28results about How to "Increase income" patented technology

This invention relates to the field of *Glechoma heliotropium* cultivation technology. It relates to a soilless cultivation method for *Glechoma heliotropium*, using oak sawdust, wheat bran, corn flour, glucose, magnesium sulfate, potassium dihydrogen phosphate, and gypsum as culture medium raw materials to prepare mycelium logs. *Glechoma heliotropium* is inoculated into bagged culture medium and cultured under suitable conditions to achieve stable fruiting. This invention allows for the large-scale production of *Glechoma heliotropium* fruiting bodies, which can be promoted and applied as a natural functional food, and the active substances can be extracted for use in health products or pharmaceuticals.

The application belongs to the technical field of online transaction, and discloses a blockchain integral transaction method, system, device and storage medium. The blockchain integral transaction method comprises the following steps: generating a payment code and a repurchase gold account for a merchant; receiving and executing a payment transaction sent by a user and transferring repurchase gold to the repurchase gold account; receiving an integral exchange request of the user; triggering a transaction when the accumulated amount of repurchase gold in the repurchase gold account is greater than or equal to a trigger value, repurchasing all integrals with the repurchase gold until the repurchase gold is exhausted or the qualified integrals are completely repurchased. The application breaks the mode of only active buy orders in the traditional integral transaction system, creates passive buy orders of consumption orders, links online and offline consumption scenes, changes the traditional active buy and sell transaction into an order repurchase passive buy and sell transaction mechanism, and can promote consumption, increase additional income of consumers, improve customer return rate, increase customer stickiness and stimulate user consumption.

This application relates to the field of flexible resource aggregation technology, and particularly to a method, apparatus, and device for accurate modeling and approximation of feasible regions for flexible resource aggregation. The method includes: detecting the actual type of each flexible resource on the demand side of the power grid; constructing a single feasible region model for each flexible resource based on its actual type, and aggregating all single feasible region models to generate an aggregated feasible region model; selecting at least one constraint parameter from the constraint parameters of the aggregated feasible region model that satisfies a preset condition, and constructing an approximate feasible region model of a preset type based on the at least one constraint parameter; determining the actual allocation ratio of each flexible resource using the approximate feasible region model; and scheduling each flexible resource according to the actual allocation ratio. This solves the problems of related technologies having a relatively simple consideration of the aggregated feasible region, failing to ensure the smooth allocation of flexible resources, and having high computational complexity.

This invention provides a method for promoting early flowering of mangoes and its application, belonging to the field of mango cultivation technology. The invention includes the following steps: after the autumn shoots turn dark green, spray the autumn shoots with glucose solution 1, then subject them to the first ultraviolet (UV) light irradiation; after the first UV light irradiation, perform the first water control; one month after the first UV light irradiation, spray the autumn shoots with glucose solution 2, then subject them to a second UV light irradiation; after the second UV light irradiation, perform a second water control; 6-8 days after the second UV light irradiation, spray the leaves with a compound solution of potassium nitrate and ammonium nitrate; two weeks after spraying the compound solution of potassium nitrate and ammonium nitrate, spray a mixture of glucose solution 3, potassium nitrate solution, and amino acid trace element water-soluble fertilizer. This invention can promote early flowering of mangoes, enabling early fruit ripening and market availability, avoiding the peak market season for mangoes; it also avoids the high temperatures during flowering and the seasonal drought during fruit enlargement, ensuring high and stable yields in the orchard.

This application provides a battery pack reconfiguration method, electronic device, storage medium, and program product. The method includes: acquiring battery pack-level data for each battery cluster in a target energy storage system, including the capacity retention rate and state of charge of the cells; calculating the capacity retention rate of each battery pack in the target energy storage system based on the "weakest link" principle; exchanging and reconfiguring the batteries in the target energy storage system to obtain the change in capacity retention rate of the target energy storage system after the exchange and reconfiguration; and determining the corresponding battery pack reconfiguration scheme for the target energy storage system based on the change in capacity retention rate. This method aims to fully utilize the energy storage capacity of existing batteries in the energy storage system without adding additional energy storage units, reducing the bottleneck effect, increasing the overall discharge capacity of the system, and improving the profitability of the power station. By exchanging and reconfiguring the batteries in the energy storage system, the difference in capacity retention rate is reduced, and the capacity retention rate of each level of the energy storage system is balanced.

