110 results about "Benefit analysis" patented technology

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.

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 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 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.

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.

An electronic computing device includes at least one processor; and system memory. The system memory includes instructions which, when executed by the at least one processor, cause the electronic computing device to receive information regarding outstanding loans for a borrower, generate a graphical user interface, perform a benefits analysis for a consolidation group, display, based on a benefits analysis, a consolidated loan, and update the exclusion listing to include any of the outstanding loans determined to result in lost benefits based on the benefits analysis.

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.