A highway maintenance construction monitoring system and method based on vehicle-road cooperation

Abstract

The application relates to the field of highway maintenance construction monitoring, in particular to a highway maintenance construction monitoring system and method based on vehicle-road cooperation; the method comprises the following steps: collecting highway construction guide information in a highway maintenance construction task under a vehicle-road cooperation terminal, processing the highway construction guide information, and constructing an index table of guide fields; analyzing the index table of guide fields and the highway construction guide information, generating semantic nodes and relation edges, and constructing a highway guide semantic graph; configuring a record unit for the semantic nodes of the highway guide semantic graph, analyzing the record unit, and generating a highway time sequence link of guide information; analyzing the highway time sequence link, and generating a change label; based on the change label and the highway guide semantic graph, analyzing the semantic nodes, and constructing an abnormal linkage chain of guide; and generating a response instruction state table according to the vehicle-road cooperation terminal and the abnormal linkage chain of guide. The application can improve the safety of highway traffic.

Description

Technical Field

[0001] This invention relates to the field of highway maintenance and construction monitoring, and specifically to a highway maintenance and construction monitoring system and method based on vehicle-road cooperation. Background Technology

[0002] With the continuous expansion of highway transportation and infrastructure construction, the frequency of highway maintenance and construction is increasing. Vehicle-to-Everything (V2X) technology is gradually being applied to traffic management scenarios. By deploying V2X terminals, the perception and linkage of vehicle status and construction facility status can be realized, providing technical support for dynamic traffic information push and risk prevention and control, and becoming an important direction for intelligent management of highway maintenance and construction.

[0003] Chinese Patent Publication No. CN106503340A discloses an information-based method and device for safety management of highway maintenance road closure construction. Based on relevant regulations for highway maintenance safety operations, it establishes a parametric design method for the layout of highway maintenance operation control zones and the deployment of safety facilities. A visual design system is established, identification codes are installed on traffic safety facilities and scanned. The type, model, and actual mileage marker of the safety facilities are obtained through a geographic information system and a global positioning system. A working status sensor is installed on each safety facility and connected to a base station to form an Internet of Things (IoT) to monitor the working status of the safety facilities. Identification codes are installed on the working status sensors, and an inspection system is used to obtain the actual mileage marker of the working status sensors.

[0004] In existing technologies, the information of guidance facilities lacks a unified structured semantic model, resulting in poor content, spatial and temporal correlation between different guidance facilities, making it difficult to detect and track guidance conflicts and changes in real time. Most of them fail to integrate data collected by vehicle-road cooperative terminals and lack an interactive analysis mechanism between construction information and vehicle behavior in the Internet of Vehicles environment, making it difficult to support the analysis of the propagation path of guidance anomalies and the linkage response control. These are the problems we need to solve. Summary of the Invention

[0005] The purpose of this invention is to address the problems existing in the background technology by proposing a highway maintenance construction monitoring system and method based on vehicle-road cooperation.

[0006] The technical solution of this invention: A method for monitoring highway maintenance construction based on vehicle-road cooperation, comprising the following steps: S1. Collect highway construction guidance information in highway maintenance and construction tasks under the deployment of vehicle-road cooperative terminals, process the highway construction guidance information, and construct a guidance field index table; analyze the guidance field index table and highway construction guidance information to generate semantic nodes and relation edges, and construct a highway guidance semantic graph. S2, configure recording units for semantic nodes of the highway guidance semantic map, analyze the recording units to generate highway temporal links of guidance information; analyze the highway temporal links to generate change tags; S3 analyzes semantic nodes based on change tags and highway guidance semantic graphs, and constructs guidance anomaly linkage chains; based on vehicle-road cooperative terminals and guidance anomaly linkage chains, it generates response command status tables.

