Pipe network repair scheme regulation method, electronic device, and storage medium

Abstract

The application provides a pipe network repair scheme regulation method, electronic equipment and a storage medium, and relates to the technical field of municipal works. The method comprises the following steps: acquiring multi-source heterogeneous data of a pipe network, and constructing a single pipe joint digital twin archive according to the multi-source heterogeneous data and taking the single pipe joint as an independent twin object; generating defect classification codes of each pipe joint according to the digital twin archives of the pipe joints respectively; and obtaining corresponding repair schemes of each pipe joint according to the defect classification codes of the pipe joints respectively. The application determines the working conditions of the single pipe joint based on the multi-source heterogeneous data of the pipe network, realizes accurate adaptation of the repair scheme and the working conditions, and has higher repair scheme matching degree and more accurate repair.

Description

Technical Field

[0001] This invention relates to the field of municipal engineering technology, and in particular to a method for regulating pipeline repair schemes, electronic equipment, and storage medium. Background Technology

[0002] Municipal sewage pipe networks are a crucial component of urban infrastructure. Large-diameter municipal sewage pipe networks bear the core functions of centralized sewage transfer and regional flood control and drainage, directly impacting the stable operation of urban drainage systems and the safety of urban water quality. In river network areas, due to unique natural conditions such as high groundwater levels, extensive soft soil foundations, and dynamic fluctuations in tidal water levels, large-diameter sewage pipe networks are prone to various structural and functional defects during long-term service. Trenchless repair technology, with its advantages of minimal impact on urban surface traffic, short construction period, and low disturbance to the surrounding environment, has become the primary means of treating defects in large-diameter municipal sewage pipe networks in river network areas.

[0003] In existing technologies, standardized repair processes and fixed construction parameters are typically used for operations. This leads to a mismatch between the repair plan and the actual working conditions of the pipeline, which can easily cause increased engineering costs due to over-repair or recurrence of defects and secondary damage to the pipeline due to insufficient repair depth. It is difficult to meet the needs of refined repair of large-diameter municipal sewage pipelines in the complex working conditions of river network areas. Summary of the Invention

[0004] This invention provides a pipeline repair scheme control method, electronic device, and storage medium to solve the problem that the standard repair schemes used in the prior art do not match the actual working conditions of the pipeline and cannot meet the needs of refined repair.

[0005] In a first aspect, embodiments of the present invention provide a method for regulating a pipeline network repair scheme, comprising: Acquire multi-source heterogeneous data of the pipeline network, and construct a digital twin profile of a single pipe section based on the multi-source heterogeneous data and using each pipe section as an independent twin object; Based on the digital twin files of each pipe section, a defect classification code is generated for each pipe section. Based on the defect classification and coding of each pipe section, the corresponding repair plan for each pipe section is obtained.

[0006] In a second aspect, embodiments of the present invention provide an electronic device, including a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the pipeline repair scheme control method as described in the first aspect or any possible implementation of the first aspect.

[0007] Thirdly, embodiments of the present invention provide a computer-readable storage medium storing a computer program that, when executed by a processor, implements the pipeline repair scheme control method as described in the first aspect or any possible implementation thereof.

[0008] This invention provides a method for regulating pipeline repair schemes, an electronic device, and a storage medium. The method includes: acquiring multi-source heterogeneous data of the pipeline network; constructing a digital twin file for each pipe section based on the multi-source heterogeneous data and using each pipe section as an independent twin object; generating a defect classification code for each pipe section based on its digital twin file; and obtaining a repair scheme corresponding to each pipe section based on its defect classification code. In this invention, the operating conditions of a single pipe section are determined based on the multi-source heterogeneous data of the pipeline network, and the repair scheme is matched according to the operating conditions, achieving precise adaptation between the repair scheme and the operating conditions, resulting in more accurate repairs and avoiding various problems caused by over-repair or under-repair. Attached Figure Description

[0009] Figure 1 This is a flowchart illustrating the implementation of a pipeline repair scheme control method provided in an embodiment of the present invention; Figure 2 This is a schematic diagram of the structure of the pipeline repair scheme control device provided in the embodiment of the present invention; Figure 3 This is a schematic diagram of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0010] The embodiments of the present invention will now be described in detail with reference to the accompanying drawings.

[0011] See Figure 1 The diagram illustrates a flowchart of a pipeline repair scheme control method provided by an embodiment of the present invention, which is described in detail below: The above-mentioned pipeline repair scheme and control methods include: S101: Acquire multi-source heterogeneous data of the pipeline network, and construct a digital twin archive of a single pipe section based on the multi-source heterogeneous data and with each pipe section as an independent twin object; Multi-source heterogeneous data can include: basic information such as pipe diameter, burial depth, pipe material, and service life of the pipeline network to be repaired, as well as data on the tidal cycle of surrounding rivers and changes in groundwater levels; Specifically, the pipe diameter, burial depth, pipe material, service life, interface type, plane coordinates and elevation information of a single pipe section can be obtained through pipeline as-built drawings and on-site verification. At the same time, the real-time hydrological monitoring system of the surrounding river of the pipeline to be repaired can be connected to obtain the tidal cycle, groundwater level change data (daily water level change range), and historical highest water level data of the surrounding river section, and collect them into a surrounding environmental hydrological dataset.

[0012] Multi-source heterogeneous data may also include: visualization data of defects inside pipes, dimensional quantification data, penetration detection data of water-filled sections and silt-covered sections inside pipes, and settlement risk of soft soil foundations.

[0013] Specifically, an intelligent inspection robot equipped with a high-definition camera and a 3D laser scanning module is used to collect visualized data and quantitative data on geometric dimensions of defects inside the pipe; a high-frequency sonar detection system is used to collect penetration detection data of water-filled sections and silt-covered sections inside the pipe, fully covering all dimensions of information on structural and functional defects inside the pipe; and a soil compaction testing device around the pipe is used to obtain data on soil compaction, settlement displacement, and void ratio of the soft soil foundation within a radial range of 0.8m to 1.5m around the pipe section, forming a soil dataset around the pipe to obtain the settlement risk of the soft soil foundation.

