A light purse seine fishing boat energy-saving optimization method and system based on photovoltaic regulation

Abstract

The application discloses a kind of light purse seine fishing boat energy-saving optimization method and system based on photovoltaic regulation, and the energy-saving optimization method and system are as follows: obtaining photovoltaic power output parameters and fish gathering lamp group response data of the fishing boat, identifying the photovoltaic control terminal of each independent power supply circuit corresponding to the fish gathering lamp group, constructing the control terminal circuit schematic diagram and power monitoring network thereof; monitoring the power generation of the photovoltaic system and the real-time power consumption through the network, predicting the total available energy budget in the night operation stage; at the same time, combining the fish detection data of the planned operation area to determine the expected operation time of the fish gathering lamp; finally, according to the total available energy budget and the expected operation time, the dynamic lighting strategy of the night fish gathering lamp is constructed to realize the efficient use of photovoltaic energy and the energy-saving optimization of the operation process, effectively reducing the consumption of traditional energy, improving the operation economy and environmental protection of the light purse seine fishing boat.

Description

Technical Field

[0001] This invention relates to the field of fishery energy optimization technology, and in particular to an energy-saving optimization method and system for light-guided purse seine fishing vessels based on photovoltaic regulation. Background Technology

[0002] Light-guided purse seine fishing is an important and efficient fishing method that utilizes the phototaxis of fish to attract and encircle them for harvesting. The fish-attracting lights are the core energy-consuming equipment. Traditional light-guided purse seine vessels mainly rely on onboard diesel generators to power the fish-attracting lights, resulting in huge energy consumption, high fuel costs, and significant carbon emissions and noise pollution. With the promotion of green shipping concepts and increasing pressure on fishing industry operating costs, achieving energy conservation and emission reduction in fishing vessels has become a key technological requirement for the industry's development.

[0003] In recent years, photovoltaic (PV) power generation technology has been explored for application in the field of auxiliary power supply for ships due to its clean and renewable characteristics. Some fishing boats have tried installing PV panels on their decks to provide daytime power for some of their loads. However, in the application of purse seine fishing boats, there are significant challenges in coordinating PV systems with fish-attracting lights. First, the main operating period of fish-attracting lights is concentrated at night, which conflicts with the "time shift" of PV power generation. Simply storing PV power for nighttime lighting without precise prediction and control of energy storage budgets can easily lead to insufficient energy storage affecting operations, or excessive energy storage resulting in wasted system investment. Second, the lighting strategy of fish-attracting lights is usually based on experience and fails to dynamically correlate with real-time fish detection data (such as fish density and gathering time), resulting in a mismatch between energy consumption and fish-attracting efficiency, which may lead to energy waste or insufficient attracting effect.

[0004] Therefore, existing technologies lack an energy-saving optimization method that can deeply integrate photovoltaic power generation characteristics, energy storage status, fish behavior dynamics, and precise control of fish-attracting lights. There is an urgent need for a solution that can construct a sophisticated power monitoring network to predict in real time the "green energy budget" available for nighttime operations, and, combined with quantitative analysis of the target fish school aggregation behavior, dynamically generate a fish-attracting light lighting strategy that matches the energy budget while balancing energy conservation and operational efficiency. This would fundamentally solve the problem of the uneconomical and inefficient application of photovoltaic energy on light-attracting purse seine fishing vessels. Summary of the Invention

[0005] To address at least one of the aforementioned technical problems, this invention proposes an energy-saving optimization method and system for light-guided purse seine fishing vessels based on photovoltaic regulation.

[0006] The first aspect of this invention provides an energy-saving optimization method for light-guided purse seine fishing vessels based on photovoltaic regulation, comprising:

[0007] Acquire the photovoltaic power output parameters and fish-attracting light group response data of the target light purse seine fishing vessel, identify the photovoltaic control terminal of the fish-attracting light group corresponding to each independent power supply circuit in the photovoltaic system based on the photovoltaic power output parameters and fish-attracting light group response data, and construct a schematic diagram of the fish-attracting light group control terminal circuit.

[0008] Construct a power monitoring network for the fish-attracting lamp group control terminal based on the circuit diagram of the fish-attracting lamp group control terminal;

[0009] The power generation and real-time power consumption of the photovoltaic system are obtained from the power monitoring network, and the total available energy budget for the nighttime operation phase of the fish-attracting lamp is predicted based on the power generation and real-time power consumption.

[0010] Acquire fish detection data of the planned operating area of ​​the target light-attracting purse seine fishing vessel, and determine the expected operating time of the fish-attracting lights of the target light-attracting purse seine fishing vessel based on the fish detection data;

[0011] A dynamic nighttime lighting strategy for fish-attracting lights is constructed based on the total available energy budget and the expected operating time of the fish-attracting lights.

[0012] In this solution, the process of acquiring the photovoltaic power output parameters and fish-attracting light group response data of the target light-filled purse seine fishing vessel, identifying the photovoltaic control terminal of the fish-attracting light group corresponding to each independent power supply circuit in the photovoltaic system based on the photovoltaic power output parameters and fish-attracting light group response data, and constructing a schematic diagram of the fish-attracting light group control terminal circuit is as follows:

[0013] The power output parameter sequence of each independent power supply circuit of the photovoltaic system of the target light-filled purse seine fishing vessel is obtained within a preset monitoring period. The power output parameter sequence includes voltage fluctuation curves, current output waveforms and power change time series data.

[0014] The response data of each fish-attracting light group on the light-filled purse seine fishing vessel is collected synchronously within the same monitoring period. The response data includes the light group start-up delay, brightness adjustment gradient and working current feedback signal.

[0015] Based on the power output parameter sequence and the response data of each fish-attracting lamp group, a time-aligned synergy analysis matrix is ​​constructed. The dynamic time warping distance between the power output parameter sequence and the response data of each fish-attracting lamp group at the same time point in the synergy analysis matrix is ​​calculated to determine the degree of temporal synergy between the power output parameter sequence and the response data of the fish-attracting lamp group.

[0016] Based on the said timing coordination degree, the pairing relationship between power supply circuits with a timing coordination degree greater than a preset value and fish-attracting light groups is selected to obtain power supply circuit-fish-attracting light group pairs.

[0017] Based on the power supply circuit-fish-attracting light group pair, construct a topology connection diagram including a photovoltaic array, power supply circuit, control switch and fish-attracting light group. Mark each power supply circuit and the corresponding fish-attracting light group number in the topology connection diagram, and generate a schematic diagram of the fish-attracting light group control terminal circuit.

[0018] In this solution, the construction of the power monitoring network for the fish-attracting lamp group control terminal based on the circuit diagram of the fish-attracting lamp group control terminal specifically involves:

[0019] Based on the schematic diagram of the fish-attracting lamp group control terminal circuit, the physical connection topology of each power supply circuit and the corresponding fish-attracting lamp group is extracted. Based on the physical connection topology, an independent power data wireless acquisition module is deployed for each power supply circuit in the power monitoring system. The power data wireless acquisition module includes a voltage sensor, a current sensor and a power metering chip.