[0007] Preferably, the process of collecting highway construction guidance information in highway maintenance and construction tasks under the deployment of vehicle-road cooperative terminals, processing the highway construction guidance information, and constructing a guidance field index table includes: Vehicle-road cooperative terminals are set up in the construction area, and through the vehicle-road cooperative network formed by the deployed vehicle-road cooperative terminals, the guidance facilities and vehicle behavior are perceived; the highway construction guidance information includes the type of guidance sign, the coordinates of the deployment location, the visual guidance content, the guidance warning level, the identification of the setting unit, the estimated activation time, the estimated removal time, the guidance deployment sequence, and the construction task number. The highway construction guidance information is structurally transformed according to the preset data standardization rules, and guidance identifiers are generated based on the construction task number and the guidance layout sequence. Highway construction guidance information is encapsulated according to guidance identifiers as the index base to generate guidance units. A guidance unit is an encapsulated data structure of spatial attributes, content attributes, and task information of a single guidance facility. A content index table, a spatial coordinate index table, and a construction task binding table are constructed through guidance units. The content index table, spatial coordinate index table, and construction task binding table are integrated through the index primary key to construct a guidance field index table.

[0008] Preferably, the process of analyzing the directional field index table and highway construction directional information, generating semantic nodes and relational edges, and constructing a highway directional semantic graph includes: The information encapsulated in the content index table, spatial coordinate index table, and construction task binding table of the induced field index table are mapped to semantic nodes respectively. The semantic nodes include induced content nodes, deployment area nodes, construction task nodes, and timestamp nodes. The guidance content node includes the guidance sign type, visual guidance content, and guidance warning level; the deployment area node includes the deployment location coordinates and direction angle; the construction task node includes the construction task number, associated contract, and operation and maintenance plan identifier; and the timestamp node includes the expected activation time and the expected removal time. Based on the construction task number, layout location coordinates, planned activation time, and expected removal time in the highway construction guidance information, relationship edges are constructed. These relationship edges include the attribution relationship edge between the guidance content node and the construction task node, the spatial relationship edge between the guidance content node and the layout area node, and the temporal relationship edge between the guidance content node and the timestamp node. The corresponding content nodes, layout area nodes, construction task nodes, and timestamp nodes are connected through the attribution relationship edge, spatial relationship edge, and temporal relationship edge to construct a highway guidance semantic graph.

[0009] Preferably, the process of configuring recording units for semantic nodes in the highway guidance semantic graph, analyzing the recording units, and generating highway temporal links for guidance information is as follows: A recording unit is configured for the induced content node within the semantic node of the highway induced semantic graph. The recording unit is used to generate a corresponding time-series snapshot node when a change in the field value of the induced content node is detected. The detection process is based on comparing the field value of the same induced content node in the previous time-series snapshot node with the field value in the currently collected information. When a difference in field value occurs, the change timestamp is obtained and a corresponding time-series snapshot node is generated. The time-series snapshot node contains a change type field, a change timestamp field, and a value field before and after the change field, which are used to indicate the category of the changed attribute, mark the time point when the change occurred, and record the value of the attribute before and after the change, respectively. The time-series snapshot nodes are associated in the order of the change timestamps, and an index relationship with the corresponding guiding content node is established during the association process to generate the highway time-series link.

[0010] Preferably, the process of analyzing highway time-series links and generating change labels includes: The process involves traversing and comparing each time-series snapshot node in the highway time-series link, extracting field difference data between adjacent time-series snapshot nodes, including field name, value before change, and value after change; determining the field category based on the field name, and generating tag identifiers based on the semantic meaning of the field; constructing change tags according to the field category and change type of the tag identifier, and classifying change tags into content update tags, spatial adjustment tags, or time-series delay tags; obtaining the index relationship of the corresponding induced content node in the induced field index table for each change tag; and recording the index, field name, change timestamp, and before and after value fields of the corresponding induced content node in each change tag.

[0011] Preferably, the process of analyzing semantic nodes and constructing anomaly linkage chains based on change tags and highway guidance semantic graphs includes: Based on the change label and its recorded field names, change timestamps and previous and next value fields, combined with the highway guidance semantic graph and time-series snapshot nodes, all guidance content nodes associated with the current construction task node are analyzed. Extract the change timestamp and before-and-after values ​​of each induced content node, and set abnormal condition conditions; configure abnormal propagation marker units for induced content nodes that meet the abnormal condition conditions, and construct a propagation path structure based on the association between the abnormal propagation marker units and the deployment area nodes, timestamp nodes, and construction task nodes; attach the field name indicated by the change label to each node in the propagation path structure as a conflict type label, and set a propagation source identifier field to identify the starting node information and conflict source of the abnormal propagation chain; establish a mapping relationship between the propagation path structure and its corresponding construction task nodes to construct an induced abnormal linkage chain.

