A night fishing auxiliary control system and method based on a DLP projection car lamp

Abstract

The application provides a night fishing auxiliary control system and method based on a DLP projection car lamp, and relates to the field of vehicle-mounted lighting and intelligent control. The system comprises a DLP projection car lamp, a vehicle cabin domain controller, an underwater sensor module and a mobile terminal. The underwater sensor module is used for collecting underwater fish distribution data, water temperature data and light intensity data, and feeding the data back to the vehicle cabin domain controller. The vehicle cabin domain controller is used for dynamically generating control parameters of the DLP projection car lamp according to a built-in fusion algorithm based on the data transmitted by the underwater sensor module. The DLP projection car lamp is used for controlling the projected light intensity, light spot shape, light direction and color temperature based on the control parameters of the vehicle cabin domain controller. The mobile terminal and the vehicle cabin domain controller are bidirectionally interactive. The DLP projection technology and sensor data are used to dynamically adjust the light source, intelligently guide the fish, and improve the fishing efficiency.

Description

Technical Field

[0001] This invention relates to the field of vehicle lighting and intelligent control, specifically to a night fishing auxiliary control system and method based on DLP projection vehicle lights. Background Technology

[0002] Night fishing is a common fishing method, but due to insufficient light, anglers often face problems such as difficulty in observing the float and locating fish schools. Traditional night fishing lights are mostly fixed illuminations, lacking intelligent adjustment capabilities, and may disturb fish, reducing fishing efficiency. In addition, the underwater environment is complex, and fish respond dynamically to light, requiring an intelligent adjustment method to optimize the light source.

[0003] DLP projection technology has been widely used in vehicle lighting systems, featuring high-precision illumination control and the ability to dynamically adjust the shape, brightness, and direction of the light source. However, there is currently no system that applies DLP projection vehicle lights to night fishing. Therefore, there is an urgent need to develop a night fishing assistance system based on DLP projection vehicle lights to intelligently control the light source to guide fish and provide real-time data feedback.

[0004] The above-mentioned problems urgently need to be solved. Summary of the Invention

[0005] The purpose of this invention is to overcome at least one technical problem existing in the prior art and to provide a night fishing auxiliary control system and method based on DLP projection vehicle lights.

[0006] On one hand, this invention provides a nighttime fishing assistance control system based on a DLP projection vehicle headlight. The control system includes: a DLP projection vehicle headlight, a vehicle cabin domain controller, an underwater sensor module, and a mobile terminal. The underwater sensor module collects underwater fish distribution data, water temperature data, and light intensity data, and feeds the data back to the vehicle cabin domain controller. The vehicle cabin domain controller dynamically generates control parameters for the DLP projection vehicle headlight based on the data transmitted by the underwater sensor module using a built-in fusion algorithm. The DLP projection vehicle headlight controls one or a combination of the projected light intensity, light spot shape, light direction, and color temperature based on the control parameters of the vehicle cabin domain controller. The mobile terminal interacts bidirectionally with the vehicle cabin domain controller, acquiring and displaying the data transmitted by the underwater sensor module in real time. The mobile terminal also sends control commands to the vehicle cabin domain controller, causing the controller to adjust the lighting mode based on the control commands.

[0007] Furthermore, the underwater sensor module integrates a sonar, a temperature sensor, and a light sensor; the sonar is used to acquire one or a combination of the fish's position, size, swimming direction, and swimming speed; the temperature sensor is used to acquire underwater temperature data; and the light sensor is used to acquire underwater light intensity data.

[0008] Furthermore, the vehicle cockpit domain controller integrates a fusion algorithm, including a density-based DBSCAN clustering algorithm and a Kalman filter, a water temperature-light coupling model, and a light spot shape adjustment strategy. The density-based DBSCAN clustering algorithm and Kalman filter are used to spatially cluster the point cloud data of the fish swarm based on the received sonar data on the position, size, swimming direction, and swimming speed of the fish swarm. The water temperature-light coupling model is used to calculate the optimal light wavelength and light intensity based on the underwater temperature data and underwater light data transmitted by the temperature sensor and the light sensor. The light spot shape adjustment strategy is used to generate the light spot shape based on the underwater fish swarm distribution data.

