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

Abstract

The present application provides a method, device, medium, and product for optimizing a maintenance plan for traffic protection facilities, and relates to the technical field of traffic protection facility detection. The method comprises: upon receiving a facility maintenance instruction, determining an initial maintenance plan for the traffic protection facilities based on a preset basic database; collecting damage degree data, usage frequency data, and environmental impact factor data of the traffic protection facilities according to a preset period; establishing a digital twin model of the traffic protection facilities based on the preset basic database and the three data; adding an environmental association field to the digital twin model to construct a multi-dimensional facility portrait; constructing a facility association network map of the traffic protection facilities based on the digital twin model with the added field; and optimizing the initial maintenance plan based on the multi-dimensional facility portrait and the facility association network map. The method solves the technical problem of low maintenance accuracy of traffic protection facilities in related technologies, and achieves the technical effect of improving the maintenance accuracy of traffic protection facilities.

Description

Technical Field

[0001] The present application relates to the technical field of traffic protection facility detection, and in particular to a method, equipment, medium and product for optimizing a maintenance plan for traffic protection facilities. Background Art

[0002] With the acceleration of urbanization and the continuous improvement of transportation networks, the maintenance and management of traffic protection facilities, as crucial infrastructure for ensuring road traffic safety, has become increasingly important. Traffic protection facilities, including guardrails, crash cushions, road markings, signboards, and other types, are distributed throughout cities, fulfilling the important role of protecting pedestrians and vehicles.

[0003] In related technologies, the maintenance and management of traffic protection facilities typically relies on manual inspections and scheduled maintenance. Specifically, traffic management departments arrange for professionals to regularly inspect traffic protection facilities for damage or safety hazards, and formulate maintenance plans based on the inspection results. Maintenance plans typically include maintenance time, maintenance content, and maintenance personnel to ensure that maintenance work is carried out in an orderly manner.

[0004] However, the above-mentioned manual inspection method is subject to subjectivity and uncertainty. The experience level and sense of responsibility of the inspectors directly affect the accuracy and reliability of the inspection results. In addition, the regular maintenance method often lacks specificity and flexibility, and cannot be adjusted in time according to the actual conditions and maintenance needs of the traffic protection facilities, which leads to a low maintenance accuracy rate of traffic protection facilities in related technologies. Summary of the Invention

[0005] The present application provides a method, equipment, medium and product for optimizing the maintenance plan of traffic protection facilities, which are used to improve the maintenance accuracy of traffic protection facilities.

[0006] In the 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, and the method includes: upon receiving a facility maintenance instruction, determining an initial maintenance plan for a first traffic protection facility based on a preset basic database, wherein the preset basic database includes the geographical location, material type, design life, and design type of the first traffic protection facility; collecting damage degree data, usage frequency data, and environmental impact factor data of the first traffic protection facility according to a preset period; 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 environment-related field to the digital twin model of the traffic protection facility to construct a digital twin-driven multi-dimensional facility portrait, wherein the multi-dimensional facility portrait is used to record the weather characteristics, geological conditions, traffic flow patterns, and historical accidents of the road 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 environment-related field; and optimizing the initial maintenance plan of the first traffic protection facility based on 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 a preset basic database, and an accurate digital twin model of traffic protection facilities can be established by periodically collecting multidimensional data. By adding environmental association fields to the digital twin model of traffic protection facilities, a multidimensional facility portrait containing rich on-site information can be constructed, thus providing a solid foundation for subsequent analysis. The multidimensional facility portrait, combined with the facility association network map, can fully consider the mutual influence between facilities, thereby carrying out targeted optimization of the initial maintenance plan and ensuring the efficiency and accuracy of maintenance work. This solves the technical problem of low maintenance accuracy of traffic protection facilities in related technologies and achieves the technical effect of improving the maintenance accuracy of traffic protection facilities.

[0008] Optionally, an environmental association field is added to the digital twin model of the traffic protection facility to construct a multi-dimensional facility portrait driven by a digital twin, specifically including: obtaining historical weather data of the road section where the first traffic protection facility is located, and generating a weather characteristic field based on the historical weather data, wherein the weather characteristic field is used to store the type of extreme weather events and the duration of extreme weather within a first historical preset time period; obtaining geological condition parameters of the road 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, wherein the geological risk field is used to record soil type, groundwater level fluctuation range, slope stability grade and historical frequency of geological disasters; obtaining traffic flow statistics of the road section where the first traffic protection facility is located within a second historical preset time period, and generating a traffic flow pattern field based on the traffic flow statistics. In the traffic flow pattern field, the traffic flow peak, the proportion of heavy vehicles, and the average speed fluctuation range during the peak period within the target date are marked; the historical accident records associated with the road section where the first traffic protection facility is located are obtained, and the historical accident field is generated based on the historical accident records, wherein the historical accident field is used to record the type of accident, the degree of accident casualties, the direct cause of the accident, and the location information of the damaged part of the facility; weather characteristic fields, geological risk fields, traffic flow pattern fields, and historical accident fields are added to the digital twin model of traffic protection facilities, wherein the environment-related fields include weather characteristic fields, geological risk fields, traffic flow pattern fields, and historical accident fields; a multi-dimensional facility portrait constructed by the digital twin model of traffic protection facilities based on weather characteristic fields, geological risk fields, traffic flow pattern fields, and historical accident fields is obtained.

[0009] By implementing this technical solution, comprehensive environmental context fields were generated based on historical weather, geological conditions, traffic flow patterns, and accident records for the road section where the primary traffic protection facility is located. The addition of these context fields enables the digital twin model of the traffic protection facility to more accurately reflect the facility's status in the real world, providing critical data support for subsequent risk analysis and maintenance plan optimization.

[0010] Optionally, a multi-dimensional facility portrait constructed by the digital twin model of traffic protection facilities based on the weather characteristic field, geological risk field, traffic flow pattern field, and historical accident field is obtained, specifically including: 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, wherein 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 characteristic field and the material corrosion rate to establish a corrosion risk correlation relationship; the digital twin model of traffic protection facilities performs deformation analysis on the slope stability grade in the geological risk field and the stress deformation threshold to Establish a deformation risk correlation relationship; the digital twin model of traffic protection facilities conducts a load analysis on the peak traffic flow peak in the traffic flow pattern field and the design bearing capacity to establish a traffic bearing correlation relationship; the digital twin model of traffic protection facilities conducts a spatial overlay analysis on the location information of damaged facilities 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 degradation report based on the design life and environmental influencing factors; the digital twin model of traffic protection facilities constructs a multi-dimensional facility portrait based on the corrosion risk correlation relationship, deformation risk correlation relationship, traffic bearing correlation relationship, high-risk node area annotation information and material performance degradation report; obtain the multi-dimensional facility portrait output by the digital twin model of traffic protection facilities.

[0011] By implementing these technical solutions, a digital twin model provides in-depth analysis of the physical characteristics of primary traffic protection facilities and the potential impact of environmental factors. Corrosion, deformation, and load-bearing analyses reveal the risk level of traffic protection facilities in different environments, while spatial overlay analysis quickly locates high-risk nodes and areas. These analysis results, combined with material performance degradation reports, form a multi-dimensional portrait of the facilities, providing a scientific basis for optimizing subsequent maintenance plans.

[0012] Optionally, a facility association network map driven by the digital twin of the first traffic protection facility is constructed based on the digital twin model of the traffic protection facility with the added environment association field, specifically including: spatially grouping the second traffic protection facilities that are geographically adjacent to the traffic protection facility according to preset geographic proximity rules 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 material type and design type to generate a facility type association table, wherein the facility type association table is used to record the association between third traffic protection facilities with the same material type and / or design type, and the third traffic protection facility includes the first traffic protection facility and the second traffic protection facility; generating a risk propagation path table based on the historical frequency of geological disasters in the geological risk field, wherein the risk propagation path table is used to identify adjacent first traffic protection facilities and the second traffic protection facilities. The geological risk propagation relationship between the four traffic protection facilities, the fourth traffic protection facility includes the first traffic protection facility and the second traffic protection facility; according to the peak traffic flow peak and the proportion of heavy vehicles in the traffic flow pattern field, a traffic load association table between road sections is established, wherein the traffic load association table between road sections is used to reflect the chain effect of traffic pressure on the adjacent fifth traffic protection facility, the fifth traffic protection facility includes the first traffic protection facility and the second traffic protection facility; the direct cause of the accident in the historical accident field is compared with the facility type association table to generate an accident cause-facility type mapping relationship table; the spatial association relationship, facility type association table, risk propagation path table, traffic load association table and accident cause-facility type mapping relationship table are input into the digital twin model of the traffic protection facility with the added environmental association field to construct a facility association network map of the first traffic protection facility.

[0013] By employing the above technical solutions, and by applying geographic proximity rules, matching material types and design styles, and analyzing geological hazards and traffic loads, a network diagram of the connections between traffic protection facilities (i.e., a facility connection network diagram) can be constructed. This network diagram not only reveals the physical connections between traffic protection facilities but also reflects the mutual influence between them under different risk scenarios. This provides a global perspective for subsequent maintenance plan optimization and helps develop more comprehensive and effective maintenance strategies.

