Energy-saving intelligent control method, system, device and medium for motorcycle LED projection lamp

Abstract

The present application discloses an energy-saving intelligent control method, system, device and medium for a motorcycle LED projection lamp, which relates to the field of energy-saving control technology. The method comprises obtaining driving environment parameters and battery status parameters through a sensor component pre-installed on a motorcycle; determining the current minimum lighting requirements and projection content complexity requirements according to the driving environment parameters and the battery status parameters; generating a comparison table according to the minimum lighting requirements and the projection content complexity requirements; obtaining a brightness change reference range that identifies the brightness change threshold of the LED projection lamp, and generating an LED projection lamp brightness control model according to the brightness change reference range and the comparison table; obtaining a first actual vehicle speed and a battery status, and inputting the first actual vehicle speed and the battery status into the LED projection lamp brightness control model to adjust the brightness of the LED projection lamp and the projection content complexity; the present application improves the energy consumption management effect of the motorcycle LED projection lamp and improves the endurance.

Description

Technical Field

[0001] The present application relates to the field of energy-saving control technology, and in particular to an energy-saving intelligent control method, system, device and medium for a motorcycle LED projection lamp. Background Art

[0002] With the continuous advancement of motorcycle technology and consumers' increasing requirements for riding experience, motorcycle LED projection lights, as important components for improving night riding safety and personalized display, have become the focus of market attention for their performance and intelligence level.

[0003] Traditional motorcycle LED projection lights usually use fixed brightness or simple manual adjustment methods, and cannot be intelligently adjusted according to the real-time driving environment and battery status. As a result, in a variety of complex road conditions, either insufficient lighting brightness affects riding safety, or excessive lighting causes unnecessary energy consumption and shortens battery life. In insufficient light or bad weather conditions, the risk of riding may increase due to insufficient brightness. And because it is impossible to accurately control lighting energy consumption, traditional LED projection lights will significantly shorten the battery life of the motorcycle after long-term use, affecting the user's riding experience and itinerary planning.

[0004] In summary, existing motorcycle LED projection lights have the defects of poor energy consumption management and insufficient endurance, and there is room for improvement. Summary of the invention

[0005] In order to improve the energy consumption management effect of motorcycle LED projection lights and increase endurance, the present application provides an energy-saving intelligent control method, system, device and medium for motorcycle LED projection lights.

[0006] In the first aspect, the invention objective of the present application is achieved by adopting the following technical solutions:

[0007] The energy-saving intelligent control method for motorcycle LED projection lamp includes:

[0008] Acquiring driving environment parameters and battery status parameters through a sensor assembly pre-installed on the motorcycle;

[0009] Determining the minimum lighting requirement and projection content complexity requirement currently required according to the driving environment parameters and the battery status parameters;

[0010] Generate a comparison table for comparing the brightness of LED projection lamps and the complexity of projection content according to the minimum lighting requirements and projection content complexity requirements;

[0011] Acquire a brightness change reference range that identifies a brightness change threshold of the LED projection lamp, and generate a brightness control model for the LED projection lamp according to the brightness change reference range and the comparison table;

[0012] A first actual vehicle speed and a battery status are obtained, and the first actual vehicle speed and the battery status are input into the LED projection lamp brightness control model to adjust the brightness of the LED projection lamp and the complexity of the projection content.

[0013] By adopting the above technical scheme, the present invention provides an intelligent energy-saving motorcycle LED projection lamp, which is more energy-efficient than the lighting control method of the traditional LED projection lamp. On the basis of ensuring the lighting brightness requirements of the riding lighting environment, the brightness of the motorcycle LED projection lamp and the complexity of the projection content are automatically adjusted according to the riding environment and lighting requirements to balance the energy consumption and battery life of the motorcycle LED projection lamp and extend the battery life of the motorcycle, thereby achieving the purpose of improving the energy consumption management effect of the motorcycle LED projection lamp and improving the battery life; specifically, the sensor component pre-installed on the motorcycle includes a photosensitive sensor, a speed sensor, a GPS module and a meteorological sensor, which obtains the driving speed, ambient light intensity, weather conditions, road conditions, and the remaining battery power and charging status of the battery in real time; to obtain the driving environment parameters and battery status parameters; and then use the machine learning algorithm to predict the future driving environment The changing trend is determined to determine the current minimum lighting requirement and projection content complexity requirement. By defining the brightness level and projection content complexity level under different driving environments, the requirements for brightness and projection content in different driving environments are analyzed according to historical data or experimental data. Based on the analysis results, a comparison table for adjusting the brightness of the LED projection lamp and the complexity of the projection content is generated. Then, thresholds for different brightness changes are defined, and a LED projection lamp brightness control model is generated in combination with the comparison table. During the actual driving process of the user, the actual driving speed and battery status of the motorcycle are obtained in real time, and these parameters are input into the LED projection lamp brightness control model to adjust the brightness of the LED projection lamp and the complexity of the projection content. Therefore, on the basis of meeting the lighting and projection requirements of the LED projection lamp when the motorcycle is driving in a complex driving environment, the intelligent control and energy-saving effects of the motorcycle are improved, which is beneficial to extending the service life of the LED projection lamp.

[0014] In a preferred example of the present application, the determining of the currently required minimum lighting requirement and projection content complexity requirement according to the driving environment parameter and the battery status parameter specifically includes:

[0015] Performing filtering and abnormal value detection on the driving environment parameters to obtain pre-processed driving environment parameters;

[0016] According to the preprocessed driving environment parameters and battery status parameters; based on the historical driving environment parameters, historical battery status parameters and current parameters, a machine learning algorithm is used to predict the future driving environment change trend, and the current minimum lighting requirements and projection content complexity requirements are determined.

