37 results about "Flux distribution" patented technology

The invention provides a high-resolution emission flux inversion system and method. The method comprises the following steps: collecting atmosphere multi-source data; determining a distance weighting function, and calculating the correlation between the grid points in the simulation area and the observation value; generating a set sample meeting physical constraints of the assimilation object; performing singular value decomposition and dimension reduction on the set samples; replacing a tangent line and an adjoint mode of a regional air quality mode with a mixed assimilation method, and obtaining a simulated regional space grid point analysis increment; obtaining corrected concentration and flux distribution data; the data is used for carrying out emission flux inversion, and the unit time emission flux of different positions is estimated. According to the method, a traditional four-dimensional variation mode is replaced with a mixed assimilation method, and the calculation and programming difficulty is reduced; generating a set sample by using a four-dimensional sliding sampling algorithm, reducing dimensions, and calculating resource consumption; a joint assimilation algorithm is introduced to optimize the concentration and flux field, and accurate inversion of the high-temporal-spatial-resolution emission flux is achieved.

The invention discloses an earth space radiation zone environment modeling and calculating method based on a deep neural network, and belongs to the field of earth space radiation environment simulation modeling. Flux intensity training data and flux distribution training data are constructed based on the earth radiation band environment data; building a regression prediction network and a dichotomy network, optimizing the regression prediction network based on the flux intensity training data, and optimizing the dichotomy network based on the flux distribution training data to obtain a radiation band ion flux intensity model and a radiation band flux distribution model; a user inputs task emission information, and an input tensor is constructed based on the task emission information; inputting the input tensor into the radiation band ion flux intensity model and the radiation band flux distribution model to obtain two prediction tensors; and obtaining the environmental particle energy spectrum data of the earth radiation band based on the two prediction tensors.

The invention provides a comprehensive energy efficiency evaluation method and system for a smart park, and the method comprises the steps: constructing a nonlinear metabolism matrix reflecting the energy incidence relation between equipment, and solving the optimal metabolic flux distribution through mixed integer nonlinear programming; defining an interaction rule base with a metabolic network, dynamically triggering rules according to real-time sensor data, and adjusting real-time metabolic flux; calculating the quantized value of each current energy efficiency index according to the real-time metabolic flux, quantifying the uncertainty through a fuzzy entropy theory, dynamically distributing multi-target weights, and calculating a comprehensive energy efficiency score; and calculating the quantized value of each energy efficiency index in the optimal state according to the optimal metabolic flux distribution, comparing the fuzzy entropy, determining a to-be-optimized energy efficiency index, and identifying high risks and potential risks to formulate an optimization strategy. According to the method, various equipment and energy flow conditions in the park are considered, the energy efficiency level of the system is accurately reflected, dynamic adjustment and evaluation are carried out according to real-time data, uncertainty factors of the energy system are identified and solved, and efficient and stable operation of the system is guaranteed.

The invention relates to the technical field of computer aided design, in particular to a transformer structure optimization method and system based on energy efficiency simulation analysis, and the method comprises the following steps: arranging magnetic flux sensors in a plurality of areas of an iron core laminated structure, collecting the change trend of multi-layer magnetic flux density, extracting gradient features, and generating magnetic flux gradient distribution data. According to the method, multi-region data is collected based on a magnetic flux sensor, magnetic flux density gradient distribution is obtained, the change rate of a sudden increasing region is extracted, the local magnetic flux deviation angle is calculated, the offset is screened according to a magnetic flux guiding threshold value, dynamic prediction is achieved, the etching depth and angle correction are adjusted in combination with the magnetic flux diffusion radius, and the magnetic flux diffusion path is optimized. Local magnetic flux accumulation is reduced, the iron core stacking direction is adjusted, local loss is reduced, electromagnetic loss changes are calculated in combination with the load state, an optimized energy efficiency loss value is obtained, magnetic flux distribution is balanced, energy efficiency is improved, the heat dissipation capacity is improved, manufacturing cost is reduced, and structural adaptability is improved.

A computer implemented method for simulating an operation of a reactor core includes determining an initial state of the reactor core; calculating a nodal target power distribution and / or the target 3D neutron flux distribution; obtaining an actual power distribution and / or the actual 3D neutron flux distribution of the nuclear reactor core; determining a difference between the target power distribution and the actual power distribution of the nuclear reactor core and / or determining a difference between the target 3D neutron flux distribution and the actual 3D neutron flux distribution of the nuclear reactor core; determining modal expansion coefficients using a Fourier modal decomposition based on the determined difference and applying a Modal Generalized Perturbation Theory to the modal expansion coefficients for determining a 3D cross-section distribution perturbation causing the determined difference; and determining a 3D adaptation distribution for the determined difference based on the determined 3D cross-section distribution perturbation.

