range is defined: when the comprehensive deviation coefficient is in the preset low range, it is judged as Level I deviation (minor deviation), with minimal impact on pipeline network operation; when it is in the middle range, it is judged as Level II deviation (moderate deviation), which may lead to localized hydraulic obstruction. Potential hazards may arise; when the deviation is in a high range, it is classified as Level III (serious deviation), which can easily lead to major problems such as pipe damage and drainage failure. Differentiated adjustment measures are taken for different deviation levels: Level I deviation does not require large-scale renovation, but can be corrected by BIM model data and key monitoring points are marked; Level II deviation adopts a local fine-tuning scheme, such as adjusting the position of pipe joints, local backfilling and leveling, or correcting the slope; Level III deviation requires systematic rectification, including pipe relocation, partial replacement or re-laying. After rectification, spatial measurement parameters need to be collected again to verify whether the deviation has been reduced to the allowable range and to ensure that the spatial layout of the pipeline network is consistent with the benchmark parameters.

[0034] Please refer to Figure 2 , Figure 2 This is a schematic diagram of the architecture of the BIM-based road pipeline network full life cycle detection and optimization method provided in this embodiment. According to this embodiment, for example, when the hydraulic state of a certain pipe section does not meet the preset requirements, multiple different optimization schemes are selected. Some schemes involve adjusting the pipe diameter, some optimize the pipe slope, some adjust the manhole location, and some combine multiple adjustments. Hydraulic simulation tests are then performed on each optimization scheme, and the corresponding test results are recorded. Based on the test results, drainage efficiency and construction cost are extracted, and a preset weighted algorithm is used to quantify drainage efficiency and construction cost. Finally, the optimization rationality coefficient of each scheme is calculated. The system sorts the schemes from highest to lowest optimization rationality coefficient, selects the optimal scheme that balances drainage effect and economy, and finally, adjustments are made to the corresponding pipe section based on the optimal scheme.

[0035] Secondly, this invention also discloses a BIM-based road pipeline network lifecycle detection and optimization system, including a memory and a processor. The memory includes a BIM-based road pipeline network lifecycle detection and optimization method program. When the BIM-based road pipeline network lifecycle detection and optimization method program is executed by the processor, it performs the following steps: Monitor the target road network, collect hydraulic parameters of each preset pipe section, process them to obtain the hydraulic state coefficient of the pipe section, and determine whether the hydraulic state meets the preset state requirements. If the hydraulic state does not meet the preset state requirements, multiple optimization schemes are matched, and hydraulic simulation tests are performed. The optimal scheme is selected based on the test results. Monitor the operation of each preset pipe section and collect design characteristic parameters, construction characteristic parameters, and operational characteristic parameters within a preset time period; The design characteristic parameters, construction characteristic parameters and operation characteristic parameters are processed to obtain the aging index coefficients corresponding to each preset pipe section, and the corresponding renovation priority and renovation plan are adapted accordingly. Obtain the measured spatial parameters and reference spatial parameters of the target road network, and process them to obtain the corresponding parameter deviation value set; The deviation level is determined based on the parameter deviation value group, and corresponding adjustment measures are taken.

