81 results about "Benefit analysis" patented technology

The invention discloses a wind turbine generator life extension dynamic evaluation method and system based on multi-source data fusion, and belongs to the technical field of new energy. According to the method, multi-modal detection is carried out on key parts such as blades, a gearbox, a generator and a tower by collecting multi-source data such as basic parameters, historical operation data, environmental data and design files of a wind turbine generator, and residual life evaluation is carried out based on material performance, operation data and numerical simulation. And performing economic evaluation by combining cost-benefit analysis and investment payback period analysis, and finally comprehensively giving a life extension dynamic evaluation conclusion. The method solves the problems of data island, insufficient dynamic prediction capability, lack of economic analysis, low detection efficiency and the like in a traditional evaluation method, provides a scientific and comprehensive basis for the decision-making of the life extension of the wind turbine generator, and has remarkable economic benefits and engineering application values.

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 discloses an energy efficiency optimization method based on multi-source data fusion, which relates to the technical field of industrial energy efficiency management and comprises the steps of multi-source data acquisition, preprocessing, feature extraction, feature level fusion, decision level fusion, optimization strategy generation and feasibility verification. The multi-source data acquisition module acquires equipment operation data, environment data and energy consumption data; the preprocessing module processes data through cleaning, format unification and time-space alignment; the feature extraction module generates statistics, time sequence and cross correlation features; the feature level fusion adopts a graph attention network to capture feature association, and the decision level fusion is output through a weighted average integration sub-model; the optimization strategy generation module combines the two types of fusion results to generate an environment regulation and control strategy and a rotating speed regulation and control strategy; and the feasibility verification module verifies the strategy feasibility through cost income analysis. According to the method, the energy consumption prediction precision is improved through multi-source data fusion, short-term and long-term benefits are considered, dynamic optimization of industrial production energy efficiency is realized, and energy consumption redundancy is remarkably reduced.

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 is suitable for the crossing field of hydraulic engineering and climate science, and provides a risk evolution-based flood control benefit analysis method for a reservoir group to cope with extreme climate, and the method comprises the following steps: screening extreme climate elements through multi-source data fusion, and constructing a spatial-temporal feature model; extracting extreme climatic elements, inputting the extreme climatic elements into the pre-constructed hydrological model, simulating to obtain an initial flood process, constructing a flood database, training and adjusting hydrological model parameters, and inputting the extreme climatic elements again to obtain an ultimate flood process; flood risk data are collected, a risk assessment index system and a dynamic risk simulation model are constructed, an ultimate flood process is input to calculate flood control risks, and a multi-objective optimization algorithm is adopted to generate an optimal scheduling strategy; according to the method, a reliable basis is provided for scientific scheduling and flood control decision making of the reservoir group through innovative data acquisition and analysis means, advanced model construction and a multi-dimensional evaluation system, and the flood control benefit of the reservoir group under the extreme climate condition is improved to the maximum extent.

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 discloses a cross-media advertisement putting method and system, and relates to the technical field of advertisement putting, and the method comprises the steps: collecting advertisement putting data according to different advertisement media, building a response relation function between the advertisement putting amount and a conversion effect, and determining a cross-media putting response relation value, and calculating correlation coefficients to determine a synergistic effect value of each pair of advertisement media combinations. The method disclosed by the invention not only reveals the actual linkage synergy relationship between different advertisement media combinations through quantification of the synergy effect, but also can monitor the release marginal return of each media in real time through marginal benefit analysis of the first derivative of the response function, discover the release saturation point in time, and restrain the introduction of the optimization method, thereby improving the efficiency of the advertisement media. Therefore, on the premise that the budget distribution process meets the total budget and the actual delivery capacity of each media, the global optimal delivery amount distribution scheme can be obtained through derivation and simultaneous solution of the target function.

The invention relates to the technical field of engineering benefit analysis, in particular to a mountain and water engineering implementation benefit analysis early warning method and system. The method comprises the following steps: acquiring a sky-air-ground multi-source monitoring data set, and based on the sky-air-ground multi-source monitoring data set, analyzing a change track of benefit key indexes in a multi-dimensional field before and after engineering implementation to obtain an engineering multi-dimensional benefit characteristic parameter set; based on the engineering multi-dimensional benefit characteristic parameter set, a benefit-restriction associated characteristic information set is obtained by coupling a cooperation and antagonism relationship among sand-water-mountain analysis key indexes; and deducing a future scene based on the benefit-restriction associated feature information set, generating an engineering benefit health diagnosis regulation and control strategy by taking inhibition of benefit attenuation and ecological restoration risk as a target, and outputting an engineering benefit optimization management decision report. Multi-dimensional evaluation and association relationship analysis of mountain and water engineering implementation benefits are realized, and comprehensive technical support is provided for scientific management of ecological restoration engineering.

