4587results about How to "Increase profit" patented technology

The invention relates to the technical field of packaging, in particular to an intelligent metering method for remnant base paper rolls of a corrugated paper board assembly line. The intelligent metering method for the remnant base paper rolls of the corrugated paper board assembly line comprises steps as follows: a plurality of base paper feeding positions are arranged in the conveying direction of the assembly line at intervals, a base paper feeding frame is arranged in each base paper feeding position, and two base paper feeding rolls located on two sides of each base paper feeding frame are arranged on the base paper feeding frame; each base paper feeding roll is provided with lap recording sensors and incremental encoders, the lap recording sensors are used for monitoring the number of paper feeding laps of base paper clamped on the corresponding base paper feeding roll, the incremental encoders are used for monitoring the length of each lap after the base paper on the base paper feeding roll passes by one lap, and the lap recording sensors and the incremental encoders are connected with a controller. Intelligent metering can be realized, the operation cost of an enterprise is reduced, labor is saved, and the utilization rate of enterprise resources is increased.

The invention discloses a multi-user sharing-oriented multimedia network video recommendation method, which comprises the following steps: firstly, constructing multi-user characteristics by utilizing collected program information in a multi-user sharing environment, and constructing a leading user label according to the similarity of the program characteristics and the continuity of user watching behaviors, so that separation of multi-user mixed logs is realized; performing periodic multi-user identification prediction of future sessions; secondly, building a user interest mining model based on a time-varying LinUCB algorithm to learn interest changes of a user for each program theme, and enhancing the personalized ability and efficiency of a recommendation system from three aspects of parallel calculation, adaptive control of an exploration coefficient and incremental updating based on LSTM; and finally, establishing an article quality model based on a non-time-varying LinUCB algorithm to further ensure the program quality, and integrating the two algorithms into a final recommendation system model by adopting a cross weighting strategy to form a final program recommendation list. The novelty and accuracy of the recommendation result are ensured.

The invention discloses a production method of distiller's grain fermentation liquid fertilizer specially applied to roxburgh rose. The distiller's grain fermentation liquid fertilizer is prepared bythe step of evenly mixing 50 to 80 parts of distiller's grain fermentation extracting solution, 0.5 to 1 part of microelement, 5 to 10 parts of seaweed meal, 5 to 10 parts of natural active organism,2 to 5 parts of potassium bicarbonate, 2 to 5 parts of natural active organism and 2 to 5 parts of natural surface active agent. A preparation method of the distiller's grain fermentation extracting solution comprises the steps: evenly stirring 50 to 80 parts of distiller's grain, 50 to 150 parts of rice washing water, 1 to 2 parts of EM microflora fermentation liquid and 0.5 to 1 part of sugar, performing composting fermentation at the room temperature to obtain a distiller's grain fermentation material, stirring and extracting through a sodium carbonate water solution, filtering and performing evaporation and condensation on obtained filtrate until the density is 1.1 to 1.2 to obtain distiller's grain fermentation extracting solution. The distiller's grain fermentation liquid fertilizerdisclosed by the invention has a good use effect, meanwhile can effectively prevent pest and disease damage to the roxburgh rose and is high-efficiency environment-friendly liquid fertilizer.

The invention relates to the technical field of drying, and discloses a solar heat collection tube heating and drying device and a tube row manufacturing method thereof.The solar heat collection tube heating and drying device comprises a first rack, and a first heat collection module is arranged on an inclined mounting platform formed by a first-stage step and a second-stage step of the first rack; a drying cavity defined by first steel plates is installed on the outer wall of the three-stage step of the first rack, and a first partition plate is arranged in the drying cavity. A second partition is arranged on the top surface of the first partition, a third partition is arranged on the side wall of the second partition, and an air delivery pipe is arranged between the third partition and the first partition; an air inlet shutter is mounted on the first steel plate, a fan opposite to the air inlet shutter is mounted on the second partition plate, and an exhaust shutter is mounted on the first steel plate; a supporting beam located above the third partition plate is arranged on the first rack, a footstand is arranged on the supporting beam, and a drying bin used for drying corn is placed on the footstand; according to the device, the solar energy utilization rate is increased through the heat collection structure, heat collection and drying chambers are reasonably partitioned, the airflow circulation path is clear, and stable drying of corn is achieved.

