Motorcycle ABS and TCS intelligent control system based on meteorological data and GPS data

By introducing intelligent control systems based on meteorological data and GPS data into the ABS and TCS modules of motorcycles, the problem that traditional systems cannot adapt to complex environments and varying road conditions is solved, and higher driving stability and safety are achieved.

CN119773699APending Publication Date: 2025-04-08田震
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Patent Information

Application Number
CN202510170183.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-02-17
Publication Date
2025-04-08

AI Technical Summary

Technical Problem

Traditional motorcycle ABS modules and TCS modules cannot flexibly adapt to complex environments and changing road conditions, resulting in the stability and safety of the system being easily affected by various factors.

Method used

The intelligent control system based on meteorological data and GPS data is adopted. Through the data acquisition module, decision support module, execution module, user interaction module and redundancy guarantee module, the working status of the ABS and TCS modules is analyzed and adjusted in real time to adapt to different road conditions and environments.

Benefits of technology

Improves the driving stability and safety of motorcycles under complex road conditions and variable weather conditions, ensuring that the system can still operate normally when critical sensors fail or signal loss.

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Abstract

The invention relates to the technical field of motorcycles, in particular to a motorcycle ABS and TCS intelligent control system based on meteorological data and GPS data, which comprises a data acquisition module, a decision support module, an execution module, a user interaction module and a redundancy guarantee module, the data acquisition module comprises a meteorological data acquisition and processing unit, a GPS (Global Positioning System) data acquisition and processing unit, a vehicle speed and curve curvature matching and pre-judging unit and a tilt angle sensor; the decision support module comprises a signal loss processing unit and a vehicle speed and curve curvature matching adjustment unit, and the decision support module selects the most suitable control mode based on real-time data analysis and an intelligent algorithm and dynamically adjusts the working states of the TCS module and the ABS module with the optimal road condition and the optimal upcoming road condition; according to the invention, the external environment meteorological information can be acquired in real time, the traction force and the braking response are adjusted based on the real-time data of the meteorological sensor and the GPS sensor, and the stability and the safety during driving under complex road conditions and changeable weather conditions are improved.
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Description

Technical Field

[0001] The invention relates to the technical field of motorcycles, in particular to an ABS and TCS intelligent control system for motorcycles based on meteorological data and GPS data. Background Art

[0002] Existing motorcycle anti-lock braking systems (ABS modules) and traction control systems (TCS modules) have been widely used in the motorcycle field to improve vehicle driving stability and safety. However, traditional ABS modules and TCS module systems mainly rely on basic information such as wheel speed, acceleration and driver input, and fail to fully consider the impact of complex environments (such as different weather, slippery roads, icy roads, etc.) on motorcycle driving stability; When a motorcycle is driving on complex road conditions and changeable weather conditions, the driver faces many challenges, especially in dangerous situations such as slippery, icy, and sharp turns. In these situations, the traditional ABS module (anti-lock braking system) and TCS module (traction control system) cannot flexibly adapt to changing road conditions and environments. The traditional motorcycle control system can only rely on the vehicle's real-time data and the driver's judgment to control traction and braking response, which makes the stability and safety of the system vulnerable to various factors. Therefore, a motorcycle ABS and TCS intelligent control system based on meteorological data and GPS data is proposed to address the above problems. Summary of the invention

[0003] The purpose of the present invention is to provide a motorcycle ABS and TCS intelligent control system based on meteorological data and GPS data to solve the problem that traditional ABS modules (anti-lock braking systems) and TCS modules (traction control systems) cannot flexibly adapt to changing road conditions and environments, and traditional motorcycle control systems can only rely on real-time data of the vehicle and the judgment of the driver to control traction and braking response, which makes the stability and safety of the system vulnerable to various factors.

