72results about How to "Efficient development" patented technology

The invention relates to a commanding height analysis method and system based on double spatial indexing, and the method employs a double index construction method through an index construction link, i.e., constructing double indexes of a tile quadtree and a triangular patch K-D tree, thereby achieving the quick positioning of a triangular patch intersecting with a ray in a live-action three-dimensional model. By means of the powerful operational capability of a computer, potential hidden danger commanding height points along the security and protection route can be accurately found, the commanding height point calculation efficiency is greatly improved, the practical feasibility of completing large-scale commanding height point calculation based on a live-action three-dimensional model is enhanced, and security and protection work is promoted to be developed more scientifically and efficiently.

The invention relates to the technical field of new materials, in particular to a dot matrix composite origami structure based on a hierarchical strategy and a preparation method thereof, the dot matrix composite origami structure comprises a plurality of dot matrix cell elements, and the dot matrix cell elements are periodically arrayed in three mutually perpendicular coordinate axis directions based on the origami structure to form a closed geometrical shape. The method has the beneficial effects that the dot matrix structure is mapped into the paper folding structure, integration of the advantages of dot matrix design and paper folding design is achieved, the overall mechanical property of the structure is further improved, and the coverage range of the overall performance of the structure is expanded. The characteristics of paper folding and lattice structures are integrated, and a composite structure with controllable overall rigidity is designed, so that the composite structure has better vibration and noise reduction characteristics.

The application provides a low-grade oil reservoir water injection development effect evaluation method, comprising the following steps: S1, collecting core scale limit oil displacement efficiency data; S2, collecting well pattern controlled reserve degree data; S3, calculating sweep efficiency of the low-grade water drive oil reservoir; S4, correcting the sweep efficiency according to the changes of reservoir physical property parameters caused by near-well pollution and reservoir energy decline; and S5, calculating the reference recovery rate and evaluating the development effect. The application can effectively avoid collecting and arranging a large number of cumbersome production dynamic data, fully utilize the flow characteristics and dynamic physical property parameter evolution of the low-grade oil reservoir, accurately evaluate the development effect of the low-grade oil reservoir, and be beneficial to efficient development of the low-grade oil reservoir.

The invention discloses a water hammer analogue simulation method and device for fracturing, and belongs to the technical field of oil and gas reservoir fracturing exploiting.The simulation method comprises the steps that a simulated shaft is determined; establishing a water hammer continuity equation and a water hammer motion equation based on the water head, the flow, the fluid density and the like; establishing a water hammer equation set by combining a liquid elastic equation combination, and solving to obtain a distribution equation of the water head, the flow velocity and the density; establishing a relational expression of fluid pressure, density and flow, and establishing a water hammer equation set in parallel to obtain a water hammer simulation model; initial conditions and boundary conditions are set, and a curve of water hammer pressure changing along with time is obtained through fitting. The device comprises a memory for storing a computer program and a processor, wherein the program comprises the steps corresponding to the method. According to the method, the water hammer pressure in the fracturing process can be more accurately simulated, developers are helped to analyze the fracturing effect by using the water hammer pressure in the fracturing process, so that fracturing parameters are optimized, a better fracturing effect is obtained, and efficient development of unconventional oil and gas resources is promoted.

The invention provides a helicopter model demand allocation and tracking method, and the method comprises the following steps: defining a demand management information architecture and a demand allocation structure based on a helicopter model demand decomposition structure (RBS); according to a helicopter model product decomposition structure (PBS) definition, demand definition of each level system of a PBS is carried out, and demands are uniquely identified and entries are carried out; carrying out demand allocation on demands of each level system of the PBS, and completing demand allocation to each specialty of a model I PT team through demand allocation attribute definition; according to a helicopter model demand decomposition structure, establishing a demand link of each level system of the PBS, and forming a demand tracing matrix; and based on the demand tracing matrix, carrying out whole-process tracking on the demands of all levels of PBS systems.