The application provides a PGNAA detection data comprehensive analysis method, which relates to the technical field of detection and comprises the following steps: acquiring the first element content, neutron absorption cross section and environmental temperature variation amount and humidity of a sample to be detected; adjusting the ray self-absorption correction coefficient of the first element content, adjusting the flux distribution based on the neutron absorption cross section, calibrating the peak position based on the environmental temperature variation amount, and correcting the background based on the environmental humidity; and through case-by-case processing, when the relevant parameters exceed the threshold value, the synergistic calculation and simulation are adopted, otherwise the standard value is used, so that the accurate comprehensive analysis of the PGNAA detection data is realized, and the accuracy and adaptability of the detection result are improved.

The invention provides a PGNAA detection data comprehensive analysis method, and relates to the technical field of detection, and the method comprises the following steps: obtaining the first element content, neutron absorption cross section, environment temperature variation and humidity of a detected sample; adjusting a ray self-absorption correction coefficient based on the first element content, adjusting flux distribution based on a neutron absorption cross section, calibrating a peak position based on an environment temperature variation, and correcting a background based on environment humidity. According to the method, through processing according to conditions, when relevant parameters exceed threshold values, modes such as cooperative calculation and simulation are adopted, otherwise, standard values are used, accurate comprehensive analysis of PGNAA detection data is achieved, and the accuracy and adaptability of detection results are improved.

A rotor (1) for an electrical axial flux machine (2) that can be operated as a motor and / or generator. The rotor includes a support (3), a plurality of magnet elements (4) arranged against, on, or in the support (3) and running radially from the interior outwards, the magnet elements (4) being magnetized in a circumferential direction and being arranged individually or in groups in series around the circumference with alternating opposing magnetization directions, and a plurality of flux conduction elements (5) which conduct the magnetic flux and are arranged against, on, or in the support (3) and around the circumference, between the magnet elements (4). A flux distributing element (6) which distributes the magnetic flux is arranged between at least one of the magnet elements (4) and a flux conduction element (5) that is arranged adjacently thereto in the circumferential direction.

An aspect of the present disclosure relates to methods and systems for enhancing the flux distribution on a heliostat receiver target. A plurality of mirrors in a heliostat array are caused to vibrate at respective different frequencies. One or more images are captured of the total flux on a heliostat receiver target. Fast Fourier Transforms are performed in real time with respect to the one or more images of the total flux on the heliostat receiver target to obtain frequency domain information. A real time determination is made of the flux contribution by a given individual mirror using the frequency domain information. A desired total flux distribution is determined. One or more of the plurality of mirrors in the heliostat array are caused to be oriented to obtain the desired total flux.

The present invention provides a rapid prediction method for the aerodynamic / structural coupled thermal environment along the flight envelope, belonging to the technical field of coupled thermal environment prediction. It includes: S1. Discretize the flight envelope of the aircraft to obtain a dataset of flight envelope state points; S2. Obtain the thermal flux distribution data of the aircraft structure skin; S3. Obtain the temperature distribution data of the aircraft structure at the state points; S4. Feed back the temperature distribution data of the aircraft structure at the state points into the prediction of the aerodynamic thermal environment as the wall temperature boundary condition for aerodynamic heat calculation; S5. Perform calculations along the flight envelope; S6. Repeat steps S2 to S5 until the calculations for all flight envelope state points are completed to obtain the aerodynamic / structural coupled thermal environment database of the whole aircraft. It solves the technical problem in the prior art that the calculation cost and efficiency are low when performing high-precision coupled numerical simulations for the entire flight envelope.

