121results about How to "Calculation method is simple" patented technology

The invention discloses a lightweight space-time traffic flow prediction method based on GAT and Mama, and relates to the technical field of intelligent traffic systems. According to the method, the feature expression ability of the model is improved through multi-dimensional feature learning (time, date and space-time) of an embedded layer, rich features of input data can be deeply captured, and the learning ability of the model is enhanced; a graph attention module is used to adaptively pay attention to the relative importance between nodes, so that the graph structure relationship in the data can be more effectively captured and utilized, and the analysis accuracy of the model on the spatial data is improved; the GAT-Mama module optimizes the time sequence analysis and spatial data processing capability, and the model can more accurately capture the dynamic dependency relationship between time points and between spatial positions through a multi-layer graph attention mechanism and residual connection; the GAT-Mama layer structure supports flexible adjustment, a user can adjust the depth of the model according to specific task requirements so as to adapt to spatio-temporal data prediction tasks with different complexities, and good adaptability is achieved.

The invention discloses a degradation conversion rate calculation method and system based on an epoxy resin alcoholysis model, and belongs to the technical field of thermosetting epoxy resin degradation and recovery. The method comprises the following steps: pouring epoxy resin to cure and mold, carrying out an epoxy resin alcoholysis degradation experiment at different temperatures, and recording degradation conversion rates at different moments; constructing an epoxy resin geometric model, and analyzing to obtain a degradation conversion rate differential expression containing reaction rate constants and geometric parameters; solving the differential equation to obtain a reaction rate constant, and fitting by using an Arrhenius formula to obtain degradation activation energy; analyzing a transesterification process of the epoxy resin and the alcohol solvent and a diffusion process of the alcohol solvent in the epoxy resin, and establishing a degradation conversion rate expression which does not contain geometric dimension parameters; and substituting degradation reaction activation energy, and fitting to determine a degradation conversion rate expression which does not contain geometric dimension parameters. The invention aims to provide a reference for the degradation process analysis of the large-size epoxy resin with a complex shape.

The invention discloses a frequency modulation response analysis-oriented wind power plant improved single-machine equivalence method and system, and belongs to the technical field of power system new energy station modeling. The method aims at solving the problem that a system frequency response characteristic analysis result is distorted when new energy participates in frequency modulation due to the fact that a traditional wind power plant equivalent modeling method oriented to frequency modulation response analysis in current practical engineering cannot adapt to a frequency modulation response analysis scene. According to the method, wind turbine generators in a wind power plant electromagnetic transient model are divided into two groups according to whether the wind turbine generators participate in frequency modulation or not by taking an active output threshold Tp as a grouping point in a steady state, and the frequency modulation power of an equivalent machine is corrected; calculating an improved virtual inertia coefficient and a droop coefficient of the equivalent machine through the corrected frequency modulation power; in addition, the equivalent machine adopts overspeed load shedding control to realize load shedding operation, and cooperates with virtual inertia control and droop control to participate in system frequency modulation. The method is used for single-machine equivalence of the wind power plant.

The invention relates to a method and device for obtaining the actual supercharging pressure of an engine. The method comprises the steps that the air inlet pressure of an outlet of a throttle valve and the air inlet pressure of an inlet of the throttle valve are obtained; and judging whether the throttle valve is in a normal control mode, an anti-overshoot control mode or a full-open control mode, and for different modes, selecting corresponding transition coefficients to calculate the actual boost pressure of the engine by combining the intake pressure of the outlet of the throttle valve and the intake pressure of the inlet of the throttle valve. According to the method, on the basis of different working modes of the throttle valve, the boost pressure control deviation, the intake pressure control deviation and the intake pressure response condition are considered at the same time, the calculation method of the actual boost pressure is optimized, meanwhile, learning parameters of the actual boost pressure are continuously updated in different life cycles, and the control precision of the intake pressure is improved.

