Ocean power generation method, device and equipment based on ocean garbage and storage medium

Abstract

The application discloses a marine power generation method and device based on marine garbage, equipment and a storage medium. The technical scheme of the application recycles and processes marine garbage in a preset marine power generation area, collects historical power generation data in the marine power generation process according to a preset period, constructs a marine power generation control model for regulating and controlling marine power generation system parameters according to the historical power generation data, and then controls and schedules the marine garbage power generation process according to the marine power generation control model, so as to realize stable power generation of marine garbage treatment and resource utilization.

Description

Technical Field

[0001] This invention relates to the field of marine power generation technology, and in particular to a method, apparatus, equipment and storage medium for marine power generation based on marine debris. Background Technology

[0002] With the acceleration of global industrialization, the stock of marine debris, such as plastic waste and discarded fishing gear, is increasing year by year. Millions of tons of waste enter the ocean annually, damaging marine ecosystems, threatening the survival of marine life, and potentially harming human health through the food chain. Marine debris management has become an urgent global environmental problem. Current mainstream technologies for marine debris disposal and marine energy utilization both have significant shortcomings, making it difficult to simultaneously meet the dual needs of pollution control and energy supply.

[0003] In the field of marine debris cleanup, existing operational models mostly rely on manual salvage or diesel-powered cleaning vessels, which have several drawbacks: First, the energy consumption costs of operations remain high, and deep-sea operations require frequent trips to ports to refuel, resulting in large maintenance costs; second, the environmental friendliness of waste disposal methods is insufficient, as landfilling easily produces leachate that pollutes soil and water sources, and crude incineration releases toxic gases, causing secondary pollution; third, the operational efficiency and resource utilization are low, as the vast sea areas lack standardized zoning monitoring and intelligent route planning methods, salvage paths rely on manual experience to set, and the problems of equipment being idle and repeated voyages are prominent. Moreover, the recovered waste is only disposed of as waste, without realizing energy utilization, and pollution control projects lack sustainable economic benefits.

[0004] In the field of marine clean energy supply, traditional marine power generation technologies such as tidal energy, wave energy, and ocean current energy face significant limitations in implementation: First, the equipment has poor environmental adaptability, and floating marine debris can easily entangle core power generation components such as turbines and impellers, significantly increasing equipment failure rates and maintenance costs; second, the functions are limited, with power generation devices focusing solely on energy capture and unable to simultaneously carry out marine debris cleanup, making it difficult to meet the needs of nearshore pollution hotspots; third, the deployment threshold is high, with large-scale marine power plants having long construction cycles and huge upfront investments, making it difficult to flexibly deploy in small and medium-sized remote islands, offshore drilling platforms, nearshore aquaculture areas, and other small, independent energy-consuming scenarios, where these areas have long suffered from insufficient power supply and high costs of laying external power transmission lines.

[0005] Meanwhile, existing waste-to-energy incineration control technologies cannot adapt to the complex conditions at sea: marine debris is mixed in types and has large fluctuations in calorific value. Traditional single PID (Proportional-Integral-Derivative) control is unable to cope with the disturbances in power generation parameters caused by dynamic changes in feed volume and waste composition. It lacks time-series data prediction capabilities, has poor power generation output stability, and insufficient precision in energy loss control. Moreover, the marine debris recycling, sorting, and power generation processes are independent of each other and have not formed an integrated data linkage system. The entire process lacks a unified digital scheduling logic, resulting in low overall efficiency in governance and power generation coordination.

[0006] In summary, the industry urgently needs an integrated solution that can take into account both marine pollution control and autonomous offshore power supply, as well as intelligent collaboration throughout the entire process. Summary of the Invention

[0007] This invention provides a method, apparatus, equipment, and storage medium for marine power generation based on marine debris, enabling stable power generation through marine debris management and resource utilization.

[0008] In a first aspect, embodiments of the present invention provide a method for marine power generation based on marine debris, the method comprising: Identify and plan designated areas for marine power generation, and collect marine debris within these areas. The marine debris is used for marine power generation, and historical power generation data is collected at historical moments during the marine power generation process according to a preset period; the historical power generation data includes at least: the total amount of marine debris consumed and the effective energy generated. Based on the historical power generation data, a marine power generation control model is determined; The system acquires current power generation data during the marine debris power generation process and uses the marine power generation control model to generate control commands based on the current power generation data to control and schedule the marine debris power generation process.

[0009] Secondly, embodiments of the present invention also provide a marine power generation device based on marine debris, the device comprising: The waste recycling module is used to determine the preset marine power generation area and to recycle marine debris in the preset marine power generation area; The power generation data determination module is used to process the marine debris into marine power generation data and collect historical power generation data at historical moments during the marine power generation process according to a preset cycle; the historical power generation data includes at least: the total amount of marine debris consumed and the effective energy generated. A power generation control model determination module is used to determine an ocean power generation control model based on the historical power generation data. The power generation control module is used to acquire the current power generation data in the marine debris power generation process at the current moment, and use the marine power generation control model to generate control commands based on the current power generation data to control and schedule the marine debris power generation process.

[0010] Thirdly, embodiments of the present invention also provide an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the marine power generation method based on marine debris as described in any of the embodiments of the present invention.

[0011] Fourthly, embodiments of the present invention also provide a storage medium for storing computer-executable instructions, which, when executed by a computer processor, are used to execute the marine power generation method based on marine debris as described in any of the embodiments of the present invention.

[0012] The technical solution of this invention involves recycling and processing marine debris in a pre-defined marine power generation area, collecting historical power generation data during the marine power generation process according to a pre-defined cycle, constructing a marine power generation control model for regulating the parameters of the marine power generation system based on the historical power generation data, and then controlling and scheduling the marine debris power generation process according to the marine power generation control model, so as to achieve stable power generation that balances marine debris management and marine debris resource utilization.