[0012] Preferably, the process of generating a response command status table based on the vehicle-road cooperative terminal and the induced anomaly linkage chain includes: Set up vehicle-road cooperative communication terminal identification tags that match each construction task node, and identify construction scenarios with potential risks of induced anomalies based on the association between construction task nodes and the induced anomaly linkage chain. For each induced anomaly linkage chain, the conflict type label and propagation source identifier fields in the propagation path structure are parsed to generate corresponding anomaly induced response instructions. The response instructions include anomaly prompt statements, path avoidance suggestions, passage level restrictions, and warning level identifiers. The abnormal guidance response command is transmitted in real time to adjacent vehicles or guidance facility display devices through the vehicle-road cooperative terminal via broadcast, targeted push or hierarchical release. Based on the vehicle response status fed back by the vehicle-road cooperative network, the response command status table and the guidance linkage chain activation status table are updated. Based on the response command status table, the abnormal inducement linkage chain that is still in an unresolved state is continuously monitored. When the unresolved state times out or the scope of impact expands, the scheduling and coordination module is triggered to link the construction management platform to perform risk resolution, on-site verification, or adjustment of construction inducement.

[0013] This invention also discloses a highway maintenance and construction monitoring system based on vehicle-road cooperation, including a management center, which is communicatively connected to a highway monitoring module, a highway analysis module, and a highway management module. The highway monitoring module is used to collect highway construction guidance information in highway maintenance and construction tasks under the deployment of vehicle-road cooperative terminals, process the highway construction guidance information, construct a guidance field index table, analyze the guidance field index table and highway construction guidance information, generate semantic nodes and relation edges, and construct a highway guidance semantic graph. The highway analysis module is used to configure recording units for the semantic nodes of the highway guidance semantic map, analyze the recording units, generate highway time-series links of guidance information, and analyze the highway time-series links to generate change tags. The highway management module is used to analyze semantic nodes based on change tags and highway guidance semantic graphs, and construct guidance anomaly linkage chains; based on vehicle-road cooperative terminals and guidance anomaly linkage chains, it generates response instruction status tables.

[0014] Compared with the prior art, the above-mentioned technical solution of the present invention has the following beneficial technical effects: By constructing a multi-dimensional fused highway guidance semantic map and a highway time-series link driven by time-series snapshots, the structured semantic expression and historical evolution status tracking of guidance content nodes are realized. This not only supports the automatic identification and classification of multi-source field changes in construction guidance information at the spatial, temporal, and content levels, but also forms an indexable and categorizable change tag set based on field changes, providing a logical closed-loop data foundation and evolution path support for subsequent anomaly propagation analysis, effectively improving the digitalization and refinement level of construction guidance information management; By using the vehicle-road cooperative terminal as the edge perception and linkage execution node of the guidance response, the perceived construction guidance change data is linked with the vehicle-road cooperative communication network to construct an guidance anomaly linkage chain and response command status table, which can help with the dynamic source tracing, conflict type identification, and propagation path construction of guidance anomaly risks. It can also broadcast or push targeted commands to surrounding vehicles or guidance facilities through terminal devices, significantly improving the dynamic guidance scheduling capability and traffic safety guarantee level during highway maintenance and construction. Attached Figure Description

[0015] Figure 1 This is a flowchart of one embodiment of the present invention. Detailed Implementation

[0016] like Figure 1 As shown, the present invention proposes a highway maintenance construction monitoring method based on vehicle-road cooperation, which includes the following steps: S1. Collect highway construction guidance information in highway maintenance and construction tasks under the deployment of vehicle-road cooperative terminals, process the highway construction guidance information, and construct a guidance field index table; analyze the guidance field index table and highway construction guidance information to generate semantic nodes and relation edges, and construct a highway guidance semantic graph. S2, configure recording units for semantic nodes of the highway guidance semantic map, analyze the recording units to generate highway temporal links of guidance information; analyze the highway temporal links to generate change tags; S3 analyzes semantic nodes based on change tags and highway guidance semantic graphs, and constructs guidance anomaly linkage chains; based on vehicle-road cooperative terminals and guidance anomaly linkage chains, it generates response command status tables.

