Automobile tail light control system based on Internet of Things

Abstract

The invention designs an automobile tail light control system based on the Internet of Things, and belongs to the technical field of intelligent transportation and automobile electronics. The system aims at overcoming the defects of a traditional automobile tail light control method in the aspects of environment perception and response speed so as to improve the driving safety. According to the technical scheme, an STM32 microprocessor and other microprocessors are used, a distance measuring sensor and a vehicle speed sensor are combined, environment signals are received and processed in real time, and the external condition and the self condition of a vehicle are judged. The system core comprises a power supply module, a microprocessor, an OLED dot matrix display screen, a drive circuit module and an NB-IOT module. The microprocessor controls all the components in a centralized mode and intelligently adjusts lighting and display states of the tail lamp according to feedback information of the sensor. The system is mainly used for improving the intelligent level of the automobile tail lamp, enhancing interaction between the automobile and the surrounding environment and reducing traffic accidents.

Description

Technical Field

[0001] The invention relates to an automobile taillight control system based on the Internet of Things. Background Art

[0002] OLED (organic light emitting device) lighting is the latest generation of light emitting device technology after LED lighting. Since its appearance, it has attracted widespread attention in the lighting industry for its natural, healthy, light and flexible characteristics. In the history of the development of automobile taillights, there have been kerosene lamps, acetylene lamps, incandescent lamps, LEDs and today's OLED lamps. The advantages of OLED are energy saving, low cost, long life, fast response speed, small component size, easy layout and design. However, the existing automobile taillight control device still has the disadvantages of complex circuits, high cost and low intelligence, and there is still room for further improvement. Summary of the invention

[0003] The present invention is an automobile taillight control system based on the Internet of Things, which is invented to solve the problem of insufficient intelligent control in the above-mentioned prior art.

[0004] The technical solutions adopted in the present invention are:

[0005] An automobile taillight control system based on the Internet of Things includes the following steps:

[0006] 1. An automobile taillight control system based on the Internet of Things. When the vehicle starts, the system power module is powered by the car battery, starts the microprocessor, and initializes all sensors, display screens, drive modules and communication modules to ensure that all components work properly. The microprocessor loads the preset control algorithm and system parameters, enters the standby state, and is ready to receive input data from the sensor.

[0007] 2. The data acquisition module includes a distance sensor and a speed sensor. The distance sensor uses the VL53L1X module to measure the distance data between the vehicle and the vehicle in front and the vehicle behind, and transmit the measured data to the microprocessor. The speed sensor uses the LP-DS100 radar speed sensor to collect the speed data between the vehicle and the vehicle in front and the vehicle behind, and transmit the speed data to the microprocessor.

[0008] 3. After receiving the data transmitted by the sensor, the microprocessor analyzes the vehicle speed and distance, and determines whether the display mode of the taillights needs to be adjusted according to the set algorithm. Based on the results of the data analysis, the microprocessor sends a control signal to the drive circuit module to control the display content of the taillights. If the distance to the vehicle in front or behind is less than the safety threshold, the system will trigger the emergency warning mode, and the taillights will display a red warning light or other preset warning patterns. When driving at high speeds, the system can calculate the optimal safe distance based on the real-time speed and distance, and prompt it through the OLED display.

[0009] 4. The NB-IOT module uploads the vehicle speed, vehicle distance and other data processed by the microprocessor to the cloud server through the wireless network. The owner or administrator can remotely view the real-time data of the vehicle through a PC or mobile device, and adjust the display mode of the taillights as needed. For example, when the vehicle is in remote control mode, the owner can remotely turn on the taillights, adjust the brightness or display specific warning information. Under special driving conditions, the system can dynamically adjust the taillight display frequency to remind surrounding vehicles to pay attention to safety in a more significant way. When the vehicle is turned off or stopped, the system enters standby mode, the sensor stops data collection, and the microprocessor saves the current operating status. The NB-I0T module remains connected to the cloud for remote monitoring.