[0036] It is important to emphasize that, based on the pain points of traditional pipeline networks—such as "inaccurate hydraulic monitoring, unsystematic aging assessment, and difficulty in controlling spatial deviations"—a full lifecycle monitoring and optimization solution integrating BIM technology is needed. This solution involves accurately collecting multi-dimensional parameters, scientifically analyzing status indicators, and dynamically matching optimization strategies. Therefore, the first step is to monitor the target road pipeline network, collecting hydraulic parameters for each preset pipe section, including flow velocity, fullness, flow rate, water level, and manhole water level. This data is then processed to obtain the hydraulic state coefficient of the pipe section, and it is determined whether the hydraulic state meets the preset requirements. If the hydraulic state deviation rate exceeds the preset hydraulic state deviation rate threshold, the hydraulic state of the corresponding preset pipe section does not meet the preset requirements. In this case, multiple optimization schemes are matched, including adjusting pipe diameter specifications, optimizing pipe slope, or adjusting manhole location (one or more of these options). Hydraulic simulation tests are then performed, and the optimal scheme is selected based on the test results. The operation of each preset pipe section is monitored, collecting design characteristic parameters, construction characteristic parameters, and operational characteristic parameters within a preset time period. Design characteristic parameters include pipe material type, service life, pipe diameter, wall thickness, and burial depth. The engineering characteristic parameters include connection process records, construction quality inspection reports, backfill compaction, and pipeline pressure test data. Operational characteristic parameters include maintenance frequency, maintenance type, hydraulic condition data, water quality corrosion monitoring data, and changes in surrounding loads. Next, based on the design, construction, and operational characteristic parameters, the aging index coefficients corresponding to each preset pipe section are obtained, and corresponding renovation priorities and renovation plans are adapted. Renovation priorities include emergency renovation, key renovation, general renovation, and postponed renovation. Finally, the spatial measured parameters of the target road pipeline network are obtained, including measured pipeline axis coordinates, measured elevation data, measured pipe diameter, and measured pipe slope, as well as benchmark spatial parameters, including pipe section start-point coordinates, pipe section end-point coordinates, axis elevation, pipe diameter specifications, and benchmark pipe slope. These are processed to obtain corresponding parameter deviation value sets, including plane deviation values, elevation deviation values, pipe diameter deviation values, and slope deviation values. The deviation level is determined based on the parameter deviation value sets, and corresponding adjustment measures are taken, thereby realizing the technology of BIM-based full life-cycle inspection and optimization of road pipeline networks.

[0037] According to an embodiment of the present invention, the monitoring of the target road pipeline network, collecting hydraulic parameters of each preset pipeline segment, processing them to obtain the hydraulic state coefficient of the pipeline segment, and determining whether the hydraulic state meets the preset state requirements, includes: Monitor the operation of the target road pipeline network and collect hydraulic parameters of each preset pipeline section; The hydraulic parameters include water flow velocity, fill factor, flow rate, water level, and manhole water level; The water flow velocity, fullness, flow rate, water level, and inspection well water level are processed by a preset hydraulic flow state algorithm to obtain the hydraulic state coefficient of each preset pipe segment. The hydraulic state deviation rate is obtained by comparing the hydraulic state coefficient of the pipe section with the preset benchmark pipe section hydraulic state threshold. Based on the hydraulic state deviation rate, determine whether the hydraulic state of the corresponding preset pipe section meets the preset state requirements. If the hydraulic state deviation rate is less than or equal to the preset hydraulic state deviation rate threshold, then the hydraulic state of the corresponding preset pipe section meets the preset state requirements. If the hydraulic state deviation rate is greater than the preset hydraulic state deviation rate threshold, then the hydraulic state of the corresponding preset pipe section does not meet the preset state requirements.

[0038] It is important to emphasize that, to achieve precise control over the hydraulic status of road pipeline networks, comprehensive monitoring of the real-time operational status of the target road pipeline network is necessary. For each pre-defined pipe segment within the network system, core hydraulic parameters are continuously collected via IoT terminals such as intelligent sensors and flow monitors deployed at key nodes and manhole locations. These parameters specifically include water flow velocity within the pipe segment, pipe fullness, instantaneous flow rate, real-time water level within the pipe, and the corresponding manhole level. These hydraulic parameters are then synchronized to a BIM-based digital management platform. The platform uses a pre-defined hydraulic flow algorithm to standardize the data. This algorithm, based on fluid mechanics principles, integrates key indicators such as the stability of water flow velocity, the rationality of fullness, the matching degree of flow rate, and the linkage between pipe water level and manhole water level through weighted calculations, thereby eliminating data noise interference. Finally, the system outputs a unique hydraulic state coefficient for each preset pipe segment, achieving a quantitative representation of the hydraulic operating state. Subsequently, the system compares and analyzes the hydraulic state coefficient of each pipe segment with a preset benchmark hydraulic state threshold. By calculating the percentage difference between the two, it obtains a precise hydraulic state deviation rate. Based on the hydraulic state deviation rate, it determines whether the hydraulic state of the corresponding preset pipe segment meets the preset state requirements: if the calculated hydraulic state deviation rate is less than or equal to the preset hydraulic state deviation rate threshold, it indicates that the water flow in the pipe segment is stable, without problems such as congestion, leakage, or abnormal pressure, and the hydraulic state meets the preset safe and stable operation requirements; if the hydraulic state deviation rate is greater than the preset hydraulic state deviation rate threshold, it indicates that the pipe segment has a hydraulic imbalance, which may lead to problems such as poor drainage and excessive pipeline pressure, and its hydraulic state does not meet the preset state requirements, requiring subsequent optimization and adjustment processes.

