A method for evaluating reliability of a communication pipeline

Abstract

The application relates to a reliability analysis and evaluation method of a communication pipeline, which comprises the following steps: setting corresponding reliability evaluation indexes according to the reliability risk sources of the communication pipeline; constructing a communication pipeline resource information dynamic database to provide real-time dynamic data for the reliability evaluation indexes; establishing a communication pipeline reliability evaluation system according to the reliability evaluation indexes, carrying out reliability evaluation index calculation based on a Bayesian network model, and constructing the Bayesian network model; quantitatively classifying the communication pipeline based on the Bayesian network model to determine the key communication pipeline; and outputting the reliability analysis and evaluation result of the communication pipeline to carry out maintenance, repair and patrol work. The reliability risk sources and evaluation indexes of the communication pipeline are determined, the reliability analysis and evaluation result is formed, the reliability risk source analysis of the communication pipeline is comprehensive and effective, the reliability evaluation indexes are scientific and reasonable, and the reliability evaluation conclusion is reliable.

Description

Technical Field

[0001] This invention relates to the fields of communication infrastructure engineering technology and management, and in particular to a method for reliability analysis and evaluation of communication pipelines. Background Technology

[0002] Communication pipelines play a vital role in ensuring efficient and secure information transmission and promoting the development of the digital economy, serving as crucial infrastructure for urban operations. my country is currently undergoing a transformation towards new urbanization, and with socio-economic development, the construction volume of communication pipelines has been continuously increasing, exceeding 60 million kilometers by 2023. However, current communication pipelines suffer from problems such as unclear facility status, weak resource information awareness, insufficient information sharing, and inadequate operation and management, leading to safety hazards and severely hindering their safe, efficient, and orderly operation. Generally speaking, communication pipelines consist of conduits, optical cables, and inspection wells.

[0003] Communication pipelines and optical cables are the direct pathways for communication transmission services. Pipelines, typically made of rigid materials such as PVC, concrete, or steel, are a major component of the communication transmission network structure. Optical cables run through these pipelines, enabling real-time transmission of user signals. In recent years, with the continuous advancement of urban renewal, municipal construction and other activities have frequently led to damage and loss of communication pipelines and optical cables, becoming a key factor restricting the safe and reliable operation of communication lines.

[0004] Communication pipeline inspection manholes, as structures facilitating the laying, maintenance, and regular inspection of communication optical cables, are crucial channels for professional technicians to understand the operational status of communication pipelines and ensure their safe and reliable operation. Simultaneously, the manhole base, cover, and other components of communication pipeline inspection manholes are located on road surfaces such as driveways and sidewalks, directly impacting the travel safety and pedestrian experience of vehicles and pedestrians participating in urban traffic. With the natural aging of existing inspection manholes and the impact of external forces such as heavy loads, the operation, maintenance, and reliability evaluation of communication pipeline inspection manholes are receiving increasing attention.

[0005] Taking into account the components of the aforementioned communication pipelines, the main sources of reliability risks that need to be considered during the service and operation of communication pipelines include the following aspects:

[0006] (1) Reliability risks of communication pipelines and optical cables, including but not limited to pipeline connectivity degradation, pipeline damage, pipeline loss, optical cable core breakage, optical cable interruption, unauthorized cable installation, etc.

[0007] (2) Risks to the reliability of communication pipeline inspection wells, including but not limited to missing, damaged, displaced, or rattling manhole covers, damage around the manhole, and lack of fall protection function in the manhole; as well as water seepage and leakage in the manhole chamber structure and structural settlement.

[0008] The reliability risks of communication pipelines can have a significant impact on the overall safe and efficient operation of communication pipelines. Currently, the main methods for reliability analysis and evaluation of communication pipelines include on-site investigation and expert system evaluation.

[0009] The on-site investigation method primarily relies on engineering maintenance personnel with experience in on-site pipeline inspection and management. Following a planned schedule and route, they inspect the appearance and function of communication pipelines (including manholes) to determine their basic reliability. Additionally, the on-site investigation method also includes engineering maintenance personnel receiving information from citizens regarding potential communication pipeline hazards, and then conducting on-site verification based on the specific circumstances reported.

[0010] Expert system evaluation is a decision-making method that primarily uses expert evaluation as its core. It is an experience-based, multi-attribute decision-making approach that relies on the opinions of multiple experts, using their professional knowledge, experience, and perspectives to determine the outcome. Typical applications include using expert consultation meetings beforehand to identify reliability risks and weak points in communication pipelines, and conducting reliability risk assessments and analyses of communication pipelines based on existing conditions after safety issues arise.

[0011] However, both the on-site investigation method and the expert system evaluation method have significant shortcomings:

[0012] Problems and shortcomings of the field investigation method:

[0013] (1) Because the structure of communication pipeline inspection wells includes both above-ground and underground parts, and the on-site inspection work of engineering maintenance personnel mainly involves visual inspection of the communication pipeline inspection wells to determine their basic safety, that is, mainly inspecting the potential safety risks of the well cover and the surrounding area, they cannot promptly observe the underground structural defects or safety hazards of the communication pipeline inspection wells during on-site investigations. This results in biased on-site investigation and analysis results, and the safety status of the communication pipeline inspection wells cannot be accurately obtained. The effective scope of their safety assessment is relatively small.

[0014] (2) The existing manual inspection of communication pipelines has inherent periodic defects, making it impossible to manage around the clock. The long inspection cycle often leads to the inability to discover and repair hidden problems in a timely manner, and the inability to discover the real-time status of underground pipelines. Untimely monitoring may further aggravate pipeline damage, affecting its service life and operational safety.

[0015] (3) Regarding safety hazard information provided by citizens participating in urban transportation, their observations generally focus on potential reliability risks related to manhole covers and their surrounding areas, resulting in a limited scope for effective analysis and evaluation. Furthermore, the reliability analyses and evaluations provided by citizens participating in urban transportation are typically of low professional quality, requiring supplementary investigations by professional engineering maintenance personnel. There is also an unavoidable possibility that citizens participating in urban transportation may be injured by communication pipeline inspection wells with reliability issues, such as tripping over, slipping on, or even falling into the well.

[0016] Problems and shortcomings of expert system evaluation method:

[0017] (1) The results of the expert system evaluation method are highly subjective and lack real-time performance. The final evaluation of the reliability status is often a simple qualitative analysis of whether it is reliable or not. Furthermore, due to the complexity of the components of the communication pipeline and the fact that it is affected by various factors during service and operation, the results of its analysis and evaluation are bound to have errors.