[0010] The present invention has the following beneficial effects:

[0011] Compared with the traditional automobile taillight control system, the present invention has a higher degree of intelligence and can display a variety of information in different driving scenarios, such as brake lights, turn signals, warning patterns, text information, etc., which improves the visibility and warning effect of the vehicle and further enhances the driving safety and warning effect of the vehicle. The present invention adopts OLED display technology, which has the advantages of high brightness, fast response speed and low power consumption. Compared with traditional LED taillights, OLED taillights have significant advantages in power consumption and luminous efficiency, which can effectively reduce the power consumption of the vehicle and extend the service life of the battery. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Figure 1 A flow chart of a method for an example of the present invention

[0013] Figure 2 The specific display effect of the example of the present invention DETAILED DESCRIPTION

[0014] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0015] like Figure 1 As shown, the present invention provides an automobile taillight control system based on the Internet of Things, comprising the following steps:

[0016] 1) Use the car battery to power the microprocessor and drive circuit module.

[0017] 2) The data acquisition module includes a distance sensor and a speed sensor. The distance sensor (VL53L1X) measures the distance data between the front vehicle and the rear vehicle. The speed sensor (LP-DS100) collects the speed data of the vehicle and the front vehicle and the rear vehicle. According to the actual speed and distance changes of the front and rear vehicles, the optimal safe distance under different driving conditions is intelligently calculated and predicted, and displayed on the interactive interface of the display screen.

[0018] 3) After obtaining real-time vehicle external information, the real-time distance and speed information are transmitted to the NB-I0T (M5310-A) module, and the location information is uploaded to the cloud and terminal devices such as PC and mobile phones in real time through the NB-I0T (M5310-A) module. It can be displayed through the display interactive interface.

[0019] 4) After the data collected by the data acquisition module is processed, the microprocessor drive circuit module controls the car taillights to display different patterns according to different situations. This solution can intelligently calculate and predict the optimal safe distance under different driving conditions according to the actual speed and distance changes of the front and rear vehicles, and display it on the display screen interactive interface. When it is detected that the distance to the rear vehicle is greater than the safety threshold, the car OLED taillights are controlled to display a warning pattern, such as Figure 2 shown.

[0020] 5) According to the Internet of Things-based automobile taillight control system of claim 1, it is characterized in that the microcontroller is connected to the remaining functional modules of the smart curtain respectively to perform centralized control and information processing on the system.

Claims

1. An automobile taillight control system based on the Internet of Things, characterized in that: include: A power module, used to provide power to the system; A microprocessor, connected to the power module, for processing and controlling input signals; OLED dot matrix display screen, set at the rear of the car, used to display taillight information; The driving circuit module is connected to the microprocessor and the OLED dot matrix display screen to drive the display screen; the NB-IOT module is connected to the microprocessor to upload information such as vehicle speed and distance to the cloud; the distance sensor is used to detect the distance between the vehicle and the front and rear vehicles; the speed sensor is used to detect the driving speed of the vehicle; the display screen interactive interface is connected to the microprocessor to display real-time information and control status. The microprocessor controls the display content of the OLED dot matrix display screen according to the external environment, vehicle speed and distance information to realize the display control of the intelligent taillight.

2. The automobile taillight control system based on the Internet of Things according to claim 1, wherein: The NB-IOT module is used to upload the following data to the cloud in real time: the distance data between the vehicle and the vehicles in front and behind collected by the VL53L1X distance sensor; the vehicle's speed data collected by the LP-DS100 radar speed sensor.

3. The automobile taillight control system based on the Internet of Things according to claim 1, wherein: The microprocessor calculates the optimal safe distance between vehicles through an intelligent algorithm according to the vehicle speed and vehicle distance information collected by the data collection module; The driving circuit module controls the OLED taillights to display different patterns according to the instructions of the microprocessor; The interactive interface on the display screen shows the current driving conditions and recommendations for the best safe distance in real time.

4. The automobile taillight control system based on the Internet of Things according to claim 1, wherein: The OLED dot matrix display screen has the following characteristics: multi-information fusion display function; a three-layer structure, using 28 kinds of organic materials, combined into 17 layers, with a total thickness of about 300 nanometers; and has the characteristics of long life, high brightness, safety and reliability, and high luminous efficiency.

5. The automobile taillight control system based on the Internet of Things according to claim 1 is characterized in that The microcontroller is respectively connected with other functional modules of the automobile taillight control system to perform centralized control and information processing on the system.

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