Traffic protection facility maintenance plan optimization method, equipment, medium and product

Abstract

The invention provides a traffic protection facility maintenance plan optimization method and device, a medium and a product, and relates to the technical field of traffic protection facility detection.The method comprises the steps that when a facility maintenance instruction is received, an initial maintenance plan of a traffic protection facility is determined according to a preset basic database; collecting damage degree data, use frequency data and environmental influence factor data of the traffic protection facility according to a preset period; establishing a traffic protection facility digital twinborn model according to a preset basic database and the three data; environment association fields are added in the digital twinborn model to construct a multi-dimensional facility portrait; constructing a facility association network map of the traffic protection facility according to the digital twin model added with the field; and performing optimization processing on the initial maintenance plan according to the multi-dimensional facility portrait and the facility association network atlas. The technical problem of low maintenance accuracy of the traffic protection facility in related technologies is solved, and the technical effect of improving the maintenance accuracy of the traffic protection facility is achieved.

Description

Technical Field

[0001] This application relates to the technical field of traffic protection facility detection, and particularly to a method, device, medium and product for optimizing the maintenance plan of traffic protection facilities. Background Art

[0002] With the acceleration of the urbanization process and the continuous improvement of the traffic network, traffic protection facilities, as important infrastructure for ensuring road traffic safety, their maintenance and management have become increasingly important. Traffic protection facilities include various types such as guardrails, crash cushions, markings, and signboards, which are distributed in every corner of the city and undertake the important responsibility of protecting the safety of pedestrians and vehicles.

[0003] In the related art, the maintenance and management of traffic protection facilities usually rely on manual inspections and regular maintenance methods. Specifically, the traffic management department will arrange professional personnel to regularly inspect traffic protection facilities, check whether there are damages or safety hazards, and formulate a maintenance plan according to the inspection results. The maintenance plan usually includes elements such as maintenance time, maintenance content, and maintenance personnel to ensure the orderly progress of the maintenance work.

[0004] However, the above-mentioned manual inspection method has subjectivity and uncertainty. The experience level and sense of responsibility of the inspection personnel directly affect the accuracy and reliability of the inspection results. In addition, the regular maintenance method often lacks pertinence and flexibility and cannot be adjusted in a timely manner according to the actual conditions and maintenance needs of traffic protection facilities, thereby resulting in a low maintenance accuracy rate of traffic protection facilities in the related art. Summary of the Invention

[0005] This application provides a method, device, medium and product for optimizing the maintenance plan of traffic protection facilities to improve the maintenance accuracy rate of traffic protection facilities.

[0006] In a first aspect, the present application provides a method for optimizing a maintenance plan for traffic protection facilities, which is applied to the above-mentioned electronic device. The method includes: when receiving a facility maintenance instruction, determining an initial maintenance plan for a first traffic protection facility according to a preset basic database, where the preset basic database includes the geographical location, material type, design life, and design type of the first traffic protection facility; collecting data on the degree of damage, usage frequency, and environmental impact factors of the first traffic protection facility at a preset cycle; establishing a digital twin model of the traffic protection facility based on the geographical location, material type, design life, design type, data on the degree of damage, usage frequency data, and environmental impact factor data; adding an environmental association field to the digital twin model of the traffic protection facility to construct a multi-dimensional facility portrait driven by digital twins, where the multi-dimensional facility portrait is used to record the weather characteristics, geological conditions, traffic flow patterns, and historical accidents occurring in the section where the first traffic protection facility is located; constructing a digital twin-driven facility association network map of the first traffic protection facility based on the digital twin model of the traffic protection facility with the added environmental association field; and optimizing the initial maintenance plan for the first traffic protection facility according to the multi-dimensional facility portrait and the facility association network map.

[0007] By adopting the above technical solution, an initial maintenance plan can be quickly formed using the preset basic database, and an accurate digital twin model of the traffic protection facility can be established by periodically collecting multi-dimensional data. Adding an environmental association field to the digital twin model of the traffic protection facility can construct a multi-dimensional facility portrait containing rich on-site information, thereby providing a solid foundation for subsequent analysis. The combination of the multi-dimensional facility portrait and the facility association network map can comprehensively consider the mutual influence between facilities, thereby optimizing the initial maintenance plan in a targeted manner to ensure the efficiency and accuracy of the maintenance work. Furthermore, the technical problem of low maintenance accuracy of traffic protection facilities in the related art is solved, and the technical effect of improving the maintenance accuracy of traffic protection facilities is achieved.

[0008] Optionally, add environmental correlation fields to the digital twin model of traffic protection facilities to construct a multi-dimensional facility portrait driven by digital twins, specifically including: obtaining historical weather data of the section where the first traffic protection facility is located, and generating a weather feature field according to the historical weather data, where the weather feature field is used to store the types of extreme weather events and the duration of extreme weather within the first historical preset duration; obtaining the geological condition parameters of the section where the first traffic protection facility is located, and associating the geological condition parameters with the geographical location to generate a geological risk field, where the geological risk field is used to record the soil type, the fluctuation range of the groundwater level, the slope stability level, and the historical occurrence frequency of geological disasters; obtaining the traffic flow statistics data of the section where the first traffic protection facility is located within the second historical preset duration, and generating a traffic flow pattern field according to the traffic flow statistics data, where the traffic flow pattern field is used to mark the peak-hour flow peak, the proportion of heavy vehicles, and the average vehicle speed fluctuation range on the target date; obtaining the historical accident records associated with the section where the first traffic protection facility is located, and generating a historical accident occurrence field according to the historical accident records, where the historical accident occurrence field is used to record the accident type, the degree of accident casualties, the direct cause of the accident, and the location information of the damaged part of the facility; adding a weather feature field, a geological risk field, a traffic flow pattern field, and a historical accident occurrence field to the digital twin model of traffic protection facilities, where the environmental correlation fields include the weather feature field, the geological risk field, the traffic flow pattern field, and the historical accident occurrence field; obtaining the multi-dimensional facility portrait constructed by the digital twin model of traffic protection facilities according to the weather feature field, the geological risk field, the traffic flow pattern field, and the historical accident occurrence field.

[0009] By adopting the above technical solutions, comprehensive environmental correlation fields are generated based on the historical weather, geological conditions, traffic flow patterns, and accident records of the section where the first traffic protection facility is located. The addition of the environmental correlation fields enables the digital twin model of traffic protection facilities to more accurately reflect the facility status in the actual environment, thus providing key data support for subsequent risk analysis and optimization of maintenance plans.

[0010] Optionally, obtain the multi-dimensional facility portrait constructed by the digital twin model of traffic protection facilities according to the weather feature field, geological risk field, traffic flow pattern field, and historical accident field, specifically including: Use the digital twin model of traffic protection facilities to perform the following operations: The digital twin model of traffic protection facilities determines the physical characteristic parameters of the first traffic protection facility, where the physical characteristic parameters include material corrosion rate, stress deformation threshold, facility vibration frequency, design bearing capacity, and structural node distribution information; The digital twin model of traffic protection facilities performs corrosion analysis on the extreme weather event type in the weather feature field and the material corrosion rate to establish a corrosion risk correlation; The digital twin model of traffic protection facilities performs deformation analysis on the slope stability level in the geological risk field and the stress deformation threshold to establish a deformation risk correlation; The digital twin model of traffic protection facilities performs bearing analysis on the peak traffic flow value during peak hours in the traffic flow pattern field and the design bearing capacity to establish a traffic bearing correlation; The digital twin model of traffic protection facilities performs spatial overlay analysis on the facility damage location information in the historical accident field and the structural node distribution information to generate high-risk node area annotation information; The digital twin model of traffic protection facilities generates a material performance attenuation report based on the design life and environmental impact factors; The digital twin model of traffic protection facilities constructs a multi-dimensional facility portrait based on the corrosion risk correlation, deformation risk correlation, traffic bearing correlation, high-risk node area annotation information, and material performance attenuation report; Obtain the multi-dimensional facility portrait output by the digital twin model of traffic protection facilities.

[0011] By adopting the above technical solutions, the potential impacts of the physical characteristics of the first traffic protection facility and environmental factors are deeply analyzed through the digital twin model. Operations such as corrosion analysis, deformation analysis, and bearing analysis reveal the risk levels of traffic protection facilities under different environments, while spatial overlay analysis can quickly locate high-risk node areas. These analysis results and the material performance attenuation report together constitute a multi-dimensional facility portrait, thus providing a scientific basis for optimizing subsequent maintenance plans.

[0012] Optionally, construct a digital twin-driven facility association network map of the first traffic protection facility based on the digital twin model of the traffic protection facility with the environment association field added. Specifically, it includes: performing spatial proximity grouping on the second traffic protection facilities adjacent to the geographical location of the traffic protection facility according to the preset geographical proximity rule to establish a spatial association relationship between the first traffic protection facility and the second traffic protection facility; classifying and matching the first traffic protection facility and the second traffic protection facility according to the material type and design type to generate a facility type association table, where the facility type association table is used to record the association between the third traffic protection facilities with the same material type and / or design type, and the third traffic protection facilities include the first traffic protection facility and the second traffic protection facility; generating a risk propagation path table according to the historical occurrence frequency of geological disasters in the geological risk field, where the risk propagation path table is used to identify the geological risk propagation relationship between adjacent fourth traffic protection facilities, and the fourth traffic protection facilities include the first traffic protection facility and the second traffic protection facility; establishing an inter-segment traffic load association table according to the peak-hour traffic flow peak value and the proportion of heavy vehicles in the traffic flow pattern field, where the inter-segment traffic load association table is used to reflect the chain effect of traffic flow pressure on adjacent fifth traffic protection facilities, and the fifth traffic protection facilities include the first traffic protection facility and the second traffic protection facility; comparing the direct accident causes in the historical accident field with the facility type association table to generate an accident cause-facility type mapping relationship table; inputting the spatial association relationship, the facility type association table, the risk propagation path table, the traffic load association table, and the accident cause-facility type mapping relationship table into the digital twin model of the traffic protection facility with the environment association field added to construct the facility association network map of the first traffic protection facility.

[0013] By adopting the above technical solution, through the matching of geographical proximity rules, material types and design types, and the analysis of geological disasters and traffic loads, an association network map (i.e., facility association network map) between traffic protection facilities can be constructed. The facility association network map can not only reveal the physical connections between traffic protection facilities but also reflect the mutual influence between traffic protection facilities under different risk scenarios. Thus, it provides a global perspective for the subsequent optimization of maintenance plans and helps to formulate more comprehensive and effective maintenance strategies.