[0014] Optionally, upon receiving a facility maintenance instruction, an initial maintenance plan for the first traffic protection facility is determined based on a preset basic database, specifically including: querying a list of basic maintenance items corresponding to the road section where the first traffic protection facility is located from a preset road section maintenance standard table based on the geographical location; matching the material maintenance requirements of the first traffic protection facility from a preset material maintenance rule library based on the material type; comparing the design life with a preset maintenance time threshold to trigger the life-expiration maintenance task of the first traffic protection facility; associating the preset design maintenance specification library based on the design type to determine the design maintenance content of the first traffic protection facility; integrating the basic maintenance item list, material maintenance requirements, life-expiration maintenance tasks and design maintenance content to generate an initial maintenance requirement list for the first traffic protection facility, wherein the initial maintenance plan includes the initial maintenance requirement list.

[0015] By employing this technical solution, we rapidly generated an initial maintenance plan for primary traffic protection facilities using a pre-defined database. This plan takes into account multiple factors, including location, material type, design life, and design type, ensuring a comprehensive and targeted maintenance plan. This initial maintenance requirements list provides clear optimization targets and directions for subsequent optimization processes.

[0016] Optionally, the initial maintenance plan for 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 characteristic 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, wherein the facility risk characteristic table includes N corrosion levels, M deformation amplitudes, and Q load bearing 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 transmission or traffic load chain effects with the first traffic protection facility according to the risk propagation path table and the traffic load association table in the facility association network map, and adding the slope reinforcement plan or traffic diversion facility addition plan corresponding to the sixth traffic protection facility to the initial maintenance requirement list; adjusting the first corrosion level, first deformation amplitude, and first traffic load in the facility risk characteristic table that exceed the preset risk threshold according to the preset priority adjustment rules. A load-bearing data item is marked as an emergency maintenance task, and the current execution order of the emergency maintenance task is promoted to the first execution order in the initial maintenance requirement list, wherein 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, and the Q load-bearing data items include the first load-bearing data item, and the priority of the first execution order is higher than the priority of the current execution order; according to the high-risk node area marking information, a special inspection task for the structural node is added to the initial maintenance requirement list, wherein the special inspection tasks include bolt tightening inspection, weld flaw detection, and buffer structure deformation measurement; according to the facility type association table and the accident cause-facility type mapping relationship table, the seventh traffic protection facility with the same design type as the first traffic protection facility and the same accident cause is screened out, and the corresponding connector replacement plan of the seventh traffic protection facility is added to the initial maintenance requirement list.

[0017] By implementing these technical solutions, initial maintenance plans can be comprehensively optimized based on multi-dimensional facility profiles and facility-related network maps. The generation of facility risk profiles helps identify key risk points, while chain effect analysis of geological risks and traffic loads ensures a comprehensive and forward-looking maintenance plan. The marking of urgent maintenance tasks and the adjustment of their execution sequence improve the speed and efficiency of maintenance response. The addition of specialized inspection tasks and connector replacement plans further enhances the targetedness and effectiveness of maintenance plans.

[0018] Optionally, after optimizing the initial maintenance plan of the first traffic protection facility based on the multi-dimensional facility portrait and the facility-associated network map, the method further includes: integrating emergency maintenance tasks, slope reinforcement plans or traffic 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, wherein the visual maintenance path chart includes a maintenance-associated path for the first traffic protection facility, the sixth traffic protection facility, and the seventh traffic protection facility marked based on geographic 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 structural diagram of the high-risk node area, marking of bolt positions and weld areas requiring special inspection, an implementation step diagram of the slope reinforcement plan or traffic diversion facility addition plan, and an implementation step diagram of the connector replacement plan, the maintenance task list includes emergency maintenance tasks and execution time limits, and the target execution order includes the first execution order; the visual maintenance path chart is associated with the multi-dimensional facility portrait and stored in the traffic protection facility digital twin model, and the visual maintenance path chart is synchronously updated to the risk annotation layer of the facility-associated network map.

[0019] By implementing the above technical solution, after the optimization process is completed, maintenance tasks are integrated into clear maintenance optimization instructions and an intuitive visual maintenance path diagram is output. The visual maintenance path diagram not only marks the maintenance associated paths and priority rankings, but also includes detailed implementation step diagrams and structural schematics, providing powerful guidance for on-site maintenance work. At the same time, the visual maintenance path diagram is associated with the multi-dimensional facility portrait and stored in the digital twin model, and synchronously updated to the risk annotation layer of the facility-related network map. This not only ensures the real-time and consistency of information, but also provides strong support for subsequent analysis and decision-making.

[0020] In a second aspect, an embodiment of the present application provides an electronic device, comprising: 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 enable the electronic device to execute the method described in the first aspect and any possible implementation method of the first aspect.

[0021] In a third aspect, an embodiment of the present application provides a computer program product comprising instructions, which, when the computer program product is run on an electronic device, enables the electronic device to execute the method described in the first aspect and any possible implementation of the first aspect.

[0022] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium comprising instructions. When the instructions are executed on an electronic device, the electronic device executes the method described in the first aspect and any possible implementation of the first aspect.

[0023] One or more technical solutions provided in the embodiments of this application have at least the following technical effects or advantages:

[0024] 1. The traffic protection facility maintenance plan optimization method provided in this application uses a preset basic database to quickly form an initial maintenance plan, and establishes an accurate digital twin model of traffic protection facilities by periodically collecting multi-dimensional data. By adding environmental association fields to the digital twin model of traffic protection facilities, a multi-dimensional facility portrait containing rich on-site information can be constructed, thus providing a solid foundation for subsequent analysis. The multi-dimensional facility portrait combined with the facility association network map can fully consider the mutual influence between facilities, thereby performing targeted optimization of the initial maintenance plan to ensure the efficiency and accuracy of maintenance work.

[0025] 2. The traffic protection facility maintenance plan optimization method provided in this application generates comprehensive environmental context fields based on historical weather, geological conditions, traffic flow patterns, and accident records for the road section where the first traffic protection facility is located. The addition of environmental context fields enables the traffic protection facility digital twin model to more accurately reflect the facility status in the actual environment, thereby providing critical data support for subsequent risk analysis and maintenance plan optimization.

[0026] 3. The traffic protection facility maintenance plan optimization method provided in this application uses a digital twin model to deeply analyze the physical characteristics of the primary traffic protection facility and the potential impact of environmental factors. Corrosion analysis, deformation analysis, and load-bearing analysis reveal the risk level of traffic protection facilities in different environments, while spatial overlay analysis can quickly locate high-risk node areas. These analysis results, along with material performance degradation reports, form a multi-dimensional facility portrait, providing a scientific basis for subsequent maintenance plan optimization. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 This is a flow chart of a method for optimizing a maintenance plan for traffic protection facilities according to an embodiment of the present application;

[0028] Figure 2 This is a schematic diagram of a physical device structure of an electronic device in an embodiment of the present application. DETAILED DESCRIPTION

[0029] The terms used in the following examples of this application are for the purpose of describing specific embodiments only and are not intended to limit the present application. For example, the singular expressions "a," "an," "said," "the," and "this" are intended to include plural expressions as well, unless the context clearly indicates otherwise. It should also be understood that the term "and / or" used in this application refers to any or all possible combinations of one or more of the listed items.

[0030] In the following, the terms "first" and "second" are used for descriptive purposes only and should not be understood to imply or suggest relative importance or implicitly indicate the number of the technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the embodiments of this application, unless otherwise specified, "plurality" means two or more.

[0031] This application provides a method for optimizing the maintenance plan of traffic protection facilities. Figure 1 , Figure 1 This is a flow chart of a method for optimizing a maintenance plan for traffic protection facilities according to an embodiment of the present application, which includes the following steps:

[0032] Step S101: upon receiving a facility maintenance instruction, determining an initial maintenance plan for a first traffic protection facility based on a preset basic database, wherein the preset basic database includes the geographical location, material type, design life, and design type of the first traffic protection facility;

[0033] Step S102: collecting damage degree data, usage frequency data, and environmental impact factor data of the first traffic protection facility according to a preset period;

[0034] Step S103: establishing a digital twin model of traffic protection facilities based on geographical location, material type, design life, design type, damage degree data, usage frequency data, and environmental impact factor data;

[0035] Step S104: Adding an environment-related field to the digital twin model of the traffic protection facility to construct a multi-dimensional facility portrait driven by the digital twin. The multi-dimensional facility portrait is used to record the weather characteristics, geological conditions, traffic flow patterns, and historical accidents of the road section where the first traffic protection facility is located.

[0036] Step S105: constructing a facility association network map driven by the digital twin of the first traffic protection facility based on the traffic protection facility digital twin model with the added environment association field;

[0037] Step S106: Optimize the initial maintenance plan of the first traffic protection facility based on the multi-dimensional facility portrait and the facility association network map.

[0038] In the above embodiment, the preset basic database means a database that has been pre-established and stores a large amount of basic information about traffic protection facilities. The basic information about traffic protection facilities includes but is not limited to the geographical location of the facility (used to locate the specific location of the facility), material type (for example, metal, plastic, concrete, etc., used to understand the durability and maintenance requirements of the facility), design life (the number of years that the traffic protection facility is expected to be able to operate normally), and design type (for example, guardrails, signs, traffic lights, etc., different types of facilities have different maintenance requirements). The initial maintenance plan refers to a maintenance plan and schedule for the first traffic protection facility that is preliminarily formulated based on the information in the preset basic database. The facility maintenance instruction represents a signal or command that triggers the formulation of a maintenance plan, which can come from the decision of the traffic management department or the automatic monitoring equipment of the traffic protection facility.