The invention belongs to the field of geological exploration and mineral resource development, particularly relates to a method and a system for calculating a hydrothermal strength index TII in a reservoir, and aims to solve the problem that the hydrothermal activity strength of the reservoir cannot be quickly and accurately calculated in the prior art. The method comprises the following steps: collecting data related to reservoir characteristics in an oil and gas field as input data; preprocessing the input data to obtain preprocessed data; inputting the preprocessed data into the trained TII prediction model to obtain a predicted value of the comprehensive hydrothermal strength index TII; a TII prediction model is constructed based on a depth gradient lifting network; the TII prediction model comprises a first hidden layer, a second hidden layer and an output layer. According to the method, the calculation speed and precision of the hydrothermal activity intensity of the reservoir are improved.

The invention relates to the technical field of oil and gas field yield increase and transformation, in particular to a tight reservoir vertical well group fracturing optimization design method which comprises the following steps: collecting geological data and engineering data of a fracturing target block; a vertical well fracturing crack stress disturbance mathematical model is established, and reservoir disturbance stress distribution is simulated; establishing a crack support crack width attenuation mathematical model, and simulating a change rule of the support crack width along with time; combining engineering data with the stress disturbance mathematical model to determine a well group combination mode and a multi-well fracturing sequence of vertical well group fracturing; and based on the result of the fourth step, the fracturing time interval between the vertical wells in the well group is designed by combining the supporting seam width attenuation mathematical model. According to the method, the problems of well group combination mode, multi-well fracturing sequence, fracturing time interval and the like during tight reservoir vertical well group fracturing construction design are effectively solved, steering extension of fracturing cracks is achieved, the fracturing transformation effect of a reservoir is improved, and therefore the oil and gas yield of a single well is increased.

The invention relates to the technical field of oil exploration, in particular to a U-shaped factorization Fourier neural operator for oil exploration. The system comprises a conversion module, and a lifting operator lifts an input function to a potential space through a linear full-connection network; the U-Net neural network module is used for acquiring high-frequency information; the operator layer module enters a Fourier neural operator layer to learn low-frequency information; and a projection operator is projected back to a physical space through a linear full-connection network. According to the technical scheme, the U-shaped factorization Fourier neural operator can effectively reduce the influence of lost high-frequency information on the solving precision, the difficulty of learning the partial differential equation by the U-shaped factorization Fourier neural operator is reduced, the partial differential equation solver is a core component of petroleum industry software, and the cost is reduced. The assembly is integrated into petroleum industry software and is a key technology for increasing storage and production, improving the recovery efficiency and optimizing the production process.

The invention relates to the technical field of digital city physical examination, in particular to a BIM model-based city physical examination method and system. The urban physical examination method comprises the following steps: establishing a BIM three-dimensional model of a physical examination object, and determining coordinate data of the physical examination object; acquiring position data of the physical examination personnel, marking the position of the physical examination personnel in the BIM three-dimensional model according to the position data, and recording the position as a physical examination reference point; determining the relative orientation relationship between the physical examination building component and the physical examination personnel, and marking the building component in the BIM three-dimensional model according to the physical examination reference point and the relative orientation relationship; and associating the component physical examination result uploaded by the physical examination personnel with the building component. According to the method, automatic association of the physical examination result and the building component can be realized, the probability of data matching errors is effectively reduced, and efficient and accurate development of urban physical examination work is facilitated.