[0014] Optionally, upon receiving a facility maintenance instruction, determine the initial maintenance plan for the first traffic protection facility according to a preset basic database, specifically including: query the basic maintenance item list corresponding to the section where the first traffic protection facility is located from the preset section maintenance standard table according to the geographical location; match the material maintenance requirements of the first traffic protection facility from the preset material maintenance rule library according to the material type; compare the design life with the preset maintenance time threshold to trigger the life-expired maintenance task of the first traffic protection facility; associate the preset design maintenance specification library according to the design type to determine the design maintenance content of the first traffic protection facility; integrate the basic maintenance item list, material maintenance requirements, life-expired maintenance task and design maintenance content to generate the initial maintenance requirement list of the first traffic protection facility, where the initial maintenance plan includes the initial maintenance requirement list.

[0015] By adopting the above technical solution, in the process of quickly generating the initial maintenance plan for the first traffic protection facility through the preset basic database, multiple dimensions such as geographical location, material type, design life and design type are comprehensively considered, thus ensuring the comprehensiveness and pertinence of the maintenance plan. The generation of the initial maintenance requirement list provides a clear optimization goal and optimization direction for subsequent optimization processing.

[0016] Optionally, optimize the initial maintenance plan for the first traffic protection facility according to the multi-dimensional facility portrait and the facility association network graph, specifically including: generating a facility risk feature table based on the corrosion risk association relationship, deformation risk association relationship, traffic load association relationship, and high-risk node area annotation information in the multi-dimensional facility portrait, where the facility risk feature table includes N corrosion levels, M deformation amplitudes, and Q load-bearing capacity data items, and N, M, and Q are all positive integers greater than or equal to 1; screening out the sixth traffic protection facility that has geological risk propagation or traffic load chain impact with the first traffic protection facility according to the risk propagation path table and traffic load association table in the facility association network graph, and adding the corresponding slope reinforcement plan or traffic flow diversion facility addition plan of the sixth traffic protection facility to the initial maintenance requirement list; marking the first corrosion level, the first deformation amplitude, and the first load-bearing capacity data item that exceed the preset risk threshold in the facility risk feature table as emergency maintenance tasks according to the preset priority adjustment rule, and promoting the current execution order of the emergency maintenance tasks to the first execution order in the initial maintenance requirement list, where the preset priority adjustment rule includes a preset risk threshold, the N corrosion levels include the first corrosion level, the M deformation amplitudes include the first deformation amplitude, the Q load-bearing capacity data items include the first load-bearing capacity data item, and the priority of the first execution order is higher than that of the current execution order; adding a special inspection task for structural nodes to the initial maintenance requirement list according to the high-risk node area annotation information, where the special inspection task includes bolt tightening inspection, weld flaw detection, and buffer structure deformation measurement; screening out the seventh traffic protection facility with the same design type as the first traffic protection facility and having the same type of accident cause according to the facility type association table and the accident cause-facility type mapping relationship table, and adding the corresponding connector replacement plan of the seventh traffic protection facility to the initial maintenance requirement list.

[0017] By adopting the above technical solutions, the initial maintenance plan can be comprehensively optimized according to the multi-dimensional facility portrait and the facility association network graph. The generation of the facility risk feature table helps to identify key risk points, and the analysis of the chain impact of geological risks and traffic loads can ensure the comprehensiveness and forward-looking of the maintenance plan. The marking of emergency maintenance tasks and the adjustment of the execution order can improve the response speed and efficiency of maintenance work. The addition of special inspection tasks and connector replacement plans further enhances the pertinence and effectiveness of the maintenance plan.

[0018] Optionally, after optimizing the initial maintenance plan of the first traffic protection facility according to the multi-dimensional facility portrait and the facility association network graph, the method further includes: integrating the emergency maintenance tasks, slope reinforcement plans or traffic flow diversion facility addition plans, special inspection tasks, and connector replacement plans into maintenance optimization instructions, and outputting a digital twin-driven visual maintenance path chart. The visual maintenance path chart includes the maintenance association paths marked with the geographical locations of the first traffic protection facility, the sixth traffic protection facility, and the seventh traffic protection facility, a list of maintenance tasks arranged according to the priorities of the target execution order, the execution time limit of the emergency maintenance tasks, a schematic diagram of the structure of the high-risk node area, marking the bolt positions and weld areas that require special inspection, the implementation step diagrams of the slope reinforcement plan or traffic flow diversion facility addition plan, and the implementation step diagrams of the connector replacement plan. The list of maintenance tasks includes the emergency maintenance tasks and the execution time limit, and the target execution order includes the first execution order; associating the visual maintenance path chart with the multi-dimensional facility portrait and storing it in the traffic protection facility digital twin model, and simultaneously updating the visual maintenance path chart to the risk annotation layer of the facility association network graph.

[0019] By adopting the above technical solution, after the optimization process is completed, the maintenance tasks are integrated into clear maintenance optimization instructions, and an intuitive visual maintenance path chart is output. The visual maintenance path chart not only marks the maintenance association paths and priority rankings, but also includes detailed implementation step diagrams and schematic diagrams of the structure, which can provide strong guidance for on-site maintenance work. At the same time, associating the visual maintenance path chart with the multi-dimensional facility portrait and storing it in the digital twin model, and synchronously updating it to the risk annotation layer of the facility association network graph, can not only ensure the timeliness and consistency of information, but also provide strong support for subsequent analysis and decision-making.

[0020] In a second aspect, an embodiment of the present application provides an electronic device, which includes: one or more processors and a memory; the memory is coupled to the one or more processors, and the memory is used to store computer program code. The computer program code includes computer instructions, and the one or more processors call the computer instructions to cause the electronic device to execute the method described in the first aspect and any possible implementation manner in the first aspect.

[0021] In a third aspect, an embodiment of the present application provides a computer program product containing instructions. When the computer program product runs on the electronic device, it causes the electronic device to execute the method described in the first aspect and any possible implementation manner in the first aspect.

[0022] Fourthly, an embodiment of the present application provides a computer-readable storage medium, including instructions, which, when running on an electronic device, cause the electronic device to execute the method described in the first aspect and any possible implementation manner in the first aspect.

[0023] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: 1. The traffic protection facility maintenance plan optimization method provided by the present application uses a preset basic database to quickly form an initial maintenance plan. By periodically collecting multi-dimensional data, an accurate digital twin model of traffic protection facilities is established. Adding an environmental association field to the digital twin model of traffic protection facilities can construct a multi-dimensional facility portrait containing rich on-site information, thus providing a solid foundation for subsequent analysis. The multi-dimensional facility portrait combined with the facility association network atlas can comprehensively consider the mutual influence between facilities, so as to optimize the initial maintenance plan specifically and ensure the efficiency and accuracy of maintenance work.

[0024] 2. The traffic protection facility maintenance plan optimization method provided by the present application generates a comprehensive environmental association field according to the historical weather, geological conditions, traffic flow patterns and accident records of the section where the first traffic protection facility is located. The addition of the environmental association field enables the digital twin model of traffic protection facilities to more accurately reflect the facility status in the actual environment, thus providing key data support for subsequent risk analysis and maintenance plan optimization.

[0025] 3. The traffic protection facility maintenance plan optimization method provided by the present application deeply analyzes the potential impact of the physical characteristics and environmental factors of the first traffic protection facility through the digital twin model. Operations such as corrosion analysis, deformation analysis, and bearing analysis reveal the risk levels of traffic protection facilities in different environments, and spatial overlay analysis can quickly locate high-risk node areas. These analysis results and the material property attenuation report together constitute a multi-dimensional facility portrait, thus providing a scientific basis for subsequent maintenance plan optimization. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 is a flowchart of the traffic protection facility maintenance plan optimization method in an embodiment of the present application; Figure 2 is a schematic structural diagram of an entity device of an electronic device in an embodiment of the present application. DETAILED DESCRIPTION

[0027] The terms used in the following embodiments of the present application are only for the purpose of describing specific embodiments and are not intended to limit the present application. Singular expressions such as "a", "an", "the", "above-mentioned", "said", and "this" are intended to also include plural expressions unless the context clearly indicates otherwise. It should also be understood that the term "and / or" used in the present application refers to any or all possible combinations including one or more of the listed items.

[0028] Hereinafter, the terms "first" and "second" are only used for descriptive purposes and cannot be construed as implying or suggesting relative importance or implicitly indicating the quantity of the indicated technical features. Thus, features defined with "first" and "second" may explicitly or implicitly include one or more of such features. In the description of the embodiments of the present application, unless otherwise specified, the meaning of "a plurality" is two or more.

[0029] The present application provides an optimization method for a traffic protection facility maintenance plan. Refer to Figure 1 , Figure 1 which is a flowchart of the optimization method for the traffic protection facility maintenance plan in the embodiments of the present application, and includes the following steps: Step S101, when receiving a facility maintenance instruction, determine the initial maintenance plan of the first traffic protection facility according to a preset basic database, where the preset basic database includes the geographical location, material type, design life, and design type of the first traffic protection facility; Step S102, collect data on the damage degree, usage frequency, and environmental impact factors of the first traffic protection facility at a preset cycle; Step S103, establish a digital twin model of the traffic protection facility according to the geographical location, material type, design life, design type, damage degree data, usage frequency data, and environmental impact factor data; Step S104, add an environment association field to the digital twin model of the traffic protection facility to construct a multi-dimensional facility portrait driven by digital twin, where the multi-dimensional facility portrait is used to record the weather characteristics, geological conditions, traffic flow patterns, and historical accidents of the section where the first traffic protection facility is located; Step S105, construct a digital twin-driven facility association network graph of the first traffic protection facility according to the digital twin model of the traffic protection facility with the added environment association field; Step S106, optimize the initial maintenance plan of the first traffic protection facility according to the multi-dimensional facility portrait and the facility association network graph.

[0030] In the above embodiments, the preset basic database refers to a database that has been established and stores a large amount of basic information about traffic protection facilities. The basic information of traffic protection facilities includes, but is not limited to, the geographical location of the facilities (used to locate the specific location of the facilities), the material type (e.g., metal, plastic, concrete, etc., used to understand the durability and maintenance requirements of the facilities), the design life (the number of years that the traffic protection facilities are expected to work properly), and the design type (e.g., guardrails, signs, signal lights, etc., different types of facilities have different maintenance requirements). The initial maintenance plan refers to the maintenance plan and schedule for the first traffic protection facility initially formulated based on the information in the preset basic database. The facility maintenance instruction represents a signal or command that triggers the formulation of the maintenance plan, which can come from the decision of the traffic management department or the automatic monitoring equipment of the traffic protection facilities, etc.

