Curve vehicle early warning system

Abstract

The utility model relates to the technical field of curve driving early warning, in particular to a curve vehicle early warning system. The utility model discloses a curve vehicle early warning system which comprises a data acquisition and processing module, a host early warning module, a host communication module, a slave early warning module and a slave communication module. The system acquires vehicle information of vehicles running on a road through the data acquisition and processing module, accurately analyzes vehicle states through the AI data model, transmits analysis results and early warning information to passing vehicles through the wireless communication module, and reminds drivers of the passing vehicles in real time through acousto-optic early warning, voice early warning and screen display early warning. Potential safety hazards caused by the fact that a driver cannot normally observe the wide-angle lens and the traffic warning sign are avoided, the probability of occurrence of traffic accidents is reduced, and driving safety of the vehicle driver is guaranteed.

Description

Technical Field

[0001] The utility model relates to the technical field of curve driving warning, in particular to a curve vehicle warning system. Background Art

[0002] With the increase in highway mileage and the continuous development of the automobile industry, the Chinese family car market has shown a rapid growth trend. While the automobile market size and shipments continue to expand, it has also indirectly led to a more diverse and complex road driving environment, making road safety accidents frequent, especially at road bends, where the probability of accidents is greatly increased. Due to the current complex vehicle driving environment, especially when driving on a bend, whether it is a mountain road or an urban road, the bend often limits the driver's line of sight, making it difficult to see the oncoming vehicle or the road conditions on the other side of the bend before the vehicle enters the bend. When encountering an oncoming vehicle, if the driver cannot know the oncoming vehicle information in advance, the response time left for the driver is greatly shortened, and the probability of misjudgment is greatly increased. If both drivers do not slow down or avoid in time, a collision is likely to occur, leading to a traffic accident. Therefore, a vehicle warning device is often installed at the bend to warn the driver entering the bend.

[0003] At present, there are usually the following measures for vehicle warning at intersections or curves: when the road is visible, traffic safety signs are installed to warn oncoming vehicles; when the road is not visible, wide-angle mirrors are installed to expand the field of vision. However, these passive warning signs have obvious shortcomings. The coverage angle of wide-angle mirrors is limited, and there are greater safety hazards when the speed is too fast. At the same time, if the vehicle is affected by bad weather such as rain, fog, and haze, or if the vehicle warning lights are not turned on in the evening, the driver's line of sight is obstructed and visibility is low, then traffic safety signs and wide-angle mirrors can hardly play a warning role. Utility Model Content

[0004] Therefore, the problem to be solved by the utility model is to provide a curve vehicle warning system, which can realize real-time monitoring of vehicles passing through curves, accurately analyze the vehicle status through AI data models, and transmit the analysis results and warning information to passing vehicles through wireless transmission equipment, and give real-time reminders to drivers of passing vehicles through sound and light warnings and voice warnings, so as to slow down and pay attention to observation, eliminate the safety hazard of not being able to observe wide-angle mirrors and traffic warning signs normally in extreme weather, reduce the probability of traffic accidents, and ensure the driving safety of vehicle drivers.

[0005] In order to achieve the above-mentioned purpose and solve the above-mentioned technical problems, the technical solution adopted by the utility model is as follows: a curved vehicle warning system, characterized in that it includes: a data acquisition and processing module, a host warning module, a host communication module, a slave warning module and a slave communication module;

[0006] The data collection and processing module is arranged on the roadbed outside the curved highway, and is used to collect vehicle front image data of oncoming vehicles on the road and process and generate vehicle information;

[0007] The host warning module is arranged on the roadbed outside the curved highway, and is used to compare vehicle information and issue warning information;

[0008] The slave warning module is arranged in the vehicle, and is used to receive the warning information and issue a warning in the vehicle;

[0009] The host communication module is signal-connected with the slave communication module to realize signal transmission between the host early warning module and the slave early warning module.

[0010] Furthermore, there are two data acquisition and processing modules.

[0011] Furthermore, the curve includes a curved segment and two straight segments.

[0012] Furthermore, the data acquisition and processing modules are respectively arranged at the junction of the curved segment and the straight segment of the curve.

[0013] Furthermore, the host communication module and the slave communication module are lora communication units, and the communication range of the lora communication unit is 0-80m.

[0014] Furthermore, the slave warning module is integrated with the slave communication module.

[0015] Furthermore, the data acquisition and processing module, the host early warning module and the host communication module are integrated.

[0016] Furthermore, the data acquisition and processing module is a K210 development board.