[0020] The electromagnetic spectrum distribution map generated by the radio frequency equipment during the operation of the fishing vessel in various operating modes is captured by the spectrum scanning equipment. The intensity and frequency point distribution of the interference signal in the communication frequency band of the power data wireless acquisition module are identified based on the electromagnetic spectrum distribution map.

[0021] Based on the interference signal strength and frequency distribution, the idle frequency band with the least interference in the wireless communication frequency band is identified, and the idle frequency band is set as the optimal operating frequency band for the power data wireless acquisition module. The transmission power of the wireless communication unit is adjusted to below the threshold for avoiding interference.

[0022] Configure the communication parameters of each power data acquisition module according to the optimal operating frequency band and transmission power, and construct a power data acquisition link based on wireless communication;

[0023] The power monitoring network of the fish-attracting lamp group control terminal is formed by aggregating the power monitoring nodes of all power supply circuits according to the power data acquisition link.

[0024] In this solution, the step of obtaining the photovoltaic system's power generation and real-time power consumption from the power monitoring network, and predicting the total available energy budget for the nighttime operation phase of the fish-attracting lamps based on the power generation and real-time power consumption, specifically involves:

[0025] The power generation data of the photovoltaic system is collected in real time by the power monitoring network, and the real-time power consumption data of each fish-attracting lamp group during daytime operation and energy storage is collected simultaneously. The power generation data and the real-time power consumption data are aligned according to the time series to construct a daytime energy flow time series dataset.

[0026] The net power generation of the photovoltaic system within a preset monitoring period is calculated based on the daytime energy flow time series dataset. The net power generation is the difference between the total power generation and the total real-time power consumption. A time series prediction algorithm is introduced, the initial parameters of the prediction model are set, and the daytime energy flow time series dataset is input into the prediction model for training to obtain the trained energy prediction model.

[0027] Obtain the photovoltaic power generation curve and fish-attracting lamp power consumption pattern of the dates with the same meteorological conditions and light intensity as the current date from the historical operation data. Match the photovoltaic power generation curve and fish-attracting lamp power consumption pattern with the current daytime energy flow time series dataset and select the historical date data with the highest similarity as the reference benchmark.

[0028] Based on the reference benchmark and the trained energy prediction model, predict the remaining power generation of the photovoltaic system from the current time to a preset time after sunset, and predict the basic maintenance power consumption of the fish-attracting lamp group in the non-operation state from the current time to the preset time after sunset. Calculate the difference between the remaining power generation potential and the basic maintenance power consumption to obtain the net remaining energy during the day.

[0029] Obtain the current remaining power and maximum energy storage capacity of the fishing vessel's energy storage device. Calculate the maximum energy value that can be stored in the energy storage device during the remaining daytime hours based on the daytime remaining net energy and the charging efficiency of the energy storage device. Combine this with the current remaining power to obtain the theoretical total energy storage capacity of the energy storage device after sunset.

[0030] Based on the theoretical total energy storage and the predicted basic maintenance power consumption of the fish-attracting lamp group at night, the total available energy budget for the nighttime operation phase of the fish-attracting lamp is determined.

[0031] In this solution, the step of acquiring fish detection data of the planned operating area of ​​the target light-attracting purse seine vessel, and determining the expected operating time of the fish-attracting lights of the target light-attracting purse seine vessel based on the fish detection data, specifically involves:

[0032] Acquire sonar detection signal data of fish resources in the planned operation area of ​​the target light-filled purse seine fishing vessel, and decompose the sonar detection signal data of fish resources based on the variational mode decomposition algorithm to obtain multiple intrinsic mode functions;

[0033] Perform a Hilbert transform on each intrinsic mode function, calculate the instantaneous amplitude and instantaneous frequency of each intrinsic mode function, and construct a time-frequency distribution matrix based on the instantaneous amplitude and instantaneous frequency;

[0034] Fish school detection feature spectrum is extracted based on the time-frequency distribution matrix. The fish school detection feature spectrum includes the detection signal energy distribution, mean amplitude, and peak amplitude features. The fish school density at each detection point in the planned operation area is calculated based on the fish school detection feature spectrum.

[0035] Based on the Kriging interpolation method, the fish density at each detection point is spatially interpolated to generate a two-dimensional fish density distribution map of the planned operation area. The fish aggregation center area is identified based on the two-dimensional fish density distribution map, and the fish density gradient of the aggregation center area is calculated.

[0036] The density change rate from the low-density area to the aggregation center is calculated based on the fish density gradient. The density change rate is divided by the standard phototactic aggregation rate to estimate the time required for the fish to aggregate from the current initial distribution state to meet the preset density threshold required for fishing operations, thus obtaining the expected operation time of the fish-attracting lamp.

[0037] In this solution, the step of constructing a dynamic nighttime lighting strategy for fish-attracting lights based on the total available energy budget and the expected operating time of the fish-attracting lights specifically involves:

[0038] Based on the power consumption data of the fish-attracting light group, the total energy demand for nighttime operation of all fish-attracting lights running simultaneously is calculated based on the power consumption data and the expected operation time of the fish-attracting lights. When the total available energy budget is greater than or equal to the total energy demand for nighttime operation, the first lighting strategy for all fish-attracting light groups to run according to the expected operation time is generated.

[0039] When the total available energy budget is less than the total energy required for nighttime operations, the fish school location information is determined based on the fish detection data, and the horizontal azimuth angle of the fish school relative to the fishing vessel hull is determined based on the fish school location information.

[0040] The absolute difference between the direction of the illumination center axis of each fish-attracting lamp group and the horizontal azimuth angle is calculated based on the installation position information of each fish-attracting lamp group in the hull, and the effective coverage rate of each fish-attracting lamp group for the fish school is determined based on the absolute difference.

[0041] Fish-attracting lamp groups with an effective coverage rate higher than a preset value are designated as energy-saving optimized fish-attracting lamp groups. These energy-saving optimized fish-attracting lamp groups are operated according to the expected operating time, forming a second lighting strategy.

[0042] Calculate the total energy demand for nighttime operations under the second lighting strategy. If the total available energy budget is still less than the total energy demand for nighttime operations under the second lighting strategy, start the ship's generator to perform power compensation operation for the second lighting strategy, and obtain the third lighting strategy.

[0043] In this scheme, starting the ship's generator performs a power compensation operation on the second lighting strategy to obtain the third lighting strategy, specifically as follows:

[0044] The remaining power of the photovoltaic system's energy storage device is monitored in real time through the power monitoring network, and the time point when the energy storage device's power is exhausted is calculated based on the real-time power consumption data of the fish-attracting lamp group under the second lighting strategy.

[0045] Acquire the starting characteristic data of the generator on board, including the delay time required for the generator to reach the rated power of the fish-attracting lamp group from the issuance of the starting command;

[0046] The generator intervention time is calculated based on the time when the power is depleted and the required delay time. At the intervention time, a start command is sent to the generator to perform power compensation operation on the second lighting strategy, thus obtaining the third lighting strategy.