[0004] To achieve the above object, the present invention provides the following technical solutions: The motorcycle ABS and TCS intelligent control system based on meteorological data and GPS data includes a data acquisition module, a decision support module, an execution module, a user interaction module and a redundant protection module; the data acquisition module includes a meteorological data acquisition and processing unit, a GPS data acquisition and processing unit, a vehicle speed and curve curvature matching prediction unit and an inclination sensor; the decision support module includes a signal loss processing unit and a vehicle speed and curve curvature matching adjustment unit, the decision support module selects the most suitable control mode based on real-time data analysis and intelligent algorithms, and dynamically adjusts the working states of the TCS module and the ABS module with the best road conditions and upcoming road conditions; the execution module adjusts the traction control and braking control systems according to the instructions of the decision support module; the user interaction module provides system status feedback to the driver through prompt lights and instrument panels; the redundant protection module ensures that the system can still operate normally when a key sensor fails or the signal is lost.

[0005] As further optimized content of the present invention, the data acquisition module is responsible for collecting all data related to motorcycle driving, including environmental data and vehicle status data, and the data will be transmitted to the decision support module for decision-making and control; the meteorological data acquisition and processing unit is used to process the real-time temperature, humidity and precipitation data obtained by the meteorological sensor, determine whether the road surface is slippery or icy, and rely on the cached meteorological data for system control when the meteorological data is not updated or the signal is lost; the GPS data acquisition and processing unit is used to calculate the curvature of the upcoming curve with the current position of the motorcycle in real time, determine the matching of the vehicle speed and the curve curvature, automatically adjust the working strategy of the ABS module and the TCS module, and use the cached GPS data to speculate the driving state when the GPS signal is lost or not updated; the vehicle speed and curve curvature matching prediction unit is used to predict the upcoming curve curvature according to GPS, meteorological data and real-time vehicle speed data, and prompt the driver in advance of dangerous situations according to the matching of the vehicle speed and the curve curvature, and automatically adjust the working mode of the TCS module and the ABS module.

[0006] As further optimized content of the present invention, the decision support module is responsible for selecting the most suitable control mode according to the data from each sensor, and adjusting the working status of the ABS module and the TCS module; the signal loss processing unit is used to automatically enter the safety mode when the GPS signal or meteorological data has not been updated for more than a preset time threshold, and adjust the working status of the TCS module and the ABS module according to the cached latest meteorological data and GPS data to ensure stable driving of the motorcycle; the vehicle speed and curve curvature matching adjustment unit is used to reduce the risk of loss of control caused by excessive speed by adjusting the working status of the TCS module and the ABS module when the vehicle speed does not match the curve curvature, and prompt the driver to slow down through the yellow flashing light and the red flashing light.

[0007] As further optimized content of the present invention, the execution module is responsible for adjusting the working status of the ABS module and the TCS module in real time according to the instructions of the decision support module to ensure the stability of the motorcycle. The execution module receives the control instructions of the ECU and performs precise traction control and braking control by adjusting the braking pressure and engine power.

[0008] As a further optimization of the present invention, the user interaction module provides system status feedback to the driver through prompt lights and instrument panels, especially providing necessary warnings when the system operates abnormally or enters a safety mode.

[0009] As a further optimization of the present invention, the redundant protection module can continue to ensure the normal operation of the system through redundant data and cache mechanism when a key sensor fails or the signal is lost. The redundant protection module ensures that the motorcycle can still travel safely when there is no real-time data.

[0010] Compared with the prior art, the present invention has the following beneficial effects: In the present invention, by integrating real-time meteorological data and GPS data, not only control is performed based on data such as vehicle speed and wheel speed, but also the ABS module and TCS module are intelligently adjusted through external environmental data to achieve all-round road condition perception. The present invention can obtain meteorological information of the external environment in real time, and adjust traction and braking response based on real-time data of meteorological sensors and GPS sensors, thereby improving stability and safety when driving under complex road conditions and changeable weather conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] Figure 1 It is a schematic diagram of the overall architecture of the system of the present invention; Figure 2 A schematic diagram of a redundant protection module and a signal loss processing architecture of the present invention; Figure 3 It is a schematic diagram of the structure of the mode switching and adjustment logic diagram of the present invention; Figure 4 A schematic diagram of the system status and user interaction of the present invention; Figure 5 It is a schematic diagram of adjusting the working modes of ABS and TCS of the present invention. DETAILED DESCRIPTION