The application discloses a click rate prediction method and device, computer equipment and a storage medium, the method uses a crawler technology to crawl dynamic information in a preset time range; the preset time range is determined according to the historical statistical time; entity recognition and intent feature extraction are performed on the dynamic information to obtain entity recognition results and intent extraction results; the information industry label is determined according to the entity recognition results, and whether the information industry label and the target industry label are the same is determined; when the information industry label and the target industry label are the same, industry sentiment analysis is performed on the entity recognition results and the intent extraction results to obtain sentiment analysis results; the historical click rate wave band diagram is predicted according to the sentiment analysis results to obtain a predicted click rate wave band diagram. The application improves the accuracy of click rate prediction, and improves the feasibility and accuracy of the advertisement placement scheme recommendation.

This invention relates to the fields of mobile internet, online travel, and hotel booking technology. Specifically, it discloses a method and system for online booking of high-end hotel presidential suites based on a blind box mechanism. This invention generates a list of available blind boxes based on user location, behavior, and preference data, supporting filtering by city, brand, price, and keywords. After the user sets a budget, the system provides a real-time reference success rate to assist decision-making. The user pays a deposit to lock the order, and the system automatically manages the order status and refund logic. Orders are confirmed through automatic or manual matching. After the final payment is completed, an electronic voucher is generated, and the hotel verifies the check-in information, achieving a closed-loop order process. The system supports anomaly handling and risk control to ensure an intelligent, personalized, and secure booking process. The system provides anomaly handling and risk control mechanisms to ensure automated order processes, fund security, and consistent user experience. This invention achieves intelligent, personalized, and closed-loop management of high-end hotel presidential suite bookings.

The application discloses a kind of photovoltaic power station capacity matching ratio calculation method and device.The calculation method can realize: by the first set and the second set are crossed combination and obtain the multiple combination numbers of coupling multi-factor, and coupling is obtained in the total power generation of each combination number corresponding preset period in combination with the two major influencing factors of the electric parameter of energy storage system and the light abandonment quantity of photovoltaic power station, the calculation precision of the total power generation of each combination number corresponding preset period can be improved by the coupling effect of multi-factor, in turn be favorable to improve the calculation precision of subsequent capacity matching ratio.And according to the total power generation of each combination number corresponding preset period of higher calculation precision and preset index, target combination number meeting preset index condition can be accurately screened, so as to accurately determine capacity matching ratio according to target combination number, in turn ensure the rationality of capacity configuration, improve the income of photovoltaic power station installation energy storage, improve on-grid power.

The present application relates to the technical field of power system energy storage, in particular to a pumped storage and new energy storage collaborative market participation benefit optimization system, comprising a data acquisition and preprocessing module that acquires multi-source heterogeneous data and generates a standardized data set; a market information and policy analysis module that constructs market constraints and policy constraints; a collaborative scheduling optimization module that constructs and solves a multi-objective collaborative optimization model with the goals of maximizing comprehensive benefits, minimizing operating costs, and maximizing carbon emission reduction, generates a joint scheduling strategy; a benefit calculation and intelligent distribution module that calculates collaborative incremental benefits and performs compliance distribution; a strategy execution and closed-loop optimization module that quantifies execution deviation and benefit deviation, triggering online iterative updating of the model. The present application also integrates a pumped storage power station distribution module to achieve fair cross-regional allocation of capacity electricity charges, and a cold region adaptation control module to use pumped storage waste heat to keep new energy storage warm.

This invention discloses a stock price trend prediction method based on multi-level dynamic graph fusion, relating to the fields of financial technology and artificial intelligence data analysis. The method mainly comprises three parts: multi-channel temporal feature extraction, collaborative modeling of macro and micro spatial structures, and multi-level feature fusion prediction. The steps include: First, constructing a multi-channel technical indicator sequence based on historical stock trading data, and using a multi-channel attention pooling GRU network to extract differentiated temporal features in parallel; Second, constructing a stock association hypergraph based on industry and concept labels, introducing graph information loss (GIL) as a feedback signal to drive an adaptive hyperedge reconstruction mechanism, dynamically adjusting hyperedge weights to filter noise and capture macro market hotspots; Simultaneously, constructing a simple graph within the hyperedge and combining contrastive learning constraints to semantically align stocks with similar technical patterns to enhance the discriminative power of micro local features; Finally, integrating macro hypergraph features and micro simple graph features through a cross-graph fusion module, concatenating them with temporal features, and inputting them into the prediction layer to complete the prediction of the stock price trend at the next moment. This method overcomes the limitations of existing static graph models in dynamically capturing high-order stock correlations and fine-grained technical pattern resonances, providing a new approach for financial spatiotemporal data mining.