[0047] A second aspect of the present invention also provides an energy-saving optimization system for a photovoltaic-controlled light-based purse seine fishing vessel. The system includes a memory and a processor. The memory includes a program for an energy-saving optimization method for a photovoltaic-controlled light-based purse seine fishing vessel. When the processor executes the program, the following steps are performed:

[0048] Acquire the photovoltaic power output parameters and fish-attracting light group response data of the target light purse seine fishing vessel, identify the photovoltaic control terminal of the fish-attracting light group corresponding to each independent power supply circuit in the photovoltaic system based on the photovoltaic power output parameters and fish-attracting light group response data, and construct a schematic diagram of the fish-attracting light group control terminal circuit.

[0049] Construct a power monitoring network for the fish-attracting lamp group control terminal based on the circuit diagram of the fish-attracting lamp group control terminal;

[0050] The power generation and real-time power consumption of the photovoltaic system are obtained from the power monitoring network, and the total available energy budget for the nighttime operation phase of the fish-attracting lamp is predicted based on the power generation and real-time power consumption.

[0051] Acquire fish detection data of the planned operating area of ​​the target light-attracting purse seine fishing vessel, and determine the expected operating time of the fish-attracting lights of the target light-attracting purse seine fishing vessel based on the fish detection data;

[0052] A dynamic nighttime lighting strategy for fish-attracting lights is constructed based on the total available energy budget and the expected operating time of the fish-attracting lights.

[0053] This invention discloses an energy-saving optimization method and system for lighted purse seine fishing vessels based on photovoltaic regulation. By acquiring the photovoltaic power output parameters and fish-attracting lamp response data of the fishing vessel, the photovoltaic control terminals corresponding to each independent power supply circuit of the fish-attracting lamps are identified, and their control terminal circuit diagrams and power monitoring networks are constructed. This network monitors the photovoltaic system's power generation and real-time power consumption, predicting the total available energy budget for the nighttime operation phase. Simultaneously, combined with fish detection data from the planned operation area, the expected operation time of the fish-attracting lamps is determined. Finally, based on the total available energy budget and the expected operation time, a dynamic lighting strategy for the fish-attracting lamps at night is constructed to achieve efficient utilization of photovoltaic energy and energy-saving optimization of the operation process, effectively reducing traditional energy consumption and improving the operational economy and environmental friendliness of the lighted purse seine fishing vessel. Attached Figure Description

[0054] Figure 1 A flowchart of an energy-saving optimization method for a light-guided purse seine fishing vessel based on photovoltaic regulation is shown below.

[0055] Figure 2 A flowchart illustrating the power monitoring network for constructing the fish-attracting lamp group control terminal according to the present invention is shown;

[0056] Figure 3 The flowchart illustrating the present invention for determining the expected operating time of the fish-attracting lights of a target light purse seine fishing vessel is shown.

[0057] Figure 4 A block diagram of a photovoltaic-controlled light-based purse seine fishing vessel energy-saving optimization system of the present invention is shown. Detailed Implementation

[0058] To better understand the above-mentioned objectives, features, and advantages of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be noted that, unless otherwise specified, the embodiments and features described in these embodiments can be combined with each other.

[0059] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and therefore the scope of protection of the invention is not limited to the specific embodiments disclosed below.

[0060] Figure 1 The flowchart of an energy-saving optimization method for a light-guided purse seine fishing vessel based on photovoltaic regulation is shown.

[0061] like Figure 1 As shown, the first aspect of the present invention provides an energy-saving optimization method for light-guided purse seine fishing vessels based on photovoltaic regulation, comprising:

[0062] S102, acquire the photovoltaic power output parameters and fish-attracting lamp response data of the target light purse seine fishing boat, identify the photovoltaic control terminal of the fish-attracting lamp corresponding to each independent power supply circuit in the photovoltaic system based on the photovoltaic power output parameters and fish-attracting lamp response data, and construct a schematic diagram of the fish-attracting lamp control terminal circuit.

[0063] S104, Construct a power monitoring network for the fish-attracting lamp group control terminal based on the circuit diagram of the fish-attracting lamp group control terminal;

[0064] S106, Obtain the power generation and real-time power consumption of the photovoltaic system according to the power monitoring network, and predict the total available energy budget for the nighttime operation phase of the fish-attracting lamps based on the power generation and real-time power consumption.

[0065] S108, acquire fish detection data of the planned operation area of ​​the target light-attracting purse seine fishing vessel, and determine the expected operation time of the fish-attracting lights of the target light-attracting purse seine fishing vessel based on the fish detection data;

[0066] S110, construct a dynamic lighting strategy for the fish-attracting lamps at night based on the total available energy budget and the expected operating time of the fish-attracting lamps.

[0067] It should be noted that in nighttime operations of purse seine fishing vessels, there are common problems such as unclear matching between photovoltaic power generation and fish-attracting lamp loads, inadequate energy consumption monitoring, and low utilization of clean energy due to fixed lighting strategies. This paper addresses these issues by acquiring photovoltaic power output parameters and fish-attracting lamp response data, identifying the control terminals of fish-attracting lamps corresponding to independent power supply circuits, and establishing the actual electrical correspondence between the photovoltaic system and the fish-attracting lamps. A power monitoring network is constructed based on circuit diagrams to continuously monitor the photovoltaic power generation and the real-time power consumption of each fish-attracting lamp group. Furthermore, through predictive analysis of power generation and power consumption, the total available energy budget for nighttime fish-attracting lamp operations is assessed in advance, reducing the risk of operational interruptions or energy waste due to inaccurate energy estimations. The expected operating time of the fish-attracting lamps is further determined by combining fish detection data from the planned operating area, matching lighting needs with the actual fish gathering process and avoiding ineffective long-term lighting. Finally, a dynamic lighting strategy is constructed based on the energy budget and operating time, prioritizing the use of photovoltaic clean energy while ensuring fishing efficiency, reducing reliance on traditional fuel-fired power generation, thereby achieving energy-saving, efficient, and green operation of purse seine fishing vessels at night.

[0068] According to an embodiment of the present invention, the step of acquiring the photovoltaic power output parameters and fish-attracting light group response data of the target light-filled purse seine fishing vessel, identifying the photovoltaic control terminal of the fish-attracting light group corresponding to each independent power supply circuit in the photovoltaic system based on the photovoltaic power output parameters and fish-attracting light group response data, and constructing a schematic diagram of the fish-attracting light group control terminal circuit, specifically involves:

[0069] The power output parameter sequence of each independent power supply circuit of the photovoltaic system of the target light-filled purse seine fishing vessel is obtained within a preset monitoring period. The power output parameter sequence includes voltage fluctuation curves, current output waveforms and power change time series data.

[0070] The response data of each fish-attracting light group on the light-filled purse seine fishing vessel is collected synchronously within the same monitoring period. The response data includes the light group start-up delay, brightness adjustment gradient and working current feedback signal.