The invention discloses an electric folding mechanism suitable for an unmanned aerial vehicle arm and a control method thereof.The electric folding mechanism comprises an inner arm and an outer arm which are rotatably connected, the inner arm is connected with the unmanned aerial vehicle arm, and the outer arm is connected with a motor pipe used for installing an unmanned aerial vehicle rotor wing; one side of the inner arm is provided with a driving device which rotates circumferentially with a first rotating shaft as a fulcrum, the output end of the driving device is connected to one end of a lead screw, the free end of the lead screw and a ball sleeve form sliding motion pair connection, and the ball sleeve drives the outer arm to rotate around the inner arm under rotation of the lead screw. And meanwhile, the ball sleeve rotates circumferentially by taking the second rotating shaft as a fulcrum. According to the electric folding mechanism, through an electric driving mode, the problem that a traditional unmanned aerial vehicle is inconvenient to store in a nest is solved, the defect that an arm is difficult to automatically fold when the unmanned aerial vehicle is in a non-working state is overcome, the requirement for automatic operation in an unattended scene is met, and the electric folding mechanism is worthy of popularization.

The invention relates to the technical field of fracturing in oil and gas field development, in particular to a method for water injection pressure recovery degree and soaking time of an old well energy storage group, which comprises the following steps of: 1, establishing a multiphase flow fluid-solid coupling seepage model, and carrying out historical fitting of production dynamics before oil well refracturing to obtain four-dimensional ground stress and formation pressure distribution of an oil reservoir; calculating the remaining oil reserve; 2, according to the remaining oil reserve threshold value interval of the area, it is determined that the group refractures the group well, if the remaining oil reserve is within the threshold value interval, the operation is continued, and if the remaining oil reserve is not within the threshold value interval, the operation is stopped; and 3, according to production characteristics before water injection and energy increasing of the target group well. According to the method, blindness of refracturing construction design of the old well energy storage group is reduced, the overall reconstruction effect of fracturing is enhanced to the maximum extent, the reservoir reconstruction volume and the resource utilization degree are improved, and efficient development of tight reservoir oil and gas resources is achieved.

The utility model relates to the technical field of photovoltaic detection, in particular to a continuous displacement detection device for a photovoltaic module. According to the technical scheme, the device comprises a main machine shell frame assembly and a main machine vertical support assembly fixedly arranged on the outer side of the main machine shell frame assembly; a bottom rail beam is arranged on the lower portion of the front face of the main machine shell frame assembly, and side sliding rails are arranged at the side ends and make contact with the bottom rail beam. Transverse shaft supporting angle aluminum is arranged on the front face of the transverse shaft side supporting piece, and a transverse shaft rack and a transverse shaft guide rail are arranged at the upper end of the transverse shaft supporting angle aluminum. According to the utility model, dynamic transverse continuous detection of the photovoltaic panel is realized, different areas of the photovoltaic panel can be rapidly covered, comprehensive detection data can be obtained, the detection period is greatly shortened, convenience is provided for longitudinal dynamic test of the photovoltaic module, detection dimensions are enriched, and efficient and accurate development of detection work is guaranteed in all directions.

This invention discloses an endogenous polypeptide, its preparation method, and its application. The structural formula of the polypeptide is shown in Formula (I): R1-(AA1)m-AA2-AA3-(AA4)n-R2, Formula (I); wherein, m is independently 2 or 3; n is independently 1, 2, or 3; AA1 is independently K, R, or H; AA2 is independently I or W; AA3 is independently I or W; AA4 is independently K, R, or H; R1 is any one of -H, Y, LY, PLY, or LLY; R2 is any one of -OH, L, LL, E, EL, EW, W, EH, or EHL. While retaining its targeted antioxidant and anti-inflammatory functions, the polypeptide has removed the domain with high affinity for heparin, thereby avoiding signal interference and potential biosafety risks that may be caused by full-length PF4, and meeting the safety requirements for cosmetic ingredients.

