Highway maintenance construction whole-chain safety supervision method based on wisdom command middle station

Abstract

The application discloses a highway maintenance construction whole-chain safety supervision method based on a smart command middle station, and particularly relates to the technical field of highway maintenance construction safety supervision, and the method comprises the following steps: in response to a construction task instruction, verifying safety resources, safety qualifications and a safety rule library by a task safety self-checking engine, issuing a safety authorization code and dispatching a safety instruction data packet after all the above are passed; constructing a process safety verification chain to realize process safety closed verification and handover control; distributing multi-dimensional safety coding of construction resources and establishing a safety archive library; dynamically deducing a safety domain containing a core operation area and a warning buffer area, and triggering active blocking when an external dangerous source approaches; realizing cross-scene identity association through multi-modal identity verification, and realizing associated early warning through group safety analysis. The application realizes strong coupling closed-loop management and control of construction tasks and safety constraints, and significantly improves the safety level of highway maintenance construction.

Description

Technical Field

[0001] This invention relates to the field of highway maintenance and construction safety supervision technology, and more specifically, to a method for full-chain safety supervision of highway maintenance and construction based on a smart command platform. Background Technology

[0002] Highway maintenance and construction are characterized by numerous work sites, long and wide routes, high mobility, and many hidden procedures. During the construction process, there are multiple risk factors such as unsafe behavior of personnel, unsafe condition of machinery and equipment, and interference from external traffic flow. How to effectively supervise the safety of the entire maintenance and construction process is an important issue in the fields of intelligent transportation and engineering safety management.

[0003] Currently, the following technical solutions are mainly used for safety supervision of highway maintenance and construction: The first type involves deploying fixed cameras or drones and using image recognition algorithms to automatically detect and alert to unsafe behaviors of construction workers. The second type involves equipping construction workers with smart safety helmets, positioning wristbands, and other terminals to collect real-time location information. Combined with electronic fence technology, an alarm is triggered when a worker exceeds the preset safe working area. The third category involves deploying hazardous behavior identification models on cloud or edge devices to achieve real-time risk calculation and graded early warning. Some solutions also combine digital twin technology to build virtual models of construction sites for risk simulation and decision support.

[0004] However, the above-mentioned existing technical solutions still have the following shortcomings: First, existing solutions generally adopt a passive safety supervision model of discovery-early warning-response. The safety monitoring system and the construction task management system are independent of each other. There is a time difference and information gap between the assignment of construction tasks and the issuance of safety constraints, resulting in a delay in safety response. Secondly, maintenance and construction involve multiple interconnected procedures, and there are safety dependencies between these procedures. Existing technologies lack a closed-loop control mechanism for safety verification between procedures. Safety hazards in a certain procedure are often only discovered after subsequent procedures are executed. By this time, the defects have already been covered or accumulated, increasing rectification costs and safety risks. Secondly, the personnel, equipment, materials and other resources at the construction site are scattered in different work areas. The existing solutions do not have a unified identification and management system for each resource. When transferring across regions, identity verification needs to be repeated, making it difficult to achieve full-chain traceability and safety management.

[0005] In addition, most existing electronic fences are statically set up, and cannot dynamically adjust the safety boundaries as construction tasks progress, thus having limited ability to actively block unexpected events such as external traffic intrusion.

[0006] Therefore, there is an urgent need for a proactive safety supervision method that can achieve strong coupling between construction tasks and safety constraints, cover closed-loop verification of the entire construction process, and support traceability of construction resources throughout their entire life cycle. Summary of the Invention

[0007] In order to overcome the above-mentioned defects of the prior art, embodiments of the present invention provide a method for full-chain safety supervision of highway maintenance and construction based on a smart command platform, so as to solve the problems mentioned in the background art.