[0039] In the above embodiment, upon receiving a facility maintenance instruction from a traffic management department or automatic monitoring equipment, a preset basic database is accessed and an initial maintenance plan is automatically generated based on the basic information (e.g., geographic location, material type, design life, design type, etc.) of the traffic protection facility (corresponding to the first traffic protection facility) stored in the preset basic database. The initial maintenance plan includes basic information such as which facilities require maintenance, when maintenance should be performed, and the specific details of the maintenance. On a preset cycle (e.g., daily, weekly, monthly, etc., not limited here), sensors, monitoring equipment, etc. are used to collect damage data (e.g., crack width, degree of rust, etc.), usage frequency data (e.g., number of vehicle collisions, number of pedestrian touches, etc.), and environmental influencing factor data (e.g., temperature, humidity, wind speed, rainfall, etc.) of the first traffic protection facility.

[0040] In the above example, assume that a city's traffic management department needs to implement intelligent maintenance management for traffic protection facilities on a major highway. These facilities include, but are not limited to, guardrails, signs, and traffic lights. To develop a more accurate and efficient maintenance plan, the department collects detailed information on all traffic protection facilities on the highway, including, but not limited to, their geographic location (e.g., longitude and latitude coordinates), material type (e.g., metal, plastic, concrete), design life (e.g., 3 years, 5 years, 10 years), and design type (e.g., guardrails, signs, traffic lights). Based on this detailed information, a pre-set basic database is generated, serving as the foundation for subsequent modeling and maintenance planning. Sensors and monitoring equipment installed on (and around) the traffic protection facilities collect data on damage (e.g., crack width, rust level), usage frequency (e.g., number of vehicle strikes, number of pedestrian touches), and environmental factors (e.g., temperature, humidity, wind speed, rainfall), at pre-set intervals (e.g., semi-daily, daily, weekly, etc.). This data is transmitted to the data center via wireless network for storage and used for subsequent digital twin model establishment and maintenance plan optimization.

[0041] In the above-described embodiment, a digital twin model of traffic protection facilities is established based on detailed information in a pre-set basic database and real-time collected data. This digital twin model not only includes basic information such as the facility's geometry and material, but also uses data-driven simulation to simulate the operational status and damage of traffic protection facilities in real environments. The digital twin model includes additional environmental fields to record information such as weather characteristics (e.g., temperature, humidity, rainfall), geological conditions (e.g., soil type, terrain slope), traffic flow patterns (e.g., peak hours, average speed), and historical accidents (e.g., accident type, time of occurrence, and impact area) for the road section where the traffic protection facilities are located. This allows the digital twin model to more comprehensively and accurately reflect the actual operating environment and status of traffic protection facilities. Based on the digital twin model with added environmental association fields, the traffic management department further constructed a digital twin-driven facility association network map of traffic protection facilities. This network map not only displays the physical connections between traffic protection facilities (for example, the relative positions of guardrails and signboards), but also reveals the functional connections and mutual influences between traffic protection facilities (for example, the impact of guardrail damage on traffic flow). Based on the multi-dimensional facility portraits and the network map, the initial maintenance plan was optimized. By implementing these steps, the maintenance plan was optimized based on the digital twin model of traffic protection facilities. This not only improved the efficiency and accuracy of maintenance work, but also reduced maintenance costs, providing a strong guarantee for road safety.

[0042] Through the above steps, an initial maintenance plan is quickly formed using a preset basic database, and by periodically collecting multidimensional data, an accurate digital twin model of traffic protection facilities is established. By adding environmental association fields to the digital twin model of traffic protection facilities, a multidimensional facility portrait containing rich on-site information can be constructed, providing a solid foundation for subsequent analysis. The multidimensional facility portrait, combined with the facility association network map, can fully consider the mutual influence between facilities, thereby enabling targeted optimization of the initial maintenance plan and ensuring the efficiency and accuracy of maintenance work. This solves the technical problem of low maintenance accuracy of traffic protection facilities in related technologies, achieving the technical effect of improving the maintenance accuracy of traffic protection facilities.

[0043] Among them, the executor 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 the device or system, or a separate controller or processor, or other processing devices or processing units with similar processing functions, etc., but not limited to these.

[0044] In an optional embodiment, an environmental association field is added to the digital twin model of the traffic protection facility to construct a multi-dimensional facility portrait driven by a digital twin, specifically including: obtaining historical weather data of the road section where the first traffic protection facility is located, and generating a weather characteristic field based on the historical weather data, wherein the weather characteristic field is used to store the type of extreme weather events and the duration of extreme weather within a first historical preset time period; obtaining geological condition parameters of the road 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, wherein the geological risk field is used to record soil type, groundwater level fluctuation range, slope stability grade and historical frequency of geological disasters; obtaining traffic flow statistics of the road section where the first traffic protection facility is located within a second historical preset time period, and generating a traffic flow pattern field based on the traffic flow statistics. Segment, where the traffic flow pattern field is used to mark the peak traffic flow peak, the proportion of heavy vehicles, and the average speed fluctuation range during the peak period within the target date; obtain the historical accident records associated with the road section where the first traffic protection facility is located, and generate the historical accident field based on the historical accident records, where the historical accident field is used to record the type of accident, the degree of accident casualties, the direct cause of the accident, and the location information of the damaged part of the facility; add weather characteristic fields, geological risk fields, traffic flow pattern fields, and historical accident fields to the digital twin model of traffic protection facilities, where the environment-related fields include weather characteristic fields, geological risk fields, traffic flow pattern fields, and historical accident fields; obtain the multi-dimensional facility portrait constructed by the digital twin model of traffic protection facilities based on the weather characteristic fields, geological risk fields, traffic flow pattern fields, and historical accident fields.

[0045] In the above embodiment, historical weather data for the road section where the first traffic protection facility is located is obtained, and a weather characteristic field is generated based on the historical weather data. The weather characteristic field represents the type of extreme weather events (e.g., heavy rain, blizzard, high temperature, etc.) and the duration of extreme weather events (e.g., the number of hours of heavy rain, blizzard, high temperature, etc.) within a first historical preset time period (e.g., the past 1 year, 3 years, 5 years, etc.). Geological condition parameters for the road section where the first traffic protection facility is located are obtained, and the geological condition parameters are associated with the geographic location to generate a geological risk field. The geological risk field is used to represent the soil type (e.g., clay, sand, rock, etc.), the range of groundwater level fluctuation (e.g., the difference between the highest and lowest water levels), the slope stability level (e.g., stable, relatively stable, unstable, etc.), and the historical frequency of geological disasters (e.g., the number of times landslides, mudslides, and other disasters have occurred in the past 1, 3, or 5 years, etc.).

[0046] In the above embodiment, traffic flow statistics for the road section where the first traffic protection facility is located are obtained within a second preset historical time period (e.g., the past six months, the past year, the past two years, etc.), and a traffic flow pattern field is generated based on the traffic flow statistics. The traffic flow pattern field is used to record peak traffic flow peaks (e.g., the maximum traffic flow during the morning rush hour, the maximum traffic flow during the afternoon rush hour, the maximum traffic flow during the evening rush hour, etc.), the proportion of heavy vehicles (e.g., the proportion of heavy vehicles to all vehicles, etc.), and the average speed fluctuation range (e.g., the average change in speed within a certain range, etc.) within a target date (e.g., a certain day of the week, a certain two days of the week, a certain two days of the month, etc.). Historical accident records associated with the road section where the first traffic protection facility is located are obtained, and a historical accident field is generated based on the historical accident records. The historical accident field is used to store the accident type (e.g., rear-end collision, rollover, collision, etc.), the degree of casualties in the accident (e.g., minor injury, serious injury, death, etc.), the direct cause of the accident (e.g., speeding, drunk driving, fatigue driving, etc.), and the location information of the damaged part of the facility (e.g., the specific location of the damaged guardrail). Add weather characteristic fields, geological risk fields, traffic flow pattern fields, and historical accident fields to the digital twin model of traffic protection facilities. The environmentally related fields include these fields. Obtain a multi-dimensional facility portrait constructed by the digital twin model of traffic protection facilities based on these fields: weather characteristic fields, geological risk fields, traffic flow pattern fields, and historical accident fields. The multi-dimensional facility portrait comprehensively reflects the environmental characteristics and operating status of the road section where the facility is located.

[0047] In the above example, assume that a traffic management department uses a digital twin model to monitor and manage traffic protection facilities to improve their safety and maintenance efficiency. The specific implementation steps include obtaining weather data from the local meteorological department for the past five years (e.g., the past two years, the past three years, or the past four years) for the road section where the first traffic protection facility is located. This data is cleaned and organized to remove invalid and anomalous data. Using data analysis tools, the types of extreme weather events (e.g., heavy rain, snowstorms, high temperatures, etc.) and their duration within a first preset historical time period (i.e., the past five years) are extracted. A weather feature field is generated based on the extracted features. Geological parameters for the road section where the first traffic protection facility is located, including but not limited to soil type and groundwater level, are obtained from the geological department. These parameters are then correlated with geographic location to ensure that each parameter is mapped to a specific road section location. A geological risk assessment model can be used to conduct a risk assessment of the road section's geological conditions, determining the slope stability level and the historical frequency of geological disasters. Based on the risk assessment results, a geological risk field is generated.