The utility model relates to the technical field of bag-type dust removers, and discloses a bag-type dust removal connecting structure which comprises a first connecting ring, two connecting blocks are fixedly connected to the inner wall of the first connecting ring, an expansion ring is fixedly connected to the left side of the first connecting ring, and a convex ring is fixedly connected to the left side of the first connecting ring. A second connecting ring is detachably connected to the left side of the first connecting ring, a sealing groove is formed in the second connecting ring, a plurality of first springs are fixedly connected to the inner wall of the sealing groove, sealing rings are fixedly connected to the right sides of the first springs, and a clamping ring is fixedly connected to the interior of the second connecting ring. According to the utility model, dust-containing gas can be effectively prevented from escaping, the clean and safe working environment is guaranteed, the harm of dust to the health of personnel and the surrounding environment is greatly reduced, the stable airflow and pressure environment in the bag-type dust collector can be maintained, the efficient development of dust collection operation is ensured, and the reliable operation cycle and the service life of equipment are prolonged in an assisting manner.

The invention relates to the technical field of oil exploitation, in particular to a method and system for calculating the hydrocarbon generation pressurization contribution rate of high-TOC oil shale, and the method comprises the steps: calculating the TOC content of the oil shale; establishing a target longitudinal and transverse wave velocity relational expression; reconstructing the longitudinal wave velocity of the high TOC oil shale based on the target longitudinal and transverse wave velocity relational expression to obtain a reconstructed longitudinal wave velocity; constructing a pressure prediction basic model, and calculating the pore pressure and background pressure of the high-TOC oil shale under-compaction cause based on the pressure prediction basic model and the reconstructed longitudinal wave velocity; based on the pore pressure and the background pressure, obtaining a hydrocarbon generation supercharging pressure coefficient difference, and obtaining a speed difference between the actually measured sound wave speed and the reconstructed longitudinal wave speed; and performing rendezvous analysis on the speed difference and the pressure coefficient difference to obtain a target fitting formula, and calculating the contribution of hydrocarbon generation pressurization based on the fitting formula. According to the method, quantitative calculation of the hydrocarbon generation pressurization contribution of the high-TOC oil shale and high-precision prediction of the formation pore pressure are achieved.

The invention discloses an electronic parking device comprehensive testing platform, which relates to the technical field of electronic parking device testing, and comprises: a testing platform, a fixture group, and also comprises: a position deviation judgment component and a testing accuracy maintenance component, wherein the position deviation judgment component is located above the testing accuracy maintenance component; through the design of the arc-shaped groove of the 8-shaped groove, when gas is indirectly stored for the testing accuracy maintenance component under the cooperation of the sliding block and the 8-shaped groove, since the stored gas is gradually increasing, its gas pressure is also gradually increasing. In this process, each time the 8-shaped groove and the sliding block involved in gas storage move with the air pushing plate with the connecting rod, the reaction force on the groove wall of the 8-shaped groove will gradually increase, but due to its arc-shaped design, the force can be effectively dispersed, and the point of action of the force can be adjusted in real time at different positions of the groove wall of the 8-shaped groove during the rotation of the rotating disk. The above design can maintain a good performance state during long-term operation.

The utility model relates to the technical field of plastic processing discloses an automatic expansion machine of insulating tube with automatic feeding, including main part assembly, including expansion machine body, expansion machine body one side is fixed with switch, expansion machine body one side is fixed with the material collecting box, feeding assembly, set up in expansion machine body, including feeding piece, the feeding piece includes the feeding roller. The utility model has the advantages that: a plurality of insulating tubes are placed in the special storage box in advance, the insulating tubes can be discharged from the storage box one by one to realize automatic feeding, which is convenient for operators to take, and the whole insulating tube expansion work can be carried out more efficiently and smoothly, the work efficiency and the convenience of operation are effectively improved, and the surface of the insulating tube can be prevented from being contaminated by dust, impurities and other foreign matters, the quality of the insulating tube is guaranteed, the insulation performance is maintained, and the risk of potential safety hazards caused by subsequent wrapping wire cores is eliminated.

