Lamplight cover net spectrum dynamic adjustment method and device based on environmental parameter feedback

Abstract

The invention relates to a light cover net spectrum dynamic adjustment method and device based on environmental parameter feedback, and belongs to the technical field of light cover net control. A wireless sensor is arranged in a target water area, and environmental parameter data of the target water area is obtained through a wireless sensor network; initializing a fishing position where the lamplight cover net is located and a spectrum working parameter, obtaining an initial coverage area position of lamplight according to the fishing position where the lamplight cover net is located, the working parameter and the environment parameter data of the target water area, and obtaining sonar data of the target water area at a preset depth position, and according to the initial coverage area position of the lamplight and the sonar data of the target water area at the preset depth position, constructing a lamplight coverage model graph, and according to the lamplight coverage model graph, dynamically adjusting the spectrum working parameters of the current lamplight cover net. By simulating the actual light spectrum intensity in the target area, the control reasonability of the light cover net can be further optimized, and the fishing efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of light hood net control, and particularly to a method and device for dynamically adjusting the spectrum of a light hood net based on environmental parameter feedback. Background Art

[0002] A light hood net is a tool and method for fishing operations by taking advantage of the light-seeking habit of fish. It uses lights to lure fish near the fishing boat, and then uses a pole to open and spread the net, so as to achieve the purpose of fishing for fish. In order to overcome the potential safety hazards existing in the current lighting hood net fishing boats during production operations, a new type of lighting hood net fishing boat has been designed. It includes a hull, fish-attracting lights and a hood net arranged on the hull, and is also equipped with a hood net opening airbag. The airbag is fixed to the hull through a pulling rope, and the hood net at the bottom of the airbag is controlled to sink and lift by a hood net winch on the hull deck. This fishing boat has a novel and reasonable structure and convenient production operation, which not only improves the fishing efficiency, but also greatly improves the overall safety performance of the fishing boat. The light hood net includes a transparent cover, a condenser cover, a projection cover, etc. The transparent cover can provide good light transmittance, making the light brighter, and may help project brighter light into the water during light hood net operations to better attract fish; the condenser cover can concentrate the light and make it brighter, and is suitable for places where a relatively high local brightness is required. It may be used in the light hood net to focus the light on a specific water area to improve the attraction to fish in a specific area; the projection cover can disperse the light to more areas, generating a large amount of light, making the entire area have better brightness. It may be able to expand the light coverage range during light hood net operations and attract more fish to gather. However, the coverage range of the light will be affected by the environment, resulting in the fishing effect of the light hood net not meeting expectations. Summary of the Invention

[0003] The present invention overcomes the deficiencies of the prior art and provides a method and device for dynamically adjusting the spectrum of a light hood net based on environmental parameter feedback.

[0004] To achieve the above object, the technical solution adopted by the present invention is as follows:

[0005] The first aspect of the present invention provides a method for dynamically adjusting the spectrum of a light hood net based on environmental parameter feedback, including the following steps:

[0006] By setting wireless sensors in the target water area, a wireless sensor network is constructed, and environmental parameter data of the target water area is obtained through the wireless sensor network;

[0007] Initialize the fishing position and spectral working parameters where the light hood net is located, and obtain the initial coverage area position of the light according to the fishing position, working parameters of the light hood net and the environmental parameter data of the target water area;

[0008] Obtain sonar data of the target water area at a preset depth position, and construct a light coverage model diagram based on the initial coverage area position of the light and the sonar data of the target water area at the preset depth position;

[0009] Dynamically adjust the spectral working parameters of the current light hood net according to the light coverage model diagram.

[0010] Further, in the method for dynamically adjusting the spectrum of the light hood net based on environmental parameter feedback, a wireless sensor network is constructed by setting wireless sensors in the target water area, specifically including:

[0011] By setting wireless sensors in the target water area, a wireless sensor network is constructed, and the data change fluctuation characteristics of the data collected by each wireless sensor in the wireless sensor network within a preset time are obtained;

[0012] Set a data change fluctuation characteristic threshold, and judge whether the data change fluctuation characteristic of the data collected by the wireless sensor within a preset time is greater than the data change fluctuation characteristic threshold;

[0013] When the data change fluctuation characteristic of the data collected by the wireless sensor within a preset time is greater than the data change fluctuation characteristic threshold, the data collection frequency of the corresponding wireless sensor is increased;

[0014] When the data change fluctuation characteristic of the data collected by the wireless sensor within a preset time is not greater than the data change fluctuation characteristic threshold, the data collection frequency of the corresponding wireless sensor is maintained.