[0048] In the above embodiment, traffic flow statistics for the road section where the first traffic protection facility is located over the past year are obtained from the traffic management department. The traffic flow data is cleaned and organized to remove duplicate and invalid data. Data analysis tools are used to analyze the traffic flow data to determine peak traffic flow, the proportion of heavy vehicles, and the average speed fluctuation range during peak hours on a target date (i.e., a specific day of the week). Based on the pattern analysis results, a traffic flow pattern field is generated. Historical accident records associated with the road section where the first traffic protection facility is located are obtained from the traffic management department. These accident records are analyzed in detail to determine the accident type, casualty level, direct cause, and location of damaged parts of the facility. Based on the accident analysis results, a historical accident field is generated. Weather characteristic fields, geological risk fields, traffic flow pattern fields, and historical accident fields are added to the digital twin model of the traffic protection facility to form environmentally relevant fields. A multidimensional facility portrait of the traffic protection facility is constructed using the digital twin model with the added environmentally relevant fields. This multidimensional facility portrait can also be displayed using visualization tools, allowing the traffic management department to intuitively understand the environmental characteristics and operating conditions of the road section where the facility is located. By implementing the above steps, a multi-dimensional facility portrait based on the digital twin model of traffic protection facilities is constructed, which can display in real time the historical weather, geological conditions, traffic flow statistics and historical accident records of the road section where the colloid protection facilities are located, providing comprehensive decision-making support for traffic management departments. At the same time, the multi-dimensional facility portrait can also be updated according to real-time data to ensure that traffic management departments can timely understand the operating conditions and safety risks of traffic protection facilities, so as to take corresponding maintenance and management measures.

[0049] In an optional embodiment, a multi-dimensional facility portrait constructed by the digital twin model of traffic protection facilities based on the weather characteristic field, geological risk field, traffic flow pattern field, and historical accident field is obtained, specifically including: 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, wherein 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 characteristic field and the material corrosion rate to establish a corrosion risk correlation 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 Analysis is performed to establish a deformation risk association relationship; the digital twin model of traffic protection facilities conducts a load analysis on the peak traffic flow peak 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 conducts a spatial overlay analysis on the location information of damaged parts of facilities 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 degradation report based on the design life and environmental influencing factors; the digital twin model of traffic protection facilities constructs a multi-dimensional facility portrait based on the corrosion risk association relationship, deformation risk association relationship, traffic bearing association relationship, high-risk node area annotation information and material performance degradation report; and the multi-dimensional facility portrait output by the digital twin model of traffic protection facilities is obtained.

[0050] In the above embodiment, the physical characteristic parameters represent the physical properties of the first traffic protection facility. The physical characteristic 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 at which the material of the first traffic protection facility deforms when subjected to stress), 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-bearing capacity specified in the design of the first traffic protection facility), and the structural node distribution information (i.e., the distribution of connection points and support points within the internal structure of the first traffic protection facility). Extreme weather event types refer to historical weather events that have a potential impact on the first traffic protection facility, such as heavy rain and snowstorms. Corrosion analysis of extreme weather event types and material corrosion rates is conducted to assess the corrosion risk of the first traffic protection facility under different weather conditions. The slope stability level represents the stability of the slope on which the first traffic protection facility is located. Deformation analysis of the slope stability level and stress deformation threshold is conducted to assess the impact of geological conditions on the deformation of the first traffic protection facility. Peak traffic flow during peak hours refers to the maximum traffic flow during a specific time period. Comparing peak traffic flow during peak hours with the design load capacity is used to evaluate the load-bearing capacity of primary traffic protection facilities during peak hours. Damaged facility location information refers to the locations of damaged traffic protection facilities during historical accidents. Spatial overlay analysis with structural node distribution information is used to identify potential high-risk areas within primary traffic protection facilities. Material performance degradation reports are generated based on the design life of the facility and environmental influencing factors (e.g., weather, geological conditions, etc.) to evaluate changes in material performance over time.

[0051] In the above embodiment, it is assumed that a city's traffic management department uses a digital twin model to monitor and manage traffic protection facilities to improve their safety and maintenance efficiency. Specifically, the traffic protection facility digital twin model calculates the physical characteristic parameters of the first traffic protection facility, including but not limited to material corrosion rate, stress-deformation threshold, facility vibration frequency, design bearing capacity, and structural node distribution information, based on input data related to the first traffic protection facility, including but not limited to material, structure, and dimensions. The traffic protection facility digital twin model extracts extreme weather event types (e.g., heavy rain, snowstorm, and high temperature) from the weather feature field, correlates these extreme weather event types with material corrosion rates, analyzes the corrosion status of the facility under different weather conditions, and, based on the analysis results, establishes a corrosion risk association, i.e., the corrosion risk level of the first traffic protection facility under different weather conditions. The traffic protection facility digital twin model extracts slope stability level information from the geological risk field, correlates the slope stability level with the stress-deformation threshold, analyzes the impact of geological conditions on facility deformation, and, based on the analysis results, establishes a deformation risk association, i.e., the deformation risk level of the first traffic protection facility under different geological conditions.

[0052] In the above-mentioned embodiment, the digital twin model of the traffic protection facility extracts peak traffic flow information during peak hours from the traffic flow pattern field, correlates the peak traffic flow peaks with the designed carrying capacity, analyzes the facility's carrying capacity during peak hours, and, based on the analysis results, establishes a traffic carrying capacity correlation, namely, the carrying risk level of the first traffic protection facility under different traffic flow rates. The digital twin model of the traffic protection facility extracts damaged facility location information from the historical accident field, performs a spatial overlay analysis on this damaged location information with the structural node distribution information, and identifies potential high-risk areas within the facility. Based on the analysis results, it generates high-risk node area annotation information, namely, annotates the high-risk areas in the structural diagram of the first traffic protection facility. The digital twin model of the traffic protection facility calculates material performance degradation based on the facility's design life and environmental factors (e.g., weather, geological conditions, traffic flow, etc.). Based on the calculation results, it generates a material performance degradation report, which shows the performance changes of the material over different time periods. The digital twin model of traffic protection facilities integrates all of the above analysis results (i.e., corrosion risk correlations, deformation risk correlations, traffic load correlations, high-risk node area annotations, and material performance degradation reports) and constructs a multidimensional facility portrait based on this integrated information. This multidimensional facility portrait comprehensively reflects the facility's status, risks, and performance. Traffic management departments use visualization tools or interfaces to access the multidimensional facility portrait output by the digital twin model of traffic protection facilities. This multidimensional facility portrait provides an intuitive understanding of the facility's status, risks, and performance, enabling the development of scientifically sound maintenance plans and risk management strategies. The multidimensional facility portrait can also be updated based on real-time data, ensuring that management departments are aware of facility changes and can take appropriate measures.

[0053] In the above embodiment, 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 nonlinear corrosion formula can be used to quantify the corrosion risk:

[0054] in, is the corrosion rate at time t; is the initial corrosion rate (related to the material); is the corrosion activation energy (material property); is the gas constant; is the ambient 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 humidity on corrosion rate. Through this formula, the corrosion risk of facilities under different environmental conditions can be dynamically predicted.

[0055] In the above embodiment, the deformation risk is related to geological conditions (such as slope stability and groundwater level fluctuations) and the stress distribution of the facility itself. The finite element analysis formula can be used to quantify the deformation risk:

[0056]

[0057] in, For the spatial location of traffic protection facilities The total deformation at , which is determined by the elastic deformation caused by stress and the thermal expansion caused by temperature change; is the stress distribution function, which represents the location of the facility in space The stress value at ; is the elastic modulus distribution function, which indicates the spatial location of the facility Material stiffness at ; is the coefficient of thermal expansion, which indicates the expansion or contraction characteristics of a material under temperature changes; is a temperature change function, which indicates the spatial location of traffic protection facilities. The temperature change at the location; volume V is the geometric area of ​​the traffic protection facility in three-dimensional space.

[0058] In the above example, traffic carrying capacity is related to traffic volume, vehicle type (e.g., the proportion of heavy vehicles), and the design carrying capacity of the facilities. A dynamic carrying capacity formula can be used to quantify traffic carrying risk:

[0059] in, is the residual carrying capacity at time t; is the design load capacity; For the Weighting factors for vehicle types (for example, heavy vehicles have a higher weight); At time t Traffic volume of vehicles of this type; At time t Average speed of vehicles of the same category; The maximum vehicle speed permitted by traffic protection facilities; is the coefficient of influence of vehicle speed on carrying capacity. This formula can be used to dynamically evaluate the carrying capacity of facilities under different traffic conditions.