[0017] By adopting the above technical solution,

[0018] In a preferred example of the present application, the comparison table for comparing the brightness of the LED projection lamp and the complexity of the projection content is generated according to the minimum lighting requirement and the projection content complexity requirement, including:

[0019] Define brightness levels and projection content complexity levels for different driving environments;

[0020] According to historical data or experimental data, the requirements for brightness and projection content in different driving environments are analyzed, and the analysis results are organized into a comparison table, which includes recommended values ​​of brightness levels and projection content complexity levels corresponding to different driving environment parameters; the comparison table is used to compare and adjust the brightness of the LED projection lamp and the complexity of the projection content.

[0021] By adopting the above technical solution, the brightness levels in different driving environments (such as day, night, rainy days, sunny days, etc.) are defined, such as low, medium, and high, and the projection content complexity levels, such as simple, medium, and complex; by defining different brightness levels and projection content complexity levels, it is ensured that the LED projection lamp can provide appropriate lighting and projection content in different driving environments while maximizing energy conservation. The comparison table provides a clear reference standard for adjusting the brightness of the LED projection lamp and the complexity of the projection content, which is conducive to maintaining the best lighting effect of the motorcycle under different driving conditions and improving the energy consumption management effect of the motorcycle.

[0022] In a preferred example of the present application, the obtaining of the first actual vehicle speed and the battery status, and inputting the first actual vehicle speed and the battery status into the LED projection lamp brightness control model to adjust the brightness of the LED projection lamp and the complexity of the projection content, specifically includes:

[0023] The actual speed and battery status of the motorcycle are acquired in real time through the speed sensor and battery management system;

[0024] Inputting the first actual vehicle speed and battery status into the LED projection lamp brightness control model to obtain the brightness of the LED projection lamp and the projection content complexity adjustment value;

[0025] The brightness and projection content complexity of the LED projection lamp are adjusted according to the brightness and projection content complexity adjustment values.

[0026] By adopting the above technical solution, the speed sensor and the battery management system transmit data to the central processing unit (CPU) through the CAN bus or other communication methods; the speed sensor is installed on the wheel of the motorcycle to detect the actual driving speed of the motorcycle in real time; the battery management system is integrated in the battery box of the motorcycle to monitor the remaining power and charging status of the battery in real time, and obtain the actual driving speed and battery status of the motorcycle in real time; the central processing unit (CPU) calculates the brightness and projection content complexity adjustment values ​​of the LED projection lamp based on the actual driving speed and battery status obtained, combined with the brightness control model, and through the brightness control model, ensures that the brightness and projection content complexity of the LED projection lamp always meet the current driving environment and battery status, thereby achieving dynamic energy saving.

[0027] In a preferred example of the present application, the driving environment parameters include driving speed, ambient light intensity, weather conditions and road conditions, and the method of determining the current minimum lighting requirements and projection content complexity requirements based on the driving environment parameters and battery status parameters also includes:

[0028] Predicting a first predicted vehicle speed when the vehicle enters a specific area and a second predicted vehicle speed when the vehicle leaves the specific area according to the driving speed, ambient light intensity, weather conditions and road conditions;

[0029] Calculating a ratio of the first predicted vehicle speed to the second predicted vehicle speed to obtain a predicted vehicle speed ratio for predicting a change in actual vehicle speed;

[0030] Based on the predicted vehicle speed ratio value, the currently required minimum lighting requirement and projection content complexity requirement are optimized.

[0031] By adopting the above technical solution, the specific area refers to the area with specific characteristics or condition changes in the motorcycle's driving path, which has a direct impact on riding safety, lighting requirements or projection content complexity; by using historical data and current driving environment parameters, by predicting future vehicle speed changes, ensure that the LED projection lamp can provide appropriate lighting and projection content under different driving conditions, while maximizing energy savings; the predicted vehicle speed ratio quantifies the changing trend of the vehicle speed to provide a digital basis for subsequent optimization, and adjusts the brightness level and projection content complexity level in the comparison table according to the predicted vehicle speed ratio; for example: if the predicted vehicle speed ratio is high, it means that the vehicle speed changes greatly, and higher brightness and more complex projection content may be required; if the predicted vehicle speed ratio is low, it means that the vehicle speed changes little, and the brightness can be appropriately reduced and the projection content can be simplified.

[0032] In a preferred example of the present application, after generating a comparison table for comparing the brightness of the LED projection lamp and the complexity of the projection content according to the minimum lighting requirement and the projection content complexity requirement, the application further includes:

[0033] Obtaining a predicted traffic light passing time according to the driving environment parameter and the first predicted vehicle speed and the second predicted vehicle speed;

[0034] Obtaining a designed lighting time according to the driving environment parameters and the minimum lighting requirement;

[0035] Calculate the time difference between the predicted light-on time and the designed light-on time;

[0036] Calculating the brightness change difference of the LED projection lamp according to the time difference;

[0037] According to the time difference and the brightness change difference, the brightness change timestamp and the projection content switching timestamp of the LED projection lamp in the current control cycle are obtained, and combined with the correspondence between the predicted vehicle speed ratio and the predicted brightness change time difference, the brightness change timestamp and the projection content switching timestamp of the next control cycle are optimized.

[0038] By adopting the above technical solution, the predicted time for the vehicle to pass through a specific area (such as a tunnel, a curve, etc.) is calculated using driving environment parameters (such as driving speed, ambient light intensity, weather conditions and road conditions) and the first predicted vehicle speed and the second predicted vehicle speed, so as to provide an accurate time reference for the subsequent brightness and projection content adjustment. According to the driving environment parameters and the minimum lighting requirements, the designed time for passing through the light is determined, that is, the time required to pass through a specific area under ideal conditions, which is conducive to ensuring that the best lighting and projection effects can be achieved under different driving conditions; by calculating the time difference, the difference between the current driving conditions and the ideal conditions is quantified, and the brightness change difference is analyzed and calculated, so as to ensure that the LED projection lamp can provide appropriate brightness under different driving conditions and realize dynamic energy saving. Finally, by optimizing the brightness change timestamp and the projection content switching timestamp, it is ensured that the LED projection lamp can provide the best lighting and projection effects under different driving conditions.

