Night fishing auxiliary control system and method based on DLP projection vehicle lamp
By using an intelligent auxiliary control system based on DLP projection lights in night fishing, the problems of insufficient light and difficulty in fishing placement in night fishing are solved, intelligent light source adjustment and real-time data feedback are realized, and fishing efficiency and success rate are improved.
Patent Information
- Application Number
- CN202510290530.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-12
- Publication Date
- 2025-05-13
- Estimated Expiration
- 2045-03-12
AI Technical Summary
Due to insufficient light during night fishing, it is difficult for anglers to observe the float and the positioning of fish, and traditional lights may disturb the fish and reduce fishing efficiency.
A night fishing auxiliary control system based on DLP projection vehicle lights is adopted, which includes DLP projection vehicle lights, a vehicle cockpit domain controller, an underwater sensor module and a mobile terminal. Through underwater sensors, fish population distribution, water temperature and light data are collected. The vehicle cockpit domain controller uses a fusion algorithm to dynamically generate control parameters of DLP projection vehicle lights, realizing intelligent adjustment of light intensity, spot shape, light direction and color temperature.
Intelligent light source adjustment is realized, which can intelligently guide fishing schools according to the underwater environment and fishing state, improve fishing efficiency, reduce interference to the ecosystem, and provide real-time data feedback to improve fishing success rate.
Smart Images

Figure CN119997304A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of vehicle-mounted lighting and intelligent control, and in particular to a nighttime fishing auxiliary control system and method based on a DLP projection vehicle lamp. Background Art
[0002] Night fishing is a common fishing method, but due to insufficient light, anglers often face problems such as difficulty observing the float and locating the fish. Traditional night fishing lights are mostly fixed lighting, lack intelligent adjustment capabilities, and may disturb the fish, reducing fishing efficiency. In addition, the underwater environment is complex and the response of fish to light is dynamic, requiring an intelligent adjustment method to optimize the light source.
[0003] DLP projection technology has been widely used in car lighting systems. It has the characteristics of high-precision light control and can dynamically adjust the light source shape, brightness and direction. However, there is currently no system that uses DLP projection car lights for night fishing. Therefore, it is urgent to develop a night fishing assistance system based on DLP projection car lights to intelligently control the light source to guide fish and provide real-time data feedback.
[0004] The above problems need to be solved urgently. Summary of the invention
[0005] The purpose of the present 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 lights.
[0006] On the one hand, an embodiment of the present invention provides a night fishing auxiliary control system based on DLP projection lights, the control system comprising: DLP projection lights, a vehicle cockpit domain controller, an underwater sensor module and a mobile terminal; the underwater sensor module is used to collect underwater fish distribution data, water temperature data and light intensity data, and feed the data back to the vehicle cockpit domain controller; the vehicle cockpit domain controller is used to dynamically generate control parameters of the DLP projection lights according to a built-in fusion algorithm based on the data transmitted by the underwater sensor module; the DLP projection lights are used to control one or a combination of 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 obtain and display the data transmitted by the underwater sensor module in real time; and the mobile terminal is used to send control instructions to the vehicle cockpit domain controller so that the vehicle cockpit domain controller adjusts the lighting mode based on the control instructions.
[0007] Furthermore, 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 position, size, swimming direction and swimming speed of the fish school; the temperature sensor is used to obtain underwater temperature data; and the light sensor is used to obtain underwater light intensity data.
[0008] Furthermore, a fusion algorithm is integrated in the vehicle cockpit domain controller, including a density-based DBSCAN clustering algorithm and a Kalman filter, a water temperature-light coupling model and a spot shape adjustment strategy; the density-based DBSCAN clustering algorithm and the Kalman filter are used to spatially cluster the point cloud data of the fish school based on the position, size, swimming direction and swimming speed data of the fish school transmitted by the received sonar; 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 spot shape adjustment strategy is used to generate the spot shape based on the underwater fish school 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 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.
[0010] Furthermore, control parameters for adjusting the illumination direction of the DLP projection vehicle light are generated based on the center coordinates of the fish school and the moving speed vector of the fish school, and the control parameters of the illumination direction include the center coordinates of the light spot and the coverage range of the light spot; the center coordinates of the light spot are dynamically offset by a preset offset according to the center coordinates of the fish school; and the coverage range of the light spot is positively correlated with the standard deviation of the fish school distribution.