[0015] Further, in the method for dynamically adjusting the spectrum of the light hood net based on environmental parameter feedback, the fishing position and spectral working parameters of the light hood net are initialized, specifically including:

[0016] Obtain image data information of each area in the target water area through remote sensing technology, and obtain preprocessed image data information by filtering and denoising the image data information of each area in the target water area;

[0017] Identify the preprocessed image data information and judge whether there is a target biological species type. When there is a target biological species type, the area where it is located is used as the fishing position of the light hood net;

[0018] Retrieve the spectral type and spectral intensity data range that attract the target biological population type through big data;

[0019] Initialize the fishing position and spectral working parameters of the light hood net according to the spectral type and spectral intensity data range that attract the target biological population type and the fishing position of the light hood net.

[0020] Further, in the method for dynamically adjusting the spectrum of the light hood net based on environmental parameter feedback, obtaining the initial coverage area position of the light according to the fishing position, working parameters of the light hood net, and environmental parameter data of the target water area specifically includes:

[0021] Based on virtual reality technology, perform light simulation layout on the light hood net according to the fishing position and working parameters of the light hood net, and obtain spectral intensity characteristic data of each area position of the light hood net in the target water area;

[0022] Obtain water turbidity data information in the target water area according to the environmental parameter data of the target water area, and obtain the actual spectral intensity characteristic data during operation of each spectral intensity characteristic data under different water turbidity data information through big data;

[0023] Estimate the actual spectral intensity characteristic data of each area position of the light hood net in the target water area according to the actual spectral intensity characteristic data of each spectral intensity characteristic data during operation under different water turbidity data information, the spectral intensity characteristic data of each area position of the light hood net in the target water area, and the water turbidity data information in the target water area;

[0024] Obtain the position nodes within the spectral intensity data range for attracting the target biological population type of the actual spectral intensity characteristic data, count the position nodes within the spectral intensity data range for attracting the target biological population type of the actual spectral intensity characteristic data, and construct the initial coverage area position of the light.

[0025] Further, in the method for dynamically adjusting the spectrum of the light hood net based on environmental parameter feedback, obtain sonar data at a preset depth position in the target water area, and construct a light coverage model diagram according to the initial coverage area position of the light and the sonar data at the preset depth position in the target water area, specifically:

[0026] Obtain sonar data at a preset depth position in the target water area, and obtain sonar image data of the target obstacle according to the sonar data at the preset depth position in the target water area;

[0027] Determine the contour characteristic data of the target obstacle based on the sonar image data of the target obstacle, and construct a three-dimensional model diagram of the target obstacle according to the contour characteristic data of the target obstacle;

[0028] Perform light coverage simulation by combining the geographical location information where the target obstacle is located, the three-dimensional model diagram of the target obstacle, and the initial coverage area position of the light. Through the light coverage simulation, obtain the light coverage model diagram and output the light coverage model diagram.

[0029] Further, in the method for dynamically adjusting the spectrum of the light hood net based on environmental parameter feedback, the spectral working parameters of the current light hood net are dynamically adjusted according to the light coverage model diagram, specifically including:

[0030] Obtain the actual light coverage area according to the light coverage model diagram, set a data threshold for the light coverage area, and determine whether the actual light coverage area is greater than the data threshold of the light coverage area;

[0031] When the actual light coverage area is not greater than the data threshold of the light coverage area, readjust the spectral working parameters of the current light hood net until it is greater than the data threshold of the light coverage area;

[0032] When the actual light coverage area is greater than the data threshold of the light coverage area, keep the spectral working parameters of the current light hood net unchanged.

[0033] The second aspect of the present invention provides a device for dynamically adjusting the spectrum of a light hood net based on environmental parameter feedback, including a memory and a processor. The memory includes a program for the method of dynamically adjusting the spectrum of the light hood net based on environmental parameter feedback. When the program for the method of dynamically adjusting the spectrum of the light hood net based on environmental parameter feedback is executed by the processor, the steps of any one of the methods for dynamically adjusting the spectrum of the light hood net based on environmental parameter feedback are realized.