[0071] Based on the power output parameter sequence and the response data of each fish-attracting lamp group, a time-aligned synergy analysis matrix is ​​constructed. The dynamic time warping distance between the power output parameter sequence and the response data of each fish-attracting lamp group at the same time point in the synergy analysis matrix is ​​calculated to determine the degree of temporal synergy between the power output parameter sequence and the response data of the fish-attracting lamp group.

[0072] Based on the said timing coordination degree, the pairing relationship between power supply circuits with a timing coordination degree greater than a preset value and fish-attracting light groups is selected to obtain power supply circuit-fish-attracting light group pairs.

[0073] Based on the power supply circuit-fish-attracting light group pair, construct a topology connection diagram including a photovoltaic array, power supply circuit, control switch and fish-attracting light group. Mark each power supply circuit and the corresponding fish-attracting light group number in the topology connection diagram, and generate a schematic diagram of the fish-attracting light group control terminal circuit.

[0074] It should be noted that in actual purse seine fishing vessels, photovoltaic systems typically power multiple sets of fish-attracting lights through multiple independent power supply circuits. Due to factors such as complex hull structures, long-term wiring modifications, and manual on-site wiring, the correspondence between power supply circuits and fish-attracting light groups is often unclear or inaccurate. This leads to subsequent energy consumption statistics, load regulation, and fault location relying solely on experience, making refined energy management difficult. This claim identifies the true pairing relationship between power supply circuits and fish-attracting light groups by analyzing the coordinated changes in the photovoltaic power output parameter sequence and the response data of each fish-attracting light group over time. This solves the problem of automatically restoring the actual power supply structure of the shipborne photovoltaic-fish-attracting light system without manual disconnection or shutdown. The schematic diagram of the fish-attracting light group control terminal circuit can intuitively and accurately reflect the topological connection relationship between the photovoltaic array, power supply circuit, control switch, and fish-attracting light group.

[0075] Figure 2 The flowchart of the power monitoring network for constructing the fish-attracting lamp group control terminal of the present invention is shown.

[0076] According to an embodiment of the present invention, the step of constructing a power monitoring network for the fish-attracting lamp group control terminal based on the circuit diagram of the fish-attracting lamp group control terminal specifically includes:

[0077] Based on the schematic diagram of the fish-attracting lamp group control terminal circuit, the physical connection topology of each power supply circuit and the corresponding fish-attracting lamp group is extracted. Based on the physical connection topology, an independent power data wireless acquisition module is deployed for each power supply circuit in the power monitoring system. The power data wireless acquisition module includes a voltage sensor, a current sensor and a power metering chip.

[0078] The electromagnetic spectrum distribution map generated by the radio frequency equipment during the operation of the fishing vessel in various operating modes is captured by the spectrum scanning equipment. The intensity and frequency point distribution of the interference signal in the communication frequency band of the power data wireless acquisition module are identified based on the electromagnetic spectrum distribution map.

[0079] Based on the interference signal strength and frequency distribution, the idle frequency band with the least interference in the wireless communication frequency band is identified, and the idle frequency band is set as the optimal operating frequency band for the power data wireless acquisition module. The transmission power of the wireless communication unit is adjusted to below the threshold for avoiding interference.

[0080] Configure the communication parameters of each power data acquisition module according to the optimal operating frequency band and transmission power, and construct a power data acquisition link based on wireless communication;

[0081] The power monitoring network of the fish-attracting lamp group control terminal is formed by aggregating the power monitoring nodes of all power supply circuits according to the power data acquisition link.

[0082] It should be noted that due to the dispersed nature of shipboard power system lines and the dense concentration of radio frequency (RF) equipment, wireless sensors are prone to unstable monitoring data due to electromagnetic interference. Therefore, by extracting the actual physical connection topology based on the circuit diagram of the fish-attracting light group control terminal, and independently deploying a wireless power data acquisition module for each power supply circuit, refined acquisition of voltage, current, and power of each circuit is achieved. By scanning and analyzing the electromagnetic spectrum of the fishing vessel under different operating conditions, the idle communication frequency band with the least interference is dynamically selected, and the transmission power is reasonably controlled. This effectively avoids the impact of RF sources such as shipboard radar and communication equipment on monitoring data transmission, significantly improving the stability and reliability of the wireless acquisition link. The resulting power monitoring network for the fish-attracting light group control terminal can continuously and accurately aggregate real-time energy consumption information from each power supply circuit.

[0083] According to an embodiment of the present invention, the step of obtaining the power generation and real-time power consumption of the photovoltaic system from the power monitoring network, and predicting the total available energy budget for the nighttime operation phase of the fish-attracting lamps based on the power generation and real-time power consumption, specifically includes:

[0084] The power generation data of the photovoltaic system is collected in real time by the power monitoring network, and the real-time power consumption data of each fish-attracting lamp group during daytime operation and energy storage is collected simultaneously. The power generation data and the real-time power consumption data are aligned according to the time series to construct a daytime energy flow time series dataset.

[0085] The net power generation of the photovoltaic system within a preset monitoring period is calculated based on the daytime energy flow time series dataset. The net power generation is the difference between the total power generation and the total real-time power consumption. A time series prediction algorithm is introduced, the initial parameters of the prediction model are set, and the daytime energy flow time series dataset is input into the prediction model for training to obtain the trained energy prediction model.

[0086] Obtain the photovoltaic power generation curve and fish-attracting lamp power consumption pattern of the dates with the same meteorological conditions and light intensity as the current date from the historical operation data. Match the photovoltaic power generation curve and fish-attracting lamp power consumption pattern with the current daytime energy flow time series dataset and select the historical date data with the highest similarity as the reference benchmark.

[0087] Based on the reference benchmark and the trained energy prediction model, predict the remaining power generation of the photovoltaic system from the current time to a preset time after sunset, and predict the basic maintenance power consumption of the fish-attracting lamp group in the non-operation state from the current time to the preset time after sunset. Calculate the difference between the remaining power generation potential and the basic maintenance power consumption to obtain the net remaining energy during the day.

[0088] Obtain the current remaining power and maximum energy storage capacity of the fishing vessel's energy storage device. Calculate the maximum energy value that can be stored in the energy storage device during the remaining daytime hours based on the daytime remaining net energy and the charging efficiency of the energy storage device. Combine this with the current remaining power to obtain the theoretical total energy storage capacity of the energy storage device after sunset.

[0089] Based on the theoretical total energy storage and the predicted basic maintenance power consumption of the fish-attracting lamp group at night, the total available energy budget for the nighttime operation phase of the fish-attracting lamp is determined.