[0009] Furthermore, the density-based DBSCAN clustering algorithm is used to identify effective fish clusters and obtain the centroid coordinates of the fish schools; the Kalman filter is used to predict the movement trajectory of the fish schools and obtain the movement speed vector of the fish schools.

[0010] Furthermore, control parameters for adjusting the illumination direction of the DLP projection vehicle light are generated based on the centroid coordinates and the movement speed vector of the fish school. The control parameters for the illumination direction include the center coordinates of the light spot and the coverage area of ​​the light spot. The center coordinates of the light spot are dynamically offset by a preset amount according to the centroid coordinates of the fish school. The coverage area of ​​the light spot is positively correlated with the standard deviation of the fish school distribution.

[0011] Furthermore, the mathematical formula for the water temperature-light coupling model is as follows:

[0012] λ opt (T)=λ base +k·(TT ref ) 2 ;

[0013]

[0014] In the formula, λ opt (T) represents the optimal wavelength, λ base This represents the baseline preferred wavelength of the target fish species, which is pre-calibrated experimentally. T represents the real-time water temperature. ref This represents the reference temperature, taken as 20℃, k represents the fish sensitivity coefficient, and I... comp Indicates the output light intensity, I base L represents the reference light intensity. env Indicates ambient light intensity, Lthreshold Υ represents the interference threshold, and δ represents the compensation coefficient.

[0015] Furthermore, the light spot shape adjustment strategy includes: determining the aggregation state, swimming direction, and swimming speed of the fish school based on sonar data, and generating an adjustment strategy for the light spot shape based on the aggregation state, swimming direction, and swimming speed of the fish school; and / or formulating a corresponding light spot shape adjustment strategy by combining underwater temperature data and underwater light intensity data; and / or formulating a corresponding light spot shape adjustment strategy based on the light preferences and behavioral habits of different fish species.

[0016] Furthermore, the database in the mobile terminal stores target fish species and their corresponding spectral preferences, suitable water temperature ranges, and phototactic behavior patterns; the mobile terminal is also used to directly generate control commands based on user-inputted target fish species to control the DLP projection vehicle lights to project using the illumination parameters stored in the database.

[0017] Furthermore, the mobile terminal integrates an intelligent recommendation module, which is used to recommend the best light intensity-color temperature combination data based on historical data and the data transmitted by the underwater sensor module.

[0018] Secondly, embodiments of the present invention provide a night fishing auxiliary control method based on DLP projection vehicle lights. This method is applied to the aforementioned night fishing auxiliary control system based on DLP projection vehicle lights. The method includes: S1: A user inputs a control command on a mobile terminal, the control command including the illumination mode of the DLP projection vehicle lights; S2: The vehicle cabin domain controller controls the DLP projection vehicle lights to project based on the control command; S3: An underwater sensor module collects underwater fish distribution data, water temperature data, and light intensity data, and feeds the data back to the vehicle cabin domain controller; S4: The vehicle cabin domain controller dynamically generates control parameters for the DLP projection vehicle lights based on the data transmitted by the underwater sensor module using a built-in fusion algorithm; S5: The DLP projection vehicle lights optimize one or a combination of the projected light intensity, light spot shape, light direction, and color temperature based on the control parameters of the vehicle cabin domain controller; S6: The mobile terminal acquires and displays the data transmitted by the underwater sensor module in real time.

[0019] Thirdly, embodiments of the present invention also provide an electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program, when executed by the processor, implements the above-described night fishing auxiliary control method based on DLP projection vehicle lights.

[0020] Fourthly, embodiments of the present invention also provide a readable storage medium, which, when the instructions in the storage medium are executed by the processor of an electronic device, enables the electronic device to execute the above-described night fishing auxiliary control method based on DLP projection vehicle lights.

[0021] The beneficial effects of this invention are:

[0022] (1) Intelligent control: Utilizing DLP projection technology and sensor data, the light source is dynamically adjusted to intelligently guide the fish and improve fishing efficiency.

[0023] (2) Remote operation: The mobile APP can remotely control the DLP projection car lights and receive information about underwater fish in real time, improving the convenience of use.

