48 results about "Benefit analysis" patented technology

The invention belongs to the technical field of cold and heat source configuration methods, and particularly relates to a cold and heat source configuration optimization method and system based on a full life cycle, and the method comprises the steps: S1, building use characteristic analysis; s2, designing a staged unit configuration scheme; s3, optimizing an intelligent control strategy; s4, carrying out full-life-cycle cost-benefit analysis; s5, optimal scheme decision making and dynamic adjustment; according to the method, a dynamic prediction model of a time sequence analysis and Transform-TCN hybrid architecture is adopted, historical load data can be deeply mined through time sequence analysis, and time characteristics and periodic rules in the data are captured; the long sequence modeling capability of the Transform and the local feature extraction capability of the TCN are combined by the Transform-TCN hybrid architecture, so that the long and short term dependency relationship in the load data can be better processed, and the prediction accuracy is improved.

The invention discloses a calculation method for waste aluminum optimal proportion and raw material cost in 6-series aluminum alloy round ingot smelting, which comprises the following steps of: firstly, determining suitability and maximum additive amount of waste aluminum: determining component calculation values of all elements according to a preset rule by comparing target alloy component requirements with actual components of the waste aluminum; and calculating the additive amount limited by each element, taking the minimum value of the additive amount as the theoretical maximum additive amount, and judging whether the economic threshold value is reached or not. And for the waste aluminum suitable for addition, cost-benefit analysis is carried out subsequently: the reference cost of not using the waste aluminum and the scheme cost of using the maximum addition amount of the waste aluminum are calculated respectively, and the economic feasibility of purchase and use is evaluated by comparing the reference cost and the scheme cost. According to the method, technical feasibility and economic analysis are combined, a quantitative decision support method is formed, whole-process optimization from casting matching to purchase decision is achieved, and the resource utilization rate is remarkably increased and the production cost is reduced while the stable quality of aluminum alloy products is guaranteed.

The invention relates to an electricity-carbon-green evidence fusion multi-market collaborative service equilibrium decision-making method. The method comprises the following steps: step 1, analyzing electricity-carbon-green evidence benefits under a multi-coupling mechanism; step 2, based on the electricity-carbon-green evidence benefit analysis result under the multi-coupling mechanism in the step 1, constructing a system operation optimization model under the multi-coupling mechanism; step 3, training and calibrating the system operation optimization model under the multi-coupling mechanism constructed in the step 2; 4, performing optimization verification on the system operation optimization model under the multi-coupling mechanism after training and calibration in the step 3; and step 5, using the system operation optimization model under the multi-coupling mechanism after optimization verification in the step 4 to output a daily optimal decision strategy to participate in market decision execution. According to the method, collaborative optimization of electric quantity distribution, carbon emission reduction accounting and green certificate configuration can be realized, and the green power consumption accuracy and the multi-market collaborative operation efficiency are improved.

The invention discloses a watershed ditch and pond-road low-cost ecological sand control method based on hydrological connectivity, which belongs to the field of ecological environment protection and mainly comprises the steps of data acquisition, DEM data correction, confluence network construction, hydrological structure connectivity identification, SWAT model construction, key source area identification, scene analysis and cost benefit analysis. Under the influence of a ditch pond-road system, the key source area identification technology based on hydrological structure connectivity and the drainage basin key source area ditch pond road low-cost water regulation and soil conservation method achieve the dual purposes of reducing the water and soil regulation and control cost and continuously improving the ecological benefit by identifying the key source area.

The invention relates to the technical field of clinical decision support and medical data intelligent analysis, in particular to a critical patient individualized liquid resuscitation decision support system, which is characterized in that a data acquisition unit acquires pulse pressure variation waveform and multi-dimensional physiological data of each stroke volume; a volume benefit analysis channel of the dynamic decision-making unit segments a respiratory cycle, extracts pulse pressure fluctuation characteristics, outputs a per-stroke volume increase probability value through a machine learning classifier, an organ injury early warning channel calculates a blood lactic acid and creatinine clearance rate change rate, and generates an acute kidney injury risk sign in combination with inferior vena cava image verification; the execution control unit sends an infusion control or limit instruction according to the combined state; and the feedback optimization unit adjusts the weight of the model according to the actual value of blood lactic acid removal, and recalculates the probability value, so that individualized precise resuscitation, balance capacity benefit and organ protection are realized, and the treatment safety and effectiveness are improved.