[0060] In an optional embodiment, a facility association network map driven by a digital twin of the first traffic protection facility is constructed based on the digital twin model of the traffic protection facility to which an environmental association field has been added, specifically including: spatially grouping the second traffic protection facilities that are geographically adjacent to the traffic protection facility according to preset geographical proximity rules 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 material type and design type to generate a facility type association table, wherein the facility type association table is used to record the association between third traffic protection facilities with the same material type and / or design type, and the third traffic protection facility includes the first traffic protection facility and the second traffic protection facility; generating a risk propagation path table based on the historical frequency of geological disasters in the geological risk field, wherein the risk propagation path table is used to identify The geological risk propagation relationship between adjacent fourth traffic protection facilities, the fourth traffic protection facilities include the first traffic protection facilities and the second traffic protection facilities; according to the peak traffic flow peak and the proportion of heavy vehicles in the traffic flow pattern field, a traffic load association table between road sections is established, wherein the traffic load association table between road sections is used to reflect the chain effect of traffic pressure on adjacent fifth traffic protection facilities, the fifth traffic protection facilities include the first traffic protection facilities and the second traffic protection facilities; the direct causes of accidents in the historical accident field are compared with the facility type association table to generate an accident cause-facility type mapping relationship table; the spatial association relationship, facility type association table, risk propagation path table, traffic load association table and accident cause-facility type mapping relationship table are input into the digital twin model of traffic protection facilities with the added environmental association field to construct a facility association network map of the first traffic protection facility.

[0061] In the above embodiment, the second traffic protection facilities that are geographically adjacent to the traffic protection facilities are spatially grouped according to preset geographical proximity rules, wherein the preset geographical proximity rules refer to pre-set rules for determining which traffic protection facilities are geographically adjacent, such as distance thresholds, administrative divisions, etc. Spatial proximity grouping refers to grouping adjacent traffic protection facilities together for subsequent analysis. The first traffic protection facility is the traffic protection facility of primary concern, while the second traffic protection facility refers to other traffic protection facilities that are geographically adjacent to the first traffic protection facility. The first traffic protection facility and the second traffic protection facility are classified and matched according to material type and design type, wherein the material type refers to the type of material used in the traffic protection facility, such as steel, concrete, etc.; the design type refers to the structural design or functional design of the traffic protection facility, such as guardrail type, collision resistance level, 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.

[0062] In the above embodiment, a risk propagation path table is generated based on the historical frequency of geological disasters in the geological risk field. The geological risk field contains data on the historical occurrence of geological disasters (e.g., landslides, mudslides, etc.). The risk propagation path table is used to identify adjacent traffic protection facilities that have a transmission relationship with geological disasters. A cross-segment traffic load association table is established based on the peak traffic flow rate and heavy vehicle proportion in the traffic flow pattern field. The traffic flow pattern field contains data on traffic flow, the peak traffic flow rate represents the maximum traffic flow rate on a section during peak hours, and the heavy vehicle proportion represents the proportion of heavy vehicles in the total traffic flow. The cross-segment traffic load association table is used to reflect the chain reaction of traffic load (i.e., traffic pressure) between different sections (i.e., sections where adjacent traffic protection facilities are located). The direct cause of the accident in the historical accident field, which contains data on traffic accidents, is compared with the facility type association table. The direct cause of the accident represents the primary cause of the accident. The accident cause-facility type mapping relationship table is generated by comparing the direct accident causes with the facility type association table, and is used to reveal the association between different accident causes and traffic protection facility types.

[0063] In the above embodiment, a facility association network map of traffic protection facilities is constructed to improve the management efficiency and risk prevention capabilities of traffic protection facilities. The specific implementation steps include collecting data on the geographic location, material type, design type, geological risk fields (including historical frequency of geological disasters), traffic flow pattern fields (including peak traffic volume during peak hours and the proportion of heavy vehicles), and historical accident fields (including direct causes of accidents). The collected data is preprocessed, including data cleaning, format conversion, and missing value processing, to ensure data accuracy and consistency. Based on preset geographic proximity rules (e.g., distance threshold, administrative division, etc.), second traffic protection facilities geographically adjacent to the first traffic protection facility are spatially grouped. A spatial association relationship between the first and second traffic protection facilities is established, and a spatial association relationship table is generated. Based on material type and design type, the first and second traffic protection facilities are classified and matched to generate a facility type association table, which records the association between third traffic protection facilities (including the first and second traffic protection facilities) with the same material type and / or design type.

[0064] In the above embodiment, based on the historical frequency of geological disasters in the geological risk field, the geological risk propagation relationship between adjacent fourth traffic protection facilities (including the first and second traffic protection facilities) is analyzed to generate a risk propagation path table, identifying the geological risk propagation paths and likelihood between adjacent facilities. Based on the peak traffic volume and heavy vehicle ratio during peak hours in the traffic flow pattern field, the traffic load chain effects between adjacent road sections (i.e., the road sections where the adjacent fifth traffic protection facilities are located) are analyzed to establish an inter-section traffic load correlation table, reflecting the traffic load correlation relationship and pressure distribution between different road sections. The direct accident causes in the historical accident field are compared with the facility type correlation table to generate an accident cause-facility type mapping relationship table, revealing the correlation between different accident causes and traffic protection facility types. The spatial correlation relationship, facility type correlation table, risk propagation path table, inter-section traffic load correlation table, and accident cause-facility type mapping relationship table are input into a digital twin model of traffic protection facilities with an additional environmental correlation field. Using model algorithms and visualization tools, a facility correlation network map of the first traffic protection facility is constructed. The facility association network map can display spatial connections, type connections, risk transmission paths, traffic load connections, and the mapping relationship between accident causes and facility types. This constructed facility association network map can then be applied to the management and maintenance of traffic protection facilities, providing decision support for relevant departments. Based on actual application, feedback data is continuously collected to optimize the model algorithm and map construction process to improve the map's accuracy and practicality. By implementing these steps, a comprehensive and dynamic facility association network map of traffic protection facilities can be constructed. This facility association network map can better understand the connections between facilities, risk transmission paths, and traffic load distribution, thereby formulating more scientific and reasonable maintenance plans and risk management strategies.

[0065] In an optional embodiment, upon receiving a facility maintenance instruction, an initial maintenance plan for the first traffic protection facility is determined based on a preset basic database, specifically including: querying a basic maintenance item list corresponding to the road section where the first traffic protection facility is located from a preset road section maintenance standard table based on the geographical location; matching the material maintenance requirements of the first traffic protection facility from a preset material maintenance rule library based on the material type; comparing the design life with a preset maintenance time threshold to trigger the life-expiration maintenance task of the first traffic protection facility; associating the preset design maintenance specification library based on the design type to determine the design maintenance content of the first traffic protection facility; integrating the basic maintenance item list, material maintenance requirements, life-expiration maintenance tasks and design maintenance content to generate an initial maintenance requirement list for the first traffic protection facility, wherein the initial maintenance plan includes the initial maintenance requirement list.

[0066] In the above embodiment, geographic location refers to the specific location of traffic protection facilities in geographic space, typically expressed through latitude and longitude, address descriptions, or administrative divisions. The preset road section maintenance standards table refers to a pre-set table containing different road sections and their corresponding basic maintenance items, used to guide the maintenance of traffic protection facilities. The basic maintenance item list refers to a list of basic maintenance items required for traffic protection facilities on a specific road section, obtained by querying the road section maintenance standards table. The material type refers to the type of material used in traffic protection facilities, such as metal, concrete, and plastic. The preset material maintenance rule library refers to a database containing different materials and their corresponding maintenance requirements, used to guide the maintenance of traffic protection facilities of different materials. Material maintenance requirements refer to the maintenance requirements required for traffic protection facilities of specific materials, obtained by matching the material maintenance rule library. The design life refers to the expected service life of the traffic protection facilities during their design. The preset maintenance time threshold refers to a pre-set time limit used to determine whether a traffic protection facility has reached the end of its service life and requires maintenance. An end-of-life maintenance task refers to a maintenance task triggered when the design life of a traffic protection facility reaches or exceeds the preset maintenance time threshold. The design type indicates 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. 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 requirements list refers to the initial maintenance requirements list for the first traffic protection facility obtained by integrating the basic maintenance item list, material maintenance requirements, life-end maintenance tasks and design maintenance content. The initial maintenance plan refers to a maintenance plan containing the initial maintenance requirements list, which is used to guide the specific maintenance work of the first traffic protection facility.

[0067] In the above embodiment, to ensure the safety and functionality of traffic protection facilities, regular maintenance and upkeep are required. Based on information such as the facility's geographic location, material type, design life, and design type, an initial maintenance requirements list is generated to guide subsequent maintenance work. The specific implementation steps include obtaining the geographic location information of the first traffic protection facility, which may be specific geographic coordinates or a road section name. Accessing a preset road section maintenance standards table, which may be an electronic database containing different road sections and their corresponding basic maintenance items. By matching the geographic location information with the road section maintenance standards table, a list of basic maintenance items corresponding to the road section where the first traffic protection facility is located is retrieved. This list of basic maintenance items includes, but is not limited to, road surface cleaning, sign and marking maintenance, and guardrail inspection. Information on the material type of the first traffic protection facility is obtained, such as metal, concrete, or plastic. Accessing a preset material maintenance rule library, which contains different materials and their corresponding maintenance requirements, such as anti-corrosion treatment, strength testing, and replacement cycle, is then performed. By matching the material type with the material maintenance rule library, the material maintenance requirements for the first traffic protection facility are determined.