[0031] In the above embodiments, after receiving the facility maintenance instruction from the traffic management department or the automatic monitoring equipment, the preset basic database is accessed, and based on the various basic information (such as geographical location, material type, design life, design type, etc.) of the traffic protection facilities (corresponding to the above first traffic protection facility) stored in the preset basic database, an initial maintenance plan is automatically generated. The initial maintenance plan includes basic information such as which facilities need to be maintained, when to conduct the maintenance, and the specific content of the maintenance. According to a preset cycle (e.g., daily, weekly, monthly, etc., not limited here), data on the damage degree (such as crack width, rust degree, etc.), usage frequency (such as the number of vehicle impacts, the number of times pedestrians touch, etc.), and environmental impact factors (such as temperature, humidity, wind speed, rainfall, etc.) of the first traffic protection facility are collected through sensors, monitoring equipment, etc.

[0032] In the above embodiment, it is assumed that a certain urban traffic management department needs to carry out intelligent maintenance management on the traffic protection facilities on an important highway. The traffic protection facilities include, but are not limited to, guardrails, signboards, signal lights, etc. In order to formulate a more accurate and efficient maintenance plan. The specific implementation steps are as follows: collect detailed information on all traffic protection facilities on the highway, including but not limited to geographical location (for example, longitude and latitude coordinates, etc.), material type (for example, metal, plastic, concrete, etc.), design life (for example, 3 years, 5 years, 10 years, etc.), design type (for example, guardrails, signboards, signal lights, etc.), etc. Generate a preset basic database based on this detailed information to serve as the basic data for subsequent modeling and maintenance plan formulation. According to a preset cycle (for example, every half day, every day, every week, etc.), collect data on the damage degree (for example, crack width, rust degree, etc.), usage frequency (for example, number of vehicle impacts, number of pedestrian touches, etc.), and environmental impact factors (for example, temperature, humidity, wind speed, rainfall, etc.) of the traffic protection facilities through sensors and monitoring devices installed on (or around) the traffic protection facilities. Transmit these data to the data center for storage through a wireless network for subsequent digital twin model establishment and maintenance plan optimization.

[0033] In the above embodiment, a digital twin model of traffic protection facilities is established based on the detailed information and real-time collected data in the preset basic database. This digital twin model of traffic protection facilities not only includes basic information such as the geometric shape and material of the facilities, but also simulates the operating state and damage conditions of traffic protection facilities in the actual environment through data driving. In the digital twin model of traffic protection facilities, an environmental association field is added to record information such as weather characteristics (for example, temperature, humidity, rainfall, etc.), geological conditions (for example, soil type, terrain slope, etc.), traffic flow patterns (for example, peak hours, average vehicle speed, etc.), and historical accidents (for example, accident type, occurrence time, influence range, etc.) of the section where the traffic protection facilities are located, so that the digital twin model can more comprehensively and accurately reflect the actual operating environment and state of traffic protection facilities. Based on the digital twin model with the added environmental association field, the traffic management department further constructs a digital twin-driven facility association network graph of traffic protection facilities. The facility association network graph can not only display the physical connection relationship between traffic protection facilities (for example, the relative position of guardrails and signboards, etc.), but also reveal the functional association and mutual influence between traffic protection facilities (for example, the impact of the damage degree of guardrails on traffic flow). According to the multi-dimensional facility portrait and the facility association network graph, the initial maintenance plan is optimized. By implementing the above steps, the maintenance plan is optimized based on the digital twin model of traffic protection facilities, which not only improves the efficiency and accuracy of maintenance work, but also reduces maintenance costs, providing a strong guarantee for road safety.

[0034] Through the above steps, an initial maintenance plan is quickly formed using a preset basic database. By periodically collecting multi-dimensional data, an accurate digital twin model of traffic protection facilities is established. Adding an environmental association field to the digital twin model of traffic protection facilities can construct a multi-dimensional facility portrait containing rich on-site information, thereby providing a solid foundation for subsequent analysis. Combining the multi-dimensional facility portrait with the facility association network map can comprehensively consider the mutual influence between facilities, thereby optimizing the initial maintenance plan targeted to ensure the efficiency and accuracy of maintenance work. Furthermore, the technical problem of low maintenance accuracy of traffic protection facilities in related technologies is solved, and the technical effect of improving the maintenance accuracy of traffic protection facilities is achieved.

[0035] Among them, the execution subject of the above steps can be a control system with the ability to maintain traffic protection facilities, or a control device with the ability to maintain traffic protection facilities, or a controller or processor in a device or system, or a separately existing controller or processor, or it can also be other processing devices or processing units with similar processing functions, etc., but not limited thereto.

[0036] In an optional embodiment, adding an environmental association field to the digital twin model of traffic protection facilities to construct a digital twin-driven multi-dimensional facility portrait specifically includes: obtaining the historical weather data of the section where the first traffic protection facility is located, and generating a weather feature field according to the historical weather data, where the weather feature field is used to store the extreme weather event type and extreme weather duration within the first historical preset duration; obtaining the geological condition parameters of the section where the first traffic protection facility is located, and associating the geological condition parameters with the geographical location to generate a geological risk field, where the geological risk field is used to record the soil type, the fluctuation range of the groundwater level, the slope stability level, and the historical occurrence frequency of geological disasters; obtaining the traffic flow statistics data of the section where the first traffic protection facility is located within the second historical preset duration, and generating a traffic flow pattern field according to the traffic flow statistics data, where the traffic flow pattern field is used to mark the peak-hour flow peak, the proportion of heavy vehicles, and the average vehicle speed fluctuation range on the target date; obtaining the historical accident records associated with the section where the first traffic protection facility is located, and generating a historical accident occurrence field according to the historical accident records, where the historical accident occurrence field is used to record the accident type, the accident casualty degree, the direct cause of the accident, and the location information of the damaged part of the facility; adding a weather feature field, a geological risk field, a traffic flow pattern field, and a historical accident occurrence field to the digital twin model of traffic protection facilities, where the environmental association field includes the weather feature field, the geological risk field, the traffic flow pattern field, and the historical accident occurrence field; obtaining the multi-dimensional facility portrait constructed by the digital twin model of traffic protection facilities according to the weather feature field, the geological risk field, the traffic flow pattern field, and the historical accident occurrence field.

[0037] In the above embodiments, historical weather data of the section where the first traffic protection facility is located is obtained, and weather feature fields are generated based on the historical weather data. Among them, the weather feature fields represent extreme weather event types (such as heavy rain, blizzard, high temperature, etc.) and extreme weather duration (such as how many hours heavy rain lasted, how many hours blizzard lasted, how many hours high temperature lasted, etc.) within the first historical preset duration (such as the past 1 year, 3 years, 5 years, etc.). Geological condition parameters of the section where the first traffic protection facility is located are obtained, and the geological condition parameters are associated with the geographical location to generate geological risk fields. Among them, the geological risk fields are used to represent soil types (such as clay, sand, rock, etc.), the fluctuation range of the groundwater level (such as the difference between the highest water level and the lowest water level), the slope stability level (such as stable, relatively stable, unstable, etc.), and the historical occurrence frequency of geological disasters (such as the number of occurrences of landslides, mudslides and other disasters in the past 1, 3, 5 years, etc.).

[0038] In the above embodiments, traffic flow statistics data of the section where the first traffic protection facility is located within the second historical preset duration (such as the past six months, the past 1 year, the past 2 years, etc.) is obtained, and traffic flow pattern fields are generated based on the traffic flow statistics data. Among them, the traffic flow pattern fields are used to record the peak period flow peaks (such as the maximum traffic flow during the morning rush hour, the maximum traffic flow during the lunch rush hour, the maximum traffic flow during the evening rush hour, etc.), the proportion of heavy vehicles (such as the proportion of heavy vehicles in all vehicles), and the average vehicle speed fluctuation range (such as the average change value of the vehicle speed within a certain range) on the target date (such as a certain day of the week, two certain days of the week, two certain days of the month, etc.). Historical accident records associated with the section where the first traffic protection facility is located are obtained, and historical accident occurrence fields are generated based on the historical accident records. Among them, the historical accident occurrence fields are used to store accident types (such as rear-end collision, rollover, collision, etc.), accident casualty degrees (such as minor injury, serious injury, death, etc.), direct accident causes (such as speeding, drunk driving, fatigue driving, etc.), and location information of damaged parts of the facility (such as the specific location where the guardrail is damaged). Weather feature fields, geological risk fields, traffic flow pattern fields, and historical accident occurrence fields are added to the digital twin model of the traffic protection facility. Among them, the environment association fields include the above-mentioned weather feature fields, geological risk fields, traffic flow pattern fields, and historical accident occurrence fields. A multi-dimensional facility portrait constructed by the digital twin model of the traffic protection facility based on the weather feature fields, geological risk fields, traffic flow pattern fields, and historical accident occurrence fields is obtained. The multi-dimensional facility portrait comprehensively reflects the environmental characteristics and operating conditions of the section where the facility is located.

[0039] In the above embodiment, assume that a traffic management department, in order to improve the safety and maintenance efficiency of traffic protection facilities, monitors and manages traffic protection facilities through a digital twin model. The specific implementation steps are as follows: Obtain the weather data of the section where the first traffic protection facility is located in the past 5 years (for example, the past 2 years, the past 3 years, the past 4 years) from the local meteorological department, clean and organize the weather data, and remove invalid and abnormal data. Using a data analysis tool, extract the types of extreme weather events (such as heavy rain, blizzard, high temperature, etc.) and the duration of extreme weather within the first historical preset duration (i.e., the past 5 years). Generate weather feature fields according to the extracted features. Obtain the geological condition parameters of the section where the first traffic protection facility is located from the geological department, including but not limited to soil type, groundwater level, etc., and associate the geological condition parameters with the geographical location to ensure that each geological condition parameter can correspond to a specific section location. A geological risk assessment model can be used to assess the geological conditions of the section, determine the slope stability level and the historical occurrence frequency of geological disasters. Generate geological risk fields according to the risk assessment results.