[0011] Furthermore, the mathematical formula of the water temperature-light coupling model is:
[0012] λ opt (T) = λ base +k·(TT ref ) 2 ;
[0013]
[0014] In the formula, λ opt (T) represents the optimal wavelength, λ base represents the basic preferred wavelength of the target fish, which is pre-calibrated through experiments, T represents the real-time water temperature, and T ref represents the reference temperature, which is 20℃, k represents the fish sensitivity coefficient, I comp Indicates the output light intensity, I base Indicates the reference light intensity, L env Indicates the ambient light intensity, Lthreshold represents the interference threshold, Υ, δ represents the compensation coefficient.
[0015] Furthermore, the light spot shape adjustment strategy includes: judging the aggregation state, swimming direction and swimming speed of the fish school according to the sonar data, and generating a light spot shape adjustment strategy based on the aggregation state, swimming direction and swimming speed of the fish school; and / or formulating a corresponding light spot shape adjustment strategy in combination with underwater temperature data and underwater light intensity data; and / or formulating a corresponding light spot shape adjustment strategy based on the preferences and behavioral habits of different fish for light.
[0016] Furthermore, the database in the mobile terminal stores target fish and the spectral preference, suitable water temperature range and phototropism behavior pattern corresponding to the target fish; the mobile terminal is also used to directly generate control instructions based on the target fish input by the user, and control the DLP projection car light to project with the lighting parameters stored in the database.
[0017] Furthermore, an intelligent recommendation module is integrated in the mobile terminal, and the intelligent recommendation module is used to recommend optimal light intensity-color temperature combination data based on historical data based on the data transmitted by the underwater sensor module.
[0018] In the second aspect, an embodiment of the present invention provides a night fishing auxiliary control method based on DLP projection lights, and the method is applied to the above-mentioned night fishing auxiliary control system based on DLP projection lights, and the method includes: S1: the user inputs a control instruction in the mobile terminal, and the control instruction includes the lighting mode of the DLP projection lights; S2: the vehicle cabin domain controller controls the DLP projection lights to project based on the control instruction; S3: 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; S4: the vehicle cabin domain controller dynamically generates the control parameters of the DLP projection lights based on the data transmitted by the underwater sensor module according to the built-in fusion algorithm; S5: the DLP projection lights optimize the projected light intensity, spot shape, light direction and color temperature or one or a combination thereof based on the control parameters of the vehicle cabin domain controller; S6: the mobile terminal obtains the data transmitted by the underwater sensor module in real time and displays it.
[0019] In a third aspect, an embodiment of the present invention further provides an electronic device, comprising: 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-mentioned night fishing auxiliary control method based on DLP projection car lights.
[0020] In a fourth aspect, an embodiment of the present invention further provides a readable storage medium, which, when the instructions in the storage medium are executed by a processor of an electronic device, enables the electronic device to execute the above-mentioned night fishing auxiliary control method based on DLP projection car lights.
[0021] The beneficial effects of the present invention are:
[0022] (1) Intelligent control: Utilize DLP projection technology and sensor data to dynamically adjust the light source, intelligently guide fish schools, and improve fishing efficiency.
[0023] (2) Remote operation: The mobile phone APP can remotely control the DLP projection lights and receive real-time underwater fish information, improving the convenience of use.
[0024] (3) Efficient fish attraction: DLP headlights can project light of a specific wavelength and optimize the lighting pattern, making fish more easily attracted and increasing the success rate of fishing.
[0025] (4) Eco-friendly: Compared with traditional strong light lighting methods, this system can automatically adjust the brightness and color of the light source according to the underwater environment, reducing interference with 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 work together with the cockpit domain controller to achieve precise control.
[0027] (6) Multi-mode projection: The light spot shape can be adjusted according to environmental requirements, such as simulating natural lighting such as water waves and moonlight, to improve adaptability to different types of fish. BRIEF DESCRIPTION OF THE DRAWINGS
[0028] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.
[0029] Figure 1 It is a schematic diagram of the structure of a night fishing auxiliary control system based on DLP projection lights provided in Example 1 of the present invention.