The invention relates to the technical field of electron energy measurement, and discloses an electron spectrometer and an electron energy spectrum measurement method and system.The electron spectrometer comprises a magnetic deflection unit used for receiving an incident to-be-measured electron beam, generating a magnetic field and applying the magnetic field to all to-be-measured electrons in the to-be-measured electron beam; the scintillator fluorescent screen is arranged at the downstream of the magnetic deflection unit and used for receiving the deflected electrons to be detected, and the electrons bombard the scintillator fluorescent screen and generate light spots; the optical acquisition unit is used for acquiring a light spot image on the scintillator fluorescent screen; and the signal processing unit is used for processing the light spot image so as to identify the spatial position information of the light spot in the light spot image and convert the spatial position information into electronic energy data. The method has the beneficial effects that the unification of high resolution and high measurement efficiency is realized, and the problem of signal accumulation under a high counting rate of a traditional direct measurement method and the inherent defect of low efficiency of a scanning type magnetic spectrometer are overcome.

The present application relates to a kind of rocket engine injector thin-wall milling self-positioning fixture and assembly method, it mainly includes upper positioning tire body component, conical surface expansion ring, tire unloading bottom plate, pressing cover plate, tire unloading lifting ring, pressing bolt, expansion screw, lower positioning bottom plate component, locking bolt, long fixed bolt, lower positioning bottom plate component is fixed in machine tool workbench by locking bolt long-term, always not disassembled.Product is positioned and clamped and supported by conical surface expansion ring, tire unloading bottom plate, pressing cover plate, pressing bolt, expansion screw before milling injector thin-wall and positioning tire body component, limit the radial and axial movement of injector thin-wall;Injector thin-wall is positioned and clamped and supported by conical surface expansion ring, tire unloading bottom plate, pressing cover plate, pressing bolt, expansion screw before milling injector thin-wall and positioning tire body component, limit the radial and axial movement of injector thin-wall;Injector thin-wall is positioned and clamped and supported by conical surface expansion ring, tire unloading bottom plate, pressing cover plate, pressing bolt, expansion sleeve before milling injector thin-wall and positioning tire body component, limit the radial and axial movement of injector thinn

The invention discloses a time sequence generation method and system based on uncertainty quantization and frequency domain constraint, and belongs to the technical field of artificial intelligence and data mining. Outputting a mean value of the completion value and a variance representing the uncertainty of the completion result; an entropy weight adaptive mask generation mechanism is constructed, a soft mask matrix of continuous values is generated according to variance and local observation density, and high uncertainty corresponds to low mask weight; constructing a mixed loss function containing time domain weighted loss and frequency domain consistency loss; and training a diffusion model based on the soft mask matrix and a mixed loss function to generate a regularized high-fidelity time sequence. According to the method, the Bayesian uncertainty quantization and soft mask mechanism is introduced, so that the problems that a binary mask mechanism in the prior art is rigid and cannot sense completion errors are solved, and meanwhile, the periodic characteristics of generated data are ensured in combination with frequency domain constraints.

The utility model belongs to the technical field of flexible structure design, and particularly relates to a perimeter-variable fuselage frame structure which comprises sliding groove sections, sliding key sections, corrugated beams, height-variable supporting columns and length-variable supporting rods. The corrugated beams are arranged on the outer sides of the sliding key sections and the sliding groove sections and are provided with wave crest and wave trough structures; the sliding key sections and the sliding groove sections are located on the inner sides of the corrugated beams, arranged at intervals and distributed in a staggered mode. The corrugated beams, the sliding key sections and the sliding groove sections are all of arc-shaped structures, and wave crests and wave troughs of the corrugated beams are arranged in the radial direction of the arc-shaped structures; the sliding key section and the sliding groove section are mutually nested to form an arc-shaped supporting sliding way, and the wave trough of the corrugated beam slides on the arc-shaped supporting sliding way; the height-variable supporting column and the length-variable supporting rod are hinged to the two ends of the sliding key section respectively. The shape of the fuselage can be greatly changed, the large-size fuselage can provide a large space to carry more fuel, and the small-size fuselage is beneficial for reducing flight resistance and improving the fuel utilization rate.