[0018] (2) The process of expert system evaluation is relatively complex and requires multiple rounds of feedback and communication. In addition, the effectiveness of expert system evaluation also depends on the quality and judgment of experts. If there are significant differences in opinions among experts, it may affect the accuracy of the evaluation results.

[0019] In view of this, the present invention is hereby proposed. Summary of the Invention

[0020] In view of the shortcomings of the prior art, the present invention provides a reliability analysis and evaluation method for communication pipelines. The main purpose is to solve the problems in the existing technical means for checking and analyzing the reliability of communication pipelines. The field investigation method has a small effective scope and sometimes low professionalism of the information source for analysis and evaluation. The reliability analysis and evaluation results of the expert system evaluation method are highly subjective and lack real-time performance. Moreover, the final evaluation of the reliability status is often a simple qualitative analysis of whether it is reliable or not.

[0021] The technical solution of the present invention is as follows:

[0022] This invention provides a reliability analysis and evaluation method for communication pipelines, comprising the following steps:

[0023] To address the sources of reliability risks for communication pipelines, corresponding reliability evaluation indicators are set up, and a reliability analysis and evaluation system for communication pipelines is established. The sources of reliability risks include operational reliability risks of communication pipelines and optical cables, and functional reliability risks of communication pipeline inspection wells. The reliability evaluation indicators include evaluation objectives, analysis networks, and specific evaluation indicators.

[0024] Construct a dynamic database of communication pipeline resource information to provide real-time dynamic data for reliability evaluation indicators;

[0025] Based on the reliability evaluation indicators, a reliability evaluation system for communication pipelines is established, and reliability evaluation indicators are calculated based on the Bayesian network model.

[0026] Based on the Bayesian network model, communication pipelines are quantitatively classified and hierarchically categorized to identify key communication pipelines and calculate their reliability.

[0027] Output the reliability analysis and evaluation results of communication pipelines, and carry out repair, maintenance and inspection work.

[0028] In one optional embodiment, the evaluation objective is the reliability of the communication pipeline;

[0029] The analysis network is a communication pipeline and optical cable system and a communication pipeline inspection well system based on a series-parallel system model;

[0030] The specific evaluation indicators are the evaluation indicators corresponding to the sources of operational reliability risks of communication pipelines and optical cables, and the evaluation indicators corresponding to the sources of functional reliability risks of communication pipeline inspection wells.

[0031] In an optional embodiment, constructing the dynamic database of communication pipeline resource information includes the following steps:

[0032] Establish a dynamic database of communication pipeline resource information covering "points, lines, and surfaces" to collect, store, and apply dynamic data on communication pipelines, including:

[0033] "Point" refers to monitoring equipment installed at a fixed location;

[0034] "Line" refers to a dynamic inspection path system;

[0035] "Surface" refers to the aggregation of information from public information resource platforms within the region.

[0036] In an optional embodiment, the calculation of the reliability evaluation index based on the Bayesian network model includes the following steps:

[0037] Based on the dynamic database of communication pipeline resource information, a Bayesian network model including node layer, path layer and region layer is constructed to form a network-like reliability evaluation index calculation system of point-line-surface, wherein;

[0038] The node layer includes pipes, optical cables, manhole covers, manhole bases, surrounding road surfaces, and manhole chambers;

[0039] The path layer includes a combination of communication duct and optical cable system units that constitute a complete transmission link, as well as communication duct inspection well system units;

[0040] A region layer is a collection of node layers and path layers within a region.

[0041] In an optional embodiment, the calculation of the node layer includes the following steps:

[0042] The operational reliability P1 of the communication pipeline and optical cable for a single node is calculated as follows:

[0043] (1);

[0044] The reliability P2 of the communication pipeline inspection well function for a single node is calculated as follows:

[0045] (2);

[0046] Where m represents the evaluation index corresponding to the sources of operational reliability risks in communication pipelines and optical cables, n represents the evaluation index corresponding to the sources of functional reliability risks in communication pipeline inspection wells, t represents the count variable for the evaluation index classification, and T represents the total number of categories for the evaluation index classification, i.e., m t Let n represent the t-th reliability evaluation index for communication pipelines and optical cables. t Let t represent the reliability evaluation index of the t-th communication pipeline inspection well function, where t = 1, 2, ..., T.

[0047] In an optional embodiment, the calculation of the path layer includes the following steps:

[0048] (3);

[0049] Where P (path j reliable) is the path reliability value, i is the count variable of the intersection nodes in the path, and I is the total number of nodes contained in the path.

[0050] In an optional embodiment, the calculation of the region layer includes the following steps:

[0051] Network triangulation processing;

[0052] Clique partitioning and tree generation;

[0053] Initialize the potential function parameters;

[0054] The reliability calculation for the region layer is expressed as:

[0055] (4);

[0056] Where P (region S reliability) is the value of regional reliability, j is the count variable of paths in region S, and J is the total number of paths in region S.

[0057] In an optional embodiment, the quantitative hierarchical classification of communication pipelines includes the following steps:

[0058] Based on reliability evaluation indicators, communication pipelines are prioritized and their reliability is graded and quantified.

[0059] Based on a dynamic database of communication pipeline resource information, a digital twin mapping relationship for pipelines is established to realize the spatial binding of physical entities and data flows;

[0060] Transformation and simplification of dynamic weighting model based on entropy weighting method;

[0061] The fiber optic cable nodes and inspection well nodes in the pipeline section are subject to hierarchical management and control.

[0062] In an optional embodiment, the dynamic weighting model transformation and simplification process based on the entropy weighting method includes the following steps:

[0063] (1) Standardization process, including:

[0064] (5.1);

[0065] (2) Construct model P1, including:

[0066] (5.2);

[0067] (5.3);

[0068] (5.4);

[0069] (5.5);

[0070] Where i is the count variable of the intersection nodes in the path; I is the total number of intersection nodes; t is the count variable of the evaluation index classification; T is the total number of evaluation index categories; y it W represents the value of the i-th cross node under the t-th evaluation index category. it S represents the weight of the i-th cross node under the t-th evaluation index classification; i The result of the calculation for the i-th intersection node; st represents the constraint;

[0071] (3) Model simplification processing, including:

[0072] (5.6);

[0073] (5.7);

[0074] (5.8);

[0075] (5.9);

[0076] Among them, u it u represents the weight difference of the i-th cross node under different categories; iT Let be the minimum weight of the i-th intersection node across all categories;

[0077] Based on the above simplification, model P1 is simplified to model P2, including:

[0078] (5.10);

[0079] (5.11);

[0080] (5.12);

[0081] Where, x it It is the sum of the values ​​of the i-th cross node under the categories of the 1st to tth evaluation indicators;

[0082] (4) Calculation of local averages and ranking of reliability evaluation values, including:

[0083] (5.13);

[0084] (5.14);

[0085] Arrange the cross nodes in descending order according to their reliability assessment values.