[0030] Figure 2 This is a flow chart of a night fishing auxiliary control method based on DLP projection lights provided in Example 2 of the present invention.
[0031] Figure 3 This is a partial block diagram of an electronic device provided in Embodiment 3 of the present invention. DETAILED DESCRIPTION
[0032] It should be mentioned before discussing the exemplary embodiments in more detail that some exemplary embodiments are described as processes or methods depicted as flow charts. Although the flow charts describe the operations as sequential processes, many of the operations therein can be implemented in parallel, concurrently or simultaneously. In addition, the order of the operations can be rearranged. The process can be terminated when its operation is completed, but can also have additional steps not included in the accompanying drawings. The process can correspond to a method, function, procedure, subroutine, subprogram, 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 only to distinguish one unit from another unit. For example, without departing from the scope of the exemplary embodiments, the first unit may be referred to as the second unit, and similarly the second unit may be referred to as the first unit. The term "and / or" used herein includes any and all combinations of one or more of the listed associated items.
[0034] The present invention will now be described in detail with reference to the accompanying drawings. This figure is a simplified schematic diagram, which only illustrates the basic structure of the present invention in a schematic manner, and therefore only shows the components related to the present invention.
[0035] Example 1
[0036] For ease of understanding, the inventive concept is generally described below before describing the embodiments of the present invention in detail:
[0037] The present application provides a night fishing auxiliary control system and method based on DLP projection lights, the system includes: DLP projection lights, which are used to project light spots according to different environmental requirements, and control the angle, shape, color and brightness of the light to attract fish; underwater sensor modules, including sonar, temperature sensor and light sensor, which are used to detect underwater environment, fish distribution and water temperature and other data, and feed the data back to the vehicle cockpit domain controller; the vehicle cockpit domain controller is used to receive control instructions from mobile phone APP, adjust the projection mode of DLP projection lights, and process the data of underwater sensor modules to optimize the lighting mode and fish guiding strategy in real time; mobile phone APP is used for user operation, provides control and display functions, remotely controls DLP lights, displays underwater sensor data, and receives real-time feedback from the cockpit domain controller to provide intelligent recommendation functions. Dynamic lighting is provided by projecting light sources through lights, and fish are attracted by adjusting light sources, helping anglers to accurately observe the floating and water surface dynamics in night environments, while avoiding light pollution from interfering with the field of vision.
[0038] The specific implementation is as follows:
[0039] like Figure 1As shown, it is a schematic diagram of the structure of a night fishing auxiliary control system based on DLP projection lights provided by an embodiment of the present invention.
[0040] As an example, the system includes: a DLP projection headlight 1, a vehicle cockpit 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 cockpit domain controller 2; the vehicle cockpit domain controller 2 is used to dynamically generate control parameters of the DLP projection headlight 1 according to a built-in fusion algorithm based on the data transmitted by the underwater sensor module 3; the DLP projection headlight 1 is used to control one or a combination of projected light intensity, spot shape, light direction and color temperature based on the control parameters of the vehicle cockpit domain controller 2; the mobile terminal 4 interacts bidirectionally with the vehicle cockpit domain controller 2 to obtain and display the data transmitted by the underwater sensor module 3 in real time; and the mobile terminal 4 is used to send control instructions to the vehicle cockpit domain controller 2, so that the vehicle cockpit domain controller 2 adjusts the lighting mode based on the control instructions.