[0013] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0014] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0015] Figure 1 This is a flowchart of a marine power generation method based on marine debris provided in Embodiment 1 of the present invention; Figure 2 This is a schematic diagram of the structure of a marine power generation device based on marine debris provided in Embodiment 2 of the present invention; Figure 3 This is a schematic diagram of the structure of an electronic device for implementing the marine power generation method based on marine debris according to an embodiment of the present invention. Detailed Implementation

[0016] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0017] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0018] Example 1 Figure 1 This invention provides a flowchart of a method for generating ocean power based on marine debris, as shown in Embodiment 1. This embodiment is applicable to ocean power generation based on marine debris. The method can be executed by a marine debris-based ocean power generation device, which can be implemented in hardware and / or software. This device can be configured in any electronic device with network communication and computing capabilities. Figure 1 As shown, the method includes: S110. Determine the pre-designated marine power generation area and recycle marine debris in the pre-designated marine power generation area.

[0019] In this embodiment, the preset marine power generation area is a pre-defined sea area. This preset marine power generation area can be a sea area suitable for deploying marine debris power generation equipment, with sufficient marine debris reserves and a suitable aquatic environment for waste collection, on-site incineration, and power generation operations. It includes designated operational areas such as coastal waters, waters surrounding islands, and offshore operation zones. Marine debris refers to various types of floating waste that are drifting or deposited within the designated sea area, can be collected, possess combustible calorific value, and can be used for incineration to generate electricity.

[0020] In practical applications, based on the distribution density of marine debris, hydrological environment, equipment deployment conditions, and power generation operation requirements, site surveys can be conducted in advance to delineate fixed operational areas, clarify operational boundaries and scope, and determine pre-designated marine power generation zones. Furthermore, within the designated pre-designated marine power generation zones, automated dredging equipment, floating debris collection devices, and other operational equipment can be used to carry out centralized dredging, collection, and transfer of marine debris from the sea surface and nearshore waters. This ensures the unified collection and storage of raw materials for power generation, providing a source of raw materials for subsequent sorting and incineration processes in marine power generation.

[0021] Optionally, a predetermined marine power generation area is identified, and marine debris within the predetermined marine power generation area is recycled, including: Determine the center point of the preset marine power generation area, and divide the preset marine power generation area into regions based on the center point, preset direction, and preset length to obtain at least two marine electron generation zones; each marine electron generation zone is equipped with a waste recycling device; Determine the waste collection path for each waste collection device; The waste collection equipment is controlled to collect marine debris from each marine electron-generating area according to the stated waste collection path.

[0022] In this embodiment, the center point is the selected reference positioning center point within the entire preset power generation sea area, serving as the positioning reference coordinate point for the overall area division. The preset direction is the pre-set extension direction of the sea area division, providing a fixed directional basis for the regional segmentation of the preset marine power generation area. The preset length is the pre-set extension distance of the sea area division unit, used to limit the coverage of each marine power generation area. A marine power generation area is an independent small operational sub-area after the preset marine power generation area is divided based on the center point, preset direction, and preset length; it is an independent waste collection operation unit. The waste collection equipment is a specialized operational device deployed within each marine power generation area, used for salvaging and collecting usable marine debris from the sea surface. The waste collection path is a fixed travel route planned and established for each waste collection device for marine operations including navigation, patrol, and salvage.

[0023] Specifically, within the planned marine power generation operation area, a fixed location is selected as the overall positioning center point. This location serves as the reference origin for the overall area division. Using the center point as the positioning reference, the entire sea area is divided equally or regularly according to the predetermined extension direction and predetermined length, forming multiple independent marine power generation areas. At the same time, a dedicated waste recycling device is configured for each divided sub-area, realizing a dedicated operation layout of one machine per area.

[0024] Furthermore, taking into account the sea area, debris distribution characteristics, and aquatic environment of each marine emission zone, a dedicated operating route and retrieval patrol trajectory are formulated for each debris collection device, clearly defining the operating sequence and locations. In actual marine debris collection operations, operation control commands can be issued to operate each debris collection device strictly according to the pre-planned debris collection path, completing the collection, aggregation, and unified collection of marine debris within its designated marine emission zone.

[0025] In practical applications, the number of waste collection devices within a pre-defined marine power generation area can be collected. Simultaneously, saturation-based transportation calculations are implemented, assigning a unique waste collection device to each divided marine power generation area for waste collection, thus summarizing the saturated waste collection paths. Further, these saturated paths are summarized, and any two paths in the set are merged. The resulting new path is calculated, and its cost savings compared to the sum of the paths before merging are determined. These savings are then sorted in descending order, where the savings are the difference between the total time cost of the paths before merging and the total time cost of the new path after merging. Further, a node path completion time is set, and it is analyzed whether two mergeable paths meet this time requirement. If the completion time of the merged new path meets the set time, the two paths are merged into a new path. Based on this new path, the paths in the path set are updated and iteratively merged until the completion time of the merged new path no longer meets the set time. At this point, merging stops, resulting in the final waste collection path.

[0026] In this embodiment, the sea area for operation is divided into regular areas by benchmark points and matched with dedicated recycling equipment. Dedicated operation routes are planned to carry out garbage collection in an orderly manner. This not only clarifies the scope of operation to avoid chaos, but also efficiently completes the collection of marine debris, improves the efficiency of marine debris recycling, and ensures a continuous and stable supply of power generation raw materials.