[0014] Multi-source heterogeneous data undergoes deduplication, outlier removal, and dimensional calibration to complete basic standardization processing of different data sources, providing a unified data foundation for subsequent data fusion. Then, spatiotemporal registration and fusion operations are performed on the standardized data to resolve spatial misalignment issues caused by different acquisition methods and times, ensuring that all data are mapped to the same spatial coordinate system within the same pipe section.

[0015] Specifically, using the plane coordinates, elevation, and station number of the pipe section as the spatial reference and the data acquisition time as the time dimension, a spatial registration method based on station matching is used to complete the fusion of multi-source data. The calculation formula is as follows: Dfuse(k)=ω1·Dpipe(k)+ω2·Dsoil(k)+ω3·Dhydro(k) Among them, Dfuse(k) is the standardized dataset after fusion of the k-th pipe section, which is the core input for constructing the digital twin archive of a single pipe section; k is the pipe section number, which corresponds one-to-one with the on-site pile number of the pipeline network, and the numbering rule is consistent with the single pipe section divided by the pipeline interface; Dpipe(k) is the standardized pipeline body and defect dataset of the k-th pipe section, which is obtained by processing the in-pipe inspection data; Dsoil(k) is the standardized surrounding soil dataset of the k-th pipe section, which is obtained by processing the soil inspection data; Dhydro(k) is the standardized surrounding environmental hydrological dataset of the k-th pipe section, which is obtained by processing the hydrological monitoring data; ω1, ω2, and ω3 are the weight coefficients of the three types of datasets, which are preset fixed values ​​according to the burial depth of the pipe section, the distance of the surrounding river channel, and the geological conditions, and satisfy ω1+ω2+ω3=1.

[0016] The fusion dataset Dfuse(k) will serve as the core data body for the digital twin archive of the kth pipe segment, and at the same time provide a unique quantitative basis for assigning values ​​to the three dimensions of defect type, defect degree, and river network condition impact level of the pipe segment in the subsequent defect classification and coding process.

[0017] The physical pipeline network is mapped to digital twin archives of individual pipe sections. Each pipe section is segmented by its interface, and each section is independently modeled to ensure a one-to-one correspondence between data and physical pipe sections. The digital twin archive contains three core data modules: the first module records the basic attributes and spatial coordinates of the pipe section, including its physical parameters, location information, and interface relationships; the second module quantifies internal defects, recording the type, location, size, and severity of defects; and the third module records the surrounding soil conditions and hydrological environment information. The completed digital twin archive of each pipe section achieves a digital mapping of the physical pipe section, with all data traceable and accessible, providing a full-cycle data carrier for subsequent defect classification and coding, repair plan determination, and construction process control.

[0018] For example, in a municipal sewage pipe network repair project in a river network area, the pipe network is made of reinforced concrete, with a single pipe section length of 2m and the spacing between pipe joints is consistent. Data collection is completed sequentially according to the pipe section number.

[0019] For pipe section k=35, the basic attribute data of the pipe section, namely pipe diameter DN1200, burial depth 3.2m, reinforced concrete pipe material, and service life of 18 years, were first collected. At the same time, hydrological data of the surrounding river with a tidal cycle of 12h and a daily water level variation of 0.8m were obtained. Then, the quantitative data of leakage defects at the joint of the pipe section were obtained through pipe internal detection, and the soil compaction data of the surrounding soil was obtained through soil detection. After completing the data standardization, the fusion dataset of the pipe section was calculated by the above fusion formula, and finally, a digital twin file of the pipe section was constructed.

[0020] The establishment of the digital twin archive provides a complete quantitative data foundation for the subsequent defect classification and coding of the pipe section, ensuring that the selection of subsequent repair solutions is accurately matched with the actual defects and operating conditions of the pipe section, while realizing data traceability of the entire repair process of the pipe section.

[0021] S102: Generate defect classification codes for each pipe section based on the digital twin files of each pipe section; In one possible implementation, the digital twin archive may include: pipe joint defect data, groundwater level change data, soft soil foundation settlement risk, and tidal cycles of surrounding rivers; S102 may include: S1021: For any pipe segment, determine the defect type and severity level of the pipe segment based on the corresponding defect data. Determine the first identifier value based on the defect type and the second identifier value based on the severity level. Determine the river network condition impact level of the pipe segment based on the groundwater level change data, soft soil foundation settlement risk, and tidal cycle of the surrounding river channel. Determine the third identifier value based on the river network condition impact level. Form a defect classification code for the pipe segment based on the first, second, and third identifier values.

[0022] Using digital twin archives as the sole data source, unique defect classification codes are generated by assigning values ​​according to three dimensions.

[0023] In one possible implementation, the defect type may include: structural damage, interface leakage, pipe deformation, and internal scaling; determining a first identification value based on the defect type may include: 1. Based on the defect type, a table lookup is performed to obtain the corresponding first identifier value; each defect type corresponds to a different first identifier value. The second identifier value, derived from the defect severity level, may include: 2. Based on the defect severity level, look up the table to obtain the corresponding second identifier value.

[0024] Defect types include: structural damage, interface leakage, pipe deformation, and internal scaling, each corresponding to one of four different primary identifier values, thus completing the identification assignment for the defect type dimension. For example, each defect type corresponds to a unique English letter identifier: structural damage corresponds to A, interface leakage to B, pipe deformation to C, and internal scaling to D. It should be noted that when a single pipe section has multiple defect types, the highest-risk defect type is taken as the primary identifier, and the remaining defect types are incorporated into the coding system as supplementary identifiers.

[0025] Corresponding to different defect types, the defect severity is quantified into five levels (1-5) based on the damaged area, leakage volume, deformation ellipticity, and scale thickness. A specific secondary identifier value is obtained by referring to a table, thus completing the assignment of the defect severity dimension. Level 1 represents a minor defect with no structural safety risk and no impact on normal pipeline operation; Level 2 represents a slight defect with localized functional degradation; Level 3 represents a moderate defect with a trend towards structural deterioration; Level 4 represents a severe defect with significant structural safety hazards; and Level 5 represents a serious defect where the pipeline has lost its basic operational function.

