76 results about "Economic evaluation" patented technology

The invention discloses a land value evaluation method and system based on multi-source heterogeneous data fusion, and relates to the technical field of land economic evaluation. The invention discloses a land value evaluation method and system based on multi-source heterogeneous data fusion. The method comprises four steps of multi-source data acquisition and preprocessing, standardized evaluation index quantification, index weighted fusion and value calculation, and value distribution diagram generation and output. Firstly, four types of data of background status, planning, market feedback and social perception are acquired and preprocessed; secondly, constructing a hierarchical index system to quantify indexes; determining a weight through an analytic hierarchy process and calculating a land value index according to a preset formula; and finally generating a value distribution diagram in a thermodynamic diagram form. The method realizes standardization, high efficiency and visualization of land value evaluation, can be applied to the fields of city updating, land market monitoring, government planning decision making and the like, and provides scientific support for related decision making.

The invention discloses a power transmission and transformation project economic evaluation method, system, equipment and medium fusing adaptive fuzzy entropy weighting and a multi-target grey wolf optimization algorithm, and belongs to the technical field of power system economic analysis, and the method comprises the steps: constructing an economic index system, building a fuzzy membership matrix, and calculating an index weight through combining fuzzy entropy and information entropy; a comprehensive weight is generated by adopting a self-adaptive fusion mechanism, then a multi-target weighted evaluation model is constructed, and finally multi-target search is performed by utilizing a swarm intelligence optimization algorithm. According to the invention, by constructing a self-adaptive weighting mechanism fusing the fuzzy entropy and the information entropy and combining the global search capability of the multi-target grey wolf optimization algorithm, multi-index weight dynamic optimization and multi-target cooperative solution in the economic evaluation of the power transmission and transformation project are realized; the method effectively overcomes the limitation of a traditional method in the aspects of weight distribution subjectivity, insufficient index coupling processing and multi-target balance, and forms a closed-loop evaluation system from index processing to intelligent decision making.

The invention discloses a site-level CCUS dynamic source-sink matching optimization method for an oil field enterprise, relates to the technical field of large-scale deployment of carbon capture, utilization and storage of the oil field enterprise, and particularly relates to the site-level CCUS dynamic source-sink matching optimization method for the oil field enterprise. Comprising the following steps: integrating a carbon source end full life cycle technical economy evaluation system and a storage target area'geology-potential-economy 'three-dimensional grading model to form a dynamic database; on the basis of the dynamic database, a mixed integer linear programming model fusing source sink dynamic priority coefficients is constructed, three scenes of cost minimization, oil displacement income maximization and carbon sink subsidy excitation are set, and a constraint system is coupled; according to the method, carbon source technology economic evaluation and storage target area three-dimensional grading are fused, the specific injection-production cycle, policy incentive and pipe network constraint of an oil field are converted into time-varying weight coefficients, traditional static optimization limitation is broken through, and site-level source-sink dynamic accurate matching is achieved.

The invention belongs to the technical field of clean energy, particularly relates to a hydrogen production project economic evaluation method and system and electronic equipment, and aims to solve the problem that an existing hydrogen production project evaluation method is not accurate enough. The method comprises the following steps: acquiring each cash flow index influencing the corrected cash flow; analyzing the cash flow indexes of the tth year to obtain the correction probability of each cash flow index, and calculating the hydrogen production item correction cash flow of the tth year based on each cash flow index and the correction probability of each cash flow index; based on the corrected cash flow, calculating to obtain a corrected hydrogen production item net present value; and calculating the internal investment return rate of the corrected hydrogen production project based on the net present value of the corrected hydrogen production project. According to the method, the cost and income constituent elements of the hydrogen production project are comprehensively analyzed, the dynamic change condition of each actual influence factor is considered, and the obtained conclusion is more accurate and real.

The application discloses a kind of innovation chain and industry chain synergic diagnosis method and system of fusion multi-source data, belong to regional economic evaluation and artificial intelligence data processing technical field.The purpose is to solve the problem of existing evaluation method relying on single structured data, lack of depth decision-making ability.The method includes: collecting the scientific research and industrial structured index of target area and policy text unstructured data;Quantify policy synergy effectiveness index using natural language processing technology;Introduce market mechanism parameters, build a nonlinear double-track correction model to dynamically correct the original data, calculate the real fusion coordination degree;Based on the modified multi-dimensional characteristics, structured prompt words are constructed to drive the pre-trained large language model to automatically generate synergy short board diagnosis report and decision optimization suggestion.The application realizes the improvement of evaluation comprehensiveness and accuracy, reduces the influence of pseudo-fusion, realizes the integration of intelligent diagnosis of measurement-cause-suggestion.