This invention belongs to the technical field of pumped storage power station benefit analysis. It discloses a method for analyzing the economic benefits of pumped storage power stations based on diversified market transactions. The method includes: obtaining a structured market time series table, obtaining a detailed report on electricity revenue, obtaining an ancillary service revenue assessment report, obtaining a carbon market revenue report, obtaining a green value revenue analysis report, integrating the detailed report on electricity revenue, the ancillary service revenue assessment report, the carbon market revenue report, and the green value revenue analysis report, allocating the power station's public costs, obtaining a multi-market revenue and cost summary report, obtaining a net benefit sensitivity analysis report, and obtaining a comprehensive power station assessment and decision report, which are then output. Overall, this invention has significant advantages such as comprehensive benefit assessment, high accuracy in calculating net benefits from various markets, and reliable role in power station economic benefit analysis.

The invention belongs to the technical field of vehicle-road cloud integrated systems, and discloses a method for analyzing functional requirements of a vehicle-road cloud integrated system based on LLM, and the method comprises the following steps: S1, collecting and preprocessing basic data; s2, structured extraction of VRCIS requirements: semantic analysis is performed on the design requirement document based on LLM, a data structure is converted, and functional requirements and non-functional requirements are extracted; s3, constructing a VRCIS demand and benefit-critical person matrix: based on the output of the S2, mapping the function demand of each VRCIS benefit-critical person and the system design key dimension, and generating a standardized quantization matrix which can be identified by a machine; s4, quantitative analysis of demand priorities: identifying the demand priorities through quantitative analysis by utilizing the benefit-critical person matrix constructed in the S3 and fusing cost-benefit analysis; and S5, outputting a demand analysis result. The method is high in analysis efficiency, and the problems that in the analysis process, demand decomposition is not in place, the demand priority is not clear, and a general demand template cannot fully express VRCIS complexity are solved.

The invention relates to the field of chemotherapy benefit analysis, in particular to a gastric cancer chemotherapy benefit analysis method and system based on multi-index calculation. The method comprises the following steps: extracting multi-temporal biomarkers of a patient in different treatment cycles, and carrying out nonlinear change trend analysis to obtain trend characteristics of the biomarkers; collecting drug monitoring parameters in a chemotherapy cycle, performing drug metabolism simulation according to the trend characteristics of the biomarkers, and constructing a drug synchronous kinetic model; the method comprises the following steps: extracting vital sign information and chemotherapy toxic reaction information of a patient based on clinical detection, performing chemotherapy safety boundary prediction, and generating chemotherapy tolerance assessment data; and performing chemotherapy benefit hierarchical calculation based on the chemotherapy tolerance evaluation data and the drug synchronous kinetic model to generate multiple levels of chemotherapy benefit indexes. According to the method, accurate and efficient gastric cancer chemotherapy benefit calculation is realized, and the cost performance and efficiency of treatment are improved.

The invention relates to the technical field of electricity market prediction, in particular to an electricity market day-ahead electricity price prediction method and system based on an enhanced linear Stacking framework, and the method specifically comprises the steps: obtaining multi-source heterogeneous data, carrying out the preprocessing of the data, obtaining a standardized feature matrix, calculating the feature importance through a random forest, and carrying out the calculation of the feature importance; k-fold time sequence cross validation and marginal benefit analysis are combined to screen an optimal feature subset, two basic learners are constructed, fold time sequence cross validation is adopted to train the basic learners, fold-out prediction vectors are obtained, statistical features are extracted, and the fold-out prediction vectors and the statistical features serve as input to train the basic learners, so that the optimal feature set is obtained. And then the optimal hyper-parameter of the basic learner is searched through Bayesian optimization and re-fitting is completed, the meta learner is trained to obtain a Stacking integrated model, a test sample is input into the model, and a day-ahead electricity price prediction value of an original dimension is obtained through inverse transformation. The method can improve the accuracy and stability of electricity price prediction, and is suitable for an electricity market day-ahead electricity price prediction scene.