[0026] By comprehensively considering three core indicators—groundwater level changes, soft soil foundation settlement risk, and the tidal cycle of surrounding rivers—the impact levels of the river network conditions were determined, corresponding to levels 1–3 (tidal, soft soil, and groundwater level). Similarly, the third identifier value was obtained by referring to a table, completing the assignment of identifiers for the impact dimensions. Levels 1–3 correspond to Roman numerals I–III, where I represents a low-impact condition with no groundwater or foundation risk; II represents a medium-impact condition with moderate groundwater and soft soil foundation risk; and III represents a high-impact condition with high groundwater levels, significant soft soil foundation settlement, or strong tidal impact risk.

[0027] For example, for pipe section No. 35, its main defect type is interface leakage, corresponding to the first identifier value B; based on the leakage volume quantification data, the defect level of this pipe section is determined to be level 3, corresponding to the second identifier value 3; finally, considering the groundwater level change data, the soft soil foundation settlement risk, and the tidal cycle of the surrounding river, the river network condition impact level of this pipe section is determined to be level 2, corresponding to the third identifier value II. Integrating the three-dimensional identifiers with the pipe section number, a unique defect classification code for this pipe section is generated as 35-B-3-II.

[0028] The three dimensions of identification are integrated to generate a unique defect classification code for each pipe segment, which serves as the sole index for subsequent full-process parameter calls. For example, the defect classification code structure is: pipe segment number - defect type identifier (first identifier value) - defect severity identifier (second identifier value) - operating condition impact level identifier (third identifier value). The defect classification code is uniquely bound to the digital twin file of a single pipe segment.

[0029] S103: Based on the defect classification code of each pipe section, obtain the corresponding repair plan for each pipe section.

[0030] The defect classification code is mapped to the repair process parameter library, and the repair scheme corresponding to each pipe section is obtained by using the defect classification code as an index.

[0031] In one possible implementation, the repair scheme includes: a preprocessing scheme and a main repair scheme; S103 may include: S1031: For any pipe section, obtain the pretreatment scheme corresponding to the pipe section according to the defect classification code of the pipe section; and obtain the main repair scheme corresponding to the pipe section according to the defect classification code of the pipe section.

[0032] The unique conditions in river network areas necessitate proactive risk control. For instance, high groundwater levels, tidal fluctuations, and soft soil foundations mean that without first sealing leaks and reinforcing the soil, subsequent lining repairs are impossible and could even cause secondary damage to the pipeline. Similarly, for severely leaking pipe sections at joints, sealing leaks and reinforcing the foundation are essential; otherwise, the main repair work could be destroyed by groundwater.

[0033] Therefore, to ensure that the main repair is safe, solid, and successful on the first attempt, while avoiding rework and waste, pretreatment can be carried out first (such as grouting to seal leaks, reinforcing the foundation, hydraulic expansion and correction, etc.) before the main repair is carried out.

[0034] In one possible implementation, S1031 may include: 1. If the defect type of the pipe section is interface leakage and the defect level of the pipe section is not less than level 3, then the pretreatment plan corresponding to the pipe section is: to perform the grouting and leak sealing process, the pipe dredging process and the deformation correction process in sequence. 2. If the defect type of the pipe section is pipe deformation and the defect level of the pipe section is not less than level 3, then the pretreatment plan corresponding to the pipe section is: to perform the graded hydraulic pipe expansion and correction process in sequence, and the internal wall cleaning and leakage point verification grouting process in sequence. 3. Otherwise, the pretreatment plan for the pipe section is as follows: perform the pipe dredging process, the grouting and leak sealing process, and the deformation correction process in sequence.

[0035] Adjust the sequence of work processes according to the type and level of defects to ensure construction safety.

[0036] For leakage defects ≥ level 3: first inject grout to seal the leak and reinforce the foundation, then dredge and correct the leak. Deformation defects ≥ level 3: First, use hydraulic expansion to correct the defects, then clean and grout.

[0037] This application addresses severe leakage at the interface by first sealing the leak, and severe deformation by first expanding and correcting the pipe. Ordinary pipe sections are pre-treated according to conventional procedures, with graded pretreatment. The repair is more targeted, and construction is carried out as needed, without waste or omission.

[0038] For example, the pipeline dredging adopts a combination of high-pressure water jet and mechanical sludge removal process to remove debris, silt, and scale from the pipe, ensuring that the cleanliness of the pipe inner wall meets the requirements for the lining material. The staged hydraulic pipe expansion and correction adopts a multi-stage hydraulic expansion device to gradually adjust the pipe roundness according to the preset staged pressure values ​​in the process parameter library. The deformation of a single expansion does not exceed 3% of the nominal diameter of the pipe, avoiding secondary damage to the pipe. The inner wall cleaning is completed by a flexible pipe cleaner to remove residual dust and loose impurities from the inner wall of the pipe, providing a qualified contact surface for subsequent grouting and lining construction.

[0039] In one possible implementation, the grouting and sealing process may include: (1) If the river network condition impact level of the pipe section is not less than level 2 and it is a soft soil foundation section, the soft soil foundation within a radial range of 0.8m to 1.5m around the pipe section shall be grouted in three zones in the order of pipe interface leakage zone, pipe bottom bearing zone, and pipe surrounding soil stability zone; among them, the pipe interface leakage zone shall use quick-setting grouting material, the pipe bottom bearing zone shall use high-strength consolidation grouting material, and the pipe surrounding soil stability zone shall use micro-expansion filling grouting material.

[0040] (2) After grouting is completed, the soil density data around the pipe is collected and fed back to the digital twin file of the single pipe section, which is used to correct the defect classification code of the corresponding pipe section and optimize the process parameter library.

[0041] This application employs a zoned and graded grouting process for high-impact soft soil foundation sections. In the pipe joint leakage zone, a quick-setting grouting material is used to rapidly seal the leakage channels and block groundwater infiltration. In the pipe bottom bearing zone, a high-strength consolidation grouting material is used to enhance the bearing capacity of the soil at the pipe bottom and reduce the risk of uneven pipe settlement. In the surrounding soil stabilization zone, a micro-expansion filling grouting material is used to fill the pores in the surrounding soil, forming a continuous and stable soil protective layer, enabling more accurate and appropriate repair.

