28 results about "Cost performance" patented technology

The invention discloses an EPC project resource dynamic scheduling method based on multi-objective optimization, and the method comprises the steps: extracting project starting time and activity attributes from an EPC project, constructing a project activity list and a project resource list, constructing a multi-objective function, a decision variable and a constraint condition, and carrying out the dynamic scheduling of the EPC project resource. And processing the project activity list, the project resource list and the project starting time by using a multi-objective optimization algorithm containing crossover and mutation operation to obtain an optimal resource scheduling scheme containing the project construction period, the cost and the resource utilization rate, and after the scheme is issued and executed, obtaining the progress, the cost and the resource use condition in real time, thereby realizing the resource scheduling. A progress deviation rate, a cost performance index and a resource load rate are calculated and normalized, a comprehensive evaluation value is obtained through a linear weighting model, and whether a multi-objective optimization algorithm is optimized or not is judged according to the comprehensive evaluation value, namely, the weight of each objective function is adjusted according to the highest index after normalization, and a scheme is regenerated. According to the invention, resource dynamic optimization scheduling is realized, and project management efficiency is improved.

The invention provides a comprehensive evaluation method, system and device based on single coke quality and mixed coke use and a readable storage medium, and the method comprises the steps: constructing a multi-layer progressive evaluation system from single coke quality evaluation to mixed coke performance prediction, and then to economical efficiency dynamic optimization; performing quantitative evaluation on the quality of the single coke through the basic evaluation layer to obtain a quality index; predicting a synergistic effect of various coke proportions through the mixing performance layer, and determining a mixing performance index; performing cost analysis on the proportioning scheme by combining an economic evaluation layer with price fluctuation to obtain a cost performance index; and a plurality of matching schemes are generated through the dynamic optimization layer, and an optimal solution meeting balance of quality, performance and cost is output.

The invention provides a computing power scheduling method, device and equipment for large model heterogeneous reasoning and a medium, and belongs to the technical field of computing power scheduling, the method comprises the following steps: in response to a model deployment request, obtaining performance index data and cost index data of each candidate deployment unit in a heterogeneous computing resource pool; determining a dynamic weight of each candidate deployment unit, and calculating a comprehensive cost performance score of each candidate deployment unit based on the dynamic weight of each candidate deployment unit and the performance index data and the cost index data of each candidate deployment unit; and selecting the candidate deployment unit with the highest comprehensive cost performance score as a target deployment unit, and scheduling the target large model to heterogeneous computing resources corresponding to the target deployment unit for execution. According to the large model heterogeneous reasoning-oriented computing power scheduling method provided by the invention, the scheduling decision is made by comprehensively considering the dynamic weight, the performance and the cost of the candidate deployment unit, so that the real-time performance, the accuracy and the adaptability of computing power scheduling are improved.

This invention provides a method for evaluating the cost-effectiveness of semi-coke based on the effective calorific value of pulverized coal, relating to the field of iron and steel metallurgy. First, a formula for calculating the effective calorific value of pulverized coal in a blast furnace is established. By calculating the heat released from incomplete combustion of carbon and deducting the heat absorbed by moisture decomposition, hydrocarbon cracking, ash slag formation, and desulfurization, an effective calorific value more consistent with the actual operating conditions of the blast furnace is obtained. Subsequently, this effective calorific value is divided by the injection cost to construct a cost-effectiveness index. By calculating and comparing the cost-effectiveness index of the target fuel combination after semi-coke partially replaces anthracite with the benchmark combination cost-effectiveness index, the economic viability of semi-coke substitution can be accurately determined, and the critical price or price range for cost-effective semi-coke can be directly calculated. This invention overcomes the shortcomings of traditional evaluation methods that are detached from the actual thermal environment of the blast furnace, providing a scientific and quantitative decision-making basis for fuel procurement and coal blending optimization.

The invention relates to the technical field of data processing, in particular to an analysis method for engineering project management, which comprises the following steps: collecting budget data, contract settlement data in an investment analysis period and plan data of engineering construction investment, and cleaning the data; dynamically managing the design work amount in the construction drawing design stage; establishing a data articulation relationship among the design budget data, the execution budget data and a contract; determining a project amount completion image and a contract static unit price of each project in the contract; respectively determining a cost deviation, a progress deviation, a cost performance index and a progress performance index to determine deviation evaluation parameters; and according to the deviation evaluation parameters, sorting the items causing the unfavorable deviation and the items causing the favorable deviation from large to small according to the influence absolute values, and carrying out early warning management on the items of which the accumulated deviation accounts for a preset proportion of the total deviation. According to the method, the statistics and analysis of the design budget investment completion condition can be realized under the unified static price level statistics caliber.