The invention discloses a multi-task electromagnetic model based on a hybrid expert network, and belongs to a wireless communication technology. The model comprises a preprocessing module, a feature extraction module, a task output module and a pre-training-fine tuning learning strategy. The preprocessing module carries out standardization processing on the multi-source electromagnetic signals; the feature extraction module is based on a Transform structure, introduces a hybrid expert network to replace part of a traditional feedforward neural network, and dynamically selects an expert sub-network through a task specific routing mechanism; the task output module configures a special structure according to different task targets; in the pre-training stage, a mask auto-encoder is used for pre-training large-scale label-free data, and a downstream task is subjected to full-amount fine adjustment through small-scale label data. According to the method, multi-task collaborative learning and differential expression are realized, and the recognition performance, robustness and processing efficiency of the model in a complex electromagnetic environment are improved.

The invention provides an elevator with a single-cylinder and double-cylinder switching mode and a using method of the elevator. The elevator comprises a first single-cylinder elevator, a second single-cylinder elevator and a rope adjusting clutch connected between the first single-cylinder elevator and the second single-cylinder elevator. The rope adjusting clutch comprises a bearing seat, a shaft seat inner gear ring and two fixed hubs, the shaft seat inner gear ring is rotationally connected with an inner ring of the bearing seat, the two fixed hubs are connected to a main shaft of the first single-drum elevator and a main shaft of the second single-drum elevator respectively, each fixed hub is connected with a rope adjusting outer gear ring capable of sliding in the axial direction of the fixed hub, and the rope adjusting outer gear rings are connected with the bearing seat. The rope adjusting outer gear ring is connected with a shifting ring, and the shifting ring is connected with a telescopic mechanism fixed to the single-barrel elevator. When the telescopic mechanism stretches out and draws back, the shifting ring drives the rope adjusting outer gear ring to be meshed with or separated from the shaft seat inner gear ring. And switching between two modes of independent operation of the two single cylinders and synchronous operation of the two cylinders can be realized.

The invention discloses a preparation process of berberine hydrochloride, and belongs to the technical field of berberine production. The invention relates to a berberine hydrochloride preparation process, which comprises: S1, mixing a ferric sulfate-aluminum sulfate composite salt, sodium chloride, zinc chloride and anhydrous formic acid, pre-activating, adding N-2, 3-dimethoxybenzyl homopiperony lamine hydrochloride, dropwise adding a glyoxal mixed solution, and carrying out a reflux reaction. And S2, cooling the reaction liquid until a solid is separated out, filtering, adding a filter cake and diatomite into purified water, stirring, adjusting alkali, heating, and continuously stirring for 0.5-1 hour. Cooling and filtering, and reserving filtrate; s3, adjusting the acidity of the filtrate, cooling and growing crystals; and filtering, rinsing a filter cake, and carrying out vacuum drying on the filter cake to obtain berberine hydrochloride. The berberine hydrochloride prepared by the method is high in yield and purity, and the preparation process is safe, short in flow and friendly to human bodies and environment.

The application belongs to the field of chip shared cache usage method, and relates to a method for sharing cache space among multiple priority queues, which divides the queues according to priorities, allocates different amounts of shared cache space for different priorities, and the allocation principle firstly guarantees the demand of high-priority queues for shared cache space; the corresponding shared cache space is allocated according to the demand of each priority queue for shared cache; the high-priority queue can occupy the idle shared cache space of the low-priority queue, and the occupation is performed according to the principle from low to high priority; a constraint condition is set, when the constraint condition is met, the low-priority queue can occupy the shared cache space of the high-priority queue, and the amount of shared cache space occupied by the low-priority queue is constrained. The application further improves the utilization of shared cache space on the basis of guaranteeing the cache space of high-priority queues.