[0090] It should be noted that by synchronously collecting and aligning the power generation of the photovoltaic system with the real-time power consumption of the fish-attracting lamps, the daytime energy flow status of fishing vessels is characterized, avoiding energy estimation errors caused by relying solely on instantaneous power consumption or empirical judgment. Based on this, a time-series prediction model is introduced and combined with net power generation calculation to achieve dynamic prediction of the remaining power generation capacity of the photovoltaic system. Simultaneously, historical operational data similar to the current weather conditions and light intensity are selected as a reference benchmark to effectively correct the uncertainty of the prediction model under complex sea conditions and improve the accuracy of energy prediction. Furthermore, by comprehensively considering the basic maintenance power consumption of the fish-attracting lamps in non-operational states, as well as the capacity and charging efficiency of the energy storage device, the scale of energy that can be converted and stored during the day is accurately assessed, thereby estimating the theoretical total energy storage level of the energy storage system after sunset. The final total available energy budget for nighttime fish-attracting lamp operations can truly reflect the supporting capacity of the photovoltaic and energy storage systems. The initial parameters of the prediction model include the model time step, input feature weight coefficients, learning rate, historical data window length, and model error convergence threshold. The power consumption mode of a fish-attracting lamp refers to the power consumption characteristics of the fish-attracting lamp over time under different operating states (such as startup, steady-state lighting, brightness adjustment, and standby maintenance).

[0091] Figure 3 The flowchart illustrating the present invention for determining the expected operating time of the fish-attracting lights of a target light purse seine fishing vessel is shown.

[0092] According to an embodiment of the present invention, the step of acquiring fish detection data of the planned operating area of ​​the target light-attracting purse seine fishing vessel, and determining the expected operating time of the fish-attracting lights of the target light-attracting purse seine fishing vessel based on the fish detection data, specifically involves:

[0093] Acquire sonar detection signal data of fish resources in the planned operation area of ​​the target light-filled purse seine fishing vessel, and decompose the sonar detection signal data of fish resources based on the variational mode decomposition algorithm to obtain multiple intrinsic mode functions;

[0094] Perform a Hilbert transform on each intrinsic mode function, calculate the instantaneous amplitude and instantaneous frequency of each intrinsic mode function, and construct a time-frequency distribution matrix based on the instantaneous amplitude and instantaneous frequency;

[0095] Fish school detection feature spectrum is extracted based on the time-frequency distribution matrix. The fish school detection feature spectrum includes the detection signal energy distribution, mean amplitude, and peak amplitude features. The fish school density at each detection point in the planned operation area is calculated based on the fish school detection feature spectrum.

[0096] Based on the Kriging interpolation method, the fish density at each detection point is spatially interpolated to generate a two-dimensional fish density distribution map of the planned operation area. The fish aggregation center area is identified based on the two-dimensional fish density distribution map, and the fish density gradient of the aggregation center area is calculated.

[0097] The density change rate from the low-density area to the aggregation center is calculated based on the fish density gradient. The density change rate is divided by the standard phototactic aggregation rate to estimate the time required for the fish to aggregate from the current initial distribution state to meet the preset density threshold required for fishing operations, thus obtaining the expected operation time of the fish-attracting lamp.

[0098] It should be noted that, based on the fish school detection characteristic spectrum, there is a physical mapping relationship between the energy distribution characteristics of the acoustic detection signal and the backscattering intensity of the fish target at each detection point within the planned operation area. The average amplitude of the detection signal reflects the average number of fish scatterers per unit volume of water, while the peak amplitude corresponds to the strong reflection signal of a high-density fish school within the detection beam. By establishing a density inversion function based on the acoustic scattering model, the energy distribution, average amplitude, and peak amplitude in the fish school detection characteristic spectrum are used as input variables. This function integrates the correction for sound wave propagation loss in seawater, the frequency response characteristics of fish target intensity, and the geometric correction of the beam illumination volume, thereby quantifying the characteristic values ​​of the detection signal into the number of fish per unit volume, thus obtaining the fish school density at each detection point. The standard phototactic aggregation rate is pre-calibrated through on-site measurements at sea, reflecting the average increase in fish school density per unit time due to phototactic behavior under standard illumination conditions of a target light purse seine fishing vessel. The standard illumination conditions include illumination intensity, spectral composition, effective underwater light transmission depth, and the coverage area of ​​the light in the target water layer.

[0099] According to an embodiment of the present invention, the step of constructing a dynamic nighttime lighting strategy for fish-attracting lamps based on the total available energy budget and the expected operating time of the fish-attracting lamps specifically includes:

[0100] Based on the power consumption data of the fish-attracting light group, the total energy demand for nighttime operation of all fish-attracting lights running simultaneously is calculated based on the power consumption data and the expected operation time of the fish-attracting lights. When the total available energy budget is greater than or equal to the total energy demand for nighttime operation, the first lighting strategy for all fish-attracting light groups to run according to the expected operation time is generated.

[0101] When the total available energy budget is less than the total energy required for nighttime operations, the fish school location information is determined based on the fish detection data, and the horizontal azimuth angle of the fish school relative to the fishing vessel hull is determined based on the fish school location information.

[0102] The absolute difference between the direction of the illumination center axis of each fish-attracting lamp group and the horizontal azimuth angle is calculated based on the installation position information of each fish-attracting lamp group in the hull, and the effective coverage rate of each fish-attracting lamp group for the fish school is determined based on the absolute difference.

[0103] Fish-attracting lamp groups with an effective coverage rate higher than a preset value are designated as energy-saving optimized fish-attracting lamp groups. These energy-saving optimized fish-attracting lamp groups are operated according to the expected operating time, forming a second lighting strategy.

[0104] Calculate the total energy demand for nighttime operations under the second lighting strategy. If the total available energy budget is still less than the total energy demand for nighttime operations under the second lighting strategy, start the ship's generator to perform power compensation operation for the second lighting strategy, and obtain the third lighting strategy.

[0105] It should be noted that during nighttime operations of purse seine fishing vessels, all fish-attracting lights are usually turned on and run for a fixed duration. When the photovoltaic and energy storage systems are insufficient, energy waste or forced interruption of operations can easily occur. Differentiated control can be achieved through a tiered lighting strategy to address different energy supply conditions. The first lighting strategy, assuming sufficient total available energy budget, ensures all fish-attracting lights operate for the expected duration, creating a complete and uniform fish-attracting light field without increasing energy consumption, maximizing fish aggregation and ensuring fishing efficiency. When the energy budget is insufficient to support full light operation, the second lighting strategy incorporates fish school location information and the spatial installation relationship of the fish-attracting lights, prioritizing lights with high effective illumination coverage for the current fish school. This reduces the number of lights and energy consumption while maintaining effective fish attraction, addressing the problem of significantly reduced fish-attracting efficiency caused by traditional average light-off. When even optimized lighting cannot meet the operational energy requirements, the third lighting strategy intervenes with the ship's generators before energy storage is depleted, preventing sudden power outages from affecting operational continuity and equipment safety. This achieves a coordinated energy supply mode prioritizing clean energy and using conventional energy as a backup, thus balancing energy saving with the stability and reliability of nighttime fishing operations under different energy constraints. The smaller the absolute difference, the higher the effective illumination coverage.

[0106] According to an embodiment of the present invention, the starting of the ship's generator performs a power compensation operation on the second lighting strategy to obtain a third lighting strategy, specifically as follows:

[0107] The remaining power of the photovoltaic system's energy storage device is monitored in real time through the power monitoring network, and the time point when the energy storage device's power is exhausted is calculated based on the real-time power consumption data of the fish-attracting lamp group under the second lighting strategy.