[0034] The third aspect of the present invention provides a computer-readable storage medium, which includes a program for the method of dynamically adjusting the spectrum of the light hood net based on environmental parameter feedback. When the program for the method of dynamically adjusting the spectrum of the light hood net based on environmental parameter feedback is executed by a processor, the steps of any one of the methods for dynamically adjusting the spectrum of the light hood net based on environmental parameter feedback are realized.

[0035] The present invention solves the defects in the background technology and has the following beneficial effects:

[0036] By setting up wireless sensors in the target water area, constructing a wireless sensor network, obtaining environmental parameter data of the target water area through the wireless sensor network, initializing the fishing position and spectral working parameters of the light hood net, obtaining the initial coverage area position of the light according to the fishing position, working parameters of the light hood net and environmental parameter data of the target water area, further obtaining sonar data of the target water area at a preset depth position, constructing a light coverage model diagram according to the initial coverage area position of the light and the sonar data of the target water area at the preset depth position, and finally dynamically adjusting the spectral working parameters of the current light hood net according to the light coverage model diagram. By simulating the actual light spectral intensity in the target area, the present invention can further optimize the control rationality of the light hood net and improve the fishing efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0038] Figure 1 Shows the overall flowchart of the dynamic adjustment method of the light hood net spectrum based on environmental parameter feedback;

[0039] Figure 2 Shows a partial flowchart of the dynamic adjustment method of the light hood net spectrum based on environmental parameter feedback. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0040] In order to more clearly understand the above objects, features and advantages of the present invention, the present invention will be further described in detail below with reference to the drawings and specific embodiments. It should be noted that, without conflict, the embodiments of the present application and the features in the embodiments can be combined with each other.

[0041] In the following description, many specific details are set forth in order to fully understand the present invention. However, the present invention can also be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited by the specific embodiments disclosed below.

[0042] As Figure 1 shown, the first aspect of the present invention provides a dynamic adjustment method for the light hood net spectrum based on environmental parameter feedback, including the following steps:

[0043] S102: By setting up wireless sensors in the target water area, a wireless sensor network is constructed, and environmental parameter data of the target water area is obtained through the wireless sensor network;

[0044] S104: Initialize the fishing position and spectral working parameters of the light hood net, and obtain the initial coverage area position of the light according to the fishing position, working parameters of the light hood net and the environmental parameter data of the target water area;

[0045] S106: Obtain sonar data at a preset depth position in the target water area, and construct a light coverage model diagram according to the initial coverage area position of the light and the sonar data at the preset depth position in the target water area;

[0046] S108: Dynamically adjust the spectral working parameters of the current light hood net according to the light coverage model diagram.

[0047] It should be noted that by simulating the actual light spectral intensity in the target area, the present invention can further optimize the control rationality of the light hood net and improve the fishing efficiency.

[0048] Furthermore, in the method for dynamically adjusting the light hood net spectrum based on environmental parameter feedback, a wireless sensor network is constructed by setting wireless sensors in the target water area, specifically including:

[0049] By setting wireless sensors in the target water area, a wireless sensor network is constructed, and the data change fluctuation characteristics of the data collected by each wireless sensor in the wireless sensor network within a preset time are obtained;

[0050] A data change fluctuation characteristic threshold is set, and it is judged whether the data change fluctuation characteristic of the data collected by the wireless sensor within a preset time is greater than the data change fluctuation characteristic threshold;

[0051] When the data change fluctuation characteristic of the data collected by the wireless sensor within a preset time is greater than the data change fluctuation characteristic threshold, the data collection frequency of the corresponding wireless sensor is increased;

[0052] When the data change fluctuation characteristic of the data collected by the wireless sensor within a preset time is not greater than the data change fluctuation characteristic threshold, the data collection frequency of the corresponding wireless sensor is maintained.

[0053] It should be noted that when the data change fluctuation characteristic is large, it indicates that the collected data changes greatly, that is, it indicates that the environmental parameters (such as the temperature, salinity, turbidity, etc. of the water body) change sharply. By this method, the data collection of the wireless sensor network can be optimized and the monitoring cost can be reduced.