[0042] Meanwhile, during the pretreatment process, process data (such as the cleanliness of the inner wall of the pipe, the sealing effect of the leak point, the roundness of the pipe, and the compaction of the surrounding soil) can be collected in real time and compared with preset thresholds. If the pipe section fails to meet the standards, the secondary pretreatment parameters will be automatically adjusted until all indicators meet the standards and the subsequent main repair process will be unlocked. This ensures the quality of the main repair from the source, realizes closed-loop control of pretreatment, ensures that the basic work before pipeline repair is fully up to standard, and avoids subsequent repair quality defects caused by inadequate pretreatment.

[0043] In one possible implementation, the grouting and sealing process may further include: (3) Determine the grouting volume for a single zone based on the soil parameters in the digital twin file of the pipe section.

[0044] The specific calculation formula is as follows:

[0045] in, For the first The total grouting volume of a single pipe section in each grouting zone, in m³; For the first The grouting diffusion radius of each grouting zone, in meters, is a preset value retrieved from the process parameter library based on the grouting zone type and the working condition level in the defect classification code. The outer radius of the pipe to be repaired, in meters, is derived from the basic attribute data of the pipe section's digital twin archive. This refers to the length of a single pipe section, in meters, and should be consistent with the spacing between pipe joints. The natural void ratio of the soil surrounding the pipe is derived from soil testing data from the digital twin archive of the pipe section. The grouting filling coefficient is a fixed value preset based on the type of grouting material and the properties of the soil.

[0046] In one possible implementation, the defect type may include: structural damage, interface leakage, pipe deformation, and internal scaling; S1031 may include: 1. Determine the defect type, defect severity level, and river network condition impact level of the pipe section based on its defect classification code; 2. If the defect type of the pipe section is structural damage, the defect degree of the pipe section is not less than level 4, and the impact level of the river network working condition of the pipe section is not less than level 2, then the main repair scheme corresponding to the pipe section is a combination process of UV curing integral lining plus local grouting reinforcement at the interface. 3. If the defect type of the pipe section is structural damage and the defect level of the pipe section is no greater than level 3, then the main repair solution corresponding to the pipe section is mechanical spiral winding lining repair process. 4. If the defect type of the pipe section is interface leakage, the main repair solution for the pipe section is local resin curing repair process or stainless steel double expansion ring repair process.

[0047] For severely damaged (defect level not less than level 4) and high-impact (river network condition impact level not less than level 2) conditions, ultraviolet light curing + grouting is adopted, which has strong integrity and high structural strength, and is suitable for high-risk, high-water-level, and soft soil foundation sections.

[0048] For moderate structural damage (defect level no greater than 3), mechanical spiral winding lining is used, which is structurally reliable, quick to construct, and suitable for pipe sections with moderate damage and no large deformation.

[0049] For interface leakage, local resin / double expansion rings are used, which is fast, economical, and non-overall excavation, and is suitable for local defects in interface types.

[0050] Other defect types can be adjusted according to actual application requirements.

[0051] More specifically, the UV curing integral lining process is as follows: the resin-impregnated lining felt tube is dragged into the pipe section to be repaired by a traction device, compressed air is injected to make the lining felt tube fit tightly against the original pipe inner wall, and then the UV curing robot completes the lining curing operation. For the mechanical spiral winding lining process, the strip profile is continuously wound inside the pipe by spiral winding equipment to form a complete inner lining pipe, and the grouting filling of the gap between the inner lining pipe and the original pipe is completed simultaneously. For localized resin curing or stainless steel double expansion ring repair processes, the repair device is precisely positioned at the defect location using a traction device, and air is inflated to ensure that the repair material adheres tightly to the inner wall of the pipe, thus completing the curing or expansion joint operation.

[0052] During construction, data on the lining curing progress, forming thickness, and fit are collected in real time. The collected data is compared with preset construction and operation parameters, and construction and operation parameters such as curing rate, winding speed, and working pressure are dynamically adjusted. The data of the operation process are simultaneously entered into the digital twin file of the single pipe section.

[0053] Based on the three dimensions of defect type, degree, and working condition, this application matches the main repair process in layers from severe to mild and from overall to local, which not only ensures the structural safety of large-diameter pipe networks in river network areas, but also achieves optimal cost, efficient construction, and stable quality.

[0054] For example, a pipe section with a defect classification code of 35-B-3-Ⅱ corresponds to a defect type of interface leakage, a defect severity level of 3, and a river network condition impact level of 2. A repair plan is obtained based on the defect classification code.

[0055] The grouting and leak sealing process was prioritized, followed by the pipeline dredging and deformation correction processes. Considering the Class 2 impact level of the river network conditions on this pipe section, grouting was carried out in three zones. Using the grouting volume calculation formula, combined with the pipe section's outer radius of 0.6m, pipe length of 2m, and natural soil porosity of 0.42, the grouting control volumes for the three zones were calculated. Grouting operations were then completed sequentially in the pipe joint leakage zone, the pipe bottom bearing zone, and the surrounding soil stability zone.

[0056] After grouting is completed, the soil density data and leakage sealing effect data around the pipe are collected. After the data are compared with the preset threshold and meet the standards, the high-pressure water jet pipe dredging and inner wall cleaning process is performed. After the cleaning is completed, the cleanliness of the inner wall of the pipe is tested and meets the standards. A pretreatment completion mark is generated, and the subsequent repair construction permission is unlocked. At the same time, the grouting construction data and pretreatment test data are fed back to the single pipe section digital twin file of the pipe section.

[0057] For different pipe sections and pipe sections switching between different processes, a transition overlap section of 300mm to 500mm is set, and the lining material parameters of the transition overlap section are consistent with the previous process.

[0058] This application constructs a defect classification code with three dimensions: defect type, defect degree, and river network condition impact level. It establishes a repair scheme library (process parameter library) that corresponds one-to-one with the defect classification code. Using the defect classification code as the sole input basis, it achieves accurate adaptation of the entire process procedure, solves the problem of insufficient matching between traditional repair schemes and actual pipeline conditions, and realizes personalized and accurate formulation of repair schemes.