[0039] In a preferred example of the present application, the first actual vehicle speed and battery status are obtained, and the first actual vehicle speed and battery status are input into the LED projection lamp brightness control model to adjust the brightness of the LED projection lamp and the complexity of the projection content, and further includes:

[0040] The second actual speed of the motorcycle is obtained in real time through the speed sensor;

[0041] calculating a rate of change between the first actual vehicle speed and the second actual vehicle speed;

[0042] Based on the vehicle speed change rate, adjusting the parameters of the LED projection lamp brightness control model;

[0043] According to the adjusted brightness control model, the brightness of the LED projector lamp and the complexity of the projection content are adjusted again.

[0044] By adopting the above technical solution, the speed sensor obtains the second actual speed of the motorcycle in real time to reflect the current driving state. The second actual speed provides accurate data support for the subsequent speed change rate calculation and brightness control model adjustment; the speed change rate is used to quantify the speed change trend and provide a basis for the subsequent brightness control model adjustment; according to the speed change rate, the parameters of the LED projection lamp brightness control model are adjusted to adapt to different driving conditions; by adjusting the parameters of the brightness control model, it is ensured that the LED projection lamp can provide appropriate brightness and projection content under different driving conditions to achieve dynamic energy saving, and then by adjusting the brightness of the LED projection lamp and the complexity of the projection content again, it is ensured that the best lighting and projection effects can be provided under different driving conditions, while maximizing energy saving.

[0045] In the second aspect, the invention objective of the present application is achieved by adopting the following technical solutions:

[0046] The energy-saving intelligent control system for motorcycle LED projection lamp is applied to the energy-saving intelligent control method for motorcycle LED projection lamp as described above, and the system comprises:

[0047] A sensor assembly, pre-installed on the motorcycle and used to obtain driving environment parameters and battery status parameters;

[0048] A demand determination module, used to determine the minimum lighting demand and projection content complexity demand currently required according to the driving environment parameters and the battery status parameters;

[0049] A comparison table generating module, used to generate a comparison table for comparing the brightness of the LED projection lamp and the complexity of the projection content according to the minimum lighting requirement and the projection content complexity requirement;

[0050] A control model generation module, used to obtain a brightness change reference range identifying a brightness change threshold of the LED projection lamp, and generate a brightness control model of the LED projection lamp according to the brightness change reference range and the comparison table;

[0051] The parameter adjustment module is used to obtain a first actual vehicle speed and a battery status, and input the first actual vehicle speed and the battery status into the LED projection lamp brightness control model to adjust the brightness of the LED projection lamp and the complexity of the projection content.

[0052] By adopting the above technical solution, the sensor components pre-installed on the motorcycle include a photosensitive sensor, a speed sensor, a GPS module and a meteorological sensor, and the driving speed, the surrounding light intensity, the weather conditions, the road conditions, the remaining power of the battery and the charging status are obtained in real time; so as to obtain the driving environment parameters and the battery status parameters; then the machine learning algorithm is used to predict the future driving environment change trend, determine the minimum lighting demand and the projection content complexity demand required at present, and by defining the brightness level and the projection content complexity level under different driving environments, according to historical data or experimental data, analyze the requirements of different driving environments for brightness and projection content, and generate a comparison table for adjusting the brightness of the LED projection lamp and the complexity of the projection content based on the analysis results, and then define the thresholds of different brightness changes, and generate the LED projection lamp brightness control model in combination with the comparison table. In the actual driving process of the user, the actual driving speed and battery status of the motorcycle are obtained in real time, and these parameters are input into the LED projection lamp brightness control model to adjust the brightness of the LED projection lamp and the complexity of the projection content, so as to improve the intelligent control and energy-saving effect of the motorcycle on the basis of meeting the lighting and projection requirements of the LED projection lamp when the motorcycle is driving in a complex driving environment, which is conducive to extending the service life of the LED projection lamp.

[0053] In the third aspect, the invention objective of the present application is achieved by adopting the following technical solutions:

[0054] A computer device comprises a memory, a processor and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the energy-saving intelligent control method for motorcycle LED projection lamp are implemented.

[0055] In a fourth aspect, the invention objective of the present application is achieved by adopting the following technical solutions:

[0056] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the energy-saving intelligent control method for a motorcycle LED projection lamp.

[0057] In summary, the present application includes at least one of the following beneficial technical effects:

[0058] 1. The sensor components pre-installed on the motorcycle include a photosensitive sensor, a speed sensor, a GPS module and a meteorological sensor. The driving speed, the surrounding light intensity, the weather conditions, the road conditions, the remaining power of the battery and the charging status are obtained in real time to obtain the driving environment parameters and the battery status parameters. Then, the machine learning algorithm is used to predict the future driving environment change trend, determine the minimum lighting requirements and the projection content complexity requirements required at present, and analyze the requirements of different driving environments for brightness and projection content according to historical data or experimental data by defining the brightness level and projection content complexity level under different driving environments. Based on the analysis results, a comparison table for adjusting the brightness of the LED projection lamp and the complexity of the projection content is generated. Then, the thresholds of different brightness changes are defined, and the LED projection lamp brightness control model is generated in combination with the comparison table. During the actual driving process of the user, the actual driving speed and battery status of the motorcycle are obtained in real time, and these parameters are input into the LED projection lamp brightness control model to adjust the brightness of the LED projection lamp and the complexity of the projection content. Therefore, on the basis of meeting the lighting requirements of the motorcycle in a complex driving environment and the projection requirements of the LED projection lamp, the intelligent control and energy-saving effects of the motorcycle are improved, which is conducive to extending the service life of the LED projection lamp. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] Figure 1 It is a flow chart of an energy-saving intelligent control method for a motorcycle LED projection lamp in one embodiment of the present application;

[0060] Figure 2 It is a flow chart of step S2 in the energy-saving intelligent control method for motorcycle LED projection lamp in one embodiment of the present application;

[0061] Figure 3 It is a flow chart of step S5 in the energy-saving intelligent control method for motorcycle LED projection lamp in one embodiment of the present application;

[0062] Figure 4 It is a schematic diagram of a device in an embodiment of the present application. DETAILED DESCRIPTION

[0063] The present application is further described in detail below in conjunction with the accompanying drawings.

