Expressway special situation disposal system based on remote sensing and control

Abstract

The invention relates to the technical field of expressway traffic management, and discloses an expressway special situation disposal system based on remote sensing and control, which comprises a sound-light alarm remote synchronization module, a visual sensing module, a VNC remote control module, a data interaction module, a compatibility adaptation module and a special situation disposal priority ranking module. The sound-light alarm remote synchronization module converts the special situation sound-light alarm analog signal into a digital signal and transmits the digital signal at a high speed through a 10-gigabit network; the visual sensing module collects vehicle information and on-site audio and video through a camera and a sound pick-up, and whole-course traceability is achieved. The VNC remote control module supports remote operation charging and weighing terminals and completes high-frequency special situation business disposal; the compatibility adaptation module guarantees seamless connection with an existing system, the priority ranking module optimizes disposal resource allocation, the special situation disposal efficiency and management efficiency are improved, a central station centralized management and one-station multi-point operation mode is adapted, and intelligent and few-person development of highway toll collection operation is promoted.

Description

[0001] This invention relates to the field of highway traffic management technology, and in particular to a highway emergency response system based on remote sensing and control. Background Technology

[0002] As highway toll collection shifts towards self-service and ETC (Electronic Toll Collection) models, the operational efficiency and service quality of toll lanes have become key factors influencing the travel experience. In the current mixed scenario of self-service toll collection and ETC, lanes frequently experience special situations such as license plate recognition errors, abnormal vehicle type matching, equipment malfunctions, and abnormal weight control data. These special situations require timely intervention by toll collectors to ensure smooth traffic flow.

[0003] Current emergency response methods primarily rely on on-site manual intervention: when an emergency occurs in a lane, toll collectors must cross the lane from the toll booth or management area to reach the location of the vehicle in distress. They then manually verify vehicle information, operate the toll terminal, and reset the equipment to complete the response. This approach has significant drawbacks: the manual lane crossing process poses safety hazards, and the round-trip process consumes a significant amount of time, leading to prolonged waiting times for vehicles in distress, severely impacting lane traffic efficiency and hindering the overall capacity of the highway. Furthermore, emergency response depends heavily on on-site personnel. With the trend towards intelligent and less-staffed toll collection operations, the traditional model requires substantial manpower and struggles to achieve centralized and efficient management of multiple lanes and stations, resulting in low management efficiency. Therefore, a highway emergency response system based on remote sensing and control is proposed to address these issues. Summary of the Invention

[0004] The purpose of this invention is to solve the problems in the background art and to propose a highway emergency response system based on remote sensing and control.

[0005] To achieve the above objectives, the present invention adopts the following technical solution: A highway emergency response system based on remote sensing and control includes an audible and visual alarm remote synchronization module, a visual sensing module, a VNC remote control module, and a data interaction module. The audible and visual alarm remote synchronization module is used to convert the analog audible and visual alarm signals of highway lane special situations into digital signals. The visual perception module is used to collect lane vehicle information and environmental audio information. The VNC remote control module is used to remotely operate the lane toll terminal and equipment control terminal. The data interaction module is used to realize the data transmission between each module and the main station control center.

[0006] In the aforementioned highway emergency response system based on remote sensing and control, the audible and visual alarm remote synchronization module includes an alarm uploading unit, a signal conversion unit, and a serial port service unit. The alarm uploading unit collects lane emergency audible and visual alarm signals, the signal conversion unit performs analog-to-digital signal conversion, and the serial port service unit connects to a high-speed transmission network, satisfying the real-time signal transmission requirements of the following formula:

[0007] in, This refers to the total time it takes for the alarm signal to travel from the data acquisition point to its reception at the main station. For signal acquisition response time, This refers to the signal conversion and processing time.

[0008] In the aforementioned highway emergency response system based on remote sensing and control, the visualization sensing module includes an image acquisition unit, an audio acquisition unit, and an information analysis unit. The image acquisition unit includes a lane-side camera and a wheel axle recognition camera, used to acquire vehicle license plate features, wheel axle parameters, and lane environment images. The audio acquisition unit is used to acquire on-site audio information in the lane. The information analysis unit processes the acquired image and audio data synchronously to achieve full traceability of vehicle information and the service process.