The embodiment of the present application discloses a campus big data comprehensive service system, which belongs to the field of campus data service technology, including a user management module for collecting campus teacher and student accounts, user management and portrait analysis, collecting teacher and student data, establishing a distributed computing framework, and performing data analysis and distributed processing on teachers and students. The business service module modularizes campus business applications to obtain multiple independent business project applications, divides functions and defines boundaries for each business project application, clarifies data communication and dependency relationships between each module, and the component deployment module performs environmental configuration, component installation, resource deployment and interface configuration on components in the system, installs and configures an operating system for each component, and installs and configures corresponding application programs and services according to the functions of each component. The embodiment of the present application can better manage and utilize big data and help teacher and student users get better services from big data.

The invention belongs to the technical field of oil and gas development, and particularly relates to a shale gas well tubing depth optimization method and system, a storage medium and equipment, and the method comprises the steps: collecting basic data of a shale gas well; the steady-state model is used for evaluating pressure drop loss, liquid carrying capacity and daily gas production rate of different oil pipe depth lowering positions, and an oil pipe depth lowering scheme is determined; dividing production stages of the shale gas well and formulating an optimization strategy; based on the basic data, establishing a shale gas well shaft multiphase flow dynamic model, and verifying the accuracy; using the multiphase flow dynamic model to simulate working conditions of different oil pipe depths, adjusting oil pipe depth positions and recording simulation results; and based on a multiphase flow dynamic model simulation result and an optimization strategy, establishing a multi-objective optimization model, optimizing an oil pipe depth scheme, obtaining a Pareto optimal solution, and determining an optimal oil pipe depth scheme. According to the method, the complex production environment of the shale gas well can be effectively handled, and scientific basis and technical support are provided for improving the economic benefit of shale gas development.

The present application provides a kind of linear elasticity-viscous relaxation formation's stress prediction method, comprising: S1, obtaining the generalized Hook's law of characterizing homogeneous isotropic elastic formation;S2, obtaining the formation stress logging calculation model of homogeneous isotropic linear elastic formation;S3, obtaining the horizontal stress difference calculation model of homogeneous isotropic linear elastic formation;S4, obtaining the horizontal stress difference prediction model of viscous relaxation formation;S5, obtain the basic model of horizontal principal stress difference of viscous relaxation formation;S6, obtain the horizontal maximum and horizontal minimum principal stress calculation model of viscous relaxation formation;S7, obtain the formation stress prediction model of linear elasticity-viscous relaxation formation;S8, model parameter acquisition method and rationality verification;S9, realize the formation stress profile prediction and formation stress longitudinal distribution characteristic analysis of linear elasticity-viscous relaxation formation;S10, obtain three-dimensional formation stress field prediction result, realize the formation stress spatial distribution characteristic analysis, solve the limitation of existing formation stress calculation model.

The invention discloses a nuclear magnetic resonance-based crude oil mobility limit quantitative characterization method and equipment and a storage medium, and belongs to the technical field of crude oil mobility in oilfield development. According to the characterization method disclosed by the invention, quantitative conversion between the relaxation time and the pore throat radius is realized on the basis of test results of nuclear magnetic resonance and rock core high-pressure mercury injection, then the use degree and change rate under different development modes are calculated, and the use limit is obtained through derivation fitting; according to the method provided by the invention, the blank of the quantitative characterization method for the movable conditions of the crude oil and the movable pore throat scale boundary can be filled, the lower limit of the movable pore throat size of the crude oil in different development modes can be simply and quickly identified, and the crude oil production boundaries in different development modes are compared; theoretical guidance and technical support are provided for efficient development of oil reservoirs and optimization and adjustment of follow-up recovery efficiency improving technical policies.