[0059] Because of the ebb and flow of tides and the instability of groundwater levels in river network areas, and because the main repair must be completed during a period of low water level, continuous and safe conditions, this application can also set a construction window (i.e. a safe construction time interval) by combining the tidal cycle of surrounding rivers and groundwater level change data. Construction within the construction window can ensure construction safety, avoid the risk of water inrush and collapse, and ensure that the repair work is completed in one go without being affected by water level.

[0060] Specifically, in one possible implementation, the digital twin archive may include: data on the tidal cycle of surrounding rivers and changes in groundwater levels; the above method may also include: S104: For any given pipe segment, determine the shortest repair operation time based on the corresponding repair plan; determine the river network condition impact level corresponding to the pipe segment based on the defect classification code, and determine the groundwater level safety threshold corresponding to the pipe segment based on the river network condition impact level; determine multiple durations where the groundwater level is lower than the groundwater level safety threshold corresponding to the pipe segment based on the tidal cycle and groundwater level change data of the surrounding river corresponding to the pipe segment; and select the duration of the duration period that is longer than the shortest repair operation time of the pipe segment as the alternative construction window period for the pipe segment.

[0061] S105: Determine the target construction window period for each pipe section based on the alternative construction window periods for each pipe section.

[0062] Because different processes (UV curing, spiral winding, and local repair) have different construction speeds and require different continuous working times, it is necessary to determine the shortest working time based on the repair plan. By screening continuous periods with water levels below the safe threshold based on the tidal cycle of surrounding rivers and groundwater level changes, and retaining periods longer than the shortest working time, alternative construction windows are formed to ensure that construction can be completed completely and without interruption.

[0063] Based on the alternative construction window, the construction sequence of adjacent pipe sections needs to be matched simultaneously to ensure smooth connection of construction windows for continuous pipe sections, avoid process conflicts, and select the most stable, continuous, and easy-to-implement target construction window from the alternative windows.

[0064] For example, for a pipe section with defect classification code 35-B-3-Ⅱ, a localized resin curing repair process is matched, and resin curing parameters, repair airbag operation pressure, and pressure holding time are retrieved. Simultaneously, based on the river network condition impact level, the corresponding groundwater level safety threshold for this pipe section is determined to be 0.5m below the pipe bottom elevation. Combined with the tidal cycle and groundwater level change data of surrounding rivers, a continuous time period where the groundwater level is consistently below the groundwater level safety threshold is selected. Since the shortest operation time for the localized resin curing repair process is 4 hours, the final selected alternative construction window period that meets the time requirement is a continuous 6-hour period before and after the low tide level of the day. At the process transition point between this pipe section and adjacent pipe sections, a 300mm transition overlap section is set, with the lining material parameters consistent with the repair process parameters of this pipe section. The matched process parameters and the selected alternative construction window period are synchronously updated to the single-segment digital twin file of this pipe section, serving as the basis for subsequent core repair construction.

[0065] This application identifies a target construction window, locks in a safe, continuous, and sufficient construction window, proactively avoids the risks of high water levels, and only operates within the safe water level range, ensuring that key processes are completed continuously and in one go, making the repair construction more operable, safer, of stable quality, and more efficient.

[0066] Specifically, all preparatory work for the entire construction process can be completed before the target construction window, including: equipment debugging, prefabrication of lining materials (material type, specifications, and performance parameters are determined by matching the pipe section repair code, and the prefabrication process strictly follows the preset standards in the process parameter library), installation of temporary pipe end sealing devices (the pressure resistance level of the sealing devices matches the aforementioned groundwater level safety threshold), and pipe environment testing (testing includes: concentration of toxic and harmful gases, moisture content, and temperature; only after the test results meet the operating environment requirements in the process parameter library can construction work proceed within the target construction window). During the target construction window, the lining material is dragged into the pipe section to be repaired, and compressed air is used to ensure a tight bond between the lining material and the original pipe wall, completing the lining curing or winding process. Simultaneously, data on the lining curing progress and forming quality are collected in real time during construction, and construction operation parameters are dynamically adjusted.

[0067] In one possible implementation, the above method may further include: S106: Real-time acquisition of groundwater level and water level inside each pipe section; S107: For any pipe section, if the water level inside the pipe is greater than the water level threshold inside the pipe, or the groundwater level is greater than the groundwater level threshold, a work stoppage alarm will be issued.

[0068] During construction, the water level is monitored in real time. If the water level exceeds the threshold, an alarm is immediately issued, prompting the cessation of core solidification and grouting operations, triggering temporary pipe end sealing and constant pressure maintenance measures inside the pipe. After the water level recedes, the subsequent solidification process parameters and pressure maintenance duration are adjusted according to the duration of the construction stoppage to complete the remaining repair work. This approach adapts to the special working conditions of tidal water level fluctuations in river network areas, ensuring the stability and safety of the repair construction.

[0069] For example, groundwater levels and pipe water levels are monitored in real time using water level sensors, with a monitoring frequency of no less than once every 10 minutes. When the monitored water level exceeds the groundwater safety threshold, core solidification and grouting operations are immediately stopped, triggering temporary pipe end sealing and constant pressure maintenance measures inside the pipe to maintain stable pressure and block groundwater infiltration. After the water level recedes, the duration of subsequent solidification operations and pressure maintenance are adaptively adjusted to complete the remaining repair work. The formula for calculating the adjusted solidification operation duration is as follows: T adj (k)=T0(k)+β·Δt; Among them, T adj (k) represents the adjusted curing operation time for pipe section k, in minutes; T0(k) represents the original preset curing operation time for pipe section k, in minutes, determined by the pipe section repair code retrieved from the full-process process parameter library; Δt represents the construction operation pause time, in minutes, obtained from water level monitoring data; β represents the curing time adjustment coefficient, preset according to the repair process type and resin material characteristics, and retrieved from the process parameter library as a fixed value; k represents the pipe section number, which is completely consistent with the pipe section numbering rules in the aforementioned links and corresponds one-to-one with the on-site pile number of the pipeline network.

[0070] For example, for a pipe section with defect classification code 35-B-3-Ⅱ, the original preset curing operation time was 120 minutes. After 30 minutes of construction, the groundwater level was detected to have risen above the safety threshold. The curing operation was immediately stopped, triggering pipe end sealing and constant pressure maintenance measures within the pipe. The operation was paused for 90 minutes. After the water level returned to within the safety threshold range, the adjusted curing time was calculated to be 192 minutes using the above formula and the adjustment coefficient of 0.8 corresponding to the pipe section's process. The remaining curing operation was then completed according to the adjusted parameters.