[0039] According to an embodiment of the present invention, if the hydraulic state does not meet the preset state requirements, multiple optimization schemes are matched, and hydraulic simulation tests are performed. The optimal scheme is then selected based on the test results, including: If the hydraulic state does not meet the preset state requirements, multiple optimization schemes are matched in combination with the corresponding preset pipe section. The optimization scheme includes one or more of the following: adjusting the pipe diameter, optimizing the pipe slope, or adjusting the location of the inspection well. Perform hydraulic simulation tests on each group of optimization schemes and record the corresponding test results data; Based on the test results, drainage efficiency and construction costs can be extracted. The optimization rationality coefficient is obtained by weighting the drainage efficiency and construction cost. The optimal solution is selected based on the optimization rationality coefficient.

[0040] It is important to note that when the hydraulic condition of a preset pipe section is determined to be inconsistent with the preset requirements, the system will intelligently match multiple targeted optimization schemes based on the BIM model data, hydraulic condition deviation rate, and actual operating conditions of that pipe section. These schemes include adjusting pipe diameter specifications (such as increasing the diameter of congested sections or adapting to economical diameters for low-flow sections), optimizing pipe slope (adjusting the laying slope according to terrain conditions to improve water flow velocity), and adjusting manhole locations (optimizing spacing or elevation to improve water collection efficiency and reduce siltation). Furthermore, single or combined measures can be selected based on actual needs. Subsequently, using the BIM-integrated hydraulic simulation engine, a refined hydraulic simulation test is performed on each optimization scheme. The simulation process recreates the actual operating environment of the target pipe network, simultaneously recording drainage flow, pipe pressure, water flow velocity, and other parameters. Key test results, such as those related to siltation risk, ensure a high degree of consistency between simulation results and actual working conditions. Based on these test results, the system accurately extracts two core evaluation indicators: drainage efficiency (comprehensively reflecting the improvement effect of the solution on hydraulic imbalance problems, such as the degree of congestion relief and the rate of increase in drainage speed); and construction cost (covering the entire process costs, including material procurement, construction and renovation, and subsequent maintenance). A preset weighted algorithm quantifies drainage efficiency and construction cost, with weight allocation dynamically adjusted based on the priority of pipeline network operation and maintenance (e.g., focusing on drainage efficiency in key areas and balancing efficiency and cost in general areas). The system then calculates the optimization rationality coefficient for each group of solutions. These coefficients are ranked from highest to lowest, and the optimal solution that balances drainage effectiveness and economy is selected, providing a scientific basis for pipeline network renovation decisions.

[0041] According to an embodiment of the present invention, the monitoring of the operation of each preset pipe section, and the collection of design characteristic parameters, construction characteristic parameters, and operational characteristic parameters within a preset time period, includes: Monitor the operation of each preset pipe section and collect the corresponding design characteristic parameters and construction characteristic parameters; The design characteristic parameters include pipe type, service life, pipe diameter, wall thickness, and burial depth; The construction characteristic parameters include connection process records, construction quality inspection reports, backfill compaction, and pipeline pressure test data. Simultaneously acquire the operational characteristic parameters of each preset pipe section within a preset time period, including maintenance frequency, maintenance type, hydraulic condition data, water quality corrosion monitoring data, and changes in surrounding loads.