[0017] Furthermore, it also includes a shell, and the data acquisition and processing module, the host early warning module and the host communication module are installed in the shell. The shell is provided with a window connected to its own inner cavity, and the camera of the data acquisition and processing module is arranged corresponding to the window, and the shape of the window is adapted to the shape of the camera.

[0018] Furthermore, it also includes a host screen display, which is connected to the host early warning module signal. When the host early warning module issues an early warning message, the host screen display displays the warning message.

[0019] The beneficial effects of the present invention are as follows: by providing a vehicle warning system for curved mountain roads, the lora communication module is used to realize wireless communication between the vehicle detection module and the vehicle at the curve, and the on-board screen display module and the on-board voice prompt module are used to directly prompt the driver inside the vehicle to pay attention to oncoming vehicles, thereby avoiding the problem of road conditions and weather conditions interfering with the driver's vision and making it impossible to see the existing passive warning signs clearly.

[0020] At the same time, by using the data model of the vehicle image acquisition and analysis device to accurately analyze the vehicle status, real-time monitoring of vehicles passing through the bends of mountain roads is achieved, and the analysis results and warning information are transmitted to the passing vehicles through wireless transmission equipment. Through sound and light warnings and voice warnings, real-time reminders are given to the drivers of passing vehicles, avoiding the problem of the existing technology that cannot accurately warn the movement of oncoming vehicles and interfere with the driver's judgment, thereby improving the accuracy of warnings, reducing the probability of traffic accidents, and ensuring the driving safety of vehicle drivers. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 It is a structural schematic diagram of an embodiment of a curved vehicle warning system of the utility model;

[0022] Figure 2 This is a schematic diagram of a host side of an embodiment of a curved vehicle warning system of the utility model;

[0023] Figure 3 This is a schematic diagram of a slave end of an embodiment of a curved vehicle warning system of the utility model;

[0024] Figure 4 This is a schematic diagram of a circuit of a lora communication unit of an embodiment of a curve vehicle warning system of the utility model;

[0025] Figure 5 This is a circuit diagram of a voice unit of an embodiment of a curved vehicle warning system of the utility model;

[0026] Figure 6 This is a schematic diagram of a power supply circuit of an embodiment of a curved vehicle warning system of the utility model;

[0027] Figure 7 This is a schematic diagram of the K210 development board circuit of an embodiment of a curved vehicle warning system of the utility model;

[0028] Figure 8 The utility model is a schematic diagram of the shell structure of an embodiment of a curved vehicle warning system.

[0029] Fig. 9 It is a schematic diagram of data processing results of an embodiment of a curved vehicle warning system of the utility model.

[0030] Fig.10The present invention is a host-side workflow diagram of an embodiment of a curved vehicle warning system of the present invention.

[0031] Fig.11 The utility model is a schematic diagram of a layout of a curved vehicle warning system embodiment of the present invention. DETAILED DESCRIPTION

[0032] In order to enable those skilled in the art to better understand the content of the utility model and make the purpose, technical solution and advantages of the utility model clearer, the utility model is further described in detail below in conjunction with the embodiments and drawings. The illustrative embodiments of the utility model and their descriptions are only used to explain the utility model and are not intended to further limit the utility model.

[0033] The utility model is used to solve the problem that when a vehicle is traveling on a curve, the driver's line of sight is blocked by mountains, buildings or other obstacles, resulting in the driver being unable to judge whether there are vehicles in the opposite lane before entering the curve, and unable to judge whether to perform a passing maneuver in the curve, thus causing traffic safety hazards and leading to traffic accidents.

[0034] like Figure 1 As shown, this embodiment provides a curved vehicle warning system, including: a data acquisition and processing module 1, a host warning module 2, a host communication module 3, a slave warning module 4 and a slave communication module 5; the arrow indicates the vehicle's driving direction.

[0035] Among them, there is one data collection and processing module 1, which is set on the roadbed outside the curved highway and should be set in a waterproof and moisture-proof position to collect vehicle front image data of oncoming vehicles on the road and process and generate vehicle information.

[0036] The host warning module 2 is arranged on the roadbed outside the curved road and is used to issue warning information.

[0037] The slave warning module 4 is arranged in the vehicle, and is used for receiving the warning information and issuing a warning in the vehicle.

[0038] The data acquisition and processing module 1 is signal-connected with the host early warning module 2 .

[0039] The host communication module 3 is signal-connected with the slave communication module 5 to realize signal transmission between the host early warning module 2 and the slave early warning module 5 .

[0040] Furthermore, the host warning module 2 and the slave warning module 2 respectively include a main control chip, the main control chip is a single-chip minimum system, and the single-chip minimum system model is STM32F103.