[0071] After the work is completed, an initial visual inspection is performed using an endoscope to confirm that the repair layer is complete, tightly adhered, and free of visual defects. An initial inspection pass mark is then generated. Simultaneously, all construction process data and initial inspection data are entered into the single-pipe section digital twin file for the pipe section, and the process proceeds to the subsequent quality acceptance stage.

[0072] After the repair plan is completed, an initial visual inspection is conducted (including: integrity of the inner lining layer, surface flatness, and sealing of joint overlaps, confirming no damage, wrinkles, bubbles, etc.). Once no visual defects are confirmed, the acceptance phase begins. The acceptance process specifically includes: 1. Based on the defect classification code corresponding to the pipe section, for pipe sections with a defect level of not less than level 3 or a river network condition impact level of not less than level 2, the acceptance threshold will be increased by 15% to 30% on the basis of the current industry standard; 2. Complete the integrity test of the lining, the anti-leakage performance test of the pipeline, and the bond strength test between the lining and the original pipeline.

[0073] 3. Pipe sections that meet all test indicators are deemed to have passed acceptance. The acceptance data is then simultaneously entered into the corresponding pipe section's defect classification code and single pipe section digital twin file to establish a full life cycle repair file.

[0074] Dynamically adjusting acceptance thresholds based on defect classification codes can improve the accuracy of acceptance. Specifically, for pipe sections with a defect severity level of 5 or a river network condition impact level of 3, the acceptance threshold increase is capped at 30%; for pipe sections with a defect severity level of 3-4 or a river network condition impact level of 2, the acceptance threshold increase is 15% to 25%. Otherwise, the industry standard acceptance threshold is applied. For example, for a pipe section with defect classification code 35-B-3-Ⅱ, a defect severity level of 3, and a river network condition impact level of 2, the acceptance threshold for this pipe section is increased by 20% based on the current industry standard.

[0075] The lining integrity inspection specifically involves using high-definition endoscopic inspection equipment to scan the entire lining layer of the repaired pipe section to detect whether there are defects such as damage, wrinkles, bubbles, or delamination in the lining layer, and recording the location and size of the defects.

[0076] The pipeline anti-leakage performance test is specifically conducted by using a water tightness test method, setting the test pressure and pressure holding time according to the graded acceptance threshold, detecting whether there are any leaks in the pipeline, and recording the pressure change value during the pressure holding process.

[0077] The bonding strength test between the lining and the original pipeline is specifically conducted by using ultrasonic non-destructive testing to quantify the bonding density between the lining layer and the inner wall of the original pipeline, ensuring that the bonding performance meets the acceptance threshold requirements.

[0078] For the pipe sections that meet the corresponding acceptance thresholds in the above three tests, they are judged as qualified for acceptance; for the pipe sections with unqualified test indicators, the repair plan is repeatedly retrieved according to the defect classification code, and after the repair is completed, the full-dimensional quality inspection is carried out again. For the pipe sections that pass the acceptance, the acceptance qualified data is synchronously entered into the digital twin file of the single pipe section corresponding to the pipe section, and at the same time, a full-life cycle repair file of the pipe section is established. The file contains all-dimensional information such as the basic attributes of the pipe section, defect information, repair process parameters, construction process data, acceptance test data, etc., to realize the traceable management of the full process of pipe section repair.

[0079] Further, the above method may further include: 1. If the influence level of the river network working condition is not less than level 2, install Internet of Things seepage and pressure sensors at the interface between the inner lining layer and the pipeline, and connect them to the intelligent operation and maintenance platform of the pipe network.

[0080] The layout spacing of the sensors matches the length of the pipe section, and is densely arranged at the pipeline interface. All sensors are connected to the intelligent operation and maintenance platform of the pipe network to realize the real-time collection and transmission of pipeline operation status data.

[0081] 2. Set the monitoring and early warning threshold according to the defect classification code corresponding to the pipe section and the updated digital twin file of the single pipe section after passing the acceptance. When the monitoring data exceeds the early warning threshold, the risk warning is automatically triggered and the defect location and risk level are pushed; The monitoring and early warning threshold is related to the acceptance threshold and the influence level of the river network working condition. The higher the influence level of the river network working condition, the stricter the control of the early warning threshold. When it is monitored that the data detected by the sensor exceeds the early warning threshold, the risk warning is automatically triggered, and the defect location and risk level information are pushed synchronously, providing data support for the operation and maintenance disposal of the pipe network.

[0082] 3. Regularly collect monitoring data and update the digital twin file of the single pipe section, and continuously optimize the process parameter library. The optimized process parameter library is used to guide the repair operations of subsequent pipe sections of the same type.

[0083] The optimization calculation formula of the process parameter library is as follows:

[0084] Where, is the weight coefficient of the th type of optimized process parameter, used to update the corresponding parameter in the process parameter library; is the original weight coefficient of the th type of process parameter before optimization, from the preset value of the process parameter library; is the parameter optimization learning rate, a fixed value preset based on engineering practice experience; is the total number of pipe section samples with the same type of repair code; is the The parameter adaptation deviation value of a pipe section of the same type is calculated by comparing the acceptance data, monitoring data and preset parameters of the pipe section. This is a process parameter type number, corresponding to the process parameters in each stage: pretreatment, main repair, acceptance, and monitoring.

[0085] The optimized weighting coefficients output by the formula will be updated synchronously to the process parameter library. The optimized process parameter library will be used to guide the repair work of subsequent pipe sections of the same type, so as to realize the continuous iteration and precise adaptation of the repair process.

[0086] This application achieves comprehensive quality control of repair through graded acceptance linked to defect classification coding, and iteratively optimizes the process parameter library by combining dynamic monitoring data of high-risk pipe sections throughout the entire life cycle, forming a complete closed loop for the implementation of repair technology and the ability to continuously optimize it.

[0087] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0088] The following are device embodiments of the present invention. For details not described in detail, please refer to the corresponding method embodiments described above.

