501 results about "Energy control" patented technology

The invention discloses a source-grid-load-storage integrated coordinated management and control system for an intelligent micro-grid, and relates to the technical field of intelligent micro-grids and comprehensive energy regulation and control. The system comprises the following components: a multi-energy-flow data acquisition unit, a multi-energy-flow coupling modeling and optimizing unit, a multi-energy-flow gradient utilization execution unit, a mode self-adaptive switching unit and a main control unit, according to the invention, through a multi-energy flow coupling modeling and optimization unit, an electric-thermal-gas multi-energy flow coupling model comprising a heat supply network transmission loss calculation sub-model is constructed, a renewable energy consumption constraint sub-model is additionally arranged, and an improved hybrid particle swarm optimization algorithm is adopted to carry out dynamic optimization solution, so that an optimal scheduling strategy is generated; according to the strategy, the consumption rate of renewable energy sources is increased, electricity-heat gradient utilization and efficient configuration are achieved through a heat energy distribution priority regulation and control mechanism and efficiency optimization control of the waste heat recovery module, and dependence of heat loads on electric energy is remarkably reduced.

The invention relates to the technical field of ship energy control, and provides an energy efficiency optimization scheduling method for a marine SOFC heat recovery system, and the method comprises the steps: dynamically distributing an SOFC waste heat path through a heat energy distribution optimization algorithm according to the type of a current ship operation condition, and for a high-load condition, taking a propulsion power demand as a priority target, and carrying out the optimal scheduling of the SOFC waste heat path; the SOFC waste heat is preferentially guided into a ship power position to assist in propelling; for a medium load working condition, SOFC waste heat is distributed to auxiliary propulsion and life service energy according to a preset proportion, and the preset proportion is finely adjusted according to real-time requirements; and for a low-load working condition, the SOFC waste heat is preferentially introduced into life service energy, and the distribution sequence and proportion are dynamically adjusted according to environmental parameters. A machine learning classification model matched with a multi-threshold rule is introduced for working condition recognition, and recognition of different working conditions is achieved; by constructing a dynamic heat energy scheduling mechanism, dynamic optimal allocation of SOFC waste heat among different energy utilization paths is achieved, and the flexibility and adaptability of heat energy utilization are improved.

The invention relates to the technical field of high-temperature alloy additive manufacturing, and discloses a method for preparing a low-crack-sensitivity nickel-based high-temperature alloy through selective laser melting and application of the low-crack-sensitivity nickel-based high-temperature alloy. And selective laser melting forming treatment is conducted on the core-shell structure powder, specifically, regional laser scanning, interlayer pulse pressurization and in-situ heat treatment are conducted, and the low-crack-sensitivity nickel-based high-temperature alloy is obtained. According to the invention, synchronous regulation and control of microcrack closing and nanophase precipitation are realized through design of core-shell structure powder, laser regional dynamic energy control scanning of hot lines and interlayer in-situ densification. By means of the method, the SLM forming crack density can be reduced to be smaller than or equal to 0.1 mm / mm, the anisotropy index is smaller than or equal to 1.05, the post-treatment hot isostatic pressing link is omitted, and the method can be applied to thin-wall high-cycle fatigue parts such as aero-engine flame tubes and aerospace turbine pump rotors.

The invention discloses a buried pipe temperature response calculation method considering underground water seepage and ground temperature gradient, and belongs to the field of building environment and energy application engineering.The buried pipe temperature response calculation method comprises the steps that a shallow buried pipe heat exchanger is regarded as a finite long-line heat source model, and when underground water seepage passes, the shallow buried pipe heat exchanger is regarded as a finite long-line heat source seepage model; an energy control equation containing a soil heat conduction item, an underground water seepage convection item and a ground temperature gradient correlation item at the same time is established, and initial temperature distribution based on ground temperature gradient, ground surface fixed wall temperature and boundary conditions of an underground limited boundary are set; and finally, obtaining an analytical solution expression of the change of the temperature at any position of the underground soil along with the time through analytical solution. According to the method, the defect that a traditional model ignores key environmental factors is overcome, the heat transfer process of heat conduction and convection coupling can be accurately simulated, the accuracy of temperature field prediction and the reliability of long-term performance evaluation are remarkably improved, meanwhile, the complexity of numerical calculation is avoided, and the calculation efficiency is improved.