[0012] See also Figure 1-5 The present invention provides a technical solution: As a further technical solution for implementing the present solution, The motorcycle ABS and TCS intelligent control system based on meteorological data and GPS data includes a data acquisition module, a decision support module, an execution module, a user interaction module and a redundant protection module; the data acquisition module includes a meteorological data acquisition and processing unit, a GPS data acquisition and processing unit, a vehicle speed and curve curvature matching prediction unit and an inclination sensor; the decision support module includes a signal loss processing unit and a vehicle speed and curve curvature matching adjustment unit. The decision support module selects the most suitable control mode based on real-time data analysis and intelligent algorithms, and dynamically adjusts the working states of the TCS module and the ABS module with the best road conditions and upcoming road conditions; the execution module adjusts the traction control and braking control systems according to the instructions of the decision support module; the user interaction module provides system status feedback to the driver through prompt lights and instrument panels; the redundant protection module ensures that the system can still operate normally when key sensors fail or signals are lost.

[0013] The data acquisition module is responsible for collecting all data related to motorcycle driving, including environmental data and vehicle status data. The data will be transmitted to the decision support module for decision-making and control; the meteorological data acquisition and processing unit is used to process the real-time temperature, humidity and precipitation data obtained by the meteorological sensor, determine whether the road surface is slippery or icy, and rely on the cached meteorological data for system control when the meteorological data is not updated or the signal is lost; the GPS data acquisition and processing unit is used to calculate the current position of the motorcycle and the curvature of the upcoming curve in real time, determine the matching of the vehicle speed and the curvature of the curve, automatically adjust the working strategy of the ABS module and the TCS module, and use the cached GPS data to speculate the driving status when the GPS signal is lost or not updated; the vehicle speed and curve curvature matching prediction unit is used to predict the curvature of the upcoming curve based on GPS, meteorological data and real-time vehicle speed data, and prompt the driver in advance of dangerous situations based on the matching of the vehicle speed and the curvature of the curve, and automatically adjust the working mode of the TCS module and the ABS module.

[0014] The decision support module is responsible for selecting the most suitable control mode according to the data from various sensors, and adjusting the working status of the ABS module and the TCS module; the signal loss processing unit is used to automatically enter the safety mode when the GPS signal or meteorological data has not been updated for more than the preset time threshold, and adjust the working status of the TCS module and the ABS module according to the cached latest meteorological data and GPS data to ensure stable driving of the motorcycle; the vehicle speed and curve curvature matching adjustment unit is used to reduce the risk of loss of control caused by excessive speed by adjusting the working status of the TCS module and the ABS module when the vehicle speed does not match the curve curvature, and prompt the driver to slow down through the yellow flashing light and the red flashing light.