To provide a method for calculating a nuclear constant in consideration of an influence of a heterogeneous medium in a core axial direction.SOLUTION: The calculation method is a calculation method executed by a computer, and includes calculating a first neutron flux distribution in an axial direction of a reactor core by three-dimensional non-homogeneous single assembly calculation, and calculating a second neutron flux distribution in the axial direction of the reactor core by three-dimensional homogeneous single assembly calculation. A step of calculating a second neutron flux distribution in the axial direction of the core, a step of calculating an axial distribution of a correction factor such that a reaction rate based on the first neutron flux distribution can be reproduced by a three dimensional homogeneous single cluster calculation to which a correction factor of a nuclear constant based on a ratio between the first neutron flux and the second neutron flux is applied; The method includes a step of updating the second neutron flux distribution, a step of calculating the axial distribution of the correction factor until the correction factor converges, and a step of repeating the step of updating the second neutron flux distribution.SELECTED DRAWING: Figure 1

A kind of detection method and detection equipment of flux distribution condition can be used to show the flux of electronic component surface.For the bump area of electronic component, according to the predetermined thickness of the applied flux, to select the first bump area imaging mode with low angle of light irradiation or the second bump area imaging mode with high angle of light irradiation.The first bump area imaging mode adopts the imaging angle of 80-100 degrees with the carrier plate of the electronic component to obtain the image.The second bump area imaging mode adopts the imaging angle of 60-70 degrees with the carrier plate of the electronic component to obtain the image.For the non-bump area of electronic component, high angle of light irradiation is used and the imaging angle of 80-100 degrees is used to obtain the image.In this way, the flux distribution of bump area and non-bump area can be correctly shown under different detection conditions.

The application belongs to the technical field of motor design, and discloses a mine vernier motor topology construction method based on magnetic conductance harmonic reconstruction. First, a mathematical representation model of torque density, power factor and torque fluctuation about the characteristic parameters of magnetic conductance harmonic is established to reveal the internal correlation mechanism. On this basis, by actively introducing new-order beneficial magnetic conductance harmonics in the initial magnetic conductance harmonic set, a comprehensive optimized target magnetic conductance harmonic set is constructed, and the amplitude and phase of each key magnetic conductance harmonic in the target magnetic conductance harmonic set are reconstructed to enhance the positive contribution to the average torque, suppress the torque ripple component and optimize the armature flux distribution, so that the collaborative improvement of high torque density, high power factor and low torque fluctuation is realized in the mine low-speed direct drive scene. The application breaks through the limitations of traditional forward design, realizes the reverse construction from the electromagnetic performance target to the topology structure, is easy to achieve global optimization, shortens the design cycle and reduces the development cost.

The invention relates to a rotor (1) for an axial flux electric machine (2) operable as a motor and / or generator, the rotor comprising a support (3), a plurality of magnet elements (4) arranged against, on or in the support (3) and extending radially outwards from the inside, the magnet elements (4) being magnetized in a circumferential direction and arranged in series in alternating opposite magnetization directions individually or in groups around the circumference, and a plurality of flux conducting elements (5) conducting magnetic flux and arranged against, on or in the support (3) and between the magnet elements (4) around the circumference. According to the invention, between at least one of the magnet elements (4) and a flux conducting element (5) arranged adjacent to the magnet element in the circumferential direction, a flux distributing element (6) is arranged distributing the magnetic flux.

The invention discloses a combined discrete longitudinal standard method for eliminating a ray effect, and relates to the technical field of nuclear reactor calculation and inertial confinement fusion numerical simulation. The method comprises the generation and application of a combined discrete longitudinal mark group. The combined discrete longitudinal mark group comprises a basic discrete longitudinal mark group and a dual discrete longitudinal mark group which are generated based on dual grids; the basic discrete longitudinal scale group takes the direction of algebraic average of four vertex vectors of a spherical quadrilateral of the spherical subdivision grid as the direction of the discrete longitudinal scale group, and the integral weight is the area of the spherical quadrilateral; a set of dual discrete longitudes is generated from dual grids of the spherical subdivision grid. Establishing a conservation type interpolation algorithm between the basic discrete longitudinal scale group and the dual discrete longitudinal scale group; and based on an alternating calculation method and a conservation type interpolation algorithm, applying the combined discrete longitudinal standard group to a numerical solution program of the transport equation set to obtain angular flux distribution of the transport equation set for eliminating the ray effect. According to the method, the ray effect problem existing in a discrete longitudinal standard method can be effectively eliminated.

The present invention relates to the technical field of computer-aided design, and specifically to a transformer structure optimization method and system based on energy efficiency simulation analysis, comprising the following steps: setting flux sensors in multiple regions of a core stacking structure, collecting multi-faceted flux density change trends, extracting gradient features, and generating flux gradient distribution data. In the present invention, based on the collection of multi-region data by flux sensors, the flux density gradient distribution is obtained, the change rate of the sudden increase region is extracted, the local flux offset angle is calculated, the offset is screened according to the flux guidance threshold, dynamic prediction is achieved, the etching depth and angle correction are adjusted in combination with the flux diffusion radius, the flux diffusion path is optimized, the local flux accumulation is reduced, the core stacking direction is adjusted to reduce local losses, the electromagnetic loss changes are calculated in combination with the load state, the optimized energy efficiency loss value is obtained, the flux distribution is balanced, the energy efficiency is improved, the heat dissipation capacity is improved, the manufacturing cost is reduced, and the structural adaptability is improved.