The invention belongs to the technical field of oil field economic evaluation, and discloses an evaluation method for ascertaining an undeveloped full life cycle reserve value. The method comprises the following steps: obtaining development data and public evaluation parameters of a target block; calculating an extracted yield value NPV1; calculating the value of unextracted reserves without risk consideration; calculating a reserve risk coefficient R1 and a yield risk coefficient R2; calculating an unextracted reserve value NPV2; and calculating the full life cycle reserve value of the target block. According to the method, full-life-cycle reserve value evaluation is fully considered, the application of the yield risk to the reserve value is considered, the two-point equation is adopted to calculate the reserve risk coefficient, and the method is very scientific and accurate.

A micro-grid economic operation state evaluation method based on machine learning comprises the following steps: collecting micro-grid original operation data and performing data cleaning, normalization processing and principal component feature dimension reduction to extract key time sequence features reflecting economic fluctuations; a multi-dimensional economic evaluation index system covering conventional generating unit generation cost, grid interaction cost and energy storage aging cost is established; a long short-term memory network with attention mechanism is used to mine the deep correlation between time sequence features and operation state, and output economic evaluation values in each dimension; the economic evaluation values in each dimension are weighted and integrated based on the objective assignment method to calculate the overall economic state score of the system; the health interval of the micro-grid is judged in real time according to the comprehensive economic score, and a response mechanism is triggered for early warning. The method realizes real-time and high-precision evaluation and intelligent early warning of the economic state of the micro-grid operation, and improves the overall economic benefit of the system.

The invention provides a crowd health-oriented environment risk dynamic regulation and control method and a storage medium, relates to the field of public health, and systematically integrates macroscopic environment monitoring and demographic statistics data, multi-pollutant air quality health indexes and individual-level longitudinal queue data. A multi-pollutant air quality health index is used as priori knowledge through a constructed fusion module, an individual-level causal model is processed, a processed health risk function is coupled with a pollution control marginal cost function and refined health economic evaluation parameters, and a comprehensive optimization function is constructed. And performing probabilistic representation and propagation on uncertainty of all key parameters in the target function, finally solving to obtain a control threshold range with a confidence interval, re-substituting the optimized control threshold into the multi-pollutant air quality health index calculation framework, evaluating the risk level change of the multi-pollutant air quality health index calculation framework under a historical reference, and calculating the multi-pollutant air quality health index. And an empirical support from historical data is provided for the rationality and feasibility of an optimization result.

The application provides a wind-solar-hydrogen storage system collaborative planning and economic evaluation method and device, belonging to the technical field of new energy and hydrogen energy system planning. The method: obtains input data of wind power and photovoltaic, processes known output or resource data mode according to the data type of the application scene, generates annual time sequence output sequence, and configures the operation time interval of the chemical device; determines the optimization variable, the objective function and the constraint condition based on the annual output sequence and the operation time interval, constructs a full-industry-chain collaborative optimization mathematical model; calls a solver to solve the model, obtains a capacity configuration scheme, links the dynamic financial parameters in the built-in database, uses a preset financial evaluation rule to calculate the economic evaluation index of the whole life cycle; and visually displays the capacity configuration scheme and the economic evaluation index of the whole life cycle. The application realizes full-industry-chain collaborative optimization and intelligent diagnosis through double-mode data and dynamic attenuation simulation.

This invention discloses a method and system for collaborative diagnosis of innovation chains and industrial chains that integrates multi-source data, belonging to the fields of regional economic evaluation and artificial intelligence data processing technology. It aims to address the problem that existing evaluation methods rely on single structured data and lack in-depth decision-making capabilities. The method includes: collecting structured indicators of scientific research and industry in the target region and unstructured data of policy texts; quantifying the policy synergy effectiveness index using natural language processing technology; introducing market mechanism parameters to construct a nonlinear dual-track correction model to dynamically correct the original data and calculate the true degree of fusion and coordination; constructing structured prompt words based on the corrected multi-dimensional features to drive a pre-trained large language model to automatically generate a collaborative weakness diagnosis report and decision optimization suggestions. This invention improves the comprehensiveness and accuracy of evaluation, reduces the impact of pseudo-fusion, and achieves integrated intelligent diagnosis of measurement, attribution, and suggestions.

