57 results about "Energy variation" patented technology

The invention relates to the technical field of fault detection, in particular to an intelligent sensing online monitoring system and method for a ring main unit, and the system comprises an energy collection module, a sudden change analysis module, an abnormity locking module, a risk partitioning module and a link synchronization module. According to the method, an energy parameter is formed through 50 millisecond sampling period integration, a short-time energy change characteristic is captured, an abnormal segment is extracted based on a sudden change rate threshold value, an energy change direction and sudden change amplitude are extracted to lock an abnormal starting point, a leakage current instantaneous value is continuously collected, and a maximum amplitude and an average amplitude are extracted to calculate offset quantification insulation fluctuation. And calling time window data to calculate an amplitude fluctuation rate, executing multi-threshold judgment and evaluation of a degradation degree, packaging an energy parameter, an amplitude offset and insulation grade information in combination with an offset, executing synchronization consistency to correct node deviation, ensuring reliable data synchronization, and improving insulation trend identification sensitivity and abnormal state monitoring accuracy.

The invention discloses an underground disease detection method and system based on energy analysis, and relates to geological disasters. The method comprises the steps that seismic signals of an underground structure are acquired; dividing the seismic signals into different time windows, wherein each time window corresponds to different underground depth ranges; calculating the energy spectrum of each signal in each time window; the energy change rate P of each channel of signal is calculated by comparing the energy spectrum of each channel of signal in each time window with the energy spectrum of each channel of signal of the known dense stratum; performing Hilbert-Huang transform on the acquired seismic signal to obtain an IMF component energy distribution structure chart and Hilbert marginal spectrum features; according to the energy change rate P, the IMF component energy distribution structure and the Hilbert marginal spectrum characteristics, the underground disease type and position are judged. Aiming at the problems that traditional frequency analysis is limited in deep structure recognition precision and different types of holes, loose bodies and the like are difficult to accurately distinguish, different types of underground diseases are accurately recognized, and the spatial positions and depth ranges of the underground diseases are positioned.

The invention discloses a method for accurately predicting upheaval deformation of adjacent tunnels caused by foundation pit excavation by considering the influence of soil friction, which comprises the following steps of: firstly, determining size parameters of a foundation pit and an existing tunnel and physical and mechanical parameters of the tunnel and a soil body, and determining a stress mode of the tunnel and a model sketch of interaction of the foundation pit and the tunnel; determining the additional stress of the tunnel; then establishing a total energy formula of a tunnel upheaval deformation system of a Pasternak foundation model considering soil friction, and obtaining a tunnel upheaval deformation w matrix analysis based on an energy variation principle; and finally, according to an Euler-Bernoulli beam theory, a bending moment expression and a shearing force expression of the tunnel are obtained. According to the method, based on the Pasternak foundation model, the influence of axial soil body friction of the tunnel on tunnel deformation is considered, so that the calculated data better conform to the measured value. The method is simple and practical in matrix analysis, and has guiding significance for predicting the upheaval deformation of the adjacent tunnel caused by excavation of the foundation pit.

The invention relates to the technical field of line loss assessment, in particular to a power system line loss assessment method and system based on big data processing, and the method comprises the following steps: collecting voltage, current and phase angle signals of a power supply section, carrying out the frequency domain transformation, extracting the amplitude and phase of a frequency component, and generating a frequency spectrum feature set; energy spectrum characteristics and a migration sequence are calculated to analyze spectrum form stability, a risk section is identified by combining a power flow direction and an energy migration included angle difference, and a line loss assessment result is generated by combining a gravity center drift trend and an energy change sequence. Energy spectrum features and migration sequences are extracted to describe power grid energy distribution changes, an included angle difference between a power flow direction vector and an energy migration direction is calculated to screen an abnormal section, an energy drift trend is analyzed in combination with a frequency spectrum gravity center track, line loss real-time quantification and area positioning are achieved, and abnormal loss identification precision and operation evaluation stability and reliability are improved.