[0015] The execution module is responsible for adjusting the working status of the ABS module and the TCS module in real time according to the instructions of the decision support module to ensure the stability of the motorcycle. The execution module receives the control instructions of the ECU and performs precise traction control and braking control by adjusting the brake pressure and engine power; ABS module control: The purpose of ABS module control is to prevent wheel lock during braking and ensure the stability of the vehicle under different road conditions. The execution module adjusts the brake pressure according to the wheel speed sensor, weather data and GPS data. When the ECU issues a brake control command through the decision support module, the execution module dynamically adjusts the brake pressure according to the current road conditions and wheel speed to avoid wheel lock; Perform TCS module control: The purpose of TCS module control is to prevent wheel slippage and ensure optimal traction between the wheels and the ground. Especially during acceleration, the execution module adjusts the engine power output according to the wheel speed sensor, inclination sensor, weather data and GPS data. Traction control: When the speed of the rear wheels exceeds a certain threshold of the front wheels (such as 5% - 10%), the system will restore traction by reducing the engine output power; The decision support module is responsible for selecting the most suitable control mode according to the data from various sensors, and adjusting the working status of the ABS module and the TCS module. The decision support module has dry paved road mode, slippery road mode, ice and snow road mode, muddy off-road road mode, adaptive mode, ECU coordination and ECU interface and data transmission; Mode 1 is suitable for dry paved roads: asphalt / concrete roads with an adhesion coefficient μ ≥ 0.8, ABS module control parameters: maximum brake pressure: 90-100% (relative to the maximum system pressure), brake pulse cycle: 0.05-0.1 seconds (hydraulic valve action interval), pressure release rate: 15-20 MPa / s; TCS module control parameters: slip rate threshold: 5-8% (rear wheels relative to front wheels), engine power reduction gradient: 10-30% (linearly adjusted according to the slip rate difference Δλ), intervention delay time: 0.1 seconds (from slip detection to execution of control); Mode 2 is suitable for slippery roads: water / wet roads with an adhesion coefficient of μ=0.4-0.6, ABS module control parameters: maximum brake pressure: 60-75%, brake pulse cycle: 0.2-0.3 seconds, pressure release rate: 8-12 MPa / s; TCS module control parameters: slip rate threshold: 12-15%, engine power reduction gradient: 40-60%, intervention delay time: 0.2 seconds; Mode 3 is suitable for ice and snow road mode: ice / snow road with adhesion coefficient μ ≤ 0.3, ABS module control parameters: maximum brake pressure: 40-50%, brake pulse cycle: 0.4-0.6 seconds, pressure release rate: 5-8 MPa / s; TCS module control parameters: slip rate threshold: 18-22%, engine power reduction gradient: 70-90%, intervention delay time: 0.3 seconds; Mode 4 is suitable for muddy off-road roads: Muddy off-road roads: soft soil / gravel roads with an adhesion coefficient of μ=0.2-0.4, ABS control parameters: maximum brake pressure: 30-45%, brake pulse cycle: 0.5-0.8 seconds (reduce braking frequency to prevent sinking), pressure release rate: 3-5 MPa / s; TCS control parameters: slip rate threshold: 20-25% (allow higher slip to maintain traction), engine power reduction gradient: dynamic adjustment (based on body posture feedback from the inclination sensor), intervention delay time: 0.4 seconds; Mode 5 automatic adjustment mode: ABS module maximum brake pressure: 30-100% (based on real-time calculation of road μ value); TCS module slip rate threshold: 5-25% (dynamic matching environmental conditions), engine power reduction gradient: 10-90% (through PID algorithm closed-loop adjustment) The cooperation of ECU, ECU (electronic control unit) in the motorcycle intelligent control system of the present invention is responsible for receiving and processing data from meteorological data, GPS, wheel speed sensor, tilt sensor, and executing appropriate control strategies based on these data; ECU interface and data transmission: ECU is connected to sensors and execution modules through CAN bus, I2C interface and UART interface; Data flow: ECU receives sensor data and sends it to the execution module after algorithm processing. The execution module adjusts the ABS module and TCS module according to the instructions; The user interaction module provides system status feedback to the driver through the indicator light and the instrument panel, especially providing necessary warnings when the system operates abnormally or enters the safety mode; the user interaction module transmits system status information to the driver through different indicator lights (such as red, yellow, green lights) and the display of the instrument panel to ensure that the driver can take corresponding measures in time; Yellow flashing light: When the system detects that the vehicle speed does not match the curvature of the curve, the yellow flashing light will alert the driver to the dangerous situation in advance; Solid yellow light: When the system detects excessive signal delay or signal loss exceeding the threshold, the solid yellow light prompts the driver to enter safety mode and displays the "Safety Mode" prompt on the instrument panel; Red flashing light: When the vehicle speed does not match the curvature of the curve and the distance to the curve exceeds the threshold, the red flashing light will flash and prompt the driver to slow down immediately on the instrument panel, otherwise there will be a greater risk of losing control of the vehicle; Red light: When a system failure occurs or a critical sensor is abnormal, the red light will remind the driver that there is a system failure and the driver must stop the vehicle for inspection. Green light that stays on: Indicates that the system is working properly and the driver can continue driving normally; When a key sensor fails or the signal is lost, the redundant protection module can still ensure the normal operation of the system through redundant data and cache mechanisms. The redundant protection module ensures that the motorcycle can still drive safely when there is no real-time data. Meteorological data and GPS data are lost: When the meteorological data or GPS signal enters a signal-free area such as a tunnel and is lost for more than 10 seconds, the redundant protection module continues to operate through the latest cached data and smoothly transitions to the normal working mode after the data is restored. The weight of the cached data gradually decreases as the data loss time increases, avoiding the system from relying on outdated data for decision-making. When the system enters the safe mode, the driver is prompted with the yellow constant light and the dashboard to indicate the current system status; Specific Real-time Example 1 - Driving on a Slippery Road Background: A motorcycle is driving on a slippery road after rain. The road is slippery and has water accumulation, which results in low traction and makes it easy for the wheels to slip and lose control. The system needs to adjust the ABS and TCS in real time to ensure the driving stability and safety of the motorcycle. Data collection and system detection: Meteorological sensors monitor temperature, humidity, precipitation and other environmental data in real time to determine the slipperiness of the road surface; The GPS sensor obtains the current speed and position of the motorcycle and calculates the curvature of the current road section; the wheel speed sensor collects the rotation speed of the front and rear wheels in real time to detect whether the wheels are slipping; The tilt sensor monitors the motorcycle’s tilt angle in real time, especially when driving on a curve, to determine whether traction and braking strategies need to be adjusted; Decision support module: Mode selection: The system uses meteorological data and GPS to calculate that the current road surface is slippery, and the system automatically switches to the slippery road mode; Control strategy: ABS adjustment: On slippery roads, the system delays the braking response to 0.2 seconds - 0.3 seconds and reduces the maximum braking pressure to 60-75% to avoid wheel lock and ensure smooth deceleration; TCS adjustment: The system sets the rear wheel slip threshold to 12% - 15%. When the rear wheel slip exceeds this threshold, the engine power is reduced by a maximum of 40% - 60% to prevent slipping.