[0027] Optionally, after determining a pre-defined marine power generation area and collecting marine debris within that area, the process includes: Image data to identify recovered marine debris; Feature extraction is performed on the pixel values ​​of the image data to obtain the pixel features of the marine debris image data; Marine debris is classified according to the pixel features to obtain at least two categories of marine debris. The categories of marine debris include at least: high-calorific-value combustible marine debris, low-calorific-value combustible marine debris, high-salt corrosive combustible debris, and non-combustible hard inert debris.

[0028] In this embodiment, the image data is the visual image data of marine debris collected by the camera acquisition device, the pixel value is the numerical information corresponding to each pixel point that constitutes the marine debris image data, and the pixel features are the feature information such as color, grayscale, texture, outline, brightness and darkness that can distinguish the types of marine debris extracted from the pixel values ​​of the image data.

[0029] Among them, high-calorific-value combustible marine debris is marine combustible waste with high combustion heat release efficiency and high calorific value, which can be used as the main fuel for power generation; low-calorific-value combustible marine debris is combustible waste that can be burned but releases less heat and can only be used as an auxiliary fuel for co-firing; high-salt corrosive combustible waste is combustible marine debris with high salt content that easily produces corrosive media when burned and can easily damage equipment during incineration; and non-combustible hard inert debris is waste that cannot be burned to generate heat, has a hard texture, cannot be used for power generation, and needs to be directly sorted and removed.

[0030] In this embodiment, images of the collected marine debris can be captured to obtain complete and clear real-world image data of the debris. The collected image data can be analyzed by pixel values ​​to extract visual pixel feature information such as texture, color, and shape.

[0031] Specifically, the image data collected in real-time for marine debris recycling is divided into image data blocks of equal size. Based on these blocks, the pixel data within each block is encoded, and the encoding of the pixel data in each block is set as follows: , These represent the red, green, and blue pixel values ​​of each pixel in the image data block, respectively. The first step involves encoding the pixel data in the image data block. Next, the encoded image data block is input into a convolutional neural network (CNN) for feature extraction. Based on the pixel data in the image data block, the CNN is divided into three channels, each extracting features from the red, green, and blue pixel values ​​respectively. Furthermore, the extracted features are fused to obtain the fused image data block features. Finally, a fully connected operation is used to fuse the features extracted from the three channels to obtain the fused image data block features.

[0032] The fully connected operation is represented by the following formula: ; in, For weight parameters, This represents the features of the fused image data blocks. These represent the characteristics of the pixel values ​​for red, green, and blue colors in the image data block, respectively.

[0033] Furthermore, the features of the fused image data blocks are saved and summarized to obtain the pixel features of the image data of real-time marine debris recycling.

[0034] Furthermore, based on the extracted pixel features, automatic identification and classification are completed, and the recycled marine debris is divided into different categories such as high-calorific-value combustible waste, low-calorific-value combustible waste, high-salt corrosive combustible waste, and non-combustible hard inert debris.

[0035] In this embodiment, image feature recognition enables automatic and accurate classification of marine debris, facilitating the matching of corresponding incineration conditions and disposal methods according to different marine debris attributes, adapting to different calorific value waste ratios for combustion, avoiding the risk of equipment corrosion from high-salt waste, and removing invalid debris, thereby improving marine power generation efficiency and equipment operation safety.

[0036] S120. Perform marine power generation on the marine debris and collect historical power generation data at historical moments during the marine power generation process according to a preset cycle.

[0037] In this embodiment, the preset period is a pre-set data sampling period. The historical power generation data includes at least the total amount of marine debris consumed and the effective power generation energy. The total amount of marine debris consumed is the total amount of various types of marine debris actually used for power generation within the preset period. The effective power generation energy is the total amount of actual effective electrical energy that the marine power generation system stably produces and can be normally transmitted and utilized within the preset period.

[0038] In this embodiment, marine debris that has been intelligently sorted is put into the power generation system for incineration power generation. Various types of operational data are collected and stored synchronously throughout the power generation process. The collected data includes at least two core data: the total amount of marine debris consumed in the current period and the actual effective energy generated for power generation.

[0039] Furthermore, the historical power generation data collected during the marine debris power generation process are standardized through data standardization, and the standardized data of various parameters in the marine debris power generation process are summarized. The standardization formula is as follows: ; in, This indicates the parameters in the process of generating electricity from marine debris. This indicates the parameters in the standardized process of marine debris power generation. This represents the maximum value of a parameter in the process of generating electricity from marine debris. This represents the minimum value of the parameters in the process of generating electricity from marine debris.

[0040] In this embodiment, marine debris is used for marine power generation. Historical power generation data is collected at historical moments during the marine power generation process according to a preset cycle. This enables the resource-based energy utilization of marine debris and retains complete and accurate power generation operation data, providing reliable data support for subsequent operating condition analysis, parameter adjustment, control model training, and power generation condition prediction.

[0041] S130. Based on the historical power generation data, determine the marine power generation control model.

[0042] In this embodiment, the marine power generation control model is an intelligent regulation model for the marine waste power generation system. It is used to compare the actual operating state of the power generation system with the ideal steady-state state, automatically calculate the operating condition deviation and output precise regulation commands, and autonomously adjust the operating parameters such as marine waste feed ratio, combustion conditions and power generation load. The power generation control model can keep the entire marine waste power generation equipment in a stable, efficient, safe and economical optimal operating state, and realize the automated intelligent management and control of the entire power generation process.

[0043] Specifically, the historical power generation data collected in advance during the marine debris power generation process is preprocessed. The historical power generation data includes at least the total amount of marine debris consumed and the effective energy generated. The preprocessing process includes data cleaning, outlier removal, data normalization and standardization, filtering out invalid data caused by equipment fluctuations and sudden changes in operating conditions, and retaining effective time-series data that can truly reflect the operating rules of marine debris power generation, so as to ensure that the data foundation for subsequent model construction is accurate and reliable.