[0041] Furthermore, the host communication module 3 and the slave communication module 5 are lora communication units.

[0042] Furthermore, the Lora communication unit described in this embodiment is model ATK-LORA-01-V3.0 (V3.0 is the version number, and ATK-LORA-01 is used below to represent the product). It is a small-sized, micro-power, low-power, high-performance, long-distance Lora wireless serial port unit launched by ALIENTEK. The unit design adopts the efficient ISM band radio frequency SX1278 spread spectrum chip. The operating frequency of the unit is 410Mhz~441Mhz, with 1Mhz frequency as the step channel, and a total of 32 channels. Various parameters such as serial port rate, transmission power, air rate, working mode, etc. can be modified online through AT commands, and the firmware upgrade function is supported. Specifically, it is connected to the host single-chip microcomputer minimum system and the slave single-chip microcomputer minimum system respectively through serial port communication. In order to make the connection correct, the serial port baud rate of both parties should be consistent. This Lora communication unit uses a baud rate of 115200 to communicate with the single-chip microcomputer. The communication range is 80m. Its circuit diagram is as follows Figure 4 shown.

[0043] Furthermore, the data acquisition and processing module 1, the host early warning module 2 and the host communication module 3 are integrated on the host core circuit board to form a host end, and the host end also includes a host lithium battery and a host power step-down module electrically connected to the host single-chip minimum system, and the structure is as follows: Figure 2 shown.

[0044] Furthermore, the slave warning module 4 and the slave communication module 5 are integrated on the slave core circuit board to form a slave end, and the slave end also includes a slave lithium battery electrically connected to the slave single-chip minimum system, a slave power step-down module, an LED indicator light, a buzzer, a voice unit and an OLED display unit, and the structure is as follows: Figure 3 shown.

[0045] Furthermore, the voice unit is connected to the VCC-TXD-RXD-GND of the USB to TTL downloader according to the unit port VCC-RXD-TXD-GND. The VCC end of the voice unit can be a voltage input of 3-5V. BY is a port for detecting whether it is busy, and can be selectively connected to the IO port of the single-chip microcomputer. The port is not programmed in the default program. In this embodiment, the voice unit adopts the SYN6288 Chinese speech synthesis chip, which is a mid-to-high-end speech synthesis chip with a higher cost performance and more natural effect launched by Beijing Yuyin Tianxia Technology Co., Ltd. in early 2010. SYN6288 receives the text data to be synthesized through the asynchronous serial port (UART) communication method to realize the conversion of text to speech (or TTS speech). Specifically, the SYN6288 serial communication rx and tx pins are connected to the rx and tx pins of the single-chip microcomputer minimum system, rx corresponds to tx, and tx corresponds to rx. In order to make the link correct, the serial port baud rate of both parties should be consistent. This voice module uses a baud rate of 9600 to communicate with the single-chip microcomputer. The voice unit circuit is as follows Figure 5 shown.

[0046] Furthermore, the curved vehicle warning system provided in this embodiment is powered by a lithium battery, which converts the 12V power input from the lithium battery into a 5V stable voltage required by the components. Specifically, AMS1117-5.0 is a positive low-dropout voltage regulator with an output voltage of 3.3V, which can stably convert the voltage to provide a safe and stable voltage for the device, and can also be powered through the type-c interface. The power supply circuit is as follows Figure 6 shown.

[0047] Furthermore, the data acquisition and processing module 1 is a K210 development board, which has a camera assembly. The lens direction of the camera is set opposite to the driving direction of the vehicle, and is used to collect vehicle front image data of oncoming vehicles on the road to facilitate image recognition.

[0048] Furthermore, the K210 module is a product independently developed by Canaan Technology that adopts the RISC-V processor architecture. It has three major features: audio-visual integration, independent IP core and strong programmability. It supports multi-modal recognition of machine vision and machine hearing, and can be widely used in scenarios such as smart homes, smart parks, smart energy consumption and smart farms. The Canzhi K210 uses TSMC's ultra-low power 28nm advanced process, has a dual-core 64-bit processor, and has a total computing power of up to 1TOPS. It has built-in multiple hardware acceleration units (KPU, FPU, FFT, etc.), and has good power consumption performance, stability and reliability. Specifically, it is connected to the minimum system of the single-chip microcomputer through serial communication. In order to make the link correct, the serial port baud rate of both parties should be consistent. This K210 module uses a baud rate of 115200 to communicate with the serial port of the single-chip microcomputer. Its circuit diagram is as follows Figure 7 shown.