[0064] In one embodiment, if Figure 1 As shown, the present application discloses an energy-saving intelligent control method for a motorcycle LED projection lamp, which specifically includes the following steps:

[0065] S1: Acquire driving environment parameters and battery status parameters through a sensor component pre-installed on the motorcycle.

[0066] In this embodiment, the sensor components include a photosensor, a speed sensor, a GPS module and a meteorological sensor; the driving environment parameters include driving speed, ambient light intensity, weather conditions, and road conditions; and the battery status parameters include the remaining battery power and charging status.

[0067] Specifically, the sensor components are connected to the central processing unit (CPU) wirelessly or wired to transmit data in real time; the photosensor is installed on the front of the motorcycle, the speed sensor is installed on the wheel, the GPS module and the meteorological sensor are integrated in the dashboard of the motorcycle, and the battery management system is integrated in the battery box of the motorcycle to monitor the remaining power and charging status of the battery in real time.

[0068] S2: Determine the current minimum lighting requirement and projection content complexity requirement based on driving environment parameters and battery status parameters.

[0069] In this embodiment, the current minimum lighting requirement refers to the minimum lighting brightness required under the current riding conditions; the projection content complexity requirement refers to the complexity of the projection content that needs to be displayed in a specific driving environment to meet different lighting requirements. For example, in a complex traffic environment, more warning information or navigation prompts may need to be displayed, while on relatively simple roads, only basic lighting may be required. Furthermore, different driving modes, such as day mode, night mode, rainy day mode, etc., also have different requirements for the complexity of the mode content. The system can automatically adjust the complexity of the projection content and the display effect content according to the current driving mode.

[0070] Specifically, the central processing unit (CPU) has built-in machine learning algorithms to process sensor data in real time and generate prediction results.

[0071] S3: Generate a comparison table for comparing the brightness of the LED projection lamp and the complexity of the projection content according to the minimum lighting requirements and the projection content complexity requirements.

[0072] In this embodiment, the comparison table provides a clear reference standard for adjusting the brightness of the LED projection lamp and the complexity of the projection content.

[0073] Specifically, the brightness levels and projection content complexity levels under different driving environments are defined, and the requirements for brightness and projection content in different driving environments are analyzed based on historical data or experimental data. The analysis results are organized into a comparison table, which can be stored in the memory of the central processing unit to quickly find the corresponding brightness and projection content complexity levels according to different driving environment parameters.

[0074] S4: Obtain a brightness change reference range that identifies a brightness change threshold of the LED projection lamp, and generate a brightness control model for the LED projection lamp according to the brightness change reference range and a comparison table.

[0075] In this embodiment, thresholds for different brightness changes are defined, such as each brightness change does not exceed 10%, and a brightness control model for the LED projection lamp is generated in combination with a reference table. Thresholds for different brightness changes are defined, such as each brightness change does not exceed 10%, and a brightness control model for the LED projection lamp is generated in combination with a reference table.

[0076] Specifically, the central processing unit (CPU) generates a brightness control model according to a brightness change threshold and a comparison table; the brightness change threshold can be set by a user or a default value, and the brightness control model can be dynamically adjusted according to different driving environment parameters.

[0077] S5: Obtaining a first actual vehicle speed and a battery status, and inputting the first actual vehicle speed and the battery status into an LED projection lamp brightness control model to adjust the brightness of the LED projection lamp and the complexity of projection content.

[0078] In this embodiment, the speed sensor and the battery management system transmit data to the central processing unit in real time, and the central processing unit generates adjustment instructions according to the brightness control model; the adjustment instructions are sent to the LED projection lamp controller via the CAN bus or other communication methods to achieve real-time adjustment of the brightness and complexity of the projection content.

[0079] Specifically, the adjustment of the brightness of the LED projection lamp and the complexity of the projection content includes: the LED projection lamp controller receives the adjustment instructions of the central processing unit (CPU) and adjusts the brightness of the LED projection lamp through the PWM (pulse width modulation) signal; the adjustment of the complexity of the projection content is achieved by changing the display content and resolution of the LED projection lamp, for example, displaying simple navigation information when driving at high speed, and displaying detailed road condition information when driving at low speed.

[0080] Furthermore, a user interface may be provided to allow the rider to manually select or adjust the operating mode of the LED projection lamp to suit personal preferences. The user interface may be a touch screen or physical buttons integrated on the dashboard of the motorcycle.

[0081] In one embodiment, if Figure 2 As shown, in step S2, the currently required minimum lighting requirement and projection content complexity requirement are determined according to the driving environment parameters and the battery status parameters, specifically including:

[0082] S21: Filtering and detecting abnormal values ​​of the driving environment parameters to obtain pre-processed driving environment parameters.

[0083] In this embodiment, a Kalman filter is used to filter driving environment parameters such as driving speed and light intensity, and a statistical method is used to detect and eliminate outliers. The filtering process and outlier detection improve the accuracy and reliability of the data.

[0084] Specifically, the central processing unit (CPU) has built-in filtering algorithms and outlier detection algorithms to process sensor data in real time.

[0085] S22: Based on the preprocessed driving environment parameters and battery status parameters; based on the historical driving environment parameters, historical battery status parameters and current parameters, a machine learning algorithm is used to predict the future driving environment change trend, and determine the current minimum lighting requirements and projection content complexity requirements.

[0086] In this embodiment, historical data and current parameters are used to predict future driving environment change trends through machine learning algorithms (such as long short-term memory network LSTM); by predicting future driving environment change trends, it is ensured that the LED projection lamp can provide appropriate lighting and projection content under different driving conditions.