The present application relates to a kind of blast furnace coal injection coal blending structure analysis method, belong to blast furnace coal injection field, comprising the following steps: S1: obtaining the variety of coal injection, and corresponding unit price, quality component;S2: obtaining reference coal blending structure and optimized coal blending structure, obtain the cost of mixed coal powder before and after coal blending structure optimization, each quality analysis index and actual paid cost added value;S3: analyze the cost performance of mixed coal powder before and after coal blending structure optimization;S4: obtain the cost correction value after coal blending structure optimization, ensure the cost performance of mixed coal powder before and after coal blending structure optimization is consistent, and obtain the cost added value needed to pay by this;S5: obtain the difference between actual paid cost added value and cost added value needed to pay, analyze the pros and cons of the optimized coal injection coal blending structure.

The invention belongs to the technical field of coking coal blending, and particularly relates to a fat coal and coking coal quantitative evaluation method which is characterized in that quantitative cost performance of coking coal is evaluated by selecting random vitrinite reflectance distribution parameters and suitability indexes, and the method specifically comprises the following steps: 1) selecting a plurality of coals and factory prices Q thereof; 2) establishing an equation; 3) performing regression analysis by using multiple linear regression; (4) P foundation is made to be equal to K (lt); 0.5) Xi (llt; 0.5) + K (0.5 to 0.65) Xi (0.5 to 0.65) + K (0.65 to 0.8) Xi (0.65 to 0.8) + K (0.8 to 0.9) Xi (0.8 to 0.9) + K (0.9 to 1.2) Xi (0.9 to 1.2) + K (1.2 to 1.5) Xi (1.2 to 1.5) + K (1.5 to 1.7) Xi (1.5 to 1.7) + K (1.7 to 1.9) Xi (1.7 to 1.9) + K (1.9 to 2.5) Xi (1.9 to 2.5) + K (gt); 2.5) Xi (gt); 5) setting P final = P foundation * e (CSR / CSR standard-1), and 6) representing that the cost performance of the coal type is higher if P final-P actual is larger. The method has the beneficial effects that the method has important guiding significance for meeting the coking production requirements and controlling the coal blending cost, so that the evaluation of the coal quality and the cost performance of the coking coal is more reasonable.

System (100) for unified resource forecasting and earned value management (EVM) across multiple project platforms, comprising: a) a data integration module configured to extract and synchronise project-related data from multiple external project management platforms; (b) a resource forecasting module configured to analyze historical and real-time data to predict future resource requirements using artificial intelligence (AI) or machine learning algorithms; c) an Earned Value Management (EVM) module configured to calculate performance metrics including Earned Value (EV), Planned Value (PV), Actual Cost (AC), Cost Performance Index (CPI) and Schedule Performance Index (SPI); d) a real-time dashboard module configured to visually present project data, performance indicators and predictive insights through interactive graphical interfaces; (e) an alerting and notification module configured to generate automatic alerts based on deviations in performance metrics or resource thresholds; (f) a collaboration module configured to facilitate communication with stakeholders, task allocation and dissemination of updates; g) and an analysis and reporting module configured to generate customized reports, trend analysis and predictive insights, h) the modules being interconnected by a centralised processing unit to enable integrated real-time project management and resource optimisation.

The invention discloses a method for establishing a cost performance measuring and calculating model for sintering solid fuel based on multi-objective evaluation, and the method comprises the steps: calculating the sintering production consumption cost of to-be-used fuel, the sintering production cost influenced by the breaking of the to-be-used fuel, and the sintering production cost influenced by the to-be-used fuel on the consumption of a flux; the desulfurization influence cost of the use of the to-be-used fuel on sintering production and the denitration influence cost of the use of the to-be-used fuel on sintering production are compared, the fuel can be evaluated from multiple angles more comprehensively, judgment and selection can be made quickly, and the working efficiency is improved.