The invention belongs to the technical field of hydrolysis hydrogen production, and particularly relates to a preparation method of a CoPx-CeO2 loaded platinum catalyst with a core-shell structure and application of the CoPx-CeO2 loaded platinum catalyst in seawater electrolysis hydrogen production. A Co (CO3) 0.5 (OH) nanorod precursor is prepared on foamed nickel through a hydrothermal method and then calcined to obtain CoPx, a CeO2 film is electrically deposited to obtain a CoPx-CeO2 composite carrier, and platinum is impregnated and loaded to obtain the CoPx-CeO2-Pt catalyst. The catalyst shows excellent hydrogen evolution catalytic activity in seawater, and the CoPx-CeO2 composite carrier prevents Pt nano-particles from being agglomerated through interaction of metal carriers, so that the atom utilization rate of Pt is increased. Meanwhile, the CeO2 film actively enriches OH <-> in an alkaline electrolyte to construct a local high-alkalinity microenvironment on the surface of the catalyst, Cl <-> in seawater is prevented from getting close to an active site corroding the catalyst through electrostatic repulsion, and the stability and durability of the catalyst are improved.

The embodiment of the invention is suitable for the technical field of artificial intelligence, and provides a re-calculation training strategy generation method, electronic equipment and a computer program.The method is applied to a heterogeneous cluster and comprises the steps that cluster information of the heterogeneous cluster and model feature information of a to-be-trained model are determined; for each storage and calculation resource in the heterogeneous cluster, according to the cluster information and the model feature information, re-calculation time information and re-calculation performance requirements are determined; determining a re-calculation time information characteristic value under the condition that the re-calculation performance demand is not greater than the performance limit value of the storage and calculation resources; and determining a recalculation training strategy for the to-be-trained model according to the recalculation time information feature value corresponding to each storage and calculation resource. According to the embodiment of the invention, the adaptive re-calculation training strategy can be determined for each storage and calculation resource of the heterogeneous cluster, and the model training efficiency and throughput are improved by adopting the re-calculation training strategy corresponding to each storage and calculation resource to carry out model training.

The invention discloses a power grid transient voltage stability control method based on power grid partition classification dynamic reactive power reserve and a medium, and relates to a power system safety and stability evaluation and transient voltage control method. The method comprises the following steps: dividing power grid partitions based on acquired power grid voltage fault data, and calculating peak faults of the power grid partitions; according to the transient voltage severity index under the peak fault, recording the minimum demand adjusted to the transient voltage stable state limit value; calculating the maximum effective quantity of the dynamic reactive power reserve according to the minimum demand quantity, and comparing the maximum effective quantity with the minimum demand quantity to evaluate the transient voltage state of the system; and outputting a power grid partition dynamic regulation instruction to control a system operation point regulation state through the coordinated optimization control model based on the dynamic reactive power reserve minimum demand quantity. According to the method, the minimum demand quantity of the dynamic reactive power reserve is taken as a transient voltage stability constraint, a partition classification dynamic reactive power reserve coordinated optimization control model for improving transient voltage stability is constructed, and the transient voltage stability of a power grid is improved.

The invention discloses a large model reasoning hardware accelerator based on data flow execution, and belongs to the technical field of large model reasoning hardware acceleration. Each node comprises a linear calculation kernel used for sequentially completing query / key / value projection and attention output projection in multi-head attention calculation, dimension raising projection and dimension reduction projection calculation in a feedforward neural network layer, and inverse quantization operation after each projection is output; the multi-head attention calculation kernel is used for completing loading and quantization of query / key / value vectors, multi-head division and cache management, attention score calculation, Softmax normalization, context vector generation and KV cache updating; the RLA kernel is used for completing residual addition, layer normalization, quantization / inverse quantization and nonlinear activation calculation of each layer; the three cores in the same node are located in the same SLR area, and data transmission is carried out through a hardware queue and an HLS blocking mechanism. According to the invention, high hardware utilization rate and low-delay reasoning can be realized.