[0024] (3) Highly effective fish attraction: DLP car lights can project light sources of specific wavelengths and optimize the lighting mode, making fish more attractive and increasing the success rate of fishing.

[0025] (4) Eco-friendly: Compared with traditional strong light lighting, this system can automatically adjust the brightness and color of the light source according to the underwater environment, reducing the disturbance to the ecosystem.

[0026] (5) Real-time data feedback: The sensor module can monitor the distribution of fish and the underwater environment in real time and link with the cockpit domain controller to achieve precise control.

[0027] (6) Multi-mode projection: The shape of the light spot can be adjusted according to environmental needs, such as simulating natural lighting such as water waves and moonlight, to improve adaptability to different types of fish. Attached Figure Description

[0028] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0029] Figure 1 This is a schematic diagram of a night fishing auxiliary control system based on DLP projection vehicle lights provided in Embodiment 1 of the present invention.

[0030] Figure 2 This is a flowchart of a night fishing auxiliary control method based on DLP projection vehicle lights provided in Embodiment 2 of the present invention.

[0031] Figure 3 This is a partial block diagram of the electronic device provided in Embodiment 3 of the present invention. Detailed Implementation

[0032] Before discussing the exemplary embodiments in more detail, it should be noted that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although the flowcharts describe the operations as sequential processes, many of these operations can be performed in parallel, concurrently, or simultaneously. Furthermore, the order of the operations can be rearranged. The process can be terminated when its operation is completed, but may also have additional steps not included in the figures. The process can correspond to a method, function, procedure, subroutine, subroutine, etc.

[0033] It should be understood that although the terms "first," "second," etc., may be used herein to describe various units, these units should not be limited by these terms. These terms are used merely to distinguish one unit from another. For example, without departing from the scope of the exemplary embodiments, a first unit may be referred to as a second unit, and similarly, a second unit may be referred to as a first unit. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0034] The present invention will now be described in detail with reference to the accompanying drawings. These drawings are simplified schematic diagrams, illustrating only the basic structure of the invention, and therefore only show the components relevant to the invention.

[0035] Example 1

[0036] For ease of understanding, the inventive concept will be described in its entirety before a detailed description of the embodiments of the present invention:

[0037] This application provides a nighttime fishing auxiliary control system and method based on a DLP projection vehicle light. The system includes: a DLP projection vehicle light for projecting light spots according to different environmental needs and controlling the angle, shape, color, and brightness of the light to attract fish; an underwater sensor module, including a sonar, temperature sensor, and light sensor, for detecting underwater environment, fish distribution, and water temperature data, and feeding the data back to the vehicle's cockpit domain controller; the vehicle's cockpit domain controller for receiving control commands from a mobile app, adjusting the projection mode of the DLP projection vehicle light, and processing data from the underwater sensor module to optimize the lighting mode and fish guidance strategy in real time; and a mobile app for user operation, providing control and display functions, remotely controlling the DLP vehicle light, displaying underwater sensor data, receiving real-time feedback from the cockpit domain controller, and providing intelligent recommendation functions. By projecting light from the vehicle light to provide dynamic illumination, the system utilizes the light source to attract fish, helping anglers accurately observe the float and water surface dynamics in nighttime environments while avoiding light pollution interference with their field of vision.

[0038] The specific implementation method is as follows:

[0039] like Figure 1The diagram shown is a schematic diagram of a night fishing auxiliary control system based on DLP projection vehicle lights provided in an embodiment of the present invention.

[0040] As an example, the system includes: a DLP projection headlight 1, a vehicle cabin domain controller 2, an underwater sensor module 3, and a mobile terminal 4; the underwater sensor module 3 is used to collect underwater fish distribution data, water temperature data, and light intensity data, and feed the data back to the vehicle cabin domain controller 2; the vehicle cabin domain controller 2 is used to dynamically generate control parameters for the DLP projection headlight 1 based on the data transmitted by the underwater sensor module 3 according to a built-in fusion algorithm; the DLP projection headlight 1 is used to control one or a combination of the projected light intensity, light spot shape, light direction, and color temperature based on the control parameters of the vehicle cabin domain controller 2; the mobile terminal 4 interacts bidirectionally with the vehicle cabin domain controller 2 to acquire and display the data transmitted by the underwater sensor module 3 in real time; and the mobile terminal 4 is used to send control commands to the vehicle cabin domain controller 2, causing the vehicle cabin domain controller 2 to adjust the lighting mode based on the control commands.