This application discloses a method and system for detecting underground defects based on energy analysis, which involves geological hazards. The method comprises the following steps: obtaining seismic signals from underground structures; dividing the seismic signals into different time windows, each corresponding to a different depth range underground; calculating the energy spectrum of each signal within each time window; calculating the energy change rate P of each signal by comparing the energy spectrum of each signal within each time window with the energy spectrum of each signal in a known dense formation; performing a Hilbert-Huang transform on the obtained seismic signals to obtain an IMF component energy distribution structure diagram and Hilbert marginal spectrum characteristics; and determining the type and location of underground defects based on the energy change rate P, the IMF component energy distribution structure, and the Hilbert marginal spectrum characteristics. Given the limited accuracy of traditional frequency analysis in identifying deep structures and the difficulty in accurately distinguishing between different types of defects, such as cavities and loose bodies, this application accurately identifies different types of underground defects and locates their spatial location and depth range.

The invention discloses a quality control method for receiving a single-shot excitation effect by a node instrument based on cabled arrangement. The quality control method comprises the following steps: step 1, calculating excitation energy of an excitation point at different offset distance positions; 2, fitting calculation is carried out on data of different offset distances and excitation energy, and the range of the offset distance and the excitation energy corresponding to the excitation energy change stable area are determined; 3, setting a first transverse cable arrangement to control the range of a first three-dimensional quality control area in the acquisition work area; 4, taking the attenuation rule of excitation energy along with the offset distance as the evaluation standard of the three-dimensional single shot record in the first three-dimensional quality control area; 5, the offset distance range and the energy value are optimized again; and 6, respectively setting a plurality of transverse cable arrangements to realize quality control of the excitation effect of the excitation points in the whole acquisition work area. According to the invention, the quality of seismic acquisition data can be improved, potential safety hazards caused by seismic exploration can be reduced, and high-quality data can be provided for seismic data processing.

Determining operational energy losses in a liquefied gas transport vessel The invention relates to a method for determining (10) operational energy losses (Df, Ds) over a time interval, of a liquefied gas transport vessel equipped with a liquefaction system, comprising steps of: - calculating (12) an amount of energy consumed (D1) by an energy consumer of the vessel, - calculating (14) an energy variation (D2) as a function of a temperature variation of the liquefied gas, - adding (16) the energy variation (D2) to the amount of energy consumed (D1) resulting in an effective operational energy loss (Df), and when the liquefaction system is activated over the time interval: - calculating (18) an energy saving (D3) by the liquefaction system, and - adding (20) the energy saving (D3) to the effective operational energy loss (Df),resulting in an estimated operational energy loss (Ds) that would have been observed without the activation of the liquefaction system. (Figure 1),

The invention discloses a gas detection device and method based on absorbed electron energy, and belongs to the technical field of gas sensing and detection. According to the method, electrons emitted by an electron emission source enter a gas chamber containing mixed gas to be detected, the gas absorbs the electrons with specific energy, particles at a lower energy level jump to an upper energy level, the absorbed specific electron energy is used for marking the gas, and the gas concentration is reversely deduced according to the energy variation. The method has the remarkable advantages that the electron energy is used for exciting the gas to complete the transition of the gas energy level, different energy electrons emitted by the electron emission source have continuity, the change of the current representation number corresponds to the change of the electron energy absorbed by the gas, and the gas is distinguished according to the difference of the absorbed electron energy.

The present application relates to a kind of theoretical detection methods for determining local void of monolithic track bed, comprising the steps of: obtaining train-monolithic track bed-lining-ground coupling vibration equation according to the control equation of rail, monolithic track bed and lining and the dynamic balance equation of train, the vertical acceleration of car body is calculated using Newmark algorithm;The Hilbert-Huang transform spectrum of the vertical acceleration of car body is obtained;According to the energy change of the Hilbert-Huang transform spectrum of the imf2 decomposition curve under the void state, the position of the local void area of monolithic track bed is judged.The beneficial effects of the present application are: the position of the local void area of monolithic track bed can be judged according to the energy value change of the Hilbert-Huang transform spectrum of the vertical acceleration of car body imf2;Whether there is track bed void and the starting position of void can be judged, and the severity of void length can be qualitatively estimated according to the length of energy value change, which helps to reduce the operation and maintenance cost of subway track.

There is provided herein a method that involves adapting a user selected song to reflect the estimated energy variation contained in a video work so that the selected song has energy levels that are comparable with those exhibited in the video and can be played as a soundtrack. In some embodiments a concept time line and / or a score chart will be formed and used to define the operations of an adaptation function which adjusts the audio work to match at least approximately the action on the video.

