Intelligent network connection environment-oriented expressway guardrail self-moving guide robot

Abstract

The invention belongs to the technical field of road patrol, and particularly relates to an expressway guardrail self-moving guide robot for an intelligent network connection environment, which comprises a motion control module, a remote control module, a remote communication module, a congestion sensing module and an acousto-optic prompt module, the motion control module comprises an STM32F429 chip, a motor driving module, a motor and an encoder; the STM32F429 chip is connected with the motor driving module and used for controlling the motor to move on the guardrail and judging road condition information. The remote control module comprises a wireless transceiver, a wireless network device and a wireless terminal device. The remote communication module comprises an SIM900A module, a smart phone and a computer terminal. According to the invention, the road congestion condition can be monitored through the sensor, and the reminding signal is sent to the rear coming vehicle, so that a driver is helped to avoid the congestion area, the road traffic efficiency is effectively improved, and the traffic congestion is reduced.

Description

Technical Field

[0001] The present invention belongs to the technical field of highway inspection, and in particular relates to a highway guardrail self-moving guiding robot for an intelligent network environment. Background Art

[0002] Tidal commuting on weekdays, large-scale tourism on holidays, and sudden traffic accidents can easily cause long-term, long-distance, and difficult-to-dissipate congestion nodes and slow-moving sections on bottleneck sections such as highway bridges and tunnels. Vehicles on highways travel at high speeds. In bad weather, visibility is low and braking performance is weakened. Vehicles behind can easily rear-end slow-moving vehicles in front, causing secondary accidents, further exacerbating congestion and forming a vicious cycle. You may face the following problems:

[0003] (1) Increased risk of rear-end collision

[0004] During holidays, as a large number of people choose to travel, road congestion becomes a common problem. In this case, the vehicles behind may have difficulty noticing the traffic situation ahead in time due to obstructed vision or distracted attention, thus increasing the risk of rear-end collision.

[0005] (2) It limits the effective communication between traffic management personnel and vehicle owners or related personnel

[0006] In some cases, traffic management personnel need to provide instructions, warnings or obtain necessary information to vehicle owners, which is essential for smooth traffic flow and accident prevention. This limitation leads to the inability of effective communication between traffic management personnel and vehicle owners or other relevant personnel, which in turn increases the difficulty of managing and coordinating traffic. This may lead to delays or failures in information, and vehicle owners may not be able to obtain necessary guidance and warnings in a timely manner, which has a negative impact on traffic safety and smoothness.

[0007] (3) Unable to obtain real-time road conditions and traffic information

[0008] Traffic management departments and drivers are unable to obtain timely road conditions and traffic information, which may lead to traffic decisions based on outdated or inaccurate data, increasing the risk of traffic jams and accidents. Inaccurate traffic data may cause vehicles to idle for long periods of time and increase driving distance, thereby increasing fuel consumption and emissions, increasing air pollution and greenhouse gas emissions, and having a negative impact on the environment.

[0009] (4) Traditional congestion relief methods are costly, risky, and inefficient

[0010] In order to effectively relieve congestion, a large number of traffic police need to be dispatched to the scene to conduct command and guidance work. This will take up a lot of police resources, especially in the case of severe congestion, more manpower is needed to deal with it, which will put pressure on the police department and affect the execution of other police tasks. The working environment of traffic police at congestion sites such as highways is also quite dangerous. They need to be in high-speed traffic and face the risk of being hit by unruly drivers. They may even face the threat of other accidents and injuries, which poses a serious threat to the safety of traffic police. In addition, the large amount of human resources and related equipment required for congestion relief will result in high costs.

[0011] (5) Low efficiency of emergency response and traffic control

[0012] Lack of connection may lead to untimely or inaccurate information transmission, and ineffective cooperation and coordinated actions between departments. This may lead to confusion, conflict or duplication of work, thus affecting the accuracy and efficiency of emergency response and traffic control. At the same time, it will also affect the speed and quality of handling disasters and accidents, leading to greater losses and risks.