[0054] Furthermore, in the method for dynamically adjusting the light hood net spectrum based on environmental parameter feedback, the fishing position where the light hood net is located and the spectral working parameters are initialized, specifically including:

[0055] The image data information of each area in the target water area is obtained through remote sensing technology, and the preprocessed image data information is obtained by filtering and denoising the image data information of each area in the target water area;

[0056] By identifying the preprocessed image data information and judging whether there is a target biological species type, when there is a target biological species type, the area where it is located is used as the fishing position where the light hood net is located;

[0057] The spectral type and the spectral intensity data range that attract the target biological population type are retrieved through big data;

[0058] Initialize the fishing position of the light net and the spectral working parameters according to the spectral type that attracts the target biological population type, the spectral intensity data range, and the fishing position where the light net is located.

[0059] It should be noted that the spectral working parameters include the spectral type and the spectral intensity parameter. Through this method, the fishing position of the light net and the spectral working parameters can be initialized according to the spectral type that attracts the target biological population type, the spectral intensity data range, and the fishing position where the light net is located.

[0060] Furthermore, in the method for dynamically adjusting the spectrum of the light net based on environmental parameter feedback, the initial coverage area position of the light is obtained according to the fishing position where the light net is located, the working parameters, and the environmental parameter data of the target water area, specifically including:

[0061] Based on virtual reality technology, perform a lighting simulation layout of the light net according to the fishing position where the light net is located and the working parameters, and obtain the spectral intensity characteristic data of each area position of the light net in the target water area;

[0062] Obtain the water turbidity data information in the target water area according to the environmental parameter data of the target water area, and obtain the actual spectral intensity characteristic data during operation of each spectral intensity characteristic data under different water turbidity data information through big data;

[0063] Estimate the actual spectral intensity characteristic data of each area position of the light net in the target water area according to the actual spectral intensity characteristic data of each spectral intensity characteristic data during operation under different water turbidity data information, the spectral intensity characteristic data of each area position of the light net in the target water area, and the water turbidity data information of the target water area;

[0064] Obtain the position nodes where the actual spectral intensity characteristic data is within the spectral intensity data range that attracts the target biological population type, count the position nodes where the actual spectral intensity characteristic data is within the spectral intensity data range that attracts the target biological population type, and construct the initial coverage area position of the light.

[0065] It should be noted that the more turbid the water in the water area, the more light will be absorbed, resulting in a change in the actual coverage range irradiated by the light net due to different turbidities. Through this method, the position nodes where the actual spectral intensity characteristic data is within the spectral intensity data range that attracts the target biological population type can be simulated and estimated, so as to construct the initial coverage area position of the light and improve the layout rationality of the light net.

[0066] Further, in the method for dynamically adjusting the spectrum of the light hood net based on environmental parameter feedback, sonar data of the target water area at a preset depth position is obtained, and a light coverage model diagram is constructed according to the initial coverage area position of the light and the sonar data of the target water area at the preset depth position. Specifically:

[0067] Obtain sonar data of the target water area at a preset depth position, and obtain sonar image data of the target obstacle according to the sonar data of the target water area at the preset depth position;

[0068] Determine the contour feature data of the target obstacle based on the sonar image data of the target obstacle, and construct a three-dimensional model diagram of the target obstacle according to the contour feature data of the target obstacle;

[0069] Combine the geographical location information where the target obstacle is located, the three-dimensional model diagram of the target obstacle, and the initial coverage area position of the light for light coverage simulation. Through the light coverage simulation, obtain the light coverage model diagram and output the light coverage model diagram.

[0070] It should be noted that by this method, the situation of obstacles (such as reefs, algal organisms, etc.) in the target water area is considered, so as to more accurately estimate the coverage range of the light, construct a light coverage model diagram, and further improve the rationality of the layout.