[0068] In the above embodiment, the design life information of the first traffic protection facility is obtained, which can be the numerical value of the expected service life of the traffic protection facility. A preset maintenance time threshold is set, such as six months, one year, or two years. The design life is compared with the preset maintenance time threshold. If the design life has reached or exceeded the preset maintenance time threshold, a life-end maintenance task is triggered, such as a comprehensive inspection or replacement of aging components. The design type information of the first traffic protection facility is obtained, such as corrugated beam guardrail, reinforced concrete guardrail, or traffic sign. A preset design maintenance specification library is accessed, which contains different design types and their corresponding maintenance specifications, such as cleaning frequency, maintenance methods, and replacement standards. By associating the design type with the design maintenance specification library, the design maintenance content of the first traffic protection facility is determined. The basic maintenance item list, material maintenance requirements, life-end maintenance tasks, and design maintenance content are integrated into a clear initial maintenance requirements list, which details the various maintenance tasks required for the first traffic protection facility. The initial maintenance requirements list, as part of the initial maintenance plan, is used to guide subsequent maintenance work. By implementing the above steps, we can provide strong guidance for subsequent maintenance work and ensure that the safety and functionality of traffic protection facilities are effectively guaranteed.

[0069] 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 characteristic 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, wherein the facility risk characteristic table includes N corrosion levels, M deformation amplitudes, and Q 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 transmission or traffic load chain effects with the first traffic protection facility according to the risk propagation path table and the traffic load association table in the facility association network map, and adding the slope reinforcement plan or traffic diversion facility addition plan corresponding to the sixth traffic protection facility to the initial maintenance requirement list; adjusting the first corrosion level, first deformation amplitude, and traffic load data items in the facility risk characteristic table that exceed the preset risk threshold according to the preset priority adjustment rules. The amplitude and the first bearing load data item are marked as emergency maintenance tasks, and the current execution order of the emergency maintenance task is promoted to the first execution order in the initial maintenance requirement list, wherein 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, and the Q bearing load data items include the first bearing load data item, and the priority of the first execution order is higher than the priority of the current execution order; according to the high-risk node area marking information, special inspection tasks for structural nodes are added to the initial maintenance requirement list, wherein the special inspection tasks include bolt tightening inspection, weld flaw detection, and buffer structure deformation measurement; according to the facility type association table and the accident cause-facility type mapping relationship table, the seventh traffic protection facility with the same design type as the first traffic protection facility and the same accident cause is screened out, and the connection replacement plan corresponding to the seventh traffic protection facility is added to the initial maintenance requirement list.

[0070] In the above embodiment, the facility risk characteristic table refers to a table used to record facility risk characteristics. It includes data items such as N corrosion levels, M deformation amplitudes, and Q load data items. These data items are used to represent the risk status of the facility in different dimensions. N, M, and Q are all positive integers greater than or equal to 1, representing the number of risk characteristics in each dimension. The facility association network map represents the relationship between traffic protection facilities and includes key information such as the risk propagation path table and the traffic load association table. The risk propagation path table describes the method and path of risk propagation between facilities. The traffic load association table describes the mutual influence 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 traffic flow diversion facility addition plan is a maintenance plan developed to address the potential risks of the sixth traffic protection facility. The preset priority adjustment rule is a rule used to determine the priority of maintenance tasks and includes key information such as the preset risk threshold. When certain data items in the facility risk characteristic table exceed the preset risk threshold, these data items will be marked as urgent maintenance tasks.

[0071] In the above embodiment, in order to ensure the safe operation of traffic protection facilities and reduce the risk of accidents caused by aging, damage, or excessive load of facilities, the specific implementation steps are to analyze the multi-dimensional facility profile of the traffic protection facilities (including corrosion risk association, deformation risk association, traffic load association, and high-risk node area labeling information) to generate a facility risk characteristic table. The facility risk characteristic table includes N corrosion levels (for example, slight corrosion, moderate corrosion, severe corrosion, etc.), M deformation amplitudes (for example, small deformation, moderate deformation, severe deformation, etc.), and Q load data items (for example, daily load, peak load, extreme load, etc.). Assume that N=3, M=3, and Q=3, that is, there are three different risk levels or data items in each dimension. Using the risk propagation path table and traffic load association table in the facility association network map, the sixth traffic protection facility that has geological risk propagation or traffic load chain effects with the first traffic protection facility is screened out. For example, if the road section where the first traffic protection facility is located is found to have geological instability problems, the adjacent sixth traffic protection facility may also face the same risk. At the same time, since the first traffic protection facility often bears high-load traffic flow, the sixth traffic protection facility downstream may also be affected by the chain effects. For these associated facilities, corresponding maintenance plans are formulated, such as slope reinforcement plans or traffic diversion facility addition plans, and these plans are added to the initial maintenance needs list.

[0072] In the above embodiment, according to the preset priority adjustment rules, the first corrosion level, the first deformation amplitude, and the first bearing load 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, and the deformation amplitude has also reached severe deformation. At the same time, its bearing load often exceeds the limit value, and these risk items are marked as emergency maintenance tasks. In the initial maintenance requirements 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. Based on the high-risk node area marking information, special inspection tasks for structural nodes are added to the initial maintenance requirements list. Special inspection tasks include bolt tightening inspection, weld flaw detection, buffer structure deformation measurement, etc., and specific inspection time and frequency are set to ensure the structural safety of the facility. Using the facility type association table and the accident cause-facility type mapping table, we screened out seventh traffic protection facilities with the same design type and similar accident causes as the first traffic protection facility. For example, if we discovered that the first traffic protection facility had previously caused an accident due to loose connectors, we screened out all seventh traffic protection facilities with the same design type and a risk of loose connectors. For these traffic protection facilities, we developed a connector replacement plan and added it to the initial maintenance needs list. By implementing these steps, we prioritized maintenance tasks based on the urgency and importance of the risks, providing strong guidance for subsequent maintenance work and ensuring the safe operation of traffic protection facilities.

[0073] In the above example, 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:

[0074] in, Score maintenance priorities; For the The weight coefficient of each facility; For the Corrosion risk of traffic protection facilities; For the Deformation risk of traffic protection facilities; For the Traffic carrying risk of each traffic protection facility; The corrosion risk threshold represents the maximum corrosion rate allowed for the facility material per unit time. When the corrosion risk threshold is exceeded, the corrosion risk of the traffic protection facility is high and maintenance measures need to be taken. is the deformation risk threshold, which indicates 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 high, which may lead to structural failure. The traffic bearing risk threshold indicates the maximum allowable bearing capacity of traffic protection facilities under traffic load. When the traffic bearing risk threshold is exceeded, the bearing risk of traffic protection facilities is high, which may lead to structural damage. Priority factor for historical incidents or maintenance records; is the weight coefficient of historical priority. This formula can be used to scientifically determine the maintenance priority of each traffic protection facility.

[0075] In an optional embodiment, after optimizing the initial maintenance plan of the first traffic protection facility based on the multi-dimensional facility portrait and the facility association network map, the method further includes: integrating emergency maintenance tasks, slope reinforcement plans or traffic 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, wherein the visual maintenance path chart includes a maintenance association path of the first traffic protection facility, the sixth traffic protection facility, and the seventh traffic protection facility marked based on geographic location, a maintenance task list arranged according to the priority of the target execution order, an execution time limit for emergency maintenance tasks, a structural diagram of high-risk node areas, marking of bolt positions and weld areas requiring special inspection, an implementation step diagram of the slope reinforcement plan or traffic diversion facility addition plan, and an implementation step diagram of the connector replacement plan, the maintenance task list includes emergency maintenance tasks and execution time limits, and the target execution order includes the first execution order; the visual maintenance path chart is associated with the multi-dimensional facility portrait and stored in the traffic protection facility digital twin model, and the visual maintenance path chart is synchronously updated to the risk annotation layer of the facility association network map.

[0076] In the above embodiment, the emergency maintenance task refers to a maintenance task that needs to be handled immediately due to exceeding the preset risk threshold in the facility risk characteristic table, which is usually related to key issues such as corrosion, deformation or load bearing of the facility. The slope reinforcement plan or the traffic diversion facility addition plan refers to specific maintenance measures formulated for traffic protection facilities with geological risk transmission 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 of the facility. Special inspection tasks are used to conduct detailed inspections of high-risk node areas, including bolt tightening inspections, weld flaw detection inspections, buffer structure deformation measurements, 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 similar accident causes, which aims to prevent accidents caused by aging or damage of connectors. The maintenance optimization instruction is a comprehensive instruction set that integrates all the above maintenance tasks, plans and measures, and provides clear guidance and direction for subsequent maintenance work. The visual maintenance path diagram is a geographic location-based chart that illustrates the maintenance paths between traffic protection facilities. It displays a list of maintenance tasks arranged by target execution order, along with key information such as the execution timelines for emergency maintenance tasks and a structural diagram of high-risk node areas. The target execution order refers to the execution order determined by the urgency and importance of the maintenance tasks, with the first execution order representing the highest priority. The risk annotation layer is a layer (e.g., a layer) within the facility-related network map that is used to annotate and display the risk information and status of traffic protection facilities.