[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 obtain one or a combination of the position, size, swimming direction, and swimming speed of the fish school; the temperature sensor 310 is used to obtain underwater temperature data; and the light sensor 320 is used to obtain underwater light intensity data. Specifically, the sonar detector continuously emits sound waves and receives reflected waves, and detects the position, number, and movement trend of the fish school by analyzing the time, intensity, and other information of the reflected waves, and transmits these data to the vehicle cabin domain controller 2 in real time. The temperature sensor monitors the underwater temperature in real time and sends the temperature data to the vehicle cabin domain controller 2 in the form of a digital signal. The light sensor continuously senses the underwater light intensity and also feeds back the data to the vehicle cabin 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 is integrated with 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 the Kalman filter are used to spatially cluster the point cloud data of the fish school based on the position, size, swimming direction, and swimming speed data of the fish school transmitted by the received sonar; 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 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 velocity vector of the fish school. Specifically, the processing of sonar data includes: noise reduction and filtering: wavelet transform is used to eliminate water disturbance noise; spatial clustering: DBSCAN algorithm is used to identify effective fish clusters, with a minimum density of 5 fish per cubic meter; motion tracking: Kalman filter is used to predict the movement trajectory of fish schools. After processing the sonar data, the coordinates of the fish school's centroid, the moving speed vector and the cluster density heat map 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 of the fish school and the moving speed vector of the fish school, and the illumination direction control parameters include the center coordinates of the light spot and the coverage of the light spot; the center coordinates of the light spot are dynamically offset by a preset offset according to the centroid coordinates of the fish school; the coverage of the light spot is positively correlated with the standard deviation of the fish school distribution. Specifically, the center coordinates of the light spot can be dynamically offset according to the centroid coordinates of the fish school, with a maximum offset of ±2m, and the coverage of the light spot is positively correlated with the standard deviation σ of the fish school distribution, such as 4σ.
[0044] In some feasible implementations, the mathematical formula of 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 represents the basic preferred wavelength of the target fish, which is pre-calibrated through experiments, T represents the real-time water temperature, and T ref represents the reference temperature, which is 20℃, k represents the fish sensitivity coefficient, I compIndicates the output light intensity, I base Indicates the reference light intensity, L env Indicates the ambient light intensity, L threshold represents the interference threshold, Υ, δ represents the compensation coefficient. Specifically, taking carp as an example, Υ takes the value of 0.5, δ takes the value of 1.2, and L threshold The value is 50lux, and the k value is 0.8nm / ℃ 2 .
[0048] More specifically, different fish have significant differences in spectral sensitivity, such as carp preferring 590-620nm orange-red light, and perch being sensitive to 480-520nm blue-green light. In addition, changes in water temperature will change the metabolic rate of fish, thereby affecting their phototaxis behavior. For example, experimental data show that within the range of 15-25℃, the intensity of phototaxis response is positively correlated with temperature. Therefore, by establishing a water temperature-light coupling model, the biological characteristics of fish, light propagation attenuation and environmental interference are incorporated into a unified model, achieving precise matching of light parameters with the underwater environment, and providing a scientific and quantitative control basis for night fishing.
[0049] In some feasible embodiments, the light spot shape adjustment strategy includes: judging the aggregation state, swimming direction and swimming speed of the fish school according to the sonar data, and generating the light spot shape adjustment strategy based on the aggregation state, swimming direction and swimming speed of the fish school; and / or formulating the corresponding light spot shape adjustment strategy in combination with the underwater temperature data and the underwater light intensity data; and / or formulating the corresponding light spot shape adjustment strategy based on the preferences and behavioral habits of different fish for light. Specifically, judging the aggregation state, swimming direction and speed of the fish school according to the sonar data. If the fish school is scattered, the light spot shape can be adjusted to a large area of scattering to cover more areas; if the fish school swims linearly, the light spot can be adjusted to a long strip. Combined with the water temperature and light intensity data for comprehensive analysis. When the water temperature is low, some fish may be more inclined to gather in areas with warm light, and the light spot can be adjusted to a more concentrated circle to attract the fish school; when the underwater light is strong, the light spot brightness can be reduced and adjusted to a softer shape to avoid scaring the fish school. Based on the light preferences and behavioral habits of different fish, corresponding light spot shape strategies are formulated. For example, for fish with strong phototropism, bright and regularly shaped light spots can be used; for fish that are more sensitive to light, soft and irregular light spots can be used.
[0050] In some feasible implementations, the database in the mobile terminal stores target fish and the spectral preference, suitable water temperature range and phototropism behavior pattern corresponding to the target fish; the mobile terminal is also used to directly generate control instructions based on the target fish input by the user, and control the DLP projection lamp to project with the lighting parameters stored in the database. Specifically, in the initial stage, the user can manually input the actual fishing situation on the APP, such as the target fish, and the spectral preference, suitable water temperature range and phototropism behavior pattern of the target fish will be directly generated. The vehicle cabin domain controller 2 controls the DLP projection lamp 1 based on the instruction. However, since the fish school is swimming, it is necessary to continuously optimize the control instructions of the vehicle cabin domain controller 2 through the data collected by the underwater sensor module in real time, so that its control over the DLP projection lamp 1 is more intelligent.