[0016] Real-time example 2 - the situation where the vehicle speed does not match the curvature of the curve: the motorcycle is about to enter a curve, and the system detects that the current vehicle speed does not match the curvature of the curve (the speed is too fast), which may cause loss of control; Data collection and system testing: GPS sensor: The system uses GPS to monitor the vehicle speed and the curvature of the upcoming curve in real time. For example, if the current vehicle speed is 60 km / h and the radius of the upcoming curve is 150 meters, the system calculates that the appropriate vehicle speed to match the curvature of the curve is about 50 km / h based on the road conditions. Calculation formula: Use the curve curvature formula (such as: v = √(R × g × μ))v: safe vehicle speed (unit: m / s) R: Curve radius (unit: meter) g: acceleration due to gravity (9.8 m / s²) μ: The road friction coefficient (e.g. 0.7) is used to determine the safe speed range on the curve. Taking a 150-meter curve and a dry road (friction coefficient 0.7) as an example, the optimal speed is calculated to be between 40-50 km / h. If the speed exceeds this range, the system will consider that the speed does not match the curvature of the curve; Meteorological sensor: Detects temperature, humidity and precipitation to determine whether the road surface is slippery or icy; Wheel speed sensor: Real-time acquisition of wheel speed, detection of rear wheel slippage, and ensure traction control; Tilt sensor: Real-time monitoring of the motorcycle's tilt angle to calculate whether the motorcycle is in a safe tilt range; Decision support module: Mode selection: Based on the real-time collected GPS data and weather data, the system finds that the vehicle speed does not match the curvature of the curve, that is, the vehicle speed is too fast. The system automatically prompts "vehicle speed does not match" on the instrument panel 400 meters in advance and starts to adjust the ABS and TCS strategies; Control strategy: ABS adjustment: When the vehicle speed is too fast (e.g. the current speed is 60 km / h, and the recommended speed for a curve is 50 km / h), the ABS system automatically delays the braking response and reduces the braking pressure to 80% to avoid sudden braking causing the vehicle to lose control. The braking response delay is 0.3 seconds to 0.4 seconds. TCS regulation: The system reduces engine power by up to 50% to prevent the rear wheels from losing traction and help the driver negotiate corners smoothly. Execution module: ABS system: When the vehicle speed is too fast, ABS will delay the braking reaction and gradually reduce the braking pressure to avoid wheel locking. Before turning, ABS will dynamically adjust the braking system according to the matching of the vehicle speed calculated by the system and the curvature of the curve; TCS system: TCS will reduce engine output power when the vehicle speed is too fast to control rear wheel slip. By reducing engine power by up to 50%, it ensures the vehicle's stability when cornering. User interaction module: Yellow flashing light: When the system detects that the vehicle speed does not match the curvature of the upcoming curve, the yellow flashing light will light up 400 meters in advance to remind the driver that "the speed is too fast". The instrument panel will display "the speed does not match the curvature of the curve", reminding the driver to take action as soon as possible; Red flashing light: If the driver fails to slow down in time when approaching a curve with a mismatched curvature, the system will issue a stronger warning 300 meters in advance through a red flashing light and display "Slow down immediately" on the instrument panel; Green solid light: When the driver successfully slows down and passes the curve smoothly, the green solid light comes on, indicating that the system has resumed normal operation; Yellow light: Weather data or GPS data is lost for more than 10 seconds without update, yellow light will be on, and the system will automatically enter the safety mode and prompt on the instrument; Red light: This system (TAT) has a fault, the red light is on, and the corresponding fault code is displayed on the instrument panel; Effect: The system can calculate the matching of vehicle speed and curve curvature in real time, and automatically adjust the working status of ABS and TCS to ensure that the motorcycle can corner stably. The yellow and red flashing lights can effectively guide the driver to slow down in time to prevent loss of control on the curve due to excessive speed.

