254 results about "Effective energy" patented technology

The invention discloses a tunnel construction progress digital twinborn prediction and resource scheduling system and method, relates to the technical field of tunnel construction, and provides the following scheme that the method comprises the steps that real-time monitoring data of a tunnel construction area are collected, the real-time monitoring data comprise equipment position information and process progress quantitative data, and a BIM model of the tunnel construction area is constructed; dividing the equipment position information into a plurality of continuous time windows according to time nodes of the BIM model, and obtaining equipment operation parameters and corresponding energy consumption values in each time window; when the effective energy consumption is calculated, the geological condition grade weight and the construction process reference value are introduced to dynamically correct the initial efficiency coefficient, and meanwhile, the geological condition fluctuation, the equipment performance attenuation and the process connection change in the construction conditions are reflected through the time attenuation coefficient, so that the nonlinear influence of the geological difference and the process adjustment on the energy consumption efficiency is effectively eliminated; the strong relevance between the energy consumption and the progress is established, and a reliable data association basis is provided for progress prediction.

The invention relates to the technical field of intelligent manufacturing, in particular to an electrical manufacturing execution management system based on cloud computing, which comprises a scheduling optimization module, an energy management module, an equipment health and state monitoring module and a production efficiency improvement module. According to the method, accurate scheduling of production resources is realized by capturing electrical production task progress, equipment use conditions, process parameters and energy consumption data, then the operation mode, time and speed of equipment are regulated and controlled, resource allocation is more flexible, the energy consumption data are analyzed by relying on cloud computing, the energy use mode and equipment load are optimized, and the energy utilization efficiency is improved. Effective energy distribution is realized, energy efficiency is improved, equipment faults can be predicted in advance in combination with an equipment health assessment model, a maintenance period is adjusted according to an equipment state, production interruption caused by equipment shutdown is avoided, deep analysis is performed on production scheduling, then a production sequence and resource distribution are adjusted, production efficiency is improved, and production efficiency is improved. And the stability and the flexibility of the production line reach a higher level.

The invention relates to a refrigeration air conditioner control method and system based on a dynamic adjusting algorithm, a low-pressure area and a high-pressure area in a cold-chain logistics transportation cabinet are judged through real-time reference air pressure data of a barometer, and the real-time reference air pressure data of the barometer can be received and analyzed. A sliding window is established, based on the sliding window, a parameter diagram of real-time reference air pressure data is segmented, real-time pressure data in the sliding window is obtained, when the conveying amount of cold air is too large, a low-pressure area can be formed in the cold-chain logistics transportation cabinet, and then more wet hot air is absorbed, so that the interior of the cold-chain logistics transportation cabinet is frosted and frozen; and more effective energy can be consumed. When the conveying amount of the cold air is too small, a high-pressure area can be formed in the cold-chain logistics transportation cabinet, and the preset temperature cannot be reached. Through the air pressure data, the temperature in the cold-chain logistics transportation cabinet can be accurately obtained.

The invention discloses a bare concrete appearance quality evaluation method, which belongs to the field of concrete quality evaluation, and adopts the technical scheme that process data are synchronously acquired in a bare concrete pouring process; obtaining concrete surface appearance index data after demolding; performing time synchronization and spatial inverse registration on the acquired data, and performing gridding association on the appearance indexes and the process data in the corresponding time windows; for each grid unit, extracting vibration effective energy, pumping pressure fluctuation characteristics, template deformation characteristics and environment correction factors from the process data in the corresponding time window and space range, and combining the vibration effective energy, the pumping pressure fluctuation characteristics, the template deformation characteristics and the environment correction factors into a joint characteristic vector; constructing a structural causal model, calculating the cause posterior probability of the appearance defect for each grid, and outputting cause probability distribution of under-vibration, over-vibration, unstable pumping, insufficient template rigidity and environmental sensitization; and generating an appearance quality score according to the cause probability distribution. The method has the beneficial effect that the method for evaluating the appearance quality of the fair-faced concrete is provided.