The invention discloses an energy control method and device for a flying vehicle, electronic equipment and a readable storage medium. A solar cell layer, a heat insulation layer and a thermoelectric power generation layer are sequentially integrated on the surface of the flying vehicle from top to bottom, and the method comprises the steps of obtaining first electric energy converted by the solar cell layer in response to the fact that the flying vehicle is located in a light environment, and obtaining second electric energy converted by the heat insulation layer in response to the fact that the temperature difference between the flying vehicle and the external environment is larger than a first preset temperature difference threshold value; acquiring second electric energy converted by the thermoelectric power generation layer; performing voltage conversion on the first electric energy to obtain first target electric energy, and performing voltage conversion on the second electric energy to obtain second target electric energy; charging a battery of the flying vehicle based on the first target electric energy and the second target electric energy; the electrical energy stored in the battery is distributed to the electrical load based on an energy consumption demand of the electrical load of the flying vehicle. The technical problem that the energy source of the flying vehicle is single is solved.

The invention relates to the technical field of intelligent medical instruments, in particular to an intelligent microwave physical therapy device and a control method thereof.The device comprises a microwave physical therapy device body and a microwave generating and radiating unit used for generating and radiating microwave energy to the focus area of a patient; the multi-mode sensing unit is used for monitoring body position information of a patient and temperature information of a treatment area in real time; the motion execution unit is used for adjusting the spatial position of the microwave generation and radiation unit according to the body position information; and the control unit is connected with the microwave generation and radiation unit, the multi-mode sensing unit and the motion execution unit, and is configured to be used for controlling the motion execution unit to adjust the microwave radiation area according to the body position information and adjusting the output power of the microwave generation and radiation unit according to the temperature information. According to the scheme, the safety of the treatment process and the accuracy of energy control are guaranteed, and the burn risk is effectively avoided.

The invention discloses a power control method for a hybrid power engineering vehicle and the engineering vehicle. The hybrid power engineering vehicle comprises a range extender system and a power battery. The method comprises the steps that vehicle working condition information and the charge state of a power battery are obtained; determining a current applicable power distribution mode according to the vehicle working condition information and the charge state; the power distribution mode refers to a control strategy for managing the output power of the range extender system and the power battery; and executing a power distribution mode to coordinate the output power of the range extender system and the power battery. Thus, based on the real-time running state and the energy state of the vehicle, the most suitable energy control strategy is dynamically and intelligently determined and executed, it can be ensured that instantaneous power outbreak and long-term fuel consumption economy can be flexibly considered in the vehicle running process, the balance between the power performance and the economy of the whole vehicle is achieved, and the vehicle safety is improved. And the energy management efficiency and the energy utilization level of the whole vehicle are improved.

The invention discloses an energy control method and device based on an optical diesel storage micro-grid system and a medium. The invention relates to the field of energy management, and solves the problem of consumption of diesel generator feedback residual electricity and photovoltaic feedback electricity in a factory and the problem of reducing the demand electric charge of the factory. Whether feedback electricity is generated or not is recognized through power grid home-entry load data, once it is judged that the feedback electricity exists and energy storage does not reach the preset upper limit, energy storage charging is immediately controlled, redundant electric energy such as the feedback electricity of the diesel generator test stand and photovoltaic residual electricity is stored, and the problems that the feedback electricity cannot be connected to a grid and consequently waste is caused and photovoltaic light is abandoned are solved; when no feedback electricity exists, whether the energy storage state of charge (SOC) is lower than a preset lower limit or not is judged to avoid over-discharge, then charging is triggered in combination with the conditions that the load power is smaller than or equal to a peak clipping threshold value in a low ebb period, and low-cost energy storage is conducted through the valley electricity; and when the load exceeds a peak clipping threshold value and is in a non-low-ebb period, discharging is triggered, and the load peak demand is matched. In addition, when the load peak or the load exceeds the peak clipping threshold value, power supply is supplemented through energy storage discharge, and the cost is reduced.