[0042] It is important to emphasize that, in order to manage and control the operation of the road pipeline network throughout its entire lifecycle, it is necessary to continuously monitor the real-time operational status of each pre-designed pipe section and collect core parameters at all stages. On the one hand, by retrieving digital archives and BIM model-related data from the pipeline network construction phase, design characteristic parameters and construction characteristic parameters can be accurately collected. The design characteristic parameters cover pipe type (such as concrete pipe, PE pipe, etc.), design service life, nominal pipe diameter, pipe wall thickness, and design burial depth, comprehensively reflecting the inherent design attributes of the pipeline network. The construction characteristic parameters include pipe connection process records (such as socket type, welded type, etc.), construction quality inspection reports (including appearance inspection, dimensional deviation, etc.), and backfill compaction. On the one hand, the system collects key construction indicators such as test data, pipeline pressure values, and pressure holding time. On the other hand, it utilizes IoT monitoring equipment, operation and maintenance management systems, and manual inspection records to simultaneously acquire operational characteristic parameters of each pre-set pipeline section within a pre-set time period (such as quarterly or annually). These parameters include maintenance frequency (statistics on the number of fault repairs), maintenance type (such as leak repair, joint reinforcement, and pipeline replacement), real-time hydraulic condition data (dynamic changes in flow rate and pressure), water quality corrosion monitoring data (reflecting the degree of corrosion on the inner wall of the pipeline), and changes in surrounding loads (such as road traffic loads, surrounding construction loads, and other external influencing factors). This allows for a comprehensive capture of the status changes and potential risks during the operation of the pipeline network.

[0043] According to an embodiment of the present invention, the step of processing the design characteristic parameters, construction characteristic parameters, and operational characteristic parameters to obtain the aging index coefficient corresponding to each preset pipe section, and adapting it to the corresponding renovation priority and renovation plan, includes: Based on the design characteristic parameters, construction characteristic parameters and operation characteristic parameters, the aging index coefficients corresponding to each preset pipe section are obtained by processing them through the preset pipe section aging assessment model. The severity of aging is obtained by comparing the aging index coefficient with the preset aging index threshold. Prioritize modifications based on the severity of aging. The renovation priorities include emergency renovation, key renovation, general renovation, and renovation that is temporarily suspended; Develop corresponding renovation plans based on the aforementioned renovation priorities.

[0044] It is important to note that the collected design, construction, and operational characteristic parameters are standardized and preprocessed to eliminate data format differences and outlier interference before being input into a pre-defined pipe section aging assessment model. This model is built based on big data analysis and machine learning algorithms. By quantifying key influencing factors such as pipe corrosion resistance, construction quality stability, maintenance frequency correlation, and corrosion rate, and combining the weight of each parameter on the pipeline aging (e.g., the weight of corrosion data during the operational phase is higher than that of design parameters), the system calculates a unique aging index coefficient for each pre-defined pipe section. Subsequently, the aging index coefficient is compared and analyzed with the pre-defined aging index threshold (defined according to pipeline design standards, safe operation requirements, and industry specifications). The severity of aging is determined based on the difference range, and divided into four levels: extremely severe, severe, relatively severe, and slight. Based on the aging severity and the pipeline network... Based on functional importance (such as the priority difference between main and branch pipes), the system intelligently matches the corresponding renovation priority: pipe sections with extremely severe aging are matched with the "emergency renovation" priority, requiring immediate rectification; severe sections correspond to "key renovation," which is prioritized for inclusion in the recent renovation plan; moderately severe sections are matched with "general renovation," proceeding according to the standard process; and minor sections are determined to be "postponed renovation," requiring only continuous monitoring. Finally, differentiated renovation plans are developed for different renovation priorities: emergency renovations focus on quickly eliminating safety hazards, using efficient measures such as complete pipe replacement and temporary bypass construction; key renovations focus on performance upgrades, combining BIM simulation to optimize pipe material selection and construction processes; general renovations emphasize local repairs and functional improvements, such as joint reinforcement and anti-corrosion treatment; and postponed renovations develop targeted monitoring plans, regularly updating aging data and dynamically adjusting control strategies.