[0017] Example 3 - Driving in automatic mode: Background: In a motorcycle under changing weather and road conditions, the driver does not need to manually switch modes. The system automatically selects and adjusts the most suitable control strategy based on real-time data to provide the best driving safety and experience; Data collection and system testing: Meteorological sensors collect environmental data in real time (such as temperature, humidity, air pressure, precipitation, etc.), and infer the road surface conditions (such as wet, dry, etc.) based on these data; The GPS sensor provides important data for the decision support module by monitoring the vehicle's location information, speed, and the curvature of the road section to be entered in real time; Wheel speed sensors and inclination sensors provide vehicle driving status data, especially when cornering, to ensure smooth output of traction and braking; Decision support module: Mode selection: The system automatically selects the appropriate control mode (such as wet and slippery road mode, dry road mode, ice and snow road mode, etc.) based on real-time collected meteorological data, GPS data and vehicle dynamic data; Control strategy: ABS adjustment: The system automatically adjusts the braking response according to the current road conditions and vehicle speed to ensure the best braking effect in any environment; TCS regulation: The system dynamically adjusts the engine output to ensure stable traction under different road conditions and prevent wheel slippage; Execution module: ABS and TCS systems: The execution module automatically adjusts the braking and traction output according to the instructions of the ECU to ensure safe driving in different road conditions such as wet, dry, icy and snowy. The system automatically optimizes traction and braking control according to different road surfaces and driving conditions through real-time algorithms; User interaction module: Warning light and instrument panel: In automatic mode, the user interaction module displays "automatic mode" on the instrument panel and provides feedback based on the system's operating status. System status and fault information are provided to the driver through the instrument panel display and corresponding prompts; Effect: In automatic mode, the system can automatically adjust the control strategy according to weather, road conditions, vehicle status and driver behavior in real time. The driver does not need to manually switch modes. The system can automatically optimize traction and braking response according to road and weather conditions to provide the best driving experience and safety.

[0018] This article uses specific examples to illustrate the principles and implementation methods of the present invention. The above examples are only used to help understand the method and core ideas of the present invention. The above is only a preferred implementation of the present invention. It should be pointed out that due to the limitations of textual expression and the objective existence of infinite specific structures, ordinary technicians in this technical field can make several improvements, modifications or changes without departing from the principles of the present invention, and can also combine the above technical features in an appropriate manner; these improvements, modifications, changes or combinations, or the direct application of the inventive concept and technical solution to other occasions without improvement, should be regarded as the protection scope of the present invention.