The application discloses a kind of pumped storage power station weekly regulation external economic benefit intelligent evaluation method, belong to electric power system economic evaluation technical field.The technical problem to be solved is that existing method lacks the modeling ability of weekly regulation time scale, external economic benefit has not formed unified evaluation system, weight determination relies on artificial experience, qualitative index lacks standardization quantization method, and the stability of evaluation result is insufficient.The technical solution points are to construct a multi-level evaluation index system for weekly regulation, to establish a weekly scale operation scheduling model for pumped storage-power generation-backup coordination to quantify each index, to determine the comprehensive weight by using a three-source fusion game weighting method combining AI virtual expert, AHP subjective weighting and entropy weight method objective weighting, to obtain the comprehensive evaluation result by combining fuzzy comprehensive evaluation model, and finally to output comparative analysis and optimal decision suggestion under different operation modes.

The invention provides a comprehensive evaluation method, device and equipment for carbon dioxide sequestration potential, and relates to the technical field of carbon dioxide sequestration, and the method comprises the steps: obtaining geological data, economic data, facility data, environmental data and social data of a target region; based on the geological data, the economic data, the facility data, the environmental data and the social data, constructing a digital twinborn body of the target sequestration area, and determining an initial sequestration capacity, an initial economic assessment result and an initial risk assessment result of the target area; inputting the initial storage capacity, the initial economic evaluation result and the initial risk evaluation result into the digital twin body to obtain an optimal correction coefficient matrix; and correcting the initial sequestration capacity, the initial economic evaluation result and the initial risk evaluation result by using the optimal correction coefficient matrix, and determining the carbon dioxide sequestration potential of the target area. The objectivity, accuracy and reliability of carbon dioxide sequestration potential evaluation are improved.

This invention relates to the field of oil and gas exploration technology, and discloses a method for determining the lower limit depth of sandstone reservoir exploration based on diagenetic evolution constraints. Based on the measured porosity, permeability, and corresponding measured depth of sandstone of different lithologies within the study area, compaction evolution equations and permeability evolution equations for each lithology are fitted and constructed according to the diagenetic evolution mechanism. The economic lower limit of stable daily production per well is determined according to the economic evaluation of oil and gas development in the study area. Based on oil testing data, quantitative relationships between production capacity and porosity, and between production capacity and permeability are established. The economic lower limit is converted into corresponding lower limits of reservoir porosity and permeability, which are then substituted into the compaction evolution equations and permeability evolution equations for each lithology to obtain the lower limit depth of exploration for that lithology using current technology. This invention reveals the evolution law of reservoir properties with depth for different lithologies from a genetic perspective, organically coupling economic and technical conditions with geological laws to achieve accurate and differentiated prediction of the lower limit depth of exploration.

The invention discloses a water, fire, wind and light storage collaborative operation evaluation method and system based on time sequence probability simulation, and belongs to the technical field of new energy grid connection and operation control. The method comprises the following steps: acquiring power system equipment, weather, load and economic parameters; generating multiple groups of new energy output and load scenes based on meteorological and load parameters; constructing a power grid optimal power flow model in different scenes by taking the minimization of the intra-day total cost as a target; a time sequence probability simulation solving model is used for calculating a mean value of multi-dimensional indexes such as economical efficiency and environmental protection performance; and weighting by an entropy weight method to obtain a final evaluation score. The system comprises an information module, a scene module, a construction module, a simulation module, an output module and corresponding method steps. The method solves the problems that a traditional evaluation scene is one-sided, uncertainty representation is insufficient, and multi-dimensional indexes are split, improves the evaluation precision and decision value of a high-proportion new energy power grid, and is suitable for power grid operation reliability analysis and economic evaluation.

This invention discloses a power dispatch optimization method and system based on deep reinforcement learning, specifically relating to the field of power dispatch technology. This invention achieves multi-objective collaborative optimization of dispatch schemes by constructing a multi-dimensional quantitative evaluation system. Unlike traditional methods that rely on single-index evaluation, this invention calculates fault recovery coefficients, safety and stability coefficients, and economic evaluation coefficients in conjunction with rule matching coefficients. Based on the calculation results, schemes are selected, achieving a balance between multiple objectives such as fault recovery speed, power supply security, operational economy, and fault similarity, thereby improving the comprehensive adaptability of dispatch schemes.