[0008] To achieve the above objectives, the present invention provides the following technical solution: a method for full-chain safety supervision of highway maintenance and construction based on a smart command platform, comprising the following steps: S1. In response to the command to generate a construction task, the task safety self-checking engine sequentially performs safety resource assurance verification, safety qualification verification, and safety rule base comparison on the construction task. Only when all verifications pass will a safety authorization code for the construction task be issued. S2. The security authorization code and construction instructions are integrated and encapsulated into a security instruction data packet, which is then dispatched to the construction task execution terminal. The security instruction data packet carries a set of security constraints. S3. Decompose the construction task into a sequence of procedures arranged in chronological order and with safety dependencies, and construct a safety verification chain that includes safety preconditions and safety verification indicators. S4. During the execution of the process sequence, the safety verification index of each process is verified one by one. After the verification is passed, the process is marked as a safe closed state. The subsequent process is allowed to be executed only when the adjacent preceding process is in a safe closed state. S5. Multi-dimensional safety coding for construction resource allocation. The multi-dimensional safety coding includes category code, safety level bit, subject ID and timestamp. Safety coding activity data of construction resources are collected at each stage of task execution and collected into a unified safety archive. S6. Based on the real-time location and progress data of the construction task, dynamically generate a dynamic safety domain including the core work area, warning buffer zone and traffic transition zone, and push the dynamic safety domain to the construction terminal in real time. S7. During the execution of construction tasks, when social traffic flow or external hazards are detected approaching the warning buffer zone, active blocking control is triggered to send safety control instructions to the affected construction equipment and / or construction personnel.

[0009] Preferably, the safety resource assurance verification in step S1 includes: automatically searching for the on-duty status of safety protection equipment in the area associated with the construction task. The safety protection equipment includes warning cones, anti-intrusion devices and safety railings. When any safety protection equipment is missing or in an abnormal state, the task assignment is blocked and a replacement request is automatically generated. Safety qualification verification includes: matching and verifying the type of certificates, validity period, training records, and safety behavior records of the personnel required for the construction task with the safety risk level of the task type; The safety rule base comparison includes comparing the location closure information, operation time conditions, weather conditions, and traffic flow information of the construction task with the built-in safety rule base item by item to determine whether it meets the preset safety operation specifications.

[0010] Preferably, the set of safety constraints in step S2 includes the boundary of the construction activity area, the safety distance threshold range from the moving vehicle, and the alarm triggering conditions; The safety instruction data packets sent to the construction terminal adopt a data packet format that integrates encrypted security tokens and execution instructions. The encrypted security token carries a set of security constraints and forms a strong binding relationship with the execution instructions. When the construction terminal receives a task instruction, it automatically parses the encrypted security token and loads the set of security constraints into the terminal's local security rule engine. In the event of a network interruption, the construction terminal independently executes the security blocking logic based on the local security rule engine.

[0011] Preferably, in step S3, the construction task is decomposed into multiple minimum safety units, and each minimum safety unit is defined with its basic attributes, safety prerequisites, safety verification indicators and safety blocking conditions. Adjacent minimum security units are connected by a security verification chain. The security verification indicators include two levels: fast verification indicators and deep verification indicators. Fast verification indicators are performed in real time within the task time frame. Once the verification is passed, it immediately moves to the next unit. Deep verification indicators are tracked in parallel with the task execution and are verified after the test cycle is completed. When the deep verification indicator fails to meet the standard, it is tracked to the corresponding minimum security unit and triggers the rule update of the security rule base.

[0012] Preferably, in step S4, the digital signing step of the safety handover form is enforced at the process handover location: the person in charge of the previous process signs a declaration that the process safety verification has been completed through the safety terminal, and the person in charge of the next process signs a confirmation that the preconditions have been met and the safety preparation has been completed. The aforementioned dual digital signatures are stored in the system. If either signatory fails to complete the signing, the process handover operation is prohibited.

[0013] Preferably, in step S5, the structure of the multidimensional security encoding is: category code - security level bit - subject ID code - timestamp - verification sum; The category code is used to identify the type of construction resources, including construction personnel, machinery and equipment, and safety protection facilities; The safety level is dynamically adjusted based on the safety compliance score of construction resources within the most recent preset time period. The method also includes the step of configuring a safety feature vector space for each construction resource. The safety feature vector space includes personnel certification information and safety training records, equipment maintenance parameters and safety device status records, material batch source and test report number. In the safety self-inspection stage of construction task assignment, matching fields are extracted from the safety feature vector space for identity pre-matching based on task type and risk level.