[0051] In some feasible implementations, the mobile terminal 4 is integrated with an intelligent recommendation module, and the intelligent recommendation module is used to recommend optimal light intensity-color temperature combination data based on historical data based on data transmitted by the underwater sensor module.
[0052] In some feasible implementations, the different functional modules in the system are summarized as follows:
[0053] Mobile APP (mobile terminal) 4: After the user opens the mobile APP, he can see a variety of lighting mode options on the operation interface, such as strong light mode for initial attraction of fish, soft light mode for simulating natural moonlight to avoid disturbing fish, etc. The user selects the appropriate lighting mode according to the actual fishing scene, and the APP sends the control command to the vehicle cockpit domain controller. At the same time, the APP receives underwater sensor data from the cockpit domain controller in real time, and displays the distribution of fish in the form of charts or maps, so that users can understand the location of fish. For example, when the sonar detects that fish gather in a certain area, the APP will highlight the area on the interface and give suggestions based on the sensor data, such as adjusting the light color to blue to attract certain specific fish species.
[0054] Vehicle cockpit domain controller 2: As the core computing and control unit of the system, once receiving the user's command, it will immediately parse the command and control the DLP projection lights to switch to the corresponding projection mode according to the command content. When processing the data of the underwater sensor module, the cockpit domain controller uses the built-in data analysis algorithm to analyze the location, movement trends and other information of the fish school in real time. For example, when the temperature sensor detects that the water temperature is low and the sonar detects that the fish school has a small range of activity, the cockpit domain controller determines that the fish school is less active and automatically adjusts the light intensity and color of the DLP projection lights, using warm colors and enhancing the light intensity to attract fish. At the same time, the cockpit domain controller synchronously sends the processed fish school information and system status data to the mobile phone APP.
[0055] DLP projection headlight 1: After receiving the control signal from the cockpit domain controller 2, it irradiates the water surface with a specific wavelength of light through high-precision DLP projection technology. According to the sensor data and control instructions, the shape of the light spot is dynamically adjusted, such as adjusting the light spot to a circular shape to cover the fish gathering area, or adjusting it to a long strip shape to guide the fish to move to the fishing spot; adjusting the intensity of the light spot to adjust the intensity according to the distance and activity of the fish school; adjusting the color of the light spot to switch according to the preference of different fish species for light color. In addition, it can also project simulated ripples, moonlight and other effects to make the lighting more natural and enhance the attraction to fish.
[0056] Underwater sensor module 3: The sonar detector continuously emits sound waves and receives reflected waves. By analyzing the time, intensity and other information of the reflected waves, it detects the location, quantity and movement trend of the fish school, and transmits these 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 embodiment, the fusion of DLP projection technology and sensor data is used to realize dynamic adjustment of the light source, which can intelligently guide the fish school according to different underwater environments and fish school conditions, effectively improving fishing efficiency; through the mobile phone APP, the user can remotely control the DLP projection car lights without operating in the car, which greatly improves the convenience of use. At the same time, it receives underwater fish information in real time, allowing users to grasp the fishing situation at any time and make more reasonable decisions; DLP headlights can project light sources of specific wavelengths and optimize lighting modes. According to the habits and lighting preferences of different fish species, it adjusts the lighting conditions that are most suitable for attracting target fish, making fish more easily attracted and increasing the success rate of fishing; compared with traditional strong light lighting methods, this system can automatically adjust the brightness and color of the light source according to the underwater environment, avoid excessive lighting from interfering with the aquatic ecosystem, and protect the ecological balance of the water area; the sensor module can monitor the distribution of fish and the underwater environment in real time, and realize linkage with the cockpit domain controller, so that the system can be accurately controlled according to real-time data to ensure that the lighting effect is always in the best state; the light spot shape can be flexibly adjusted according to different environmental requirements and fishing scenes, such as simulating natural light such as water waves and moonlight, to improve adaptability to different types of fish and meet diverse fishing needs.
[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. In addition, in order to highlight the innovative part of the present invention, this embodiment does not introduce units that are not closely related to solving the technical problem proposed by the present invention, but this does not mean that there are no other units in this embodiment.
