159 results about "Benefit analysis" patented technology

A system and method for automated cybersecurity defensive strategy analysis that predicts the evolution of new cybersecurity attack strategies and makes recommendations for cybersecurity improvements to networked systems based on a cost / benefit analysis. The system and method use machine learning algorithms to run simulated attack and defense strategies against a model of the networked system created using a directed graph. Recommendations are generated based on an analysis of the simulation results against a variety of cost / benefit indicators.

The embodiment of the invention relates to a multi-energy complementary coordinated control system and method based on multi-element energy storage, electronic equipment and a storage medium. And various data support optimization decisions of multiple stations are obtained through data fusion. And a decision generation scheme is optimized, the operation state and benefit analysis are displayed, and precise regulation and control of the station are realized. And configuring a management algorithm for the model, and setting boundary conditions and objective functions. The internal coordination supplementary logic plays a role in the aspects of active power adjustment, power grid frequency fluctuation and synchronous phase modulation. Through the means, the acceptance degree of the power grid to renewable energy sources is improved, so that the multi-energy complementary system can better respond to a power grid dispatching instruction, and energy resource optimization management is realized. And meanwhile, the stability and reliability of the power grid are enhanced, the economic benefit of the system is improved, and a powerful guarantee is provided for efficient operation of the multi-energy complementary coordination control system.

The invention relates to the technical field of agricultural data dynamic perception, in particular to an agricultural data dynamic perception scheduling method based on the Internet of Things, and the method is realized based on an Internet of Things sensor, an edge computing platform and an edge server. Comprising the following steps: deploying Internet of Things sensors including a meteorological station, a soil humidity monitor and an unmanned aerial vehicle inspection system, and deploying a real-time data processing module on an edge server through an edge computing platform. According to the method, a dynamic cost-benefit analysis model is constructed, various factors and dynamic changes in agricultural production are comprehensively considered, a multi-objective optimization algorithm and a dynamic planning technology are applied, optimization of resource allocation and maximization of long-term benefits are achieved, in addition, uncertainty factors are processed by introducing a fuzzy mathematical method, and the method is suitable for large-scale popularization and application. The method improves the robustness and reliability of analysis, and solves the problems of lack of dynamics, incomplete consideration factors and limited optimization means in a traditional scheme.

The invention discloses an urban drainage network optimization design system, and relates to the technical field of urban drainage optimization, a data collection and preprocessing module is utilized to collect basic data, a parameter determination module is utilized to determine the rainfall intensity, the ground permeability, the sewage concentration and the pipeline cleanliness, and a comprehensive evaluation optimization module is utilized to optimize the urban drainage network. The drainage efficiency and cost effectiveness of rainwater and sewage are calculated and output respectively, a comprehensive evaluation result reflecting the sustainability of the whole drainage system is calculated and output in combination with the drainage efficiency and cost effectiveness of rainwater and sewage, and a detailed drainage network optimization design scheme is analyzed and formulated in combination with the drawn line graph. According to the method, innovative means of refined parameters, comprehensive cost-benefit analysis, systematic comprehensive evaluation and an intelligent feedback mechanism are introduced, and a more scientific, comprehensive and efficient solution is provided for planning, design, operation and maintenance of the urban drainage network.

The invention discloses an informatization management method for building construction, and relates to the technical field of building informatization management, and the method comprises the steps: carrying out the real-time data collection through employing various sensors installed at a construction site, and a data collection module, extracting the collection data in the same time period from a time series data sequence, and carrying out the data collection through employing a data informatization management module, the method comprises the following steps: respectively calculating a construction efficiency evaluation value XLP, a cost-benefit analysis value CXF and a quality risk prediction value ZL, evaluating the quality risk level of a construction project according to the quality risk prediction value ZL, and comparing the construction efficiency evaluation value XLP with a construction efficiency evaluation value XLPprev of a previous stage and comparing the cost-benefit analysis value CXF with a cost-benefit analysis value CXFprev of the previous stage to obtain the quality risk level of the construction project. According to the method, through optimization and innovation means such as data integration and sharing, scientific evaluation and accurate decision, dynamic adjustment and feedback mechanism and the like, the construction efficiency is improved, the cost risk is reduced, the quality level is improved, and the decision-making ability is enhanced.

The invention relates to the technical field of carbon resource management, in particular to a carbon emission management system for a building energy carbon supervision platform, which comprises a carbon emission statistics module, a carbon emission calculation and evaluation module and a carbon planning module, the carbon emission statistics module comprises a carbon emission factor management sub-module, a real-time data sub-module, a historical data sub-module and a system data sub-module, the carbon emission calculation and evaluation module comprises a carbon emission calculation sub-module and a carbon emission reduction benefit analysis sub-module, and the carbon planning module comprises a carbon neutralization calculation sub-module and a dual-carbon process analysis sub-module. The invention provides a carbon emission management system suitable for a building energy and carbon supervision platform, which can connect the computational statistics, analysis and evaluation and planning and expectation processes of building carbon emission to form a complete building carbon emission management system, and on the basis of the basic data and functions of the energy and carbon supervision platform, according to the actual project requirements, the energy and carbon supervision platform can be used for energy and carbon supervision. And a comprehensive and clear carbon emission management service is provided for the user.