[0071] Further, in the method for dynamically adjusting the spectrum of the light hood net based on environmental parameter feedback, the spectral working parameters of the current light hood net are dynamically adjusted according to the light coverage model diagram. Specifically, it includes:

[0072] Obtain the actual light coverage area according to the light coverage model diagram, set a data threshold for the light coverage area, and judge whether the actual light coverage area is greater than the data threshold of the light coverage area;

[0073] When the actual light coverage area is not greater than the data threshold of the light coverage area, readjust the spectral working parameters of the current light hood net until it is greater than the data threshold of the light coverage area;

[0074] When the actual light coverage area is greater than the data threshold of the light coverage area, keep the spectral working parameters of the current light hood net unchanged.

[0075] By simulating the actual light spectral intensity in the target area, the present invention can further optimize the control rationality of the light hood net and improve the fishing efficiency.

[0076] In addition, this method further includes:

[0077] Obtain the data of the natural enemy biological types corresponding to the target fishing biological types through big data, and obtain the remote sensing image data information of each fishing position where the light hood net is located within a preset time through remote sensing technology;

[0078] Use AI recognition technology to recognize the remote sensing image data information of each fishing position where the light net is located within a preset time, and determine whether there is data on the natural enemy biological type corresponding to the target fishing biological type in the remote sensing image data information of each fishing position where the light net is located within the preset time;

[0079] When there is data on the natural enemy biological type corresponding to the target fishing biological type in the remote sensing image data information of the fishing position where the light net is located within the preset time, adjust the fishing position where the light net is located until there is no data on the natural enemy biological type corresponding to the target fishing biological type;

[0080] When there is no data on the natural enemy biological type corresponding to the target fishing biological type in the remote sensing image data information of the fishing position where the light net is located within the preset time, keep the fishing position where the light net is located unchanged.

[0081] It should be noted that when there are natural enemies at the fishing position where the light net is located, according to the rules of the food chain, the target fishing organisms will flee or not choose this migration position point, indicating that the fishing position where the light net is located is not an area suitable for the long-term stay of the target organisms. Through this method, the fishing strategy of the light net can be further optimized.

[0082] As Figure 2 shown, the second aspect of the present invention provides a device 4 for dynamically adjusting the spectrum of a light net based on environmental parameter feedback, including a memory 41 and a processor 42. The memory 41 includes a program for dynamically adjusting the spectrum of a light net based on environmental parameter feedback. When the program for dynamically adjusting the spectrum of a light net based on environmental parameter feedback is executed by the processor 42, the following steps are implemented:

[0083] By setting wireless sensors in the target water area, a wireless sensor network is constructed, and environmental parameter data of the target water area is obtained through the wireless sensor network;

[0084] Initialize the fishing position and spectral working parameters of the light net, and obtain the initial coverage area position of the light according to the fishing position, working parameters of the light net, and environmental parameter data of the target water area;

[0085] Obtain sonar data at a preset depth position in the target water area, and construct a light coverage model diagram according to the initial coverage area position of the light and the sonar data at the preset depth position in the target water area;

[0086] Dynamically adjust the spectral working parameters of the current light net according to the light coverage model diagram.

[0087] It should be noted that by simulating the actual light spectral intensity in the target area, the present invention can further optimize the control rationality of the light hood net and improve the fishing efficiency.

[0088] Furthermore, in the light hood net spectral dynamic adjustment device based on environmental parameter feedback, by setting wireless sensors in the target water area to construct a wireless sensor network, it specifically includes:

[0089] By setting wireless sensors in the target water area to construct a wireless sensor network, obtaining the data change fluctuation characteristics of the data collected by each wireless sensor in the wireless sensor network within a preset time;

[0090] Setting a data change fluctuation characteristic threshold, and determining whether the data change fluctuation characteristic of the data collected by the wireless sensor within a preset time is greater than the data change fluctuation characteristic threshold;

[0091] When the data change fluctuation characteristic of the data collected by the wireless sensor within a preset time is greater than the data change fluctuation characteristic threshold, the data collection frequency of the corresponding wireless sensor is increased;

[0092] When the data change fluctuation characteristic of the data collected by the wireless sensor within a preset time is not greater than the data change fluctuation characteristic threshold, the data collection frequency of the corresponding wireless sensor is maintained.

[0093] It should be noted that when the data change fluctuation characteristic is large, it indicates that the collected data changes greatly, that is, it indicates that the environmental parameters (such as the temperature, salinity, turbidity, etc. of the water body) change sharply. By this method, the data collection of the wireless sensor network can be optimized and the monitoring cost can be reduced.