The invention discloses a high-precision part machining path planning method based on artificial intelligence optimization, and the method comprises the following steps: generating a first three-dimensional geometric model of a to-be-machined part, carrying out the curved surface division, and obtaining a manufacturing feature point according to a division result; determining a processing placement surface for the first three-dimensional geometric model according to the manufacturing feature points, and performing processing element positioning and shaping to obtain a second three-dimensional geometric model; processing path preliminary planning is carried out, optimization is carried out based on mixed # imgabs0 # equilibrium by using a neural network, and a second planning processing path is output; performing path optimization based on a Gaussian distribution function and a cubic # imgabs1 # spline curve to obtain a third planning processing path; and simulation verification is carried out, path adjustment and optimization are carried out by adopting a hierarchical optimization ant colony algorithm according to a verification result, and a final planning processing path is output. The precision, the efficiency, the flexibility and the adaptability in the high-precision part machining process are improved.

The invention discloses a dynamic value calculation method for predicting seabed erosion and deposition. The dynamic value calculation method comprises the following steps: step 1, determining dominant dynamic factors influencing seabed erosion and deposition evolution; 2, determining the critical starting shear stress and the critical deposition shear stress of the sediment; step 3, establishing and verifying a tidal current mathematical model and (or) a wave mathematical model, calculating dynamic elements of the research area, and giving a flow field and (or) a wave field of the research area; 4, calculating a bed surface shear stress field of the research area; step 5, comparing the critical starting shear stress and the critical silting shear stress of the sediment determined in the step 2 with the bed surface shear stress calculated in the step 4, and judging the starting and silting conditions and ranges of the bed surface sediment; and 6, calculating the seabed erosion and deposition amplitude by adopting an erosion and deposition calculation formula, and analyzing the seabed erosion and deposition trend. The method overcomes the defect that the traditional seabed evolution analysis method cannot quantitatively predict the seabed erosion and deposition amplitude, and is simpler and more efficient than a method for predicting the seabed erosion and deposition by adopting a sediment mathematical model.

The invention provides a heating furnace energy efficiency prediction and adjustment method based on subjective and objective combination weighting, and belongs to the technical field of oil and gas production. The method comprises the following steps: calculating a subjective weight of a heating furnace energy efficiency evaluation index by adopting an analytic hierarchy process; calculating objective weights of the heating furnace energy efficiency evaluation indexes by adopting an entropy weight evaluation method; calculating the comprehensive weight of the oil field heating furnace energy efficiency evaluation index based on a combined weighting method; performing linear regression on the heating furnace evaluation index comprehensive influence factor and the heating furnace thermal efficiency, and fitting to obtain a heating furnace thermal efficiency prediction model; judging whether the precision of the heating furnace thermal efficiency prediction model meets precision requirements. Accurate prediction of the heating furnace thermal efficiency is achieved, quantitative adjustment is conducted on the heating furnace air-fuel ratio, the heating furnace thermal efficiency calculation method is simplified, and the detection cost is saved.

The invention provides a method for carrying out paleogeography reconstruction by using detrital zircon age space-time distribution characteristics. The method comprises the following steps: obtaining detrital zircon age data; sorting and analyzing the obtained fragment zircon age data to obtain age distribution characteristics of the group of data; grouping according to regional or stratigraphic times, and determining a main age distribution interval; obtaining age data and proportion of a single sample in each main component; drawing spatial distribution of main components of all samples in the age interval; and according to the obtained detrital zircon age space distribution diagram, in combination with the zircon age characteristics of the potential source area, detrital material source system analysis is carried out, and paleogeography reconstruction is realized, so that the spatial and temporal distribution characteristics of detrital zircon age data can be reflected more accurately, the evolution rule of detrital material sources in space along with time is effectively described, and the reconstruction efficiency is improved. The paleogeography pattern is reconstructed, and a reliable basis is provided for research of important geological events.