[0017] It should be further explained that, in the specific implementation process, the process of collecting highway construction guidance information in highway maintenance and construction tasks under the deployment of vehicle-road cooperative terminals, processing the highway construction guidance information, constructing a guidance field index table, analyzing the guidance field index table and the highway construction guidance information, generating semantic nodes and relation edges, and constructing a highway guidance semantic graph includes: The vehicle-road cooperative terminal is set up in the construction area and senses the guidance facilities and vehicle behavior through the vehicle-road cooperative network formed by the deployed vehicle-road cooperative terminals; the highway construction guidance information includes, but is not limited to, guidance sign type, deployment location coordinates, visual guidance content, guidance warning level, setting unit identification, estimated activation time, estimated removal time, guidance deployment sequence and construction task number. According to the preset data standardization rules, the highway construction guidance information is structurally transformed, and a guidance identifier with a unique code is generated based on the construction task number and the guidance layout order. The guidance identifier is used to uniquely identify each highway construction guidance information. Highway construction guidance information is encapsulated according to guidance identifier as index basis to generate guidance unit. The guidance unit is an encapsulated data structure of spatial attributes, content attributes and task information of a single guidance facility. A content index table, a spatial coordinate index table and a construction task binding table are constructed through the guidance unit. The content index table, spatial coordinate index table and construction task binding table are integrated through the index primary key to construct the guidance field index table. Specifically, the content index table is used to identify the guiding content and its encoded semantics; the spatial coordinate index table is used to identify the regional grid affiliation of the guiding position and direction; and the construction task binding table is used to identify the logical association between the guiding unit and the corresponding construction task.

[0018] The information encapsulated in the content index table, spatial coordinate index table, and construction task binding table of the inducement field index table are mapped to semantic nodes, respectively. The semantic nodes include inducement content nodes, deployment area nodes, construction task nodes, and timestamp nodes. The guidance content node includes guidance sign type, visual guidance content, and guidance warning level; the deployment area node includes deployment location coordinates and direction angle; the construction task node includes construction task number, associated contract, and operation and maintenance plan identifier; and the timestamp node includes estimated activation time and estimated removal time. Based on the construction task number, layout location coordinates, planned activation time and expected removal time in the highway construction guidance information, relationship edges are constructed. The relationship edges include the attribution relationship edge between the guidance content node and the construction task node, the spatial relationship edge between the guidance content node and the layout area node, and the temporal relationship edge between the guidance content node and the timestamp node. By connecting the corresponding content nodes, deployment area nodes, construction task nodes, and timestamp nodes through ownership relationship edges, spatial relationship edges, and temporal relationship edges, a highway guidance semantic graph is constructed.

[0019] Specifically, the attribution edge, spatial edge, and temporal edge respectively express the linkage structure between the induced content and space, time, and task.

[0020] It should be further explained that, in the specific implementation process, recording units are configured for the semantic nodes of the highway guidance semantic graph, the recording units are analyzed, and the highway temporal links of guidance information are generated; the process of analyzing the highway temporal links and generating change tags is as follows: A recording unit is configured within the semantic nodes of the highway guidance semantic graph to generate a corresponding time-series snapshot node when a change in the field value of the guidance content node is detected. The field value includes a guidance sign type field, a visual guidance content field, and a guidance warning level field. The detection process is based on comparing the field values ​​of the same guidance content node in the previous time-series snapshot node with the currently collected information. When a difference in field values ​​occurs, the change timestamp is obtained, and a corresponding time-series snapshot node is generated. The time-series snapshot node includes a change type field, a change timestamp field, and a value field before and after the change field, which are used to indicate the category of the changed attribute, mark the time point when the change occurred, and record the value of the attribute before and after the change, respectively. The time-series snapshot nodes are associated in the order of the change timestamps, and an index relationship with the corresponding guiding content node is established during the association process to generate a highway time-series link.