[0086] In an optional embodiment, the hierarchical management and control of the fiber optic cable nodes and inspection well nodes in the pipeline section includes the following steps:

[0087] Based on a systematic evaluation index system and priority classification principle, all fiber optic cable nodes and inspection well nodes in the pipeline section are scientifically classified and managed according to the ABC classification method, so as to optimize the system inspection and maintenance strategy.

[0088] The advantages of this invention over the prior art are:

[0089] 1. This invention proposes a reliability analysis and evaluation method for communication pipelines. It constructs a reliability analysis network based on a series-parallel system model for communication pipelines. For communication pipelines and optical cable systems, as well as communication pipeline inspection well systems, it clarifies the sources of reliability risks and evaluation indicators to be considered. Dynamic data from public platforms, inspection work orders, and sensor monitoring are used to calculate reliability evaluation indicators based on a Bayesian network model. A multi-criteria ABC classification method is employed to quantitatively and hierarchically classify the reliability of communication pipelines with different characteristics, forming a reliability analysis and evaluation result. Targeted optimization of system inspection and maintenance strategies is then implemented, achieving a closed-loop evaluation of complex systems with multiple factors and indicators. This transforms qualitative evaluation into quantitative evaluation, ensuring a comprehensive and effective analysis of the sources of reliability risks for communication pipelines, scientifically sound reliability evaluation indicators, and reliable application of reliability evaluation conclusions.

[0090] 2. This invention achieves a comprehensive and effective analysis of reliability risk sources by constructing a reliability analysis and evaluation system for communication pipelines. Based on the composition and functional characteristics of communication pipelines, a reliability analysis network for communication pipelines based on a series-parallel system model is established, including communication pipelines and optical cable systems and communication pipeline inspection well systems. It comprehensively considers the risk sources of pipelines, optical cables, manhole covers, road surfaces around manholes, and manhole chambers, and extensively covers various risks that may occur to communication pipelines during normal service and operation, and sets corresponding reliability evaluation indicators.

[0091] 3. This invention constructs a dynamic database of communication pipeline resource information, containing basic data such as the quantity and location of communication pipeline resources, as well as dynamic data provided by public platforms, inspection work orders, and sensor monitoring. It also provides real-time updated dynamic data for communication pipeline and fiber optic cable systems and communication pipeline inspection well systems within the communication pipeline reliability analysis network.

[0092] 4. Based on the reliability risks that may occur within the reliability evaluation index range of communication pipelines, this invention establishes a reliability evaluation system for communication pipelines according to the severity of their impact on reliability, and analyzes the dynamic data of the communication pipeline system to calculate the reliability evaluation index based on the Bayesian network model.

[0093] At the theoretical derivation level, a three-level progressive probabilistic model of "node-path-region" was constructed, which breaks through the limitations of single-dimensional static evaluation in traditional reliability analysis: the node layer realizes the probabilistic representation of communication pipeline risk through a multivariate risk coupling mechanism; the path layer adopts a node reliability serial model to accurately characterize the cascading failure characteristics of physical links; and the region layer is based on a parallel redundancy model to clarify the nonlinear influence of network topology on overall reliability.

[0094] At the technical implementation level, Bayesian network triangulation, clique partitioning and tree generation, and potential function parameter initialization reduce the time complexity of state deduction for large-scale networks to the polynomial order. Through reliability calculations at each level, reliability analysis shifts from passive assessment to proactive prediction, accurately locating key vulnerable nodes affecting regional reliability. This provides decision support for developing differentiated inspection strategies and dynamic resource allocation plans, offering significant guidance for the construction of new infrastructure such as digital management of urban underground pipelines.

[0095] 5. This invention quantitatively determines the reliability evaluation status of communication pipelines, enabling the application of reliability analysis and evaluation results based on actual operational conditions. A multi-criteria ABC classification method is employed to quantitatively classify fiber optic cable nodes and manhole nodes within the pipeline segment. A dynamic weighting technique based on entropy weighting avoids complex linear programming solutions, achieving real-time quantitative assessment of communication pipeline reliability. Combined with practical examples, the invention demonstrates the application of reliability analysis and evaluation results based on actual operational conditions, effectively guiding the maintenance and inspection management of communication pipelines.

[0096] It should be understood that the implementation of any embodiment of the present invention does not mean that it will simultaneously possess or achieve multiple or all of the above-mentioned beneficial effects. Attached Figure Description

[0097] To more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings in the following description are merely exemplary, and those skilled in the art can derive other embodiments based on the provided drawings without creative effort.

[0098] The structures, proportions, sizes, etc. illustrated in this specification are only for the purpose of assisting those skilled in the art in understanding and reading the content disclosed herein, and are not intended to limit the conditions under which the present invention can be implemented. Therefore, they have no substantial technical significance. Any modifications to the structure, changes in the proportions, or adjustments to the size, without affecting the effects and objectives that the present invention can produce, should still fall within the scope of the technical content disclosed in the present invention.

[0099] Figure 1 A flowchart illustrating a reliability analysis and evaluation method for communication pipelines provided in an embodiment of the present invention;

[0100] Figure 2 A schematic diagram illustrating the principle of a reliability analysis and evaluation method for communication pipelines provided in an embodiment of the present invention;

[0101] Figure 3A schematic diagram of a communication pipeline and optical cable system and a communication pipeline inspection well system provided in an embodiment of the present invention;

[0102] Figure 4 This is a schematic diagram illustrating the sources of risk in the reliability analysis and evaluation indicators provided in the embodiments of the present invention;

[0103] Figure 5 This is a schematic diagram of a pipe segment optical cable node based on the ABC classification method provided in an embodiment of the present invention.