The invention discloses a coagulation and bipolar coagulation integrated control system for a surgical operating instrument, and relates to the field of medical equipment. The system comprises an interface module, an energy detection module, a storage module, a load model matching module and an energy output control module. According to the system, an energy detection signal is output to a surgical instrument before energy output, and a real-time biological impedance spectrum of a target object is obtained; determining a target model from pre-stored electrical load models according to the impedance spectrum, and calling a corresponding adaptive energy output strategy; and in the energy output process, the impedance change of the target object is monitored, and the energy parameters are dynamically adjusted, so that the energy output is automatically stopped after the impedance change conforms to the preset stable target state. The self-adaptive precise energy control based on the real-time state of the tissue is realized, the problems of tissue carbonization, adhesion or incomplete coagulation and the like are effectively avoided, and the operation safety and effect are improved.

The invention relates to a port micro-grid energy control strategy considering incomplete information, and the strategy is technically characterized in that the time-of-use electricity price of a power grid, the parameters of a micro-grid operator and the like are set, and a data source is determined; scene sampling is carried out, and uncertain information in micro-grid operation is converted into a computable deterministic scene; establishing a Bayesian-Stackelberg game model under incomplete information by taking a power transaction agent as a main body and a micro-grid operator as a slave body; a follower model constraint is established by considering port berth distribution, and a KKT condition is established for a follower model so that the double-layer game model can be converted into a single-layer optimization model; and solving the model by using a CPLEX solver to obtain an optimal electricity price and an energy control strategy of each scene. According to the method, the uncertainty of port micro-grid information is considered, port operation constraints, berth distribution strategies and the like are comprehensively considered, the economy of micro-grid operation is considered while the port logistics transportation efficiency is ensured, and a port micro-grid energy control strategy considering incomplete information is provided.

The invention relates to the technical field of laser welding, and discloses a femtosecond laser thin film precision welding system and method. According to the system and method, through dynamic energy density adjustment, self-adaptive light spot track planning, multi-material welding parameter collaborative optimization and real-time quality monitoring feedback, the problems that in existing femtosecond film welding, energy control is not accurate, light spot track adaptability is poor, and multi-material welding quality is not stable are solved. And through an innovative algorithm and system design, the welding precision, efficiency and material adaptability are remarkably improved, and an efficient solution is provided for high-precision thin film welding.

A robotic system includes a plurality of input control devices configured to be operated by an operator, a display device, and a controller coupled to the plurality of input control devices and the display device. The controller is configured to: determine a dynamic mapping, the dynamic mapping identifying at least a first association, the first association being between a first input control device of the plurality of input control devices and a first function, the first function being of a plurality of functions of a first instrument, the robotic system configured to support the first instrument; cause the display device to display a first user interface element, the first user interface element indicative of the first association; receive input from the first input control device; and cause, based on the dynamic mapping, the first function to be performed by the first instrument.

The invention relates to the field of laser processing, and particularly discloses a fillet structure laser shock peening residual stress control method based on energy compensation, which comprises the following steps: accurately measuring and quantifying residual stress fluctuation and a tensile stress area caused at a fillet in the prior art, and setting a peening target according to the residual stress fluctuation and the tensile stress area; laser parameters and geometric parameters are systematically identified, and a database covering the combination of the laser parameters, the geometric parameters and material parameters and corresponding residual stress results is constructed through experiments and simulation; and based on the constructed database, establishing a relationship between parameters and stress, and obtaining a simplified empirical formula for laser energy compensation from the relationship. The energy control formula extracted by the control method can accurately guide processing parameters with different geometrical characteristics, so that the uniformity of residual stress distribution is fundamentally ensured, and harmful tensile stress at the fillet is effectively eliminated. Through accurate control of an empirical formula, raw materials and working hours consumed by repeated trial and error in a traditional process are avoided.