[0013] The above factors greatly affect and restrict the efficiency, safety and accuracy of traffic management and emergency response. Summary of the invention

[0014] The purpose of the present invention is to provide a self-moving guiding robot for highway guardrails in an intelligent networked environment, which can monitor road congestion through sensors and send reminder signals to vehicles coming from behind to help drivers avoid congested areas, effectively improve road traffic efficiency, and reduce the occurrence of traffic congestion.

[0015] The technical solution adopted by the present invention is as follows:

[0016] A highway guardrail self-moving guiding robot for an intelligent network environment, comprising a motion control module, a remote control module, a remote communication module, a congestion sensing module and an acoustic and optical prompt module;

[0017] The motion control module includes an STM32F429 chip, a motor drive module, a motor, and an encoder; the STM32F429 chip is connected to the motor drive module and is used to control the motor to move on the guardrail and determine road condition information.

[0018] The remote control module includes a wireless transceiver device, a wireless network device and a wireless terminal device;

[0019] The remote communication module includes a SIM900A module, a smart phone and a computer terminal;

[0020] The remote control module is connected to the remote communication module, and is used to interact with the wireless terminal device for remote communication and control. The smart phone and computer terminal are wirelessly connected to the wireless terminal device, and the smart phone and computer terminal are wirelessly connected to the wireless terminal device using Wi-Fi, 4G, and 5G. It is used to establish a communication connection with the wireless terminal device, transmit data, and receive control instructions.

[0021] The congestion sensing module includes a monitoring camera and a sensor module; the sensor module adopts any one of a radar, a laser sensor, an infrared sensor, and a photoelectric sensor.

[0022] The congestion perception module is used to obtain the traffic conditions and congestion status of the highway in real time through the camera and the sensor module, and share the collected information with the wireless terminal device for distribution, judgment and issuing instructions.

[0023] The sound and light prompt module includes an LED screen, a speaker and a microphone.

[0024] The sound and light prompt module displays text or image information through the LED screen, generates sound prompts through the speaker, and then receives sound signals through the microphone for human-computer voice recognition interaction.

[0025] The motion control module includes a shell, a display screen is installed on the top of the shell, a camera is installed on the top of the shell below the display screen, two driving wheel groups are installed on the side wall of the shell, an upper driven wheel group is installed on the side wall of the shell between the driving wheel groups, and a lower driven wheel group is installed on the side wall of the shell below the upper driven wheel group. The motion control module, remote control module, remote communication module, congestion perception module and sound and light prompt module are all installed in the shell, and the motor is transmission connected to the driving wheel group.

[0026] The technical effects achieved by the present invention are:

[0027] The self-moving guiding robot for highway guardrails in an intelligent network environment of the present invention monitors congestion through sensors and sends reminder signals to vehicles coming from behind to help drivers avoid congested areas, thereby improving road traffic efficiency and reducing the occurrence of traffic congestion. In addition, the transmission and display of collected information such as road, traffic and vehicle status provide users with real-time traffic information and navigation suggestions. This can improve the safety and driving efficiency of drivers and reduce the occurrence of traffic accidents.

[0028] The self-moving guiding robot for highway guardrails in an intelligent network environment integrates a mobile speaker and a microphone into the vehicle communication system to achieve real-time voice communication between the car owner and other relevant parties, thereby improving the driving experience and safety. The car owner can communicate with other drivers or passengers through voice commands during driving to avoid distracted operation.

[0029] The self-moving guiding robot for highway guardrails facing the intelligent network environment of the present invention can accurately locate the vehicle when an accident occurs, and send a real-time notification to the dispatching command center so that rescue personnel can quickly arrive at the scene for rescue. This can greatly shorten the rescue time and improve the rescue efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 2 is a schematic diagram of the rear view structure of an embodiment of the present invention.

[0031] In the accompanying drawings, the components represented by the reference numerals are listed as follows:

[0032] 1. Display screen; 2. Camera; 3. Upper driven wheel set; 4. Driving wheel set; 5. Lower driven wheel set. DETAILED DESCRIPTION

[0033] In order to make the purpose and advantages of the present invention more clearly understood, the present invention is specifically described below in conjunction with embodiments. It should be understood that the following text is only used to describe one or several specific embodiments of the present invention, and does not strictly limit the scope of protection of the specific claims of the present invention.