[0044] Secondly, based on the preprocessed effective historical power generation data, we will explore the correlation between marine debris consumption, effective power generation energy, and equipment operating conditions. Combining the operating characteristics of the marine debris power generation system, we will establish the ideal steady-state benchmark operating condition parameters of the marine debris power generation system and clarify the core benchmark thresholds such as the waste consumption ratio and energy output standard under the optimal operating state of the system.

[0045] Then, using the ideal steady-state reference parameter as the control target value, and combining the actual operating parameters corresponding to the historical power generation data, the operating condition deviation data at each operating moment is calculated. Furthermore, the time-series changes of various power generation parameters are extracted. Based on the operating condition deviation and time-series changes, the proportional coefficient, integral coefficient, and derivative coefficient of the PID control are adaptively tuned to complete the parameter configuration and model building of the preliminary power generation control model, thereby realizing the basic closed-loop control of power generation operating conditions.

[0046] Finally, the preprocessed historical power generation data is used as training samples to iteratively train the preset long short-term memory neural network. The network weights are continuously updated until the model error converges to the preset threshold, resulting in a fully trained long short-term memory neural network. The trained neural network is then used to dynamically predict and correct the output control quantity of the preliminary power generation control model, making up for the control lag defect of the preliminary model. By integrating basic closed-loop control and time-series trend prediction capabilities, a marine power generation control model that accurately adapts to the complex fluctuation conditions of marine debris is finally constructed.

[0047] Optionally, based on the historical power generation data, a marine power generation control model is determined, including: The total input heat is determined based on the total amount of marine debris consumed in the historical power generation data. Based on the effective energy of power generation in historical power generation data and the total input heat, the effective energy of heating and the total energy loss are determined according to the energy balance relationship. The effective energy of power generation, total heat input, effective energy of heating, total energy loss, and total amount of marine debris consumption are standardized to obtain ideal steady-state baseline data; Historical power generation energy data at historical moments during the ocean power generation process is acquired through sensors; the historical power generation energy data includes the measured total input heat, effective heating energy, total energy loss, total amount of marine debris consumed, and effective power generation energy. A marine power generation control model is constructed based on ideal steady-state baseline data and historical power generation energy data.

[0048] In this embodiment, the total input heat is the product of the total amount of marine debris consumed per unit time and the heat generated per unit weight of marine debris. The energy balance relationship can be expressed as the total input heat equal to the sum of the effective energy for power generation, the effective energy for heating, and the total energy loss. The effective energy for power generation can be expressed as the product of the generator power and the power generation time.

[0049] The ideal steady-state baseline data is calculated based on the energy balance relationship of the marine debris power generation system after data standardization. It represents the standard parameter values ​​of the power generation system under the optimal operating state with stable and efficient operation, reasonable energy consumption, and minimum loss. It includes the standard total marine debris consumption, standard total heat input, standard effective energy of power generation, standard effective energy of heating, and standard total energy loss. The ideal steady-state baseline data in this embodiment serves as a unified reference standard for the regulation of the marine power generation system. It is used to compare with the actual power generation operation data, determine whether the current operating condition deviates from the optimal state, and provide a precise basis for subsequent operating condition deviation calculation, parameter adjustment, and model control.

[0050] Historical power generation data consists of the total input heat, effective heating energy, total energy loss, total marine debris consumption, and effective power generation energy at historical moments during the marine power generation process, as measured by sensors.

[0051] Specifically, based on the total amount of marine debris consumed recorded in historical power generation data, and combined with the unit calorific value parameters of different types of marine debris, the total input heat corresponding to the marine debris incineration power generation process is calculated to characterize the total thermal energy resources input by the power generation system within a preset period. Secondly, based on the known effective power generation energy in historical power generation data and the calculated total input heat, an energy balance calculation formula for the power generation system is constructed using the energy conservation mechanism. The effective heating energy and total energy loss of the power generation system are obtained by solving the energy balance relationship. Here, the effective heating energy is the heating energy that the power generation system can effectively utilize, and the total energy loss is the sum of various energy losses during the power generation process due to heat dissipation, flue gas emissions, and incomplete combustion.

[0052] Furthermore, the calculated and statistically obtained parameters, including total input heat, effective power generation energy, effective heating energy, total energy loss, and total marine debris consumption, undergo data cleaning, normalization, and standardization. Abnormal data caused by random operating condition disturbances are eliminated, and standard values ​​of these parameters under stable operating conditions are extracted. This forms ideal steady-state benchmark data suitable for the marine debris power generation system, providing a standard reference system for subsequent operational deviation judgment and control. Simultaneously, through sensor acquisition devices deployed at various equipment terminals of the marine debris power generation system, the measured total input heat, effective heating energy, total energy loss, total marine debris consumption, and effective power generation energy of the power generation system are collected in real time at historical moments, forming complete measured historical power generation energy data that accurately reflects the actual time-series operating status of the power generation system.

[0053] Finally, the ideal steady-state reference data obtained through standardized processing is used as the optimal operating target value of the power generation system, and the historical measured power generation energy data collected by sensors is used as the actual operating feedback value. By comparing the operating condition deviation and parameter change law between the steady-state reference data and the actual operating data, a closed-loop control relationship of the power generation system is established. Combined with the data change characteristics, a marine power generation control model with both steady-state reference constraints and dynamic operating condition adaptability is constructed, realizing intelligent control and dynamic optimization of the operating parameters of the entire process of marine debris power generation.