[0040] In the above embodiment, obtain the traffic flow statistics data of the section where the first traffic protection facility is located in the past 1 year from the traffic management department, clean and organize the traffic flow data, and remove duplicate and invalid data. Using a data analysis tool, analyze the traffic flow data to determine the peak traffic flow, the proportion of heavy vehicles, and the average vehicle speed fluctuation range on a target date (i.e., a certain day of each week). Generate traffic flow pattern fields according to the pattern analysis results. Obtain the historical accident records associated with the section where the first traffic protection facility is located from the traffic management department, conduct a detailed analysis of the accident records, determine the accident type, the degree of accident casualties, the direct cause of the accident, and the location information of the damaged part of the facility. Generate historical accident occurrence fields according to the accident analysis results. Add the weather feature fields, geological risk fields, traffic flow pattern fields, and historical accident occurrence fields to the digital twin model of traffic protection facilities to form environment-related fields. Use the digital twin model with the added environment-related fields to construct a multi-dimensional facility portrait of traffic protection facilities. A visualization tool can also be used to display the multi-dimensional facility portrait so that the traffic management department can intuitively understand the environmental characteristics and operating conditions of the section where the facility is located. By implementing the above steps, constructing a multi-dimensional facility portrait based on the digital twin model of traffic protection facilities can display historical weather, geological conditions, traffic flow statistics, and historical accident records of the section where the colloid protection facility is located in real time, providing comprehensive decision-making support for the traffic management department. At the same time, it can also update the multi-dimensional facility portrait according to real-time data to ensure that the traffic management department can timely understand the operating conditions and safety risks of traffic protection facilities, and thus take corresponding maintenance and management measures.

[0041] In an optional embodiment, a multi-dimensional facility portrait constructed by a digital twin model of traffic protection facilities based on a weather feature field, a geological risk field, a traffic flow pattern field, and a historical accident field is obtained, which specifically includes: using the digital twin model of traffic protection facilities to perform the following operations: the digital twin model of traffic protection facilities determines the physical characteristic parameters of the first traffic protection facility, where the physical characteristic parameters include the material corrosion rate, the stress deformation threshold, the facility vibration frequency, the design bearing capacity, and the structural node distribution information; the digital twin model of traffic protection facilities performs corrosion analysis on the extreme weather event type in the weather feature field and the material corrosion rate to establish a corrosion risk association relationship; the digital twin model of traffic protection facilities performs deformation analysis on the slope stability level in the geological risk field and the stress deformation threshold to establish a deformation risk association relationship; the digital twin model of traffic protection facilities performs bearing analysis on the peak traffic flow value during the peak period in the traffic flow pattern field and the design bearing capacity to establish a traffic bearing association relationship; the digital twin model of traffic protection facilities performs spatial overlay analysis on the facility damage location information in the historical accident field and the structural node distribution information to generate high-risk node area annotation information; the digital twin model of traffic protection facilities generates a material performance attenuation report according to the design life and environmental impact factors; the digital twin model of traffic protection facilities constructs a multi-dimensional facility portrait based on the corrosion risk association relationship, the deformation risk association relationship, the traffic bearing association relationship, the high-risk node area annotation information, and the material performance attenuation report; obtain the multi-dimensional facility portrait output by the digital twin model of traffic protection facilities.

[0042] In the above embodiments, the physical property parameters represent the physical attributes of the first traffic protection facility. The physical property parameters include the material corrosion rate (i.e., the corrosion rate of the material of the first traffic protection facility due to environmental factors), the stress deformation threshold (i.e., the limit value of deformation of the material of the first traffic protection facility when subjected to force), the facility vibration frequency (i.e., the vibration frequency generated by the first traffic protection facility during operation), the design bearing capacity (i.e., the maximum load weight specified during the design of the first traffic protection facility), and the structural node distribution information (i.e., the distribution of connection points and support points of the internal structure of the first traffic protection facility). The extreme weather event type refers to weather events that have occurred historically and have potential impacts on the first traffic protection facility. For example, heavy rain, snowstorm, etc. Conducting corrosion analysis on the extreme weather event type and the material corrosion rate is to evaluate the corrosion risk of the first traffic protection facility under different weather conditions. The slope stability level represents the stability degree of the slope where the first traffic protection facility is located. Conducting deformation analysis on the slope stability level and the stress deformation threshold is to evaluate the influence of geological conditions on the deformation of the first traffic protection facility. The peak traffic flow peak during peak hours refers to the maximum value of traffic flow within a specific time period. Conducting bearing analysis on the peak traffic flow peak during peak hours and the design bearing capacity is to evaluate the bearing capacity of the first traffic protection facility during peak hours. The location information of the damaged part of the facility refers to the damaged location of the historical traffic protection facility during historical accidents. Conducting spatial overlay analysis with the structural node distribution information is to identify high-risk areas that may exist in the first traffic protection facility. The material performance attenuation report is generated based on the design life of the facility and environmental impact factors (such as weather, geological conditions, etc.) and is used to evaluate the change of material performance over time.

[0043] In the above embodiment, it is assumed that a certain urban traffic management department monitors and manages traffic protection facilities through a digital twin model in order to improve the safety and maintenance efficiency of traffic protection facilities. The specific implementation steps are as follows: The digital twin model of traffic protection facilities calculates the physical characteristic parameters of the first traffic protection facility based on the input relevant data of the first traffic protection facility, including but not limited to information such as material, structure, and size, including but not limited to material corrosion rate, stress deformation threshold, facility vibration frequency, design bearing capacity, and structural node distribution information. The digital twin model of traffic protection facilities extracts extreme weather event types from the weather characteristic field, for example, heavy rain, blizzard, high temperature, etc., associates the extreme weather event types with the material corrosion rate, analyzes the corrosion situation of the facilities under different weather conditions, and based on the analysis results, establishes a corrosion risk association relationship, that is, the corrosion risk level of the first traffic protection facility under different weather conditions. The digital twin model of traffic protection facilities extracts slope stability level information from the geological risk field, associates the slope stability level with the stress deformation threshold, analyzes the influence of geological conditions on the deformation of the facilities, and based on the analysis results, establishes a deformation risk association relationship, that is, the deformation risk level of the first traffic protection facility under different geological conditions.

[0044] In the above embodiments, the digital twin model of traffic protection facilities extracts peak traffic flow information during peak hours from the traffic flow pattern field, correlates the peak traffic flow during peak hours with the design bearing capacity, analyzes the bearing capacity of the facilities during peak hours, and based on the analysis results, establishes a traffic bearing correlation relationship, that is, the bearing risk level of the first traffic protection under different traffic flows. The digital twin model of traffic protection facilities extracts the positioning information of the damaged parts of the facilities from the historical accident field, performs a spatial overlay analysis of the damaged part positioning information and the structural node distribution information, identifies the high-risk areas that may exist in the facilities, and based on the analysis results, generates high-risk node area annotation information, that is, marks the high-risk areas in the structure diagram of the first traffic protection facilities. The digital twin model of traffic protection facilities calculates the performance attenuation of the materials according to the design life of the facilities and environmental impact factors (such as weather, geological conditions, traffic flow, etc.), and based on the calculation results, generates a material performance attenuation report, that is, the performance change of the materials at different time periods. The digital twin model of traffic protection facilities integrates all the above analysis results (i.e., corrosion risk correlation relationship, deformation risk correlation relationship, traffic bearing correlation relationship, high-risk node area annotation information, and material performance attenuation report), and constructs a multi-dimensional facility portrait based on the integrated information. This multi-dimensional facility portrait can comprehensively reflect the status, risks, and performance of the facilities. The traffic management department obtains the multi-dimensional facility portrait output by the digital twin model of traffic protection facilities through a visualization tool or interface, and can intuitively understand the status, risks, and performance of the facilities through the multi-dimensional facility portrait, so as to formulate scientific and reasonable maintenance plans and risk management strategies. The multi-dimensional facility portrait can also be updated according to real-time data to ensure that the management department can timely understand the changes of the facilities and take corresponding measures.

[0045] In the above embodiments, the corrosion rate is not only affected by environmental factors (such as temperature, humidity, pollutant concentration, etc.), but also related to the characteristics of the material itself. A non-linear corrosion formula can be used to quantify the corrosion risk:

[0046] Where, is the corrosion rate at time t; is the initial corrosion rate (related to the material); is the corrosion activation energy (material characteristic); is the gas constant; is the environmental temperature at time t; is the pollutant concentration at time t; is the humidity at time t; is the weight coefficient of the pollutant on the corrosion rate, is the weight coefficient of the humidity on the corrosion rate. Through this formula, the corrosion risk of the facilities under different environmental conditions can be dynamically predicted.

[0047] In the above embodiments, the deformation risk is related to geological conditions (such as slope stability, groundwater level fluctuations) and the stress distribution of the facility itself. A finite element analysis formula can be used to quantify the deformation risk:

[0048] where, is the total deformation of the traffic protection facility at the spatial position This deformation is jointly determined by the elastic deformation caused by stress and the thermal expansion caused by temperature changes; is the stress distribution function, representing the stress value of the facility at the spatial position ; is the elastic modulus distribution function, representing the material stiffness of the facility at the spatial position ; is the coefficient of thermal expansion, representing the expansion or contraction characteristics of the material under temperature changes; is the temperature change function, representing the temperature change amount of the traffic protection facility at the spatial position ; The volume V is the geometric area of the traffic protection facility in three-dimensional space.

[0049] In the above embodiments, the traffic carrying capacity is related to the traffic flow, vehicle types (e.g., the proportion of heavy vehicles, etc.) and the design bearing capacity of the facility. A dynamic bearing capacity formula can be used to quantify the traffic carrying risk:

[0050] where, is the remaining bearing capacity at time t; is the design bearing capacity; is the weight coefficient of the th type of vehicle (for example, the weight of heavy vehicles is relatively high); is the traffic flow of the th type of vehicle at time t; is the average speed of the th type of vehicle at time t; is the maximum vehicle speed allowed by the traffic protection facility; is the influence coefficient of vehicle speed on the bearing capacity. Through this formula, the bearing capacity of the facility under different traffic conditions can be dynamically evaluated.