The invention relates to the technical field of new energy safety operation, in particular to a multi-energy system safety response collaborative defense method based on voltage sensitivity identification, and provides a voltage sensitivity identification method to realize differential risk perception in extremely cold weather by constructing a mobile energy storage unit model and fully mining the advantages of multi-energy interactive operation of the mobile energy storage unit model. And determining the access position of the mobile energy storage unit in the risk scene, constructing a risk resistance evaluation model, and verifying the reasonability and feasibility of the proposed method. The identification method based on the voltage sensitivity can effectively improve the positioning accuracy of the mobile energy storage unit and improve the risk response capability of the multi-energy system; the safety and economy of system operation in a risk scene can be effectively measured through a risk assessment and benefit analysis model, the voltage level of the system is effectively improved, and the anti-risk capability of the multi-energy system is remarkably enhanced; the mobile energy storage unit in a multi-energy storage form can quickly and flexibly respond to system requirements, and economic losses are effectively reduced.

This invention discloses a cost-benefit analysis method for the joint operation of distribution network edge resources based on multi-energy complementarity. The cost analysis consists of three parts: initial investment cost, operating cost, and wind power cost. Based on the existing centralized gas heating method, the converted electricity price and subsidy fees are calculated. Finally, by comparing with the existing heating subsidy policy, the benefits of the gas-curtailed wind complementary method are analyzed. The advantages of this invention are: considering factors such as environment, temperature regulation, energy saving, and safety, the gas-curtailed wind complementary heating method has advantages such as low initial investment cost, stable operation, low maintenance, safety and no pollution, and good economic efficiency.

The application discloses a nitrogen and phosphorus synergic management method of river-estuary continuum, and belongs to the technical field of ecological management, and the method comprises the following steps: S1, using the coastal eutrophication potential index to diagnose the key nutrient elements affecting the stoichiometry of nutrient salts and flux; S2, determining the ecological threshold values of total nitrogen, total phosphorus, dissolved inorganic nitrogen and dissolved inorganic phosphorus in different zones of the estuary according to the relationship between the nutrient concentration and the ecological response index; S3, comprehensively diagnosing the eutrophication risk based on the coastal eutrophication potential index and the ecological threshold value, and judging whether to select the basin management or the estuary management; S4, identifying the key source area of nitrogen and phosphorus pollution which substantially limits the water quality target of the downstream under the water function zoning and the environmental capacity limitation; and S5, putting forward the nitrogen and phosphorus synergic management strategy based on the cost-benefit analysis; the application realizes the whole-chain nitrogen and phosphorus synergic management and control of land-sea overall planning, zoning refinement, accurate tracing, and economic efficiency, and is popularized and applied to the comprehensive treatment of eutrophication of river-estuary continuum.

The present application relates to wastewater treatment technical field, specifically to a kind of ginseng saponin wastewater pretreatment system, including data acquisition module, for obtaining wastewater substrate parameter and real-time monitoring parameter;First processing module, for real-time calculation resin saturation index;Second processing module, for accounting characteristic component total adsorption mass and the COD concentration of high-value component that has been recovered;Third processing module, for combining the COD concentration of high-value component that has been recovered, and the preset sludge accounting parameter, accurately calculate neutral sludge estimated production;Fourth processing module, for determining resource recovery value, environmental load cost and system total operating cost;Benefit analysis module, for determining system net economic benefit index in combination with preset weight coefficient;Self-adaptive control module, for responding to system net economic benefit index, reverse adjustment preset switching threshold;The present application gets rid of the rigid mode of traditional fixed parameter operation, realizes intelligent operation.

The invention discloses a low-voltage power distribution network uninterruptible power operation system monitoring method, which comprises the steps of distribution network uninterruptible power operation resource management, distribution network uninterruptible power operation process management, distribution network uninterruptible power operation holographic display and uninterruptible power operation intelligent auxiliary decision making, realizes whole-process monitoring of uninterruptible power operation, and improves the management level of the uninterruptible power operation of the distribution network. According to the invention, through the holographic display function module, based on statistics of various index results, whole-process monitoring of non-power-cut operation is realized, and holographic operation analysis is realized. Through implementation management and control, operation benefit analysis, resource allocation and management and bearing capacity display and comparative analysis of uninterruptible operation, an uninterruptible operation construction scale and implementation effect analysis and evaluation system is realized.