[0108] Acquire the starting characteristic data of the generator on board, including the delay time required for the generator to reach the rated power of the fish-attracting lamp group from the issuance of the starting command;

[0109] The generator intervention time is calculated based on the time when the power is depleted and the required delay time. At the intervention time, a start command is sent to the generator to perform power compensation operation on the second lighting strategy, thus obtaining the third lighting strategy.

[0110] It should be noted that by monitoring the remaining power of the photovoltaic energy storage device in real time and combining it with the real-time power consumption of the fish-attracting lamp under the second lighting strategy, the energy storage depletion time can be accurately predicted. Then, based on the start-up delay characteristics of the onboard generator, the intervention time can be calculated, so that the generator can start up and reach its rated power before the energy storage device's power is depleted. This enables the generator to start up in an orderly manner to compensate for the power supply to the fish-attracting lamp before the energy storage power is depleted, thereby ensuring the continuous and stable operation of the lights during nighttime operations, avoiding operation interruptions or equipment damage caused by sudden power outages, effectively achieving coordinated energy supply with priority given to clean energy and timely replenishment of conventional energy, and improving the reliability and energy utilization efficiency of nighttime operations of the light-lit purse seine fishing vessel.

[0111] According to an embodiment of the present invention, it further includes:

[0112] The system acquires data from the photosensitive sensor array deployed on the surface of the photovoltaic panel in the power monitoring network and the real-time output current data of the corresponding power supply circuit. It calculates the theoretical irradiance based on the photosensitive sensor array data, calculates the theoretical current value by comparing the theoretical irradiance with the standard conversion efficiency model of the photovoltaic panel in a clean state, and compares the theoretical current value with the real-time output current data to calculate the deviation rate between the two.

[0113] Based on the time series changes of the deviation rate, and combined with the air humidity and wind speed information in the meteorological data obtained from the power monitoring network, a cumulative dynamic model of salt fog pollution with the deviation rate as the dependent variable is constructed. The change curve of the deviation rate in a specific future period is predicted through the cumulative dynamic model of salt fog pollution.

[0114] Based on the deviation rate change curve, the photovoltaic power generation curve used to predict the remaining power generation of the photovoltaic system in the energy prediction model is reduced and corrected to obtain the corrected photovoltaic power generation prediction curve.

[0115] The corrected photovoltaic power generation prediction curve is obtained, and the maximum storable energy value is calculated based on the current state and charging efficiency of the energy storage device. The daytime remaining net energy and the theoretical total energy storage are recalculated, thereby dynamically adjusting and calibrating the total available energy budget.

[0116] According to an embodiment of the present invention, the step of constructing a cumulative dynamic model of salt fog pollution with the deviation rate as the dependent variable, based on the time series change of the deviation rate and combined with the air humidity and wind speed information in the meteorological data obtained from the power monitoring network, and predicting the change curve of the deviation rate in a specific future period through the cumulative dynamic model of salt fog pollution, specifically involves:

[0117] Extract the baseline deviation rate under the initial clean state from the time series of the deviation rate, identify the starting time point when the deviation rate begins to increase significantly, and compare the starting time point with the period in the meteorological data when the wind speed continuously exceeds the threshold and the air humidity is close to saturation to confirm the pollution initiation conditions when salt spray pollution begins to accumulate.

[0118] After confirming the pollution initiation conditions, the deviation rate, air humidity and wind speed data are continuously and synchronously collected. The air humidity and wind speed data are used to calculate the estimated salt mass per unit area that may be deposited on the photovoltaic panel surface per unit time, and a regression relationship is established between the estimated salt mass per unit area and the deviation rate increment in the corresponding time period.

[0119] Based on the regression relationship, a salt deposition-photovoltaic efficiency influence function is constructed, and the real-time acquired air humidity and wind speed information are substituted into the salt deposition-photovoltaic efficiency influence function to iteratively calculate the cumulative amount of salt mass per unit area within a specific future time period.

[0120] Based on the cumulative amount of the estimated salt mass per unit area, the corresponding deviation rate prediction increment is mapped through the salt deposition-photoelectric efficiency influence function. This prediction increment is then superimposed on the actual deviation rate at the current moment to generate the deviation rate change curve for the specific future time period.

[0121] It is important to note that in the marine operating environment, the photovoltaic systems of purse seine fishing vessels are highly susceptible to corrosion from seawater droplets and salt spray, forming a salt film. This pollution layer severely weakens the photoelectric conversion efficiency of the photovoltaic panels. This efficiency degradation is a dynamic process that changes over time and with environmental conditions. If it cannot be quantitatively assessed and predicted in a timely and accurate manner, it will directly lead to a significant deviation between the "total available energy budget" predicted based on historical cleanliness models and the actual power generation capacity, resulting in an overly optimistic budget. By monitoring the deviation rate between the actual output of the photovoltaic panels and the theoretical value in real time and intelligently linking it with environmental meteorological data, the impact curve of salt pollution on power generation efficiency can be dynamically constructed and predicted. This achieves forward-looking perception and precise quantification of the cumulative effect of pollution, enabling the system to dynamically adjust and calibrate power generation forecasts and energy budgets in advance, thereby incorporating the uncertainty of power generation caused by environmental factors into the scope of proactive management. This not only significantly improves the reliability and robustness of the energy security plan for nighttime operations, ensuring the stability of the fish-attracting light field during critical operating periods, but also provides a crucial deterministic foundation for the ultimate success of the entire energy-saving optimization strategy from the energy supply perspective.

[0122] Figure 4 A block diagram of a photovoltaic-controlled light-based purse seine fishing vessel energy-saving optimization system of the present invention is shown.

[0123] A second aspect of the present invention also provides an energy-saving optimization system for a photovoltaic-controlled light-based purse seine fishing vessel. The system includes a memory 401, a processor 402, and a communication interface 403. The memory includes a program for an energy-saving optimization method for a photovoltaic-controlled light-based purse seine fishing vessel. The communication interface is used for data connection and communication between the memory and the processor. When the processor executes the program for the energy-saving optimization method for a photovoltaic-controlled light-based purse seine fishing vessel, it performs the following steps:

[0124] Acquire the photovoltaic power output parameters and fish-attracting light group response data of the target light purse seine fishing vessel, identify the photovoltaic control terminal of the fish-attracting light group corresponding to each independent power supply circuit in the photovoltaic system based on the photovoltaic power output parameters and fish-attracting light group response data, and construct a schematic diagram of the fish-attracting light group control terminal circuit.

[0125] Construct a power monitoring network for the fish-attracting lamp group control terminal based on the circuit diagram of the fish-attracting lamp group control terminal;

[0126] The power generation and real-time power consumption of the photovoltaic system are obtained from the power monitoring network, and the total available energy budget for the nighttime operation phase of the fish-attracting lamp is predicted based on the power generation and real-time power consumption.