[0014] Preferably, in step S6, the dynamic safety domain further includes a safety traceability zone, which is configured within the perimeter of the core work area to continuously monitor the spatiotemporal activity trajectory of construction resources passing through the area, providing spatiotemporal data support for post-event safety retrospective. The dynamic safety domain evolves its boundary position in real time based on the progress data of the construction task. The progress data includes the identifier of the currently executed process and the coordinates of the construction equipment. The boundaries of the core operation area, warning buffer zone, traffic transition zone and safety traceability zone are adjusted in response to the movement of the construction equipment.

[0015] Preferably, after step S7, a task closed-loop feedback step is also included: collecting the verification results of the safety verification chain, the dynamic safety domain boundary change trajectory, the construction resource safety coding activity record, and the scenario-level risk enhancement identifier time series of the entire construction task process, and aggregating them into a unified safety archive of construction resources. The safety compliance score of each construction resource is updated based on the collected data. The safety compliance score is used to determine the priority of the construction resources in subsequent task scheduling. Construction resources with a safety compliance score higher than a preset threshold are given priority scheduling, while construction resources with a safety compliance score lower than a preset lower threshold are restricted from being assigned.

[0016] Preferably, the method also includes a multimodal identity verification step: deploying integrated identity sensing devices at construction area entrances and exits, key intersections, and work surface transition locations. The integrated identity sensing device includes a combination of a camera, a radio frequency identification reader / writer, and a Bluetooth beacon receiving module. When a construction object passes through the aforementioned locations, the integrated identity sensing device automatically collects its multimodal identity features. The multimodal identity features include visual features and recognition results, radio frequency identification information and the unique code of the smart safety helmet, motion features and posture trajectory, and spatiotemporal trajectory continuity. Cross-modal registration and mutual verification are performed on the multimodal identity features to establish a continuous identity association for the construction object across regions and scenarios, eliminating the need for repeated verification during the transfer between different work areas on the same construction day.

[0017] Preferably, it also includes a group safety analysis step: based on continuous identity association across scenarios, the spatial distance matrix, relative motion vector and logical association network formed based on task division of multiple objects at the construction site are modeled in real time, the spatial relationship features obtained by the aforementioned modeling are matched with the dangerous scenario templates in the safety knowledge base, construction objects with strong correlation are identified and marked as group linkage units, and when any object in the group linkage unit triggers a safety warning, the system automatically pushes the associated warning to all objects in the group linkage unit.

[0018] The technical effects and advantages of this invention are as follows: 1. This invention uses a task security self-inspection engine to verify the security resources, security qualifications, and security rule base of construction tasks. It issues a security authorization code only when all verifications are passed. The security authorization code is then integrated with the construction instructions and packaged into a security instruction data packet carrying a set of security constraints, which is then dispatched to the construction terminal. This mechanism changes the passive security mode of dispatching first and then verifying in the prior art, and realizes proactive prevention and control of security authorization before execution of instructions. At the same time, the construction terminal loads a local security rule engine, which can still independently execute security blocking logic when the network is interrupted, avoiding security response failure due to communication delay or interruption. 2. This invention decomposes construction tasks into the smallest safety units and constructs a safety verification chain. Each process must be verified by safety verification indicators and marked as a safe closed state before subsequent processes can be executed. This ensures that safety hazards are handled in a closed loop within the process boundary, preventing the accumulation and transmission of defects. At the same time, this invention dynamically generates a dynamic safety domain, including a core work area, a warning buffer zone, a traffic transition zone, and a safety traceability zone, based on the real-time location and progress data of the construction task. When social traffic flow or external hazards approach the warning buffer zone, active blocking control is triggered, sending deceleration, suspension, or evacuation instructions to the affected equipment and personnel. The synergistic effect of the process verification chain and the dynamic safety domain realizes comprehensive active safety management from the process execution to external environmental interference. 3. This invention assigns a unified multi-dimensional safety code to all construction resources, including construction personnel, machinery, and materials. The code structure includes a category code, a safety level bit, a subject ID code, and a timestamp. A safety feature vector space is configured for each resource. Safety coding activity data is collected at each stage of task execution and aggregated into a unified safety archive, enabling traceable management of construction resources across stages and work areas. Based on this, this invention achieves continuous identity association across scenarios through multimodal authentication. Through group security analysis, construction objects with strong correlations are marked as group linkage units. When any object triggers an alert, a related alert is pushed to all objects in the group, forming a collaborative safety management mode of point alert and group response, which significantly improves the safety management efficiency in multi-workpoint, dispersed construction scenarios. Attached Figure Description

[0019] Figure 1 This is a flowchart of the method of the present invention. Detailed Implementation

[0020] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.