The application discloses a medical institution hospital infection protection measure evaluation method and system based on cost-benefit analysis, relates to the technical field of data processing, and comprises the following steps: collecting medical insurance policy release information and disease control early warning information; the application realizes adaptive identification and segmented modeling of continuous multi-breakpoint impact scenarios by constructing multiple homogeneous period models and organizing the models into a model library in time sequence, solves the problem that a single-breakpoint detection algorithm in the prior art cannot handle multi-breakpoint continuous impact and subsequent impact is forcibly classified into a segmented fragment, leading to model parameter mismatch, and guarantees the parameter accuracy of the evaluation model under different environmental stages; the discriminator outputs a probability value based on anchor data, and the output results of the previous homogeneous period model and the subsequent homogeneous period model are weighted and fused based on the probability value, smooth transition of the evaluation output in the junction window period is realized, and the continuity and reliability of the decision basis in the junction window period are ensured.

The application discloses a kind of middle-low voltage distribution network not power operation benefit comprehensive evaluation method, comprising the following steps: classifying not power operation;Obtain the data of each actual not power operation, determine its belonging small class;Statistical and determine the 7-dimension data of this not power operation;According to not power operation quota, calculate the cost of each actual not power operation;Calculate the 7-dimension average data of each small class not power operation;Using group average connection method in cluster analysis method to process the data obtained;Using entropy weight method to process the data obtained;The clustering results of each small class not power operation and the weighted results after entropy weight method are comprehensively processed, and the comprehensive evaluation value of the benefit of each small class not power operation is obtained;According to comprehensive evaluation value, the benefit of not power operation is evaluated.The application establishes the benefit comprehensive evaluation system for not power operation, solves the problem that the benefit analysis and evaluation index and dimension of existing distribution network not power operation are single.

The invention discloses an offshore wind power economic benefit assessment method and device based on reachability, and relates to the technical field of data prediction and assessment, and the method comprises the steps: determining an engineering economic benefit index based on an engineering economic benefit analysis mode, reachability influence analysis is carried out in combination with a Monte Carlo prediction method, a clustering analysis method and a Markov decision method; determining the influence of reachability on the economic benefit based on the reachability influence analysis result so as to carry out economic benefit calculation, thereby carrying out operation and maintenance business analysis; and designing an offshore wind power economic benefit evaluation model according to an operation and maintenance service analysis result so as to realize offshore wind power economic benefit evaluation. According to the method, the influence of the accessibility on the economic benefit is comprehensively considered, and the dual influence of the accessibility on the operation and maintenance cost and the power generation capacity is comprehensively considered, so that the economic benefit of the offshore wind plant is evaluated more accurately.

A multi-factor benefit analysis method and system for a power system resilience planning scheme. The method comprises: acquiring a novel power system planning scheme; assessing the capability of the novel power system planning scheme to respond to extreme events within a preset yearly timeframe, so as to obtain resilience indicators; using a carbon emission flow method to perform calculation and estimation on the obtained novel power system planning scheme, so as to obtain carbon emission benefit indicators; for the implementation costs of the obtained novel power system planning scheme, calculating power facility construction costs and substation and line reinforcement or retrofit costs, so as to obtain economic indicators; and comprehensively integrating the resilience indicators and the carbon emission and economic indicators and, under an evaluation and decision-making framework for novel power system planning schemes oriented toward resilience enhancement, evaluating and comparing different planning schemes to form a decision-making closed loop, and providing feedback and corrections for the planning schemes, thereby achieving novel power system construction and adaptive planning under climate change. The solution provides a scientific decision-making basis for improving investment decisions.

Disclosed is a multi-factor benefit analysis method and system for resilience-oriented power system planning schemes, including acquiring new power system planning schemes; evaluating the abilities of the acquired schemes to withstand extreme events within a set period of years, to obtain resilience indicators; estimating the acquired schemes by using the carbon emission flow method, to obtain carbon emission indicators; calculating the cost of constructing power facilities and the cost of reinforcing or renovating substations and lines, to obtain economic indicators; and evaluating and comparing the planning schemes under the evaluation and decision-making framework of new power system planning schemes for resilience enhancement by comprehensively considering the resilience indicators, carbon emission indicators, and economic indicators, to form a closed loop of decision-making, and give feedback to and correct the planning schemes, thereby achieving adaptive planning for the construction of new power systems under climate changes.