[0034] like Figure 1 As shown, a highway guardrail self-moving guiding robot for an intelligent network environment includes a motion control module, a remote control module, a remote communication module, a congestion sensing module, and an audio-visual prompt module;

[0035] The motion control module includes an STM32F429 chip, a motor driver module, a motor, and an encoder; the STM32F429 chip is connected to the motor driver module to control the movement of the motor on the guardrail and determine road condition information.

[0036] The remote control module includes wireless transceiver equipment, wireless network equipment and wireless terminal equipment;

[0037] The remote communication module includes SIM900A module, smart phone and computer terminal;

[0038] The remote control module is connected to the remote communication module, and is used to interact with the wireless terminal device for remote communication and control. Smart phones and computer terminals are wirelessly connected to the wireless terminal device, and smart phones and computer terminals are wirelessly connected to the wireless terminal device using Wi-Fi, 4G, and 5G. It is used to establish a communication connection with the wireless terminal device, transmit data, and receive control instructions.

[0039] The congestion sensing module includes a monitoring camera and a sensor module; the sensor module adopts any one of a radar, a laser sensor, an infrared sensor, and a photoelectric sensor.

[0040] The congestion perception module uses cameras and sensor modules to obtain real-time traffic conditions and congestion status of the highway, and shares the collected information with wireless terminal devices for distribution, judgment and issuing of instructions.

[0041] The sound and light prompt module includes an LED screen, a speaker and a microphone.

[0042] The sound and light prompt module displays text or image information through the LED screen, uses the speaker to produce sound prompts, and then receives sound signals through the microphone for human-computer voice recognition interaction.

[0043] The motion control module includes a shell, a display screen 1 is installed on the top of the shell, a camera 2 is installed on the top of the shell below the display screen 1, two driving wheel groups 4 are installed on the side wall of the shell, an upper driven wheel group 3 is installed on the side wall of the shell between the driving wheel groups, and a lower driven wheel group 5 is installed on the side wall of the shell below the upper driven wheel group 3. The motion control module, remote control module, remote communication module, congestion perception module and sound and light prompt module are all installed in the shell, and the motor is connected to the driving wheel group 4 in transmission.

[0044] Among them, display screen 1: by installing display screen 1 on the vehicle dashboard or center console, road congestion, navigation information, warning prompts, etc. can be displayed in real time. A liquid crystal display screen 1 or an LED display screen 1 can be used to provide clear and visible information display.

[0045] Camera 2: Camera 2 is installed to monitor road traffic conditions and identify congestion. Camera 2 can use a high-definition camera 2, use image processing technology to analyze road traffic, and detect and identify congested areas in real time.

[0046] Upper driven wheel set 3: The base is connected to the guardrail by designing a rolling device with adjustable or adaptive functions. The upper driven wheel set can flexibly adjust and adapt to changes in the shape and size of the guardrail to ensure effective fixation and stability.

[0047] Active wheel set 4: The active wheel set 4 is provided as a moving part of the base, and the base can be moved autonomously by a motor drive. The active wheel set 4 can automatically adjust the position of the base according to the road conditions monitored in real time, so as to realize the reminder and warning signal sending to the rear vehicles.

[0048] Lower driven wheel set 5: A movable driven wheel set is provided under the base to provide additional stability and support. The lower driven wheel set 5 can be adaptively adjusted according to the unevenness or inclination of the road surface, ensuring that the base is in close contact with the road and enhancing the firmness of the installation.

[0049] Speaker: Integrate the speaker into the vehicle communication system to send a warning signal to the vehicle behind. By controlling the speaker to emit a specific sound prompt, such as a warning sound, voice prompt or other preset audio signal, it can attract the attention of the vehicle behind and remind the driver to avoid congested areas.

[0050] The above structure can achieve the following functions:

[0051] (1) Remind vehicles coming from behind when traffic is congested:

[0052] Step 1: Equip vehicles with sensors. By installing radar, cameras or laser sensors and other equipment, the vehicle conditions and congestion levels on the road can be monitored in real time.