An apparatus (460) and a method for manufacturing a permanent magnet (250, 350) are described. The apparatus (460) includes (a) a mold (470); (b) a first magnetic device (461) and a second magnetic device (464); (c) a mold; and (d) a magnetic element (480) for spatially guiding and / or changing magnetic flux. The magnetic element is located in a region extending between the first magnetic device and the second magnetic device and is movably supported in the region so that in a first position (480a), a first spatial magnetic flux distribution is provided, and in a second position (480b), a second spatial magnetic flux distribution different from the first spatial magnetic flux distribution is provided. A magnet (350) manufactured using the method, an electromechanical transducer (140) including such a magnet (350), and a wind turbine (100) are further described.

A method includes receiving a plurality of data sets, wherein the plurality of data sets includes a measured low-energy electrons that is less than or equal to 1.5 MeV, and wherein the plurality of data sets further includes data associated with solar wind. The method further includes receiving measured data associated with higher electron events of greater than or equal to 2 MeV. In response to a selection of at least two data sets from the plurality of data sets, and further in response to a selection of one or more machine learning (ML) algorithms from a plurality of ML algorithms, and further in response to a selection of a number of window size, a plurality of ML models is generated based on the selections as an input and the measured data associated with higher electron events of greater than or equal to 2 MeV as its output.

The invention discloses a global-local coupling refined burnup calculation method for a high-flux reactor irradiation duct. The method comprises the following steps: 1, global reactor core calculation: carrying out component few-group homogenization section calculation and reactor core steady-state simulation by using a deterministic theory program to obtain neutron flux distribution; 2, local target transportation: establishing a fine local model by using a Monte Carlo program with reactor core flux distribution as a boundary condition, and carrying out high-precision transportation calculation to obtain fine neutron flux and cross section of the target; and 3, target burnup calculation: carrying out target burnup analysis by utilizing Monte Carlo output. And 4, burnup of other components: calculating burnup of other components of the non-irradiation target piece through a deterministic theory program. And 5, coupling iteration: determining a target section of a theoretical program by using Monte Carlo high-precision section correction, and restarting reactor core calculation to realize global-local burnup coupling of the whole reactor core. And 6, circularly judging: if the target burnup is not reached, repeating the steps 1-5, otherwise, ending. The method can solve the problem of section deviation caused by difficulty in obtaining local fine neutron-flux density and distortion of boundary conditions by a deterministic theory program, improves the target burnup calculation precision and efficiency, and is suitable for high-flux reactor irradiation target analysis.

The application provides a high-resolution emission flux inversion system and method, and the method comprises the following steps: collecting multi-source atmospheric data; determining a distance weight function to calculate the correlation between grid points in a simulation area and observation values; generating a set sample satisfying physical constraints of an assimilation object; performing singular value decomposition dimension reduction on the set sample; replacing tangent linearity and accompanying mode of a regional air quality model with a hybrid assimilation method to obtain an analysis increment of a spatial grid point in the simulation area; obtaining revised concentration and flux distribution data; and performing emission flux inversion on the data to estimate emission flux per unit time at different positions. The hybrid assimilation method is used to replace the traditional four-dimensional variation mode, so that the calculation and programming difficulty is reduced; the four-dimensional sliding sampling algorithm is used to generate a set sample and reduce the dimension, so that the consumption of calculation resources is controlled; the combined assimilation algorithm is introduced to optimize the concentration and flux field, and high spatiotemporal resolution emission flux precise inversion is realized.

This invention discloses a navigation and positioning method and apparatus based on muon detection time series correction. The method includes: determining a time interval model for calculating the simultaneous detection of a specific muon event by a mobile receiver and a reference receiver based on the muon flux distribution; performing initial clock synchronization on the reference receiver and the mobile receiver; acquiring time series of the specific muon event detected by the reference receiver and the mobile receiver, respectively; correcting the time series of the reference receiver and the mobile receiver, respectively; calculating the time interval between the mobile receiver and the reference receiver based on the corrected time series, and calculating the muon flight distance based on the time interval; and calculating the positioning information of the mobile receiver based on the muon flight distance. This invention, based on muon detection and time series matching, achieves identification based on a specific muon event sequence and uses specific muon events to correct the time series, thereby improving the accuracy of navigation and positioning based on muon detection.