[0104] Figure 6 A schematic diagram of a manhole node based on the ABC classification method provided in an embodiment of the present invention;

[0105] Figure 7 This is a regional communication transmission network model provided in an embodiment of the present invention;

[0106] Figure 8 The Bayesian network model formed by the transformation provided in the embodiments of the present invention;

[0107] Figure 9 This invention provides a hierarchical management system for fiber optic cable nodes and inspection well nodes based on the ABC classification method. Detailed Implementation

[0108] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the embodiments of the present invention will be further described in detail below with reference to the accompanying drawings. Here, the illustrative embodiments and descriptions of the present invention are used to explain the present invention, but are not intended to limit the present invention.

[0109] In this invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," "linking," and "fixing," etc., should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0110] It should be understood that the terms "comprising / including," "consisting of," or any other variations are intended to cover non-exclusive inclusion, such that a product, apparatus, process, or method that comprises a list of elements includes not only those elements but may also include, where necessary, other elements not expressly listed, or elements inherent to such a product, apparatus, process, or method. Without further limitation, an element defined by the phrases "comprising / including," "consisting of," does not exclude the presence of additional identical elements in the product, apparatus, process, or method that includes said element.

[0111] It should also be understood that the terms "upper", "lower", "front", "rear", "left", "right", "top", "bottom", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device, component or structure referred to must have a specific orientation, be constructed or operated in a specific orientation, and should not be construed as a limitation of the present invention.

[0112] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0113] This invention relates to a reliability analysis and evaluation method for communication pipelines. This method is mainly intended to solve the problems of limited effectiveness, unstable professionalism, poor subjectivity, and lack of real-time performance of existing technologies for checking and analyzing the reliability of communication pipelines.

[0114] The implementation of the present invention will be described in detail below with reference to preferred embodiments.

[0115] This invention provides a reliability analysis and evaluation method 100 for communication pipelines, such as... Figure 1As shown, the method includes the following steps: S101, for the sources of reliability risks of communication pipelines, set corresponding reliability evaluation indicators and establish a reliability analysis and evaluation system for communication pipelines. The sources of reliability risks are the operational reliability risks of communication pipelines and optical cables, and the functional reliability risks of communication pipeline inspection wells. The reliability evaluation indicators are the evaluation objectives, analysis networks, and specific evaluation indicators; S103, construct a dynamic database of communication pipeline resource information to provide real-time dynamic data for reliability evaluation indicators; S105, establish a reliability evaluation system for communication pipelines based on reliability evaluation indicators and calculate reliability evaluation indicators based on a Bayesian network model; S107, based on the Bayesian network model, quantitatively classify and stratify communication pipelines, identify key communication pipelines, and calculate the reliability of communication pipelines; S109, output the reliability analysis and evaluation results of communication pipelines and carry out maintenance, repair, and inspection work.

[0116] Depend on Figure 1 and combined Figure 2 The schematic diagram shown is explained in detail below:

[0117] 1. Identify the sources of reliability risks:

[0118] To conduct a reliability assessment, it is necessary to first identify the sources of risk that affect reliability. In this embodiment of the invention, the sources of reliability risk are determined to consist of two types of risk sources that affect the reliability P of the communication pipeline, including: the operational reliability risk source R1 of the communication pipeline and optical cable, and the functional reliability risk source R2 of the communication pipeline inspection well.

[0119] like Figure 4 As shown, the operational reliability risks of communication pipelines and optical cables include, but are not limited to, pipeline connectivity degradation, pipeline damage, pipeline loss, optical cable core breakage, optical cable interruption, and unauthorized cable installation caused by various reasons.

[0120] The reliability risks of communication pipeline inspection wells include, but are not limited to, the following: missing, damaged, displaced, or rattling manhole covers due to various reasons; damage around the manhole; lack of fall protection function in the manhole; as well as water seepage and leakage in the inspection well chamber structure; and structural settlement.

[0121] 2. Confirm reliability analysis and evaluation indicators:

[0122] Based on the general requirements of the reliability analysis and evaluation system, the evaluation system affecting the reliability status of communication pipelines is structured into three parts: evaluation objectives, analysis network, and specific evaluation indicators.

[0123] a. Evaluation objectives:

[0124] The evaluation objective is the reliability of the communication pipeline;

[0125] b. Analyze the network:

[0126] The analysis network is a communication pipeline reliability analysis network based on a series-parallel system model. It comprises two parts: the communication pipeline and fiber optic cable system, and the communication pipeline manhole system. By combining the various system components of the communication pipeline in series and parallel configurations, a hybrid series-parallel system model is formed. In the parallel part, multiple components perform their respective functions in parallel. Taking the manhole cover and manhole wall structure in the communication pipeline manhole system as an example, when some components fail, only the function performed by that component is affected; the system can still maintain basic operation through other normally functioning components. In the series part, taking the fiber optic cable on the same communication transmission link in the communication pipeline and fiber optic cable system as an example, the components of the fiber optic cable are connected sequentially. The failure of any one component may cause the entire series link to fail.

[0127] c. Specific evaluation indicators:

[0128] The specific evaluation indicators consist of various indicators corresponding to the sources of reliability risks in the communication pipeline, including:

[0129] The specific evaluation indicators corresponding to the reliability risk sources R1 of communication pipelines and optical cables include: pipeline connectivity r11 (including 2 items: pipeline resource occupancy rate and pipeline connectivity), pipeline structure r12 (including 2 items: pipeline settlement and pipeline damage), optical cable damage r13, unauthorized penetration of lines r14, and surrounding environment r15.

[0130] The specific evaluation indicators corresponding to the reliability risk sources R2 of communication pipeline inspection wells include: manhole cover defects r21 (including 6 items: missing, damaged, displaced, vibrating, misplaced, no fall prevention function), manhole seat defects r22 (including 3 items: subsidence, protrusion, excessive height difference), manhole perimeter defects r23 (including 1 item: road surface cracking); manhole chamber damage r24 (including 3 items: material deterioration, structural settlement, structural damage and loss), and surrounding environment conditions r25.

[0131] The specific evaluation indicators corresponding to the reliability risk sources R2 of communication pipeline inspection wells include: manhole cover defects r21, manhole seat defects r22, manhole perimeter defects r23; manhole chamber damage r24 (including 3 items: material deterioration, structural settlement, structural damage and loss); and surrounding environment conditions r25.

[0132] 3. Construct a dynamic database of communication pipeline resource information:

[0133] This database contains basic data such as the quantity and location of communication pipeline resources, as well as dynamic data provided by public platforms, inspection work orders, and sensor monitoring. It also provides real-time updated dynamic data for the communication pipeline and fiber optic cable system and the communication pipeline inspection well system in step 1b. The specific operations include the following steps:

[0134] A dynamic data collection, storage, and application system for communication pipeline resources, encompassing "points, lines, and surfaces," has been established.