The invention relates to an intelligent charging station resource scheduling method and system based on data processing, and relates to the field of the vehicle charging technology, and the method comprises the steps: obtaining the remaining energy storage electric quantity; determining required supplementary electric quantity according to the full-load energy storage electric quantity and the residual energy storage electric quantity; determining energy storage demand duration according to the energy storage efficiency and the demand supplementary electric quantity; constructing a permissible energy storage time period and delimiting a unit interval; constructing a historical interval, determining a similar interval in the historical interval according to each unit interval, and determining a historical energy storage electricity price in the similar interval; combining each unit interval according to the energy storage demand duration to construct a simulated energy storage scheme, and determining the overall electricity price of the scheme according to each historical energy storage electricity price in each simulated energy storage scheme; and defining the simulation energy storage scheme corresponding to the scheme overall electricity price with the minimum numerical value as an effective energy storage scheme, and controlling the charging station to perform energy storage scheduling in a unit interval in the effective energy storage scheme. The charging station has the effect of reducing the power utilization cost of the charging station.

The invention discloses a distributed outer node detection method based on energy evaluation and propagation, and belongs to the field of deep learning. The technical problem to be solved by the invention is that graph data in a real scene is generally continuously expanded along with continuous acquisition of external knowledge, and the distribution difference between new nodes and original nodes may cause reduction of the effect of an existing graph neural network method. Meanwhile, an existing out-of-distribution detection method based on softmax confidence score may cause the problem of excessive self-confident posterior distribution of out-of-distribution data. Therefore, the invention provides the distributed external node detection method based on energy evaluation and propagation, and the graph neural network is endowed with the capability of identifying the distributed external nodes. The system comprises an energy-based distribution external evaluation module used for distributing corresponding energy values for different nodes, a structure sensing energy propagation module used for realizing effective energy aggregation, and a joint alignment regularization module used for further guiding a learning process.

The invention relates to the technical field of photovoltaic cooling hydrogen production, and particularly provides a multi-source synergistic spray cooling concentrating frequency division photovoltaic hydrogen production system and a regulation and control method. Accurate separation of solar spectrums is achieved through jacketed pipe frequency division and a reaction pipe, visible light wave bands are converted into electric energy through a photovoltaic module, infrared wave bands are subjected to photo-thermal conversion through a catalytic reaction pipe, surplus heat energy is directly used for the activation process of hydrogen production through water electrolysis, and gradient utilization of solar energy is achieved. And precise temperature control is realized, and the temperature of the photovoltaic panel is stabilized in an optimal interval in combination with a closed-loop temperature control strategy. The wind-solar complementary power supply and the waste heat cascade recovery device synergistically improve the energy utilization rate, and the multifunctional integrated electric control system realizes hydrogen-electricity-heat multi-target scheduling through a dynamic game optimization algorithm and a digital twin simulation platform. The working temperature of a solar cell is stabilized in the optimal efficiency interval, meanwhile, heat energy loss of a traditional system is converted into hydrogen production effective energy, and an efficient and stable solar energy-hydrogen energy conversion system is constructed.

A hydraulic fracturing system and method uses an effective energy model to reflect energy loss in pressurized fracturing fluid passing into and through a wellbore to a reservoir formation during hydraulic fracturing. The model determines effective energy delivered to the reservoir formation as a function of surface energy added to the fracturing fluid to raise the fracturing fluid to a high-pressure state, gravitational potential energy gains in the pressurized fracturing fluid as the fluid travels down to the reservoir formation, and energy losses in the pressurized fracturing fluid as the fluid travels down to the reservoir formation. The effective energy model is applied to a selected reservoir formation and an operational cost for hydraulic fracturing of the selected reservoir formation is selected based on the effective energy model.

A firework shell launching device comprises a gas generator and a launching tube; the upper end of the launching tube is open, and the gas generator is pressed into the launching tube from the lower end and is flush with the bottom end of the launching tube; the gas generator comprises a wire, an electric ignition head, a plugging screw, propellant, a powder cup, a pressure control chamber and a shell; the powder cup is sealed inside the pressure control chamber by the plugging screw, and the powder cup and the side wall of the pressure control chamber are interference fit; the propellant is arranged in the powder cup; the electric ignition head is arranged on the plugging screw, one end of the electric ignition head is connected to the propellant, and the other end is connected to the wire extending outside the launching tube; the utility model has the following beneficial effects: the double-layer structure of the utility model has an effective energy utilization rate, and can be moisture-proof and anti-deterioration; at the same time, it also ensures a stable exit speed, a high control accuracy of the firing height, a high launching success rate, and can be reused and can also be suitable for launching the same or different types of firework shells, effectively reducing the production cost.