[0041] In some feasible implementations, the underwater sensor module 3 integrates a sonar 300, a temperature sensor 310, and a light sensor 320. The sonar 300 is used to acquire one or a combination of the fish's position, size, swimming direction, and swimming speed. The temperature sensor 310 is used to acquire underwater temperature data. The light sensor 320 is used to acquire underwater light intensity data. Specifically, the sonar detector continuously emits sound waves and receives reflected waves. By analyzing information such as the time and intensity of the reflected waves, it detects the position, number, and movement trend of the fish, and transmits this data to the vehicle cockpit domain controller 2 in real time. The temperature sensor monitors the underwater temperature in real time and sends the temperature data to the vehicle cockpit domain controller 2 in the form of a digital signal. The light sensor continuously senses the underwater light intensity and also feeds the data back to the vehicle cockpit domain controller 2, providing comprehensive data support for the system to dynamically adjust the projection mode.

[0042] In some feasible implementations, the vehicle cockpit domain controller 2 integrates a fusion algorithm, including a density-based DBSCAN clustering algorithm and a Kalman filter, a water temperature-light coupling model, and a light spot shape adjustment strategy. The density-based DBSCAN clustering algorithm and Kalman filter are used to spatially cluster the point cloud data of the fish school based on the received sonar data on the position, size, swimming direction, and swimming speed of the fish school. The water temperature-light coupling model is used to calculate the optimal light wavelength and light intensity based on the underwater temperature data and underwater light data transmitted by the temperature sensor and light sensor. The light spot shape adjustment strategy is used to generate the light spot shape based on the underwater fish school distribution data. Preferably, the density-based DBSCAN clustering algorithm is used to identify effective fish school clusters and obtain the centroid coordinates of the fish school; the Kalman filter is used to predict the movement trajectory of the fish school and obtain the movement speed vector of the fish school. Specifically, the processing of sonar data includes: noise reduction filtering: wavelet transform is used to eliminate water flow disturbance noise; spatial clustering: the DBSCAN algorithm is used to identify effective fish clusters with a minimum density of 5 fish / cubic meter; motion tracking: the movement trajectory of the fish school is predicted using a Kalman filter. After processing the sonar data, the centroid coordinates, movement velocity vector, and cluster density heatmap of the fish school are output.

[0043] In some feasible implementations, control parameters for adjusting the illumination direction of the DLP projection vehicle light are generated based on the centroid coordinates and the fish's movement speed vector. These control parameters include the center coordinates of the light spot and its coverage area. The center coordinates of the light spot are dynamically offset by a preset amount based on the centroid coordinates of the fish. The coverage area of ​​the light spot is positively correlated with the standard deviation of the fish distribution. Specifically, the center coordinates of the light spot can be dynamically offset based on the centroid coordinates of the fish, with a maximum offset of ±2m. The coverage area of ​​the light spot is positively correlated with the standard deviation σ of the fish distribution, such as 4σ.

[0044] In some feasible implementations, the mathematical formula for the water temperature-light coupling model is:

[0045] λ opt (T)=λ base +k·(TT ref ) 2 ;

[0046]

[0047] In the formula, λ opt (T) represents the optimal wavelength, λ base This represents the baseline preferred wavelength of the target fish species, which is pre-calibrated experimentally. T represents the real-time water temperature. ref This represents the reference temperature, taken as 20℃, k represents the fish sensitivity coefficient, and I... compIndicates the output light intensity, I base L represents the reference light intensity. env Indicates ambient light intensity, L threshold Let L represent the interference threshold, Υ, and δ represent the compensation coefficients. Specifically, taking carp as an example, Υ is set to 0.5, δ to 1.2, and L... threshold The value is 50 lux, and k is 0.8 nm / ℃. 2 .