[0021] The process involves traversing and comparing each time-series snapshot node in the highway time-series link, extracting field difference data between adjacent time-series snapshot nodes, including field name, value before change, and value after change; determining the field category based on the field name, and generating a tag identifier based on the semantic meaning of the field; constructing change tags according to the field category and change type of the tag identifier, and classifying the change tags into content update tags, spatial adjustment tags, or time-series delay tags; obtaining the index relationship of the corresponding induced content node in the induced field index table for each change tag; and recording the index, field name, change timestamp, and before and after value fields of the corresponding induced content node in each change tag.

[0022] It should be further explained that, in the specific implementation process, based on the change label and the highway guidance semantic graph, the semantic nodes are analyzed to construct the guidance anomaly linkage chain; the process of generating a response instruction status table based on the vehicle-road cooperative terminal and the guidance anomaly linkage chain includes: Based on the change label and its recorded field names, change timestamps and previous and next value fields, combined with the highway guidance semantic graph and time-series snapshot nodes, all guidance content nodes associated with the current construction task node are analyzed. Extract the change timestamp and the value before and after the change fields of each inducement content node, and set abnormal conditions. The abnormal conditions include: the direction angle fields of the deployment area nodes associated with adjacent inducement content nodes are contradictory, and the activation time fields of the corresponding timestamp nodes have overlapping intervals, or the removal time field of the most recent record in multiple time-series snapshot nodes is empty. For induced content nodes that meet the abnormal conditions, configure abnormal propagation marker units, and construct a propagation path structure based on the association between abnormal propagation marker units and deployment area nodes, timestamp nodes, and construction task nodes; For each node in the propagation path structure, attach the field name indicated by the change label as a conflict type label, and set a propagation source identifier field to identify the starting node information and conflict source of the abnormal propagation chain; establish a mapping relationship between the propagation path structure and its corresponding construction task nodes to construct an induced abnormal linkage chain.

[0023] Set up vehicle-road cooperative communication terminal identification tags that match each construction task node, and identify construction scenarios with potential risks of induced anomalies based on the association between construction task nodes and the induced anomaly linkage chain. For each induced anomaly linkage chain, the conflict type label and propagation source identifier field in the propagation path structure are parsed to generate corresponding anomaly induced response instructions. The response instructions include, but are not limited to, anomaly prompt statements, path avoidance suggestions, passage level restrictions, and warning level identifiers. The abnormal guidance response command is transmitted in real time to adjacent vehicles or guidance facility display devices through the vehicle-road cooperative terminal via broadcast, targeted push or hierarchical release. Based on the vehicle response status fed back by the vehicle-road cooperative network, the response command status table and the guidance linkage chain activation status table are updated. Based on the response command status table, the abnormal inducement linkage chain that is still in an unresolved state is continuously monitored. When the unresolved state times out or the scope of impact expands, the scheduling and coordination module is triggered to link the construction management platform to perform risk resolution, on-site verification, or adjustment of construction inducement.

[0024] Example 2: The highway maintenance and construction monitoring system based on vehicle-road cooperation proposed in this invention is applied to the highway maintenance and construction monitoring method based on vehicle-road cooperation described in Example 1. Specifically, it includes a management center, which is communicatively connected to a highway monitoring module, a highway analysis module, and a highway management module. The highway monitoring module is used to collect highway construction guidance information in highway maintenance and construction tasks under the deployment of vehicle-road cooperative terminals, process the highway construction guidance information, construct a guidance field index table, analyze the guidance field index table and highway construction guidance information, generate semantic nodes and relation edges, and construct a highway guidance semantic graph. The highway analysis module is used to configure recording units for the semantic nodes of the highway guidance semantic map, analyze the recording units, generate highway time-series links of guidance information, and analyze the highway time-series links to generate change tags. The highway management module is used to analyze semantic nodes based on change tags and highway guidance semantic graphs, and construct guidance anomaly linkage chains; based on vehicle-road cooperative terminals and guidance anomaly linkage chains, it generates response instruction status tables.