[0021] This invention provides a method for full-chain safety supervision of highway maintenance and construction based on a smart command platform. The smart command platform includes a task safety self-inspection engine, a process safety verification chain manager, a construction resource coding management module, a dynamic safety domain inference engine, and a multimodal recognition and analysis module. The modules exchange data with each other through an industrial Internet of Things communication protocol.

[0022] Multimodal authentication methods are as follows: Integrated identity sensing devices are deployed at construction area entrances and exits, key intersections, and work surface transition locations. Each integrated identity sensing device includes a camera, an RFID reader, and a Bluetooth beacon receiving module. When construction personnel, machinery, or vehicles pass through these locations, the integrated identity sensing device automatically collects multimodal identity features, including: visual features and facial recognition results collected by the camera, RFID identity information and unique smart helmet codes read by the RFID reader, motion features and posture trajectories acquired by the Bluetooth beacon receiving module, and the spatiotemporal trajectory continuity recorded by the system. The intelligent command platform performs cross-modal registration and mutual verification of the aforementioned multimodal identity features. For example, it binds and verifies the facial images captured by the camera with the personnel ID read by radio frequency identification, and verifies the consistency between the continuous trajectory obtained by Bluetooth beacons and spatiotemporal information. After the verification is successful, a continuous identity association for the construction object is established across regions and scenarios. Within the same construction day, when the construction object moves from the first work area to the second work area, the system automatically identifies its identity and continues the previous safety status record without the need for repeated verification.

[0023] As attached Figure 1 As shown, the specific implementation steps are as follows: S1. Mission safety self-check verification When the project management system generates a construction task instruction, the instruction is not directly assigned to the construction personnel. Instead, it first enters the task safety self-check engine, which performs the following three verifications in sequence: First, the system verifies the safety resources. It automatically retrieves the on-duty status of safety protection equipment in the area associated with the construction task. Safety protection equipment includes warning cones, anti-intrusion devices, and safety railings. The system obtains the deployment location and working status of each device through IoT sensors or positioning tags. If any safety protection equipment is missing or in an abnormal state, the system blocks the task assignment and automatically generates a replacement request to be sent to the materials management department. Second, safety qualification verification. The system retrieves the certificate type, validity period, training records, and safety behavior records of the construction personnel required for the construction task, and matches them with the safety risk level of the current task type. For example, for high-risk tasks such as night milling, the system requires that the operators must have special training records for night construction and a recent safety behavior score of not less than 80 points. Third, the safety rule base comparison: The system compares the location closure information of the construction task (such as the chainage range and the number of closed lanes), the operation time conditions (day shift or night shift), the real-time weather conditions (wind speed, precipitation, visibility), and the traffic flow information of the road section with the safety operation specifications in the built-in safety rule base item by item. For example, when the wind speed exceeds level six, the built-in safety rule base prohibits the assignment of high-altitude operation tasks. Only after all three verifications above have passed will the task safety self-check engine issue a safety authorization code to the construction task management module.

[0024] S2, Security Command Data Packet Dispatch The system integrates the security authorization code with the construction instructions and encapsulates them into a security instruction data packet. This data packet adopts a format that combines an encrypted security token with execution instructions. The encrypted security token carries a set of security constraints, including the boundary of the construction activity area (e.g., the work area must not exceed the section from K102+300 to K102+800), the safe distance threshold range from traveling vehicles (e.g., the distance between any construction equipment and passing vehicles must not be less than 5 meters), and alarm triggering conditions (e.g., triggering a level one audible and visual warning when the distance to a vehicle is less than 8 meters). Safety instruction data packets are dispatched to construction task execution terminals, including smart safety helmets, vehicle-mounted terminals, and mobile handheld terminals. When a construction terminal receives an instruction, it automatically parses the encrypted security token and loads the set of safety constraints into the terminal's local security rule engine. When a network interruption occurs, the construction terminal independently executes safety blocking logic (such as triggering equipment deceleration or personnel evacuation instructions) based on the locally stored safety constraints, without relying on cloud command.