[0045] According to an embodiment of the present invention, the step of obtaining the measured spatial parameters and reference spatial parameters of the target road network, and processing them to obtain the corresponding parameter deviation value set, includes: Obtain the spatial measured parameters of the target road network, including the measured network axis coordinates, measured elevation data, measured pipe diameter, and measured pipe slope; Obtain the reference spatial parameters of the target road network, including the coordinates of the starting point of the pipe segment, the coordinates of the ending point of the pipe segment, the axis elevation, the pipe diameter specification, and the reference pipe slope; Based on the measured spatial parameters and the reference spatial parameters, a corresponding comparison process is performed to obtain the corresponding parameter deviation value set; The parameter deviation value group includes plane deviation value, elevation deviation value, pipe diameter deviation value, and slope deviation value.

[0046] It is important to emphasize that, to ensure the accuracy and operational adaptability of the road pipeline network spatial layout, it is necessary to obtain the spatially measured parameters of the target road pipeline network through professional surveying and mapping techniques. GNSS positioning, 3D laser scanning, and pipeline endoscopic inspection equipment are used to accurately collect the measured pipeline network axis coordinates (including X and Y plane coordinates), measured elevation data (bottom and top elevations of the pipe), measured pipe diameter (the actual inner diameter of the pipe measured by endoscopic equipment), and measured pipe slope (the actual laying slope calculated based on the elevation difference and pipe segment length) for each pre-set pipe segment. Simultaneously, the baseline spatial parameters of the target road pipeline network are retrieved from the BIM digital model and original design files. These parameters serve as the standard basis for pipeline network construction, specifically including the coordinates of the pipe segment starting point. The measured spatial parameters are compared with the corresponding reference spatial parameters along the same dimension. The absolute value or relative deviation of the difference between the two parameters is calculated to form a complete parameter deviation value group. The parameter deviation value group specifically covers the plane deviation value (the offset between the measured axis coordinates and the design coordinates), the elevation deviation value (the difference between the measured elevation and the design elevation), the pipe diameter deviation value (the difference between the measured inner diameter and the design specification), and the slope deviation value (the degree of deviation between the measured slope and the reference slope).

[0047] According to an embodiment of the present invention, the step of determining the deviation level based on the parameter deviation value group and taking corresponding adjustment measures includes: The deviation values ​​are weighted according to the plane deviation value, elevation deviation value, pipe diameter deviation value and slope deviation value to obtain the deviation comprehensive value coefficient; The deviation level is determined based on the comprehensive deviation value coefficient. The deviation levels include Level I deviation, Level II deviation, and Level III deviation; Take appropriate adjustment measures based on the deviation level.

[0048] It is important to note that weights are assigned to each deviation parameter based on their importance to the pipeline network operation (e.g., elevation deviation and slope deviation have higher weights than plane deviation because they directly affect hydraulic flow). A weighted calculation is then performed on the plane deviation, elevation deviation, pipe diameter deviation, and slope deviation to derive the comprehensive deviation coefficient. Next, in conjunction with pipeline network design specifications, safe operation thresholds, and industry operation and maintenance standards, a deviation level judgment range is defined: when the comprehensive deviation coefficient is in the preset low range, it is judged as Level I deviation (minor deviation), with minimal impact on pipeline network operation; when it is in the middle range, it is judged as Level II deviation (moderate deviation), which may lead to localized hydraulic obstruction. Potential hazards may arise; when the deviation is in a high range, it is classified as Level III (serious deviation), which can easily lead to major problems such as pipe damage and drainage failure. Differentiated adjustment measures are taken for different deviation levels: Level I deviation does not require large-scale renovation, but can be corrected by BIM model data and key monitoring points are marked; Level II deviation adopts a local fine-tuning scheme, such as adjusting the position of pipe joints, local backfilling and leveling, or correcting the slope; Level III deviation requires systematic rectification, including pipe relocation, partial replacement or re-laying. After rectification, spatial measurement parameters need to be collected again to verify whether the deviation has been reduced to the allowable range and to ensure that the spatial layout of the pipeline network is consistent with the benchmark parameters.