The application discloses a perovskite solar cell containing a double-layer trifluoroacetate modification layer and a preparation method thereof. The perovskite solar cell comprises, from bottom to top, a conductive glass, an electron transport layer, an electron transport layer modification layer, a perovskite layer, a perovskite modification layer, a hole transport layer and an electrode; the electron transport layer modification layer and the perovskite modification layer are one of methylamine trifluoroacetate, formamidine trifluoroacetate, dimethylamine trifluoroacetate, ethylamidine trifluoroacetate, ethylenediamine trifluoroacetate and guanidine trifluoroacetate. The application simultaneously fills and modifies defects of the electron transport layer and the perovskite layer, passivates oxygen defects in the tin oxide and ion vacancies in the perovskite layer through hydrogen bonds and chemical interactions, and solves the problems of the perovskite solar cell, such as many defects in the electron transport layer and the perovskite layer, low efficiency and poor stability.

The utility model discloses a kind of dodecahydrate trisodium phosphate flash cooling crystallization systems, sodium phosphate solution incoming pipe outlet is connected with the hot side entrance of array tube heat exchanger, and the hot side outlet of array tube heat exchanger is connected with the feed inlet of primary flash crystallizer;Primary flash lower cylinder circulation outlet is connected with upper cylinder circulation inlet by primary flash circulating pump;The crystal slurry outlet of primary flash crystallizer is connected with the circulation pipe of secondary flash crystallizer by primary flash material transfer pump;The crystal slurry outlet of secondary flash crystallizer is connected with thickener by secondary flash material transfer pump, and thickener overflow is connected with array tube heat exchanger cold side;Thickener bottom outlet is connected with centrifuge, and centrifugal solid phase connects product chute;Centrifugal liquid phase outlet is connected with mother liquor tank, and mother liquor tank outlet is connected with secondary flash crystallizer circulation pipe by mother liquor pump.The system is low in energy consumption, the obtained crystallization product granularity is uniform, high in purity, reduces waste liquid treatment capacity, realizes the recycling of resources, and improves economic benefit.

This invention discloses a D2D computation offloading optimization method and apparatus based on spectrum sharing, belonging to the field of mobile edge computing technology. It includes: constructing utility functions for demanding users, idle users, and base stations, and establishing a three-party utility optimization model; dividing the resource optimization process into three optimization sub-problems; solving the three optimization sub-problems using an inner-layer two-level game optimization algorithm under a given task offloading strategy; updating the task offloading strategy using an outer-layer offloading strategy optimization algorithm, which first uses GS stable matching to obtain the initial value of the offloading strategy, and then performs feasible improvement searches through swapping, replacing, and adding operations; cyclically solving sub-problems and updating the strategy until a preset termination condition is met, outputting the optimized task offloading strategy, channel allocation strategy, channel unit price, computational resource size, and computational resource unit price. This method can improve the comprehensive utility of demanding users, idle users, and base stations while protecting the interests of primary users, and is suitable for MEC collaborative computing and D2D offloading scenarios under spectrum scarcity conditions.

The utility model provides a kind of carbon dioxide heat pump and fused salt heat storage system of low-grade heat conversion into high-grade heat, including carbon dioxide circulation subsystem, water circulation subsystem and fused salt circulation subsystem, the carbon dioxide circulation subsystem includes first heat exchanger, regenerator, compressor, second heat exchanger and expander;The water circulation subsystem includes cold water tank, material cooler and hot water tank, and the material to be cooled passes through the material cooler;The fused salt circulation subsystem includes low-temperature fused salt tank, high-temperature fused salt tank and material heater, and the material to be heated passes through the material heater.The system recycles and utilizes the low-grade heat of the material to be cooled using carbon dioxide heat pump, and heats the material to be heated after converting into high-grade heat, realizes the utilization and conversion of heat. By recycling and utilizing the low-grade heat of the material to be cooled, the consumption of circulating water is reduced, and gas can be replaced, reducing carbon emissions.