[0025] S3. Construct a process safety verification chain The system decomposes the construction task into multiple indivisible minimum safety units. Each minimum safety unit is defined with the following attributes: basic attributes (work step name, standard time, required resource set), safety preconditions (conditions that must be met before this work step starts), safety verification indicators (quality or safety indicators that must be verified and passed after this work step is completed), and safety interruption conditions (safety event types that trigger and interrupt this work step during execution). Adjacent minimum safety units are connected by a safety verification chain. The safety verification indicators include two levels: rapid verification indicators and deep verification indicators. Rapid verification indicators are performed in real time within the task time range. For example, the paving temperature is collected in real time by the equipment sensors and compared with the design standard. Once the verification is passed, it immediately moves to the next unit. Deep verification indicators are tracked in parallel with the task execution and are verified after the completion of a complete test cycle (such as compaction test, which requires waiting for the specimen to be formed). When the deep verification indicator fails to meet the standard, the system tracks to the corresponding minimum safety unit and triggers an automatic rule update of the safety rule base.

[0026] S4. Process safety verification and handover During the execution of the process sequence, the system performs safety verification indicators for each process one by one. After the verification is passed, the system marks the process as a safe closed state. Only when a process is marked as a safe closed state can its adjacent subsequent processes be allowed to execute. If the safety verification indicators of a certain process fail, the system blocks the start of the subsequent processes and generates an exception record containing the blocking location, the reason for the blocking, and the failed indicators. At the process handover point, the system enforces the digital signing step of the safety handover form. The person in charge of the previous process signs a declaration that the process safety verification has been completed through the safety terminal; the person in charge of the next process signs a confirmation that the preconditions have been met and the safety preparation has been completed. The aforementioned dual digital signatures are stored in the system. If either party fails to complete the signing, the process handover operation is prohibited by the system until the signing is completed.

[0027] S5, Multidimensional Security Coding Allocation and Traceability The system assigns a unified multi-dimensional safety code to all construction resources, including personnel, machinery and equipment, vehicles, safety protection facilities, and maintenance materials. The coding structure is: category code - security level bit - main ID code - timestamp - verification sum. The category code uses two digits to identify the resource type: 01 represents construction personnel, 02 represents machinery and equipment, 03 represents vehicles, 04 represents safety protection facilities, and 05 represents maintenance materials. The safety level is represented by a single letter: A (safety compliance score not lower than 95 points in the most recent 30 working days), B (80 to 95 points), C (below 80 points or items requiring rectification), and D (temporarily restricted from use). The safety level is dynamically adjusted based on the safety compliance score of the construction resource within the most recent preset time period. The main ID code is a 12-digit unique identifier, which is the safety file number for personnel and a hash value of the factory serial number and asset number for equipment. The timestamp is the 16-digit code generation time, and the verification sum is a two-digit check code. The system also configures a safety feature vector space for each construction resource. This vector space includes: personnel certification information and safety training records, equipment maintenance parameters and safety device status records, material batch source and test report number. During the safety self-inspection process of construction task assignment, the system extracts necessary fields from the safety feature vector space for identity pre-matching based on task type and risk level. During task execution, safety coding activity data collected at each stage (such as personnel entry and exit records, equipment operating parameter changes, and material consumption traceability) are collected into a unified construction resource safety archive.

[0028] S6, Dynamic Security Domain Evolution The system dynamically generates a safety domain based on the real-time location data and construction progress data of the construction task. The safety domain includes four levels: the core operation area (the area where the actual construction machinery and personnel are located), the warning buffer zone (the dynamic distance extending outward from the core operation area, which is 10 to 15 meters for milling operations and 5 to 8 meters for paving operations), the traffic transition zone (a gradual area used to guide social vehicles to change lanes safely), and the safety tracking zone (the area within the perimeter of the core operation area used to monitor the trajectory of construction resources). The dynamic safety domain evolves its boundary position in real time based on the progress data of the construction task. The progress data includes the identifier of the currently executed process and the coordinates of the construction equipment. For example, when the paver moves forward, the boundary of the core working area automatically moves forward with the leading edge of the paver as the reference; after the roller completes a compaction section, the boundary of the safety traceability area moves backward accordingly. All safety domain boundary data is pushed to the construction terminal in real time.