[0127] Acquire fish detection data of the planned operating area of ​​the target light-attracting purse seine fishing vessel, and determine the expected operating time of the fish-attracting lights of the target light-attracting purse seine fishing vessel based on the fish detection data;

[0128] A dynamic nighttime lighting strategy for fish-attracting lights is constructed based on the total available energy budget and the expected operating time of the fish-attracting lights.

[0129] This invention discloses an energy-saving optimization method and system for lighted purse seine fishing vessels based on photovoltaic regulation. By acquiring the photovoltaic power output parameters and fish-attracting lamp response data of the fishing vessel, the photovoltaic control terminals corresponding to each independent power supply circuit of the fish-attracting lamps are identified, and their control terminal circuit diagrams and power monitoring networks are constructed. This network monitors the photovoltaic system's power generation and real-time power consumption, predicting the total available energy budget for the nighttime operation phase. Simultaneously, combined with fish detection data from the planned operation area, the expected operation time of the fish-attracting lamps is determined. Finally, based on the total available energy budget and the expected operation time, a dynamic lighting strategy for the fish-attracting lamps at night is constructed to achieve efficient utilization of photovoltaic energy and energy-saving optimization of the operation process, effectively reducing traditional energy consumption and improving the operational economy and environmental friendliness of the lighted purse seine fishing vessel.

[0130] Those skilled in the art will understand that all or part of the steps of the above method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it performs the steps of the above method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0131] Alternatively, if the integrated units of this invention are implemented as software functional modules and sold or used as independent products, they can also be stored in a computer-readable storage medium. Based on this understanding, the technical solutions of the embodiments of this invention, or the parts that contribute 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 to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, ROM, RAM, magnetic disks, or optical disks.

[0132] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for optimizing energy conservation in a light-guided purse seine fishing vessel based on photovoltaic regulation, characterized in that, Includes the following steps: Acquire the photovoltaic power output parameters and fish-attracting light group response data of the target light purse seine fishing vessel, identify the photovoltaic control terminal of the fish-attracting light group corresponding to each independent power supply circuit in the photovoltaic system based on the photovoltaic power output parameters and fish-attracting light group response data, and construct a schematic diagram of the fish-attracting light group control terminal circuit. Construct a power monitoring network for the fish-attracting lamp group control terminal based on the circuit diagram of the fish-attracting lamp group control terminal; The power generation and real-time power consumption of the photovoltaic system are obtained from the power monitoring network, and the total available energy budget for the nighttime operation phase of the fish-attracting lamp is predicted based on the power generation and real-time power consumption. Acquire fish detection data of the planned operating area of ​​the target light-attracting purse seine fishing vessel, and determine the expected operating time of the fish-attracting lights of the target light-attracting purse seine fishing vessel based on the fish detection data; A dynamic nighttime lighting strategy for fish-attracting lights is constructed based on the total available energy budget and the expected operating time of the fish-attracting lights.

2. The energy-saving optimization method for light-guided purse seine fishing vessels based on photovoltaic regulation according to claim 1, characterized in that, The process involves acquiring the photovoltaic power output parameters and fish-attracting light group response data of the target light-filled purse seine fishing vessel, identifying the photovoltaic control terminal of the fish-attracting light group corresponding to each independent power supply circuit in the photovoltaic system based on the photovoltaic power output parameters and fish-attracting light group response data, and constructing a circuit diagram of the fish-attracting light group control terminal. Specifically: The power output parameter sequence of each independent power supply circuit of the photovoltaic system of the target light-filled purse seine fishing vessel is obtained within a preset monitoring period. The power output parameter sequence includes voltage fluctuation curves, current output waveforms and power change time series data. The response data of each fish-attracting light group on the light-filled purse seine fishing vessel is collected synchronously within the same monitoring period. The response data includes the light group start-up delay, brightness adjustment gradient and working current feedback signal. Based on the power output parameter sequence and the response data of each fish-attracting lamp group, a time-aligned synergy analysis matrix is ​​constructed. The dynamic time warping distance between the power output parameter sequence and the response data of each fish-attracting lamp group at the same time point in the synergy analysis matrix is ​​calculated to determine the degree of temporal synergy between the power output parameter sequence and the response data of the fish-attracting lamp group. Based on the said timing coordination degree, the pairing relationship between power supply circuits with a timing coordination degree greater than a preset value and fish-attracting light groups is selected to obtain power supply circuit-fish-attracting light group pairs. Based on the power supply circuit-fish-attracting light group pair, construct a topology connection diagram including a photovoltaic array, power supply circuit, control switch and fish-attracting light group. Mark each power supply circuit and the corresponding fish-attracting light group number in the topology connection diagram, and generate a schematic diagram of the fish-attracting light group control terminal circuit.

3. The energy-saving optimization method for light-guided purse seine fishing vessels based on photovoltaic regulation according to claim 1, characterized in that, The construction of the power monitoring network for the fish-attracting lamp group control terminal based on the circuit diagram of the fish-attracting lamp group control terminal specifically involves: Based on the schematic diagram of the fish-attracting lamp group control terminal circuit, the physical connection topology of each power supply circuit and the corresponding fish-attracting lamp group is extracted. Based on the physical connection topology, an independent power data wireless acquisition module is deployed for each power supply circuit in the power monitoring system. The power data wireless acquisition module includes a voltage sensor, a current sensor and a power metering chip. The electromagnetic spectrum distribution map generated by the radio frequency equipment during the operation of the fishing vessel in various operating modes is captured by the spectrum scanning equipment. The intensity and frequency point distribution of the interference signal in the communication frequency band of the power data wireless acquisition module are identified based on the electromagnetic spectrum distribution map. Based on the interference signal strength and frequency distribution, the idle frequency band with the least interference in the wireless communication frequency band is identified, and the idle frequency band is set as the optimal operating frequency band for the power data wireless acquisition module. The transmission power of the wireless communication unit is adjusted to below the threshold for avoiding interference. Configure the communication parameters of each power data acquisition module according to the optimal operating frequency band and transmission power, and construct a power data acquisition link based on wireless communication; The power monitoring network of the fish-attracting lamp group control terminal is formed by aggregating the power monitoring nodes of all power supply circuits according to the power data acquisition link.