A system and method for automated cybersecurity defensive strategy analysis that predicts the evolution of new cybersecurity attack strategies and makes recommendations for cybersecurity improvements to networked systems based on a cost / benefit analysis. The system and method use machine learning algorithms to run simulated attack and defense strategies against a model of the networked system created using a directed graph. Recommendations are generated based on an analysis of the simulation results against a variety of cost / benefit indicators.

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.

A system and method for automated cybersecurity defensive strategy analysis that predicts the evolution of new cybersecurity attack strategies and makes recommendations for cybersecurity improvements to networked systems based on a cost / benefit analysis. The system and method use machine learning algorithms to run simulated attack and defense strategies against a model of the networked system created using a directed graph. Recommendations are generated based on an analysis of the simulation results against a variety of cost / benefit indicators.

The invention discloses a marginal emission reduction cost-based ship greenhouse gas emission reduction evaluation method and system, and relates to the technical field of ship emission reduction, and the method comprises the steps: collecting and building a ship greenhouse gas emission reduction measure; establishing a carbon pricing mechanism, and constructing a marginal emission reduction cost analysis model based on the carbon pricing mechanism; carrying out cost-benefit analysis on greenhouse gas emission reduction measures by utilizing the marginal emission reduction cost analysis model, and carrying out cost-benefit sorting; key parameter extraction is carried out on the marginal emission reduction cost analysis model, influence analysis of parameter change and cost effectiveness is carried out based on a key parameter extraction result, and a sensitivity analysis result is established; and generating a ship greenhouse gas emission reduction evaluation result according to the sensitivity analysis result and the cost-benefit sequence. According to the method, the technical problems that the evaluation method in the prior art is single and multi-dimensional economic benefits and market fluctuation influences cannot be comprehensively considered are solved, and the technical effect of improving the economic evaluation precision of the emission reduction measures is achieved.

The invention relates to the technical field of hydropower intelligent power generation benefit optimization systems, in particular to a hydropower intelligent power generation benefit optimization system based on basin water volume analysis. The system comprises a resource analysis module, a collaborative production analysis module, an energy efficiency analysis module, a benefit analysis module, a production planning module, a system monitoring and maintenance module and a user interface and interaction module. The resource analysis module comprises a drainage basin water volume analysis unit and a drainage basin energy flow direction analysis unit; the collaborative production analysis module comprises an action instruction analysis unit, a multistage gradient collaborative analysis unit and a multi-energy complementary analysis unit; the energy efficiency analysis module comprises a unit energy efficiency analysis unit and a power generation unit energy efficiency analysis unit; the benefit analysis module comprises a water discarding and water discarding reason analysis unit and a promotion effect analysis unit; according to the system, the operation of each stage of hydropower station can be coordinated through the multi-stage gradient collaborative analysis unit, the combined dispatching and optimization of cascade power stations are realized, and the overall power generation capacity and efficiency are improved.

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 vehicle lightweight cost income analysis system, and belongs to the technical field of new energy vehicles. The system comprises an obtaining module used for obtaining an initial weight reduction value of a vehicle and determining a target vehicle component; the analysis module is used for calculating the equivalent cost benefit of the target vehicle component according to the initial weight reduction value; and calculating a secondary weight loss value resulting from the target vehicle component based on the initial weight loss value; according to the secondary weight reduction value generated by the target vehicle component, vehicle lightweight secondary cost income is calculated; according to the vehicle lightweight secondary cost earnings and the equivalent cost earnings, calculating vehicle lightweight accumulated cost earnings; and the output module is used for outputting the vehicle lightweight accumulated cost income. According to the method, secondary weight reduction is also generated for the target vehicle component while income is generated by initial weight reduction, the lightweight cost income is calculated by accumulating the secondary cost income corresponding to the secondary weight reduction value, and the accuracy of vehicle lightweight cost calculation 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.

A system and method for collaborative cybersecurity defensive strategy analysis that predicts the evolution of new cybersecurity attack strategies and creates a virtual network space that provides a virtual reality environment for collaborative insights into network dynamics during a cyberattack. makes recommendations for cybersecurity improvements to networked systems based on a cost / benefit analysis. The system and method use machine learning algorithms to run simulated attack and defense strategies against a virtual network space model of the networked system created using a virtual network space manager. A simulation interaction server can facilitate secure sharing of virtual network spaces and simulations between and among various real and virtual actors to provide a collaborative space where one or more organization's network can be tested for resilience and mitigation. Recommendations are generated based on an analysis of the simulation results against a variety of cost / benefit indicators.