[0009] In the aforementioned highway emergency response system based on remote sensing and control, the VNC remote control module supports parameter configuration, equipment start-up and shutdown, function reset, and anomaly handling operations for lane toll terminals. By establishing an encrypted control channel, the main station control center can remotely issue commands to remote lane equipment and provide feedback on execution results, forming a closed loop for emergency response.

[0010] In the aforementioned highway emergency response system based on remote sensing and control, the data interaction module adopts a 10 Gigabit Ethernet transmission architecture, supports parallel data transmission from multiple modules, and its data transmission bandwidth meets the requirements of the following formula:

[0011] in, This represents the total transmission bandwidth of the data interaction module. The number of lanes to be connected. To meet the bandwidth requirements for single-lane data transmission, This is the bandwidth redundancy factor, with a value ranging from 1.2 to 1.5.

[0012] In the aforementioned highway emergency response system based on remote sensing and control, the frame rate and resolution of the image acquisition unit can be dynamically adjusted according to the lane traffic density. The information parsing unit uses a feature matching algorithm to identify vehicle license plates and axle information, and the recognition accuracy satisfies the following formula:

[0013] in, To improve the accuracy of information recognition, The number of vehicle information items that are correctly identified. This represents the total number of vehicle information entries collected.

[0014] In the aforementioned highway emergency response system based on remote sensing and control, the system also includes a compatibility adaptation module. This module enables data interoperability with existing highway toll collection systems, weighing systems, and monitoring systems through a standardized interface protocol, without requiring hardware modifications to existing equipment.

[0015] In the aforementioned highway emergency response system based on remote sensing and control, the VNC remote control module is equipped with a hierarchical operation permission mechanism, which assigns different remote operation permissions according to the management role, including parameter modification permissions, equipment control permissions, and data viewing permissions. All operation behaviors generate log files and are stored on the main station server.

[0016] In the aforementioned highway emergency response system based on remote sensing and control, the audible and visual alarm remote synchronization module is equipped with a signal verification unit to perform integrity verification on the converted digital signal. Signals that pass the verification are marked as valid signals and transmitted to the main station. Signals that fail the verification trigger a re-acquisition process to ensure that no emergency alarm information is missed.

[0017] In the aforementioned highway emergency response system based on remote sensing and control, the system further includes an emergency response priority ranking module. Based on the emergency type, lane congestion status, and vehicle traffic demand, the system uses a hierarchical analysis algorithm to determine the emergency response priority. The main control center allocates response resources according to the priority order to improve overall response efficiency.

[0018] Compared with existing technologies, the advantages of this invention are: 1. This invention utilizes the analog signal digitization conversion technology of the audible and visual alarm remote synchronization device and the high-speed transmission capability of the 10 Gigabit network, combined with the VNC remote business processing function to remotely control terminals such as lane toll collection and weighing. This enables remote, real-time perception, rapid response, and closed-loop processing of special situations, replacing the traditional role of toll collectors frequently crossing lanes for on-site handling. It fundamentally reduces the safety risks that personnel may face when crossing lanes, significantly reduces reliance on on-site manpower, effectively saves labor costs, and avoids interference with lane traffic order during manual on-site handling, indirectly improving the overall smoothness of lane traffic.

[0019] 2. This invention leverages the real-time video communication function of the visual intercom system in the visual auxiliary equipment, the precise vehicle information collection function of the lane-side camera and the wheel axle recognition camera, and combines the efficient operation capabilities of VNC remote business processing for high-frequency special situation services such as remote modification of license plate and vehicle type and handling of violation menus. It constructs a new model for centralized handling of special situations at multiple sites and in multiple lanes by the central station, thereby reconstructing the special situation handling business process, promoting the upgrading of the central station management model, significantly improving the overall coordination and management refinement of special situation handling at multiple sites, and steadily advancing toll collection operations towards a smarter and less manned development trend, greatly improving overall management efficiency.