[0087] Specifically, historical driving environment parameters and historical battery status parameters are first collected, and the machine learning model (such as LSTM) is trained using historical data to ensure that the model can accurately predict future driving environment change trends; in actual use, the central processing unit (CPU) generates prediction results in real time based on the current driving environment parameters and battery status parameters combined with historical data; then, based on the prediction results, the current minimum lighting requirements and projection content complexity requirements are determined; for example: if a long dark road section is predicted ahead, the system will increase the brightness in advance; if clear weather is predicted ahead, the system will appropriately reduce the brightness to save energy.

[0088] In one embodiment, in step S3, a comparison table for comparing the brightness of LED projection lamps and the complexity of projection content is generated according to the minimum lighting requirement and the projection content complexity requirement, including:

[0089] S31: Define the brightness level and projection content complexity level under different driving environments.

[0090] Specifically, the brightness levels (such as low, medium-low, medium, high) and the projection content complexity levels (such as simple, medium, complex) under different driving environments (such as day, night, rainy day, sunny day) are defined.

[0091] Exemplarily, the brightness levels include: low (10% brightness), medium-low (50% brightness), medium (70% brightness), and high (100% brightness); the projection content complexity levels include: simple (basic navigation information), medium (traffic information and navigation information), and complex (detailed traffic information, navigation information, and entertainment information).

[0092] S32: Analyze the requirements of different driving environments for brightness and projection content based on historical data or experimental data, and organize the analysis results into a comparison table, which includes recommended values ​​of brightness levels and projection content complexity levels corresponding to different driving environment parameters; the comparison table is used to compare and adjust the brightness of the LED projection lamp and the complexity of the projection content.

[0093] In this embodiment, a statistical analysis method (such as regression analysis, cluster analysis, etc.) is used to analyze the requirements of different driving environments for brightness and projection content, and then a comparison table is generated based on the analysis results. The comparison table includes recommended values ​​of brightness levels and projection content complexity levels corresponding to different driving environment parameters; the comparison table is stored in the memory of the central processing unit (CPU).

[0094] In one embodiment, if Figure 3 As shown, in step S5, the first actual vehicle speed and battery status are obtained, and the first actual vehicle speed and battery status are input into the LED projection lamp brightness control model to adjust the brightness of the LED projection lamp and the complexity of the projection content, specifically including:

[0095] S51: The actual running speed and battery status of the motorcycle are obtained in real time through the speed sensor and the battery management system.

[0096] In this embodiment, the speed sensor is installed on the wheel of the motorcycle, and can detect the wheel speed through the Hall effect or magnetic induction principle, and then calculate the driving speed, which is used to detect the actual driving speed of the motorcycle in real time; the battery management system is integrated in the battery box of the motorcycle, and monitors the status of the battery through voltage, current and temperature sensors, which is used to monitor the remaining power and charging status of the battery in real time.

[0097] S52: Inputting the first actual vehicle speed and the battery status into the LED projection lamp brightness control model to obtain the brightness of the LED projection lamp and the projection content complexity adjustment value.

[0098] Specifically, the central processing unit (CPU) has a built-in brightness control model that processes the actual driving speed and battery status data in real time, generates brightness and projection content complexity adjustment values, and sends them to the LED projection lamp controller through the communication interface.

[0099] S53: adjusting the brightness of the LED projection lamp and the complexity of the projection content according to the brightness and projection content complexity adjustment values.

[0100] In this embodiment, the LED projection lamp controller receives an adjustment instruction from a central processing unit (CPU), adjusts the brightness of the LED projection lamp through a PWM (pulse width modulation) signal, and adjusts the complexity of the projection content by changing the display content and resolution.

[0101] Specifically, the driving current of the LED lamp is adjusted through the PWM signal to change the brightness. For example, low brightness (10% brightness), medium-low brightness (50% brightness), medium brightness (70% brightness), high brightness (100% brightness); Projection content complexity adjustment: By changing the display content and resolution of the LED projection lamp, the complexity of the projection content is adjusted; for example, simple navigation information is displayed when driving at high speed, and detailed road information and entertainment information are displayed when driving at low speed.

[0102] In one embodiment, in step S2, the energy-saving intelligent control method for a motorcycle LED projection lamp further includes:

[0103] S201: Predicting a first predicted vehicle speed when the vehicle enters a specific area and a second predicted vehicle speed when the vehicle leaves the specific area based on the driving speed, ambient light intensity, weather conditions, and road conditions.

[0104] In this embodiment, the specific area refers to an area in the motorcycle's driving path that has specific characteristics or changes in conditions, which has a direct impact on riding safety, lighting requirements, or projection content complexity; the specific area can be defined based on a variety of factors, including but not limited to the following:

[0105] 1. Changes in road types: For example, entering a highway from an urban road, or exiting a highway and entering a rural road; different types of roads have different requirements for vehicle speed, lighting, and projection content.

[0106] 2. Changes in traffic conditions: such as approaching busy intersections, tunnel entrances / exits, bridges, construction areas, etc.; these areas require higher lighting brightness and clearer projection content to ensure riding safety due to heavy traffic, obstructed vision or complex road conditions.

[0107] 3. Environmental changes: such as entering or leaving mountainous areas, forested areas, urban dense areas, etc.; different environments have different impacts on lighting conditions, weather conditions and road conditions, so the lighting and projection strategies need to be adjusted to adapt to these changes.

[0108] 4. Safety warning areas: such as school areas, hospital entrances, residential areas, etc.

[0109] Specifically, the first predicted speed: based on the current driving speed, road type, traffic flow and other factors, predicts the speed of the vehicle when it enters a specific area (such as a tunnel, bridge, curve, etc.); the second predicted speed is also based on multiple factors to predict the speed of the vehicle when it leaves the area; the predicted speed ratio is calculated by calculating the ratio of the first predicted speed to the second predicted speed, which is used to evaluate the degree and direction of the speed change; uses GPS data and map information to identify the specific area that the motorcycle is about to enter; combines historical traffic data, real-time traffic information and vehicle dynamic models to predict the speed of the vehicle when entering and leaving the area; considers the driver's driving habits, road speed limits and other factors to fine-tune the prediction results.