Claims

1. The motorcycle ABS and TCS intelligent control system based on meteorological data and GPS data is characterized by: It includes data acquisition module, decision support module, execution module, user interaction module and redundancy guarantee module; The data acquisition module includes a meteorological data acquisition and processing unit, a GPS data acquisition and processing unit, a vehicle speed and curve curvature matching prediction unit and an inclination sensor; The decision support module includes a signal loss processing unit and a vehicle speed and curve curvature matching adjustment unit. The decision support module selects the most suitable control mode based on real-time data analysis and intelligent algorithms, and dynamically adjusts the working states of the TCS module and the ABS module for the best current and upcoming road conditions; The execution module adjusts the traction control and braking control systems according to the instructions of the decision support module; The user interaction module provides system status feedback to the driver through the prompt light and the instrument panel; The redundant protection module ensures that the system can still operate normally when a key sensor fails or loses its signal.

2. The motorcycle ABS and TCS intelligent control system based on meteorological data and GPS data according to claim 1 is characterized in that: The data acquisition module is responsible for collecting all data related to motorcycle driving, including environmental data and vehicle status data. The data will be transmitted to the decision support module for decision-making and control; The meteorological data acquisition and processing unit is used to process the real-time temperature, humidity and precipitation data acquired by the meteorological sensor, determine whether the road surface is slippery or icy, and rely on the cached meteorological data for system control when the meteorological data is not updated or the signal is lost; The GPS data acquisition and processing unit is used to calculate the current position of the motorcycle and the curvature of the upcoming curve in real time, determine the matching of the vehicle speed and the curvature of the curve, automatically adjust the working strategies of the ABS module and the TCS module, and use the cached GPS data to estimate the driving status when the GPS signal is lost or not updated; The vehicle speed and curve curvature matching prediction unit is used to predict the upcoming curve curvature based on GPS, meteorological data and real-time vehicle speed data, and to warn the driver in advance of dangerous situations based on the matching of vehicle speed and curve curvature, and automatically adjust the working modes of the TCS module and the ABS module.

3. The motorcycle ABS and TCS intelligent control system based on meteorological data and GPS data according to claim 1 is characterized in that: The decision support module is responsible for selecting the most suitable control mode according to the data from various sensors and adjusting the working state of the ABS module and the TCS module; The signal loss processing unit is used to automatically enter the safety mode when the GPS signal or weather data has not been updated for more than a preset time threshold, and adjust the working state of the TCS module and the ABS module according to the cached latest weather data and GPS data to ensure stable driving of the motorcycle; The vehicle speed and curve curvature matching adjustment unit is used to reduce the risk of loss of control due to excessive speed by adjusting the working status of the TCS module and the ABS module when the vehicle speed does not match the curve curvature, and prompt the driver to slow down through yellow flashing lights and red flashing lights.

4. The motorcycle ABS and TCS intelligent control system based on meteorological data and GPS data according to claim 1 is characterized in that: The execution module is responsible for adjusting the working status of the ABS module and the TCS module in real time according to the instructions of the decision support module to ensure the stability of the motorcycle. The execution module receives the control instructions of the ECU and performs precise traction control and braking control by adjusting the brake pressure and engine power.

5. The motorcycle ABS and TCS intelligent control system based on meteorological data and GPS data according to claim 1 is characterized in that: The user interaction module provides system status feedback to the driver through the prompt light and the instrument panel, especially providing necessary warnings when the system operates abnormally or enters a safety mode.

6. The motorcycle ABS and TCS intelligent control system based on meteorological data and GPS data according to claim 1 is characterized in that: When a key sensor fails or loses its signal, the redundant protection module can still continue to ensure the normal operation of the system through redundant data and cache mechanisms. The redundant protection module ensures that the motorcycle can still travel safely when there is no real-time data.

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