[0048] More specifically, different fish species exhibit significant differences in their spectral sensitivity; for example, carp prefer orange-red light in the 590-620nm range, while bass are sensitive to blue-green light in the 480-520nm range. Furthermore, changes in water temperature alter the metabolic rate of fish, thus affecting their phototactic behavior. Experimental data shows that within the 15-25℃ range, the intensity of the phototactic response is positively correlated with temperature. Therefore, by establishing a water temperature-light coupling model, fish biological characteristics, light propagation attenuation, and environmental disturbances are incorporated into a unified model, achieving precise matching of light parameters with the underwater environment. This provides a scientific and quantitative basis for controlling nighttime fishing.

[0049] In some feasible implementations, the light spot shape adjustment strategy includes: determining the fish school's aggregation state, swimming direction, and swimming speed based on sonar data, and generating a light spot shape adjustment strategy based on the fish school's aggregation state, swimming direction, and swimming speed; and / or formulating a corresponding light spot shape adjustment strategy by combining underwater temperature data and underwater light intensity data; and / or formulating a corresponding light spot shape adjustment strategy based on different fish's preferences for light and behavioral habits. Specifically, the aggregation state, swimming direction, and speed of the fish school are determined based on sonar data. If the fish school is dispersed, the light spot shape can be adjusted to a large-area scattering pattern to cover more areas; if the fish school swims linearly, the light spot can be adjusted to a long strip shape. A comprehensive analysis is also conducted using water temperature and light intensity data. When the water temperature is low, some fish may tend to gather in warmer light areas, so the light spot can be adjusted to a more concentrated circle to attract the fish school; when the underwater light is strong, the brightness of the light spot can be reduced and adjusted to a softer shape to avoid startling the fish school. Based on the light preferences and behavioral habits of different fish species, corresponding light spot shape strategies are formulated. For example, bright and regularly shaped light spots can be used for fish that are strongly phototactic, while soft and irregular light spots are used for fish that are more sensitive to light.

[0050] In some feasible implementations, the database in the mobile terminal stores target fish species and their corresponding spectral preferences, suitable water temperature ranges, and phototactic behavior patterns. The mobile terminal is also used to directly generate control commands based on the target fish species input by the user, controlling the DLP projection headlights to project using the illumination parameters stored in the database. Specifically, in the initial stage, the user can manually input the actual fishing situation, such as the target fish species, on the APP. This will directly generate the spectral preferences, suitable water temperature ranges, and phototactic behavior patterns of the target fish species. The vehicle cabin domain controller 2 controls the DLP projection headlights 1 based on these commands. However, since the fish are moving, the control commands of the vehicle cabin domain controller 2 need to be continuously optimized in real time using data collected by the underwater sensor module to make its control of the DLP projection headlights 1 more intelligent.

[0051] In some feasible implementations, the mobile terminal 4 integrates an intelligent recommendation module, which is used to recommend the best light intensity-color temperature combination data based on historical data and the data transmitted by the underwater sensor module.

[0052] In some feasible implementations, the different functional modules of the system are summarized as follows:

[0053] Mobile App (Mobile Terminal) 4: After opening the mobile app, users can see various lighting mode options on the interface, such as a strong light mode to initially attract fish, and a soft light mode to simulate natural moonlight to avoid disturbing the fish. Users select the appropriate lighting mode based on the actual fishing scenario, and the app sends control commands to the vehicle's cockpit domain controller. Simultaneously, the app receives underwater sensor data from the cockpit domain controller in real time, displaying fish distribution in charts or maps to help users understand the fish's location. For example, when sonar detects fish gathering in a certain area, the app will highlight that area on the interface and provide suggestions based on sensor data, such as adjusting the lighting color to blue to attract specific fish species.

[0054] The vehicle's cockpit domain controller 2, as the core computing and control unit of the system, immediately parses user commands upon receipt and controls the DLP projection headlights to switch to the corresponding projection mode based on the command content. When processing data from the underwater sensor module, the cockpit domain controller uses built-in data analysis algorithms to analyze information such as the location and movement trends of fish schools in real time. For example, when the temperature sensor detects low water temperature and the sonar detects a small range of fish activity, the cockpit domain controller determines that the fish activity is low and automatically adjusts the light intensity and color of the DLP projection headlights, using a warm color tone and increasing the light intensity to attract fish. At the same time, the cockpit domain controller synchronously sends the processed fish information and system status data to the mobile APP.