[0051] In an optional embodiment, a digital twin-driven facility association network graph of the first traffic protection facility is constructed according to the digital twin model of the traffic protection facility with an additional environmental association field, which specifically includes: performing spatial proximity grouping on the second traffic protection facilities adjacent to the geographical location of the traffic protection facility according to the preset geographical proximity rule to establish a spatial association relationship between the first traffic protection facility and the second traffic protection facility; classifying and matching the first traffic protection facility and the second traffic protection facility according to the material type and design type to generate a facility type association table, where the facility type association table is used to record the association between the third traffic protection facilities with the same material type and / or design type, and the third traffic protection facilities include the first traffic protection facility and the second traffic protection facility; generating a risk propagation path table according to the historical occurrence frequency of geological disasters in the geological risk field, where the risk propagation path table is used to identify the geological risk propagation relationship between adjacent fourth traffic protection facilities, and the fourth traffic protection facilities include the first traffic protection facility and the second traffic protection facility; establishing an inter-segment traffic load association table according to the peak-hour traffic flow peak value and the proportion of heavy vehicles in the traffic flow pattern field, where the inter-segment traffic load association table is used to reflect the chain effect of traffic flow pressure on adjacent fifth traffic protection facilities, and the fifth traffic protection facilities include the first traffic protection facility and the second traffic protection facility; comparing the direct accident causes in the historical accident field with the facility type association table to generate an accident cause-facility type mapping relationship table; inputting the spatial association relationship, the facility type association table, the risk propagation path table, the traffic load association table, and the accident cause-facility type mapping relationship table into the digital twin model of the traffic protection facility with an additional environmental association field to construct the facility association network graph of the first traffic protection facility.

[0052] In the above embodiment, the second traffic protection facilities adjacent to the geographical location of the traffic protection facility are grouped by spatial proximity according to the preset geographical proximity rule. The preset geographical proximity rule refers to the rule preset for determining which traffic protection facilities are adjacent geographically, such as distance threshold, administrative division, etc. Spatial proximity grouping means grouping adjacent traffic protection facilities into a group for subsequent analysis. The first traffic protection facility is the traffic protection facility of main concern, and the second traffic protection facility refers to other traffic protection facilities adjacent to the first traffic protection facility geographically. The first traffic protection facility and the second traffic protection facility are classified and matched according to the material type and design type. The material type represents the types of materials used for the traffic protection facility, such as steel, concrete, etc.; the design type represents the structural design or functional design of the traffic protection facility, such as guardrail type, anti-collision grade, etc. The facility type association table is used to record the association between traffic protection facilities with the same material type and / or design type.

[0053] In the above embodiments, a risk propagation path table is generated based on the historical occurrence frequency of geological disasters in the geological risk field. The geological risk field contains data on the historical occurrence of geological disasters (such as landslides, debris flows, etc.). The risk propagation path table is used to identify adjacent traffic protection facilities with the propagation relationship of geological disasters. According to the peak-hour flow peak value and the proportion of heavy vehicles in the traffic flow pattern field, an inter-segment traffic load association table is established. The traffic flow pattern field contains data on traffic flow. The peak-hour flow peak value represents the maximum flow of a road section during the traffic peak period, and the proportion of heavy vehicles represents the proportion of heavy vehicles in the total traffic flow. The inter-segment traffic load association table is used to reflect the chain effect of traffic load (i.e., traffic flow pressure) between different road sections (i.e., the road sections where adjacent traffic protection facilities are located). The accident direct cause in the historical accident field is compared with the facility type association table. The historical accident field contains data on traffic accidents, and the accident direct cause represents the main reason for the accident. The accident cause-facility type mapping relationship table is generated by comparing the accident direct cause with the facility type association table and is used to reveal the association relationship between different accident causes and traffic protection facility types.

[0054] In the above embodiments, the management efficiency and risk prevention and control ability of traffic protection facilities are improved by constructing a facility association network graph of traffic protection facilities. The specific implementation steps are as follows: collect data such as the geographical location, material type, design type, geological risk field (including the historical occurrence frequency of geological disasters, etc.), traffic flow pattern field (including the peak-hour flow peak value and the proportion of heavy vehicles, etc.), and historical accident field (including the accident direct cause, etc.) of all relevant traffic protection facilities. Preprocess the collected data, including data cleaning, format conversion, and missing value processing, etc., to ensure the accuracy and consistency of the data. According to the preset geographical proximity rules (such as distance threshold, administrative division, etc.), perform spatial proximity grouping on the second traffic protection facility adjacent to the geographical location of the first traffic protection facility, establish the spatial association relationship between the first traffic protection facility and the second traffic protection facility, and form a spatial association relationship table. Based on the material type and design type, classify and match the first traffic protection facility and the second traffic protection facility, generate a facility type association table, and record the relevance between the third traffic protection facilities (including the first traffic protection facility and the second traffic protection facility) with the same material type and / or design type.

[0055] In the above embodiments, according to the historical occurrence frequency of geological disasters in the geological risk field, the geological risk propagation relationship between adjacent fourth traffic protection facilities (including the first traffic protection facility and the second traffic protection facility) is analyzed to generate a risk propagation path table, which identifies the geological risk propagation paths and possibilities between adjacent facilities. According to the peak-hour traffic flow peak value and the proportion of heavy vehicles in the traffic flow pattern field, the chain effect of traffic load between adjacent road sections (i.e., the road sections where adjacent fifth traffic protection facilities are located) is analyzed to establish an inter-road-section traffic load association table, which reflects the traffic load association relationship and pressure distribution between different road sections. The accident direct causes in the historical accident field are compared with the facility type association table to generate an accident cause-facility type mapping relationship table, which reveals the association relationship between different accident causes and traffic protection facility types. The spatial association relationship, the facility type association table, the risk propagation path table, the inter-road-section traffic load association table, and the accident cause-facility type mapping relationship table are input into the digital twin model of the traffic protection facility with an additional environmental association field, and using model algorithms and visualization tools, a facility association network graph of the first traffic protection facility is constructed. The facility association network graph can display the spatial association, type association, risk propagation path, traffic load association, and the mapping relationship between accident causes and facility types between facilities. Furthermore, the constructed facility association network graph can be applied to the management and maintenance of traffic protection facilities to provide decision-making support for relevant departments. According to the actual application situation, feedback data is continuously collected to optimize the model algorithm and the graph construction process, and improve the accuracy and practicality of the graph. By implementing the above steps, a comprehensive and dynamic facility association network graph of traffic protection facilities can be constructed. Through the facility association network graph, the association relationship, risk propagation path, and traffic load distribution between facilities can be better understood, so as to formulate more scientific and reasonable maintenance plans and risk management strategies.

[0056] In an alternative embodiment, when a facility maintenance instruction is received, the initial maintenance plan for the first traffic protection facility is determined according to a preset basic database, specifically including: querying the basic maintenance item list corresponding to the road section where the first traffic protection facility is located from the preset road section maintenance standard table according to the geographical location; matching the material maintenance requirements of the first traffic protection facility from the preset material maintenance rule library according to the material type; comparing the design life with the preset maintenance time threshold to trigger the life-expired maintenance task of the first traffic protection facility; associating the design type with the preset design maintenance specification library to determine the design maintenance content of the first traffic protection facility; integrating the basic maintenance item list, the material maintenance requirements, the life-expired maintenance task, and the design maintenance content to generate an initial maintenance requirement list for the first traffic protection facility, where the initial maintenance plan includes the initial maintenance requirement list.

[0057] In the above embodiments, the geographical location represents the specific location information of the traffic protection facilities in the geographical space, usually represented by longitude and latitude, address description, administrative division, etc. The preset road section maintenance standard table refers to a pre-set table containing different road sections and their corresponding basic maintenance items, which is used to guide the maintenance work of traffic protection facilities. The basic maintenance item list refers to the list of basic maintenance items required for the traffic protection facilities of a specific road section, obtained by querying the road section maintenance standard table. The material type represents the types of materials used for traffic protection facilities, such as metal, concrete, plastic, etc. The preset material maintenance rule library refers to a database containing different materials and their corresponding maintenance requirements, which is used to guide the maintenance work of traffic protection facilities of different materials. The material maintenance requirement refers to the maintenance requirement for traffic protection facilities of a specific material, obtained by matching the material maintenance rule library. The design life represents the expected service life of traffic protection facilities at the time of design. The preset maintenance time threshold refers to a pre-set time limit, which is used to determine whether the traffic protection facilities reach the end of their service life and need to be maintained. The maintenance task at the end of the service life refers to the maintenance task triggered when the design life of the traffic protection facilities reaches or exceeds the preset maintenance time threshold. The design type represents the design style or type of traffic protection facilities, such as guardrails, signs, roadblocks, etc. The preset design maintenance specification library refers to a database containing different design types and their corresponding maintenance specifications, which is used to guide the maintenance work of traffic protection facilities of different design types. The design maintenance content refers to the maintenance content required for traffic protection facilities of a specific design type, determined according to the design maintenance specification library. The initial maintenance requirement list refers to the initial maintenance requirement list for the first traffic protection facility obtained by integrating the basic maintenance item list, material maintenance requirements, maintenance tasks at the end of the service life, and design maintenance content. The initial maintenance plan refers to the maintenance plan containing the initial maintenance requirement list, which is used to guide the specific maintenance work of the first traffic protection facility.

[0058] In the above embodiments, to ensure the safety and functionality of traffic protection facilities, it is necessary to regularly maintain and service the traffic protection facilities. Based on information such as the geographical location, material type, design life, and design type of the traffic protection facilities, an initial maintenance requirement list is generated to guide subsequent maintenance work. The specific implementation steps are as follows: Obtain the geographical location information of the first traffic protection facility, which may be specific geographical coordinates or road section names. Access the preset road section maintenance standard table, which can be an electronic database containing different road sections and their corresponding basic maintenance items. By matching the geographical location information with the road section maintenance standard table, query the list of basic maintenance items corresponding to the road section where the first traffic protection facility is located. The list of basic maintenance items includes, but is not limited to, road surface cleaning, sign and marking maintenance, guardrail inspection, etc. Obtain the material type information of the first traffic protection facility, for example, metal, concrete, plastic, etc. Access the preset material maintenance rule library, which contains different materials and their corresponding maintenance requirements, such as anti-corrosion treatment, strength testing, replacement cycle, etc. By matching the material type with the material maintenance rule library, determine the material maintenance requirements of the first traffic protection facility.

[0059] In the above embodiments, obtain the design life information of the first traffic protection facility, which can be the numerical value of the expected service life of the traffic protection facility. Set a preset maintenance time threshold, for example, half a year, 1 year, 2 years, etc. Compare the design life with the preset maintenance time threshold. If the design life has reached or exceeded the preset maintenance time threshold, trigger a life-expired maintenance task, such as conducting a comprehensive inspection, replacing aging components, etc. Obtain the design type information of the first traffic protection facility, for example, corrugated beam guardrail, reinforced concrete guardrail, traffic sign, etc. Access the preset design maintenance specification library, which contains different design types and their corresponding maintenance specifications, such as cleaning frequency, maintenance method, replacement standard, etc. By associating the design type with the design maintenance specification library, determine the design maintenance content of the first traffic protection facility. Integrate the list of basic maintenance items, material maintenance requirements, life-expired maintenance tasks, and design maintenance content. The integrated information is organized into a clear initial maintenance requirement list, which details all the maintenance work that needs to be carried out on the first traffic protection facility. The initial maintenance requirement list, as part of the initial maintenance plan, is used to guide subsequent maintenance work. By implementing the above steps, it can provide strong guidance for subsequent maintenance work and ensure the effective guarantee of the safety and functionality of traffic protection facilities.