The invention discloses a wind turbine generator component life probability prediction method and system, and a wind power plant energy control method and system. The prediction method comprises the steps of constructing a state space model of a degradation process of a wind turbine generator component; acquiring real-time state information of the component; inputting the real-time state information into the state space model, evaluating the degradation state of the component by adopting a sequential data assimilation algorithm, and outputting posterior probability distribution of the degradation state; and based on the posterior probability distribution, forward simulating a future degradation path of the component by adopting Monte Carlo simulation until the future degradation path exceeds a preset failure threshold, and obtaining residual life probability distribution of the component. According to the method, the personalized residual life of each unit can be accurately evaluated, and an innovative wind power plant energy management control strategy is created on the basis, so that the absolute maximization of the full-life-cycle economic benefit of the wind power plant in a complex market environment is realized.

The invention relates to the field of numerical control machining and computer-aided manufacturing software, and particularly discloses a honeycomb core six-axis ultrasonic cutting track digital control and interpolation optimization system which comprises a track preprocessing module, a parameterized spline interpolation module, a six-axis linkage inverse solution module, a dynamic feed-forward compensation module, an ultrasonic energy adaptive control module and a multi-source information fusion and decision module. By the adoption of the technical scheme, smooth and efficient interpolation of a track, dynamic feed-forward compensation of motion errors and self-adaptive adjustment of cutting energy can be achieved, and therefore the machining precision, the surface quality and the system stability are improved. According to the invention, ultrasonic energy control is originally incorporated into an overall trajectory control closed loop, and real-time accurate regulation and control of cutting energy are realized through the ultrasonic energy adaptive control module. The module is based on force, amplitude, temperature and other multi-sensor information, adopts fuzzy reasoning to intelligently decide output power, and ensures that cutting energy is constant and optimal under different processing conditions.

An energy control system employing agentic machine learning techniques to intelligently manage hydrogen production and storage, solar energy production, and interfacing with external systems such as the grid and virtual power plants (VPPs). In accordance with various embodiments of the present invention, a hydrogen storage assembly includes an electrolyzer, a hydrogen storage system, a hydrogen fuel cell, an inverter, an electrochemical energy storage module (e.g., batteries), a power conversion system, and a control system incorporating machine learning techniques, such as reinforcement learning models used to train a set of specialized agents configured to intelligently handle surplus and deficit power conditions during on-grid and off-grid states. The systems and methods may be used, for example, to optimize energy distribution based on behavioral metadata and to implement a fractal grid architecture.

The invention provides an energy management method, electronic equipment and a vehicle, and belongs to the technical field of energy management of vehicles. By adopting the technical scheme provided by the embodiment of the invention, the target driving condition of the vehicle is determined on the basis of the obtained speed information including the average speed of the vehicle in the preset time period and the highest speed of the vehicle in the preset time period, and then discretization processing is performed on the related parameters corresponding to the equivalent consumption minimization strategy on the basis of the target information. On one hand, the current target driving working condition of the vehicle can be accurately identified by combining the average speed and the maximum speed, and on the other hand, the energy management problem in the vehicle is associated with the real-time driving working condition or other target information, so that the matching of the energy control strategy and the actual working characteristics of the power system of the vehicle is realized; according to the method, discretization processing can be accurately carried out on parameters in the ECMS using process, the fuel economy of the vehicle under different driving working conditions is improved, and the precision of energy management is improved.