The invention relates to a mixed coal cost performance evaluation method, which belongs to the field of coking, and comprises the following steps: S1: formulating a coking coal cost performance performance evaluation index and a price evaluation index for different coking coal categories; S2: formulating a proportion score of each coking coal performance evaluation index; S3: formulating a performance evaluation index benchmark value for each coking coal variety; S4: formulating a score addition or deduction condition for each coking coal performance evaluation index; S5: formulating a score weight for the proportion of coal rock components of different coking coals; S6: calculating a performance score according to a performance score formula; S7: calculating the actual coking coal purchase price according to different coking coal secondary focus indicators, the coking coal purchase price and the deduction conditions of a purchase contract; S8: calculating and ranking according to the coking coal cost performance formula, and guiding the purchase of coking coal; S9: ranking the coking coal cost performance, reversely deducing coking coal that does not have a cost performance, formulating under what conditions the coking coal has a cost performance, and guiding the purchase of coking coal.

The invention discloses a task allocation method based on a cost performance maximization multi-round auction algorithm. The method comprises the following steps: obtaining an expected profit provided by each task for each agent; the task distribution process is regarded as a bidding auction process, in the first round of auction process, the bidding bid of the agent i for each task is lower than the corresponding expected profit, and the difference value between the expected profit and the bidding bid is regarded as the expected final profit; the agent i selects the task with the highest expected final profit from all the tasks for auction; if the auction succeeds, the task is directly allocated to the agent i; if the auction fails, the agent i modifies the auction bid; obtaining a new expected final profit according to the auction bid after modification; and auction is carried out again according to the new expected final profit until the auction succeeds. Through the method, the task distribution benefit and the completion effect can be comprehensively improved.

The embodiment of the invention provides a commodity recommendation method and device, a model training method and device, equipment and a storage medium. The method comprises the following steps: determining attribute features and price features of a target commodity; wherein the attribute feature comprises at least one grading representation; the grading representation represents the defect degree of the target commodity on each key commodity attribute; the price feature represents the price discount degree of the target commodity; based on a cost performance quantitative model, processing the attribute features and the price features of the target commodity to obtain a cost performance result of the target commodity; wherein the cost performance result is used for commodity recommendation. According to the method, the commodity cost performance can be reflected more accurately, and the commodity recommendation accuracy is improved.

The invention belongs to the technical field of coking coal blending, and particularly relates to a fat coal and coking coal detailed evaluation method which is characterized in that by selecting random vitrinite reflectance distribution parameters and suitability indexes, the method comprises the following specific steps: 1) selecting a plurality of coals and factory prices Q thereof; 2) establishing an equation; 3) performing regression analysis by using multiple linear regression; 4) P foundation = K (lt); 0.5) Xi (llt; 0.5) + K (0.5 to 0.65) Xi (0.5 to 0.65) + K (0.65 to 0.8) Xi (0.65 to 0.8) + K (0.8 to 0.9) Xi (0.8 to 0.9) + K (0.9 to 1.2) Xi (0.9 to 1.2) + K (1.2 to 1.5) Xi (1.2 to 1.5) + K (1.5 to 1.7) Xi (1.5 to 1.7) + K (1.7 to 1.9) Xi (1.7 to 1.9) + K (1.9 to 2.5) Xi (1.9 to 2.5) + K (gt); 2.5) Xi (gt); 5) setting P final = P foundation (1 + ln (CSR / CSR standard)), and 6) judging that the higher the P final-P actual difference value is, the higher the cost performance of the coal type is, and otherwise, the lower the cost performance is. The method has the advantages that the suitability parameter is introduced into the evaluation equation for the first time, the evaluation result can better reflect the actual production requirement, and the evaluation of the coal quality and the cost performance of the coking coal is more reasonable.

The invention belongs to the technical field of coking coal blending, and particularly relates to a scientific evaluation method for fat coal and coking coal, which is characterized in that the cost performance of coking coal is evaluated by selecting a random vitrinite reflectance distribution parameter and an adaptability index, and the scientific evaluation method specifically comprises the following steps: 1) selecting a plurality of coals and factory prices Q thereof; 2) establishing an equation; 3) performing regression analysis by using multiple linear regression; (4) P foundation is made to be equal to K (lt); 0.5) Xi (llt; 0.5) + K (0.5 to 0.65) Xi (0.5 to 0.65) + K (0.65 to 0.8) Xi (0.65 to 0.8) + K (0.8 to 0.9) Xi (0.8 to 0.9) + K (0.9 to 1.2) Xi (0.9 to 1.2) + K (1.2 to 1.5) Xi (1.2 to 1.5) + K (1.5 to 1.7) Xi (1.5 to 1.7) + K (1.7 to 1.9) Xi (1.7 to 1.9) + K (1.9 to 2.5) Xi (1.9 to 2.5) + K (gt); 2.5) Xi (gt); 5) setting P final = P foundation (CSR / CSR standard), and 6) determining that the larger the actual difference value of P final-P is, the higher the cost performance of the coal type is, and otherwise, the lower the cost performance is. The method has the beneficial effects that the cost performance evaluation of the fat coal and the coking coal is realized, and the method has important guiding significance for meeting the coking production requirements and controlling the coal blending cost.