[0055] DLP Projection Car Light 1: Upon receiving control signals from the cockpit domain controller 2, it uses high-precision DLP projection technology to project light of a specific wavelength onto the water surface. Based on sensor data and control commands, it dynamically adjusts the shape of the light spot, such as making it circular to cover areas where fish congregate, or making it elongated to guide fish towards the fishing spot; it also adjusts the intensity of the light spot according to the distance and activity level of the fish; and it adjusts the color of the light spot, switching according to the color preferences of different fish species. Furthermore, it can project simulated ripples, moonlight, and other effects to make the lighting more natural and enhance its attractiveness to fish.

[0056] Underwater sensor module 3: The sonar detector continuously emits sound waves and receives reflected waves. By analyzing information such as the time and intensity of the reflected waves, it detects the location, number, and movement trends of fish schools, and transmits this data to the cockpit domain controller in real time. The temperature sensor monitors the underwater temperature in real time and sends the temperature data to the cockpit domain controller in the form of a digital signal. The light sensor continuously senses the underwater light intensity and also feeds the data back to the cockpit domain controller, providing comprehensive data support for the system to dynamically adjust the projection mode.

[0057] In the above embodiments, the fusion of DLP projection technology and sensor data enables dynamic adjustment of the light source, which can intelligently guide fish schools according to different underwater environments and fish conditions, effectively improving fishing efficiency. Through a mobile APP, users can remotely control the DLP projection car lights without operating them inside the car, greatly improving ease of use. Meanwhile, the system receives real-time information about underwater fish schools, allowing users to monitor the fishing situation and make more informed decisions. The DLP headlights project specific wavelengths of light and optimize lighting modes, adjusting the conditions to best attract target fish based on their habits and light preferences, thus increasing the success rate of fishing. Compared to traditional strong lighting methods, this system automatically adjusts the brightness and color of the light source according to the underwater environment, avoiding excessive lighting that could disrupt the aquatic ecosystem and protecting the ecological balance of the water. The sensor module monitors fish distribution and the underwater environment in real time and links with the cockpit domain controller, enabling precise control based on real-time data to ensure optimal lighting effects. The system can flexibly adjust the light spot shape according to different environmental needs and fishing scenarios, such as simulating water ripples or moonlight, improving adaptability to different fish species and meeting diverse fishing requirements.

[0058] It is worth mentioning that all modules involved in this embodiment are logical units. In practical applications, a logical unit can be a physical unit, a part of a physical unit, or a combination of multiple physical units. Furthermore, to highlight the innovative aspects of this invention, this embodiment does not introduce units that are not closely related to solving the technical problem proposed by this invention; however, this does not mean that other units are absent from this embodiment.

[0059] Example 2

[0060] Please see Figure 2 This embodiment provides a flowchart of a night fishing auxiliary control method based on DLP projection vehicle lights.

[0061] As an example, the method is implemented using the aforementioned night fishing auxiliary control system based on DLP projection vehicle lights, and the method includes:

[0062] S1: The user inputs control commands on the mobile terminal, the control commands including the lighting mode of the DLP projection vehicle lights.

[0063] S2: The vehicle cockpit domain controller controls the DLP projection headlights to project based on the control commands.

[0064] S3: The underwater sensor module collects data on the distribution of underwater fish, water temperature, and light intensity, and feeds the data back to the vehicle's cabin domain controller.

[0065] S4: The vehicle cockpit domain controller dynamically generates the control parameters of the DLP projection headlights based on the data transmitted by the underwater sensor module and according to the built-in fusion algorithm.

[0066] S5: The DLP projection headlights optimize one or a combination of the projected light intensity, light spot shape, light direction, and color temperature based on the control parameters of the vehicle cockpit domain controller.

[0067] S6: The mobile terminal acquires and displays the data transmitted by the underwater sensor module in real time.