[0135] a. Point:

[0136] Install monitoring equipment in fixed locations, including but not limited to manhole cover angle and vibration alarms, distributed fiber optic monitoring sensors, etc., to achieve real-time sensor monitoring of the operating status of communication pipelines, optical cables and inspection wells;

[0137] b. Line:

[0138] Construct a dynamic inspection route system for maintenance personnel. Based on maintenance inspection work orders, flexibly adjust inspection routes according to the maintenance frequency and periodic defects of communication pipelines, optical cables and inspection wells to ensure the efficiency and accuracy of data collection.

[0139] c. Face:

[0140] By organizing and summarizing construction information and other content from the regional public information resource platform, the resource value of communication pipeline information data has been enhanced from the perspective of regional coverage.

[0141] Through the coordination and cooperation of "point-line-surface" systems, the data from each group complements and reinforces each other, making the manhole cover data acquisition system more efficient and accurate. Real-time monitoring at the point level provides detailed local data, dynamic inspection path optimization at the line level ensures the systematic nature and flexibility of the inspection process, and the regional information data system at the surface level provides a comprehensive macroscopic perspective. This organic integration between the various levels effectively improves the efficiency and accuracy of the dynamic data acquisition, storage, and application system for communication pipeline resource information.

[0142] Among them, such as Figure 3 As shown, the communication pipeline and optical cable system mainly consists of pipelines and optical cables, which are connected in parallel; the communication pipeline inspection well system mainly consists of the well chamber, the surrounding road surface, and the well cover, which are also connected in parallel. Adjacent communication pipeline and optical cable systems and communication pipeline inspection well system units are connected in series. The combination of series and parallel systems forms a deconstruction of the physical communication pipeline network.

[0143] 4. Calculation of reliability analysis and evaluation indicators:

[0144] Based on the potential reliability risks within the scope of the communication pipeline reliability analysis and evaluation indicators, a communication pipeline reliability evaluation system is established according to the severity of the impact on reliability. Dynamic data of the communication pipeline system is analyzed, and reliability evaluation indicators based on a Bayesian network model are calculated. The process includes the following steps:

[0145] (1) Determine the specific evaluation criteria for the reliability of communication pipelines:

[0146] Based on the existing national and local technical and maintenance requirements for communication pipeline wells, and considering the functional and structural characteristics of communication pipelines and the specific evaluation indicators mentioned in step 1d, the specific evaluation value standards for the reliability of communication pipelines are determined, as shown in Table 1:

[0147] Table 1: Specific Evaluation Standards for Communication Pipeline Reliability

[0148]

[0149] (2) Calculation of reliability evaluation index based on Bayesian network model:

[0150] This model is a network model comprising a node layer, a path layer, and a region layer, forming a point-line-surface network-like reliability evaluation index calculation system. The node layer includes pipes, optical cables, manhole covers, manhole bases, surrounding road surfaces, and manhole chambers; the path layer includes several communication pipe and optical cable system units constituting a complete transmission link, as well as combinations of communication pipeline inspection well system units; the region layer is the collection of all paths within a region, i.e., the regional communication transmission network. The calculation methods for the node layer, path layer, and region layer include the following steps:

[0151] a. Node layer:

[0152] Based on Table 1, the reliability influencing factors of the node layer are determined as follows:

[0153] The reliability factors affecting the operational reliability P1 of communication pipelines and optical cables include: pipeline resource occupancy rate m1, pipeline connectivity m2, pipeline settlement m3, pipeline damage m4, optical cable damage m5, unauthorized penetration of lines m6, and surrounding environmental conditions m7.

[0154] The reliability factors affecting the functional reliability P2 of communication pipeline inspection wells include: the condition of the manhole cover (n1), the condition of the manhole seat (n2), the condition of the manhole perimeter (n3), the condition of the manhole chamber material deterioration (n4), the condition of the manhole chamber structure settlement (n5), the condition of the manhole chamber structure damage (n6), and the condition of the surrounding environment (n7).

[0155] The operational reliability P1 of the communication pipeline and optical cable for a single node is calculated as follows:

[0156] (1);

[0157] The reliability P2 of the communication pipeline inspection well function for a single node is calculated as follows:

[0158] (2);

[0159] Where m represents the evaluation index corresponding to the sources of operational reliability risks in communication pipelines and optical cables, n represents the evaluation index corresponding to the sources of functional reliability risks in communication pipeline inspection wells, t represents the count variable for the evaluation index classification, and T represents the total number of categories for the evaluation index classification, i.e., m t Let t represent the reliability evaluation index for the operation of communication pipelines and optical cables, where t = 1, 2, ..., 7, n. t Let t represent the reliability evaluation index of the communication pipeline inspection well function, where t = 1, 2, ..., 7.

[0160] This refers to the functional reliability sub-item Pi (i=1, 2) of a single node, corresponding to the cascade model of reliability analysis. The maximum score for the reliability evaluation value of the communication pipeline is 1.0 point. When the score of a certain evaluation index sub-item decreases, it will affect the overall score and reduce the functional reliability of the individual node. For example, when the pipeline is completely blocked, interrupted, or lost, the reliability evaluation value of that sub-item is 0, and the operational reliability P1 score of the communication pipeline and optical cable of that node is 0.

[0161] b. Path layer:

[0162] The reliability of the path layer is determined by the cascading reliability P of the communication pipelines that make up the path. To ensure the quantified and graded reliability of its relative value, it is calculated as follows:

[0163] (3);

[0164] Where P (path j reliable) is the path reliability value, i is the count variable of the intersection nodes in the path, and I is the total number of nodes contained in the path.

[0165] For example: Path RT consists of node A (reliability 0.9), node B (reliability 1.0), and node C (reliability 0.8), where n is 3, P (node ​​A is reliable) is 0.9, P (node ​​B is reliable) is 1.0, and P (node ​​C is reliable) is 0.8. The reliability of path RT is:

[0166] .

[0167] c. Region layer:

[0168] The reliability of the regional layer is determined by the parallel reliability P of the existing paths connecting each node within the region.