[0029] S7, Active Blocking Control During the execution of construction tasks, the system continuously monitors social traffic flow and external hazards through millimeter-wave radar and visual sensors. When social vehicles or external hazards are detected approaching the boundary of the warning buffer zone, the system activates a first-level warning and pushes audible and visual alarms to all on-site work terminals. When the hazard continues to approach and breaks through the warning buffer zone into the boundary of the core work area, the system triggers active blocking control: it sends deceleration or suspension commands to the controllers of the affected construction equipment, sends the highest priority evacuation command to the safety terminals worn by the affected construction personnel, and controls the gates or enclosures to adjust the closure form to form physical isolation.

[0030] The task closure feedback and safety score update method is as follows: After step S7, the system performs closed-loop feedback of the task, collecting the following data throughout the entire construction task process: the verification results of each process in the safety verification chain (including the pass status of rapid verification and in-depth verification), the change trajectory of the dynamic safety domain boundary, the safety coding activity records of each construction resource (such as the time of personnel entering and leaving the safety domain, whether the equipment has triggered safety blocking), and the scenario-level risk enhancement label time series. The scenario-level risk enhancement label time series refers to the quantitative scoring record of the comprehensive risk level of the construction scenario by the system at fixed time intervals (such as every 30 seconds). The scoring dimensions include personnel safety factors, equipment safety factors, environmental safety factors, traffic safety factors, and process safety factors. The above data is collected into a unified safety archive for construction resources. The system updates the safety compliance scores of each construction resource based on the collected data. For example, if a construction worker does not trigger any safety alarms during the task and actively assists in eliminating potential hazards, their safety compliance score increases by 5 points; if a road roller causes an early warning due to a safety device failure, its safety compliance score decreases by 10 points. The safety compliance score is used to determine the priority of construction resources in subsequent task scheduling: construction resources with a safety compliance score higher than a preset threshold (e.g., 90 points) are given priority scheduling; construction resources with a safety compliance score lower than a preset lower threshold (e.g., 60 points) are restricted from being assigned until rectification is completed.

[0031] The secure collaboration methods for groups are as follows: Based on the completion of continuous identity association across scenarios, the system performs real-time modeling of the spatial relationships between multiple objects on the construction site. The modeling content includes: spatial distance matrix between objects (real-time Euclidean distance between any two construction objects), relative motion vector (velocity difference and direction difference between objects), and logical association network formed based on task division (such as the binding relationship between members of the same work group, machinery and operators). The system performs pattern matching between the aforementioned spatial relationship features and predefined hazardous scenario templates in the safety knowledge base. For example, when construction workers appear within the excavator's rotation radius and the distance is less than the safety threshold, a human-machine crossover risk template is matched; when the relative motion vectors of the material transport vehicle and the paver conform to a specific pattern, a docking safety lock template is matched. The system identifies construction objects with strong correlations (such as personnel in the same shift or combinations of machinery and operators) and marks them as group linkage units. When any object in a group linkage unit triggers a safety warning, the system automatically pushes the associated warning to all objects in the group linkage unit. For example, if a worker accidentally enters a dangerous area, the system not only alerts the worker, but also pushes warning information to his / her shift leader, the safety supervisor on the same work surface, and surrounding workers, realizing collaborative safety management with point warning and group response.