[0054] Optionally, based on ideal steady-state baseline data and historical power generation energy data, a marine power generation control model is constructed, including: Based on the data deviation between ideal steady-state baseline data and historical power generation energy data, the operating condition deviation data is determined; The system collects and acquires the current power generation energy data at the current moment and the previous power generation energy data at the previous moment during the ocean power generation process using sensors. Based on the previous power generation energy data and the current power generation energy data, determine the change in power generation energy data; Based on the operating condition deviation data and the changes in power generation energy data, the control coefficients of the pre-set initial power generation control model are determined; the control coefficients include proportional coefficients, integral coefficients, and derivative coefficients. Substitute the operating condition deviation data into the initial power generation control model to obtain the controller output; Construct a long short-term memory neural network model with input gate, forget gate, and output gate, and set initial weights; The ideal steady-state reference data and the controller output are input into the long short-term memory neural network model, and the predicted power generation energy data at the current moment is obtained. Based on the error between the current power generation energy data and the predicted power generation energy data, and combined with a preset error threshold, the long short-term memory neural network model is iteratively trained. Based on the trained long short-term memory neural network model, the output control quantity of the initial power generation control model is dynamically corrected to obtain the marine power generation control model.

[0055] In this embodiment, the operating condition deviation data refers to the degree of deviation of historical power generation energy data from the ideal steady-state benchmark data. It indicates the difference between the actual operating parameters of the marine debris power generation system and the optimal steady-state operating parameters, characterizing the degree to which the current power generation operating condition deviates from the optimal working state and serving as the core basis for system regulation. The current power generation energy data consists of the measured energy parameters of the power generation system collected in real-time by sensors at the current moment, including real-time total input heat, effective power generation energy, effective heating energy, total energy loss, and total marine debris consumption. This data is used to provide real-time feedback on the instantaneous operating status of the power generation system. The benevolent power generation energy data consists of the measured energy parameters of the power generation system collected at the previous moment, reflecting the historical operating status of the power generation conditions and providing time-series data support for calculating parameter change trends. The change in power generation energy data represents the amplitude and rate of change of various power generation energy parameters between two adjacent historical moments, characterizing the dynamic fluctuation trend and real-time change characteristics of the marine debris power generation operating conditions.

[0056] The initial marine power generation control model in this embodiment is a PID control model built based on operating condition deviations and parameter variation patterns, using proportional, integral, and derivative coefficient tuning. This model outputs basic control commands based on operating condition deviations to achieve real-time closed-loop basic regulation of the power generation system. The controller output consists of the original control commands calculated by the initial marine power generation control model based on the operating condition deviation data, specifically equipment adjustment parameters such as waste feed rate, furnace air distribution opening, and power generation load. The predicted power generation energy data is the current-moment power generation operating condition prediction parameter output by a long short-term memory neural network model combining ideal steady-state reference data and the controller output. This parameter characterizes the theoretical operating state of the system predicted by the model.

[0057] Specifically, the difference between the ideal steady-state reference data and the historical power generation energy data is first calculated to obtain the operating condition deviation data. This accurately quantifies the deviation between the historical operating conditions of the power generation system and the optimal steady-state operating conditions, providing a basis for subsequent parameter tuning.

[0058] Secondly, by deploying various sensors in the marine debris-powered energy system, real-time data on current power generation energy and previous power generation energy are collected during the power generation process, obtaining continuous time-series measured operating parameters of the power generation system. Based on the difference calculation of the measured power generation energy data between consecutive time points, the change in power generation energy data corresponding to each energy parameter is determined, thereby reflecting the real-time fluctuation trend and dynamic change characteristics of the power generation condition.

[0059] Next, combining the acquired operating condition deviation data and changes in power generation energy data, the proportional coefficient, integral coefficient, and derivative coefficient of the initial marine power generation control model are adaptively determined, completing the configuration and construction of the control coefficients for the initial marine power generation control model. Real-time operating condition deviation data are then substituted into the initial marine power generation control model, and the corresponding controller output is obtained through calculations using the initial marine power generation control model, outputting basic power generation equipment control commands.

[0060] Then, a long short-term memory neural network model with a three-layer gating structure (input gate, forget gate, and output gate) was constructed, and the initial weights of the network were initialized, thus building a neural network framework with the ability to learn time-series features and predict trends. The preset ideal steady-state baseline data and the controller output from the initial model were used as input samples and imported into the long short-term memory neural network model. The model then processed and output the predicted power generation energy data for the current moment.

[0061] Finally, the prediction error between the measured current power generation energy data and the predicted power generation energy data is calculated. This error is compared with a preset error threshold, and the gradient descent algorithm is used to continuously iteratively update the neural network weights, constantly optimizing the model's prediction accuracy until the prediction error converges within the preset error threshold range, thus completing the training of the long short-term memory neural network model. Next, the high-precision long short-term memory neural network model after training convergence is used to dynamically correct, proactively compensate for, and optimize the trend of the original control output from the initial marine power generation control model. This overcomes the shortcomings of the initial marine power generation control model, which relies solely on instantaneous deviation adjustment and suffers from control lag. Ultimately, a marine power generation control model that balances real-time accurate correction and temporal trend prediction is obtained.

[0062] In this embodiment, the operating condition deviation and parameter changes are obtained by comparing the benchmark data and the measured data. The parameters of the basic control model are tuned and basic control commands are output. Then, a time-series neural network is built and iteratively trained. Based on its trend prediction capability, the control quantity output by the basic model is corrected. This can not only quickly adjust the operating status of the power generation system according to the real-time deviation, but also make advance control based on the prediction of operating condition fluctuations. This effectively reduces energy loss, adapts to different types of marine debris power generation operating conditions, ensures that the power generation system always approaches the optimal steady-state operating state, and improves the overall power generation efficiency and equipment operation stability.

[0063] Optionally, the initial ocean power generation control model is represented by the following equation: ; in, For controller output, For operating condition deviation data, It is a proportionality coefficient. It is the integral coefficient. These are differential coefficients. This represents the deviation data of operating conditions from time 0 to time T. The cumulative points.