[0110] S202: Calculate the ratio of the first predicted vehicle speed to the second predicted vehicle speed to obtain a predicted vehicle speed ratio for predicting a change in the actual vehicle speed.

[0111] Specifically, by predicting the change in the vehicle speed ratio, it is determined whether the speed of the motorcycle increases, decreases, or remains unchanged.

[0112] S203: Based on the predicted vehicle speed ratio, optimizing the current minimum lighting requirement and projection content complexity requirement.

[0113] Specifically, optimizing lighting requirements and projection content complexity means adjusting the brightness of LED projection lights according to the predicted vehicle speed ratio and driving environment parameters; for example, when the predicted vehicle speed increases, the lighting brightness is appropriately increased to meet the needs of a longer field of vision; when the predicted vehicle speed decreases, the lighting brightness is reduced to save energy. At the same time, according to vehicle speed changes and road conditions, the complexity and display frequency of the projection content are adjusted; in complex road conditions, the display frequency and clarity of warning information are increased; in simple road conditions, the complexity of the projection content is reduced to reduce energy consumption; combined with battery status parameters, ensure that the adjustment of the lighting and projection systems does not consume excessive battery power, ensuring a stable energy supply during riding.

[0114] In one embodiment, after step S3, the energy-saving intelligent control method for a motorcycle LED projection lamp further includes:

[0115] S31: Obtaining a predicted traffic light passing time according to the driving environment parameter and the first predicted vehicle speed and the second predicted vehicle speed.

[0116] In this embodiment, the predicted traffic light time is based on the driving environment parameters and the first predicted vehicle speed and the second predicted vehicle speed to estimate the time required for the motorcycle to pass through a specific area (such as a tunnel, a bridge, a curve, etc.);

[0117] Specifically, the GPS data and map information are used, combined with the first predicted vehicle speed and the second predicted vehicle speed, to estimate the time required for a motorcycle to pass through a specific area; the predicted traffic light time is corrected by considering the impact of factors such as road type, traffic flow, and weather conditions on the driving speed.

[0118] S32: Obtaining a designed light-on time according to driving environment parameters and minimum lighting requirements.

[0119] In this embodiment, the light-on time is designed: based on the driving environment parameters and the minimum lighting requirements, the length of time that the LED projection lamp should maintain a specific brightness or project content when the motorcycle passes through a specific area is artificially set; based on the driving environment parameters (such as light intensity, weather conditions, etc.) and the minimum lighting requirements, the length of time that the LED projection lamp should maintain a specific brightness or project content when the motorcycle passes through a specific area is set; the designed light-on time should meet the basic requirements for safe driving and take energy-saving effects into consideration.

[0120] S33: Calculate the time difference between the predicted light-on time and the designed light-on time.

[0121] Specifically, the time difference is used to predict the difference between the time to pass the light and the designed time to pass the light, reflecting the difference between the actual driving conditions and the preset conditions.

[0122] S34: Calculate the brightness change difference of the LED projection lamp according to the time difference.

[0123] In this embodiment, the brightness change difference is the brightness change amount that the LED projection lamp needs to adjust calculated based on the time difference, which is used to guide the specific implementation of the brightness adjustment; based on the time difference and the preset brightness adjustment strategy (such as linear change, step change, etc.), the brightness change difference that the LED projection lamp needs to adjust is calculated to ensure that the brightness change difference is within a reasonable range to avoid sudden changes in brightness causing discomfort to the driver.

[0124] S35: According to the time difference and the brightness change difference, the brightness change timestamp and the projection content switching timestamp of the LED projection lamp in the current control cycle are obtained, and the brightness change timestamp and the projection content switching timestamp of the next control cycle are optimized based on the correspondence between the predicted vehicle speed ratio and the predicted brightness change time difference.

[0125] In this embodiment, the current control cycle refers to the time period from the current time point to the next time the control system executes a complete control cycle. During this period, the control system of the motorcycle LED projection light will collect real-time data of the motorcycle (such as vehicle speed, battery status, and driving environment parameters). Based on these data, the control system will calculate and adjust parameters such as the brightness of the LED projection light and the complexity of the projection content. It will also determine the specific behavior of the LED projection light in the current period based on the preset algorithm and control strategy, such as the appropriate start or end of brightness change, appropriate switching of projection content, etc.; the brightness change timestamp refers to the specific time point in the current control cycle used to indicate when the LED projection light starts or ends the brightness change and when the projection content is switched; the next control cycle refers to the time period of the next complete control cycle that the control system is about to execute after the current control cycle lags; the predicted speed ratio is the ratio of the first predicted speed to the second predicted speed, which reflects the trend and degree of speed change and is used to optimize the brightness change timestamp and projection content switching timestamp of the next control cycle.

[0126] Specifically, within the current control cycle, the brightness change timestamp and projection content switching timestamp of the LED projection lamp are determined based on the time difference and the brightness change difference; the brightness change timestamp and projection content switching timestamp of the next control cycle are optimized based on the correspondence between the predicted vehicle speed ratio and the predicted brightness change time difference; the optimized timestamp is fine-tuned considering the trend and degree of vehicle speed change and the delay effect of the LED projection lamp response time to ensure that the system can accurately and promptly respond to changes in the driving environment.

[0127] In one embodiment, in step S5, the energy-saving intelligent control method for a motorcycle LED projection lamp further includes:

[0128] S501: Obtain a second actual vehicle speed of the motorcycle in real time through a speed sensor.

[0129] In this embodiment, the second actual vehicle speed refers to the latest running speed of the motorcycle acquired in real time by the speed sensor after the first actual vehicle speed, and is used to compare with the first actual vehicle speed to calculate the vehicle speed change rate.

[0130] S502: Calculate the change rate between the first actual vehicle speed and the second actual vehicle speed.

[0131] In this embodiment, the vehicle speed change rate is the change ratio between the first actual vehicle speed and the second actual vehicle speed, which reflects the speed and direction of the vehicle speed change and is an important basis for adjusting the parameters of the LED projection lamp brightness control model.