The invention relates to a low-strain detection waveform analysis method fused with time-frequency feature extraction, and the method comprises the steps: carrying out the segmentation processing of a collected low-strain waveform signal on a time axis, detecting the energy change rate and starting time of each time segment, screening out signal segments which are remarkably different from background noise, and forming a local feature signal set; analyzing the occurrence interval, duration and energy change trend of each characteristic signal, identifying related signals belonging to the same potential damage process, and generating a time association chain; based on the time association chain and the multi-band features, performing consistency analysis on the performance of each feature under different time-frequency dimensions, retaining signals which are stable in both time and frequency, and rejecting accidentally prominent isolated anomalies in a single domain to obtain a reliable feature set of low-strain detection; and tracking the change trend of the reliable features in time and frequency, judging the occurrence and development of low-strain damage according to the evolution rules of the features in different stages, and outputting a detection result.

The application discloses a kind of high-efficiency face milling cutter machine tool and cutting energy variation characteristic identification method, including step one, according to cutting force waveform curvature mutation and voltage signal mutation, cutting period calculation is combined, and milling cutter cutting, cutting period is divided, step two, utilize the energy consumption data of idle period before milling, separate out additional energy consumption only by cutting force excitation generated, step three, extract the time-frequency characteristic parameter of cutting force energy consumption, identify high-efficiency milling cutter cutting energy variation characteristic, step four, according to the ratio of cutting energy consumption and machine tool energy consumption mean square root value, obtain the energy efficiency in machine tool cutting process, through in-depth analysis to these dynamic characteristics, can provide theoretical basis for optimizing cutting parameters and improving production efficiency, and then realize the maximization of energy efficiency in actual production, also provide a reliable verification method for the verification of energy consumption dynamic model, the data obtained by online monitoring can test the accuracy and effectiveness of energy consumption dynamic model.

The present disclosure relates to a method and device for monitoring and warning of rock burst based on the time series characteristics of ground sound. The method includes: generating a frequency change gradient sequence based on a frequency time series sequence, generating an energy change gradient sequence based on an energy time series sequence, determining whether the frequency change gradient sequence and the energy change gradient sequence meet a first preset condition, and obtaining a first judgment result; determining the first frequency maximum value in the frequency time series sequence, determining the first energy maximum value in the energy time series sequence, determining whether the first frequency maximum value meets a second preset condition, and obtaining a second judgment result; determining the first difference between the first time node and the second time node, determining whether the first difference meets a third preset condition, and obtaining a third judgment result; issuing a warning based on the first judgment result, the second judgment result, and the third judgment result. This solution improves the timeliness and accuracy of rock burst warning.

The application discloses a photolithography machine multi-light-source cooperative high-precision exposure control system and relates to the technical field of photolithography machine control. The initial energy parameters of each light source are acquired, a coupling characteristic set of energy variation and light spot appearance variation is constructed, light intensity error, phase error and light spot distortion error are taken as inputs, a time sequence offset matrix between the light sources and a light source energy compensation matrix are respectively generated, a light source cooperative error model is constructed through matrix superposition and eigenvalue decomposition, exposure disturbance obtained by real-time monitoring of the photolithography machine is input into the error model, the final target exposure compensation parameters are obtained by using a quadratic optimization algorithm under a constraint condition after the preliminary compensation amount is obtained, the light source energy output, the light path phase and the pulse trigger time sequence are cooperatively adjusted according to the target exposure compensation parameters, the energy deviation, the phase drift and the time sequence mismatch can be simultaneously reduced, the exposure stability and the pattern shaping precision are significantly improved, and the application is suitable for high-resolution and multi-light-source photolithography equipment.

The invention belongs to the technical field of coal mine underground reservoirs, and particularly relates to a design method for a flat plate type artificial dam body of a coal mine underground reservoir. Comprising the steps that strength parameters of the artificial dam body after performance degradation in the complex hydraulic environment are determined; an artificial dam body three-dimensional thick plate elastic mechanical model is constructed, boundary conditions of the artificial dam body three-dimensional thick plate elastic mechanical model are determined, the mechanical model is solved through an energy variational method, and the internal stress distribution condition of the artificial dam body is determined; constructing an artificial dam body stretching-shearing composite yield criterion; determining an artificial dam body design scheme feasible region based on a stretching-shearing composite yield criterion; and determining a reasonable design depth range of the artificial dam body cutting based on rigidity matching and shear resistance. According to the method, the stress distribution of the artificial dam body of the underground reservoir can be accurately obtained, accurate identification of different damage types can be realized, the reasonable slotting depth can be determined, the coordination and stability of connection between the artificial dam body and surrounding coal and rock masses can be effectively improved, and thus the stability and reliability of the artificial dam body in long-term operation are ensured.