[0049] This invention discloses a BIM-based method and system for the full lifecycle detection and optimization of road pipeline networks. By monitoring the target road pipeline network, collecting hydraulic parameters of each preset pipe section, processing them to obtain the hydraulic state coefficient of the pipe section, and determining whether the hydraulic state meets the preset state requirements, if the hydraulic state does not meet the preset state requirements, multiple optimization schemes are matched, and hydraulic simulation tests are performed. Based on the test results, the optimal scheme is selected. The system also monitors the operation of each preset pipe section, collecting design characteristic parameters, construction characteristic parameters, and operational characteristic parameters within a preset time period. Based on the design characteristic parameters, construction characteristic parameters, and operational characteristic parameters, the system obtains the aging index coefficients corresponding to each preset pipe section, and adapts the corresponding renovation priorities and renovation schemes. Furthermore, the system obtains the spatial measured parameters and benchmark spatial parameters of the target road pipeline network, processes them to obtain the corresponding parameter deviation value groups, determines the deviation level based on the parameter deviation value groups, and takes corresponding adjustment measures. This achieves BIM-based technology for the full lifecycle detection and optimization of road pipeline networks.

[0050] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods, such as: multiple units or components can be combined, or integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the various components shown or discussed can be through some interfaces, and the indirect coupling or communication connection between devices or units can be electrical, mechanical, or other forms.

[0051] The units described above as separate components may or may not be physically separate. The components shown as units may or may not be physical units. They may be located in one place or distributed across multiple network units. Some or all of the units may be selected to achieve the purpose of this embodiment according to actual needs.

[0052] In addition, in the various embodiments of the present invention, each functional unit can be integrated into one processing unit, or each unit can be a separate unit, or two or more units can be integrated into one unit; the integrated unit can be implemented in hardware or in the form of hardware plus software functional units.

[0053] Those skilled in the art will understand that all or part of the steps of the above method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a readable storage medium. When the program is executed, it performs the steps of the above method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0054] Alternatively, if the integrated units of this invention are implemented as software functional modules and sold or used as independent products, they can also be stored in a readable storage medium. Based on this understanding, the technical solutions of the embodiments of this invention, or the parts that contribute to the prior art, can be embodied in the form of a software product. This software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, ROM, RAM, magnetic disks, or optical disks.

Claims

1. A BIM-based road pipe network full life cycle detection and optimization method, characterized in that, Includes the following steps: Monitor the target road network, collect hydraulic parameters of each preset pipe section, process them to obtain the hydraulic state coefficient of the pipe section, and determine whether the hydraulic state meets the preset state requirements. If the hydraulic state does not meet the preset state requirements, multiple optimization schemes are matched, and hydraulic simulation tests are performed. The optimal scheme is selected based on the test results. Monitor the operation of each preset pipe section and collect design characteristic parameters, construction characteristic parameters, and operational characteristic parameters within a preset time period; The design characteristic parameters, construction characteristic parameters and operation characteristic parameters are processed to obtain the aging index coefficients corresponding to each preset pipe section, and the corresponding renovation priority and renovation plan are adapted accordingly. Obtain the measured spatial parameters and reference spatial parameters of the target road network, and process them to obtain the corresponding parameter deviation value set; The deviation level is determined based on the parameter deviation value group, and corresponding adjustment measures are taken.