[0094] Furthermore, in the light hood net spectral dynamic adjustment device based on environmental parameter feedback, initializing the fishing position where the light hood net is located and the spectral working parameters, specifically includes:

[0095] Obtaining the image data information of each area in the target water area through remote sensing technology, and through filtering and denoising the image data information of each area in the target water area, obtaining the preprocessed image data information;

[0096] By identifying the preprocessed image data information and determining whether there is a target biological species type, when there is a target biological species type, the area where it is located is used as the fishing position where the light hood net is located;

[0097] Retrieving the spectral type and spectral intensity data range that attract the target biological population type through big data;

[0098] Initialize the fishing position of the light net and the spectral working parameters according to the spectral type for attracting the target biological population type, the spectral intensity data range, and the fishing position where the light net is located.

[0099] It should be noted that the spectral working parameters include the spectral type and the spectral intensity parameter. Through this method, the fishing position of the light net and the spectral working parameters can be initialized according to the spectral type for attracting the target biological population type, the spectral intensity data range, and the fishing position where the light net is located.

[0100] Furthermore, in the device for dynamically adjusting the spectrum of the light net based on environmental parameter feedback, the initial coverage area position of the light is obtained according to the fishing position where the light net is located, the working parameters, and the environmental parameter data of the target water area. Specifically, it includes:

[0101] Based on virtual reality technology, perform a light simulation layout of the light net according to the fishing position where the light net is located and the working parameters, and obtain the spectral intensity characteristic data of each area position of the light net in the target water area;

[0102] Obtain the water turbidity data information in the target water area according to the environmental parameter data of the target water area, and obtain the actual spectral intensity characteristic data during operation of each spectral intensity characteristic data under different water turbidity data information through big data;

[0103] Estimate the actual spectral intensity characteristic data of each area position of the light net in the target water area according to the actual spectral intensity characteristic data of each spectral intensity characteristic data during operation under different water turbidity data information, the spectral intensity characteristic data of each area position of the light net in the target water area, and the water turbidity data information of the target water area;

[0104] Obtain the position nodes where the actual spectral intensity characteristic data is within the spectral intensity data range for attracting the target biological population type, count the position nodes where the actual spectral intensity characteristic data is within the spectral intensity data range for attracting the target biological population type, and construct the initial coverage area position of the light.

[0105] It should be noted that the more turbid the water in the water area, the more light will be absorbed, resulting in a change in the actual coverage range irradiated by the light net due to different turbidities. Through this method, the position nodes where the actual spectral intensity characteristic data is within the spectral intensity data range for attracting the target biological population type can be simulated and estimated, so as to construct the initial coverage area position of the light and improve the layout rationality of the light net.

[0106] Further, in the device for dynamically adjusting the spectrum of the light hood net based on environmental parameter feedback, sonar data of the target water area at a preset depth position is obtained, and a light coverage model diagram is constructed according to the initial coverage area position of the light and the sonar data of the target water area at the preset depth position. Specifically:

[0107] Obtain sonar data of the target water area at a preset depth position, and obtain sonar image data of the target obstacle according to the sonar data of the target water area at the preset depth position;

[0108] Determine the contour feature data of the target obstacle based on the sonar image data of the target obstacle, and construct a three-dimensional model diagram of the target obstacle according to the contour feature data of the target obstacle;

[0109] Combine the geographical location information where the target obstacle is located, the three-dimensional model diagram of the target obstacle, and the initial coverage area position of the light for light coverage simulation. Through the light coverage simulation, obtain the light coverage model diagram and output the light coverage model diagram.

[0110] It should be noted that by this method, the situation of obstacles (such as reefs, algal organisms, etc.) in the target water area is considered, so as to more accurately estimate the coverage range of the light, construct the light coverage model diagram, and further improve the rationality of the layout.

[0111] Further, in the device for dynamically adjusting the spectrum of the light hood net based on environmental parameter feedback, the spectral working parameters of the current light hood net are dynamically adjusted according to the light coverage model diagram. Specifically, it includes:

[0112] Obtain the actual light coverage area according to the light coverage model diagram, set a data threshold for the light coverage area, and judge whether the actual light coverage area is greater than the data threshold of the light coverage area;

[0113] When the actual light coverage area is not greater than the data threshold of the light coverage area, readjust the spectral working parameters of the current light hood net until it is greater than the data threshold of the light coverage area;

[0114] When the actual light coverage area is greater than the data threshold of the light coverage area, keep the spectral working parameters of the current light hood net unchanged.