[0068] It is not difficult to see that this embodiment is a method embodiment corresponding to the first embodiment, and this embodiment can be implemented in conjunction with the first embodiment. The relevant technical details mentioned in the first embodiment are still valid in this embodiment, and will not be repeated here to reduce repetition. Accordingly, the relevant technical details mentioned in this embodiment can also be applied to the first embodiment.

[0069] Example 3

[0070] Please see Figure 3The present invention also provides an electronic device, including: a memory and a processor; the memory stores at least one program instruction; the processor loads and executes the at least one program instruction to implement the night fishing auxiliary control method based on DLP projection vehicle lights provided in Embodiment 2.

[0071] The memory 702 and processor 701 are connected via a bus, which may include any number of interconnecting buses and bridges, connecting various circuits of one or more processors 701 and memory 702 together. The bus may also connect various other circuits, such as peripheral devices, voltage regulators, and power management circuits, which are well known in the art and therefore will not be described further herein. A bus interface provides an interface between the bus and the transceiver. The transceiver may be a single element or multiple elements, such as multiple receivers and transmitters, providing a unit for communicating with various other devices over a transmission medium. Data processed by processor 701 is transmitted over a wireless medium via an antenna, which further receives data and transmits it to processor 701.

[0072] Processor 701 is responsible for managing the bus and general processing, and can also provide various functions, including timing, peripheral interfaces, voltage regulation, power management, and other control functions. Memory 702 can be used to store data used by processor 701 during operation.

[0073] Example 4

[0074] This invention also proposes a storage medium storing a night fishing auxiliary control method based on DLP projection vehicle lights. When the night fishing auxiliary control program based on DLP projection vehicle lights is executed by a processor, it implements the steps of the night fishing auxiliary control method based on DLP projection vehicle lights as described above. Since this storage medium adopts all the technical solutions of all the above embodiments, it has at least all the beneficial effects brought by the technical solutions of the above embodiments, which will not be repeated here.

[0075] The above descriptions are merely embodiments of the present invention. Commonly known structures and characteristics are not described in detail here. Those skilled in the art are aware of all common technical knowledge in the field prior to the application date or priority date, are aware of all existing technologies in that field, and have the ability to apply conventional experimental methods prior to that date. Those skilled in the art can, based on the guidance provided in this application, improve and implement this solution in combination with their own capabilities. Some typical known structures or methods should not be obstacles for those skilled in the art to implement this application. It should be noted that those skilled in the art can make several modifications and improvements without departing from the structure of the present invention. These should also be considered within the scope of protection of the present invention, and will not affect the effectiveness of the implementation of the present invention or the practicality of the patent. The scope of protection claimed in this application should be determined by the content of its claims, and the specific embodiments described in the specification can be used to interpret the content of the claims.

Claims

1. A nighttime fishing auxiliary control system based on DLP projection vehicle lights, characterized in that, The control system includes: DLP projection vehicle lights, vehicle cockpit domain controller, underwater sensor module and mobile terminal; The underwater sensor module is used to collect data on the distribution of underwater fish, water temperature, and light intensity, and feed the data back to the vehicle's cockpit domain controller. The vehicle cockpit domain controller is used to dynamically generate control parameters for the DLP projection headlights based on the data transmitted by the underwater sensor module and according to the built-in fusion algorithm. The DLP projection headlights are used to control one or a combination of the projected light intensity, light spot shape, light direction, and color temperature based on the control parameters of the vehicle cockpit domain controller. The mobile terminal interacts bidirectionally with the vehicle cockpit domain controller to acquire and display data transmitted by the underwater sensor module in real time; and the mobile terminal sends control commands to the vehicle cockpit domain controller to adjust the lighting mode based on the control commands. The vehicle cockpit domain controller integrates a fusion algorithm, including a density-based DBSCAN clustering algorithm and a Kalman filter, a water temperature-light coupling model, and a light spot shape adjustment strategy. The density-based DBSCAN clustering algorithm and Kalman filter are used to spatially cluster the point cloud data of the fish school based on the received sonar data on the position, size, swimming direction, and swimming speed of the fish school. The water temperature-light coupling model is used to calculate the optimal light wavelength and light intensity based on the underwater temperature data and underwater light data transmitted by the temperature sensor and the light sensor. The light spot shape adjustment strategy is used to generate the light spot shape based on the underwater fish school distribution data. The mathematical formula for the water temperature-light coupling model is: ； ； In the formula, Indicates the optimal wavelength. This indicates the basic preferred wavelength of the target fish species, which is pre-calibrated experimentally. Indicates real-time water temperature. This represents the reference temperature, with a value of 20℃, and k represents the fish sensitivity coefficient. Indicates the output light intensity. Indicates the reference light intensity. Indicates ambient light intensity. Indicates the interference threshold. , This represents the compensation coefficient.