[0025] The embodiments of the present invention have been described in detail above with reference to the accompanying drawings. However, the present invention is not limited thereto. Various changes can be made within the scope of knowledge possessed by those skilled in the art without departing from the spirit of the present invention.

Claims

1. A method for monitoring highway maintenance construction based on vehicle-road cooperation, characterized in that, Includes the following steps: S1. Collect highway construction guidance information in highway maintenance and construction tasks under the deployment of vehicle-road cooperative terminals, process the highway construction guidance information, and construct a guidance field index table; analyze the guidance field index table and highway construction guidance information to generate semantic nodes and relation edges, and construct a highway guidance semantic graph. S2, configure recording units for the guidance content nodes of the semantic nodes in the highway guidance semantic graph, analyze the recording units to generate highway temporal links of guidance information; analyze the highway temporal links to generate change tags, specifically including: A recording unit is configured for the induced content node within the semantic node of the highway induced semantic graph. The recording unit is used to generate a corresponding time-series snapshot node when a change in the field value of the induced content node is detected. The detection process is based on comparing the field value of the same induced content node in the previous time-series snapshot node with the field value in the currently collected information. When a difference in field value occurs, the change timestamp is obtained and a corresponding time-series snapshot node is generated. The process involves traversing and comparing each time-series snapshot node in the highway time-series link, extracting field difference data between adjacent time-series snapshot nodes, including field name, value before change, and value after change; determining the field category based on the field name, and generating tag identifiers based on the semantic meaning of the field; constructing change tags according to the field category and change type of the tag identifier, and classifying change tags into content update tags, spatial adjustment tags, or time-series delay tags; obtaining the index relationship of the corresponding induced content node in the induced field index table for each change tag; and recording the index, field name, change timestamp, and before and after value fields of the corresponding induced content node in each change tag. S3, based on the change label and the highway guidance semantic map, analyzes the semantic nodes and constructs the guidance anomaly linkage chain; based on the vehicle-road cooperative terminal and the guidance anomaly linkage chain, generates a response instruction status table; The process of analyzing semantic nodes and constructing anomaly linkage chains based on change tags and highway guidance semantic graphs includes: Based on the change label and its recorded field names, change timestamps and previous and next value fields, combined with the highway guidance semantic graph and time-series snapshot nodes, all guidance content nodes associated with the current construction task node are analyzed. Extract the change timestamp and before-and-after values ​​of each induced content node, and set abnormal condition conditions; configure abnormal propagation marker units for induced content nodes that meet the abnormal condition conditions, and construct a propagation path structure based on the association between the abnormal propagation marker units and the deployment area nodes, timestamp nodes, and construction task nodes; attach the field name indicated by the change label to each node in the propagation path structure as a conflict type label, and set a propagation source identifier field to identify the starting node information and conflict source of the abnormal propagation chain; establish a mapping relationship between the propagation path structure and its corresponding construction task nodes to construct an induced abnormal linkage chain.

2. The method for monitoring highway maintenance construction based on vehicle-road cooperation according to claim 1, characterized in that, The process of collecting highway construction guidance information in highway maintenance and construction tasks under the deployment of vehicle-road cooperative terminals, processing the highway construction guidance information, and constructing a guidance field index table includes: Vehicle-road cooperative terminals are set up in the construction area, and through the vehicle-road cooperative network formed by the deployed vehicle-road cooperative terminals, the guidance facilities and vehicle behavior are perceived; the highway construction guidance information includes the type of guidance sign, the coordinates of the deployment location, the visual guidance content, the guidance warning level, the identification of the setting unit, the estimated activation time, the estimated removal time, the guidance deployment sequence, and the construction task number. The highway construction guidance information is structurally transformed according to the preset data standardization rules, and guidance identifiers are generated based on the construction task number and the guidance layout sequence. Highway construction guidance information is encapsulated according to guidance identifiers as the index base to generate guidance units. A guidance unit is an encapsulated data structure of spatial attributes, content attributes, and task information of a single guidance facility. A content index table, a spatial coordinate index table, and a construction task binding table are constructed through guidance units. The content index table, spatial coordinate index table, and construction task binding table are integrated through the index primary key to construct a guidance field index table.