[0059] Example 2
[0060] See also Figure 2 , this embodiment provides a flow chart of a night fishing auxiliary control method based on DLP projection lights.
[0061] As an example, the method is implemented by using the above-mentioned night fishing auxiliary control system based on DLP projection lamp, and the method includes:
[0062] S1: A user inputs a control instruction in the mobile terminal, where the control instruction includes a lighting mode of a DLP projection headlight.
[0063] S2: The vehicle cockpit domain controller controls the DLP projection lamp to perform projection based on the control instruction.
[0064] S3: The underwater sensor module collects underwater fish distribution data, water temperature data and light intensity data, and feeds the data back to the vehicle cockpit domain controller.
[0065] S4: The vehicle cockpit domain controller dynamically generates control parameters of the DLP projection headlights based on the data transmitted by the underwater sensor module according to a built-in fusion algorithm.
[0066] S5: The DLP projection headlight optimizes one or a combination of 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 the data transmitted by the underwater sensor module in real time and displays it.
[0068] It is not difficult to find 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 in order to reduce repetition, they are not repeated here. Accordingly, the relevant technical details mentioned in this embodiment can also be applied in the first embodiment.
[0069] Example 3
[0070] See also Figure 3An embodiment of the present invention further provides an electronic device, comprising: 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 car lights provided in Example 2.
[0071] The memory 702 and the processor 701 are connected in a bus manner, and the bus may include any number of interconnected buses and bridges, and the bus connects various circuits of one or more processors 701 and the memory 702 together. The bus can also connect various other circuits such as peripheral devices, voltage regulators, and power management circuits, which are well known in the art and are therefore not further described herein. The bus interface provides an interface between the bus and the transceiver. The transceiver can be one element or multiple elements, such as multiple receivers and transmitters, providing a unit for communicating with various other devices on a transmission medium. The data processed by the processor 701 is transmitted on a wireless medium via an antenna, and further, the antenna also receives data and transmits the data to the processor 701.
[0072] The 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. The memory 702 can be used to store data used by the processor 701 when performing operations.
[0073] Example 4
[0074] The embodiment of the present invention further provides a storage medium, on which a nighttime fishing auxiliary control method based on a DLP projection lamp is stored, and when the nighttime fishing auxiliary control program based on a DLP projection lamp is executed by a processor, the steps of the nighttime fishing auxiliary control method based on a DLP projection lamp as described above are implemented. Since the 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 described one by one here.
[0075] The above is only an embodiment of the present invention. The common sense such as the known specific structure and characteristics in the scheme is not described in detail here. The ordinary technicians in the relevant field know all the common technical knowledge in the technical field of the invention before the application date or priority date, can know all the existing technologies in the field, and have the ability to apply the conventional experimental means before that date. The ordinary technicians in the relevant field can improve and implement this scheme in combination with their own abilities under the enlightenment given by this application. Some typical known structures or known methods should not become obstacles for ordinary technicians in the relevant field to implement this application. It should be pointed out that for those skilled in the art, without departing from the structure of the present invention, several deformations and improvements can be made, which should also be regarded as the scope of protection of the present invention, which will not affect the effect of the implementation of the present invention and the practicality of the patent. The scope of protection required by this application shall be based on the content of its claims, and the specific implementation methods and other records in the specification can be used to interpret the content of the claims.
Claims
1. A night fishing auxiliary control system based on DLP projection lights, characterized in that: The control system includes: DLP projection lights, a vehicle cockpit domain controller, an underwater sensor module and a mobile terminal; The underwater sensor module is used to collect underwater fish distribution data, water temperature data and light intensity data, and feed the data back to the vehicle cockpit domain controller; The vehicle cockpit domain controller is used to dynamically generate control parameters of the DLP projection lamp based on the data transmitted by the underwater sensor module according to the built-in fusion algorithm; The DLP projection lamp 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 cockpit domain controller; The mobile terminal interacts with the vehicle cockpit domain controller in a two-way manner to obtain and display the data transmitted by the underwater sensor module in real time; and the mobile terminal is used to send control instructions to the vehicle cockpit domain controller, so that the vehicle cockpit domain controller adjusts the lighting mode based on the control instructions.