[0132] Specifically, the values ​​of the first actual vehicle speed and the second actual vehicle speed are read from the data cache; the vehicle speed change rate is calculated using a formula (such as vehicle speed change rate = (second actual vehicle speed - first actual vehicle speed) / first actual vehicle speed) to filter the calculated vehicle speed change rate to eliminate the influence of noise and outliers.

[0133] S503: Adjusting parameters of the LED projection lamp brightness control model based on the vehicle speed change rate.

[0134] Specifically, the type of parameters that need to be adjusted and the direction of adjustment are determined based on the positive or negative and size of the vehicle speed change rate; for example, when the vehicle speed change rate is large, the sensitivity of the brightness adjustment may need to be increased to respond to the vehicle speed change more quickly; when the vehicle speed change rate is small, the sensitivity of the brightness adjustment can be maintained or reduced to avoid visual discomfort caused by frequent adjustments; the relevant parameters in the LED projection lamp brightness control model are fine-tuned to adapt to the new situation brought about by the vehicle speed change.

[0135] S504: According to the adjusted brightness control model, the brightness of the LED projection lamp and the complexity of the projection content are adjusted again.

[0136] In this embodiment, the adjusted LED projection lamp brightness control model parameters are input into the control algorithm; the optimal brightness and projection content complexity of the LED projection lamp are recalculated based on the new control parameters and the current driving environment parameters (such as light intensity, weather conditions, etc.) and battery status; the LED projection lamp is driven by a control signal to execute the new brightness and projection content complexity settings, thereby achieving the purpose of dynamic adjustment.

[0137] It should be understood that the serial numbers of the steps in the above embodiments do not imply a sequence of execution. The execution sequence of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0138] In one embodiment, an energy-saving intelligent control system for a motorcycle LED projection lamp is provided, and the energy-saving intelligent control system for a motorcycle LED projection lamp corresponds to the energy-saving intelligent control method for a motorcycle LED projection lamp in the above embodiment.

[0139] The energy-saving intelligent control system for motorcycle LED projection lamps includes a sensor component, a demand determination module, a comparison table generation module, a control model generation module and a parameter adjustment module. The detailed description of each functional module is as follows:

[0140] A sensor assembly, pre-installed on the motorcycle and used to obtain driving environment parameters and battery status parameters;

[0141] A demand determination module, used to determine the minimum lighting demand and projection content complexity demand currently required according to driving environment parameters and battery status parameters;

[0142] A comparison table generation module, used to generate a comparison table for comparing the brightness of the LED projection lamp and the complexity of the projection content according to the minimum lighting requirements and the projection content complexity requirements;

[0143] A control model generation module is used to obtain a brightness change reference range that identifies a brightness change threshold of the LED projection lamp, and generate a brightness control model of the LED projection lamp according to the brightness change reference range and a comparison table;

[0144] The parameter adjustment module is used to obtain a first actual vehicle speed and a battery status, and input the first actual vehicle speed and the battery status into the LED projection lamp brightness control model to adjust the brightness of the LED projection lamp and the complexity of the projection content.

[0145] For the specific limitations of the energy-saving intelligent control system for motorcycle LED projection lights, please refer to the limitations of the energy-saving intelligent control method for motorcycle LED projection lights in the above text, which will not be repeated here; the various modules in the above-mentioned energy-saving intelligent control system for motorcycle LED projection lights can be fully or partially implemented by software, hardware and their combination; the above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the corresponding operations of the above-mentioned modules.

[0146] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Figure 4 As shown. The computer device includes a processor, a memory, a network interface and a database connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store driving environment parameters, battery status parameters and LED projection lamp brightness control models, etc. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, an energy-saving intelligent control method for a motorcycle LED projection lamp is implemented.

[0147] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the following steps when executing the computer program:

[0148] S1: Acquire driving environment parameters and battery status parameters through a sensor component pre-installed on the motorcycle;

[0149] S2: Determine the minimum lighting requirement and projection content complexity requirement at present according to the driving environment parameters and the battery status parameters;

[0150] S3: generating a comparison table for comparing the brightness of the LED projection lamp and the complexity of the projection content according to the minimum lighting requirements and the projection content complexity requirements;

[0151] S4: obtaining a brightness change reference range that identifies a brightness change threshold of the LED projection lamp, and generating a brightness control model for the LED projection lamp according to the brightness change reference range and a comparison table;

[0152] S5: Obtaining a first actual vehicle speed and a battery status, and inputting the first actual vehicle speed and the battery status into an LED projection lamp brightness control model to adjust the brightness of the LED projection lamp and the complexity of projection content.

[0153] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0154] S1: Acquire driving environment parameters and battery status parameters through a sensor component pre-installed on the motorcycle;

[0155] S2: Determine the minimum lighting requirement and projection content complexity requirement at present according to the driving environment parameters and the battery status parameters;

[0156] S3: generating a comparison table for comparing the brightness of the LED projection lamp and the complexity of the projection content according to the minimum lighting requirements and the projection content complexity requirements;

[0157] S4: obtaining a brightness change reference range that identifies a brightness change threshold of the LED projection lamp, and generating a brightness control model for the LED projection lamp according to the brightness change reference range and a comparison table;

[0158] S5: Obtaining a first actual vehicle speed and a battery status, and inputting the first actual vehicle speed and the battery status into an LED projection lamp brightness control model to adjust the brightness of the LED projection lamp and the complexity of projection content.

[0159] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of configurations, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), Synchlink DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct RAM bus dynamic RAM (DRDRAM), and RAM bus dynamic RAM (RDRAM), among others.