The invention discloses a metabolite detection method for diagnosing lithangiuria, and relates to the technical field of metabolite detection. The method comprises the following steps: collecting and preprocessing a urine sample, and generating a composite fluorescence signal based on the preprocessed urine sample so as to obtain a composite function; constructing an orbital function system, and performing projection processing on a composite function to obtain initial orbital energy; based on the initial orbital energy, a mutual exclusion function between metabolites is introduced, an effective energy contribution value is calculated, and a decoupled energy response amount is obtained; converting the decoupled energy response quantity into a concentration estimation value, and generating a rotation response value based on the concentration estimation value; generating a coupling threshold based on the concentration estimation value and the rotation response value; and carrying out risk scoring based on the coupling threshold value to obtain an individual risk score value of the urinary calculi. The invention solves the problems of inaccurate concentration estimation of the metabolite and low metabolite detection precision caused by inaccurate analysis of the metabolite under complex interference conditions in the existing metabolite detection method.

Described are various embodiments of a smart attic ventilation system, and sensor module therefor. Also described are various embodiments of an effective energy storage and delivery mechanism for such systems, for example, when predominantly powered from an integrated solar energy capturing component such as a solar panel, for continuous operation in dark environmental conditions such as at night and / or on cloudy days.

The invention discloses an intelligent multi-source energy collaborative optimization system. According to the method, the efficiency and the economical efficiency of energy management are remarkably improved through the dynamic decision-making capability of the multi-objective optimization engine. The engine is based on real-time energy data and environment variables, deep prediction and reinforcement learning technologies are combined, accurate distribution and dynamic balance of multi-source energy are achieved, for example, when the electricity price fluctuates or the equipment load suddenly changes, the system can rapidly adjust the proportion of electric energy, heat energy and waste heat recovery, energy waste is reduced, and the operation cost is optimized. And meanwhile, the energy recovery module converts traditional waste energy into available resources, the dependence on external energy is further reduced in cooperation with global scheduling of the cloud service platform, and the comprehensive energy efficiency of the enterprise can be improved by more than 20%. The system supports a multi-scene adaptive strategy, takes into account short-term cost control and long-term equipment health management on the premise of ensuring production continuity, and provides an energy solution with high cost performance for industrial and commercial users.

The invention relates to the technical field of roadway supporting, in particular to a roadway hydraulic support resistance-increasing energy-absorbing and impact-stopping method which comprises an energy-absorbing component arranged in a support, a support base used for supporting a roadway bottom plate is arranged below the energy-absorbing component, and a stand column and a support top beam used for supporting a roadway top plate are arranged above the energy-absorbing component. Starting from the energy-absorbing abdicating displacement of the energy-absorbing component, the bearing reaction generated by the energy-absorbing component is increased along with the increase of the abdicating displacement, and the characteristic of resistance-increasing type energy absorption is presented; in the energy absorption abdicating process of the resistance-increasing type energy absorption component, the pressure of the emulsion in the stand column is in the rising trend, but is not higher than the peak pressure of the emulsion at the initial moment of energy absorption starting all the time; under the condition of the same energy absorption amount, the effective energy absorption stroke required by the resistance-increasing type energy absorption component is shorter; according to the stand column provided with the resistance-increasing type energy absorption component, at the end of energy absorption receding, the hard impact bearing reaction peak value generated by the stand column and a support base is smaller than the bearing reaction peak value of a stand column provided with a constant-resistance energy absorption component.

The invention discloses a ship waste heat utilization system and an energy recovery method, and the method comprises the steps: monitoring and collecting waste heat parameters in real time through a multi-sensor array, processing data fluctuation through a self-adaptive filtering algorithm, and carrying out the quality evaluation in combination with an effective energy model; according to the real-time effective energy value, the fluctuation index and the host load, the waste heat resource allocation priority is dynamically adjusted, and a multi-mode waste heat resource allocation strategy is synchronously formulated based on the output predicted by the extended Kalman filtering algorithm; a full-state prediction model based on an ORC system is constructed, and a prediction-optimization-compensation adaptive control framework is established; a heat charging and discharging sequence is optimized based on model prediction control, and energy loss is minimized; according to the method, performance indexes of the whole waste heat utilization system are monitored, control parameters are optimized by using a reinforcement learning algorithm based on real-time data, the optimized parameters are applied to the system, and closed-loop control is performed. The problem of insufficient waste heat utilization is solved, energy loss is remarkably reduced, and the waste heat utilization efficiency of the system is improved.