[0169] For complex nodes with multi-directional connections, and the paths containing such nodes, the following transformation process is required:

[0170] (1) Network triangulation: For circular dependency structures (such as the V-shaped structure formed by node A → common connected node O ← node B), add auxiliary edges (node ​​A - node B) and connect the common parent node of node A and node B (such as common connected node O) through undirected edges to form a locally fully connected structure (AOBA) containing (common connected node O, node A, node B) to eliminate loops with excessive length and eliminate the directionality of Bayesian networks;

[0171] (2) Clique partitioning and tree generation: Identify the largest fully connected subgraph as a clique. For example, (common connected node O, node A, node B) and (road segment A, node A) constitute two cliques respectively, and form a tree by connecting them through the separating node A;

[0172] (3) Initialization of potential function parameters: Map the reliability P of the original Bayesian network (commonly connected nodes O, A, and B) to the potential function of the corresponding clique node.

[0173] After the transformation process is completed, the reliability of the regional layer is calculated as follows:

[0174] (4);

[0175] Where P (region S reliability) is the reliability value of the region, j is the count variable of paths in region S, and J is the total number of paths in region S (for example, if region S has 2 paths, then J=2). It is easy to understand that the reliability of a certain path is determined by the nodes; similarly, the reliability of a certain region is determined by the paths.

[0176] For example: Region S consists of path A (reliability 0.8) and path B (reliability 0.5), then the reliability of region S is:

[0177] P(area S is reliable) = 1 - [1 - P(path A is reliable)] × [1 - P(path B is reliable)] = 1 - (1 - 0.8) × (1 - 0.5) = 0.9;

[0178] Of course, in extreme cases, there may be only one communication channel (path) in a certain area, providing information transmission services to the surrounding areas. Therefore, if the reliability of this path is low, it will have a significant impact on the area. Thus, key inspections should be scheduled in practical work to minimize the occurrence of failures.

[0179] Based on the reliability evaluation index calculation results of the Bayesian network model mentioned above, the reliability P of the communication pipeline, the impact of the evaluation index on the reliability of the communication pipeline, and the reliability level of the communication pipeline are quantitatively graded and matched, as shown in Table 2.

[0180] Table 2: Quantitative Classification of Communication Pipeline Reliability

[0181]

[0182] The reliability evaluation value P of the communication pipeline is divided into intervals: reliability level I, II, III, IV, V, corresponding to reliability evaluation values ​​P=0.8-1.0, 0.6-0.8, 0.4-0.6, 0.2-0.4, 0-0.2 respectively.

[0183] 5. Quantitative stratified classification:

[0184] Based on the network model calculated from the node layer, path layer, and region layer in step 3, the reliability of the communication pipeline is determined using a multi-criteria ABC classification method to quantitatively classify the fiber optic cable nodes and manhole nodes in the pipeline section into different layers. This process identifies key fiber optic cable nodes and key manhole nodes that require enhanced management, and includes the following steps:

[0185] a. Ranking of multi-criteria evaluation indicators:

[0186] Based on the reliability evaluation index established in step 1, further screen dynamic evaluation dimensions, prioritize the criteria for evaluating the reliability of communication pipelines according to their importance, and classify and quantify the reliability of communication pipelines to determine the proportion of each of the A, B, and C categories in the total number, which can be dynamically adjusted.

[0187] b. Multi-source data processing:

[0188] Based on the dynamic database of communication pipeline resource information established in step 2, multi-source data information such as smart manhole cover sensor data, distributed optical fiber monitoring system, operation and maintenance work order system and GIS geographic information are integrated to establish a digital twin mapping relationship of pipelines, realize the spatial binding of physical entities and data flow, and provide data support for subsequent evaluation applications based on the reliability of communication pipelines.

[0189] c. Dynamic weighting model transformation and simplification based on entropy weighting method:

[0190] For complex evaluation scenarios involving communication pipelines with multiple intersection nodes, a standardized processing method based on a multi-criteria system is proposed. The specific standardization process is as follows:

[0191] (1) Standardization process:

[0192] Assuming a communication pipeline with I intersection nodes is taken as the research object, a classification system containing T types of evaluation indicators is constructed to perform multi-dimensional evaluation of each intersection node. Define y it Let the value of the i-th cross node be the value under the t-th evaluation index, and then standardize it using the formula:

[0193] (5.1);

[0194] The categories for each pipe segment and node have been sorted in descending order, W it Let W be the weight of the i-th cross node under the t-th evaluation index classification. i1 ≥W i2 ≥···≥W it S i The result of the calculation for the i-th cross node represents the weighted sum of the weights of the i-th cross node under multiple categories.

[0195] (2) Construct model P1, including:

[0196] The weighted linear programming model P1 for intersection i is:

[0197] (5.2);

[0198] (5.3);

[0199] st represents a constraint or limitation condition, that is, for a certain node, the sum of the weights of its various categories is 1.

[0200] (5.4);

[0201] (5.5);

[0202] (5.3), (5.4) and (5.5) are constraints, where (5.4) ensures that the classification criteria are arranged in descending order; under constraints (5.3) and (5.5), the values ​​of the model obtained are within the range of 0-1 and the sum of all weights is 1.

[0203] (3) Model simplification:

[0204] To address the issue that solving a series of linear programming problems leads to a significant imbalance between computational resource consumption and expected benefits when there are too many fiber optic cable nodes and manhole nodes in a communication pipeline network, this embodiment also constructs a model simplification method to significantly improve solution efficiency. The simplified processing steps are as follows:

[0205] (5.6);

[0206] (5.7);

[0207] (5.8);

[0208] (5.9);

[0209] Among them, uit u represents the weight difference of the i-th cross node under different categories; iT Let be the minimum weight of the i-th cross node across all categories; I is the total number of cross nodes; T is the total number of categories for the evaluation index.

[0210] Based on the above simplification, model P1 can be simplified to model P2:

[0211] (5.10);

[0212] (5.11);

[0213] (5.12);

[0214] Where, x it It is the sum of the values ​​of the i-th cross node under the categories of the 1st to tth evaluation indicators;

[0215] The simplified model P2 has a unique equality constraint, and the non-negative optimal solution has a unique characteristic. According to formula (5.8), the unique non-negative solution can be determined.

[0216] (4) Calculation of local average and ranking of reliability evaluation values:

[0217] Under the t-th category, calculate the value y of the i-th intersection node. it Then, the local average of each cross node under each classification index is calculated, i.e.:

[0218] (5.13);

[0219] Compare the t local means of this intersection node, and select the largest local mean, i.e., select the maximum value among them as the reliability evaluation value P. i ,Right now:

[0220] (5.14);

[0221] S i The result of the calculation for the i-th intersection node is used, and then the maximum value is selected according to this formula. This value is then used as the reliability evaluation value P. i .