[0060] In an optional embodiment, the initial maintenance plan of the first traffic protection facility is optimized according to the multi-dimensional facility portrait and the facility association network map, specifically including: generating a facility risk feature table according to the corrosion risk association relationship, deformation risk association relationship, traffic load association relationship and high-risk node area annotation information in the multi-dimensional facility portrait, where the facility risk feature table includes N corrosion levels, M deformation amplitudes, and Q load-bearing load data items, and N, M, and Q are all positive integers greater than or equal to 1; screening out the sixth traffic protection facility that has geological risk propagation or traffic load chain impact with the first traffic protection facility according to the risk propagation path table and traffic load association table in the facility association network map, and adding the corresponding slope reinforcement plan or traffic flow diversion facility addition plan of the sixth traffic protection facility to the initial maintenance requirement list; marking the first corrosion level, the first deformation amplitude, and the first load-bearing load data item that exceed the preset risk threshold in the facility risk feature table as emergency maintenance tasks according to the preset priority adjustment rule, and promoting the current execution order of the emergency maintenance tasks to the first execution order in the initial maintenance requirement list, where the preset priority adjustment rule includes a preset risk threshold, the N corrosion levels include the first corrosion level, the M deformation amplitudes include the first deformation amplitude, the Q load-bearing load data items include the first load-bearing load data item, and the priority of the first execution order is higher than the priority of the current execution order; adding a special inspection task for structural nodes to the initial maintenance requirement list according to the high-risk node area annotation information, where the special inspection task includes bolt fastening inspection, weld flaw detection, and buffer structure deformation measurement; screening out the seventh traffic protection facility with the same design type as the first traffic protection facility and having the same type of accident cause according to the facility type association table and the accident cause-facility type mapping relationship table, and adding the corresponding connector replacement plan of the seventh traffic protection facility to the initial maintenance requirement list.

[0061] In the above embodiments, the facility risk feature table refers to a table used to record the facility risk features, including data items such as N corrosion levels, M deformation amplitudes, Q bearing load data items, etc. These data items are respectively used to represent the risk status of the facility in different dimensions. Among them, N, M, and Q are all positive integers greater than or equal to 1, representing the number of risk features in each dimension. The facility association network graph is a graph representing the association relationships between traffic protection facilities, including key information such as a risk propagation path table and a traffic load association table. The risk propagation path table is used to describe the ways and paths of risk propagation between facilities. The traffic load association table is used to describe the mutual influence relationships of traffic loads between facilities. The sixth traffic protection facility refers to a traffic protection facility that has a geological risk propagation or traffic load chain effect with the first traffic protection facility. The slope reinforcement plan or the traffic flow diversion facility addition plan is a maintenance plan formulated for the possible risks of the sixth traffic protection facility. The preset priority adjustment rule is a rule used to determine the priority of maintenance tasks, including key information such as a preset risk threshold. When some data items in the facility risk feature table exceed the preset risk threshold, these data items will be marked as urgent maintenance tasks.

[0062] In the above embodiments, in order to ensure the safe operation of traffic protection facilities and reduce the accident risks caused by facility aging, damage, or excessive load. The specific implementation steps are as follows: Analyze the multi-dimensional facility portraits of traffic protection facilities (including corrosion risk association relationships, deformation risk association relationships, traffic load association relationships, and high-risk node area annotation information) to generate a facility risk feature table. The facility risk feature table includes N corrosion levels (for example, slight corrosion, moderate corrosion, severe corrosion, etc.), M deformation amplitudes (for example, minor deformation, medium deformation, severe deformation, etc.), and Q bearing load data items (for example, daily load, peak load, extreme load, etc.). Assume N = 3, M = 3, and Q = 3, that is, there are three different risk levels or data items in each dimension. Use the risk propagation path table and the traffic load association table in the facility association network graph to screen out the sixth traffic protection facility that has a geological risk propagation or traffic load chain effect with the first traffic protection facility. For example, it is found that there are geological instability problems in the section where the first traffic protection facility is located, which may cause the adjacent sixth traffic protection facility to face the same risk. At the same time, due to the first traffic protection facility often bearing a high traffic load, the sixth traffic protection facility downstream may also be affected by the chain effect. For these associated facilities, formulate corresponding maintenance plans, such as slope reinforcement plans or traffic flow diversion facility addition plans, and add these plans to the initial maintenance requirement list.

[0063] In the above embodiments, according to the preset priority adjustment rule, the first corrosion level, the first deformation amplitude, and the first load-bearing capacity data items in the facility risk feature table that exceed the preset risk threshold are marked as emergency maintenance tasks. For example, it is found that the corrosion level of the first traffic protection facility has reached severe corrosion, the deformation amplitude has also reached serious deformation, and its load-bearing capacity often exceeds the limit value. These risk items are marked as emergency maintenance tasks. In the initial maintenance requirement list, the current execution order of these emergency maintenance tasks is promoted to the first execution order to ensure that they can be given priority. According to the high-risk node area marking information, a special inspection task for structural nodes is added to the initial maintenance requirement list. The special inspection tasks include bolt tightening inspection, weld flaw detection, buffer structure deformation measurement, etc., and specific inspection times and frequencies are set to ensure the structural safety of the facility. Using the facility type association table and the accident cause - facility type mapping relationship table, the seventh traffic protection facilities with the same design type as the first traffic protection facility and the same type of accident cause are screened out. For example, it is found that the first traffic protection facility has had an accident due to loose connectors. Therefore, all the seventh traffic protection facilities with the same design type and the risk of loose connectors are screened out. For these traffic protection facilities, a connector replacement plan is formulated and added to the initial maintenance requirement list. By implementing the above steps, the maintenance tasks are prioritized according to the urgency and importance of the risks, providing strong guidance for subsequent maintenance work and ensuring the safe operation of traffic protection facilities.

[0064] In the above embodiments, the maintenance priority needs to comprehensively consider the corrosion risk, deformation risk, and traffic load risk. A multi-objective optimization formula can be used to quantify the priority:

[0065] where, is the maintenance priority score; is the weight coefficient of the th facility; is the th corrosion risk of the traffic protection facility; is the th deformation risk of the traffic protection facility; is the th traffic load risk of the traffic protection facility; is the corrosion risk threshold, which represents the maximum allowable corrosion rate of the facility material per unit time. When the corrosion risk threshold is exceeded, the corrosion risk of the traffic protection facility is relatively high, and maintenance measures need to be taken; is the deformation risk threshold, which represents the maximum allowable deformation of the traffic protection facility under stress. When the deformation risk threshold is exceeded, the deformation risk of the traffic protection facility is relatively high, which may lead to structural failure; is the traffic bearing risk threshold, representing the maximum bearing capacity allowed for traffic protection facilities under traffic load. When the traffic bearing risk threshold is exceeded, the bearing risk of traffic protection facilities is relatively high, which may lead to structural damage; is the priority coefficient of historical accidents or maintenance records; is the weight coefficient of historical priority. Through this formula, the maintenance priority of each traffic protection facility can be scientifically determined.

[0066] In an optional embodiment, after optimizing the initial maintenance plan of the first traffic protection facility according to the multi-dimensional facility portrait and the facility association network map, the method further includes: integrating the emergency maintenance tasks, slope reinforcement plans or traffic flow diversion facility addition plans, special inspection tasks, and connector replacement plans into a maintenance optimization instruction, and outputting a digital twin-driven visual maintenance path chart, where the visual maintenance path chart includes a maintenance association path marked with the first traffic protection facility, the sixth traffic protection facility, and the seventh traffic protection facility based on geographical location, a maintenance task list arranged according to the priority of the target execution order, the execution time limit of the emergency maintenance task, a schematic diagram of the structure of the high-risk node area, marking the bolt positions and weld areas that require special inspection, an implementation step diagram of the slope reinforcement plan or traffic flow diversion facility addition plan, an implementation step diagram of the connector replacement plan, the maintenance task list includes the emergency maintenance task and the execution time limit, and the target execution order includes the first execution order; associating the visual maintenance path chart with the multi-dimensional facility portrait and storing it in the traffic protection facility digital twin model, and synchronously updating the visual maintenance path chart to the risk annotation layer of the facility association network map.

[0067] In the above embodiments, an emergency maintenance task refers to a maintenance task that needs to be immediately processed due to exceeding a preset risk threshold in the facility risk feature table, and is usually related to key issues such as corrosion, deformation, or load-bearing of the facility. The slope reinforcement plan or the traffic flow diversion facility addition plan refers to specific maintenance measures formulated for traffic protection facilities with geological risk propagation or traffic load chain effects. The former is used to enhance the stability of the slope, and the latter is used to optimize traffic flow and reduce the load pressure on the facilities. The special inspection task is used to conduct a detailed inspection of high-risk node areas, including bolt tightening inspection, weld flaw detection, buffer structure deformation measurement, etc., to ensure the structural integrity and safety of the facilities. The connector replacement plan refers to a connector replacement plan formulated for traffic protection facilities with the same design type and the same type of accident inducement, aiming to prevent accidents caused by aging or damage of the connectors. The maintenance optimization instruction is a comprehensive instruction set that integrates all the above maintenance tasks, plans, and measures, providing clear guidance and direction for subsequent maintenance work. The visual maintenance path chart is a chart based on geographical location, marking the maintenance association paths between traffic protection facilities, showing a list of maintenance tasks arranged in the order of target execution, as well as key information such as the execution time limit of emergency maintenance tasks and the structural schematic diagram of high-risk node areas. The target execution order refers to the execution order determined according to the urgency and importance of maintenance tasks, where the first execution order represents the highest priority. The risk annotation layer is a layer (such as a layer) in the facility association network map, used to annotate and display the risk information and status of traffic protection facilities.