[0049] Furthermore, it also includes a host screen display 7, which is signal-connected to the host warning module 2. When the host warning module 2 sends out a warning message, the host screen display 7 displays a warning message, and the warning message is "Oncoming vehicles, please drive carefully."

[0050] Further, such as Figure 8 As shown, it also includes a shell 6, and the data acquisition and processing module 1, the host early warning module 2 and the host communication module 3 are installed in the shell 6. The shell 6 is provided with a window 10 connected to its own inner cavity. The camera of the data acquisition and processing module 1 is arranged corresponding to the window, and the shape of the window is adapted to the shape of the camera lens.

[0051] Furthermore, the shell 6 is also provided with a type-C interface 11 connected to its own inner cavity for powering the host end; and a wiring slot 12 connected to its own inner cavity for connecting the K210 development board and the host microcontroller via a data cable.

[0052] Further, in this embodiment, the Maixhub model is used to process and analyze vehicle data. Before training the model, a data training set needs to be prepared. The utility model is suitable for detecting vehicles at mountain road bends. So we need to find pictures of the front of the vehicle. Search for pictures of the front of the family car online, use a crawler to crawl all the pictures on the website, and obtain a large number of relevant pictures. Filter the pictures and save them. Compress the pictures into a folder. Log in to Maixhub MaixHub provides model training and model sharing functions, and uploads the data set to be trained. Based on yolov2, the model is trained, and YOLOv2 uses Darknet-19 as the feature extraction network. Darknet-19 is a network structure composed of 19 convolutional layers and 5 maximum pooling layers. This network structure is used to extract rich feature information from the input image. YOLOv2 achieves the goal of improving detection accuracy and positioning accuracy while maintaining real-time detection speed by improving the network structure, introducing batch normalization, using high-resolution classifiers, and optimizing anchor boxes. This makes YOLOv2 have higher practical value in practical applications. Label the selected pictures on the website, frame the entire car and label it as Car, and repeat this process to label all the selected pictures. Train on the website, and the training results are shown in the attached figure. Fig. 9 As shown, the accuracy of the training results reaches 90%, which can achieve the technical effect that the utility model intends to achieve.

[0053] The workflow of the utility model is as follows: image recognition is performed on moving objects within 80 meters from the host detection module in the left and right directions respectively through the data acquisition and processing module 1 (i.e., the K210 development board), and multiple picture data of the moving objects within 1S are collected; the collected picture data is uploaded to the artificial intelligence model Maixhub adopted by the utility model for comparison and confirmation, and after being compared and identified as a moving vehicle, warning information data is issued, and the warning information data is transmitted to the host warning module 2; the host warning module 2 transmits the warning information to the host communication module 3 and the host screen display 7 respectively, and the host communication module 3 transmits the warning information data to the slave communication module 5 of the moving vehicle in the left and right directions through wireless transmission, and the host screen display module displays the words "oncoming vehicle, please drive carefully"; the slave communication module 5 receives the warning information and transmits the warning information to the slave warning module 4; the slave warning module 4 makes a judgment based on the warning information data, and judges that a vehicle in the opposite lane is about to pass the curve, and then the slave warning module 4 transmits the warning information data to the LED indicator light, the buzzer, the OLED display unit and the voice prompt unit. The LED indicator light is bright, the buzzer sounds a warning sound, the OLED display unit displays the words "Oncoming vehicles, please drive carefully", and the voice prompt unit gives a voice prompt of "Oncoming vehicles, please drive carefully", reminding the driver to pay more attention and avoid traffic accidents.

[0054] Further, as attached Fig.11 As shown, the host workflow of a mountain road curve vehicle warning system described in this embodiment is as follows: First, the K210 development board arranged on the curve detects vehicles in real time. When a vehicle is detected, the data will be transmitted to the host. The host receives the data and processes it to extract vehicle information. If no information is found, the host returns to the first step to continue real-time monitoring. If the inspection finds that there are two slaves with a distance of less than 80 meters, that is, the communication distance between the host communication module and the slave communication module is reached. The communication distance is determined by the communication range of the lora communication module, which is 0-80m. When the communicative distance of the lora communication unit in this embodiment is reached, the host communication module sends a data signal to the slave communication module to remind the driver to pay attention to oncoming vehicles. If nothing is found, return to the first step to continue real-time monitoring.