The invention discloses a suspension cable type crossing frame bearing cable optimization type selection method based on the law of conservation of energy. The method comprises the following steps: S1, carrying out related setting on a dynamic impact process when a suspension cable type crossing frame generates line displacement and line breakage accidents, and simplifying problems; s2, calculating a gravitational potential energy formula of the wire and the bearing cable before an accident working condition, namely a safe paying-off working condition; s3, analyzing the energy change rule of the wire and the bearing cable after the accident condition occurs and when the net falling wire is in contact with the bearing cable and jointly moves to the lowest point, and calculating the elastic potential energy variable of the bearing cable; s4, based on the law of conservation of energy, combining the energy equations before and after the accident to obtain a calculation formula of the impact coefficient and the comprehensive safety coefficient; according to the method, the energy change rule of the impact of the drop wire on the bearing cable is analyzed, a dynamic motion equation and a mechanical calculation model of the suspension cable type crossing frame in the accident state are formed, and the problem that the selection precision of the bearing cable is low due to the fact that an existing calculation method is rough when the impact coefficient is selected is solved.

The present application discloses an electric energy dispatching method based on railway mobile energy storage, which relates to the field of rail transit power grid. The method comprises: obtaining energy change parameters of each node in the power grid, the energy change parameters including at least one of energy injection and energy output; determining the energy interaction parameters between the two adjacent nodes based on the respective energy change parameters of the two adjacent nodes to obtain the regional energy balance of the two adjacent nodes, wherein the larger the energy interaction parameter, the higher the regional energy balance; determining the regional frequency deviation of each node based on the energy injection and energy output of each node; and obtaining the starting and ending points of electric energy transportation in the power grid based on the regional energy balance and regional frequency deviation. This method can effectively improve the adaptability and stability of the power grid to the volatility of renewable energy generation and enhance the reliability of power supply.

The invention discloses a power system fault risk detection method and device, equipment and a storage medium. The method comprises the steps of obtaining operation data of a power system; on the basis of the operation data, calculating the energy change rate of each element according to three types of elements, namely a branch, a generator and a load; constructing a feature vector based on the energy change rate; the feature vectors serve as model input, a preset dichotomy XGBoost model is adopted to carry out electric power system risk detection, and detection results are obtained, and the detection results comprise risk and no risk; and when the detection result is that a risk exists, performing risk positioning by adopting a preset multi-classification XGBoost model based on the feature vector to obtain the position of an element with a fault risk. According to the invention, the timeliness and accuracy of fault risk early warning are improved, and reliable operation of the power grid is effectively guaranteed.

The invention discloses a nanometer material performance prediction method and system based on deep learning, and the method comprises the steps: obtaining the structure data of a nanometer material, inputting the structure data into a pre-trained structure performance prediction model, and obtaining the configuration space and performance prediction value of the nanometer material; sampling the configuration space by adopting a Monte Carlo method, and if the performance predicted value exceeds a preset threshold value, determining the configuration corresponding to the performance predicted value exceeding the preset threshold value as a candidate sampling point to obtain a candidate sampling point set; calculating an energy value of each sampling point in the candidate sampling point set by adopting a density functional theory, and constructing an energy landscape model according to the energy value of each sampling point; and obtaining energy change data from the energy landscape model, and inputting the energy change data into the optimized structural performance prediction model to obtain a phase change path and a dynamic characteristic prediction result of the nano material. The accuracy and efficiency of performance prediction of the nano material can be improved.

The present invention provides a method for identifying the energy replenishment timing for carbonate rock reservoirs, which includes: collecting the energy change data of a target well during the flowing well period and the stable production stage, and drawing an energy indication curve of the target well based on the energy change data; calculating the energy coefficient of the target well during the flowing well period, and combining the energy change data to obtain the classification result of the natural energy level of the target well according to the energy strength classification standard; dividing the production stage of the target well according to the change trend of the energy indication curve, calculating the energy coefficient corresponding to each production stage, and determining the energy replenishment timing in combination with the natural energy level classification result. On the basis of fully evaluating the mutual relationship between the bottom hole flowing pressure and the cumulative production during the production process of the oil well, through the analysis of the energy indication curves of a large number of production wells on site and in combination with the characteristics of the production dynamic curves, the present invention divides the boundaries of the energy indication curves of oil wells under different natural energy conditions indicating the weakening of the oil well energy and the boundaries for taking effective energy replenishment measures.