[0222] Each cross node is determined according to the reliability assessment value P. i Sort in descending order.

[0223] d. Implement hierarchical management and control of fiber optic cable nodes and inspection well nodes in pipeline sections based on the ABC classification method:

[0224] Based on a systematic evaluation index system and priority classification principles, all pipeline fiber optic cable nodes and inspection well nodes are scientifically classified and managed according to the ABC classification method, thereby optimizing system inspection and maintenance strategies. Specifically, pipeline inspection levels are divided into:

[0225] Category A: These comprise approximately 10%-15% of all nodes. Reliability evaluations indicate that their reliability is significantly low, requiring timely repairs and differentiated maintenance and inspection strategies, such as routine monitoring by personnel and sensors, to ensure the normal operation of the communication pipeline.

[0226] Category B: accounting for approximately 20%-30% of all nodes, their reliability is relatively low according to reliability evaluation, requiring additional technical and equipment supplementation, such as the installation of vibration and displacement sensors, to enhance monitoring and protection effects.

[0227] Category C: accounting for approximately 55%-70% of all nodes, their reliability is relatively high according to reliability evaluation. The node status can be periodically updated based on manual inspection and mobile data acquisition equipment using basic digital means.

[0228] Taking a rectangular grid-like communication transmission network as an example, the schematic diagram of the fiber optic cable node and inspection well node based on the ABC classification method is as follows: Figure 5 , 6 As shown, calculations show that, while ensuring monitoring coverage, the system reduces daily maintenance costs by 63% compared to traditional methods, decreases duplicate detection rate by 42%, and reduces missed detection rate to below 1%. Combined with the intelligent dispatch platform, it achieves a risk prediction accuracy rate of 98%, promoting the transformation of infrastructure management towards proactive prevention and providing a new paradigm for the construction of smart city resilience.

[0229] 6. Reliability analysis and evaluation results of the output communication pipeline:

[0230] Summarize the reliability analysis and evaluation results of the communication pipeline, as well as the optimized system inspection and maintenance strategy:

[0231] a. Update the relevant data of communication pipeline and optical cable system and communication pipeline inspection well system in the dynamic database of communication pipeline resource information in step 2 to provide the latest real-time dynamic data for subsequent reliability analysis of communication pipelines;

[0232] b. Complete the reliability analysis and evaluation of this communication pipeline, and carry out actual repair, maintenance and inspection work based on the reliability analysis and evaluation results for on-site implementation.

[0233] To further enhance the understanding of the present invention, the following specific operation steps are provided in conjunction with specific embodiments:

[0234] Taking the communication transmission network as an example, this communication transmission network includes 19 communication pipeline and optical cable nodes, and 16 communication pipeline inspection well nodes, forming a network as follows: Figure 7 The regional communication transmission network model shown is used to calculate the operational reliability of communication pipelines and optical cables of a single node and the functional reliability of communication pipeline inspection wells of a single node, based on the communication transmission network and its surrounding conditions and the communication pipeline reliability evaluation values ​​in Table 1, using formulas (1) and (2), respectively. The calculation results are shown in Tables 3 and 4.

[0235] Table 3: Reliability Evaluation Values ​​of Communication Pipelines and Optical Cable Nodes

[0236]

[0237] Table 4: Reliability Evaluation Values ​​of Communication Pipeline Inspection Well Nodes

[0238]

[0239] Based on the above node layer calculation results, taking path RT1: 1-2-6-10-9 as an example, substituting the node reliability obtained from Tables 1 and 2 into Formula 3, the reliability of path RT1 is:

[0240] ;

[0241] Note: The values ​​here are 1, 1-2, 2, 2-6, 6, 6-10, 10, 9-10, 9, so the node is 9.

[0242] Based on the quantitative classification of communication pipeline reliability in Table 2, the reliability level of the communication pipeline corresponding to path RT1 is Level II, and the path condition has a slight impact on the reliability of the communication pipeline.

[0243] Considering the complex nodes with multi-directional connections, the resulting Bayesian network model is as follows: Figure 8 As shown.

[0244] Based on grid triangulation, data with significantly low node reliability are recalculated, i.e., new network paths are found based on tree topology. For example, the pipe and fiber optic cable nodes 3-4 can be connected through 3-7-8-4. Substituting this into Formula 3, the reliability evaluation value of the communication pipeline corresponding to the new network path is 0.68, and the reliability level is II.

[0245] The reliability of the region layer can be expressed as:

[0246] ;

[0247] By incorporating the updated node and path reliability data, we can determine that region S includes all 19 communication pipeline and fiber optic cable nodes and 16 communication pipeline inspection well nodes. The reliability evaluation value of region S is P=0.94, and the corresponding regional layer communication pipeline reliability level is Level I. The regional conditions have no or slight impact on the reliability of the communication pipeline.

[0248] Furthermore, a tiered management system is implemented for fiber optic cable nodes and manhole nodes within the pipeline section based on the ABC classification method. For complex evaluation scenarios involving communication pipelines with multiple intersection nodes, standardized processing based on a multi-criteria system is carried out.

[0249] Taking cross node 10 as an example, if the weights of pipeline optical cable nodes 6-10 (node ​​reliability value is 0.42) and 10-14 (node ​​reliability value is 0.84) are 0.20 and 0.20 respectively; the weights of pipeline optical cable nodes 9-10 (node ​​reliability value is 0.92) and 10-11 (node ​​reliability value is 0.39) are 0.15 and 0.15 respectively; and the weight of inspection well node 10 (node ​​reliability value is 0.56) is 0.30, and using the current classification and evaluation criteria, the data is substituted into formula (5.2), then the reliability evaluation value P of cross node 10 is 0.61.

[0250] Based on the ABC classification method, all fiber optic cable nodes and manhole nodes in the pipeline section are subject to hierarchical management and control. Specific hierarchical management details are as follows: Figure 9 As shown.

[0251] Category A (Red): 2 fiber optic cable nodes and 2 inspection well nodes in the pipeline section;

[0252] Category B (Orange): 5 fiber optic cable nodes in the pipeline section and 4 inspection well nodes;

[0253] Category C (Green): 12 fiber optic cable nodes in the pipeline section and 10 inspection well nodes.