4. The energy-saving optimization method for light-guided purse seine fishing vessels based on photovoltaic regulation according to claim 1, characterized in that, The process of obtaining the photovoltaic system's power generation and real-time power consumption from the power monitoring network, and predicting the total available energy budget for the fish-attracting lamp's nighttime operation phase based on the power generation and real-time power consumption, specifically involves: The power generation data of the photovoltaic system is collected in real time by the power monitoring network, and the real-time power consumption data of each fish-attracting lamp group during daytime operation and energy storage is collected simultaneously. The power generation data and the real-time power consumption data are aligned according to the time series to construct a daytime energy flow time series dataset. The net power generation of the photovoltaic system within a preset monitoring period is calculated based on the daytime energy flow time series dataset. The net power generation is the difference between the total power generation and the total real-time power consumption. A time series prediction algorithm is introduced, the initial parameters of the prediction model are set, and the daytime energy flow time series dataset is input into the prediction model for training to obtain the trained energy prediction model. Obtain the photovoltaic power generation curve and fish-attracting lamp power consumption pattern of the dates with the same meteorological conditions and light intensity as the current date from the historical operation data. Match the photovoltaic power generation curve and fish-attracting lamp power consumption pattern with the current daytime energy flow time series dataset and select the historical date data with the highest similarity as the reference benchmark. Based on the reference benchmark and the trained energy prediction model, predict the remaining power generation of the photovoltaic system from the current time to a preset time after sunset, and predict the basic maintenance power consumption of the fish-attracting lamp group in the non-operation state from the current time to the preset time after sunset. Calculate the difference between the remaining power generation potential and the basic maintenance power consumption to obtain the net remaining energy during the day. Obtain the current remaining power and maximum energy storage capacity of the fishing vessel's energy storage device. Calculate the maximum energy value that can be stored in the energy storage device during the remaining daytime hours based on the daytime remaining net energy and the charging efficiency of the energy storage device. Combine this with the current remaining power to obtain the theoretical total energy storage capacity of the energy storage device after sunset. Based on the theoretical total energy storage and the predicted basic maintenance power consumption of the fish-attracting lamp group at night, the total available energy budget for the nighttime operation phase of the fish-attracting lamp is determined.

5. The energy-saving optimization method for light-guided purse seine fishing vessels based on photovoltaic regulation according to claim 1, characterized in that, The process of acquiring fish detection data of the planned operating area of ​​the target light-attracting purse seine vessel, and determining the expected operating time of the fish-attracting lights of the target light-attracting purse seine vessel based on the fish detection data, specifically involves: Acquire sonar detection signal data of fish resources in the planned operation area of ​​the target light-filled purse seine fishing vessel, and decompose the sonar detection signal data of fish resources based on the variational mode decomposition algorithm to obtain multiple intrinsic mode functions; Perform a Hilbert transform on each intrinsic mode function, calculate the instantaneous amplitude and instantaneous frequency of each intrinsic mode function, and construct a time-frequency distribution matrix based on the instantaneous amplitude and instantaneous frequency; Fish school detection feature spectrum is extracted based on the time-frequency distribution matrix. The fish school detection feature spectrum includes the detection signal energy distribution, mean amplitude, and peak amplitude features. The fish school density at each detection point in the planned operation area is calculated based on the fish school detection feature spectrum. Based on the Kriging interpolation method, the fish density at each detection point is spatially interpolated to generate a two-dimensional fish density distribution map of the planned operation area. The fish aggregation center area is identified based on the two-dimensional fish density distribution map, and the fish density gradient of the aggregation center area is calculated. The density change rate from the low-density area to the aggregation center is calculated based on the fish density gradient. The density change rate is divided by the standard phototactic aggregation rate to estimate the time required for the fish to aggregate from the current initial distribution state to meet the preset density threshold required for fishing operations, thus obtaining the expected operation time of the fish-attracting lamp.

6. The energy-saving optimization method for light-guided purse seine fishing vessels based on photovoltaic regulation according to claim 1, characterized in that, The dynamic nighttime lighting strategy for fish-attracting lights, constructed based on the total available energy budget and the expected operating time of the fish-attracting lights, is specifically as follows: Based on the power consumption data of the fish-attracting light group, the total energy demand for nighttime operation of all fish-attracting lights running simultaneously is calculated based on the power consumption data and the expected operation time of the fish-attracting lights. When the total available energy budget is greater than or equal to the total energy demand for nighttime operation, the first lighting strategy for all fish-attracting light groups to run according to the expected operation time is generated. When the total available energy budget is less than the total energy required for nighttime operations, the fish school location information is determined based on the fish detection data, and the horizontal azimuth angle of the fish school relative to the fishing vessel hull is determined based on the fish school location information. The absolute difference between the direction of the illumination center axis of each fish-attracting lamp group and the horizontal azimuth angle is calculated based on the installation position information of each fish-attracting lamp group in the hull, and the effective coverage rate of each fish-attracting lamp group for the fish school is determined based on the absolute difference. Fish-attracting lamp groups with an effective coverage rate higher than a preset value are designated as energy-saving optimized fish-attracting lamp groups. These energy-saving optimized fish-attracting lamp groups are operated according to the expected operating time, forming a second lighting strategy. Calculate the total energy requirement for nighttime operations under the second lighting strategy. If the total available energy budget is still less than the total energy requirement for nighttime operations under the second lighting strategy, start the ship's generator to perform power compensation operation for the second lighting strategy, and obtain the third lighting strategy.

7. The energy-saving optimization method for a light-guided purse seine fishing vessel based on photovoltaic regulation according to claim 6, characterized in that, The starting of the ship's generator performs a power compensation operation on the second lighting strategy to obtain the third lighting strategy, which is as follows: The remaining power of the photovoltaic system's energy storage device is monitored in real time through the power monitoring network, and the time point when the energy storage device's power is exhausted is calculated based on the real-time power consumption data of the fish-attracting lamp group under the second lighting strategy. Acquire the starting characteristic data of the generator on board, including the delay time required for the generator to reach the rated power of the fish-attracting lamp group from the issuance of the starting command; The generator intervention time is calculated based on the time when the power is depleted and the required delay time. At the intervention time, a start command is sent to the generator to perform power compensation operation on the second lighting strategy, thus obtaining the third lighting strategy.

8. A photovoltaic-controlled light-based purse seine fishing vessel energy-saving optimization system, characterized in that, The photovoltaic-controlled light-based purse seine fishing vessel energy-saving optimization system includes a storage unit and a processor. The storage unit includes a photovoltaic-controlled light-based purse seine fishing vessel energy-saving optimization method program. When the processor executes the photovoltaic-controlled light-based purse seine fishing vessel energy-saving optimization method program, it performs the following steps: Acquire the photovoltaic power output parameters and fish-attracting light group response data of the target light purse seine fishing vessel, identify the photovoltaic control terminal of the fish-attracting light group corresponding to each independent power supply circuit in the photovoltaic system based on the photovoltaic power output parameters and fish-attracting light group response data, and construct a schematic diagram of the fish-attracting light group control terminal circuit. Construct a power monitoring network for the fish-attracting lamp group control terminal based on the circuit diagram of the fish-attracting lamp group control terminal; The power generation and real-time power consumption of the photovoltaic system are obtained from the power monitoring network, and the total available energy budget for the nighttime operation phase of the fish-attracting lamp is predicted based on the power generation and real-time power consumption. Acquire fish detection data of the planned operating area of ​​the target light-attracting purse seine fishing vessel, and determine the expected operating time of the fish-attracting lights of the target light-attracting purse seine fishing vessel based on the fish detection data; A dynamic nighttime lighting strategy for fish-attracting lights is constructed based on the total available energy budget and the expected operating time of the fish-attracting lights.

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