The invention discloses an electric power system multi-element energy storage planning method and equipment considering extreme disasters, and belongs to the technical field of electric power system planning. Through uniformly describing the operation characteristics of battery energy storage and hydrogen energy storage, the short-time rapid adjustment capability and the long-time large-scale energy transfer capability are integrated into the same planning framework; compared with an existing method which only depends on a single energy storage mode or independently models different energy storage devices, the method can construct effective energy reserve before a disaster, provide continuous power supply support in the disaster and promote rapid recovery of a power grid after the disaster, so that the bearing capacity and the self-healing capacity of the system under the extreme disaster condition are remarkably enhanced; according to the invention, the energy storage construction cost, the maintenance cost and the operation cost in a disaster scene are integrated into a double-layer stochastic programming framework, so that the energy storage configuration can give consideration to both economy and system reliability, and the maximization of energy storage investment income and the synchronous improvement of power supply reliability in a disaster period are realized.

The invention discloses a carbon footprint accounting method for a remanufactured generator based on a remanufacturing life cycle, and relates to the technical field of generator remanufacturing, and the method comprises the steps: obtaining a corresponding remanufacturing life cycle when a generator which does not meet a use demand is remanufactured, and a remanufacturing reason which does not meet the use demand; creating a boundary model corresponding to the remanufacturing process; based on the boundary model and the remanufacturing reason, determining a carbon emission source of each stage in the remanufacturing process; and obtaining an emission factor corresponding to the carbon emission source of each stage, calculating the carbon emission of each stage based on the emission factor, and carrying out summation processing on the carbon emission of each stage to obtain the carbon footprint of the remanufacturing life cycle. The problem that in the prior art, after the generator loses original efficiency, resources are wasted when the generator is scrapped is solved, and remanufacturing of the generator losing the original efficiency is achieved so that energy can be saved.

A coincidence technique-based X-ray detection device and composition analysis method are provided, wherein the X-ray detection device includes: a sample holding device; an excitation unit for outputting X-rays with continuously adjustable energy; detectors comprising two SiC semiconductor detectors and two SiPIN semiconductor detectors; a signal processing unit for performing amplification, analog-to-digital conversion and classification on the detected signals to obtain energy information; a data processing device connected to the signal processing unit and used for analysis and calculation according to the energy information and determining element type and content of the sample to be tested, wherein the data processing device comprises a processor and a memory, the processor is used for executing following program modules stored in the memory: a storage module, a baseline recovery module, a calibration curve construction module, an extraction module, an effective energy information determination module, and a peak comparison module.

The invention discloses an energy storage calculation method for new energy power generation consumption, belongs to the technical field of electrochemical energy storage, and realizes optimal management of an energy storage system by constructing an energy storage system model, accurately updating the health state of a battery and designing a power data generation mode and an efficient new energy consumption processing strategy. According to the method, the influence of the battery health state on the performance and the service life of the system is considered, the battery health state serves as a core variable of energy storage calculation, an effective energy storage arbitrage algorithm and strategy are designed, the electricity price difference economic potential is fully mined, the economic benefit maximization of the energy storage system is achieved, and the overall efficiency of the energy storage system is improved.

A hydraulic fracturing system and method uses an effective energy model to reflect energy loss in pressurized fracturing fluid passing into and through a wellbore to a reservoir formation during hydraulic fracturing. The model determines effective energy delivered to the reservoir formation as a function of surface energy added to the fracturing fluid to raise the fracturing fluid to a high-pressure state, gravitational potential energy gains in the pressurized fracturing fluid as the fluid travels down to the reservoir formation, and energy losses in the pressurized fracturing fluid as the fluid travels down to the reservoir formation. The effective energy model is applied to a selected reservoir formation and an operational cost for hydraulic fracturing of the selected reservoir formation is selected based on the effective energy model.