[0032] To better understand the technical solution of this invention, a complete application example is used below for detailed explanation: Taking the milling and repaving maintenance of asphalt pavement on a certain expressway as an example, the construction section is from K100+000 to K102+000, and the first and second lanes are planned to be closed from 21:00 at night to 5:00 the next day. First, the system deploys integrated identity sensing equipment at the entrance of the construction area, and all personnel entering the site complete the identity association through facial recognition and radio frequency verification of smart safety helmets; The task safety self-check engine detected that the traffic volume on this section of road was low at night but the wind speed forecast was level 5. The built-in rule base allowed the operation. The safety resource guarantee verification showed that two of the required anti-intrusion devices were offline. The system automatically generated a replacement request. After the backup device came online, it was re-verified and passed. After the safety authorization code was issued, the safety instruction data packet was dispatched to the smart safety helmets of 12 workers and the vehicle terminals of 4 devices. The construction task is broken down into processes such as traffic closure, milling, sweeping, applying tack coat, paving, compaction, and opening to traffic. Each process has rapid verification indicators (such as real-time comparison of milling depth sensors) and depth verification indicators (such as compaction specimen testing). The dynamic safety zone evolved from K100+000 to K102+000 as the paver advanced. At 2:00 a.m., a private vehicle accidentally entered the warning buffer zone. The system sent a stop command to the road roller and triggered an evacuation alarm on all personnel terminals. The vehicle was driven away by the sound and light system outside the core work area, and no accident occurred. After construction is completed, the system summarizes the verification chain records of each process, updates the safety and compliance scores of all participants and equipment, and provides a basis for subsequent task scheduling.

[0033] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for full-chain safety supervision of highway maintenance and construction based on an intelligent command platform, characterized by: Includes the following steps: S1. In response to the command to generate a construction task, the task safety self-checking engine sequentially performs safety resource assurance verification, safety qualification verification, and safety rule base comparison on the construction task. Only when all verifications pass will a safety authorization code for the construction task be issued. S2. The security authorization code and construction instructions are integrated and encapsulated into a security instruction data packet, which is then dispatched to the construction task execution terminal. The security instruction data packet carries a set of security constraints. S3. Decompose the construction task into a sequence of procedures arranged in chronological order and with safety dependencies, and construct a safety verification chain that includes safety preconditions and safety verification indicators. S4. During the execution of the process sequence, the safety verification index of each process is verified one by one. After the verification is passed, the process is marked as a safe closed state. The subsequent process is allowed to be executed only when the adjacent preceding process is in a safe closed state. S5. Multi-dimensional safety coding for construction resource allocation. The multi-dimensional safety coding includes category code, safety level bit, subject ID and timestamp. Safety coding activity data of construction resources are collected at each stage of task execution and collected into a unified safety archive. S6. Based on the real-time location and progress data of the construction task, dynamically generate a dynamic safety domain including the core work area, warning buffer zone and traffic transition zone, and push the dynamic safety domain to the construction terminal in real time. S7. During the execution of construction tasks, when social traffic flow or external hazards are detected approaching the warning buffer zone, active blocking control is triggered to send safety control instructions to the affected construction equipment and / or construction personnel.

2. The method according to claim 1, characterized in that: The safety resource assurance verification in step S1 includes: automatically retrieving the on-duty status of safety protection equipment in the area associated with the construction task. Safety protection equipment includes warning cones, anti-intrusion devices, and safety railings. When any safety protection equipment is missing or in an abnormal state, the task assignment is blocked and a replacement request is automatically generated. Safety qualification verification includes: matching and verifying the type of certificates, validity period, training records, and safety behavior records of the personnel required for the construction task with the safety risk level of the task type; The safety rule base comparison includes comparing the location closure information, operation time conditions, weather conditions, and traffic flow information of the construction task with the built-in safety rule base item by item to determine whether it meets the preset safety operation specifications.

3. The method according to claim 1, characterized in that: The set of safety constraints in step S2 includes the boundary of the construction activity area, the safe distance threshold range from the moving vehicle, and the alarm triggering conditions; The safety instruction data packets sent to the construction terminal adopt a data packet format that integrates encrypted security tokens and execution instructions. The encrypted security token carries a set of security constraints and forms a strong binding relationship with the execution instructions. When the construction terminal receives a task instruction, it automatically parses the encrypted security token and loads the set of security constraints into the terminal's local security rule engine. In the event of a network interruption, the construction terminal independently executes the security blocking logic based on the local security rule engine.