[0020] 3. This invention provides drivers and passengers with real-time and intuitive remote communication services through a video intercom system, quickly responding to and resolving their questions and needs during emergency handling. Simultaneously, relying on the simultaneous audio and video recording functions of wheel axle recognition cameras and lane-specific high-definition microphones, it achieves full traceability of emergency handling, improving service response efficiency, standardizing service behavior outside the service booth, effectively shortening the average emergency handling time, reducing waiting time for emergency vehicles, improving the experience of drivers and passengers traveling on highways, compensating for the shortcomings of traditional supervision methods in emergency handling, achieving full-process supervision of service behavior, and ensuring the standardization and fairness of emergency handling. Attached Figure Description

[0021] Figure 1 This is a diagram showing the overall architecture of the highway emergency response system proposed in this invention. Figure 2 This is a flowchart illustrating the interaction between modules in the highway emergency response system proposed in this invention. Detailed Implementation

[0022] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0023] Reference Figure 1-2 As shown, a highway emergency response system based on remote sensing and control comprises a remote synchronization module for audible and visual alarms, a visual sensing module, a VNC remote control module, a data interaction module, a compatibility adaptation module, and an emergency response priority sorting module. Each module works collaboratively through standardized interfaces, adapting to the centralized management of highway central stations and the multi-point operation mode of one station. It can achieve remote and efficient emergency response without hardware modification of existing toll collection, weighing, and monitoring systems. The audible and visual alarm remote synchronization module includes an alarm uploading unit, a signal conversion unit, a serial port service unit, and a signal verification unit, wherein: The alarm upload unit uses integrated sensor components and is deployed in the equipment area of ​​each lane of the highway to collect audible and visual alarm signals in real time when special situations occur, including analog signals triggered by various special situations such as equipment failure alarms and abnormal traffic alarms; The signal conversion unit uses a high-precision signal converter to convert the acquired analog signals into digital signals. During the conversion process, an anti-interference coding algorithm is used to reduce the impact of electromagnetic interference in the lane environment on signal transmission. The serial port service unit connects to the 10 Gigabit Ethernet transmission network via an RJ45 interface to achieve high-speed transmission of digital signals to the main control center. The transmission process must meet the real-time requirements of the following formula:

[0024] In practical deployments, by optimizing the response speed of the signal acquisition circuit, Controlled to the millisecond level, while employing a hardware-accelerated signal conversion scheme to shorten the time. ,make sure To meet the need for immediate response to special situations; The signal verification unit uses the CRC32 verification algorithm to perform integrity verification on the converted digital signal. During the verification process, a verification code is generated and transmitted synchronously with the signal data. The main station receiving end compares the verification code to determine whether the signal is complete. If the verification fails, the alarm uploading unit is triggered to re-acquire the signal to ensure that no special alarm information is missed during transmission. The visualization perception module consists of an image acquisition unit, an audio acquisition unit, and an information parsing unit, and is implemented as follows: The image acquisition unit includes a lane-side camera and a wheel-axle recognition camera. The lane-side camera is deployed at the lane entrance and corresponding to the toll window, while the wheel-axle recognition camera is deployed in a preset detection area on the lane surface. Both support dynamic frame rate and resolution adjustment and can adaptively switch working parameters according to the lane traffic density: when the traffic density is high, the frame rate is automatically increased to ensure that no vehicle information is missed; when the traffic density is low, the resolution is appropriately reduced to save transmission bandwidth. The audio acquisition unit uses a high-definition microphone, which is deployed outside the toll booth and in key areas of the lane to collect on-site audio information, including driver inquiries and equipment operation sounds, so as to achieve synchronous acquisition of audio and image information. The information parsing unit incorporates a feature matching algorithm to extract license plate features and wheel axle parameters from the acquired vehicle images. By comparing these features with a pre-set vehicle information feature database, accurate vehicle information identification is achieved. The identification accuracy satisfies the following formula:

[0025] To ensure this accuracy requirement, a multi-dimensional feature fusion mechanism is introduced into the feature matching algorithm. This mechanism combines multiple feature parameters such as license plate character shape, number of axles, and wheelbase for joint recognition, reducing the error of single feature recognition. At the same time, the information parsing unit timestamps the synchronously collected image and audio data to form associated audio and video files, enabling full traceability of the emergency response process. The VNC remote control module is built on an encrypted communication protocol, and its specific implementation is as follows: The module supports remote operation of lane toll terminals, weighing terminals and equipment control terminals by the main station control center, covering core business operations such as parameter modification, equipment start and stop, function reset and anomaly handling. Operation commands are transmitted through an encrypted control channel, which uses the AES-256 encryption algorithm to ensure the security and confidentiality of command transmission. The module is configured with a hierarchical access control mechanism, which divides management roles into three levels: super administrator, ordinary administrator, and operator. Super administrators have full remote operation permissions and can perform core operations such as parameter modification and permission allocation. Ordinary administrators have device control permissions and data viewing permissions and can perform operations such as device start-up and shutdown and anomaly handling. Operators only have data viewing permissions and can view emergency handling records and device operating status. All remote operations generate detailed operation logs, which include information such as the operator, operation time, operation content, and execution result. The log files are uploaded to the main server in real time for storage, and the storage time meets the relevant management specifications to facilitate subsequent traceability and auditing. The data interaction module adopts a 10 Gigabit Ethernet transmission architecture, and its specific implementation is as follows: As the data transmission hub between various functional modules and the main station control center, the module supports parallel transmission of data from multiple modules, and its total transmission bandwidth must meet the following formula:

[0026] Among them, bandwidth redundancy coefficient The value is 1.3. The value of 1.3 is the preferred value within the range. This value takes into account the peak fluctuation of lane data transmission and the future business expansion needs, ensuring the stability of data transmission even in extreme cases. The module has a built-in data distribution and scheduling mechanism that classifies and prioritizes the data transmitted by each module: alarm signal data has the highest priority to ensure priority transmission of emergency information; audio and video data has the second highest priority to ensure real-time visualization and handling; and non-real-time data such as operation logs has the lowest priority, and batch transmission is used to save bandwidth resources. The module supports adaptation to various network environments such as 10 Gigabit Ethernet and LAN. Through an adaptive network adjustment algorithm, it dynamically adjusts the data transmission rate according to the real-time status of network bandwidth to avoid data transmission interruption or delay caused by network fluctuations. The compatibility adaptation module enables data interoperability with existing highway toll collection systems, weighing systems, and monitoring systems through standardized interface protocols, including but not limited to HTTP, TCP / IP, and MODBUS protocols. The module has a built-in protocol conversion unit that can convert the data format of this system into the data format supported by the existing system, and at the same time convert the feedback data of the existing system into the format that this system can recognize, without the need for hardware modification of existing equipment, thus reducing system deployment costs. The emergency response priority ranking module employs an analytic hierarchy process (AHP) algorithm to construct an emergency response priority evaluation system. Evaluation indicators include emergency type, lane congestion status, and vehicle traffic demand. Regarding emergency type, equipment malfunction emergencies have a higher priority than traffic anomalies. Regarding lane congestion status, emergencies in congested lanes have a higher priority than emergencies in uncongested lanes. Regarding vehicle traffic demand, emergencies involving emergency vehicles have a higher priority than those involving ordinary vehicles. The module uses this algorithm to calculate and rank the received emergency information. The main control center allocates resources according to priority, prioritizing high-priority emergencies to improve overall response efficiency. The workflow of the system described in this invention is as follows: Special situation perception stage: When a special situation occurs in a highway lane, the alarm uploading unit of the audible and visual alarm remote synchronization module collects the audible and visual alarm analog signal, converts it into a digital signal through the signal conversion unit, and after the signal verification unit completes the integrity verification, it is transmitted to the main station control center through the data interaction module; at the same time, the image acquisition unit and audio acquisition unit of the visualization perception module synchronously collect vehicle information, lane environment images and on-site audio information, which are processed by the information parsing unit and transmitted to the main station control center; Priority sorting phase: The emergency handling priority sorting module receives emergency information forwarded by the main station control center, determines the emergency handling priority through the hierarchical analysis algorithm, and feeds back the sorting results to the main station control center; Remote handling phase: Based on the audio and video information transmitted by the visual perception module, the main station staff verifies the specific situation of the emergency and issues the corresponding remote operation instructions through the VNC remote control module. The instructions are transmitted to the corresponding terminal in the lane through the data interaction module to complete the emergency handling operation. Results Feedback Phase: After the lane terminal executes the remote operation command, it sends the execution result back to the main control center through the data interaction module. Once the staff confirms that the handling was successful, the emergency handling is completed. If the execution result shows that the handling was unsuccessful, the operation command is readjusted and the remote handling steps are repeated until the emergency handling is completed, forming a closed-loop management. Through the above specific implementation methods, the present invention realizes remote perception, centralized control and efficient handling of special situations on highways, effectively improves the efficiency of special situation handling and management, reduces the safety risks caused by manual intervention, and ensures good compatibility between the system and existing equipment, and has broad application prospects.