The invention discloses a GEO and SSO cross-platform satellite high-energy proton data collaborative calibration method based on a solar proton event, and the method comprises the steps: obtaining high-energy proton observation data and space environment disturbance parameter data of GEO and SSO, and carrying out the preprocessing, and obtaining high-energy proton data, satellite space-time position data and environment parameters of a unified flux type; screening high-energy proton data during the event period according to the sun proton event definition to obtain a plurality of event data sets and grouping the event data sets; performing alignment processing on the screened high-energy proton data of the GEO and the SSO; based on the power law spectrum characteristics of the solar proton event, constructing the energy matching relation of each energy channel of GEO and SSO, and determining the effective energy and energy interval of each energy channel of SSO through point-by-point spectrum fitting and statistical inversion; and recalculating the differential flux of the GEO in a corresponding energy channel by using the calibrated effective energy, establishing a point-by-point scatter matrix of the two types of satellite data, and performing linear fitting and correlation analysis to realize calibration.

Energy Management Device and Method for the Descent and Approach Phases of an Aircraft. The present invention proposes a method for establishing an effective energy dissipation strategy for the descent and approach phases of an aircraft, in the form of calculating an optimized descent and approach trajectory. This strategy aims to maximize the maintenance of idle speed while minimizing the use of airbrakes through more efficient decelerations. Figure for the abstract: Fig. 3

The invention discloses a method for predicting net energy of a wheat feed. The method comprises the following steps: preparing a basic feed, optionally selecting a plurality of kinds of wheat from different sources as raw materials to be tested, and respectively preparing test feeds; respectively measuring the approximate nutrient contents of Ti in the basic feed and the test feed, and respectively calculating the effective energy values of the basic feed and the test feed; according to the method, the prediction equation is constructed through the properties of the raw materials, the steps required by net energy prediction are simplified, net energy prediction is carried out based on the measured value, the accuracy is high, preparation of wheat feed is facilitated, a theoretical basis is provided for precise feeding of poultry, precise feeding is achieved, feed waste is reduced, and feed cost is saved; meanwhile, the wheat is used for preparing the feed, so that corn reduction and replacement are also contributed.

The application relates to the field of charge-discharge behavior monitoring, and discloses a photovoltaic energy storage charge-discharge behavior monitoring system and method, which comprises the following steps: continuously collecting energy operation data of an energy storage unit, a photovoltaic power generation side, a grid-connected side and a load side to construct a continuous time sequence energy operation model; in the continuous time sequence energy operation model, based on the change characteristics of the energy storage power direction and the dynamic evolution law of the state of charge, a charge-discharge behavior fragment set is formed; a multi-dimensional behavior correlation network structure of the charge-discharge behavior fragment is constructed, and an energy path mapping relationship is established; an effective energy displacement criterion is introduced, the adjustment contribution degree evaluation of the correlated charge-discharge behavior fragment is performed, and it is determined that the energy storage operation is in an adjustment contribution degree failure state; based on a behavior triggering rule, the adjustment contribution degree failure state is discretized into a structured operation behavior event set, and energy storage operation strategy adjustment prompt information is generated; and the application has the advantages of improving the adjustment accuracy and reducing the energy storage loss.

The invention relates to the technical field of defect detection, and discloses an automatic exposure method and system for an X-ray flaw detector, and the method comprises the steps: firstly obtaining a three-dimensional model of a workpiece, and calculating the equivalent thickness of the workpiece, the source image distance, the normal included angle of the inner wall, the directional attenuation of an X-ray source and other characteristic functions along with the change of a circumferential angle in combination with preset X-ray projection geometry; then obtaining a linear attenuation coefficient of the material under effective energy through energy calibration, and setting a target comparison noise ratio and a defect equivalent thickness at a reference angle to obtain a reference exposure; generating full circumferential target exposure distribution according to the physical function and the material parameters; finally, dispersing exposure distribution into a sector sequence, carrying out exposure measurement under the constraint of equipment and total exposure, calculating an actual contrast noise ratio of each sector, and comparing the actual contrast noise ratio with a threshold value, thereby quantitatively judging whether the workpiece has defects or not, and realizing high-precision and uniform-sensitivity X-ray defect detection on the circumferential weld.

The invention provides an electric vehicle charging station energy management system based on a block chain, and aims to solve the problems of self-adjustment pricing and battery state accurate monitoring in an electric vehicle energy market through a constant function pricing device based on the block chain and a charging state estimator based on an oracle machine. Along with the increase of the number of electric vehicles and charging stations, the condition of low efficiency exists in the aspects of energy supply management and dynamic energy demand response in the prior art. According to the invention, an efficient self-adjusting pricing system and a charging state estimator based on an oracle are realized by using an automatic market manufacturer and block chain oracle technology. The system achieves cost-effective energy regulation and higher state estimation predictability in an electric vehicle system. All transactions and price calculation are automatically executed through an intelligent contract, and transparency and high efficiency of the system are ensured. The implementation of the invention promotes the autonomous development of the electric vehicle system and the transparent management of the energy market.