[0077] In the above embodiment, to efficiently manage and execute maintenance tasks for traffic protection facilities, all relevant maintenance tasks and plans are collected and organized. These include emergency maintenance tasks (e.g., replacement of severely corroded components, reinforcement of structures with excessive deformation), slope reinforcement plans (e.g., adding anchors, reinforcing soil), traffic flow control facility installation plans (e.g., adding traffic signs, optimizing signal control), special inspection tasks (e.g., bolt tightening inspection, weld flaw detection), and connector replacement plans (e.g., replacing aging or damaged connectors). Based on the urgency, importance, and interrelationships of these maintenance tasks and plans, maintenance optimization instructions are developed. These instructions specify the specific content, execution time, responsible individuals, and required resources for each task and plan. The digital twin model of the traffic protection facility, constructed using digital twin technology, can reflect the actual operating status and performance parameters of the facility in real time. Based on the information in the maintenance optimization instructions, the geographic locations of the first, sixth, and seventh traffic protection facilities and the maintenance paths associated with them are annotated in the digital twin model of the traffic protection facility. Based on the priority of target execution, the maintenance task list is organized into emergency maintenance tasks, other important tasks, and routine tasks, with the execution deadline for each task noted in a chart. The chart also displays a structural schematic of high-risk node areas, identifies bolt locations and welds requiring specialized inspection, and provides step-by-step instructions for implementing slope reinforcement plans, adding traffic flow control facilities, and replacing connectors. A visual maintenance path diagram incorporating all of this information is generated, visually demonstrating the execution status of maintenance tasks and plans. The visual maintenance path diagram is associated with a multi-dimensional facility portrait and stored in the digital twin model of the traffic protection facility. The real-time operating status of the traffic protection facility and the execution status of maintenance tasks can be viewed simultaneously within the digital twin model. The visual maintenance path diagram is also synchronized with the risk annotation layer of the facility network map, providing a clearer understanding of the relationships and risk distribution between traffic protection facilities, providing more comprehensive information support for subsequent maintenance and management. By implementing these steps, comprehensive management and tracking of facility maintenance tasks is achieved, improving the efficiency and accuracy of maintenance work.

[0078] 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 multidimensional data. By adding environmental association fields to the digital twin model of traffic protection facilities, a multidimensional facility portrait containing rich on-site information can be constructed, thus providing a solid foundation for subsequent analysis. The multidimensional facility portrait, combined with the facility association network map, can fully consider the mutual influence between facilities, thereby enabling targeted optimization of the initial maintenance plan and ensuring the efficiency and accuracy of maintenance work.

[0079] It should be noted that the embodiments described above are only part of the embodiments of this application, rather than all the embodiments.

[0080] The present application embodiment provides a process for constructing a digital twin model of a traffic protection facility, including the following steps:

[0081] 1. Multidimensional data collection and feature extraction

[0082] A distributed fiber-optic sensor network collects real-time data on physical conditions, including guardrail post tilt (accuracy up to 0.01°), crash cushion compression deformation (±1mm), and concrete microcracks (resolution 50μm). This data is simultaneously integrated with ultrasonic wind speed and direction data from a meteorological monitoring station (sampling frequency 10Hz), vehicle GPS trajectory data (positioning accuracy 0.5m), and deep learning-based traffic flow measurement data from a video surveillance system (counting error <2%). Wavelet packet decomposition is used to extract the characteristic frequencies of the facility's vibration signals (ranging from 0.1 to 500Hz), creating a facility health matrix consisting of 32-dimensional feature vectors.

[0083] 2. Facility component-level model splitting

[0084] Traffic protection facilities are broken down into 12 standard components, including columns, beams, and connectors. An independent digital twin is created for each component, including a material constitutive model (for example, the elastic-plastic equations for steel), an environmental corrosion model (an exponential relationship between salt spray concentration and corrosion rate), and a load transfer model (a finite element simulation template for vehicle collision energy absorption).

[0085] 3. Multi-physics field parameter coupling

[0086] Constructing a cross-mapping network of material properties, environmental factors and mechanical responses:

[0087] 1) Environmental correction relationship of steel strength

[0088] The adjusted yield strength of steel is equal to its standard value multiplied by the product of the temperature and humidity factors. The temperature factor is calculated as follows: with 20°C as the base, the strength decreases by 0.35% for every 1°C increase. The humidity factor is inversely proportional to the relative humidity raised to the power of 0.8. Specifically, for every unit increase in relative humidity, the strength reduction factor decreases by 0.015 times the humidity value raised to the power of 0.8.

[0089] 2) Wind-induced vibration response relationship

[0090] The guardrail vibration amplitude is nonlinearly positively correlated with wind speed. Its magnitude is dominated by the wind speed raised to the power of 1.8, while also subject to an exponential decay term. Specifically, when wind speeds are within the normal range (0-20 m / s), the vibration amplitude increases in a power-law fashion. However, when wind speeds exceed a critical value (approximately 15 m / s), the exponential term slows the increase.

[0091] 3) Traffic load accumulation relationship

[0092] The rate of change of internal stress in a facility over time is proportional to the 1.2th power of traffic density and the 0.8th power of average vehicle speed. This relationship indicates that during peak hours (traffic density > 50 vehicles / km) and speeds > 60 km / h, the stress accumulation rate exhibits a superlinear growth characteristic, which has a decisive impact on the assessment of the fatigue life of the facility.

[0093] 4. Spatiotemporal dynamic mapping mechanism

[0094] Carrier phase differential positioning technology is used to establish a facility spatial coordinate system, achieving millisecond-level data synchronization via a dedicated 5G network. Four-dimensional spatiotemporal coding rules are developed to bind and store each traffic protection facility status change with a UTC (Coordinated Universal Time) timestamp (accurate to the millisecond), geographic coordinates (e.g., WGS84 coordinate system), and environmental parameters (e.g., temperature, humidity, and salinity), forming a traceable state evolution chain.

[0095] 5. Model Validation and Calibration

[0096] A benchmark verification field was established on a typical road section. Impact hammer tests (energy levels of 50J-500J) were used to stimulate the vibration response of the equipment. Actual vibration spectra were collected using a laser Doppler vibrometer (resolution 0.1μm / s). The results were compared with the digital twin model's predictions (error <8%), and the material damping coefficient was reversed (coefficient adjustment range 0.02-0.05). A historical accident playback mechanism was established, inputting real-world collision data (e.g., vehicle speed 72km / h, impact angle 35°) into the digital twin model to verify the accuracy of the crashworthiness rating predictions (e.g., compliance rate >92%).

[0097] 6. Self-optimization iterative mechanism

[0098] Develop a dual-loop renewal strategy:

[0099] Fast cycle (for example, 5-minute cycle): updates dynamic parameters such as traffic flow, ambient temperature and humidity;

[0100] Deep cycle (e.g., 24-hour cycle): Modify the material constitutive model parameters based on the X-ray diffraction analysis results;

[0101] After maintenance, the model is automatically recalibrated, and the weld quality data is obtained through a pulsed eddy current detector (sensitivity 0.5mm defect recognition), and the fatigue life prediction curve of the connection is updated (the curve slope is adjusted by ±5%).

[0102] It should also be noted that the examples of actual values ​​for the various parameters described above are merely exemplary embodiments and are not limited to these examples. The process of constructing a digital twin model for traffic protection facilities described above is merely exemplary and is not limited to these examples.

[0103] The electronic device in the embodiment of the present invention is described below from the perspective of hardware processing. Figure 2 , Figure 2 This is a schematic diagram of a physical device structure of an electronic device in an embodiment of the present application.

[0104] It should be noted that Figure 2 The structure of the electronic device shown is only an example and should not limit the functions and scope of use of the embodiments of the present invention.

[0105] like Figure 2 As 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 part 208 to the random access memory (RAM) 203, such as executing the method described in the above embodiment. In the RAM 203,

[0106] There are various programs and data required for system operation. The CPU 201 , the ROM 202 , and the 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 .

[0107] The following components are connected to the I / O interface 205: an input section 206 including an audio input device, push button switches, and the like; an output section 207 including a liquid crystal display (LCD), an audio output device, indicator lights, and the like; a storage section 208 including a hard disk and the like; and a communication section 209 including a network interface card such as a LAN (Local Area Network) card or a modem. 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 needed. Removable media 211, such as a magnetic disk, an optical disk, a magneto-optical disk, or a semiconductor memory, is installed in the drive 210 as needed, so that computer programs read from the removable media can be installed in the storage section 208 as needed.

[0108] In particular, according to embodiments of the present invention, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of the present invention include a computer program product comprising a computer program carried on a computer-readable medium, the computer program including a computer program for executing the methods illustrated in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via the communication section 209 and / or installed from removable media 211. When executed by the central processing unit (CPU) 201, the computer program performs the various functions defined in the present invention.

[0109] It should be noted that specific examples of computer-readable storage media may include, but are not limited to, an electrical connection having one or more conductors, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), flash memory, optical fiber, portable compact disc read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In the present invention, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0110] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present invention. Each box in the flowchart or block diagram can represent a module, program segment, or part of the code, and the above-mentioned module, program segment, or part of the code contains one or more executable instructions for implementing the specified logical functions. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in an order different from that marked in the accompanying drawings.