[0064] In this embodiment, the controller output corresponds to the adjustment of actual equipment action parameters such as marine debris feeding speed, furnace air volume, and power generation load.

[0065] The initial marine power generation control model in this embodiment is represented by the closed-loop control formula of the marine waste power generation system. Through the coordinated operation of three control coefficients—proportional coefficient, integral coefficient, and derivative coefficient—the controller output adjustment is calculated in real time based on the deviation between the actual operating conditions and the ideal steady-state operating conditions. This is used to adjust the operating state of the power generation equipment so that the various parameters of the power generation stably approach the ideal steady-state reference value.

[0066] In actual power generation, the power generation system collects real-time data on actual power generation energy and compares it with ideal steady-state reference data to obtain operating condition deviation data. After being superimposed by proportional real-time adjustment, integral cumulative correction, and differential advance prediction, the controller output is finally calculated and sent to the actuator to complete the automatic adjustment of the power generation system parameters.

[0067] S140. Obtain the current power generation data in the marine debris power generation process at the current moment, and use the marine power generation control model to generate control commands based on the current power generation data to control and schedule the marine debris power generation process.

[0068] In this embodiment, the current power generation data refers to the real-time measured parameters of the power generation system collected by sensing devices at the current sampling time, including comprehensive operating data such as marine debris consumption, total input heat, effective power generation energy, effective heating energy, and energy loss. The control commands are execution commands output by the marine power generation control model based on the current power generation data, used to adjust the operating status of various devices in the power generation system.

[0069] Specifically, real-time data on various operating conditions during the marine debris power generation process is collected. The collected current power generation data is input into the constructed marine power generation control model. Using the marine power generation control model in conjunction with a preset ideal steady-state benchmark, after deviation calculation, trend prediction and dynamic correction calculation, precise control commands are output. Based on the control commands, the marine debris feed ratio, incineration combustion conditions, power generation output load and the operating status of supporting auxiliary equipment are uniformly controlled and intelligently scheduled. Operating parameters that deviate from the optimal state are corrected in real time to ensure the continuous, stable and efficient operation of the power generation system.

[0070] In this embodiment, closed-loop automatic management and control is achieved by relying on real-time measured operating data and a mature intelligent control model. It can quickly respond to dynamic changes in power generation conditions, flexibly adapt to the combustion characteristics of different types of marine debris, accurately control energy utilization efficiency, reduce energy waste and equipment wear and tear, and eliminate the need for frequent manual intervention throughout the process. This significantly improves the overall automation level, operational stability and actual power generation benefits of marine debris power generation.

[0071] Optionally, the marine power generation control model is used to generate control commands based on current power generation data to control and schedule the marine debris power generation process, including: The current power generation data is standardized, and then compared with the ideal steady-state benchmark data. If the deviation between the current power generation data and the ideal steady-state reference data is greater than the preset deviation threshold, the controller output in the marine debris power generation process is controlled and scheduled through the power generation control model.

[0072] In this embodiment, the preset deviation threshold is a pre-set data deviation threshold, and the controller output includes at least: waste feeding control amount, furnace combustion control amount, power generation load control amount, and auxiliary equipment control amount.

[0073] Specifically, the real-time collected marine power generation data is standardized, and then the standardized current power generation data is compared item by item with the pre-determined ideal steady-state benchmark data to calculate the operating condition deviation between the two. When the operating condition deviation exceeds the pre-set deviation threshold, it is determined that the current power generation condition deviates from the optimal operating state. The pre-built marine power generation control model is then invoked, and the controller output is adjusted based on the calculation results of the marine power generation control model. Comprehensive control and intelligent scheduling are carried out from multiple dimensions such as waste feeding rhythm, furnace combustion conditions, power generation output load, and the operating status of supporting auxiliary equipment, so as to correct the operating parameters in a timely manner and enable the various operating indicators of the power generation system to quickly return to the standard steady-state range.

[0074] In this embodiment, accurate comparison is achieved through unified data standardization. The deviation threshold is used as the control trigger condition, and intelligent adjustment is initiated only when the operating conditions deviate abnormally. This ensures the stable and normal operation of the system, and can quickly complete multi-dimensional operating condition adjustments when there are significant fluctuations in the operating conditions. It adapts to the combustion characteristics of different marine debris, effectively stabilizes the combustion state, improves energy utilization, reduces equipment wear and energy waste, and ensures the safe, efficient, economical and sustainable operation of the marine debris power generation system.

[0075] The technical solution of this invention involves recycling and processing marine debris in a pre-defined marine power generation area, collecting historical power generation data during the process according to a pre-defined cycle, constructing a marine power generation control model for regulating the parameters of the marine power generation system based on the historical power generation data, and then controlling and scheduling the marine debris power generation process according to the marine power generation control model, so as to achieve stable power generation that balances marine debris management and marine debris resource utilization.

[0076] Example 2 Figure 2 This is a schematic diagram of a marine power generation device based on marine debris, provided in Embodiment 2 of the present invention. This embodiment is applicable to marine power generation based on marine debris. The marine power generation device based on marine debris can be implemented in hardware and / or software, and can be configured in any electronic device with network communication and computing capabilities. For example... Figure 2 As shown, the device includes: The waste recycling module 310 is used to determine the preset marine power generation area and to recycle marine waste in the preset marine power generation area; The power generation data determination module 320 is used to perform marine power generation processing on the marine debris and collect historical power generation data at historical moments during the marine power generation process according to a preset cycle; the historical power generation data includes at least: the total amount of marine debris consumed and the effective energy generated. The power generation control model determination module 330 is used to determine the marine power generation control model based on the historical power generation data. The power generation control module 340 is used to acquire the current power generation data in the marine debris power generation process at the current moment, and use the marine power generation control model to generate control commands based on the current power generation data to control and schedule the marine debris power generation process.