The embodiment of the invention provides a method and device for determining the transit time of a satellite, which are used for conveniently and quickly predicting the transit time of the satellite. The method is applied to terminal equipment and comprises the steps that two lines of data of a satellite to be monitored during last transit are acquired, and the two lines of data comprise ephemeris time of the satellite to be monitored and orbit parameters of the satellite to be monitored; determining a first position and a first running speed of the to-be-monitored satellite at at least one set moment in the future according to the orbit parameters and ephemeris time of the to-be-monitored satellite; determining position information of the to-be-monitored satellite at at least one set moment in the future according to the first position and the first running speed; and determining whether the to-be-monitored satellite passes through the set ground position at each set moment or not according to a pitch angle determined by each piece of position information and the set ground position.

The present invention includes a crane Internet of Things data collection and analysis system and method, which determines the collectible life influencing factors according to the usage characteristics of each crane component; based on edge computing technology, the on-board computing module accurately calculates the usage statistical information, such as the operation time and operation frequency of a certain crane component, according to the collected influencing factor data, and transmits it to the Internet of Things server; the Internet of Things server calculates the life estimation information and maintenance reminder information of each component through a mathematical model based on the statistical information; the information in the system can be displayed on the vehicle-mounted terminal, mobile terminal, and centralized control terminal to meet the needs of multiple roles such as drivers, managers, and supervisors for crane component-level maintenance information.

The invention provides a method and a system for measuring pulse width. The method comprises the following steps of: inputting a pulse to be measured into a delay chain; if the pulse to be measured is a negative pulse, directly inputting the pulse to be measured into the delay chain; if the to-be-measured pulse is a positive pulse, inverting the to-be-measured pulse and inputting the to-be-measured pulse into the delay chain; a pulse to be measured is output in a delay chain through a plurality of taps in sequence in a delay manner, and an output signal of each tap of the delay chain is input to the corresponding two-stage D flip-flop; if the to-be-detected pulse output by a certain tap has a negative pulse signal, the corresponding two-stage D trigger outputs a high level; otherwise, outputting a low level; counting the number M of the two stages of D triggers outputting high level, and taking the sum of the reduced widths of negative pulses caused by the delay time of the first M taps on the delay chain propagation path as the width of the negative pulses; wherein M is a positive integer. The pulse compression technology is adopted, the dead time is short, and the resolution ratio is high.

The invention discloses a crack stress intensity factor calculation method based on a three-dimensional weight function method, and belongs to the technical field of reliability. Based on a complex variable function Taylor series expansion method, a complex variable finite element program is operated to obtain a weight function of given crack geometry, and then a stress intensity factor of the crack is obtained through stress on a crack surface and weight function integration. Specifically, the method comprises the following steps: establishing a crack-containing finite element model and dividing grids; carrying out perturbation on a crack tip unit node on an imaginary axis; running a complex variable finite element program to obtain an imaginary part of a node crack opening direction on the crack surface so as to obtain a weight function on the crack surface; and solving the stress intensity factor of the corner of the connecting pipe by integrating the weight function of the crack surface and the stress of the crack surface. Compared with a two-dimensional weight function, the method is expanded to three-dimensional elliptical cracks, and the application range is wider; by adopting the method, the calculation result of solving the stress intensity factor of the corner of the connecting pipe under the action of complex load is accurate, and the use is simple and effective.

The invention discloses a high-overload permanent magnet servo motor cooling structure with a phase change material and a method. The high-overload permanent magnet servo motor cooling structure comprises a casing, an end cover, a stator core, a permanent magnet, a rotor core, a rotating shaft, a rotor end cover and a stator winding, wherein phase change-epoxy resin composite encapsulating materials are arranged on two end surfaces of the stator core. The method comprises the steps of selecting an initial phase change material, then dividing a second layer of phase change material and a third layer of epoxy resin material to obtain composite material layers, then constructing a thermal network model, obtaining end temperature rise of the stator winding, changing selection of the phase change material, and repeating experiments to obtain an optimal phase change material. According to the structure, the influence that the size of the motor is increased due to filling of the phase-change material is avoided, temperature rise of the end of the stator winding under the high-overload working condition is effectively restrained, and the optimal phase-change material suitable for the structure is selected through multiple experiments.