[0111] Specifically, the electronic device of this embodiment includes a processor and a memory. The memory stores a computer program. When the computer program is executed by the processor, the traffic protection facility maintenance plan optimization method provided in the above embodiment is implemented.

[0112] As another aspect, the present invention further provides a computer-readable storage medium, which may be included in the electronic device described in the above embodiments, or may exist independently and not incorporated into the electronic device. The storage medium carries one or more computer programs, which, when executed by a processor of the electronic device, enable the electronic device to implement the traffic protection facility maintenance plan optimization method provided in the above embodiments.

[0113] As described above, the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, 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 embodiments of the present application.

[0114] Those skilled in the art will appreciate that all or part of the process steps in the above-described method embodiments can be implemented by a computer program instructing the relevant hardware. The program can be stored in a computer-readable storage medium, and when executed, the program can include the process steps in the above-described method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as ROM or random access memory (RAM), magnetic disks, or optical disks.

Claims

1. A method for optimizing a maintenance plan for traffic protection facilities, characterized in that: include: Upon receiving a facility maintenance instruction, determining an initial maintenance plan for the first traffic protection facility based on a preset basic database, the preset basic database including the geographic location, material type, design life, and design type of the first traffic protection facility; collecting damage degree data, usage frequency data, and environmental impact factor data of the first traffic protection facility according to a preset period; Establishing a digital twin model of traffic protection facilities according to the geographical location, the material type, the design life, the design type, the damage degree data, the usage frequency data, and the environmental impact factor data; Environmental association fields including a weather feature field, a geological risk field, a traffic flow pattern field, and a historical accident field are added to the digital twin model of the traffic protection facility. The weather feature field is used to store the type of extreme weather events and the duration of extreme weather within a first historical preset time period. The geological risk field is used to record the soil type, groundwater level fluctuation range, slope stability level, and historical frequency of geological disasters. The traffic flow pattern field is used to mark the peak traffic flow peak, the proportion of heavy vehicles, and the average speed fluctuation range during the peak period within the target date. The historical accident field is used to record the type of accident, the degree of casualties, the direct cause of the accident, and the location information of the damaged part of the facility. The following operations are performed using the digital twin model of traffic protection facilities: The digital twin model of traffic protection facilities determines the physical characteristic parameters of the first traffic protection facility, wherein 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 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 deformation analysis on the traffic flow pattern field and the traffic flow pattern. The peak traffic flow during peak hours is analyzed with the design bearing capacity to establish a traffic bearing relationship; the digital twin model of the traffic protection facility performs a spatial overlay analysis on the location information of the damaged parts of the facility 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 performance degradation report based on the design life and the environmental influencing factors; the digital twin model of the traffic protection facility constructs a multi-dimensional facility portrait based on the corrosion risk correlation relationship, the deformation risk correlation relationship, the traffic bearing relationship, the high-risk node area annotation information and the material performance degradation report; Obtaining the multi-dimensional facility portrait output by the digital twin model of the traffic protection facility, wherein the multi-dimensional facility portrait is used to record weather characteristics, geological conditions, traffic flow patterns, and historical accidents of the road section where the first traffic protection facility is located; Input the spatial association relationship, facility type association table, risk propagation path table, traffic load association table, and accident cause-facility type mapping relationship table into the digital twin model of traffic protection facilities with the added environment association field to construct a facility association network map driven by the digital twin of the first traffic protection facility. The risk propagation path table is used to identify the geological risk propagation relationship between adjacent fourth traffic protection facilities, and the traffic load association table is used to reflect the chain reaction effect of traffic pressure on the adjacent fifth traffic protection facility. The initial maintenance plan of the first traffic protection facility is optimized based on the multi-dimensional facility portrait and the facility association network map. The optimization includes screening out the sixth traffic protection facility that has geological risk transmission or traffic load chain effects with the first traffic protection facility based on the risk transmission path table and the traffic load association table, and adding the slope reinforcement plan or traffic diversion facility addition plan corresponding to the sixth traffic protection facility to the initial maintenance needs list.

2. The method according to claim 1, characterized in that The environment-related fields are added to the digital twin model of the traffic protection facilities, specifically including: Acquire historical weather data of the road section where the first traffic protection facility is located, and generate the weather characteristic field according to the historical weather data; Acquire geological condition parameters of the road section where the first traffic protection facility is located, and associate the geological condition parameters with the geographical location to generate the geological risk field; Obtaining traffic flow statistics of the road section where the first traffic protection facility is located within a second historical preset time period, and generating the traffic flow pattern field based on the traffic flow statistics; Acquire historical accident records associated with the road section where the first traffic protection facility is located, and generate the historical accident occurrence field based on the historical accident records; The weather characteristic field, the geological risk field, the traffic flow pattern field, and the historical accident field are added to the digital twin model of the traffic protection facilities.

3. The method according to claim 2, characterized in that The construction of a facility association network map driven by the digital twin of the first traffic protection facility based on the digital twin model of the traffic protection facility with the added environment association field specifically includes: performing spatial proximity grouping on second traffic protection facilities that are geographically adjacent to the traffic protection facility according to a preset geographical proximity rule, so as 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 material type and design type to generate a facility type association table, wherein the facility type association table is used to record associations between third traffic protection facilities of the same material type and / or design type, where 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, wherein the fourth traffic protection facility includes the first traffic protection facility and the second traffic protection facility; Establishing the traffic load association table between road sections according to the peak traffic flow peak value and the heavy vehicle proportion in the traffic flow pattern field, wherein the fifth traffic protection facility includes the first traffic protection facility and the second traffic protection facility; The direct cause of the accident in the historical accident field is compared with the facility type association table to generate the accident cause-facility type mapping relationship table.

4. The method according to claim 1, wherein Upon receiving the facility maintenance instruction, determining the initial maintenance plan for the first traffic protection facility according to the preset basic database specifically includes: According to the geographical location, a list of basic maintenance items corresponding to the road section where the first traffic protection facility is located is searched from a preset road section maintenance standard table; Matching the material maintenance requirements of the first traffic protection facility from a preset material maintenance rule library according to the material type; Comparing the design life with a preset maintenance time threshold to trigger a life-expiration maintenance task for the first traffic protection facility; Associating a preset design and maintenance specification library according to the design type to determine the design and maintenance content of the first traffic protection facility; The basic maintenance item list, the material maintenance requirements, the life-end maintenance tasks and the design maintenance content are integrated to generate an initial maintenance requirement list for the first traffic protection facility, wherein the initial maintenance plan includes the initial maintenance requirement list.

5. The method according to any one of claims 1 to 4, characterized in that The initial maintenance plan for the first traffic protection facility is optimized based on the multi-dimensional facility portrait and facility association network map, 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, wherein the facility risk feature table includes N corrosion levels, M deformation amplitudes, and Q load data items, where N, M, and Q are all positive integers greater than or equal to 1; Marking the first corrosion level, the first deformation amplitude, and the first load bearing data item in the facility risk feature table that exceed a preset risk threshold as an emergency maintenance task according to a preset priority adjustment rule, and promoting the current execution order of the emergency maintenance task in the initial maintenance requirement list to a first execution order, wherein 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, and the Q load bearing data items include the first load bearing data item, and the priority of the first execution order is higher than the priority of the current execution order; Adding special inspection tasks for structural nodes to the initial maintenance requirements list based on the high-risk node area marking information, wherein the special inspection tasks include bolt tightening inspection, weld flaw detection, and buffer structure deformation measurement; According to the facility type association table and the accident cause-facility type mapping relationship table, the seventh traffic protection facility with the same design type as the first traffic protection facility and the same accident cause is screened out, and the connector replacement plan corresponding to the seventh traffic protection facility is added to the initial maintenance requirements list.

6. The method according to claim 5, characterized in that After optimizing the initial maintenance plan of the first traffic protection facility based on the multi-dimensional facility portrait and the facility association network map, the method further includes: The emergency maintenance task, the slope reinforcement plan or the traffic diversion facility addition plan, the special inspection task, and the connector replacement plan are integrated into a maintenance optimization instruction, and a digital twin-driven visual maintenance path chart is output, wherein the visual maintenance path chart includes a 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, a maintenance task list arranged according to the priority of the target execution order, the execution time limit of the emergency maintenance task, a structural diagram of the high-risk node area, marking of the bolt position and weld area requiring special inspection, an implementation step diagram of the slope reinforcement plan or the traffic diversion facility addition plan, and 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; The visual maintenance path chart is associated with the multi-dimensional facility portrait and stored in the digital twin model of the traffic protection facility, and the visual maintenance path chart is synchronously updated to the risk annotation layer of the facility-associated network map.

7. 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 enable the electronic device to execute the method as described in any one of claims 1-6.

8. A computer-readable storage medium comprising instructions, characterized in that: When the instructions are executed on an electronic device, the electronic device is caused to execute the method according to any one of claims 1 to 6.

9. A computer program product, characterized in that When the computer program product is run on an electronic device, the electronic device is enabled to perform the method according to any one of claims 1 to 6.

Images