The application discloses a kind of transmission line engineering tower design methods based on multi-objective cooperation, it is related to overhead transmission line tower structure design technical field.The method includes the following steps: calculating tower head contour control point coordinates to generate the preliminary modeling scheme of transmission line engineering tower;Three-dimensional electrical clearance constraint modeling and automatic checking are carried out, then finite element model is established, and load calculation and multi-condition analysis are carried out, to obtain the modeling scheme of transmission line engineering tower optimization component section;Key node optimization is carried out using the first constraint condition and the second constraint condition, to obtain the candidate scheme of transmission line engineering tower;The design result of transmission line engineering tower is output using comprehensive evaluation system.The application organically fuses Gangba sheep culture image, electrical constraint, structure optimization and economic evaluation, realizes the high landscape of landscape tower under the premise of safety and economy, with the advantages of design process systematization, electrical checking automation and scheme comparison quantification.

The application provides a wind-solar-hydrogen storage system collaborative planning and economic evaluation method and device, belonging to the technical field of new energy and hydrogen energy system planning. The method: obtains input data of wind power and photovoltaic, processes known output or resource data mode according to the data type of the application scene, generates annual time sequence output sequence, and configures the operation time interval of the chemical device; determines the optimization variable, the objective function and the constraint condition based on the annual output sequence and the operation time interval, constructs a full-industry-chain collaborative optimization mathematical model; calls a solver to solve the model, obtains a capacity configuration scheme, links the dynamic financial parameters in the built-in database, uses a preset financial evaluation rule to calculate the economic evaluation index of the whole life cycle; and visually displays the capacity configuration scheme and the economic evaluation index of the whole life cycle. The application realizes full-industry-chain collaborative optimization and intelligent diagnosis through double-mode data and dynamic attenuation simulation.

The invention discloses a health economics evaluation method based on multi-source medical data configuration, and the method comprises the steps: obtaining multi-dimensional medical data through real-time data interaction with a multi-source heterogeneous data terminal, and carrying out the preprocessing of the multi-dimensional medical data; fusing the processed multi-dimensional medical data by using the constructed dynamic health economics evaluation model and generating an evaluation result; based on the evaluation result, personalized treatment schemes are generated for different patient groups, and a multi-objective optimization strategy is generated for the treatment cost, the medical service quality and the hospital operation cost of each patient; and periodically evaluating the cost saving rate, the income growth rate, the patient satisfaction change and the treatment effect index after the implementation of the optimization strategy, and carrying out iterative optimization on the dynamic health economics evaluation model according to an evaluation result. According to the embodiment of the invention, the accuracy of the evaluation result can be improved.

The invention relates to a wind and light project economy evaluation method based on full-life-cycle dynamic cash flow simulation, and belongs to the technical field of wind and light project economy evaluation. According to the scheme, the full life cycle stage and the system boundary of the wind and light project are determined, a dynamic cash flow basic database is constructed, data are preprocessed, cost and income two-dimensional cash flow sub-models are established in stages, improved Monte Carlo simulation is adopted to dynamically couple uncertain factors, dynamic economic indexes are calculated, and sensitivity analysis is carried out. Economic grades are divided, evaluation comprehensiveness and accuracy are improved, and a scientific basis is provided for wind and light project investment decision making.

The invention discloses an intelligent calibration method and system for economic evaluation parameters of a photovoltaic project, and relates to the technical field of photovoltaic economic evaluation, and the method comprises the following steps: obtaining multi-source data related to the economic evaluation parameters of the photovoltaic project; preprocessing the multi-source data to obtain preprocessed data; and establishing an intelligent parameter calibration model, and calibrating the economic evaluation parameters of the photovoltaic project according to the preprocessed data. By collecting and cleaning the multi-source data related to the economic evaluation parameters of the photovoltaic project and establishing the intelligent parameter calibration model to intelligently calibrate the economic evaluation parameters of the photovoltaic project, various economic indexes of the photovoltaic project, such as a generating capacity index, an operation and maintenance cost index and the like, can be calculated more accurately. The automatic parameter calibration and model optimization process greatly reduces the time and workload of manual operation, and improves the efficiency of economic evaluation.

The invention relates to the technical field of power equipment operation management, and particularly discloses a power equipment optimal operation life decision-making method based on technical economy, which can greatly reduce the cost income accounting deviation through dynamic fusion, improve the accuracy of economy evaluation in life decision-making, and improve the power equipment optimal operation life decision-making efficiency. A real-time linkage mechanism solves the problem of insufficient dynamic matching of the whole-cycle cost income, adapts to the change rule of the safety state and the economic performance of the power equipment in the whole life cycle through two-dimensional linkage of the health value and the cost income, dynamic weight calibration and a decision-making mechanism, avoids insufficient safety or economic waste caused by single-dimensional decision-making, and improves the safety of the power equipment. And meanwhile, safety and economic balance of the equipment in different operation stages is ensured, and stable and accurate optimal operation life decision is kept in the whole life cycle of the equipment.