The invention provides a traffic generation method and device, electronic equipment, a storage medium and a computer program product, and relates to the technical field of cloud computing, and the method comprises the steps: obtaining a traffic generation rule; wherein the traffic generation rule is used for representing the structure, the content and the sending mode of the target data packet; respectively generating a data packet header and a data packet load based on the traffic generation rule, and combining and verifying the data packet header and the data packet load to determine a target data packet; and sending the target data packet.

The invention discloses a global neural drawing method and system oriented to hybrid representation optimization, and belongs to the technical field of computer graphics, and the method comprises the steps: dividing a screen into a plurality of tiles, and obtaining a first workload index on each tile in a first drawing stage and a second workload index on each tile in a second drawing stage; generating a cross-tile and cross-stage unified scheduling queue based on the first workload index and the second workload index, and executing the drawing tasks on different tiles in parallel according to the unified scheduling queue; and triggering a subsequent feature fusion and neural global illumination drawing stage when the inter-stage dependency condition is met so as to generate an output image with a global illumination effect. According to the method, the end-to-end frame rate oriented to the modern AI accelerator / AI-GPU can be remarkably improved and the tail delay can be reduced on the premise of ensuring the visual quality and the time sequence stability, and the method is suitable for application scenes such as real-time global illumination, large-scale complex scene drawing and interactive neural rendering.

The invention discloses a multi-agent cooperation method, system and device based on shared memory data, and a medium, mainly relates to the technical field of multi-agents, and aims to solve the problem that a traditional reasoning system cannot recognize semantic similarity between requests and cannot sense a context relationship of agent tasks, so that the efficiency is improved. The intelligent agent system is often deployed at multiple nodes, and the cache result cannot be shared across the nodes. Comprising the steps of obtaining an output result and an intermediate result generated by each path node; caching the semantic signature and the output result to a preset result cache layer; caching an intermediate result generated by each path node as context information to a preset context cache layer; and according to a preset time window, detecting inference frequencies of different semantic signatures generated by all the agents, and according to the inference frequencies, adjusting storage time of output results corresponding to the semantic signatures in a preset result cache layer.

The embodiment of the invention discloses a breakpoint continuous migration method and device for heterogeneous database distributed migration and a medium, belongs to the technical field of heterogeneous database migration, and solves the problems that after heterogeneous database migration is abnormally terminated, the whole migration process is usually restarted, resources are calculated, and the total migration time is prolonged. Comprising the steps that a system service node carries out persistence on migration execution information, and a migration service node carries out persistence on execution task information; in response to abnormal interruption of the system service node and / or the migration service node, after the system service node and / or the migration service node are / is recovered, the system service node determines a completed execution task and an uncompleted execution task based on the persistent migration execution information; starting a breakpoint continuous migration process, and redistributing the determined uncompleted execution task to a migration service node by the system service node; and the migration service node checks whether an uncompleted execution task is completed or not based on the execution task information, and returns an execution result to the system service node.

The invention provides a neural network multi-objective optimization and FPGA hardware acceleration collaborative design method, and belongs to the field of deep learning model compression and hardware collaborative design. The method comprises the following steps: constructing a joint optimization space containing a neural network compression parameter and an FPGA hardware design parameter; a multi-target Bayesian optimization search strategy is adopted, iterative search is carried out in the joint optimization space, model precision, FPGA resource occupation and reasoning delay are synchronously optimized, and optimal candidate configuration is obtained; matching the compressed network structure with the FPGA parallel architecture by using a hardware-perceived pruning and quantification strategy; a multi-task performance prediction model is adopted to quickly predict the precision, resource occupation and delay of the optimal candidate configuration so as to accelerate the search process; according to the optimal configuration, a hardware accelerator code facing the target FPGA is automatically generated, and integration and implementation are completed. According to the method, collaborative optimization of neural network compression and hardware design is achieved, FPGA resource occupation can be remarkably reduced, the reasoning speed can be increased, and meanwhile the model precision is kept.