[0055] This embodiment sets a K210 development board at the roadbed outside the center point of the curve, collects and processes the vehicle data in the curve to obtain vehicle information, sends a warning signal to the vehicles traveling in the lane through the lora communication unit, and issues a warning inside the vehicle. At the same time, a screen display is also set beside the road to achieve parallel warning methods inside the vehicle and beside the road, solving the problem proposed by the utility model that when the driver drives the vehicle on a curved road section, the driver's line of sight is blocked by mountains, buildings or other obstructions, and the vehicle situation in the opposite lane cannot be predicted, and the vehicle information in the opposite lane cannot be obtained, thereby causing traffic safety hazards. However, the above embodiment may have the problem that the data collection and processing module, that is, the K210 development board, cannot collect the front image of the vehicle before the vehicle enters the curve because the radius of the curve is too large, which may lead to the situation that the warning is not timely, and the vehicles of both sides cannot be warned in advance, causing safety hazards.

[0056] Further, as a preferred embodiment, Fig.11 As shown, based on the above embodiment, a layout of a curve vehicle warning system is proposed, in which two data acquisition and processing modules 1 are provided.

[0057] Furthermore, the two data acquisition modules 1 are respectively arranged on the outer side of the roadbed of the curved road at the junction of the curved section 8 and the straight section 9 of the curved road, and should be arranged in a waterproof and moisture-proof position.

[0058] Furthermore, one of the two data acquisition and processing modules 1 is integrated with the host warning module 2 and the host communication module 3, and the other data acquisition and processing module 1 is signal-connected with the host warning module 2 and the host communication module 3 to achieve signal intercommunication.

[0059] Furthermore, the data acquisition and processing module 1 is a K210 development board, which has a camera assembly. The lens direction of the camera is set opposite to the driving direction of the vehicle, and is used to collect vehicle front image data of oncoming vehicles on the road to facilitate image recognition.

[0060] Through an arrangement method proposed on the basis of the above-mentioned embodiment, the number of data acquisition and processing modules is increased to two, which are respectively arranged at the junction of the straight section and the curved section of the road, to ensure that the data acquisition and processing module can collect vehicle data on the road and issue an early warning before the vehicle enters the curve, that is, before the vehicle travels on the straight section and enters the curved section of the curve, thereby avoiding the problem of being unable to issue an early warning before the vehicle enters the curve due to the large radius of the curve.

[0061] The technical features of the above embodiments may be combined arbitrarily. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0062] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be construed as limiting the scope of the patent application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent application shall be subject to the attached claims.

Claims

1. A curved vehicle warning system, characterized in that: include: A data acquisition and processing module (1), a host warning module (2), a host communication module (3), a slave warning module (4) and a slave communication module (5); The data collection and processing module (1) is arranged on the roadbed outside the curved highway, and is used to collect vehicle front image data of oncoming vehicles on the road and process and generate vehicle information; The host warning module (2) is arranged on the roadbed outside the curved road, and is used to compare vehicle information and issue warning information; The slave warning module (4) is arranged in the vehicle and is used to receive the warning information and issue a warning in the vehicle; The data acquisition and processing module (1) is signal-connected to the host early warning module (2); The host communication module (3) is signal-connected to the slave communication module (5).

2. A curved vehicle warning system according to claim 1, characterized in that: The data acquisition and processing modules (1) are provided with two.

3. A curved vehicle warning system according to claim 2, characterized in that: The curve comprises a curved section (8) and two straight sections (9), and the data acquisition and processing modules (1) are respectively arranged at the junction of the curved section (8) and the straight section (9) of the curve.

4. A curved vehicle warning system according to claim 1, characterized in that: The host communication module (3) and the slave communication module (5) are LoRa communication units, and the communication range of the LoRa communication units is 0-80m.

5. The curve vehicle warning system according to claim 1, characterized in that: The slave early warning module (4) and the slave communication module (5) are integrated.

6. The curve vehicle warning system according to claim 1, characterized in that: The data acquisition and processing module (1), the host early warning module (2) and the host communication module (3) are integrated.

7. The curve vehicle warning system according to claim 1, characterized in that: The data acquisition and processing module (1) is a K210 development board.

8. The curve vehicle warning system according to claim 1, characterized in that: It also comprises a shell (6), wherein the data acquisition and processing module (1), the host warning module (2) and the host communication module (3) are installed in the shell (6), and the shell (6) is provided with a window connected to its own inner cavity, and the camera of the data acquisition and processing module (1) is arranged corresponding to the window.

9. The curve vehicle warning system according to claim 1, characterized in that: It also comprises a host screen display (7), wherein the host screen display (7) is connected to the host early warning module (2) by signal, and when the host early warning module (2) issues an early warning message, the host screen display (7) displays the warning message.

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