[0115] By simulating the actual light spectral intensity in the target area, the present invention can further optimize the control rationality of the light hood net and improve the fishing efficiency.

[0116] The third aspect of the present invention provides a computer-readable storage medium, which includes a program for the method of dynamically adjusting the spectrum of a lighting mask network based on environmental parameter feedback. When the program for the method of dynamically adjusting the spectrum of a lighting mask network based on environmental parameter feedback is executed by a processor, the steps of any of the methods of dynamically adjusting the spectrum of a lighting mask network based on environmental parameter feedback are implemented.

[0117] In several embodiments provided by the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of the units is only a logical function division, and there may be other division methods in actual implementation. For example, multiple units or components can be combined, or can be integrated into another system, or some features can be ignored, or not executed. In addition, the coupling, direct coupling, or communication connection between the various components shown or discussed may be through some interfaces, and the indirect coupling or communication connection of devices or units may be electrical, mechanical, or other forms.

[0118] The units described above as separate components may or may not be physically separated, and the components shown as units may or may not be physical units; they can be located in one place or distributed to multiple network units; some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0119] In addition, in each embodiment of the present invention, the various functional units can all be integrated in one processing unit, or each unit can be separately a unit, or two or more units can be integrated in one unit; the above-mentioned integrated units can be implemented in the form of hardware, or in the form of a combination of hardware and software functional units.

[0120] Those of ordinary skill in the art can understand that all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions. The foregoing program can be stored in a computer-readable storage medium. When the program is executed, it executes the steps including the above method embodiments; and the foregoing storage medium includes: various media such as mobile storage devices, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disks, or optical discs that can store program codes.

[0121] Alternatively, if the above integrated units of the present invention are implemented in the form of software functional modules and sold or used as independent products, they can also be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the embodiments of the present invention, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the methods of the various embodiments of the present invention. The foregoing storage medium includes: various media that can store program codes such as removable storage devices, ROM, RAM, magnetic disks, or optical discs.

[0122] The above is only the specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention can easily think of changes or substitutions, which should all be covered by the protection scope of the present invention. Therefore, the protection scope of the present invention should be subject to the protection scope of the claims.

Claims

1. A method for dynamically adjusting the spectrum of a light shade net based on environmental parameter feedback, characterized in that: The following steps are involved: By setting up wireless sensors in the target waters, building a wireless sensor network, and obtaining environmental parameter data of the target waters through the wireless sensor network; Initialize the fishing position and spectrum working parameters of the light cover net, and obtain the initial coverage area position of the light according to the fishing position, working parameters and environmental parameter data of the target water area of ​​the light cover net; Acquire sonar data of the target water area at a preset depth, and construct a light coverage model diagram according to the initial coverage area position of the light and the sonar data of the target water area at the preset depth; The spectrum working parameters of the current light cover network are dynamically adjusted according to the light coverage model diagram.

2. The method for dynamically adjusting the light shade net spectrum based on environmental parameter feedback according to claim 1, characterized in that: By setting up wireless sensors in the target waters, a wireless sensor network is constructed, including: By setting up wireless sensors in the target waters to build a wireless sensor network, the data change fluctuation characteristics of the data collected by each wireless sensor in the wireless sensor network within a preset time are obtained; Setting a data change fluctuation characteristic threshold, and determining whether the data change fluctuation characteristic of the data collected by the wireless sensor within a preset time is greater than the data change fluctuation characteristic threshold; When the data change fluctuation characteristic of the data collected by the wireless sensor within a preset time is greater than the data change fluctuation characteristic threshold, the data collection frequency of the corresponding wireless sensor is increased; When the data change fluctuation characteristic of the data collected by the wireless sensor within a preset time is not greater than the data change fluctuation characteristic threshold, the data collection frequency of the corresponding wireless sensor is maintained.