A dynamic decision-making method and system for unmanned aerial vehicle (UAV) safety strategies is disclosed. The method includes: continuously monitoring historical data sequences of at least one state parameter in the UAV system; predicting the expected time-to-failure (TTF) for the state parameter to reach a preset critical value based on the historical data sequences; triggering an early warning and evaluating strategies in a candidate strategy set using a two-layer evaluation mechanism before the predicted failure occurs, when the TTF is less than or equal to an early warning time threshold N; and obtaining a recommended strategy list when the TTF is less than or equal to a pre-execution time threshold M; and executing the highest-priority strategy in the recommended strategy list without external intervention; wherein the early warning time threshold N is greater than the pre-execution time threshold M. This invention aims to overcome the shortcomings of existing technologies and achieve a leap from passive response to proactive management through trend prediction, quantitative evaluation, and tiered early warning.

The invention provides a multifunctional intelligent agricultural robot based on AI motion control and visual identification, and belongs to the technical field of agricultural intelligent equipment.The multifunctional intelligent agricultural robot comprises a hardware system and a software system, and the hardware system adopts a core control layer, a sensing layer, an execution layer and an auxiliary layer; the software system adopts modular design of an ROS system program module, a visual system, a navigation system, water and fertilizer management and the like, and the ROS system program module and the visual system cooperatively complete integrated operation of watering, fertilization, crop growth detection and fruit picking through a data bus. The laser and vision fusion navigation technology and the improved EKF algorithm are adopted, the improved YOLOv8 algorithm is carried, the fruit maturity recognition accuracy is high, the double six-degree-of-freedom mechanical arms conduct cooperative picking, and the damage rate is low; the accurate water and fertilizer management system realizes high water resource utilization rate. The robot has the advantages of integrated functions, high operation precision and strong environmental adaptability, greatly reduces the labor cost and resource consumption, improves the economic benefits of agricultural production, and is suitable for various agricultural operation scenes such as orchards and farmlands.

The utility model relates to a material changing device field discloses an AGV automatic connection material changing device, including the AGV dolly of one side of rack and the clamping jaw and clamping plate of rack top, the inside of rack is equipped with the clamping plate, is equipped with the transportation structure below clamping plate, is equipped with the material roll tray between transportation structure, still is equipped with paper tube storage subassembly above transportation structure, one side of paper tube storage subassembly is equipped with the connection clamping jaw structure, and the clamping plate is connected through the guide rail and rack. Make the clamping jaw can reach telescopic in any direction, conveniently carry the waste paper tube that the clamping jaw is completed to the paper tube storage subassembly between clamping plate, complete the processing to waste paper tube, do not need manual change it, improve the material changing efficiency, the inside of synchronous belt is connected through L type board carrier material receiving frame, when the AGV dolly carries the material roll to the guide rail between, the material roll is placed on the carrier material receiving frame, through motor and synchronous belt, automatically carry the material roll to below clamping plate, supply clamping plate to clamp and go on and put, simple and convenient fast.

This invention provides the application of *Streptomyces alogie* in sugarcane preservation, relating to the field of sugarcane preservation technology. Sugarcane tops and leaves treated with *Streptomyces alogie* fermentation broth can effectively slow down the loss of chlorophyll and water, exhibiting a good preservation effect. This further slows down the loss of moisture and nutrients when sugarcane tops and leaves are used as silage, extending the storage period to 10 days, while remaining safe for humans and animals. Sugarcane stalks treated with *Streptomyces alogie* fermentation broth can slow down the rate of decay and spoilage during transportation and storage, extending the storage period to 30 days, thus achieving the goal of long-term sugarcane preservation and providing significant economic and social benefits for industrial development.

A construction method of a MARK III type liquefied natural gas transport ship, which utilizes a small dock or a free area of a dock, adopts a watertight structure design meeting structural strength, divides a MARK III type liquefied natural gas transport ship into two sections (to become a bow half section and a stern half section) by taking an isolated empty cabin between any cargo cabin as a boundary, adopts a floating butt joint mode to form a whole ship after completing a ballast cabin strength test, and carries out each process of a cargo containment system after butt joint. The whole ship is floated out of the dock after the main hull is formed and the shaft rudder system is constructed, and the remaining cargo containment system is constructed during a wharf mooring stage, so as to reduce an underwater construction period. The construction method utilizes a small dock or a free area of a dock to construct a liquefied natural gas transport ship, and makes a cargo containment system have a construction condition in advance, shortens a construction period of the whole ship, efficiently utilizes core resources of ship construction, reduces a total construction period of the ship, and reduces construction cost.