The invention relates to the technical field of oil and gas development management, in particular to an oil reservoir horizontal well development benefit analysis method and system. The method comprises the steps of obtaining contract term data and cost event data, and constructing a contract term structure and a cost event structure; based on the structure, establishing a cost classification structure and a selling path structure; constructing a double-track account book structure and a recovery state identification structure; based on account book and contract data, constructing a discount point and interest rate mapping model, and dynamically calculating a recovery cardinal number and interest counting and extracting structure; and generating a recovery path structure and a benefit evaluation result, finally outputting a report structure, and executing finance and tax logic verification. According to the method, a double-track account book system, a discount integral function and a dynamic interest rate mapping mechanism are introduced, so that accurate calculation and closed-loop verification of the amount to be calculated of multiple types of cost events in a recoverable state are realized, and contract execution compliance, recovery calculation precision and benefit evaluation efficiency are improved.

The application discloses a highway expansion mode decision method based on a whole life cycle cost benefit, and comprises the following steps: S1, highway expansion period construction cost is estimated; S2, highway expansion period construction carbon emission cost is estimated; S3, highway expansion period operation benefit loss is estimated; S4, highway operation period operation benefit is estimated; S5, highway expansion operation period operation cost is estimated; S6, highway expansion period and operation period vehicle operation carbon emission cost are estimated; S7, based on whole life cycle cost benefit analysis, the expansion scheme is decided.The application considers the construction and operation period carbon emission cost and the expansion period operation benefit loss, so that the whole life cycle cost benefit system of the highway expansion project is more perfect.Facing different expansion modes, the method can be used to complete the total cost benefit analysis of the construction period and the operation period, and the generality of the decision method is improved.

The invention relates to the technical field of power system toughness evaluation, and discloses a high-proportion new energy oriented power system toughness quantitative evaluation method and system. The method comprises the following steps: constructing a multi-dimensional association database based on historical data; establishing a weather-output mapping relation through feature selection and model training; an extreme weather scene set is generated, hierarchical index calculation is performed, and a toughness evaluation matrix is obtained in combination with mixed weighting; dynamic benefit analysis and investment priority ranking are carried out in combination with economic factors; and finally, closed-loop updating of the model parameters is realized. According to the method, the toughness evaluation precision of the high-proportion new energy power system in extreme weather can be effectively improved, economy and adaptability are considered, and a reliable basis is provided for system planning and risk prevention and control.

The invention discloses an intelligent control method based on steelmaking steel material whole process benefit analysis. The method comprises the following steps: firstly, acquiring original data from each link of a steelmaking process, including a steelmaking process of a converter or an electric furnace, a secondary refining process, a continuous steel casting process and a rolling process; accuracy and availability of the data are ensured through preprocessing and feature extraction of the collected data. And inputting the processed feature data into a newly built model, performing prediction analysis, and outputting an analysis report including a cost curve and related cost changes. Finally, the output results can be displayed at different places, and different cost analysis reports are generated, so that different departments or management layers can check and make decisions conveniently. Through an intelligent model and a closed-loop feedback mechanism, the production cost is remarkably reduced, and the product quality and the production efficiency are improved.

The application discloses a kind of power system elasticity planning scheme multi-element benefit analysis method and system, obtain new type power system planning scheme;The extreme event response capability of new type power system planning scheme is evaluated within the set year limit, and elasticity index is obtained;The obtained new type power system planning scheme is accounted and estimated using carbon emission flow method, and carbon emission benefit index is obtained;For the implementation cost of the obtained new type power system planning scheme, the construction cost of power facilities and the cost of station building, line reinforcement or modification are calculated, and economic index is obtained;Comprehensive elasticity index, carbon emission and economic index, under the new type power system planning scheme evaluation decision-making framework facing elasticity improvement, different planning schemes are evaluated and compared, decision-making closed loop is formed, planning scheme is fed back and corrected, new type power system construction and adaptability planning under climate change are realized.For improving investment decision, scientific decision basis is provided.

The invention discloses a riding health benefit measurement method, device, equipment, medium and product based on comprehensive environmental exposure, and relates to the field of data processing. The method comprises the following steps: acquiring riding information data; according to the riding behavior data, processing by adopting a preset unified measurement standard and a dose-response function corresponding to the physical activity, and converting health benefit attribution scores to obtain riding health benefit indexes; determining an over-threshold thermal exposure intensity according to the environment temperature, calculating an accumulated thermal exposure amount based on a dose-reaction function corresponding to thermal exposure, and converting a thermal risk attribution score to obtain a thermal exposure health influence index; and based on the riding health benefit index and the thermal exposure health influence index, determining a riding health benefit index of thermal exposure adjustment, and then carrying out health benefit analysis on the riding activity to obtain a benefit measurement result. According to the invention, the integration of health benefits can be realized, and the health benefits are accurately quantified.