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 discloses a multi-dimensional evaluation method of a blast furnace process extreme energy efficiency technology, and relates to the field of steel production energy efficiency evaluation. Aiming at six extreme energy efficiency technologies of a blast furnace process, a'technical unit energy-saving cost (CCEa)-net present value (NPV)-internal return rate (IRR) 'ternary index system is constructed, an energy-saving supply curve and a cost-benefit analysis method are combined, and comprehensive evaluation is realized through four steps: calculating the energy-saving and emission-reducing potential when the blast furnace uses anthracite, and introducing exclusive emission factor correction; calculating the unit energy-saving cost considering the multi-pollutant synergistic benefit, and combining the exclusive reachable rate of the technology; the full-life-cycle cost effectiveness is analyzed from the perspective of enterprises, and technology maturity correction is introduced; and carrying out dynamic weighted sorting based on a TOPSIS method, and outputting technical priorities. The method breaks through the limitation of single-dimensional evaluation, realizes the collaborative evaluation of economic and environmental benefits, and provides a decision basis for the low-carbon transformation of the blast furnace.

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 technical field of financial accounting and benefit analysis, and particularly provides a product-based benefit accounting method and device, and the method comprises the following steps: S1, a multi-source data fusion engine; s2, a rule configuration management center; and S3, performing accounting execution and monitoring. Compared with the prior art, the accounting efficiency and accuracy can be improved, and an efficient and accurate product benefit accounting solution is provided for enterprises such as communication operators.

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 invention discloses a method and a system for constructing a minority language data value chain based on a Guangxi large model, and the method comprises the steps: collecting a multi-source Guangxi corpus, carrying out the dialect difference recognition to generate a regional language feature map, extracting quality hierarchical distribution from the map, and carrying out the value quantification to generate a data value evaluation matrix; identifying a high-value corpus gathering area according to the value evaluation matrix, performing application scene mapping, and extracting cross-scene adaptation indexes to construct a value conduction chain; performing task division for the value conduction chain, identifying a data demand gap, and generating an optimal value node and a value distribution list; reconstructing a data processing flow according to the value distribution list, detecting a labeling bottleneck and performing automatic potential evaluation; marginal benefit analysis is performed on the core automation domain, benefit inflection points are identified, an optimal input threshold value is determined, and a value chain management rule is established, so that accurate quantification of corpus values, cross-scene intelligent conduction and resource dynamic optimization are realized, and data resource support is provided for multi-language intelligent application.

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 invention discloses an enterprise multi-level relation rapid retrieval method and system based on a knowledge graph, and relates to the technical field of enterprise management, and the method comprises the steps: collecting internal and external multi-source heterogeneous data of an enterprise, controlling the collection time, and carrying out the legality verification of the collected data; receiving the verified data, constructing an enterprise knowledge graph, and optimizing a knowledge graph association rule based on monthly newly added data; based on the knowledge graph, receiving a retrieval request through a query interface, and returning a retrieval result; and applying the retrieval result to cost-benefit analysis of association between enterprises, including association cost accounting, association benefit evaluation, cost-benefit association mining, intelligent prediction or abnormal early warning traceability. The method has the advantages that the accuracy and efficiency of enterprise relationship risk identification, investment decision support and strategic planning are effectively improved by constructing the multi-dimensional associated knowledge graph between the enterprises, and comprehensive data support and intelligent decision support are provided for the enterprises to manage complex commercial relationships.

The invention provides a carbon compensation method based on cross-regional power trade transfer, and relates to the technical field of energy environments. According to the method, through constructing a power transaction carbon emission reduction responsibility accounting model, an emission reduction effort-based carbon emission reduction responsibility allocation model and a carbon compensation cost benefit analysis model, accurate allocation and fair compensation of carbon emission reduction responsibility in cross-regional power transaction are realized. Through accurate responsibility accounting, responsibility allocation considering economic and technical contributions and scientific economical efficiency verification, the defects that in the prior art, responsibility allocation is one-sided, technical investment and economic benefit allocation are difficult to reflect, and economical efficiency verification is lacked are overcome; and a scientific, fair, economical and feasible solution is provided for carbon emission reduction responsibility distribution and compensation in cross-regional power transaction.

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 relates to the technical field of engineering benefit analysis, in particular to a landscape engineering implementation benefit analysis and early warning method and system. The method comprises the following steps: acquiring a sky-ground multi-source monitoring data set, analyzing the change track of key benefit indexes in a multidimensional field before and after engineering implementation based on the sky-ground multi-source monitoring data set, and obtaining an engineering multidimensional benefit characteristic parameter set; based on the engineering multidimensional benefit characteristic parameter set, the synergistic and antagonistic relationship among key indexes is coupled through sand-water-mountain analysis, and a benefit-restriction correlation characteristic information set is obtained; based on the benefit-restriction correlation characteristic information set, future scenarios are deduced, and engineering benefit health diagnosis regulation strategies are generated to inhibit the occurrence of benefit attenuation and ecological restoration risks, and an engineering benefit optimization management decision report is output. The method realizes multidimensional evaluation of landscape engineering implementation benefit and correlation relationship analysis, and provides comprehensive technical support for scientific management of ecological restoration engineering.

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.

The invention provides an intelligent flexible regulation and control terminal distributed energy management method and system, and relates to the technical field of power systems, and the method comprises the steps: carrying out the prediction based on multi-source data through a prediction model, so as to obtain a future load trend; according to the future load trend, performing cost-benefit analysis to generate a demand response scheduling strategy; and optimizing energy distribution according to the demand response adjustment strategy to generate a dynamic scheduling strategy.

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.