The present invention discloses a method, system and device for edge computing resource sharing based on coalition game, which includes that an edge server collects all device nodes and their task information in the network to form an edge computing network; setting a coalition structure and establishing an initial single-device coalition structure C i , where i ∈ 1, 2, …, n; modeling the utility function of the device nodes; setting the coalition game and the preference operation relationship, and selecting an improved coalition structure C j , and calculating the coalition revenue V(C j ); obtaining the stable coalition structure set C * , until no coalition structure changes, stop the iteration; reaching the stable coalition structure set C * , obtaining the overall system offloading strategy, and the game reaches equilibrium. It can maximize the task completion rate of all device nodes, solve the problem that all tasks are submitted to the edge server resulting in task blocking and processing failure, relieve the computing pressure caused by its resource limitation, and at the same time enable all device nodes to obtain the maximum benefit, improving the overall efficiency and benefit of the system as well as the satisfaction of all parties.

This invention discloses a multi-winding motor conductive ring structure, stator, and wind turbine generator. The motor conductive ring structure includes U, V, and W phase conductive ring groups. These three phase groups are arranged in rings from the outside inwards, with spacing between them, and are located on the same horizontal plane. Each phase group consists of 2N full-circle windings and 2N minor-arc windings. The virtual circle spacing formed by every two minor-arc windings is located between two full-circle windings. All conductive rings are located on a concentric circle, forming 4N sets of windings, evenly divided into two groups. Each group is individually connected to a corresponding converter. This invention divides multiple sets of windings into two equal parts. By combining full-circle windings and minor-arc windings, the winding current located within the two semicircles is introduced into the same converter, achieving redundancy design and uniform motor stress, avoiding vibration, noise, and other faults. It also reduces axial length and material usage, thereby reducing the unit's weight and manufacturing cost.

The utility model discloses a kind of photovoltaic controller parallel matching battery management equipment, it is related to new energy technology field, comprising: battery management system;Photovoltaic controller, it is equipped with multiple, the output end of multiple photovoltaic controller is electrically connected to the input end of battery management system;CAN communication module.The photovoltaic controller parallel matching battery management equipment, by the use of CAN communication module, the working operating state of battery pack can be obtained, then adjust the output current of each photovoltaic controller in parallel system, to reach the best charging output current, realize the stable parallel operation of multiple controller system, current control, to ensure that the reasonable distribution of current stress and thermal stress between module, the photovoltaic controller parallel matching battery management equipment can effectively utilize photovoltaic energy, improve the utilization of photovoltaic panel, increase income, initiative and passive combination protect the safety of lithium battery, increase the service life of lithium battery.

The present application belongs to the technical field of power dispatching, in particular to a cascade hydropower medium and long-term contract decomposition method and system considering multi-source information uncertainty. The original power generation data of cascade hydropower stations and the price data of CCER are collected, typical scenarios of the power generation data of cascade hydropower stations and the price of CCER are generated through Latin hypercube sampling method and clustering algorithm, and S typical scenario sets are obtained through pairwise combination; the clearing price of the spot market is estimated according to the power load data; the total contract power of the cascade hydropower station is decomposed according to the power load curve to obtain the contract power at each time; a cascade hydropower medium and long-term contract decomposition optimization model considering the spot market price and the CCER price is established with the maximum expected revenue of the spot market as the target, the constraint conditions of the model include the cascade hydropower hydraulic constraint, the hydropower station power generation power constraint, the contract power decomposition constraint and the CCER transaction constraint; and the optimal contract power decomposition curve is obtained by solving the model.