[0254] Based on the above calculations and visualization results, the relevant data of communication pipelines, optical cable systems, and communication pipeline inspection well systems in the dynamic database of communication pipeline resource information are updated to provide the latest real-time dynamic data for subsequent reliability analysis of communication pipelines. This communication pipeline reliability analysis and evaluation is completed, and based on the results of the reliability analysis and evaluation, actual repair, maintenance, and inspection work are carried out in the field.

[0255] The various embodiments of the present invention have been described above. These descriptions are exemplary and not exhaustive, nor are they limited to the disclosed embodiments. Many modifications and variations will be apparent to those skilled in the art without departing from the scope and spirit of the described embodiments.

Claims

1. A reliability analysis and evaluation method for communication pipelines, characterized in that, Includes the following steps: To address the sources of reliability risks for communication pipelines, corresponding reliability evaluation indicators are set up, and a reliability analysis and evaluation system for communication pipelines is established. The sources of reliability risks include operational reliability risks of communication pipelines and optical cables, and functional reliability risks of communication pipeline inspection wells. The reliability evaluation indicators include evaluation objectives, analysis networks, and specific evaluation indicators. Construct a dynamic database of communication pipeline resource information to provide real-time dynamic data for reliability evaluation indicators; Based on the reliability evaluation indicators, a reliability evaluation system for communication pipelines is established, and reliability evaluation indicators are calculated based on the Bayesian network model. Based on the Bayesian network model, communication pipelines are quantitatively classified and hierarchically categorized to identify key communication pipelines and calculate their reliability. Output the reliability analysis and evaluation results of the communication pipeline, and carry out repair, maintenance, and inspection work; among which The construction of the dynamic database of communication pipeline resource information includes the following steps: Establish a dynamic database of communication pipeline resource information covering "points, lines, and surfaces" to collect, store, and apply dynamic data on communication pipelines, including: "Point" refers to monitoring equipment installed at a fixed location; "Line" refers to a dynamic inspection path system; "Surface" refers to the aggregation of information from public information resource platforms within the region; and The quantitative hierarchical classification of communication pipelines includes the following steps: Based on reliability evaluation indicators, communication pipelines are prioritized and their reliability is graded and quantified. Based on a dynamic database of communication pipeline resource information, a digital twin mapping relationship for pipelines is established to realize the spatial binding of physical entities and data flows; Transformation and simplification of dynamic weighting model based on entropy weighting method; Hierarchical management and control shall be implemented for fiber optic cable nodes and inspection well nodes in the pipeline section; and The dynamic weighting model transformation and simplification process based on the entropy weight method includes the following steps: (1) Standardization process, including: （5.1）； (2) Construct model P1, including: （5.2）； （5.3）； （5.4）； （5.5）； Where i is the count variable of the intersection nodes in the path; I is the total number of intersection nodes; t is the count variable of the evaluation index classification; T is the total number of evaluation index categories; y it W represents the value of the i-th cross node under the t-th evaluation index category. it S represents the weight of the i-th cross node under the t-th evaluation index classification; i The result of the calculation for the i-th intersection node; st represents the constraint; (3) Model simplification processing, including: （5.6）； （5.7）； （5.8）； （5.9）； Among them, u it u represents the weight difference of the i-th cross node under different categories; iT Let be the minimum weight of the i-th intersection node across all categories; Based on the above simplification, model P1 is simplified to model P2, including: （5.10）； （5.11）； （5.12）； Where, x it It is the sum of the values ​​of the i-th cross node under the categories of the 1st to tth evaluation indicators; (4) Calculation of local averages and ranking of reliability evaluation values, including: （5.13）； （5.14）； Arrange the cross nodes in descending order according to their reliability assessment values.

2. The reliability analysis and evaluation method according to claim 1, characterized in that, The evaluation objective is the reliability of the communication pipeline; The analysis network is a communication pipeline and optical cable system and a communication pipeline inspection well system based on a series-parallel system model; The specific evaluation indicators are the evaluation indicators corresponding to the sources of operational reliability risks of communication pipelines and optical cables, and the evaluation indicators corresponding to the sources of functional reliability risks of communication pipeline inspection wells.

3. The reliability analysis and evaluation method according to claim 1, characterized in that, The calculation of reliability evaluation indicators based on the Bayesian network model includes the following steps: Based on the dynamic database of communication pipeline resource information, a Bayesian network model including node layer, path layer and region layer is constructed to form a network-like reliability evaluation index calculation system of point-line-surface, wherein; The node layer includes pipes, optical cables, manhole covers, manhole bases, surrounding road surfaces, and manhole chambers; The path layer includes a combination of communication duct and optical cable system units that constitute a complete transmission link, as well as communication duct inspection well system units; A region layer is a collection of node layers and path layers within a region.

4. The reliability analysis and evaluation method according to claim 3, characterized in that, The calculation of the node layer includes the following steps: The operational reliability P1 of the communication pipeline and optical cable for a single node is calculated as follows: （1）； The reliability P2 of the communication pipeline inspection well function for a single node is calculated as follows: （2）； Where m represents the evaluation index corresponding to the sources of operational reliability risks in communication pipelines and optical cables, n represents the evaluation index corresponding to the sources of functional reliability risks in communication pipeline inspection wells, t represents the count variable for the evaluation index classification, and T represents the total number of categories for the evaluation index classification, i.e., m t Let n represent the t-th reliability evaluation index for communication pipelines and optical cables. t Let t represent the reliability evaluation index of the communication pipeline inspection well function, where t = 1, 2, ..., T.

5. The reliability analysis and evaluation method according to claim 3, characterized in that, The calculation of the path layer includes the following steps: （3）； Where P (path j reliable) is the path reliability value, i is the count variable of the intersection nodes in the path, and I is the total number of nodes contained in the path.

6. The reliability analysis and evaluation method according to claim 3, characterized in that, The calculation of the region layer includes the following steps: Network triangulation processing; Clique partitioning and tree generation; Initialize the potential function parameters; The reliability calculation for the region layer is expressed as: （4）； Where P (region S reliability) is the value of regional reliability, j is the count variable of paths in region S, and J is the total number of paths in region S.

7. The reliability analysis and evaluation method according to claim 1, characterized in that, The hierarchical management and control of optical cable nodes and inspection well nodes in the pipeline section includes the following steps: Based on a systematic evaluation index system and priority classification principle, all fiber optic cable nodes and inspection well nodes in the pipeline section are scientifically classified and managed according to the ABC classification method, so as to optimize the system inspection and maintenance strategy.

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