The invention discloses an ecological restoration device for promoting assimilation and purification of plankton by direct-drive rotary oxygenation in the field of ecological restoration, which comprises an aeration platform, a purification unit, a floating bed for planting aquatic plants and a carrier filler for microbial adsorption, an energy storage unit, a water supply unit, a water supply unit and a water supply unit, comprising a vertical wind driven generator, a solar power generation panel and an energy storage battery, and the control unit comprises a controller and a dissolved oxygen monitoring probe used for monitoring dissolved oxygen in a water body; the energy storage battery supplies energy to the control unit and the air blower. The invention provides an ecological restoration device for promoting assimilation and purification of plankton through direct-drive rotary oxygenation, the device can be directly driven to rotate by using reaction torque of aeration, the device not only can reduce loss of energy conversion, but also can recover energy of aeration airflow, and a controller intelligently controls oxygenation and aeration and adjusts the growth microenvironment of aquatic organisms, so that the ecological restoration device is suitable for ecological restoration of aquatic organisms. The assimilation purification effect is achieved.

The invention discloses a laser therapeutic instrument control method, equipment, a product and a medium, and relates to the technical field of medical instrument control. According to the method, an action area is divided into a plurality of operation units, and a reflection spectrum and a scattering spectrum of each operation unit are acquired in real time by utilizing a detection light beam, so that optical characteristic information of the tissue is accurately obtained; extracting multi-dimensional absorption characteristic parameters including a wave band absorption coefficient, a scattering attenuation coefficient and an effective penetration depth; a dose response function constructed based on the parameters can accurately represent a nonlinear mapping relation between the input laser energy and the actual absorbed dose; differential laser input parameters are reversely calculated through dose equalization processing, so that operation units with different optical characteristics can receive corresponding target absorbed doses; and finally, the laser therapeutic instrument executes operation according to the differentiated parameters, so that accurate energy control on areas with different optical characteristics is realized, and the effectiveness of laser treatment is improved.

The invention relates to an energy output self-adaptive adjustment method and device, computer equipment and a storage medium, and is applied to intelligent scalp care equipment, the intelligent scalp care equipment comprises an energy output unit and a controller, and the controller is used for executing the steps of the energy output self-adaptive adjustment method of the intelligent scalp care equipment; the energy output self-adaptive adjustment method of the intelligent scalp care equipment comprises the following steps: acquiring a scalp health state of a user, wherein the scalp health state comprises at least one of a hair quality type, an alopecia degree or an alopecia type; determining target irradiation energy based on the scalp health state; and controlling the energy output unit based on the target irradiation energy. According to the method, personalized and precise scalp care can be realized, so that the scalp health state is better improved.

To provide a control unit capable of charging a portable teaching device while using an industrial robot and its control device.SOLUTION: The control unit 1 includes the control device 10 that controls the industrial robot 30, which is a collaborative robot, and the portable teaching device 20 that teaches the operation of the industrial robot 30 through wireless communication, and the control device 10 includes the power transmission coil 12 disposed inside the control device 10 so as to face the 11a of the wall portion of the housing 11 of the control device 10. The teaching device 20 has a power reception coil 22 magnetically coupled to the power transmission coil 12 and a storage battery 23 for storing power generated by the power reception coil 22 inside the teaching device 20, and the control device 10 and the teaching device 20 have positioning mechanisms 14, 24 for detachably positioning the power reception coil 22 at a position opposed to the power transmission coil 12.SELECTED DRAWING: Figure 2

This invention discloses a coordinated control system and method for a megawatt-level photovoltaic-storage-charging microgrid, belonging to the field of integrated energy management and microgrid control technology. The system includes a grid interface, a photovoltaic power generation array, a large-scale energy storage system, a charging pile cluster, and a microgrid management system. The method constructs a five-layer efficient control logic system comprising a prediction layer, an energy control layer, a load control layer, an operation layer, and a value-added layer. Its core lies in using the power balance equation as a basis to dynamically adjust the charging and discharging power of the energy storage system, thereby maximizing the absorption of photovoltaic output, accurately managing grid demand, and adaptively adjusting the charging load. This invention introduces the concept of a photovoltaic discharge threshold that matches the physical start-up characteristics of photovoltaics. Based on the dynamic control logic of charging photovoltaics with power ramping, it achieves the operational goal of photovoltaic power utilization exceeding 70%, significantly reducing charging costs and improving the overall economy and reliability of the system.