2. The nighttime fishing auxiliary control system based on DLP projection lights according to claim 1 is characterized in that: The underwater sensor module is integrated with a sonar, a temperature sensor and a light sensor; The sonar is used to obtain one or a combination of the position, size, swimming direction and swimming speed of the school of fish; The temperature sensor is used to obtain underwater temperature data; The light sensor is used to obtain underwater light intensity data.
3. The nighttime fishing auxiliary control system based on DLP projection lamp according to claim 1 is characterized in that: The vehicle cockpit domain controller is integrated with 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 position, size, swimming direction and swimming speed data of the fish school transmitted by the received sonar; 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 a light spot shape based on the underwater fish school distribution data.
4. The nighttime fishing auxiliary control system based on DLP projection lamp according to claim 3 is characterized in that: The density-based DBSCAN clustering algorithm is used to identify valid fish clusters and obtain the centroid coordinates of the fish schools; The Kalman filter is used to predict the movement trajectory of the fish school and obtain the movement speed vector of the fish school.
5. The nighttime fishing auxiliary control system based on DLP projection lamp according to claim 4 is characterized in that: Generate control parameters for adjusting the illumination direction of the DLP projection vehicle light based on the coordinates of the center of mass of the school of fish and the moving speed vector of the school of fish, wherein the control parameters of the illumination direction include the center coordinates of the light spot and the coverage range of the light spot; The center coordinates of the light spot are dynamically offset by a preset offset according to the center of mass coordinates of the school of fish; The coverage of the light spot is positively correlated with the standard deviation of fish distribution.
6. The nighttime fishing auxiliary control system based on DLP projection lamp according to claim 3 is characterized in that: The mathematical formula of the water temperature-light coupling model is: λ opt (T)=λ base +k·(T-T ref ) 2 ; In the formula, λ opt (T) represents the optimal wavelength, λ base represents the basic preferred wavelength of the target fish, which is pre-calibrated through experiments, T represents the real-time water temperature, and T ref represents the reference temperature, which is 20℃, k represents the fish sensitivity coefficient, I comp Indicates the output light intensity, I base Indicates the reference light intensity, L env Indicates the ambient light intensity, L threshold represents the interference threshold, Υ, δ represents the compensation coefficient.
7. The nighttime fishing auxiliary control system based on DLP projection lamp according to claim 3 is characterized in that: The light spot shape adjustment strategy includes: Determining the aggregation state, swimming direction and swimming speed of the school of fish according to the sonar data, and generating an adjustment strategy for the light spot shape based on the aggregation state, swimming direction and swimming speed of the school of fish; and / or Formulate a corresponding light spot shape adjustment strategy based on the underwater temperature data and the underwater light intensity data; and / or Based on the lighting preferences and behavioral habits of different fish species, corresponding light spot shape adjustment strategies are formulated.
8. The nighttime fishing auxiliary control system based on DLP projection lamp according to claim 7 is characterized in that: The database in the mobile terminal stores target fish species and the spectral preference, suitable water temperature range and phototropism behavior pattern corresponding to the target fish species; The mobile terminal is also used to directly generate a control instruction based on the target fish input by the user, and control the DLP projection lamp to perform projection according to the lighting parameters stored in the database.
9. The nighttime fishing auxiliary control system based on DLP projection lamp according to claim 1, characterized in that: The mobile terminal is integrated with an intelligent recommendation module, which is used to recommend optimal light intensity-color temperature combination data based on historical data based on data transmitted by the underwater sensor module.
10. A nighttime fishing auxiliary control method based on a DLP projection lamp, the method being applied to the nighttime fishing auxiliary control system based on a DLP projection lamp as claimed in any one of claims 1 to 9, the method comprising: S1: A user inputs a control instruction in the mobile terminal, where the control instruction includes a lighting mode of a DLP projection headlight; S2: The vehicle cockpit domain controller controls the DLP projection lamp to perform projection based on the control instruction; S3: The underwater sensor module collects underwater fish distribution data, water temperature data, and light intensity data, and feeds the data back to the vehicle cockpit domain controller; S4: The vehicle cockpit domain controller dynamically generates control parameters of the DLP projection lamp based on the data transmitted by the underwater sensor module according to a built-in fusion algorithm; S5: The DLP projection lamp 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 the data transmitted by the underwater sensor module in real time and displays it.
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