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 discloses a production operation and inspection cost pricing system improvement method based on cost benefit analysis, and relates to the technical field of cost pricing, and the method comprises the following steps: collecting cost data in a production operation and inspection process, and dividing the collected cost data into direct cost and indirect cost; based on a cost-benefit analysis method, performing systematic evaluation on the collected cost data, calculating economic benefit indexes of various costs, and comprehensively comparing the costs and benefits to obtain a cost-benefit coefficient; according to the cost-benefit coefficient and the economic benefit index, a production operation and inspection cost pricing model is constructed based on an operation cost method; a dynamic adjustment mechanism is established, and relevant parameters and indexes in the cost pricing system are updated and adjusted regularly. According to the invention, by establishing a dynamic adjustment mechanism, related parameters and indexes in the cost pricing system are updated and adjusted regularly, and the accuracy and practicability of the cost pricing model are ensured.

The invention relates to the related field of civil engineering, in particular to a vibration isolation trench effect analysis method based on a BIM technology, and the method comprises the steps: importing project data through a BIM model, setting material attributes, boundary conditions and loading conditions, and carrying out vibration simulation analysis; secondly, according to the simulation result, the vibration weakening amplitude, the transmissibility and the energy distribution of the vibration isolation trench are quantitatively analyzed, and the vibration isolation effect of the vibration isolation trench is evaluated; thirdly, searching an optimal design scheme by repeatedly iterating the design parameters, and carrying out cost-benefit analysis; and finally, arranging an optimization result into a report, providing the report for project design and management personnel for reference, and guiding actual construction or design adjustment. According to the method, the vibration isolation effect is remarkably improved, the construction cost is greatly reduced, the number of trial and error times is reduced, and the design efficiency is improved. In addition, the optimized vibration isolation trench design further enhances the structural safety and living comfort of a project, and has high application and popularization value and economic benefits.

The invention discloses a new energy industry energy-saving benefit analysis method and system and a storage medium, and relates to the technical field of energy benefit monitoring of the new energy industry. The new energy industry energy-saving benefit analysis method comprises the following steps of new energy data analysis, energy environment analysis and energy-saving effect detection. Industrial new energy information of a new energy industry in a preset area is collected to obtain new energy data, an energy environment index is obtained according to the influence condition of the new energy data on the environment of the preset area, and then an energy-saving effect index is obtained by detecting the energy consumption of the new energy industry in real time. And finally, obtaining an adjustment method of the new energy industry in the preset area according to the energy-saving effect index, and feeding back the adjustment method to a worker, thereby achieving the effect of improving the accuracy of energy-saving effect analysis, and solving the problem of low accuracy of energy-saving effect analysis in the prior art.

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 an integrated simulation model for comprehensive benefit analysis of black soil protection and utilization. The integrated simulation model is characterized in that a crop production module processes and outputs crop yield, soil physical and chemical properties and carbon emission data through a crop process mechanism model and a data driving model; the ecological module converts soil physical and chemical properties and carbon emission related data into key ecological benefit evaluation indexes; the social module generates agricultural product grain prices and social benefit evaluation indexes corresponding to various crops according to the crop yield and social and economic basic data; the economic module generates planting crop types and economic benefit evaluation indexes of the grids in the next year according to crop yields and agricultural product grain prices; and the benefit evaluation module performs evaluation results of ecological, social and economic fields based on the key ecological benefit evaluation index, the social benefit evaluation index and the economic benefit evaluation index.

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.

A method and system for detecting sleep apnea in patients using an electronic healthcare record (EHR) system. An API configured to communicate with the EHR system is installed and relevant data inputs for predicting sleep apnea determined. An initial risk assessment for sleep apnea is automatically performed for a patient based on their health history is performed when the patient is seen by a healthcare provider. A visual prompt is displayed to the healthcare provider if the patient is at an elevated risk for sleep apnea. The visual prompt may include a listing of additional tests needed, a numerical risk level, or allow the healthcare provider to schedule sleep apnea related appointments. The method may also involve calculating a patient risk level, providing feedback to improve the accuracy of the risk assessment, determining co-factors, and incorporating cost-benefit analysis in the risk assessment.

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 discloses a regional heat supply centralized control system based on economics, and the system comprises a nonlinear cost sensing heat supply regulation and control module which is responsible for receiving real-time temperature data from a heat supply system and temperature preference set by a user, calculating a temperature threshold value based on a foreground theory, and prompting the increase of heat supply cost in real time. And the contrast between the incremental cost and the energy saving is displayed through a visual chart. According to the method, the behavioral economics theory is introduced, a heat supply strategy optimization model of the system is formed based on cost-benefit analysis and a marginal cost theory, a data model of user decision preference is constructed through sensor and user feedback data, irrational behavior characteristics are mined, and the behavioral economics principle is embedded into a system algorithm. Dynamic optimization of heating regulation and control and user incentive strategies is achieved, meanwhile, data visualization and immediate feedback design are strengthened, the energy-saving effect and cost effectiveness are visual and visible, and unification of heating economical efficiency, energy efficiency and user welfare is achieved.

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.