The invention discloses a method for determining a chemical flooding block popularization benefit oil price limit, and solves the problems that a chemical flooding scheme is long in economic evaluation time consumption and cannot meet medium and long term planning in tertiary oil recovery. The method comprises the following steps: acquiring a chemical flooding potential block well pattern adjustment mode and investment allocation; chemical flooding economic evaluation and development parameters are obtained; establishing a chemical flooding enhanced recovery efficiency economic limit model, and calculating enhanced recovery efficiency economic limits under different development modes, different oil prices and different single well controlled reserves to obtain an economic limit chart; based on the development parameters of the chemical flooding potential block, when the recovery efficiency improving technical level of the chemical flooding potential block is equal to the recovery efficiency improving economic limit, according to the economic limit chart, interpolation is carried out to obtain the popularization benefit oil price of the chemical flooding potential block; the benefit oil prices are sorted from small to large, and the development and popularization sequence is optimized. According to the method, the popularization economic benefits and the popularization sequence of different blocks can be determined, so that a scientific and reasonable decision basis is provided for medium-and-long-term planning of tertiary oil recovery.

The invention discloses a dynamic evaluation and prediction method and system for low-carbon economic development benefits in the building industry, and relates to the technical field of low-carbon economic evaluation and prediction. The method comprises the following steps: S1, data acquisition and preprocessing; s2, determining an index weight based on a variable coefficient method; step S3, carrying out dynamic evaluation based on a GRA-TOPSIS model; step S4, checking modeling data; s5, constructing and predicting an equal-dimension gray number progressive complement GM (1, 1) model; and S6, verifying the model precision and outputting a result. According to the method, an evaluation system is constructed based on 15 three-dimensional indexes of social benefits, economic benefits and ecological benefits, a benefit evolution rule in a time dimension is captured in combination with a GRA-TOPSIS model, short-term impact and long-term influence of policy adjustment and external emergencies on low-carbon development of the building industry are accurately reflected, an evaluation result is more in line with an actual development situation, and the method is suitable for popularization and application. And multi-dimensional dynamic evaluation is realized, and the limitation of traditional static analysis is broken through.

The invention discloses an industrial multi-dimensional collaborative development evaluation method based on a synergetics theory, and belongs to the technical field of industrial economic evaluation. According to the method, aiming at the defect that an existing evaluation method neglects a synergistic effect among indexes, an evaluation system comprising 20 indexes in total in four dimensions of entity economy, scientific and technological innovation, modern finance and human resources is constructed, and a combined weight is calculated through combination of an entropy weight method and an analytic hierarchy process. The comprehensive evaluation score is calculated by adopting an improved geometric weighting method to reflect the incompletely substitutability of the index, the collaboration degree is calculated through the order degree and a geometric average method, a simultaneous differential equation set is established based on the synergetics theory, the interaction coefficient is quantified by adopting a three-stage least square method, and the collaborative promotion and restriction relationship between dimensions is accurately identified. The embodiment shows that the method can effectively evaluate the industrial development level, and the evaluation accuracy is improved by more than 15%.

The application discloses an ORC working medium screening method, system, medium and product based on a critical temperature criterion, relates to the field of ORC working medium screening, and comprises the following steps: firstly, determining a heat source temperature range of an ORC system and establishing a working medium database; then, setting a critical temperature criterion, so that the critical temperature of the working medium is close to but not higher than the heat source temperature, and the working medium meeting the condition is preliminarily screened according to the critical temperature criterion; then, calculating an evaporator integral temperature difference corresponding to each preselected working medium, wherein the evaporator integral temperature difference is determined by the relationship between the total heat exchange amount in the heat exchange process and the temperatures of the hot medium and the cold medium; then, establishing an evaporator loss prediction model according to the linear relationship between the evaporator integral temperature difference and the evaporator loss, and calculating the system thermal efficiency; finally, combining the economic evaluation of the market price of the working medium, and considering the environmental influence, so as to finally determine the target working medium. The application can quickly screen the optimal working medium for the heat source with different temperature ranges, and improves the efficiency and accuracy of the working medium screening.