2. The method for full lifecycle inspection and optimization of road pipeline networks based on BIM according to claim 1, characterized in that, The monitored target road network collects hydraulic parameters for each preset pipe section, processes them to obtain the hydraulic state coefficient of the pipe section, and determines whether the hydraulic state meets the preset state requirements, including: Monitor the operation of the target road pipeline network and collect hydraulic parameters of each preset pipeline section; The hydraulic parameters include water flow velocity, fill factor, flow rate, water level, and manhole water level; The water flow velocity, fullness, flow rate, water level, and inspection well water level are processed by a preset hydraulic flow state algorithm to obtain the hydraulic state coefficient of each preset pipe segment. The hydraulic state deviation rate is obtained by comparing the hydraulic state coefficient of the pipe section with the preset benchmark pipe section hydraulic state threshold. Based on the hydraulic state deviation rate, determine whether the hydraulic state of the corresponding preset pipe section meets the preset state requirements. If the hydraulic state deviation rate is less than or equal to the preset hydraulic state deviation rate threshold, then the hydraulic state of the corresponding preset pipe section meets the preset state requirements. If the hydraulic state deviation rate is greater than the preset hydraulic state deviation rate threshold, then the hydraulic state of the corresponding preset pipe section does not meet the preset state requirements.

3. The BIM-based method for the full lifecycle inspection and optimization of road pipeline networks according to claim 2, characterized in that, If the hydraulic state does not meet the preset state requirements, multiple optimization schemes are matched, and hydraulic simulation tests are performed. The optimal scheme is selected based on the test results, including: If the hydraulic state does not meet the preset state requirements, multiple optimization schemes are matched in combination with the corresponding preset pipe section. The optimization scheme includes one or more of the following: adjusting the pipe diameter, optimizing the pipe slope, or adjusting the location of the inspection well. Perform hydraulic simulation tests on each group of optimization schemes and record the corresponding test results data; Based on the test results, drainage efficiency and construction costs can be extracted. The optimization rationality coefficient is obtained by weighting the drainage efficiency and construction cost. The optimal solution is selected based on the optimization rationality coefficient.

4. The BIM-based method for full lifecycle inspection and optimization of road pipeline networks according to claim 1, characterized in that, The monitoring of the operation of each preset pipe section involves collecting design characteristic parameters, construction characteristic parameters, and operational characteristic parameters within a preset time period, including: Monitor the operation of each preset pipe section and collect the corresponding design characteristic parameters and construction characteristic parameters; The design characteristic parameters include pipe type, service life, pipe diameter, wall thickness, and burial depth; The construction characteristic parameters include connection process records, construction quality inspection reports, backfill compaction, and pipeline pressure test data. Simultaneously acquire the operational characteristic parameters of each preset pipe section within a preset time period, including maintenance frequency, maintenance type, hydraulic condition data, water quality corrosion monitoring data, and changes in surrounding loads.

5. The BIM-based method for full lifecycle inspection and optimization of road pipeline networks according to claim 4, characterized in that, The process of processing the design characteristic parameters, construction characteristic parameters, and operational characteristic parameters to obtain the aging index coefficients corresponding to each preset pipe section, and adapting them to the corresponding renovation priorities and renovation plans, includes: Based on the design characteristic parameters, construction characteristic parameters and operation characteristic parameters, the aging index coefficients corresponding to each preset pipe section are obtained by processing them through the preset pipe section aging assessment model. The severity of aging is obtained by comparing the aging index coefficient with the preset aging index threshold. Prioritize modifications based on the severity of aging. The renovation priorities include emergency renovation, key renovation, general renovation, and renovation that is temporarily suspended; Develop corresponding renovation plans based on the aforementioned renovation priorities.

6. The BIM-based method for full lifecycle inspection and optimization of road pipeline networks according to claim 1, characterized in that, The process of acquiring the measured spatial parameters and reference spatial parameters of the target road network, and processing them to obtain the corresponding parameter deviation value set, includes: Obtain the spatial measured parameters of the target road network, including the measured network axis coordinates, measured elevation data, measured pipe diameter, and measured pipe slope; Obtain the reference spatial parameters of the target road network, including the coordinates of the starting point of the pipe segment, the coordinates of the ending point of the pipe segment, the axis elevation, the pipe diameter specification, and the reference pipe slope; Based on the measured spatial parameters and the reference spatial parameters, a corresponding comparison process is performed to obtain the corresponding parameter deviation value set; The parameter deviation value group includes plane deviation value, elevation deviation value, pipe diameter deviation value, and slope deviation value.