The invention provides a low-sulfur manganese-silicon alloy and a production method thereof.The method comprises the steps that silica, coke and manganese ore are crushed and then mixed with lime, and smelting raw materials are obtained; a closed electric furnace is filled with smelting raw materials for smelting, and alloy melt is obtained; the alloy melt is transferred into a ladle, a desulfurizing agent is added for the desulfurization process, and manganese-silicon alloy molten iron is obtained; and the manganese-silicon alloy molten iron is poured into a mold for ingot casting, and a manganese-silicon alloy finished product is obtained after cooling. According to the method, the method capable of effectively reducing the sulfur content in the manganese-silicon alloy is provided through the steps of raw material crushing and mixing, in-furnace power transmission refining, out-of-furnace desulfurization, casting molding and the like, the low-sulfur manganese-silicon alloy is produced, and therefore control over the sulfur element content in a steelmaking product is facilitated.

The invention relates to the technical field of fluidized beds, in particular to a fluidization coating device with pulse, stirring and double-particle triple synergy, which comprises a spray fluidized bed reactor, a fluidized bed reactor, a stirring device and a double-particle fluidized bed reactor, the gas distributor is positioned above the carrier gas inlet and is used for uniformly distributing carrier gas entering from the carrier gas inlet on the whole bed layer to form fluidized gas; the gas-liquid two-phase flow nozzle is connected with the gas supply unit and the coating liquid conveying tank and is used for atomizing the coating liquid into micron-sized small liquid drops and then spraying the micron-sized small liquid drops into the spray fluidized bed reactor; the mechanical shearing unit continuously generates local mechanical crushing on the aggregate; the pulse air inlet device is connected with the air supply unit and is used for applying periodic pulse airflow to the fluidized bed layer and breaking particle aggregation and channeling formed during initial fluidization; and the flow aiding particles and the fine powder particles to be coated jointly form a double-particle fluidization system. The problems of difficult fluidization starting, non-uniform fluidization and the like of ultrafine powder particles are solved through triple synergy of pulse, stirring and double particles.

This utility model relates to the field of floating wind power, and more particularly to a floating offshore wind power integration system based on fishery-wind complementarity. It includes a floating platform, a wind turbine system, an aquaculture system, and a suction caisson. The aquaculture system includes aquaculture nets. The wind turbine system is located above the floating platform, and the aquaculture nets are located below the floating platform. The suction caisson is connected to the floating platform. Wind power is provided through the wind turbine system, and fishery aquaculture is carried out through the aquaculture system, achieving fishery-wind complementarity integration. Furthermore, the design of the suction caisson ensures the stable arrangement of the entire system. The overall structure utilizes longitudinal sea space, has the characteristics of wide applicability to various sea areas, strong stability, and high energy utilization rate, and is expected to be widely used in the field of floating offshore wind power.

The invention provides a unified computing power management and control platform and method.The computing power management and control platform is integrated with a plurality of intelligent computing centers in different position areas through a unified northbound interface, a resource management module abstracts physical resources of the intelligent computing centers into virtual resource data, and a unified resource pool is constructed; the data acquisition module receives operation monitoring data of each intelligent calculation center and preprocesses the operation monitoring data; the resource sensing module is used for constructing a dynamic resource portrait for the uniform resource pool based on the preprocessed operation monitoring data; the task sensing module performs resource constraint and service quality demand analysis on a calculation task submitted by a user, and constructs a task portrait; the resource scheduling module forms a resource scheduling decision result according to the dynamic resource portrait and the task portrait; and the resource arrangement module performs resource scheduling and calculation task allocation according to the resource scheduling decision result. The overall utilization rate of the heterogeneous computing power cluster is remarkably improved, and the island effect of a traditional resource pool is broken through.

The invention provides a wooden door three-dimensional model parameterization design and numerical control code generation method and system, and relates to the technical field of woodworking numerical control machining and computer vision. A multispectral imaging technology is adopted at a raw material feeding station to obtain a wood board surface multiband image, and a high-definition wood characteristic spectrum is generated through algorithm processing; establishing a mapping rule base of the atlas and numerical control parameters in combination with historical data; the map and the three-dimensional embossment model are superposed, and a tool path and cutting parameters are adaptively adjusted according to texture features to avoid defects and optimize along grains; and finally, numerical control codes matched with wood characteristics are generated, the rotating speed of the main shaft is adjusted according to the hardness, a numerical control machine tool is driven to complete high-precision wooden door machining, and precise numerical control machining based on wood surface characteristic intelligent recognition and self-adaptive adjustment can be achieved.