[0077] Optionally, a predetermined marine power generation area is identified, and marine debris within the predetermined marine power generation area is recycled, including: Determine the center point of the preset marine power generation area, and divide the preset marine power generation area into regions based on the center point, preset direction, and preset length to obtain at least two marine electron generation zones; each marine electron generation zone is equipped with a waste recycling device; Determine the waste collection path for each waste collection device; The waste collection equipment is controlled to collect marine debris from each marine electron-generating area according to the stated waste collection path.

[0078] Optionally, after determining a pre-defined marine power generation area and collecting marine debris within that area, the process includes: Image data to identify recovered marine debris; Feature extraction is performed on the pixel values ​​of the image data to obtain the pixel features of the marine debris image data; Marine debris is classified according to the pixel features to obtain at least two categories of marine debris. The categories of marine debris include at least: high-calorific-value combustible marine debris, low-calorific-value combustible marine debris, high-salt corrosive combustible debris, and non-combustible hard inert debris.

[0079] Optionally, based on the historical power generation data, a marine power generation control model is determined, including: The total input heat is determined based on the total amount of marine debris consumed in the historical power generation data. Based on the effective energy of power generation in historical power generation data and the total input heat, the effective energy of heating and the total energy loss are determined according to the energy balance relationship. The effective energy of power generation, total heat input, effective energy of heating, total energy loss, and total amount of marine debris consumption are standardized to obtain ideal steady-state baseline data; Historical power generation energy data at historical moments during the ocean power generation process is acquired through sensors; the historical power generation energy data includes the measured total input heat, effective heating energy, total energy loss, total amount of marine debris consumed, and effective power generation energy. A marine power generation control model is constructed based on ideal steady-state baseline data and historical power generation energy data.

[0080] Optionally, based on ideal steady-state baseline data and historical power generation energy data, a marine power generation control model is constructed, including: Based on the data deviation between ideal steady-state baseline data and historical power generation energy data, the operating condition deviation data is determined; The system collects and acquires the current power generation energy data at the current moment and the previous power generation energy data at the previous moment during the ocean power generation process using sensors. Based on the previous power generation energy data and the current power generation energy data, determine the change in power generation energy data; Based on the changes in operating condition deviation data and power generation energy data, the control coefficients of the initial marine power generation control model are determined; the control coefficients include proportional coefficients, integral coefficients, and derivative coefficients. Substitute the operating condition deviation data into the initial power generation control model to obtain the controller output; Construct a long short-term memory neural network model with input gate, forget gate, and output gate, and set initial weights; The ideal steady-state reference data and the controller output are input into the long short-term memory neural network model, and the predicted power generation energy data at the current moment is obtained. Based on the error between the current power generation energy data and the predicted power generation energy data, and combined with a preset error threshold, the long short-term memory neural network model is iteratively trained. Based on the trained long short-term memory neural network model, the output control quantity of the initial power generation control model is dynamically corrected to obtain the marine power generation control model.

[0081] Optionally, the initial ocean power generation control model is represented by the following equation: ; in, For controller output, For operating condition deviation data, It is a proportionality coefficient. It is the integral coefficient. These are differential coefficients. This represents the deviation data of operating conditions from time 0 to time T. The cumulative points.

[0082] Optionally, the marine power generation control model is used to generate control commands based on current power generation data to control and schedule the marine debris power generation process, including: The current power generation data is standardized, and then compared with the ideal steady-state benchmark data. If the deviation between the current power generation data and the ideal steady-state reference data is greater than the preset deviation threshold, the controller output in the marine debris power generation process is controlled and scheduled through the power generation control model. The controller output includes at least: waste feed regulation, furnace combustion regulation, power generation load regulation, and auxiliary equipment regulation.

[0083] The technical solution of this invention involves recycling and processing marine debris in a pre-defined marine power generation area, collecting historical power generation data during the process according to a pre-defined cycle, constructing a marine power generation control model for regulating the parameters of the marine power generation system based on the historical power generation data, and then controlling and scheduling the marine debris power generation process according to the marine power generation control model, so as to achieve stable power generation that balances marine debris management and marine debris resource utilization.

[0084] The marine power generation device based on marine debris provided in the embodiments of the present invention can execute the marine power generation method based on marine debris provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of executing the method.

[0085] Example 3 Figure 3 A schematic diagram of an electronic device 10, which can be used to implement embodiments of the present invention, is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0086] like Figure 3 As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12 or a random access memory (RAM) 13, communicatively connected to the at least one processor 11. The memory stores computer programs executable by the at least one processor. The processor 11 can perform various appropriate actions and processes based on the computer program stored in the ROM 12 or loaded from storage unit 18 into the RAM 13. The RAM 13 can also store various programs and data required for the operation of the electronic device 10. The processor 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0087] Multiple components in electronic device 10 are connected to I / O interface 15, including: input unit 16, such as keyboard, mouse, etc.; output unit 17, such as various types of displays, speakers, etc.; storage unit 18, such as disk, optical disk, etc.; and communication unit 19, such as network card, modem, wireless transceiver, etc. Communication unit 19 allows electronic device 10 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0088] Processor 11 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, digital signal processors (DSPs), and any suitable processor, controller, microcontroller, etc. Processor 11 performs the various methods and processes described above, such as ocean power generation methods based on marine debris.

[0089] In some embodiments, the marine debris-based marine power generation method can be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program can be loaded and / or installed on electronic device 10 via ROM 12 and / or communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the marine debris-based marine power generation method described above can be performed. Alternatively, in other embodiments, processor 11 can be configured to perform the marine debris-based marine power generation method by any other suitable means (e.g., by means of firmware).