This application relates to the field of high-power high-frequency power supply technology, and discloses a method and device for high-frequency application of planar transformers based on nanocrystalline magnetic cores. The method first establishes a simulation model and collects multi-physics field measured data, fusing them to form a full-dimensional multi-field dataset to accurately locate flux concentration areas, loss hotspot areas, and stress distortion areas. Then, it extracts flux features, constructs a magnetic domain-flux-loss coupling feature vector, and locates abnormal regions. Subsequently, it prepares a gradient nanocrystalline magnetic core based on the abnormal data, optimizes the core structure and winding topology to match the current and flux distribution. Next, it integrates the core and windings, adjusts the magnetic domain flux distribution, and debugs the matching state. Finally, it verifies the optimization effect through retesting, iteratively updates parameters, and solidifies a standardized parameter system. This application can effectively suppress high-frequency eddy current losses, improve uneven flux distribution and local overheating problems, enhance transformer operating efficiency and reliability, and achieve low-loss, high-stability high-frequency operating performance.

The invention belongs to the technical field of motor design, and discloses a mining vernier motor topology construction method based on magnetic conductance harmonic reconstruction. The method comprises the following steps: firstly, establishing a mathematical representation model of torque density, a power factor and torque ripple about magnetic conductance harmonic characteristic parameters, and revealing an internal correlation mechanism of the mathematical representation model; on the basis, beneficial magnetic conductance harmonics of a new order are actively introduced into the initial magnetic conductance harmonic set, a comprehensively optimized target magnetic conductance harmonic set is constructed, and the amplitude and phase of each key magnetic conductance harmonic in the target magnetic conductance harmonic set are reconstructed, so that the target magnetic conductance harmonic set is obtained. Therefore, the forward contribution to the average torque is enhanced, the torque pulsation component is suppressed, and the armature flux linkage distribution is optimized, so that the cooperative improvement of high torque density, high power factor and low torque ripple is realized in a mining low-speed direct drive scene. According to the method, the limitation of traditional forward design is broken through, reverse construction from an electromagnetic performance target to a topological structure is realized, global optimum is easy to achieve, the design period is shortened, and the development cost is reduced.

A spatially-resolved thin-film deposition system and method are disclosed. The system includes a feed-in subsystem configured to deliver precursor material to a crucible under vacuum conditions, a crucible housing containing a crucible operable at a temperature sufficient to vaporize the precursor material, a transfer-tube / manifold assembly fluidly coupled to the crucible, and a nozzle array coupled to the manifold and configured to direct vaporized precursor material toward a substrate. The transfer-tube / manifold assembly is maintained at a temperature sufficient to maintain the precursor material in a vapor phase and to inhibit condensation along the vapor path, with closed-loop temperature control maintaining stability within about ±0.5° C. The nozzle array comprises spatially resolved outlets arranged to regulate vapor-flux distribution across large-area or small-area substrates, achieving film-thickness uniformity within about or better than ±(3-4)% for substrates of about 1216 mm width and within about or better than ±2% for substrates of about 300 mm width. The system may deposit films having thicknesses of ≤4 μm, and in some embodiments from about 1.0 μm to about 3.0 μm, at deposition rates corresponding to substrate cycle times of about 3 to about 20 minutes, under vacuum pressures of about 10−6 to about 10−Torr.

The present invention discloses a method for converting a phase space file into an input file available to other programs, comprising the steps of: reading phase space files generated by different programs to generate an accurate geometric model; defining the physical properties of each tissue and substance in the geometric model; solving the Boltzmann neutron transport equation by coupling calculations with deterministic methods and probabilistic methods to obtain the distribution of flux; in the simulation process, recording the interaction between each particle and the substance, and calculating the distribution of dose in different tissues and positions; verifying the consistency of the simulation results with experimental data, and performing calibration; and outputting input files available to other programs. The present invention can read phase space files generated by different programs, output the required particle information according to the required deterministic and probabilistic coupled transport programs, and can also output the file into the phase space file format defined by the IAEA for use as an input file of the program.