The invention discloses an iron tower monitoring collaborative data processing method based on cross-modal data association, and relates to the technical field of iron tower operation and maintenance, and the method comprises the following steps: deploying a high point monitoring device, an unmanned aerial vehicle and an unmanned vehicle at an iron tower in advance; the method comprises the following steps: performing standardized preprocessing on video streams and radar point clouds acquired by high-point monitoring, RGB images acquired by an unmanned aerial vehicle, an infrared thermodynamic diagram, laser point clouds, ground laser point clouds acquired by an unmanned vehicle and vibration data, mapping multi-modal data to a unified three-dimensional coordinate system, extracting common features and associated features through an improved Transform model, and judging effective associated data. According to the method, the core problem of cross-modal data fusion is solved by adopting a space-time correlation and feature correlation two-dimensional model, and multi-modal information such as video frames, point cloud data and vibration signals collected by different devices is mapped to the same space-time dimension by unified three-dimensional coordinate system construction and timestamp accurate alignment. And the originally isolated data is enabled to generate spatial relevance.

The invention discloses a data center combined cooling heating and power supply system based on mixed hydrogen energy and a control method thereof, and the system comprises a hydrogen source supply and storage module which is used for inputting hydrogen for power generation, a power generation and energy supply module which is used for converting the hydrogen into electric energy, and a DC micro-grid module which is used for providing the electric energy for a data center. The heat management and application module is used for recycling and applying heat generated during power generation, and the control and protection module is used for controlling the modules. According to the invention, hydrogen energy efficient power generation, waste heat cascade recovery and intelligent scheduling are realized through modular cooperation, the problems of high carbon emission, response delay and energy waste in the prior art are solved, and the system has the advantages of significantly reducing carbon emission, optimizing electric energy use efficiency, improving power supply continuity and energy utilization rate, and simultaneously realizing combined supply of cooling, heating and power.

The invention provides a wave position dynamic transfer method, system and device based on inter-satellite linkage and a medium, and the method is executed by an overload satellite and comprises the steps: judging whether a self load is overloaded or not; if the load is judged to be overloaded, selecting a to-be-transferred wave position from self-managed wave positions; acquiring state information of the adjacent satellites through inter-satellite interaction with the adjacent satellites; based on the obtained state information, determining a target satellite capable of bearing a to-be-transferred wave position from adjacent satellites having coverage overlapping with the target satellite; negotiating with the target satellite through an inter-satellite link to confirm beam position transfer, and triggering the target satellite to adjust the beam to cover the to-be-transferred beam position; and after negotiation confirmation, controlling the user equipment in the to-be-transferred wave position to be switched to the target satellite, and releasing the wave position resources. By adopting the method, the communication delay of the user equipment can be reduced, the throughput of the user equipment and the constellation resource utilization rate can be improved, and the service quality and user experience of a satellite communication system can be comprehensively optimized.

This invention provides a slow-release feed device for marine aquaculture, relating to the field of marine aquaculture technology. It includes a rotating drum, a drum cover, and a fixed shaft. A rotating impeller is mounted on the rotating drum, which is connected to the drum cover to form a cylindrical space. The fixed shaft passes through the central axis of the rotating drum and drum cover and is rotatably connected to them. A cake holder, a feed cake, and a cake brush are installed within the cylindrical space. The cake holder is fixedly connected to the fixed shaft, and the feed cake is mounted and fixed on the cake holder. The cake brush rotates synchronously with the rotating drum, brushing the surface of the feed cake to accelerate slow release. Utilizing ocean currents or the up-and-down movement of seawater, the rotating impeller drives the rotating drum to rotate, which in turn drives the cake brush to continuously brush the slow-release flocculated layer formed on the surface of the feed cake. This effectively accelerates the diffusion and release of feed particles, solving the problem of excessively long natural slow-release time for feed cakes and their inability to pass through a 150-mesh or finer silk sieve, thus meeting the needs of aquaculture such as oyster farming.