The invention discloses a display panel, a display device and a display panel manufacturing method, the display panel comprises a display backboard, a penetration rate adjusting layer and a light intensity sensing layer, the penetration rate adjusting layer is arranged on the light emitting side of the display backboard, and the light intensity sensing layer is arranged on the backlight side of the display backboard; the light intensity sensing layer is used for sensing the light intensity of an external environment to generate an electric signal and inputting the electric signal to an external control unit, and the control unit controls the transmittance of the transmittance adjusting layer through the electric signal. According to the display panel, when external brightness changes are sensed, adjustment of visual display brightness in different environments is achieved, long-term high-brightness display is avoided, and more effective energy saving is achieved.

The present invention discloses an energy storage system and method integrating power quality management, which relates to the technical field of power quality management. The method includes: analyzing whether the energy storage device can complete the supply based on the comparison result between the effective energy storage capacity of the energy storage device and the required power of the power supply interruption area, obtaining the data of the electrical equipment to analyze the priority of the electrical equipment, analyzing the required power of the necessary equipment, analyzing whether the energy storage device can complete the supply based on the comparison result between the effective energy storage capacity of the energy storage device and the required power of the necessary equipment, and analyzing the optimal operating current of the electrical equipment based on the priority of the electrical equipment and the operating data of the electrical equipment. The present invention first determines whether the effective energy storage capacity of the energy storage device can meet the power consumption demand of the power supply interruption area or the power consumption demand of the necessary equipment in the power supply interruption area, and then reasonably distributes the power of the electrical equipment that cannot meet the power supply demand, giving priority to ensuring key equipment, and maximizing the improvement of the power quality management effect.

The invention relates to an electric vehicle sliding feedback consumption control method and system, and the method comprises the steps: triggering a downhill feedback consumption mode when a vehicle is in a downhill road section and the driving state of the vehicle meets a triggering condition; after the downhill feedback consumption mode is triggered, according to the accumulated driving distance of the vehicle on the current downhill road section, the electric devices are started in a grading mode to consume feedback current. The downhill feedback consumption mode is triggered when the vehicle is in the downhill road section and the driving state of the vehicle meets the triggering condition, and the electric devices are dynamically started in a grading manner according to the accumulated driving distance of the current downhill road section so as to consume the feedback current, so that the dynamic regulation and control of the downhill feedback current are realized; according to the invention, the feedback current which may flow back to the power battery originally is converted into effective energy for the working of the electric appliance, and the residual current is continuously consumed, so that the voltage accumulation effect caused by continuous charging in the long downhill process of the battery cell is effectively inhibited, and the technical phenomenon that the battery voltage is abnormally increased due to current overload is avoided.

The invention relates to the technical field of ceramics, in particular to an anti-reduction energy storage ceramic with a high polarization characteristic and a preparation method and application thereof. The general structural formula of the ceramic is PbaLabZrcTidOe + xwt% Sm2O3, wherein a is equal to 0.5 to 1.5, b is equal to 0.01 to 0.1, c is equal to 0.5 to 1.5, d is equal to 0.005 to 0.05, and e is equal to 1.6 to 4.7; 0 lt; xlt; 5; the polarization intensity of the ceramic is larger than 50 mC / cm < 2 >, the effective energy storage density is larger than 12 J / cm < 3 >, the energy storage efficiency is larger than 70%, and synchronous optimization of the reduction resistance, the polarization performance and the energy storage density of the ceramic is achieved.

This invention relates to a wave impedance inversion method, comprising the following steps: Step 1, collecting post-stack seismic data, sonic logging curves, density logging curves, lithology-representing curves, and reservoir interpretation results within the work area; Step 2, calculating wave impedance curves based on sonic logging and density logging curves; Step 3, assigning values ​​to various types of reservoirs to obtain formation identification codes; and reconstructing the wave impedance curves using the formation identification codes to obtain reconstructed wave impedance curves; Step 4, performing intersection analysis using the lithology-representing curves and the reconstructed wave impedance curves; Step 5, performing wave impedance inversion on the post-stack seismic data using the reconstructed wave impedance curves. This invention can directly identify effective energy storage with high accuracy.