3. The method for monitoring highway maintenance construction based on vehicle-road cooperation according to claim 2, characterized in that, The process of analyzing the directional field index table and highway construction directional information, generating semantic nodes and relation edges, and constructing a highway directional semantic graph includes: The information encapsulated in the content index table, spatial coordinate index table, and construction task binding table of the induced field index table are mapped to semantic nodes respectively. The semantic nodes include induced content nodes, deployment area nodes, construction task nodes, and timestamp nodes. The guidance content node includes the guidance sign type, visual guidance content, and guidance warning level; the deployment area node includes the deployment location coordinates and direction angle; the construction task node includes the construction task number, associated contract, and operation and maintenance plan identifier; and the timestamp node includes the expected activation time and the expected removal time. Based on the construction task number, layout location coordinates, planned activation time, and expected removal time in the highway construction guidance information, relationship edges are constructed. These relationship edges include the attribution relationship edge between the guidance content node and the construction task node, the spatial relationship edge between the guidance content node and the layout area node, and the temporal relationship edge between the guidance content node and the timestamp node. The corresponding content nodes, layout area nodes, construction task nodes, and timestamp nodes are connected through the attribution relationship edge, spatial relationship edge, and temporal relationship edge to construct a highway guidance semantic graph.

4. The method for monitoring highway maintenance construction based on vehicle-road cooperation according to claim 3, characterized in that, The process of configuring recording units for semantic nodes in the highway guidance semantic graph, analyzing the recording units, and generating highway temporal links for guidance information also includes: The time-series snapshot node contains a change type field, a change timestamp field, and a value field before and after the change field, which are used to indicate the category of the changed attribute, mark the time point when the change occurred, and record the value of the attribute before and after the change, respectively. The time-series snapshot nodes are associated in the order of the change timestamps, and an index relationship with the corresponding guiding content node is established during the association process to generate the highway time-series link.

5. A method for monitoring highway maintenance construction based on vehicle-road cooperation according to claim 4, characterized in that, The process of generating a response command status table based on the vehicle-road cooperative terminal and the abnormal linkage chain includes: Set up vehicle-road cooperative communication terminal identification tags that match each construction task node, and identify construction scenarios with potential risks of induced anomalies based on the association between construction task nodes and the induced anomaly linkage chain. For each induced anomaly linkage chain, the conflict type label and propagation source identifier fields in the propagation path structure are parsed to generate corresponding anomaly induced response instructions. The response instructions include anomaly prompt statements, path avoidance suggestions, passage level restrictions, and warning level identifiers. The abnormal guidance response command is transmitted in real time to adjacent vehicles or guidance facility display devices through the vehicle-road cooperative terminal via broadcast, targeted push or hierarchical release. Based on the vehicle response status fed back by the vehicle-road cooperative network, the response command status table and the guidance linkage chain activation status table are updated. Based on the response command status table, the abnormal inducement linkage chain that is still in an unresolved state is continuously monitored. When the unresolved state times out or the scope of impact expands, the scheduling and coordination module is triggered to link the construction management platform to perform risk resolution, on-site verification, or adjustment of construction inducement.

6. A highway maintenance construction monitoring system based on vehicle-road cooperation, specifically applied to the highway maintenance construction monitoring method based on vehicle-road cooperation as described in any one of claims 1 to 5, comprising a management center, characterized in that, The management center's communication connections include a highway monitoring module, a highway analysis module, and a highway management module. The highway monitoring module is used to collect highway construction guidance information in highway maintenance and construction tasks under the deployment of vehicle-road cooperative terminals, process the highway construction guidance information, construct a guidance field index table, analyze the guidance field index table and highway construction guidance information, generate semantic nodes and relation edges, and construct a highway guidance semantic graph. The highway analysis module is used to configure recording units for the semantic nodes of the highway guidance semantic map, analyze the recording units, generate highway time-series links of guidance information, and analyze the highway time-series links to generate change tags. The highway management module is used to analyze semantic nodes based on change tags and highway guidance semantic graphs, and construct guidance anomaly linkage chains; based on vehicle-road cooperative terminals and guidance anomaly linkage chains, it generates response instruction status tables.

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