[0090] In particular, according to embodiments of the present invention, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of the present invention include a computer program product comprising a computer program carried on a non-transitory computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via communication unit 19, or installed from storage unit 18, or installed from ROM 12. When the computer program is executed by processor 11, it performs the functions defined in the methods of the embodiments of the present invention.

[0091] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), system-on-a-chip (SoCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0092] Computer programs used to implement the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0093] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0094] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0095] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or middleware components (e.g., application servers), or frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0096] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0097] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0098] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A method for generating ocean power based on marine debris, characterized in that, include: Identify and plan designated areas for marine power generation, and collect marine debris within these areas. The marine debris is used for marine power generation, and historical power generation data at historical moments during the marine power generation process is collected according to a preset cycle; the historical power generation data includes at least: the total amount of marine debris consumed and the effective energy generated. Based on the historical power generation data, a marine power generation control model is determined; The system acquires current power generation data during the marine debris power generation process and uses the marine power generation control model to generate control commands based on the current power generation data to control and schedule the marine debris power generation process.

2. The method according to claim 1, characterized in that, Identify designated marine power generation areas and collect marine debris within these areas, including: Determine the center point of the preset marine power generation area, and divide the preset marine power generation area into regions based on the center point, preset direction, and preset length to obtain at least two marine electron generation zones; each marine electron generation zone is equipped with a waste recycling device; Determine the waste collection path for each waste collection device; The waste collection equipment is controlled to collect marine debris from each marine electron-generating area according to the stated waste collection path.

3. The method according to claim 1, characterized in that, After identifying the designated marine power generation area and collecting marine debris within that area, the process includes: Image data to identify recovered marine debris; Feature extraction is performed on the pixel values ​​of the image data to obtain the pixel features of the marine debris image data; Marine debris is classified according to the pixel features to obtain at least two categories of marine debris. The categories of marine debris include at least: high-calorific-value combustible marine debris, low-calorific-value combustible marine debris, high-salt corrosive combustible debris, and non-combustible hard inert debris.

4. The method according to claim 1, characterized in that, Based on the historical power generation data, a marine power generation control model is determined, including: The total input heat is determined based on the total amount of marine debris consumed in the historical power generation data. Based on the effective energy of power generation in historical power generation data and the total input heat, the effective energy of heating and the total energy loss are determined according to the energy balance relationship. The effective energy of power generation, total heat input, effective energy of heating, total energy loss, and total amount of marine debris consumption are standardized to obtain ideal steady-state baseline data; Historical power generation energy data at historical moments during the ocean power generation process is acquired through sensors; the historical power generation energy data includes the measured total input heat, effective heating energy, total energy loss, total amount of marine debris consumed, and effective power generation energy. A marine power generation control model is constructed based on ideal steady-state baseline data and historical power generation energy data.

5. The method according to claim 4, characterized in that, Based on ideal steady-state baseline data and historical power generation energy data, a marine power generation control model is constructed, including: Based on the data deviation between ideal steady-state baseline data and historical power generation energy data, the operating condition deviation data is determined; The system collects current power generation data and previous power generation data at the current moment during the ocean power generation process using sensors. Based on the previous power generation energy data and the current power generation energy data, determine the change in power generation energy data; Based on the changes in operating condition deviation data and power generation energy data, the control coefficients of the pre-set initial marine power generation control model are determined; the control coefficients include proportional coefficients, integral coefficients, and derivative coefficients. Substitute the operating condition deviation data into the initial power generation control model to obtain the controller output; Construct a long short-term memory neural network model with input gate, forget gate, and output gate, and set initial weights; The ideal steady-state reference data and the controller output are input into the long short-term memory neural network model, and the predicted power generation energy data at the current moment is obtained. Based on the error between the current power generation energy data and the predicted power generation energy data, and combined with a preset error threshold, the long short-term memory neural network model is iteratively trained. Based on the trained long short-term memory neural network model, the output control quantity of the initial power generation control model is dynamically corrected to obtain the marine power generation control model.

6. The method according to claim 5, characterized in that, The initial ocean power generation control model is expressed by the following equation: ； in, For controller output, For operating condition deviation data, It is a proportionality coefficient. It is the integral coefficient. These are differential coefficients. This represents the deviation data of operating conditions from time 0 to time T. The cumulative points.

7. The method according to claim 1, characterized in that, The marine power generation control model generates control commands based on current power generation data to control and schedule the marine debris power generation process, including: The current power generation data is standardized, and then compared with the ideal steady-state benchmark data. If the deviation between the current power generation data and the ideal steady-state reference data is greater than the preset deviation threshold, the controller output in the marine debris power generation process is controlled and scheduled through the power generation control model. The controller output includes at least: waste feed regulation, furnace combustion regulation, power generation load regulation, and auxiliary equipment regulation.

8. A marine power generation device based on marine debris, characterized in that, include: The waste recycling module is used to determine the preset marine power generation area and to recycle marine debris in the preset marine power generation area; The power generation data determination module is used to process the marine debris into marine power generation data and collect historical power generation data at historical moments during the marine power generation process according to a preset cycle; the historical power generation data includes at least: the total amount of marine debris consumed and the effective energy generated. A power generation control model determination module is used to determine an ocean power generation control model based on the historical power generation data. The power generation control module is used to acquire the current power generation data in the marine debris power generation process at the current moment, and use the marine power generation control model to generate control commands based on the current power generation data to control and schedule the marine debris power generation process.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the marine power generation method based on marine debris as described in any one of claims 1-7.

10. A storage medium for storing computer-executable instructions, characterized in that, The computer-executable instructions, when executed by a computer processor, are used to perform the marine power generation method based on marine debris as described in any one of claims 1-7.

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