3. The method for dynamically adjusting the light shade net spectrum based on environmental parameter feedback according to claim 1, characterized in that: Initialize the fishing position of the light cover net and the spectrum working parameters, including: Acquire image data information of each area in the target water area by remote sensing technology, and obtain pre-processed image data information by filtering and denoising the image data information of each area in the target water area; By identifying the pre-processed image data information and judging whether the target biological species type exists, when the target biological species type exists, the area where the target biological species type exists is used as the fishing position where the light cover net is located; Retrieve the spectrum type and spectrum intensity data range of the target biological population type through big data; The fishing position of the light cover net and the spectral working parameters are initialized according to the spectral type and spectral intensity data range of the target biological population type and the fishing position of the light cover net.

4. The method for dynamically adjusting the light shade net spectrum based on environmental parameter feedback according to claim 1, characterized in that: The initial coverage area position of the light is obtained according to the fishing position, working parameters and environmental parameter data of the target water area where the light cover net is located, specifically including: Based on virtual reality technology, the light cover net is arranged in a simulated manner according to the fishing position and working parameters of the light cover net, and the spectral intensity characteristic data of the light cover net at each area in the target waters are obtained; Acquire water turbidity data information in the target water area according to the environmental parameter data of the target water area, and acquire actual spectral intensity characteristic data of each spectral intensity characteristic data under different water turbidity data information during operation through big data; According to the actual spectral intensity characteristic data of each spectral intensity characteristic data under different water turbidity data information when working, the spectral intensity characteristic data of the light cover net at each regional position in the target water area, and the water turbidity data information in the target water area, the actual spectral intensity characteristic data of the light cover net at each regional position in the target water area is estimated; The position nodes of the actual spectral intensity characteristic data within the spectral intensity data range of the target biological population type are obtained, and the position nodes of the actual spectral intensity characteristic data within the spectral intensity data range of the target biological population type are counted to construct the initial coverage area position of the light.

5. The method for dynamically adjusting the light shade net spectrum based on environmental parameter feedback according to claim 1, characterized in that: Acquire the sonar data of the target water area at the preset depth, and construct a light coverage model diagram according to the initial coverage area position of the light and the sonar data of the target water area at the preset depth, specifically: Acquire sonar data of a target water area at a preset depth, and acquire sonar image data of a target obstacle based on the sonar data of the target water area at the preset depth; Determining contour feature data of the target obstacle based on the sonar image data of the target obstacle, and constructing a three-dimensional model diagram of the target obstacle according to the contour feature data of the target obstacle; The light coverage simulation is performed in combination with the geographical location information of the target obstacle, the three-dimensional model diagram of the target obstacle and the initial coverage area position of the light. Through the light coverage simulation, a light coverage model diagram is obtained, and the light coverage model diagram is output.

6. The method for dynamically adjusting the spectrum of a light shade net based on environmental parameter feedback according to claim 1, characterized in that: Dynamically adjusting the spectrum working parameters of the current light cover network according to the light coverage model diagram specifically includes: Acquire an actual light coverage area according to the light coverage model diagram, set a light coverage area data threshold, and determine whether the actual light coverage area is greater than the light coverage area data threshold; When the actual light coverage area is not greater than the light coverage area data threshold, the spectrum working parameters of the current light cover network are readjusted until it is greater than the light coverage area data threshold; When the actual light coverage area is greater than the light coverage area data threshold, the spectrum working parameters of the current light cover network are maintained unchanged.

7. A device for dynamically adjusting the spectrum of a light shade net based on environmental parameter feedback, characterized in that: It includes a memory and a processor, wherein the memory includes a program of a method for dynamically adjusting the spectrum of a light cover net based on environmental parameter feedback, and when the program of the method for dynamically adjusting the spectrum of a light cover net based on environmental parameter feedback is executed by the processor, the steps of the method for dynamically adjusting the spectrum of a light cover net based on environmental parameter feedback as described in any one of claims 1 to 6 are implemented.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a method program for dynamically adjusting the spectrum of a light cover net based on environmental parameter feedback. When the method program for dynamically adjusting the spectrum of a light cover net based on environmental parameter feedback is executed by a processor, the steps of the method for dynamically adjusting the spectrum of a light cover net based on environmental parameter feedback as described in any one of claims 1 to 6 are implemented.

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