The application discloses an energy system control field and discloses a safe and economic electric-thermal comprehensive energy control method, which comprises the following steps: predicting renewable energy and multi-element load in a comprehensive energy system through a pre-trained SA-PSO-BP neural network, and controlling the comprehensive energy system according to the predicted structure of the renewable energy and the multi-element load; the training process of the SA-PSO-BP neural network comprises the following steps: pre-processing and screening related features to obtain optimal features and constructing a feature training set; constructing an objective function of a BP neural network and adding power network constraints and heat network constraints of optimal scheduling; training the BP neural network through the feature training set, iteratively updating the weight and threshold of the BP neural network by using a simulated annealing optimization particle swarm SA-PSO algorithm in the training process, and obtaining the SA-PSO-BP neural network; and the application adjusts the weight in the objective function so that the control of the comprehensive energy system considers safety and economy.

A method for controlling an energy-based surgical instrument includes: activating an energy control signal at a subtherapeutic level; measuring a system response at the subtherapeutic level; adjusting one or more parameters based on the system response; and then activating the energy control signal at a therapeutic level according to the determined parameters. The subtherapeutic signal and the therapeutic signal may be ultrasonic energy or radio frequency (RF) energy and / or a combination of ultrasonic energy and RF energy. Controlled parameters may include mode, cycle time, power (e.g., ultrasound end-effector displacement), or crest factor. Other embodiments are described and claimed in this invention.

The invention relates to the technical field of pressure vessel manufacturing, and discloses a spherical tank welding stress reduction process with coupling preheating and interlayer temperature control, which comprises the following steps: preheating a to-be-welded area of a spherical shell plate before welding; multi-layer and multi-pass welding is conducted through a small heat input welding method, in the welding process, self-adaptive heat input control is executed based on geometrical characteristics of a standard linear area, a T-shaped intersection area and the like of a weld joint path, and meanwhile the interlayer temperature between all welding passes is strictly controlled; a symmetric welding method and a segmented back welding method are adopted to balance deformation; and finally, a tempering welding bead with low linear energy is welded on the cover surface layer. According to the method, through in-situ, zoning and multi-stage coordinated regulation and control of welding heat input, formation of hard and brittle structures is effectively restrained, the performance of a heat affected zone is optimized, the residual stress peak value of a welding joint, especially a geometric discontinuous region, is remarkably reduced, and the process does not need overall heat treatment after welding, so that the production cost is reduced. The manufacturing period is shortened; and the production cost is reduced.

This invention discloses a high-efficiency laser interferometric transceiver dichroic film with good space environment tolerance, belonging to the field of optical thin film technology. The dichroic film has a multifunctional beam-splitting film deposited on the front side of a fused silica substrate, and a thermal stress-free antireflection film deposited on the back side. The front film system uses TiO2 and SiO2 as high and low refractive index materials, and is designed with a main film system based on a back-cutoff filter superimposed with a multi-layer energy control structure to achieve efficient reflection of 1550±10nm laser light; and eliminates half-wave apertures by matching asymmetric equivalent layers to ensure neutral beam splitting in the 750-900nm band. The back film system is composed of Ta2O5 and SiO2, which not only efficiently eliminates residual reflections (ghost images) but also compensates for surface distortion caused by the front film layer. This laser interferometric transceiver dichroic film exhibits good spectral stability and can withstand the harsh environment of direct exposure to geostationary orbit. It can also be used for spectral and energy control of other laser rangefinders.