The invention provides a multi-service scene-oriented power grid investment optimization method and system, and the method comprises the steps: comprehensively considering the benefits and cost for a plurality of given power grid service scenes, and determining an optimal investment combination strategy; based on power grid operation simulation, scheduling optimization and routing inspection cost modeling, digital benefits are calculated for different business scenes; according to the investment strategy, required construction and operation cost is determined, the cost comprises software and hardware investment cost of each business scene and computing power platform construction cost, and the computing power platform construction cost needs to respectively calculate the cost of a distributed deployment scheme and the cost of a unified computing power pool scheme. According to the invention, unified modeling and linkage optimization of an investment strategy are carried out for a plurality of power business scenes; by constructing a unified main optimization model, taking the investment strategy of each business object as an independent variable, and by introducing benefit analysis and cost constraint, an optimal solution of a cross-scene investment portfolio is searched, and the maximization of the digitization benefit of the whole power grid is realized.

An embodiment analyzes, to determine a value of a chemical compound, a first sensor data to determine a density of the chemical compound, where the chemical compound is emitted from a candidate underwater source in a water body where an operation of a floating farm operation is conducted. The embodiment performs a cost-benefit analysis using the value of the chemical compound and a cost of using the chemical compound in the operation of the floating farm. The embodiment causes, in response to the cost-benefit analysis justification for an upwelling movement, the upwelling movement of an upwelling apparatus to a submerged location in the water body. The embodiment causes, in response to the cost-benefit analysis justification for a farm relocation, the farm relocation of the floating farm to a surface location in the water body.

The invention relates to the technical field of medical resource management, in particular to a big data processing system for medical equipment benefit analysis, which comprises a load prediction and overload judgment module, a cross-equipment load balance calculation module, a cross-equipment load balance calculation module and a medical equipment benefit analysis module, the dynamic emergency degree quantitative evaluation module is used for calculating the dynamic emergency degree for a conflict request by using a support vector machine, and the cooperative scheduling instruction generation module is used for allocating time slots according to an emergency degree descending order and issuing an instruction. According to the invention, by constructing a cost and effect knowledge base, predicting a demand peak value by using a time sequence model to identify equipment overload, generating a redirection scheme based on benefit calculation before conflicts, dynamically evaluating patient conditions for unavoidable conflicts, and sorting the conflicts according to emergency scores, time slot-divided automatic collaborative scheduling and instruction issuing are realized; and through active prediction and intelligent intervention, the equipment utilization rate and the service response capability are remarkably improved.

The invention discloses a tail water treatment ecological benefit analysis method based on life cycle evaluation, which is based on operation of a tail water treatment system, a system water inlet module and a drainage module are provided with water quality sensors, and a treatment module is provided with a gas flow sensor and a gas detector. The water quality monitoring data and the gas monitoring data are transmitted to the data center and are preprocessed; the system is also provided with a medicament feeding device and an operation device; a pollution product analysis model is established based on an LCA method, the total pollution amount is calculated according to monitoring data, medicament putting data and operation data, and an ecological benefit model is established to analyze ecological benefits. The analysis method provided by the invention is based on life cycle evaluation, so that the analysis result is more comprehensive and accurate; the method comprises a preprocessing step, so that the influence of non-uniform concentration distribution on the accuracy of an evaluation result is avoided; and the ecological benefit model gives an evaluation grade, so that the evaluation result is more intuitive.

The invention discloses a comprehensive cost recovery model in a power generation subject multi-product market, a solving method, a solving system, a solving device and a medium, and belongs to the technical field of power market operation and optimization. A lower-layer model objective function is constructed, lower-layer model constraint conditions are established based on the lower-layer model objective function, an upper-layer model objective function is constructed, and market indexes, compensation indexes and cost are calculated based on the upper-layer model objective function; converting the constructed lower-layer model through a duality theory, carrying out unified solution with the upper-layer model, transmitting data to the upper-layer model, and calling a solver to calculate the cost recovery condition of the power generation enterprise. According to the invention, a double-layer framework of market clearing simulation and cost benefit analysis is constructed, a multi-market coupling transaction mechanism is represented, and the cost recovery efficiency of the power generation enterprise is improved. A double-layer problem is converted into computable single-layer planning, and complete analysis from market behavior simulation to cost recovery state quantification is formed.