[0089] Figure 2 A schematic diagram of the control device for pipeline repair scheme provided in an embodiment of the present invention is shown. For ease of explanation, only the parts related to the embodiment of the present invention are shown, and are described in detail below: like Figure 2 As shown, the pipeline repair scheme control device includes: The data acquisition module 21 is used to acquire multi-source heterogeneous data of the pipeline network, and construct a digital twin archive of a single pipe section based on the multi-source heterogeneous data and using a single pipe section as an independent twin object. The coding module 22 is used to generate defect classification codes for each pipe section based on the digital twin files of each pipe section. The solution output module 23 is used to obtain the corresponding repair solution for each pipe section based on the defect classification code of each pipe section.

[0090] In one possible implementation, the digital twin archive may include: pipe joint defect data, groundwater level change data, soft soil foundation settlement risk, and tidal cycles of surrounding rivers; the encoding module 22 may include: The coding determination unit is used to determine the defect type and severity level of any given pipe segment based on the corresponding pipe segment defect data; determine a first identifier value based on the defect type and a second identifier value based on the severity level; determine the river network condition impact level of the pipe segment based on the corresponding groundwater level change data, soft soil foundation settlement risk, and tidal cycle of surrounding rivers; and determine a third identifier value based on the river network condition impact level; and form a defect classification code for the pipe segment based on the first, second, and third identifier values.

[0091] In one possible implementation, the defect type may include: structural damage, interface leakage, pipe deformation, and internal scaling; the coding determination unit may include: The first identifier value determines the sub-unit, which is used to look up and match the defect type in a table to obtain the corresponding first identifier value; wherein, each defect type corresponds to a different first identifier value; The second identifier value determines the sub-unit and is used to look up and match the corresponding second identifier value according to the defect severity level.

[0092] In one possible implementation, the repair scheme may include: a preprocessing scheme and a main repair scheme; the scheme output module 23 may include: The single pipe section scheme determination unit is used to: for any given pipe section, obtain the pre-processing scheme corresponding to the pipe section based on the defect classification code of the pipe section; and obtain the main repair scheme corresponding to the pipe section based on the defect classification code of the pipe section.

[0093] In one possible implementation, defect types include: structural damage, interface leakage, pipe deformation, and internal scaling; the single-pipe-section scheme determination unit can be specifically used for: 1. Determine the defect type, defect severity level, and river network condition impact level of the pipe section based on its defect classification code; 2. If the defect type of the pipe section is structural damage, the defect degree of the pipe section is not less than level 4, and the impact level of the river network working condition of the pipe section is not less than level 2, then the main repair scheme corresponding to the pipe section is a combination process of UV curing integral lining plus local grouting reinforcement at the interface. 3. If the defect type of the pipe section is structural damage and the defect level of the pipe section is no greater than level 3, then the main repair solution corresponding to the pipe section is mechanical spiral winding lining repair process. 4. If the defect type of the pipe section is interface leakage, the main repair solution for the pipe section is local resin curing repair process or stainless steel double expansion ring repair process.

[0094] In one possible implementation, the single-pipe segment determination unit can also be specifically used for: 5. If the defect type of the pipe section is interface leakage and the defect level of the pipe section is not less than level 3, then the pretreatment plan corresponding to the pipe section is: to perform the grouting and leak sealing process, the pipe dredging process and the deformation correction process in sequence. 6. If the defect type of the pipe section is pipe deformation and the defect level of the pipe section is not less than level 3, then the pretreatment plan corresponding to the pipe section is: to perform the graded hydraulic pipe expansion and correction process in sequence, and the internal wall cleaning and leakage point verification grouting process in sequence. 7. Otherwise, the pretreatment plan for the pipe section is as follows: perform the pipe dredging process, the grouting and leak sealing process, and the deformation correction process in sequence.

[0095] In one possible implementation, the digital twin archive includes: data on the tidal cycle of the surrounding river channel and changes in groundwater level; the aforementioned device may further include: The initial construction window module is used to determine the shortest repair time for any given pipe segment based on the corresponding repair plan; determine the river network condition impact level of the pipe segment based on its defect classification code; determine the corresponding groundwater level safety threshold based on the river network condition impact level; determine multiple durations where the groundwater level is lower than the corresponding groundwater level safety threshold based on the tidal cycle and groundwater level change data of the surrounding rivers; and select the duration of the duration period that is longer than the shortest repair time for the pipe segment as the alternative construction window period for the pipe segment. The construction window output module is used to determine the target construction window period for each pipe section based on the alternative construction window periods for each pipe section.

[0096] In one possible implementation, the above-described apparatus may further include: The water level monitoring module is used to obtain the groundwater level and the water level inside each pipe section in real time; The alarm module is used to issue a work stoppage alarm for any pipe section if the water level inside the pipe is greater than the water level threshold or the groundwater level is greater than the groundwater level threshold.

[0097] Figure 3 This is a schematic diagram of an electronic device provided in an embodiment of the present invention. For example... Figure 3 As shown, the electronic device 3 of this embodiment includes a processor 30 and a memory 31. The memory 31 stores a computer program 32. When the processor 30 executes the computer program 32, it implements the steps in the various method embodiments described above. Alternatively, when the processor 30 executes the computer program 32, it implements the functions of each module / unit in the various device embodiments described above.

[0098] For example, computer program 32 may be divided into one or more modules / units, which are stored in memory 31 and executed by processor 30 to complete the present invention. The one or more modules / units may be a series of computer program instruction segments capable of performing a specific function, which describe the execution process of computer program 32 in electronic device 3.

[0099] Electronic device 3 may include, but is not limited to, processor 30 and memory 31. Those skilled in the art will understand that... Figure 3 This is merely an example of electronic device 3 and does not constitute a limitation on electronic device 3. It may include more or fewer components than shown, or combine certain components, or different components. For example, electronic device 3 may also include input / output devices, network access devices, buses, etc.

[0100] The processor 30 can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor.

[0101] The memory 31 can be an internal storage unit of the electronic device 3, such as a hard disk or memory of the electronic device 3. The memory 31 can also be an external storage device of the electronic device 3, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc., equipped on the electronic device 3. Furthermore, the memory 31 can include both internal and external storage units of the electronic device 3. The memory 31 is used to store the computer program 32 and other programs and data required by the electronic device 3. The memory 31 can also be used to temporarily store data that has been output or will be output.