The invention relates to the technical field of waste lithium battery recycling, in particular to a battery pole piece laser separation device and method. The laser processing device is provided with a tensioning and unfolding mechanism and a multi-axis laser control mechanism, the tensioning and unfolding mechanism forms a compression roller clamping cavity through compression roller feeding assemblies at the two ends of a rack, and the double clamping cavities synchronously clamp the unwound battery pole piece, so that the battery pole piece is kept tensioned in a laser processing area; and the latter drives the laser to move in a three-dimensional space according to a predetermined route by a mobile end with the laser, and the electrode material and the current collector are separated in a non-contact laser lift-off mode. Dust pollution caused by physical grinding is avoided from the source, mechanical contact is avoided, a current collector cannot be damaged, machining precision is guaranteed through pole piece tensioning, efficient stripping of an electrode material is achieved through laser precise energy control, precise recycling of the material can be achieved in cooperation with sorting, the recycling purity and value are improved, the green and clean production requirement is met, and the device is suitable for large-scale recycling operation.

The invention discloses a high-power-density driving and energy control integrated electromechanical servo mechanism. Control drive components are integrated into an intelligent microsystem through the SIP stacking technology, high integration and miniaturization of a control driver are achieved, and the problems of heat dissipation and heat conduction are solved by attaching the metal adapter plate to the surface of the shell. The semi-solid lithium ion battery pack is used as an energy part, the appearance of the battery pack is designed according to shell structure matching, and the total envelope size is reduced. Meanwhile, the peak current output capability of the power supply is fused with a motor acceleration control method, and the regenerative electric energy absorption capability of the power supply is fused with a motor deceleration control method; a driver direct current bus input filter capacitor and a power supply output capacitor are fused, power supply output current and voltage detection and driver bus voltage monitoring are fused, and the optimal design of energy control driving comprehensive performance is achieved.

The invention discloses a multi-energy collaborative predictive control method and system based on digital twinning, and relates to the technical field of industrial control. The method comprises the following steps: inputting each energy historical load of a plurality of historical periods and meteorological prediction data of a next period into a trained LSTM prediction model to carry out multi-energy load prediction, and outputting to obtain each energy load prediction value of the next period; constructing an optimization model, and solving the optimization model to obtain a preliminary scheduling plan; performing simulation deduction on the control instruction in the preliminary scheduling plan to obtain a pre-estimated system state in the next period; if the simulation deduction result is deviated from expectation, correcting the preliminary scheduling plan based on the state of a next-period pre-estimated system to obtain a final control instruction set; the problem of endogenous feedback circulation caused by the fact that prediction depends on a control execution result in existing multi-energy control is solved, sawtooth-shaped deviation between a predicted value and an actual value is avoided, and safe and efficient operation of a multi-energy system is achieved.

Disclosed in the present invention are a wave energy control and allocation method and system for offshore aquaculture, comprising: acquiring aquaculture cycles of sub-aquaculture zones of an offshore aquaculture zone, sorting remaining aquaculture cycles of the sub-aquaculture zones in an ascending order, and obtaining a plurality of working cycles on the basis of a sorting result; obtaining predicted wave energy production within a following working cycle by means of a preset neural network model; obtaining an importance coefficient value sorting result of the aquaculture zones by means of a preset RFE model; and on the basis of device types of aquaculture devices, aquaculture zones where the aquaculture devices are located, the predicted wave energy production, and the importance coefficient value sorting result, sequentially adjusting operating cycles and operating powers of first-type aquaculture devices, second-type aquaculture devices, and third-type aquaculture devices. In the present invention, by establishing a prediction model, the wave energy production within the following working cycle can be predicted in advance, and then operating plans of the aquaculture devices are arranged on the basis of a prediction result, thereby avoiding the waste or shortage of resources.