The invention discloses a method for discriminating and tracing oscillation types of different mechanisms of a power system based on dynamic energy. The method comprises the following steps: constructing a low-frequency oscillation simulation model of the power system; analyzing the performance characteristics of the low-frequency oscillation mechanism of the power system, and determining the generation mechanism of different types of low-frequency oscillation; system oscillation energy in the low-frequency oscillation process of the power system is constructed, and energy functions of models such as an engine are derived and defined; and discriminating low-frequency oscillation of different mechanisms according to an energy function method, and positioning and tracing a disturbance source. According to the method, the energy function can be applied to the low-frequency oscillation problem of the power system, the oscillation is suppressed and analyzed more comprehensively, and the main disturbance source is judged according to the energy change characteristics of the generator set and the network branch.

The present invention relates to a charged particle beam therapy system comprising: a patient unit (10); an accelerator unit (20) configured to accelerate charged particles; and a beam transport system (30) configured to guide a particle beam having an energy (Ej) between 40 and 450 MeV / u along a corresponding beam trajectory (40e) centered on a central trajectory (40m) to a target (11) located within the patient unit (10), wherein the beam transport system (30) comprises: a bending unit (33) having a gap (33g) between the poles (33p) of a fixed magnetic field dipole, the bending unit being configured to receive and bend the central trajectory (40m) in a bending plane (Y, Z). The beam transport system (30) further comprises an upstream stairer (35u) located upstream of the bending unit (33) and configured to deflect the beam trajectory (40e) from the central trajectory (40m) in a bending plane (Y, Z). The magnitude of the uniform magnetic field (B35) in the upstream stearer (35u) can be controlled to change the entry position (Yij) and entry angle (θ33i) of the beam trajectory at the bending unit entrance (33i) according to the beam energy (Ej) of the particle beam.

The invention discloses a neutral line breakage detection method and system based on third harmonic energy variation, and the method comprises the steps: firstly, extracting the current and voltage of an A-phase equivalent load, calculating the third harmonic component through Fourier decomposition, obtaining the third harmonic energy through calculation, and finally comparing the third harmonic energy with the third harmonic energy calculated at the last sampling time, and finally, calculating a third harmonic variation, comparing the third harmonic variation with a set threshold value, and judging whether a neutral line breaking fault occurs according to a result. According to the method, the neutral line breakage fault and the load fluctuation can be correctly distinguished, and the neutral line breakage detection capability is effectively improved.

The application relates to a time scale-based adaptive wavelet packet method for suppressing wind power, which comprises the following steps: dividing a time domain based on a set time scale, performing adaptive wavelet packet decomposition, and suppressing data exceeding a limit of fluctuation by using an arithmetic average method in adjacent time domains; analyzing the correlation between power components of a hybrid energy storage device based on the characteristics of the energy storage device and the energy distribution of a node, obtaining power components of energy-type and power-type energy storages, and optimizing the capacity of the hybrid energy storage device in combination with maximum charging and discharging power and energy change; dynamically partitioning the SOC of the energy storage device, improving a membership function of fuzzy control, and adopting two-stage fuzzy control to optimize a hybrid energy storage power instruction, so as to reduce the over-limit of the SOC of the energy storage system. The application can effectively suppress power fluctuation, more accurately allocate hybrid energy storage components, effectively reduce the over-limit of the SOC, and improve power quality.

The invention relates to the technical field of winding temperature rise calculation, in particular to a transformer winding hot-spot temperature rise calculation method and system, and the method comprises the steps: building a model of a transformer temperature field under each calculation time step; constructing each temperature distribution matrix, and obtaining each mode and an energy ratio thereof under each calculation time step; numbering each mode under each calculation time step according to an arrangement sequence, acquiring an energy change value of each mode under each calculation time step, and acquiring a weighted energy ratio of each mode under each calculation time step in combination with distribution of energy ratios of each mode with the same number under each calculation time step and a preset neighbor calculation time step; extracting a main mode of each calculation time step; and by analyzing the difference between the energy ratio of each main mode and the weighted energy ratio under each calculation time step, obtaining the duration of the next calculation time step of each calculation time step, and obtaining the temperature rise of the transformer winding hot spot. The invention aims to improve the calculation precision of the winding hot-spot temperature rise while ensuring the calculation efficiency of the winding hot-spot temperature rise.