[0102] For the sake of simplicity and clarity, only the above-described functional modules / units are used as examples. In practical applications, the functions described above can be assigned to different functional modules / units as needed. These modules / units can be implemented in hardware, software, or a combination of both.

[0103] This invention also provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, it implements the methods described in the above-described method embodiments.

[0104] This invention also provides a computer program product, including a computer program. When the computer program is executed by a processor, it implements the methods described in the above-described method embodiments.

[0105] Computer programs include computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. Computer-readable media can include: any entity or device capable of carrying computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc.

[0106] In the above embodiments, the descriptions of each embodiment have their own emphasis. Parts not detailed or described in a particular embodiment can be referred to in the relevant descriptions of other embodiments. Unless otherwise specified or in conflict with logic, the terminology and / or descriptions between different embodiments are consistent and can be referenced interchangeably. Technical features in different embodiments can be combined to form new embodiments based on their inherent logical relationships.

[0107] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included within the protection scope of the present invention.

Claims

1. A method for regulating a pipeline network repair scheme, characterized in that, include: Acquire multi-source heterogeneous data of the pipeline network, and construct a digital twin profile of a single pipe section based on the multi-source heterogeneous data and using each pipe section as an independent twin object; Based on the digital twin files of each pipe section, a defect classification code is generated for each pipe section. Based on the defect classification and coding of each pipe section, the corresponding repair plan for each pipe section is obtained.

2. The pipeline repair scheme control method according to claim 1, characterized in that, The digital twin archive includes: pipe section defect data, groundwater level change data, soft soil foundation settlement risk, and tidal cycles of surrounding rivers; the generation of defect classification codes for each pipe section based on its digital twin archive includes: For any given pipe segment, the defect type and severity level are determined based on the corresponding defect data. A first identifier value is determined based on the defect type, and a second identifier value is obtained based on the severity level. The river network condition impact level is determined based on the groundwater level change data, soft soil foundation settlement risk, and tidal cycle of the surrounding river channel. A third identifier value is determined based on the river network condition impact level. A defect classification code for the pipe segment is formed based on the first identifier value, the second identifier value, and the third identifier value.

3. The pipeline repair scheme control method according to claim 2, characterized in that, The defect types include: structural damage, interface leakage, pipe deformation, and internal scaling; determining the first identifier value based on the defect type includes: The first identifier value is obtained by looking up and matching the defect type in a table; wherein, each defect type corresponds to a different first identifier value. The process of obtaining the second identifier value based on the defect severity level includes: The corresponding second identifier value is obtained by looking up and matching the defect severity level in the table.

4. The pipeline repair scheme control method according to claim 2, characterized in that, The repair scheme includes: a pretreatment scheme and a main repair scheme; the step of obtaining the repair scheme corresponding to each pipe section based on the defect classification code of each pipe section includes: For any given pipe section, a pretreatment scheme is obtained based on the defect classification code of that pipe section; and a main repair scheme is obtained based on the defect classification code of that pipe section.

5. The pipeline repair scheme control method according to claim 4, characterized in that, The defect types include: structural damage, interface leakage, pipe deformation, and internal scaling; the method of obtaining the main repair plan corresponding to the pipe section based on the defect classification code includes: The defect type, defect severity level, and impact level of the river network conditions of the pipe section are determined based on the defect classification code of the pipe section. If the defect type of the pipe section is structural damage, the defect level of the pipe section is not less than level 4, and the impact level of the river network working condition of the pipe section is not less than level 2, then the main repair scheme corresponding to the pipe section is a combination process of UV curing integral lining plus local grouting reinforcement at the interface. If the defect type of the pipe section is structural damage and the defect level of the pipe section is no greater than level 3, then the main repair solution corresponding to the pipe section is mechanical spiral winding lining repair process. If the defect type of the pipe section is interface leakage, the corresponding main repair solution for the pipe section is either local resin curing repair process or stainless steel double expansion ring repair process.

6. The pipeline repair scheme control method according to claim 5, characterized in that, The step of obtaining the preprocessing scheme corresponding to the pipe section based on the defect classification code includes: If the defect type of the pipe section is interface leakage and the defect level of the pipe section is not less than level 3, then the corresponding pretreatment plan for the pipe section is: to perform the grouting and leak sealing process, the pipe dredging process, and the deformation correction process in sequence. If the defect type of the pipe section is pipe deformation and the defect level of the pipe section is not less than level 3, then the corresponding pretreatment plan for the pipe section is: to perform the graded hydraulic pipe expansion and correction process, the inner wall cleaning and leakage point verification grouting process in sequence. Otherwise, the pretreatment plan for this pipe section is as follows: perform the pipe dredging process, the grouting and leak sealing process, and the deformation correction process in sequence.

7. The pipeline repair scheme control method according to any one of claims 1 to 6, characterized in that, The digital twin archive includes: tidal cycle data of surrounding rivers and groundwater level changes; the method further includes: For any given pipe segment, the shortest repair operation time is determined based on the corresponding repair plan; the river network condition impact level is determined based on the defect classification code of the pipe segment, and the groundwater level safety threshold is determined based on the river network condition impact level; multiple durations where the groundwater level is lower than the groundwater level safety threshold are determined based on the tidal cycle and groundwater level change data of the surrounding river corresponding to the pipe segment; the duration of the duration among the multiple durations that is longer than the shortest repair operation time of the pipe segment is used as the alternative construction window period for the pipe segment; Based on the alternative construction windows for each pipe section, the target construction window for each pipe section is determined.

8. The pipeline repair scheme control method according to any one of claims 1 to 6, characterized in that, The method further includes: Real-time acquisition of groundwater level and water level inside each pipe section; For any pipe section, if the water level inside the pipe is greater than the water level threshold inside the pipe, or if the groundwater level is greater than the groundwater level threshold, a work stoppage alarm will be issued.

9. An electronic device, characterized in that, It includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the pipeline repair scheme control method as described in any one of claims 1 to 8.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the pipeline repair scheme control method as described in any one of claims 1 to 8.

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