The utility model discloses a kind of estuary silt scouring and silting dynamic balance lock dam device, it is related to lock dam technical field. Including lock dam dam body, the top of the lock dam dam body is fixedly arranged with wave baffle, the top of the wave baffle is fixedly arranged with multiple pulleys of uniform distribution;Silt discharge assembly is arranged on the lock dam dam body, for the silt scouring and silting of upstream, cooling assembly is arranged on the lock dam dam body, for balancing the internal and external temperature difference of lock dam dam body, eliminating thermal cracking, the lock dam dam body is also provided with barrier component, for the blocking of larger stone when silt scouring and silting. In the utility model, by the combination of cooling assembly and barrier component, not only effectively balance the heat inside lock dam dam body, eliminate thermal cracking risk to guarantee dam body structure complete and stable, lay a solid foundation for long-term operation of device, also can accurately block out silting mouth when silt discharge, prevent large stone blockage, ensure that silt discharge is smooth and device stable and efficient operation.

This invention relates to a flood disaster assessment method based on the fusion of remote sensing imagery and GIS data, belonging to the field of flood disaster monitoring and assessment technology. This method solves the problems of insufficient timeliness, limited coverage, and the inability of a single data source to comprehensively reflect the disaster situation in traditional assessment methods. Its technical solution mainly includes utilizing GIS data to provide spatial semantic background support, employing an improved UMNet++ model to accurately extract water body information before and after the flood from Sentinel-2 remote sensing imagery, and achieving quantitative assessment and hierarchical visualization of disaster severity through multi-source data fusion and spatial overlay analysis. The beneficial effects of this invention are that it significantly improves the accuracy and comprehensiveness of flood disaster assessment, enabling rapid and scientific disaster response and decision support.

The utility model provides a shallow soil sampling device for geological exploration. The shallow soil sampling device comprises a soil sampler assembly capable of sampling soil, the soil sampler assembly comprises an engine, a shaft rod which is in transmission connection with an output shaft of the engine and extends in the vertical direction, and a soil sampling cylinder which is detachably connected with the shaft rod; the soil sampling cylinder comprises a plurality of groups of inserting plates and a plurality of groups of slotting plates, the inserting plates and the slotting plates are alternately connected and arranged, are arc plates, and are mutually matched and spliced to form a cylindrical structure which is detachably connected with the shaft rod; a cavity is formed in the slotting plate, a limiting assembly is arranged in the cavity, and a limiting groove matched with the limiting assembly is formed in the inserting plate; after the soil sampler successfully completes soil sample collection work, the cylindrical structure can be detached from the connecting block connected with the cylindrical structure. Then, the pulling piece is poked, the movement of the pulling piece can drive the inserting rod to act, and the inserting rod is made to be separated from the limiting groove. The purpose of the utility model is to keep a soil sample in a more complete state.

The invention belongs to the technical field of gas separation membranes, and particularly relates to a molecular simulation-based screening method of a coordination regulation mixed matrix membrane. The method is combined with a molecular simulation technology and is used for quantitatively evaluating the interface compatibility of the mixed matrix membrane and reasonably screening and designing a coordination active additive so as to synergistically optimize the interface structure and the gas separation performance. According to the method disclosed by the invention, a new method for accurate prediction and rational design from a microscopic molecular structure to macroscopic membrane performance is realized, and the method can be used for guiding efficient development of high-performance MMMs.

This utility model relates to the field of raw material cleaning technology and discloses a special cleaning machine for raw materials, including a base plate and a cleaning tank. A protective shell is fixedly connected to the left outer wall of the cleaning tank. A motor is mounted on the outer wall of the protective shell. A rotating shaft is fixedly connected to the drive end of the motor. A gear is fixedly connected to the outer wall of the rotating shaft. A toothed plate is meshed with the upper end of the gear, and a toothed plate is meshed with the bottom end of the gear. A cleaning screen is fixedly connected to the right outer wall of both toothed plates. In this utility model, the motor, rotating shaft, gear, toothed plate, and cleaning screen are sequentially connected and work together to achieve the alternating movement of the cleaning screen in and out of the cleaning tank, realizing the function of cleaning and removing cleaned materials simultaneously. By utilizing the meshing transmission of the gear and toothed plate, the guiding support of the inner wall of the cleaning tank, and the unique design of the double-layer cleaning screen, the working efficiency and effect of a special cleaning machine for raw materials are improved.