7. The BIM-based method for full lifecycle inspection and optimization of road pipeline networks according to claim 6, characterized in that, The step of determining the deviation level based on the parameter deviation value group and taking corresponding adjustment measures includes: The deviation values ​​are weighted according to the plane deviation value, elevation deviation value, pipe diameter deviation value and slope deviation value to obtain the deviation comprehensive value coefficient; The deviation level is determined based on the comprehensive deviation value coefficient. The deviation levels include Level I deviation, Level II deviation, and Level III deviation; Take appropriate adjustment measures based on the deviation level.

8. A BIM-based road pipeline network full lifecycle inspection and optimization system, characterized in that, The system includes a memory and a processor. The memory contains a program for a BIM-based method for the full lifecycle detection and optimization of road pipeline networks. When the program is executed by the processor, it performs the following steps: Monitor the target road network, collect hydraulic parameters of each preset pipe section, process them to obtain the hydraulic state coefficient of the pipe section, and determine whether the hydraulic state meets the preset state requirements. If the hydraulic state does not meet the preset state requirements, multiple optimization schemes are matched, and hydraulic simulation tests are performed. The optimal scheme is selected based on the test results. Monitor the operation of each preset pipe section and collect design characteristic parameters, construction characteristic parameters, and operational characteristic parameters within a preset time period; The design characteristic parameters, construction characteristic parameters and operation characteristic parameters are processed to obtain the aging index coefficients corresponding to each preset pipe section, and the corresponding renovation priority and renovation plan are adapted accordingly. Obtain the measured spatial parameters and reference spatial parameters of the target road network, and process them to obtain the corresponding parameter deviation value set; The deviation level is determined based on the parameter deviation value group, and corresponding adjustment measures are taken.

9. The BIM-based road pipeline network full lifecycle detection and optimization system according to claim 8, characterized in that, The monitored target road network collects hydraulic parameters for each preset pipe section, processes them to obtain the hydraulic state coefficient of the pipe section, and determines whether the hydraulic state meets the preset state requirements, including: Monitor the operation of the target road pipeline network and collect hydraulic parameters of each preset pipeline section; The hydraulic parameters include water flow velocity, fill factor, flow rate, water level, and manhole water level; The water flow velocity, fullness, flow rate, water level, and inspection well water level are processed by a preset hydraulic flow state algorithm to obtain the hydraulic state coefficient of each preset pipe segment. The hydraulic state deviation rate is obtained by comparing the hydraulic state coefficient of the pipe section with the preset benchmark pipe section hydraulic state threshold. Based on the hydraulic state deviation rate, determine whether the hydraulic state of the corresponding preset pipe section meets the preset state requirements. If the hydraulic state deviation rate is less than or equal to the preset hydraulic state deviation rate threshold, then the hydraulic state of the corresponding preset pipe section meets the preset state requirements. If the hydraulic state deviation rate is greater than the preset hydraulic state deviation rate threshold, then the hydraulic state of the corresponding preset pipe section does not meet the preset state requirements.

10. The BIM-based road pipeline network full lifecycle detection and optimization system according to claim 9, characterized in that, If the hydraulic state does not meet the preset state requirements, multiple optimization schemes are matched, and hydraulic simulation tests are performed. The optimal scheme is selected based on the test results, including: If the hydraulic state does not meet the preset state requirements, multiple optimization schemes are matched in combination with the corresponding preset pipe section. The optimization scheme includes one or more of the following: adjusting the pipe diameter, optimizing the pipe slope, or adjusting the location of the inspection well. Perform hydraulic simulation tests on each group of optimization schemes and record the corresponding test results data; Based on the test results, drainage efficiency and construction costs can be extracted. The optimization rationality coefficient is obtained by weighting the drainage efficiency and construction cost. The optimal solution is selected based on the optimization rationality coefficient.

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