[0027] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A highway emergency response system based on remote sensing and control, characterized in that, It includes a remote synchronization module for sound and light alarms, a visual sensing module, a VNC remote control module, and a data interaction module; The audible and visual alarm remote synchronization module is used to convert the analog audible and visual alarm signals of highway lane special situations into digital signals. The visual perception module is used to collect lane vehicle information and environmental audio information. The VNC remote control module is used to remotely operate the lane toll terminal and equipment control terminal. The data interaction module is used to realize the data transmission between each module and the main station control center.

2. The highway emergency response system according to claim 1, characterized in that, The remote synchronization module for audible and visual alarms includes an alarm uploading unit, a signal conversion unit, and a serial port service unit. The alarm uploading unit collects lane emergency audible and visual alarm signals, the signal conversion unit performs analog-to-digital signal conversion, and the serial port service unit connects to a high-speed transmission network, meeting the real-time signal transmission requirements of the following formula: in, This refers to the total time it takes for the alarm signal to travel from the data acquisition point to its reception at the main station. For signal acquisition response time, This refers to the signal conversion and processing time.

3. The highway emergency response system according to claim 1, characterized in that, The visualization perception module includes an image acquisition unit, an audio acquisition unit, and an information analysis unit. The image acquisition unit includes a lane-side camera and a wheel axle recognition camera, used to acquire vehicle license plate features, wheel axle parameters, and lane environment images. The audio acquisition unit is used to acquire on-site audio information of the lane. The information analysis unit processes the acquired image and audio data synchronously to achieve full traceability of vehicle information and service processes.

4. The highway emergency response system according to claim 1, characterized in that, The VNC remote control module supports parameter configuration, device start / stop, function reset, and anomaly handling operations for lane toll terminals. By establishing an encrypted control channel, it enables the main station control center to remotely issue commands to remote lane devices and provide feedback on execution results, forming a closed loop for handling special situations.

5. The highway emergency response system according to claim 1, characterized in that, The data interaction module adopts a 10 Gigabit Ethernet transmission architecture, supports parallel data transmission from multiple modules, and its data transmission bandwidth meets the requirements of the following formula: in, This represents the total transmission bandwidth of the data interaction module. The number of lanes to be connected. To meet the bandwidth requirements for single-lane data transmission, This is the bandwidth redundancy factor, with a value ranging from 1.2 to 1.

5.

6. The highway emergency response system according to claim 3, characterized in that, The frame rate and resolution of the image acquisition unit can be dynamically adjusted according to the lane traffic density. The information parsing unit uses a feature matching algorithm to identify vehicle license plates and wheel axle information, and the recognition accuracy satisfies the following formula: in, To improve the accuracy of information recognition, The number of vehicle information items that are correctly identified. This represents the total number of vehicle information entries collected.

7. The highway emergency response system according to claim 1, characterized in that, The system also includes a compatibility adaptation module, which enables data interoperability with existing highway toll collection systems, weighing systems, and monitoring systems through a standardized interface protocol, without requiring hardware modifications to existing equipment.

8. The highway emergency response system according to claim 1, characterized in that, The VNC remote control module is equipped with a hierarchical operation permission mechanism, which assigns different remote operation permissions according to the management role, including parameter modification permission, device control permission and data viewing permission, and all operation behaviors generate log files and store them on the main station server.

9. The highway emergency response system according to claim 1, characterized in that, The audible and visual alarm remote synchronization module is equipped with a signal verification unit to perform integrity verification on the converted digital signal. Signals that pass the verification are marked as valid signals and transmitted to the main station. Signals that fail the verification trigger a re-acquisition process to ensure that no emergency alarm information is missed.

10. The highway emergency response system according to claim 1, characterized in that, The system also includes a special situation handling priority sorting module, which uses a hierarchical analysis algorithm to determine the special situation handling priority based on the special situation type, lane congestion status and vehicle traffic demand. The main station control center allocates handling resources according to the priority order to improve the overall handling efficiency.

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