The application belongs to the technical field of permanent magnet motor modeling, and discloses a mathematical modeling method of an asymmetric interior permanent magnet motor, which specifically comprises the following steps: considering that the permanent magnet axis of the asymmetric interior permanent magnet motor is ahead of the maximum reluctance axis by 45 degrees of electric angle, selecting the permanent magnet axis as a reference direct axis, and establishing an air gap distribution function of the asymmetric interior permanent magnet motor; according to the air gap distribution function, successively establishing winding magnetic potential, magnetic density and flux distribution functions under the action of A-phase, B-phase and C-phase currents, and calculating an inductance matrix of the asymmetric interior permanent magnet motor; performing park transformation on the motor model in a three-phase coordinate system to obtain a mathematical model of the asymmetric interior permanent magnet motor in a corresponding dq coordinate system. The application realizes the establishment of the mathematical model of the asymmetric interior permanent magnet motor considering the magnetic axis offset, and provides a model basis for the control method design and operation performance analysis of the asymmetric interior permanent magnet motor with improved torque component utilization.

The invention discloses a physical thermal coupling calculation method, device and equipment based on a dynamic relaxation factor. The method comprises the following steps: initializing a parameter NLCR; carrying out neutronics physical calculation to obtain neutron flux distribution or power of the calculation grid; carrying out thermohydraulic calculation to obtain moderator density and fuel temperature in the calculation grid; if the number of iterations is exactly divided by the parameter NLCR, adding one to the number of iterations, skipping to the neutronics physical calculation step to carry out the next iterative calculation, otherwise, continuing to execute the subsequent steps; and calculating the relative deviation of the physical quantity, if the relative deviation of the physical quantity is smaller than or equal to the relative deviation of the corresponding physical quantity obtained by the previous iterative calculation, adding one to the number of iterations, and carrying out the next iterative calculation, otherwise, calculating the relaxation factor of the Anderson acceleration algorithm, and updating the corresponding physical quantity of the computational grid. According to the method, the dynamic relaxation factor is applied to the reactor core physical thermal coupling iterative calculation, and the multi-physical coupling calculation efficiency is improved.

The present application discloses a method and apparatus for analyzing an emission energy spectrum of an X-ray tube assembly, and a storage medium. The method comprises: setting relevant parameters of key structures in a target model, and setting different incident electron energies of electron beams incident on the target model, wherein the target model is a pre-constructed simplified model corresponding to the X-ray tube assembly, the key structures comprise an X-ray tube window, an insulating oil layer, and a tube assembly window, and the relevant parameters comprise material density, material thickness, and structural cross-sectional area; using Monte Carlo software to calculate flux distributions of X-rays exiting the target model under the condition of different incident electron energies; analyzing the flux distributions to determine emission energy spectra of the X-rays exiting the target model when the electron beams having the different incident electron energies are incident on the target model; and on the basis of the emission energy spectra, determining whether the X-ray tube assembly meets design requirements.

The invention discloses an X-ray tube assembly emergent energy spectrum analysis method and device and a storage medium. The method comprises the following steps: setting related parameters of a key structure in a target model, and setting different incident electron energies of electron beams incident to the target model; wherein the target model is a pre-constructed simplified model corresponding to the X-ray tube assembly; the key structure comprises an X-ray tube window, an insulating oil layer and a tube assembly window; the related parameters comprise material density, material thickness and structure cross section area; calculating flux distribution of X-rays emitted from the target model under different incident electron energy conditions by using Monte Carlo software; analyzing the flux distribution, and determining the emission energy spectrum of the X-ray emitted from the target model when the electron beams with different incident electron energies enter the target model; and judging whether the X-ray tube assembly meets design requirements or not based on the emergent energy spectrum.

The application provides a comprehensive energy efficiency evaluation method and system for a smart park, comprising: constructing a nonlinear metabolic matrix reflecting the energy correlation relationship between devices, and solving the optimal metabolic flux distribution through mixed integer nonlinear programming; defining an interaction rule library of the metabolic network, dynamically triggering the rules and adjusting the real-time metabolic flux according to real-time sensor data; calculating the quantitative values of each energy efficiency index according to the real-time metabolic flux, quantifying the uncertainty through fuzzy entropy theory, dynamically allocating the multi-objective weight, and calculating the comprehensive energy efficiency score; calculating the quantitative values of each energy efficiency index under the optimal state according to the optimal metabolic flux distribution, comparing the fuzzy entropy, determining the energy efficiency index to be optimized, identifying the high-risk and potential risk, and formulating the optimization strategy. The application considers various devices and energy flow conditions in the park, accurately reflects the energy efficiency level of the system, dynamically adjusts the evaluation according to real-time data, identifies and solves the uncertainty factors of the energy system, and ensures the efficient and stable operation of the system.