This invention discloses a low-carbon automated intelligent control system for refrigeration and snowmaking, relating to the field of refrigeration technology. It acquires image data of the surface of a cold air blower using a mobile industrial camera and performs preprocessing. The preprocessed image data is converted to the HSV color space, and adaptive threshold calibration is performed based on component differences. Frost layer regions are initially separated. The frost layer candidate regions are input into a deep convolutional neural network configured with three parallel feature extraction branches for color, contour, and brightness. A three-dimensional mutual reward function is embedded into a pre-set frost physical model based on heat and mass transfer principles to calculate the frost coverage rate. An equivalent thermal resistance model for the fins is established based on the frost coverage rate to calculate the deviation of the actual refrigeration system's energy efficiency ratio from the theoretical frost-free state. Based on the multi-dimensional features output by the frost layer identification module, the influence coefficient of frost thickness on heat exchange efficiency is calculated. An energy efficiency scheduling algorithm based on a reward function dynamically calculates and outputs the optimal defrosting intervention command.

The utility model belongs to the technical field of medical treatment and public health, and particularly relates to a device capable of stabilizing intestinal tracts in vitro in colonoscopy, which comprises a bellyband main body. The bellyband body is wound on the belly through bonding of the first male hook-and-loop fastener and the first female hook-and-loop fastener, the steam injection expansion portion is reserved, and the pressing ball is bonded to the steam injection expansion portion through the second female hook-and-loop fastener and the second male hook-and-loop fastener. After the position of the pressing ball is adjusted, the inflatable latex ball is pressed to inject steam, a balloon switch on the inflatable latex ball is closed after fixation, and the balloon switch is deflated and taken down after examination is finished, the examination time is obviously shorter than that of a traditional method for fixing the intestinal canal by pressing the abdomen in vitro through a nurse, and the method has obvious advantages in improving various efficiencies, reduces the examination risk, reduces the pain of a patient and improves the examination efficiency. The patient satisfaction degree is improved, the endoscope entering difficulty of doctors is reduced, the examination time is shortened, the day examination number of patients is increased, the patient turnover rate is increased, hospital income is increased, and the workload of nurses is relieved.

The application discloses a power distribution network-shared energy-multiple microgrid optimization scheduling method based on multi-agent game, and particularly relates to the following: a multi-microgrid shared energy multi-objective optimization configuration model is constructed by taking into account the energy storage investment cost and load fluctuation; a multi-objective particle swarm optimization algorithm is used to solve the multi-microgrid shared energy multi-objective optimization configuration model, and the charging and discharging power of the energy storage to each microgrid is obtained through optimization; a one-master-two-slave game scheduling model is established, in which the power distribution network is the master, and the multiple microgrids and the shared energy are the followers; a genetic algorithm embedded with a solver is used to solve the one-master-two-slave game scheduling model, and the optimal scheduling scheme is obtained. The application constructs a one-master-two-slave multi-agent game scheduling framework, which is conducive to promoting the cooperation and coordination among the power distribution network, the shared energy and the multiple microgrids, realizing the cooperation of the three-party scheduling, and further realizing the balanced distribution of the interests of the power distribution network, the shared energy and the multiple microgrids, so as to improve the overall benefit.

This invention discloses a radar anti-jamming decision-making method that combines online domain optimization with intra-domain decision-making. It aims to address the problems of low anti-jamming benefit values ​​in traditional radar anti-jamming decision-making methods and their inability to adapt to scenarios with numerous jamming states and a large number of anti-jamming measures. The implementation steps of this invention include: determining the radar anti-jamming decision domain online using template matching technology; generating an anti-jamming benefit value sequence; and generating anti-jamming decision results within the radar anti-jamming decision domain. This invention, while ensuring decision-making performance, directly selects the anti-jamming measure with the highest anti-jamming benefit value sequence as the anti-jamming decision result, greatly improving time efficiency and anti-jamming benefit, and facilitating practical application.

The application discloses a kind of virtual power plant optimization scheduling method considering carbon trading and demand response, steps include: establishing considering carbon trading and demand response of virtual power plant and the master-slave framework of centralized photo-thermal power station;Formulate the step-by-step carbon trading mode of virtual power plant;Virtual power plant demand response model is constructed based on power load and heat load characteristics;The master-slave game model of distribution system operator-virtual power plant is constructed;Solve master-slave game model, the result value of decision variable is as virtual power plant optimization scheduling strategy, and the virtual power plant is controlled to execute optimization scheduling strategy.The present application can make system carbon emission and total cost be reduced, while increasing distribution system operator income, improve the low-carbon economic benefit of virtual power plant.