4. The method according to claim 1, characterized in that: In step S3, the construction task is decomposed into multiple minimum safety units, each of which is defined with its basic attributes, safety preconditions, safety verification indicators and safety blocking conditions. Adjacent minimum security units are connected by a security verification chain. The security verification indicators include two levels: fast verification indicators and deep verification indicators. Fast verification indicators are performed in real time within the task time frame. Once the verification is passed, it immediately moves to the next unit. Deep verification indicators are tracked in parallel with the task execution and are verified after the test cycle is completed. When the deep verification indicator fails to meet the standard, it is tracked to the corresponding minimum security unit and triggers the rule update of the security rule base.

5. The method according to claim 1, characterized in that: In step S4, the digital signing step of the safety handover form is enforced at the process handover location: the person in charge of the previous process signs a declaration that the process safety verification has been completed through the safety terminal, and the person in charge of the next process signs a confirmation that the preconditions have been met and the safety preparation has been completed. The aforementioned dual digital signatures are stored in the system. If either signatory fails to complete the signing, the process handover operation is prohibited.

6. The method according to claim 1, characterized in that: In step S5, the structure of the multidimensional security coding is: category code - security level bit - subject ID code - timestamp - verification sum; The category code is used to identify the type of construction resources, including construction personnel, machinery and equipment, and safety protection facilities; The safety level is dynamically adjusted based on the safety compliance score of construction resources within the most recent preset time period. The method also includes the step of configuring a safety feature vector space for each construction resource. The safety feature vector space includes personnel certification information and safety training records, equipment maintenance parameters and safety device status records, material batch source and test report number. In the safety self-inspection stage of construction task assignment, matching fields are extracted from the safety feature vector space for identity pre-matching based on task type and risk level.

7. The method according to claim 1, characterized in that: In step S6, the dynamic safety domain also includes a safety traceability zone. The safety traceability zone is configured within the perimeter of the core work area and is used to continuously monitor the spatiotemporal activity trajectory of construction resources passing through the area, providing spatiotemporal data support for post-event safety retrospective. The dynamic safety domain evolves its boundary position in real time based on the progress data of the construction task. The progress data includes the identifier of the currently executed process and the coordinates of the construction equipment. The boundaries of the core operation area, warning buffer zone, traffic transition zone and safety traceability zone are adjusted in response to the movement of the construction equipment.

8. The method according to claim 1, characterized in that: Step S7 is followed by a task closed-loop feedback step: collecting the verification results of the safety verification chain throughout the entire construction task process, the dynamic safety domain boundary change trajectory, the construction resource safety coding activity record, and the scenario-level risk enhancement identifier time series, and aggregating them into a unified safety archive of construction resources. Based on the collected data, the safety compliance score of each construction resource is updated. The safety compliance score is used to determine the priority of construction resources in subsequent task scheduling. Construction resources with a safety compliance score higher than a preset threshold are given priority scheduling, while construction resources with a safety compliance score lower than a preset lower threshold are restricted from being assigned.

9. The method according to claim 1, characterized in that: It also includes a multimodal identity verification step: deploying integrated identity sensing devices at construction area entrances and exits, key intersections, and work surface transition locations. The integrated identity sensing device includes a combination of a camera, a radio frequency identification reader / writer, and a Bluetooth beacon receiving module. When a construction object passes through the aforementioned locations, the integrated identity sensing device automatically collects its multimodal identity features. The multimodal identity features include visual features and recognition results, radio frequency identification information and the unique code of the smart safety helmet, motion features and posture trajectory, and spatiotemporal trajectory continuity. Cross-modal registration and mutual verification are performed on the multimodal identity features to establish a continuous identity association for the construction object across regions and scenarios, eliminating the need for repeated verification during the transfer between different work areas on the same construction day.

10. The method according to claim 9, characterized in that: It also includes a group safety analysis step: based on continuous identity association across scenarios, the spatial distance matrix, relative motion vector and logical association network formed based on task division are modeled in real time among multiple objects at the construction site. The spatial relationship features obtained by the aforementioned modeling are matched with the dangerous scenario templates in the safety knowledge base to identify construction objects with strong correlation and mark them as group linkage units. When any object in the group linkage unit triggers a safety warning, the system automatically pushes the associated warning to all objects in the group linkage unit.

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