[0160] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0161] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, it should be understood by those skilled in the art that the technical solutions described in the aforementioned embodiments may still be modified, or some of the features thereof may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. An energy-saving intelligent control method for motorcycle LED projection lamps, characterized in that: include: Acquiring driving environment parameters and battery status parameters through a sensor assembly pre-installed on the motorcycle; Determining the minimum lighting requirement and projection content complexity requirement currently required according to the driving environment parameters and the battery status parameters; Generate a comparison table for comparing the brightness of LED projection lamps and the complexity of projection content according to the minimum lighting requirements and projection content complexity requirements; Acquire a brightness change reference range that identifies a brightness change threshold of the LED projection lamp, and generate a brightness control model for the LED projection lamp according to the brightness change reference range and the comparison table; Acquire a first actual vehicle speed and a battery status, and input the first actual vehicle speed and the battery status into the LED projection lamp brightness control model to adjust the brightness of the LED projection lamp and the complexity of projection content; The obtaining of the first actual vehicle speed and the battery status, and inputting the first actual vehicle speed and the battery status into the LED projection lamp brightness control model to adjust the brightness of the LED projection lamp and the complexity of the projection content, specifically includes: The first actual speed and battery status of the motorcycle are obtained in real time through the speed sensor and the battery management system; Inputting the first actual vehicle speed and battery status into the LED projection lamp brightness control model to obtain the brightness of the LED projection lamp and the projection content complexity adjustment value; According to the brightness and projection content complexity adjustment values, adjust the brightness of the LED projection lamp and the complexity of the projection content; The driving environment parameters include driving speed, ambient light intensity, weather conditions and road conditions. The determining of the current minimum lighting requirements and projection content complexity requirements based on the driving environment parameters and battery status parameters also includes: Predicting a first predicted vehicle speed when the vehicle enters a specific area and a second predicted vehicle speed when the vehicle leaves the specific area according to the driving speed, ambient light intensity, weather conditions and road conditions; Calculating a ratio of the first predicted vehicle speed to the second predicted vehicle speed to obtain a predicted vehicle speed ratio for predicting a change in actual vehicle speed; Based on the predicted vehicle speed ratio value, the currently required minimum lighting requirement and projection content complexity requirement are optimized.

2. The energy-saving intelligent control method for motorcycle LED projection lamp according to claim 1, characterized in that: The determining, according to the driving environment parameters and the battery status parameters, the currently required minimum lighting requirement and projection content complexity requirement specifically includes: Performing filtering and abnormal value detection on the driving environment parameters to obtain pre-processed driving environment parameters; According to the preprocessed driving environment parameters and battery status parameters; based on the historical driving environment parameters, historical battery status parameters and current parameters, a machine learning algorithm is used to predict the future driving environment change trend, and the current minimum lighting requirements and projection content complexity requirements are determined.

3. The energy-saving intelligent control method for motorcycle LED projection lamp according to claim 1, characterized in that: The generating, according to the minimum lighting requirement and the projection content complexity requirement, a comparison table for comparing the brightness of the LED projection lamp and the complexity of the projection content comprises: Define brightness levels and projection content complexity levels for different driving environments; According to historical data or experimental data, the requirements for brightness and projection content in different driving environments are analyzed, and the analysis results are organized into a comparison table, which includes recommended values ​​of brightness levels and projection content complexity levels corresponding to different driving environment parameters; the comparison table is used to compare and adjust the brightness of the LED projection lamp and the complexity of the projection content.

4. The energy-saving intelligent control method for motorcycle LED projection lamp according to claim 1, characterized in that: After generating a comparison table for comparing the brightness of the LED projection lamp and the complexity of the projection content according to the minimum lighting requirement and the projection content complexity requirement, the method further includes: Obtaining a predicted traffic light passing time according to the driving environment parameter and the first predicted vehicle speed and the second predicted vehicle speed; Obtaining a designed lighting time according to the driving environment parameters and the minimum lighting requirement; Calculate the time difference between the predicted light-on time and the designed light-on time; Calculating the brightness change difference of the LED projection lamp according to the time difference; According to the time difference and the brightness change difference, the brightness change timestamp and the projection content switching timestamp of the LED projection lamp in the current control cycle are obtained, and combined with the correspondence between the predicted vehicle speed ratio and the predicted brightness change time difference, the brightness change timestamp and the projection content switching timestamp of the next control cycle are optimized.

5. The energy-saving intelligent control method for motorcycle LED projection lamp according to claim 4 is characterized in that: The acquiring of the first actual vehicle speed and the battery status, and inputting the first actual vehicle speed and the battery status into the LED projection lamp brightness control model to adjust the brightness of the LED projection lamp and the complexity of the projection content, further includes: The second actual speed of the motorcycle is obtained in real time through the speed sensor; calculating a vehicle speed change rate between the first actual vehicle speed and the second actual vehicle speed; Based on the vehicle speed change rate, adjusting the parameters of the LED projection lamp brightness control model; According to the adjusted brightness control model, the brightness of the LED projector lamp and the complexity of the projection content are adjusted again.

6. Energy-saving intelligent control system for motorcycle LED projection lamp, characterized in that: Applied to the energy-saving intelligent control method for motorcycle LED projection lamp according to any one of claims 1 to 5, the system comprises: A sensor assembly, pre-installed on the motorcycle and used to obtain driving environment parameters and battery status parameters; A demand determination module, used to determine the minimum lighting demand and projection content complexity demand currently required according to the driving environment parameters and the battery status parameters; A comparison table generating module, used to generate a comparison table for comparing the brightness of the LED projection lamp and the complexity of the projection content according to the minimum lighting requirement and the projection content complexity requirement; A control model generation module, used to obtain a brightness change reference range identifying a brightness change threshold of the LED projection lamp, and generate a brightness control model of the LED projection lamp according to the brightness change reference range and the comparison table; The parameter adjustment module is used to obtain a first actual vehicle speed and a battery status, and input the first actual vehicle speed and the battery status into the LED projection lamp brightness control model to adjust the brightness of the LED projection lamp and the complexity of the projection content.

7. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the energy-saving intelligent control method for a motorcycle LED projection lamp as described in any one of claims 1 to 5 are implemented.

8. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the energy-saving intelligent control method for a motorcycle LED projection lamp as described in any one of claims 1 to 5 are implemented.

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