[0053] Step 2: Data processing and analysis: The data obtained by the sensor is input into the data processing system, and the data is processed and analyzed to determine whether there is congestion.

[0054] Step 3: Congestion detection and warning signal transmission: When the data processing system detects congestion, it sends a warning signal to the rear vehicle through communication technology (such as the vehicle communication system or Wi-Fi).

[0055] Step 4: Reminder method. The warning signal can be sent to the rear vehicle by sound, light signal or by displaying a warning message on the vehicle dashboard.

[0056] Road congestion is monitored through sensors, and warning signals are sent to vehicles coming from behind to help drivers avoid congested areas.

[0057] (2) The outer shell is also provided with a rolling device (base) suitable for a variety of guardrails:

[0058] Step 1: Base Design: Use an adjustable or adaptive rolling device on the base to accommodate different types of guardrail shapes and sizes.

[0059] Step 2: Rolling mechanism. You can use a retractable support rod, a rotating roller system, or other mechanical device to ensure that the base can roll to accommodate a variety of guardrails.

[0060] Step 3: Shape and Size Study. Conduct research and analysis of common guardrail shapes and sizes to determine the suitability of the base rolling device and make necessary adjustments and optimizations.

[0061] By designing an adjustable or adaptive rolling device, the base can adapt to different types of guardrail shapes and sizes, improving the flexibility and adaptability of the installation.

[0062] (3) Mobile speakers and microphones can communicate with car owners in a timely manner:

[0063] Step 1: In-vehicle communication system: Integrate mobile speakers and microphones into the in-vehicle communication system to support real-time voice communication between car owners and other relevant parties.

[0064] Step 2: Audio equipment: Use high-quality speakers and microphones to ensure clear sound transmission.

[0065] Step 3: Voice recognition technology: Use voice recognition technology to convert the owner's voice into text or commands so that the vehicle can perform corresponding operations according to the owner's requirements.

[0066] Step 4: Connect the vehicle communication system. The vehicle communication system needs to be connected to the mobile network or other communication network to achieve remote voice communication between the vehicle and the owner.

[0067] By integrating mobile speakers and microphones into the in-vehicle communication system, real-time voice communication between car owners and other relevant parties can be achieved, improving driving experience and safety.

[0068] (4) Internet connection function: the information collected by the robot can provide real-time information pushed to the platform or website:

[0069] Step 1: Internet of Vehicles technology: Using Internet of Vehicles technology, vehicles can communicate with the Internet and other vehicles or infrastructure.

[0070] Step 2: Robotics: The vehicle is equipped with a robot to collect information about the road, traffic, and vehicle status.

[0071] Step 3: Data transmission protocol: Use data transmission protocols (such as HTTP, MQTT) to ensure that the information collected by the robot can be quickly and accurately transmitted to the designated platform or website.

[0072] Step 4: Real-time information display. The information collected by the robot is transmitted to the platform or website through the Internet of Vehicles system, providing real-time traffic information, congestion reports, road conditions and navigation suggestions.

[0073] Through the Internet of Vehicles technology and robotics technology, the transmission and display of road, traffic, vehicle status and other information collected by robots can be realized, providing users with real-time traffic information and navigation suggestions.

[0074] (5) When an accident occurs, the accident location and vehicle can be located in time, facilitating rescue vehicles to arrive quickly:

[0075] Step 1: Vehicle Positioning System: Use the Global Positioning System (GPS), inertial navigation system or other positioning technology to determine the exact location of the vehicle.

[0076] Step 2: Accident detection technology: Use sensors such as accelerometers, collision sensors or cameras inside the vehicle to monitor whether the vehicle has an accident.

[0077] Step 3: Real-time notification mechanism: When an accident occurs, the vehicle sends a real-time notification to the dispatch command center through the Internet of Vehicles system, and provides the accident location and vehicle identification information.

[0078] Step 4: Dispatch and command response. After receiving the real-time notification sent by the vehicle, the dispatch and command center can forward this information to the rescue service so that they can arrive at the scene quickly to provide assistance.

[0079] Through the vehicle positioning system and accident detection technology, the vehicle can be accurately located when an accident occurs, and real-time notifications can be sent to the dispatch command center so that rescue personnel can arrive at the scene quickly to provide assistance.