The invention relates to the technical field of sewage treatment, and aims to solve the problems that an existing mode of manually adjusting the frequency of a fan and the opening degree of a valve is rough and not fine, the aeration rate is easy to excessively increase and the energy consumption is increased, and an existing precise aeration control system adopts a water quality analysis model and a fuzzy neural network controller and is small in application range, complex and high in investment cost. The invention provides a precise aeration control method and system based on an AAO process. The method comprises the steps that S1, water inlet data, water outlet data and process instrument data are monitored and collected; s2, setting an aerobic tank dissolved oxygen target value according to effluent ammonia nitrogen online monitoring data; s3, calculating the corresponding fan frequency or valve opening according to the difference between the actual value of the dissolved oxygen in the aerobic tank and the target value of the dissolved oxygen in the aerobic tank; s4, the fan frequency or the valve opening degree is automatically adjusted according to the fan frequency or the valve opening degree determined in the step S3; and S5, judging whether the adjustment of the fan frequency and the valve opening degree reaches the standard or not according to the effluent ammonia nitrogen data.

The invention discloses an oil well working condition fault early warning method and system, and relates to the technical field of oil well control. According to the technical key points, the method comprises the following steps: firstly, extracting a 10-dimensional feature vector of oil well production data, and identifying an oil well which may have a fault through a fault early warning model based on improved fuzzy C-means clustering by using the 10-dimensional feature vector, according to the improved fuzzy C-means clustering algorithm, by purposefully selecting an initial clustering center and improving a target function, the defect that an FCM clustering algorithm is prone to falling into local optimum is overcome, and meanwhile the separation between the clustering centers is ensured; furthermore, a global search method-firefly algorithm is added on the basis, a calculation method of the clustering center is optimized, and a global optimal solution can be effectively found. The oil well fault can be timely and accurately found and treated in time, manual inspection is not needed, the working efficiency is improved, and management and supervision are facilitated.

The invention discloses a sewage treatment effluent quality prediction method based on Gaussian process regression, which comprises the following steps: collecting sewage treatment historical data, and preprocessing the data; determining input and output of an effluent quality prediction model, and training the effluent quality prediction model based on Gaussian process regression; initializing parameters of the effluent quality prediction model, and performing parameter optimization on the effluent quality prediction model by adopting a particle swarm optimization algorithm; performing prediction precision judgment on the optimized effluent quality prediction model by using the test set until the prediction precision meets a predetermined requirement; the effluent quality prediction model meeting the precision requirement is embedded into a field system, input data collected on site are received in real time, and an effluent quality index prediction value is output so as to guide field drug dosage adjustment. According to the method, the problems of nonlinearity, strong hysteresis and the like in the sewage treatment process can be solved, the effluent quality is accurately predicted, meanwhile, the confidence interval of the prediction result is given, and input variable sensor abnormity can be reflected.

The invention discloses a cabin immersion flow field prediction method and device based on an adaptive physical neural network, and relates to the field of complex flow field prediction of neural networks. The problems that in the prior art, a cabin immersion flow field has high nonlinearity and dynamic changes, and the free liquid level hydrodynamic force phenomenon is complex and difficult to predict are solved. The method comprises the following steps: constructing a ship model of a low-speed flow field; importing the ship cabin model into STAR-CCM + software for fluid simulation, and generating grid data of a flow field; processing the generated grid data of the flow field according to time steps; processing and storing the processed grid data through a Pytorch framework, and constructing a data set for neural network training; performing dynamic training on the data set trained by the neural network by using a Pytorch framework; the above steps are used for cabin immersion flow field prediction, and cabin immersion flow field prediction based on the adaptive physical neural network is completed. The method is suitable for the self-adaption field of cabin immersion flow fields.

The invention provides a five-phase FTFSCW-IPM novel approach rate FTSMC control method based on time-varying ESO, and the method comprises the following steps: building a five-phase FTFSCW-IPM motor mathematical model which comprises a flux linkage, a voltage, a torque and a motion equation; designing a fast terminal sliding mode surface and an improved reaching law to obtain a control law of a five-phase FTFSCW-IPM improved reaching rate fast terminal sliding mode in a rotating speed loop, and performing controller stability analysis in combination with a Lyapunov theorem; a time-varying parameter ESO is designed to be used for five-phase FTFSCW-IPM disturbance observation estimation, the characteristics and parameters of an observer are analyzed, an improved index reaching rate control method is introduced, a feedforward compensation strategy based on a time-varying extended state observer is combined, and the robustness and anti-interference performance of a five-phase FTFSCW-IPM motor control system are improved.