[0068] In the above embodiments, to efficiently manage and execute the maintenance tasks of traffic protection facilities, all relevant maintenance tasks and plans are collected and sorted out, including emergency maintenance tasks (such as replacing severely corroded components, strengthening structures with excessive deformation, etc.), slope reinforcement plans (such as adding anchor bolts, strengthening soil masses, etc.), plans for adding traffic flow diversion facilities (such as adding traffic signs, optimizing signal light control, etc.), special inspection tasks (such as bolt tightening inspection, weld flaw detection, etc.), and connection component replacement plans (such as replacing aging or damaged connection components). According to the urgency, importance, and interrelationships of these maintenance tasks and plans, a maintenance optimization instruction is formulated, which clarifies the specific content, execution time, responsible person, and required resources of each task and plan. The digital twin model of traffic protection facilities constructed using digital twin technology can reflect the actual operating status and performance parameters of the facilities in real time. According to the information in the maintenance optimization instruction, the geographical locations and maintenance association paths between the first traffic protection facility, the sixth traffic protection facility, and the seventh traffic protection facility are marked in the digital twin model of traffic protection facilities. According to the priority of the target execution order, the maintenance task list is arranged in the order of emergency maintenance tasks, other important tasks, and routine tasks, and the execution time limit of each task is marked in the chart. At the same time, the structural schematic diagram of the high-risk node area is also shown in the chart, the bolt positions and weld areas that require special inspection are marked, and the implementation step diagrams of the slope reinforcement plan, the plan for adding traffic flow diversion facilities, and the connection component replacement plan are provided to generate a visual maintenance path chart containing all the above information. The visual maintenance path chart can intuitively display the execution status of maintenance tasks and plans. Associating and storing the visual maintenance path chart with the multi-dimensional facility portrait in the digital twin model of traffic protection facilities allows the real-time operating status of traffic protection facilities and the execution status of maintenance tasks to be viewed simultaneously in the digital twin model of traffic protection facilities. The visual maintenance path chart is also synchronously updated to the risk annotation layer of the facility association network atlas, which can more clearly understand the association relationships and risk distributions between traffic protection facilities, providing more comprehensive information support for subsequent maintenance and management. By implementing the above steps, the comprehensive management and tracking of facility maintenance tasks are realized, and the efficiency and accuracy of maintenance work are improved.

[0069] Through the embodiments of the present application, an initial maintenance plan is quickly formed using a preset basic database, and an accurate digital twin model of traffic protection facilities is established by periodically collecting multi-dimensional data. By adding an environment association field in the digital twin model of traffic protection facilities, a multi-dimensional facility portrait containing rich on-site information can be constructed, thereby providing a solid foundation for subsequent analysis. The multi-dimensional facility portrait, combined with the facility association network atlas, can comprehensively consider the mutual influences between facilities, thereby optimizing the initial maintenance plan in a targeted manner to ensure the efficiency and accuracy of maintenance work.

[0070] It should be noted that the above-described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments.

[0071] The embodiments of the present application provide a construction process of a digital twin model for traffic protection facilities, including the following steps: 1. Multi-dimensional data collection and feature extraction Physiological state data such as the inclination of guardrail columns (accuracy up to 0.01°), the compressive deformation of anti-collision pads (±1 mm), and micro-cracks in concrete structures (resolution 50 μm) are collected in real time through a distributed optical fiber sensing network. The ultrasonic wind speed and direction data (sampling frequency 10 Hz) of the meteorological monitoring station, the vehicle-mounted GPS trajectory data (positioning accuracy 0.5 m), and the traffic flow detection data based on deep learning of the video monitoring system (counting error <2%) are synchronously integrated. The wavelet packet decomposition technology is used to extract the characteristic frequencies of the facility vibration signal (in the range of 0.1 - 500 Hz), and a facility health state matrix containing 32-dimensional feature vectors is established.

[0072] 2. Facility component-level model splitting The traffic protection facilities are decomposed into 12 types of standard components such as columns, crossbeams, and connectors. An independent digital twin is established for each component, including a material constitutive relation model (for example, the elastoplastic equation of steel), an environmental erosion model (the exponential relation between salt fog concentration and corrosion rate), and a load transfer model (the finite element simulation template for vehicle collision energy absorption).

[0073] 3. Multi-physical field parameter coupling Construct a cross-mapping network of material properties - environmental factors - mechanical responses: 1) Steel strength environmental correction relationship The adjusted yield strength of steel is equal to its standard value multiplied by the product of the temperature influence factor and the humidity influence factor. The calculation method of the temperature influence factor is: based on 20°C, the strength decreases by 0.35% for every 1°C increase; the humidity influence factor is inversely proportional to the 0.8th power of the relative humidity. Specifically, for every 1 unit increase in relative humidity, the strength reduction coefficient decreases by 0.015 times the 0.8th power of the humidity value.

[0074] 2) Wind vibration response relationship The vibration amplitude of the guardrail is non-linearly positively correlated with the wind speed. The value of the guardrail vibration amplitude is dominated by the 1.8th power of the wind speed and is restricted by the exponential decay term. Specifically, when the wind speed is in the normal range (0 - 20 m / s), the vibration amplitude increases in a power-law manner with the increase of the wind speed; when the wind speed exceeds the critical value (about 15 m / s), the influence of the exponential term causes the increase rate to slow down.

[0075] 3) Traffic load accumulation relationship The rate of change of the internal stress of the facility over time is proportional to the 1.2th power of the traffic flow density and the 0.8th power of the average vehicle speed. This relationship indicates that during peak hours (traffic flow density > 50 vehicles / km) and when the vehicle speed > 60 km / h, the stress accumulation rate will exhibit a superlinear growth characteristic, which has a decisive impact on evaluating the fatigue life of the facility.

[0076] 4. Spatiotemporal dynamic mapping mechanism Adopt carrier phase differential positioning technology to establish the facility spatial coordinate system, and achieve millisecond-level data synchronization through a 5G private network. Develop a four-dimensional spatiotemporal coding rule to bind and store the state changes of each traffic protection facility with UTC (Coordinated Universal Time) timestamps (accurate to milliseconds), geographical coordinates (e.g., WGS84 coordinate system, etc.), and environmental parameters (e.g., temperature, humidity, salinity, etc.) to form a traceable state evolution chain.

[0077] 5. Model verification and calibration Set up a benchmark verification field on a typical section, use an impact hammer test (energy level 50 J - 500 J) to excite the vibration response of the facility, and collect the actual vibration spectrum through a laser Doppler vibrometer (resolution 0.1 μm / s). Compare the prediction results of the digital twin model (error < 8%), and inversely correct the material damping coefficient (coefficient adjustment range 0.02 - 0.05). Establish a historical accident playback mechanism, input real collision data (e.g., vehicle speed 72 km / h, collision angle 35°, etc.) into the digital twin model, and verify the accuracy of the anti-collision level prediction (e.g., compliance rate > 92%, etc.).

[0078] 6. Self-optimizing iteration mechanism Develop a double-loop update strategy: Fast loop (e.g., 5-minute cycle, etc.): Update dynamic parameters such as traffic flow, environmental temperature and humidity, etc.; Deep loop (e.g., 24-hour cycle, etc.): Correct the material constitutive model parameters according to the X-ray diffraction analysis results; Automatically trigger model recalibration after maintenance, obtain weld quality data through a pulsed eddy current detector (sensitivity 0.5 mm defect identification), and update the prediction curve of the fatigue life of the connector (curve slope adjustment ±5%).

[0079] It should also be noted that the illustrative examples of the actual values of the above various parameters are only an exemplary embodiment, and the illustrative examples of the actual values of various parameters are not limited to the above examples. The construction process of the above digital twin model of traffic protection facilities is only an exemplary embodiment, and the construction process of the digital twin model of traffic protection facilities is not limited to the above examples.

[0080] The electronic device in the embodiment of the present invention application will be described from the perspective of hardware processing. Refer to Figure 2 , Figure 2 which is a schematic structural diagram of an entity device of the electronic device in the embodiment of the present application.

[0081] It should be noted that Figure 2 the structure of the electronic device shown is only an example and should not impose any restrictions on the functions and usage scope of the embodiments of the present invention.

[0082] As Figure 2 shown, the electronic device includes a Central Processing Unit (CPU) 201, which can perform various appropriate actions and processes according to the program stored in the Read-Only Memory (ROM) 202 or the program loaded from the storage section 208 into the Random Access Memory (RAM) 203, such as executing the method described in the above embodiments. In the RAM 203, various programs and data required for system operation are also stored . The CPU 201, ROM 202, and RAM 203 are connected to each other via a bus 204. An Input / Output (I / O) interface 205 is also connected to the bus 204.

[0083] The following components are connected to the I / O interface 205: an input section 206 including an audio input device, a button switch, etc.; an output section 207 including a Liquid Crystal Display (LCD), an audio output device, an indicator light, etc.; a storage section 208 including a hard disk, etc.; and a communication section 209 including a network interface card such as a LAN (Local Area Network) card, a modem, etc. The communication section 209 performs communication processing via a network such as the Internet. A drive 210 is also connected to the I / O interface 205 as required. A removable medium 211, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 210 as required so that the computer program read from it can be installed into the storage section 208 as required.

[0084] In particular, according to an embodiment of the present invention, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, an embodiment of the present invention includes a computer program product that includes a computer program carried on a computer-readable medium, and the computer program includes a computer program for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through the communication section 209, and / or installed from the removable medium 211. When the computer program is executed by the central processing unit (CPU) 201, various functions defined in the present invention are executed.

[0085] It should be noted that specific examples of computer-readable storage media may include, but are not limited to: electrical connections with one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), flash memory, optical fibers, portable compact disc read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the above. In the present invention, a computer-readable storage medium can be any tangible medium that contains or stores a program, and the program can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0086] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architectures, functions, and operations of systems, methods, and computer program products according to various embodiments of the present invention. Among them, each block in the flowchart or block diagram may represent a module, a program segment, or a part of code, and the above-mentioned module, program segment, or part of code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than that marked in the accompanying drawings.

[0087] Specifically, the electronic device of this embodiment includes a processor and a memory, and a computer program is stored on the memory. When the computer program is executed by the processor, the traffic protection facility maintenance plan optimization method provided in the above embodiment is implemented.

[0088] As another aspect, the present invention also provides a computer-readable storage medium. This storage medium may be included in the electronic device described in the above embodiments; or it may exist alone without being assembled into the electronic device. The above storage medium carries one or more computer programs. When the above one or more computer programs are executed by a processor of the electronic device, the electronic device implements the traffic protection facility maintenance plan optimization method provided in the above embodiments.

[0089] As described above, the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them; those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the various embodiments of the present application.

[0090] Those of ordinary skill in the art can understand all or part of the processes in the above embodiments of the method. This process can be completed by hardware instructed by a computer program. The program can be stored in a computer-readable storage medium. When the program is executed, it can include the processes of the above method embodiments. The foregoing storage medium includes: various media such as ROM or random access memory RAM, magnetic disk, or optical disk that can store program codes.