This invention discloses a system and method for calculating the benefits of flexibility retrofitting a circulating fluidized bed (CFB) and wind power combined system, belonging to the field of thermal power generation technology retrofitting evaluation. The system includes a retrofitting scheme management module, which inputs one or more CFB unit flexibility retrofitting schemes and their technical parameters to be evaluated; an operation simulation module, communicatively connected to the retrofitting scheme management module, which simulates the operating status of the CFB unit within a target period after the implementation of the input retrofitting scheme and outputs operation simulation data; an economic calculation engine module, communicatively connected to the operation simulation module, which receives the operation simulation data and, in conjunction with retrofitting investment cost data, calculates one or more incremental economic indicators for evaluating the profitability of the retrofitting scheme; and an evaluation report generation module, communicatively connected to the economic calculation engine module, which generates an economic evaluation report recommending the optimal retrofitting scheme based on the economic indicators.

The invention discloses a low-carbon building material building energy consumption intelligent management method and system, and relates to the technical field of building management, and the method comprises the steps: obtaining the attribute information of a building component, the attribute information of the building component comprises a unique identifier, a material type, a geometric dimension and a position; selecting a maintenance strategy from a maintenance strategy library as a candidate maintenance strategy according to the attribute information of the building component; performing economic evaluation on the candidate maintenance strategy to obtain an economic evaluation result; taking the maintenance strategy with the highest economical efficiency in the maintenance strategy library as a target maintenance strategy according to the economical efficiency evaluation result; and generating a maintenance suggestion according to the target maintenance strategy, the attribute information of the building component and the economic evaluation result. According to the method, the maintenance suggestions can be generated in combination with the attribute information of the building components and economic evaluation, so that building energy consumption management is realized, and accuracy and reliability are improved.

The invention discloses a multi-dimensional coupling abandoned mine large-scale physical energy storage potential grading evaluation method, belongs to the field of mine resource utilization, and aims to solve the problem that a multi-dimensional decision-making system for resources, society, engineering, economic environment and the like exists when abandoned mine resources are used for large-scale physical energy storage development in China at present. The invention provides a scientific, accurate and efficient multi-dimensional coupled abandoned mine large-scale physical energy storage potential grading evaluation method for solving the problems of insufficient adaptability of different energy storage technical routes and abandoned mine resource conditions and the like. The potential of the abandoned mine for large-scale physical energy storage is evaluated through the processes of preliminary screening, detailed technical evaluation, economic evaluation, risk quantification, comprehensive decision making and the like, the method is used for the feasibility research stage of related projects, then engineering decision making and project investment are directly guided, and the method has remarkable positive effects and industrial practicability.

This application discloses a design method for classifying and issuing early warnings of variable parameters in an intelligent operation monitoring system for nuclear power plants. The method includes: acquiring all variable parameters and their measured values ​​in the intelligent operation monitoring system; classifying all variable parameters based on safety and economic evaluation indicators, where parameters satisfying any sub-indicator of either the safety or economic evaluation indicators are considered core variable parameters, and those satisfying none are considered non-core variable parameters; for core variable parameters, generating thresholds using comparison, residual, and empirical methods respectively, and issuing early warnings based on the comparison between the measured values ​​of the core variable parameters and the thresholds; for non-core variable parameters, generating thresholds using comparison and empirical methods respectively, and issuing early warnings based on the comparison between the measured values ​​of the non-core variable parameters and the thresholds. This invention achieves efficient and accurate management of massive variable parameters in the intelligent monitoring system, improving the safety and economy of nuclear power plant operation.

The invention belongs to the technical field of petroleum geology exploration and development, and discloses a newly-added reserve classification evaluation method and a related device. The method comprises the steps of obtaining oil field single well economic evaluation parameters and final recoverable reserves of single well evaluation; according to the oil field single well economic evaluation parameters, the single well minimum recovery amount based on single well economic evaluation, the single well minimum recovery amount based on project economic evaluation and the single well minimum recovery amount capable of reducing the complete cost are calculated; a newly-added reserve classification evaluation standard is established by using the single well minimum recovery amount based on single well economy evaluation, the single well minimum recovery amount based on project economy evaluation, the single well minimum recovery amount capable of reducing the complete cost and the final recoverable reserve of single well evaluation, and then the economy attribute is determined. The new reserves are classified from single well economy, project economy and complete cost analysis, and the defect that an existing reserve classification evaluation method only evaluates from the perspective of reserves and cannot effectively reflect the economic attributes of the reserves is overcome.