[0080] (6) Connect with the dispatching command center:

[0081] Step 1: Internet of Vehicles technology: Through Internet of Vehicles technology, vehicles can communicate and transmit data with the dispatching command center in real time.

[0082] Step 2: Communication protocol: Use the protocol used by the vehicle communication system, mobile network or other communication network to ensure reliable communication between the vehicle and the dispatch command center.

[0083] Step 3: Dispatch system integration. The dispatch system has corresponding interfaces and functions, can receive real-time information sent by vehicles, and dispatch and direct according to the information.

[0084] Step 4: Integration functions: The integration process includes functions such as vehicle identification, location transmission, task assignment, and dispatch response to ensure effective communication and coordination between vehicles and the dispatch command center.

[0085] Through the integration of Internet of Vehicles technology and dispatching system, real-time communication and data transmission between vehicles and dispatching command center can be realized to dispatch and command vehicle tasks and driving routes.

[0086] The above is only a preferred embodiment of the present invention. It should be noted that, for those skilled in the art, several improvements and modifications can be made without departing from the principles of the present invention, and these improvements and modifications should also be considered as the protection scope of the present invention. The structures, devices and operating methods not specifically described and explained in the present invention shall be implemented according to the conventional means in the art unless otherwise specified and limited.

Claims

1. A highway guardrail self-moving guidance robot for an intelligent network environment, characterized by: It includes motion control module, remote control module, remote communication module, congestion sensing module and sound and light prompt module; The motion control module includes an STM32F429 chip, a motor drive module, a motor, and an encoder; The remote control module includes a wireless transceiver device, a wireless network device and a wireless terminal device; The remote communication module includes a SIM900A module, a smart phone and a computer terminal; The congestion sensing module includes a monitoring camera and a sensor module; The sound and light prompt module includes an LED screen, a speaker and a microphone.

2. According to claim 1, a highway guardrail self-moving guiding robot for an intelligent network environment is characterized by: The motion control module comprises a shell, a display screen (1) is mounted on the top of the shell, a camera (2) is mounted on the top of the shell below the display screen (1), two driving wheel groups (4) are mounted on the side wall of the shell, an upper driven wheel group (3) is mounted on the side wall of the shell between the driving wheel groups, and a lower driven wheel group (5) is mounted on the side wall of the shell below the upper driven wheel group (3), the motion control module, the remote control module, the remote communication module, the congestion sensing module and the sound and light prompt module are all mounted in the shell, and the motor is connected to the driving wheel group (4) in a transmission manner.

3. The highway guardrail self-moving guiding robot for intelligent network environment according to claim 1, characterized in that: The STM32F429 chip is connected to the motor drive module and is used to control the motor to move on the guardrail and determine road condition information.

4. The highway guardrail self-moving guiding robot for intelligent network environment according to claim 1, characterized in that: The remote control module is connected to the remote communication module and is used to interact with the wireless terminal device for remote communication and control. The smart phone and computer terminal are wirelessly connected to the wireless terminal device and are used to establish a communication connection with the wireless terminal device and transmit data and receive control instructions.

5. The highway guardrail self-moving guiding robot for intelligent network environment according to claim 1, characterized in that: The congestion perception module is used to obtain the traffic conditions and congestion status of the highway in real time through the camera and the sensor module, and share the collected information with the wireless terminal device for distribution, judgment and issuing instructions.

6. The highway guardrail self-moving guided robot for intelligent network environment according to claim 1, characterized in that: The sensor module adopts any one of radar, laser sensor, infrared sensor and photoelectric sensor.

7. The highway guardrail self-moving guiding robot for intelligent network environment according to claim 1, characterized in that: The sound and light prompt module displays text or image information through the LED screen, generates sound prompts through the speaker, and then receives sound signals through the microphone for human-computer voice recognition interaction.

8. The highway guardrail self-moving guiding robot for intelligent network environment according to claim 1, characterized in that: The smartphone and computer terminal are wirelessly connected to the wireless terminal device using Wi-Fi, 4G, or 5G.

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