Claims

1. A method for optimizing the maintenance plan of traffic protection facilities, characterized in that Including: When receiving a facility maintenance instruction, determining an initial maintenance plan for the first traffic protection facility according to a preset basic database, where the preset basic database includes the geographical location, material type, design life, and design type of the first traffic protection facility; Collecting data on the damage degree, usage frequency, and environmental impact factor of the first traffic protection facility at a preset cycle; Establishing a digital twin model of the traffic protection facility based on the geographical location, material type, design life, design type, damage degree data, usage frequency data, and environmental impact factor data; Adding an environmental association field to the digital twin model of the traffic protection facility to construct a multi-dimensional facility portrait driven by digital twin, where the multi-dimensional facility portrait is used to record the weather characteristics, geological conditions, traffic flow patterns, and historical accidents of the section where the first traffic protection facility is located; Constructing a digital twin-driven facility association network map of the first traffic protection facility based on the digital twin model of the traffic protection facility with the added environmental association field; Optimizing the initial maintenance plan of the first traffic protection facility according to the multi-dimensional facility portrait and the facility association network map; 2. The method according to claim 1, wherein The adding an environmental association field to the digital twin model of the traffic protection facility to construct a multi-dimensional facility portrait driven by digital twin specifically includes: Obtaining historical weather data of the section where the first traffic protection facility is located and generating a weather characteristics field according to the historical weather data, where the weather characteristics field is used to store the types of extreme weather events and the duration of extreme weather within a first historical preset duration; Obtaining the geological condition parameters of the section where the first traffic protection facility is located and associating the geological condition parameters with the geographical location to generate a geological risk field, where the geological risk field is used to record the soil type, the fluctuation range of the groundwater level, the slope stability level, and the historical occurrence frequency of geological disasters; Obtaining the traffic flow statistics data of the section where the first traffic protection facility is located within a second historical preset duration and generating a traffic flow pattern field according to the traffic flow statistics data, where the traffic flow pattern field is used to mark the peak-hour flow peak, the proportion of heavy vehicles, and the average vehicle speed fluctuation range on the target date; Obtaining the historical accident records associated with the section where the first traffic protection facility is located and generating a historical accident field according to the historical accident records, where the historical accident field is used to record the accident type, the degree of accident casualties, the direct cause of the accident, and the location information of the damaged part of the facility; Adding the weather characteristics field, the geological risk field, the traffic flow pattern field, and the historical accident field to the digital twin model of the traffic protection facility, where the environmental association field includes the weather characteristics field, the geological risk field, the traffic flow pattern field, and the historical accident field; Obtain the multi-dimensional facility portrait constructed by the digital twin model of the traffic protection facility according to the weather feature field, the geological risk field, the traffic flow pattern field, and the historical accident field.

3. The method according to claim 2, characterized in that The obtaining of the multi-dimensional facility portrait constructed by the digital twin model of the traffic protection facility according to the weather feature field, the geological risk field, the traffic flow pattern field, and the historical accident field specifically includes: Use the digital twin model of the traffic protection facility to perform the following operations: The digital twin model of the traffic protection facility determines the physical characteristic parameters of the first traffic protection facility, where the physical characteristic parameters include material corrosion rate, stress deformation threshold, facility vibration frequency, design bearing capacity, and structural node distribution information; the digital twin model of the traffic protection facility performs corrosion analysis on the extreme weather event type in the weather feature field and the material corrosion rate to establish a corrosion risk association relationship; the digital twin model of the traffic protection facility performs deformation analysis on the slope stability level in the geological risk field and the stress deformation threshold to establish a deformation risk association relationship; the digital twin model of the traffic protection facility performs bearing analysis on the peak traffic flow value during the peak period in the traffic flow pattern field and the design bearing capacity to establish a traffic bearing association relationship; the digital twin model of the traffic protection facility performs spatial overlay analysis on the facility damage location information in the historical accident field and the structural node distribution information to generate high-risk node area annotation information; the digital twin model of the traffic protection facility generates a material property attenuation report according to the design life and the environmental impact factors; the digital twin model of the traffic protection facility constructs a multi-dimensional facility portrait according to the corrosion risk association relationship, the deformation risk association relationship, the traffic bearing association relationship, the high-risk node area annotation information, and the material property attenuation report; Obtain the multi-dimensional facility portrait output by the digital twin model of the traffic protection facility.

4. The method according to claim 2, characterized in that, The construction of the digital twin-driven facility association network graph of the first traffic protection facility according to the digital twin model of the traffic protection facility with an additional environmental association field specifically includes: Perform spatial proximity grouping on the second traffic protection facility adjacent to the geographical location of the traffic protection facility according to the preset geographical proximity rule to establish a spatial association relationship between the first traffic protection facility and the second traffic protection facility; Classify and match the first traffic protection facility and the second traffic protection facility according to the material type and design type to generate a facility type association table, where the facility type association table is used to record the relevance between the third traffic protection facilities with the same material type and / or design type, and the third traffic protection facilities include the first traffic protection facility and the second traffic protection facility; Generate a risk propagation path table based on the historical occurrence frequency of geological disasters in the geological risk field, where the risk propagation path table is used to identify the geological risk propagation relationship between adjacent fourth traffic protection facilities, and the fourth traffic protection facilities include the first traffic protection facility and the second traffic protection facility; Establish an inter-segment traffic load association table based on the peak traffic volume during peak hours and the proportion of heavy vehicles in the traffic flow pattern field, where the inter-segment traffic load association table is used to reflect the chain effect of traffic flow pressure on adjacent fifth traffic protection facilities, and the fifth traffic protection facilities include the first traffic protection facility and the second traffic protection facility; Compare the direct accident causes in the historical accident field with the facility type association table to generate an accident cause - facility type mapping relationship table; Input the spatial association relationship, the facility type association table, the risk propagation path table, the traffic load association table, and the accident cause - facility type mapping relationship table into the digital twin model of the traffic protection facility with an additional environmental association field to construct the facility association network graph of the first traffic protection facility.

5. The method according to claim 1, wherein In the case of receiving a facility maintenance instruction, determine the initial maintenance plan for the first traffic protection facility according to the preset basic database, specifically including: Query the basic maintenance item list corresponding to the section where the first traffic protection facility is located from the preset section maintenance standard table according to the geographical location; Match the material maintenance requirements of the first traffic protection facility from the preset material maintenance rule library according to the material type; Compare the design life with the preset maintenance time threshold to trigger the life - expired maintenance task of the first traffic protection facility; Associate the preset design maintenance specification library according to the design type to determine the design maintenance content of the first traffic protection facility; Integrate the basic maintenance item list, material maintenance requirements, life - expired maintenance tasks, and design maintenance content to generate the initial maintenance requirement list of the first traffic protection facility, where the initial maintenance plan includes the initial maintenance requirement list.

6. The method according to any one of claims 1-5, characterized in that Optimize the initial maintenance plan for the first traffic protection facility according to the multi - dimensional facility portrait and the facility association network graph, specifically including: Generate a facility risk feature table based on the corrosion risk association relationship, deformation risk association relationship, traffic load association relationship, and high - risk node area annotation information in the multi - dimensional facility portrait, where the facility risk feature table includes N corrosion levels, M deformation amplitudes, and Q load capacity data items, and N, M, and Q are all positive integers greater than or equal to 1; Select the sixth traffic protection facilities that have geological risk propagation or traffic load chain effect with the first traffic protection facility according to the risk propagation path table and the traffic load association table in the facility association network graph, and add the corresponding slope reinforcement plan or traffic flow diversion facility addition plan of the sixth traffic protection facility to the initial maintenance requirement list; Mark the first corrosion level, the first deformation amplitude, and the first load-bearing capacity data items in the facility risk feature table that exceed the preset risk threshold as emergency maintenance tasks according to the preset priority adjustment rule, and raise the current execution order of the emergency maintenance tasks to the first execution order in the initial maintenance requirement list, where the preset priority adjustment rule includes the preset risk threshold, the N corrosion levels include the first corrosion level, the M deformation amplitudes include the first deformation amplitude, the Q load-bearing capacity data items include the first load-bearing capacity data item, and the priority of the first execution order is higher than the priority of the current execution order; Add a special inspection task for the structural nodes to the initial maintenance requirement list according to the high-risk node area annotation information, where the special inspection task includes bolt fastening inspection, weld flaw detection, and buffer structure deformation measurement; Screen out the seventh traffic protection facility with the same design type as the first traffic protection facility and the same type of accident cause according to the facility type association table and the accident cause-facility type mapping relationship table, and add the connector replacement plan corresponding to the seventh traffic protection facility to the initial maintenance requirement list.

7. The method according to claim 6, characterized in that, After optimizing the initial maintenance plan of the first traffic protection facility according to the multi-dimensional facility portrait and the facility association network graph, the method further includes: Integrate the emergency maintenance task, the slope reinforcement plan or the traffic flow diversion facility addition plan, the special inspection task, and the connector replacement plan into a maintenance optimization instruction, and output a digital twin-driven visual maintenance path chart, where the visual maintenance path chart includes the maintenance association path of the first traffic protection facility, the sixth traffic protection facility, and the seventh traffic protection facility marked based on the geographical location, the maintenance task list arranged according to the priority of the target execution order, the execution time limit of the emergency maintenance task, the structural schematic diagram of the high-risk node area, the marked positions of the bolts and the weld areas that require special inspection, the implementation step diagram of the slope reinforcement plan or the traffic flow diversion facility addition plan, and the implementation step diagram of the connector replacement plan. The maintenance task list includes the emergency maintenance task and the execution time limit, and the target execution order includes the first execution order; Associate and store the visual maintenance path chart with the multi-dimensional facility portrait in the traffic protection facility digital twin model, and synchronously update the visual maintenance path chart to the risk annotation layer of the facility association network graph.

8. An electronic device, characterized in that, The electronic device includes: one or more processors and a memory; the memory is coupled to the one or more processors, the memory is used to store computer program code, the computer program code includes computer instructions, and the one or more processors call the computer instructions to cause the electronic device to execute the method according to any one of claims 1-7.

9. A computer-readable storage medium, comprising instructions, characterized in that, When the instruction runs on an electronic device, the electronic device is caused to execute the method according to any one of claims 1-7.

10. A computer program product, characterized in that, When the computer program product runs on an electronic device, the electronic device is caused to execute the method according to any one of claims 1-7.

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