2. The night fishing auxiliary control system based on DLP projection vehicle lights according to claim 1, characterized in that, The underwater sensor module integrates a sonar, a temperature sensor, and a light sensor. The sonar is used to obtain one or a combination of the fish's location, size, swimming direction, and swimming speed. The temperature sensor is used to acquire underwater temperature data; The light sensor is used to acquire underwater light intensity data.

3. The night fishing auxiliary control system based on DLP projection vehicle lights according to claim 1, characterized in that, The density-based DBSCAN clustering algorithm is used to identify effective fish clusters and obtain the centroid coordinates of the fish groups. The Kalman filter is used to predict the movement trajectory of the fish school and obtain the movement speed vector of the fish school.

4. The night fishing auxiliary control system based on DLP projection vehicle lights according to claim 3, characterized in that, Based on the centroid coordinates of the fish school and the moving speed vector of the fish school, control parameters for adjusting the illumination direction of the DLP projection vehicle light are generated. The control parameters for the illumination direction include the center coordinates of the light spot and the coverage area of ​​the light spot. The center coordinates of the light spot are dynamically offset by a preset amount based on the centroid coordinates of the fish swarm. The coverage area of ​​the light spot is positively correlated with the standard deviation of the fish population distribution.

5. The night fishing auxiliary control system based on DLP projection vehicle lights according to claim 1, characterized in that, The light spot shape adjustment strategy includes: Based on sonar data, the fish's aggregation state, swimming direction, and swimming speed are determined; and an adjustment strategy for the shape of the light spot is generated based on the fish's aggregation state, swimming direction, and swimming speed; and / or Develop corresponding light spot shape adjustment strategies by combining underwater temperature data and underwater light intensity data; and / or Based on the light preferences and behavioral habits of different fish species, corresponding strategies for adjusting the shape of light spots were developed.

6. The night fishing auxiliary control system based on DLP projection vehicle lights according to claim 5, characterized in that, The database in the mobile terminal stores target fish species and their corresponding spectral preferences, suitable water temperature ranges, and phototactic behavior patterns. The mobile terminal is also used to directly generate control commands based on the target fish input by the user, and control the DLP projection vehicle lights to project using the illumination parameters stored in the database.

7. The night fishing auxiliary control system based on DLP projection vehicle lights according to claim 1, characterized in that, The mobile terminal integrates an intelligent recommendation module, which is used to recommend the best light intensity-color temperature combination data based on historical data and the data transmitted by the underwater sensor module.

8. A night fishing auxiliary control method based on DLP projection vehicle lights, the method being applied to the night fishing auxiliary control system based on DLP projection vehicle lights according to any one of claims 1-7, the method comprising: S1: The user inputs control commands on the mobile terminal, the control commands including the lighting mode of the DLP projection vehicle lights; S2: The vehicle cockpit domain controller controls the DLP projection headlights to project based on the control commands; S3: The underwater sensor module collects data on the distribution of underwater fish, water temperature, and light intensity, and feeds the data back to the vehicle's cockpit domain controller. S4: The vehicle cockpit domain controller dynamically generates the control parameters of the DLP projection headlights based on the data transmitted by the underwater sensor module and according to the built-in fusion algorithm. S5: The DLP projection vehicle light optimizes one or a combination of the projected light intensity, light spot shape, light direction and color temperature based on the control parameters of the vehicle cockpit domain controller; S6: The mobile terminal acquires and displays the data transmitted by the underwater sensor module in real time.

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