The invention relates to an improved riverbed erosion and deposition amount calculation method and system based on terrain classification encryption and a medium, and the method comprises the steps: 1, collecting the fixed section and underwater terrain observation data of a typical river reach; step 2, cutting an encrypted section based on topographic observation data; 3, calculating the erosion and deposition amount of each level of encrypted section; and 4, determining the erosion and deposition amount of the section of the river section and calculating the encryption series. According to the method, the terrain and section observation data are adopted, the river channel scouring and silting amount deviation calculated based on the terrain and the section is reduced, the section is subjected to multi-stage encryption through the river channel terrain observation data, the control index for judging that the encryption stage number is qualified is provided, and the calculation method for obtaining the riverbed scouring and silting amount based on the river channel storage change between the sections is further optimized; the riverbed scouring and silting adjustment degree of the riverway can be reflected more accurately and truly, and a foundation support is provided for river treatment.

The invention relates to the technical field of wind turbine generator set clearance control, in particular to a wind turbine generator set clearance control method based on the blade aerodynamic principle, and the method comprises the steps: building a clearance control model according to the blade aerodynamic principle; installing clearance measuring equipment on the wind turbine generator to measure a clearance value; the clearance value is fed back to a clearance control module, and when the clearance value is smaller than a clearance threshold value, the clearance control module adjusts fan parameters according to a clearance control model and controls the clearance value to reach a target clearance value; according to the method, the blade is simplified into a rod model with a fixed rod head according to the pneumatic principle of the blade, the relation between blade tip deformation and pneumatic thrust is obtained, a clearance control model is established, the rotating speed and the variable pitch angle value of an impeller are controlled at the same time through a parallel double-closed-loop control PID control system, the response speed is high, effective control over clearance can be rapidly achieved, and the service life of the blade is prolonged. The clearance control has higher real-time performance and accuracy, the tower sweeping risk is reduced, and the loss of wind energy capture efficiency is reduced.

The invention relates to a hospital functional department performance assessment system and an implementation method, assessed functional department subjects including hospital leaders, functional departments at the same level and clinical departments are evaluated in multiple dimensions based on a 360-degree assessment method, the influence of factors in multiple aspects on assessment objects is comprehensively considered, the comprehensive quality of assessed objects is displayed in an omnibearing and three-dimensional mode, and the assessment efficiency is improved. According to the system, assessment blind spots are effectively avoided, assessment indexes are objective and customized continuously through quantized assessment indexes, the system can comprehensively and objectively evaluate the performance of functional departments, and the management efficiency and service quality of hospitals are improved.

The invention discloses a method and a device for calculating distributed capacitance of an electromagnetic voltage transformer. The method comprises the following steps: constructing a capacitance parameter correlation constraint equation of the electromagnetic voltage transformer; opening a primary terminal of the electromagnetic voltage transformer, applying excitation of different frequencies to a secondary terminal of the electromagnetic voltage transformer, and obtaining iron core equivalent excitation impedance, open-circuit parallel resonant frequency and open-circuit series resonant frequency of the electromagnetic voltage transformer; performing short circuit on a primary terminal of the electromagnetic voltage transformer, applying excitation of different frequencies to a secondary terminal of the electromagnetic voltage transformer, and obtaining primary and secondary winding equivalent impedance and short circuit parallel resonant frequency of the electromagnetic voltage transformer; and substituting the iron core equivalent excitation impedance, the primary and secondary winding equivalent impedance, the open-circuit parallel resonant frequency, the open-circuit series resonant frequency and the short-circuit parallel resonant frequency into a capacitance parameter correlation constraint equation, and calculating the distributed capacitance of the electromagnetic capacitance transformer.