The invention relates to a method for determining (10) an operating energy loss (Df, Ds) of a liquefied gas carrier vessel equipped with a liquefaction system over a time interval, comprising the following steps:-calculating (12) an amount (D1) of energy consumed by an energy consumer of the vessel; -calculating (14) a change in energy (D2) as a function of a change in temperature of the liquefied gas; adding (16) the energy change (D2) to the amount of energy consumed (D1), resulting in an actual operating energy loss (Df); and when the liquefaction system is activated within the time interval:-calculating (18) an energy savings (D3) of the liquefaction system; and-adding (20) said energy savings (D3) to said actual operational energy loss (Df), resulting in an estimated operational energy loss (Ds) to be observed without activating said liquefaction system.

An energy detection assembly (78) is suitable for an illumination system of a mask inspection system for use with EUV illumination light (3). The assembly (78) has at least one EUV energy sensor device (77) that is embodied such that it captures energy of the illumination light (3) guided along an illumination light beam path. The EUV energy sensor device (77) has at least one energy value sensor and at least one energy variation sensor (79). The energy value sensor serves to capture an illumination energy of the illumination light (3) over an exposure period. The energy variation sensor (79) serves to capture a temporal development of the illumination energy of the illumination light (3) over the exposure period. This results in an energy detection assembly, by means of which an inspection accuracy of the mask inspection system can be improved.

The application relates to the technical field of multi-source flexible grid connection, and discloses a storage multi-module cooperative energy conversion efficiency increasing system and method, the method comprising the following steps: high-frequency sampling of load change data at a load end, and collecting operation state data of each energy conversion unit; time scale analysis of energy change characteristics at the load end, and calculation of dynamic characteristic strength representing rapid energy change; judging whether there is significant energy fluctuation at the load end; if yes, constructing a dynamic response strategy for the load end, comprising the following steps: calculation of dynamic response adaptation indexes of each energy conversion unit; screening of response adjustment units, and calculation of adjustment task weights of each response adjustment unit; based on the corresponding adjustment task weights, controlling each response adjustment unit to perform dynamic response adjustment on the load end. The application can improve the overall conversion efficiency and operation stability of a solid-state transformer in the scene of flexible grid connection and multi-load direct connection.

The invention discloses a fish feeding state recognition method, device and equipment and a medium, and relates to the technical field of intelligent fishery monitoring and signal recognizing.The method comprises the steps that firstly, main modal components are subjected to VMD decomposition and self-adaptive screening according to energy and correlation, then STFT is conducted on the main modal components, and the main modal components are obtained; the VMD and STFT double-layer feature construction strategy can fully excavate the energy change rule in the disturbance signal by using the two-layer feature construction strategy of the VMD and the STFT to keep the energy distribution features of the signal in time and frequency at the same time; secondly, importance weights of different feature channels are learned through channel attention, feature channel responses sensitive to feeding behaviors are enhanced, spatial weight distribution of a spatial attention learning feature map is enhanced so as to accurately position a key area, the design focuses on discriminative features most related to feeding behaviors from the two aspects of time and space, and the accuracy of positioning of the key area is improved. The method focuses on characteristics representing disturbance signals and feeding behavior energy changes, and finally optimal feeding is carried out on the fishes based on the identified feeding state.

The invention discloses a method for comprehensively evaluating wave energy in a region, which belongs to the technical field of wave energy, and comprises the following steps: obtaining a wave numerical model, and obtaining the effective wave height and the average period of waves in a research region in combination with terrain and reanalysis wind field data; calculating the average wave energy flux density and the average wave energy effective wave time according to the effective wave height and the average period of the wave; calculating a wave energy variation coefficient through the average wave energy flow density; and finally, calculating a resource comprehensive score of the wave energy through the average wave energy flow density, the average wave energy effective wave time and the wave energy variation coefficient. According to the calculation method, the available hours, the stability and the like are considered at the same time, so that the resource comprehensive score calculation result of the wave energy is more scientific and reasonable.