The invention discloses a fault early warning method based on vehicle full life cycle operation data, and the method comprises the steps: carrying out the factory detection before equipment leaves a factory, transmitting the data to a data medium station, generating a data set A, collecting the data in the operation process of the equipment in real time after the equipment leaves the factory, transmitting the data to the data medium station, generating a data set B, and building an after-sales service work order system. The method comprises the following steps: recording and transmitting work orders collected on site to a data medium station, generating a data set C, establishing a full-life-cycle data association relationship, forming a full-life-cycle data set D of equipment by using the data set A, the data set B and the data set C, processing data of the full-life-cycle data set D, training by using an improved random forest model, and establishing a full-life-cycle data association relationship. The LSTM model is utilized to carry out model optimization comparison, equipment faults are predicted, and the method has the advantages of being capable of recognizing potential faults in advance, improving the equipment use efficiency and the maintenance management initiative and the like.

The invention discloses a coal reservoir permeability test optimization method and system, and the method comprises the steps: carrying out the clustering analysis of coal samples of different coal orders through a K-means clustering and random forest algorithm, and constructing a permeability test database containing the permeability of different coal orders, the fracture pressure, the pore characteristics and other parameters; on the basis of a CT scanning result of the coal sample, physical characteristics such as a pore structure and fracture distribution of the lump coal are analyzed, a representative position is selected for sample preparation, and a fracture pressure interval of the sample is pre-judged according to a database; intelligently adjusting a pressurization strategy according to the pre-judgment interval, and switching to slow gradient pressurization when the pressure is close to the fracture pressure of the coal sample; and according to the measured data points, abnormal points and invalid data points in a fracture area are automatically identified and eliminated based on a random forest algorithm, representative data points are optimally selected in a permeability test stable section and a characteristic inflection point interval, and finally data constraint and fitting correction are performed through a P50 probability method. The method can improve the efficiency and accuracy of the laboratory coal permeability test.

The invention belongs to the field of inventory prediction and optimization, and provides a dynamic disturbance perception inventory optimization method and system based on supply chain digital twinning, and the method comprises the steps: obtaining the full-link node data of a power grid supply chain, and extracting features; the method comprises the following steps: constructing a three-dimensional twin model of a power grid supply chain, considering scene features of the power grid supply chain, constructing disturbance factors, classifying unstructured disturbance factors and structured disturbance factors, fusing, and training a hybrid prediction optimization model according to the fused features in combination with power grid inventory management requirements in a power scene. Optimizing parameter configuration of the model; and processing the inventory data of the target area in the target scene by using the trained hybrid prediction optimization model, and determining a replenishment scheme. The inventory optimization accuracy can be improved, and the method is particularly suitable for electric power scenes.

The present invention relates to a method for producing human pluripotent stem cell-derived cardiac organoids, the method comprising steps of: (A) preparing embryonic bodies having a diameter of 100 um to 130 um by culturing human pluripotent stem cells (hPSCs); (B) culturing the embryonic bodies, prepared in step (A), until the embryonic bodies have a diameter of 200 um to 250 um; (C) differentiating the human pluripotent stem cell-derived embryonic bodies having a diameter of 200 um to 250 µm, obtained in step (B), into structures comprising mesoderm cells and endoderm cells; (D) differentiating the structures comprising mesoderm cells and endoderm cells, obtained in step (C), into cardiac organoids comprising self-organized cardiomyocytes, fibroblasts and vascular endothelial cells; and (E) culturing and maturing the cardiac organoids obtained by differentiation in step (D), wherein the cardiac organoids matured in step (E) contain self-organized cardiomyocytes, fibroblasts and vascular endothelial cells at a cell number ratio of 55 to 65: 15 to 30: 15.