The invention discloses a filter CFD-DEM coupling calculation method and system based on an accurate filtering medium, and belongs to the technical field of agricultural irrigation, the calculation method comprises a particle method and a wall surface method, and the use scene is related to the filtering medium; comprising the following steps: selecting a calculation model according to an actual model, establishing and calculating a fluid domain, establishing and setting a filter medium model, and performing CFD-DEM coupling calculation. The method is characterized in that geometric characteristics of the filter medium are accurately simulated, and calculation of interaction among particles, the filter medium and a wall surface is realized through a CFD-DEM coupling calculation method. The method is powerful in calculation function and excellent in simulation effect, consumes few calculation resources, and can be well applied to the design and development process of the filter.

The invention provides a pole piece burr detection method and system. The method comprises the following steps: acquiring a pole piece image and selecting an ROI; calculating row coordinates of an actual foil material center point of each column in the ROI column by column to extract a foil material center line in the ROI; based on the gray value of each region in the ROI, determining the pixel points of the coating region column by column, taking the maximum value of the row coordinates corresponding to the pixel points of any column of coating region as the lower boundary of the coating, and taking the minimum value as the upper boundary of the coating; and calculating the difference between the row coordinate of the foil center line of any column and the coating upper boundary of the current column and the difference between the row coordinate of the foil center line of any column and the coating lower boundary of the current column, and judging the burr type of the current column. According to the method disclosed by the invention, the foil center line extraction and the boundary determination of the coating area are realized at the same time according to the gray value distribution characteristics of the pole piece image, so that the difference value between the line coordinate of the foil center line and the boundary of the coating area is used as the judgment basis of the burr type, the calculation method is simple and rapid, noise interference is effectively resisted, and the method is suitable for popularization and application. The detection result is high in accuracy.

The invention provides a transient stability limit evaluation method and system of a new energy flexible direct current delivery system, and relates to the technical field of transient stability quantitative evaluation of a new energy power system, and the method comprises the steps: building a transient linear model of new energy and flexible direct current multiple devices, and a system nonlinear model; constructing a system state matrix according to the linearization model, screening the type-I balance points through the state matrix, and calculating a first-order parameter matrix of a hypertangent plane of each target type-I balance point; calculating a Hessian matrix according to the nonlinear model, and calculating a second-order parameter matrix of the hypertangent plane of the type I balance point of each target by using the Hessian matrix; and according to the first-order parameter matrix and the second-order parameter matrix, constructing a corresponding hyper-tangent plane equation, in combination with the fault trajectory, determining the intersection point of the trajectory and a hyper-tangent plane, calculating the fault limit clearing time, and evaluating the transient stability margin of the system. According to the method, the fault clearing time of the system under different types of faults can be accurately calculated, and the transient stability of the new energy flexible direct delivery system can be accurately evaluated.

The invention relates to the technical field of constructional engineering, in particular to a method for calculating the bearing capacity of a large-span concrete-filled steel tube arch. Comprising the steps that S1, the concrete-filled steel tube arch is divided into a plurality of concrete-filled steel tube beam units and subunits; s2, acquiring a stiffness matrix of the concrete-filled steel tube beam unit; s3, applying a reference load to the concrete-filled steel tube beam unit, and calculating node pure deformation displacement of the concrete-filled steel tube beam unit under the structural coordinate system; s4, establishing a co-rotation coordinate system, and calculating a stress vector of each subunit under the co-rotation coordinate system; s5, calculating rod end resistance and unbalanced force of the concrete filled steel tube beam unit; and S6, whether the unbalanced force meets the convergence requirement or not and meets the material damage standard or not is judged, and when the conditions are met, the corresponding applied load is output to serve as the ultimate bearing capacity. According to the method for calculating the bearing capacity of the large-span concrete-filled steel tube arch, the calculation workload is greatly reduced in a mode of degree-of-freedom condensation and co-rotation coordinate system conversion, and an accurate and efficient algorithm is provided.

The present application provides a kind of formation threshold WOB and threshold torque determination method and device, belong to drilling engineering technical field, the method includes: obtaining different preset top drive speed under, in the preset WOB interval, the mechanical drilling speed, torque value and drill bit vibration parameters corresponding to different WOB value;For each preset top drive speed: based on the WOB value of the preset top drive speed and the mechanical drilling speed corresponding to the WOB value, determine the initial threshold WOB of the preset top drive speed from the WOB value;Based on the initial threshold WOB of the preset top drive speed, the torque value corresponding to the preset top drive speed is determined as the initial threshold torque of the preset top drive speed;Based on the drill bit vibration parameters corresponding to initial threshold WOB, initial threshold WOB and initial threshold torque are corrected, and formation threshold WOB and formation threshold torque are obtained.The present application has the advantages of simple calculation method, more accurate result, can effectively guide the selection of drill bit and screw rod, improve the mechanical drilling speed, and improve the rock breaking efficiency.

The invention discloses a rock mass random fracture network generation method, system and device and a medium, and relates to the technical field of rock mass random fracture network generation, and the method comprises the steps: obtaining the actual measurement data of a to-be-measured region rock mass; selecting a fracture network geometric parameter probability distribution model according to measured data; determining the number of fracture groups according to the occurrence of fracture development; stipulating a mean value and a standard deviation of occurrence, trace length and gap width of each group of fractures, inputting the mean value and the standard deviation into the distribution model, obtaining standard uniformly-distributed pseudo-random numbers of each group, and generating an initial random fracture network through specific transformation of the pseudo-random numbers; calculating node information of the random fracture network by adopting a plane scanning algorithm, and judging all intersection points of the fracture network; an isolated single fracture and a fracture with only one intersection point on the isolated single fracture are searched by adopting a block unit searching method, an isolated closed loop is searched, a random fracture network without considering the isolated single fracture and the closed loop is generated, and the method can simulate multiple groups of fracture networks under different scales without limitation.

The invention provides a household electric quantity loss calculation method and device, a storage medium and a product, belongs to the technical field of power systems, is applied to each household distributed photovoltaic single household, and comprises the following steps: determining a single household of which the electric quantity loss is to be calculated; counting all normal household samples in a preset area to which the single household of which the power loss is to be calculated belongs in the abnormal duration; according to all normal household samples in the preset area, the theoretical generating capacity of a to-be-calculated household in the abnormal duration is calculated, and the to-be-calculated household is a single household of which the power loss is to be calculated; and according to the actual generating capacity and the theoretical generating capacity of the to-be-calculated user in the abnormal duration, obtaining the lost electric quantity of the to-be-calculated user in the abnormal duration. The benchmark generating capacity of the to-be-calculated user is calculated according to the normal user sample in the preset area to which the to-be-calculated user belongs when the to-be-calculated user is abnormal, the lost electric quantity of the to-be-calculated user when the to-be-calculated user is abnormal is obtained by combining the theoretical generating capacity, and the method is simple and high in calculation accuracy.

This application belongs to the field of aero-engine technology, and specifically relates to a method and apparatus for simulating aircraft bleed air during sustained test of a turbofan engine, wherein the inlet temperature T1 and inlet pressure P1 of the engine are preset to a range; Step S2: Calculate the aircraft bleed air volume W fy The range, the total bleed air temperature T of the aircraft fy The range and total bleed air pressure P fy Range; Step S3: Calculate the cold diameter D of the bleed air nozzle. fy Range; Step S4: Select the cold-state diameter D of the bleed air nozzle fy An aircraft bleed air volume verification test was conducted to obtain the bleed air volume W for the test. fyr When the induced draft volume W in the experiment fyr The requirements are met, and the cold-state diameter D of the expiratory air nozzle is adopted. fy When the induced draft volume W in the experiment fyr If the requirements are not met, return to step S4; ensure that the calculation error of the aircraft bleed air volume is within the required range, and obtain the actual bleed air volume of the engine in various states to the maximum extent through test program design. This test method has the advantages of simple test method, low test cost and high replacement efficiency.