The application discloses a new energy power station storage load configuration method and device based on risk optimization, first constructs a storage load scheme library and an uncertain scene library, calculates new energy power generation income of a single scene of a given scheme, and after the calculation, through cyclic iteration, outputs new energy power generation expected income and storage load configuration cost of each scheme. The risk cost performance ratio of all schemes is comprehensively selected to select the optimal storage load configuration scheme. The new energy power station storage load configuration method and device based on risk optimization provided by the application constructs a scene library to quantize the influence of uncertain working conditions on new energy power generation, uses a risk cost performance ratio to quantize the beneficial effect of a storage load scheme on new energy power generation, and is convenient for optimizing and selecting a configuration scheme to prevent and control operation risks and improve power generation income.

The invention relates to the technical field of computer design, in particular to a T-beam wet joint active protection bottom-wrapping scheme evaluation method and device, and the method comprises the steps: S1, obtaining a construction environment parameter group; s2, setting a to-be-evaluated scheme; s3, verifying the rigidity and strength of the to-be-evaluated scheme through the simulated static load and wind load, and verifying the swing amplitude under the wind load; if the verification is passed, entering S4, otherwise, entering S5; s4, the manufacturing cost of the to-be-evaluated scheme is calculated, and then a cost performance index is calculated and recorded; s5, analyzing the influence degree of the change of each design variable in the to-be-evaluated scheme on each verification item, calculating the influence priority of each design variable in combination with the safety margin, and adjusting the design variable with the maximum influence priority to form a new to-be-evaluated scheme; and S6, outputting the to-be-evaluated scheme with the highest cost performance index as a final scheme after iteration in S3-S5 is completed. The optimal cost performance scheme can be calculated according to different construction environments.

The invention provides a water resource optimal configuration method based on cost performance, and the method comprises the steps: building a dynamic bidding game model based on the demand characteristics of multiple users, the optimal selection theory of consumers and the demand price elasticity, and enabling the dynamic bidding game model to integrate a performance factor based on water resources and a cost performance evaluation system of a price factor; solving the dynamic bidding game model in different supply and demand states, and determining water distribution results of each water resource for different users; and generating a water resource optimization scheduling scheme based on the water distribution result. According to the invention, the problems of low resource allocation efficiency, unbalanced supply-demand relationship and incapability of meeting diversified demands of users caused by single and solidified pricing and allocation modes based on water supply cost or administrative instructions in the prior art are avoided.

The invention provides a technical and economic evaluation method for evaluating coke quality and cost performance, electronic equipment and a readable storage medium. The technical and economic evaluation method comprises the following steps: acquiring a plurality of index data representing coke quality; determining the influence weight of the multiple pieces of index data on the fuel ratio through grey correlation analysis; calculating a coke quality score according to the influence weight and the multiple pieces of index data; and determining the cost performance index of the coke according to the coke quality score and the coke price.

For providing recommendations for bill of materials revision, a database is storing bills of materials for a set of products. A pattern learning module processes the stored bills of materials to learn patterns. Embodiments for learning structural and temporal patterns are provided. A pattern application module applies the patterns to a current bill of materials for a product of interest and forecasts recommendations, with each recommendation indicating how the current bill of materials should be updated. A user interface outputs the recommendations along with the applied patterns and their confidence values. The method and system provide an automized framework that forecasts revision for products. That framework helps to boost product quality by avoiding late recognition of change needs that would most likely negatively impact product and cost performance. Automatically assessing the change needs reduces hours spent by domain experts on these tasks, which saves internal costs.

The invention provides a method for realizing automatic design and implementation of GDBC screening production links, which is characterized by comprising the following steps of: compiling a processing flow executed by a GDBC automatic script by using a computer language; and setting and calling the script to automatically run at regular time every day by utilizing a built-in task planning program of the FTP server system, and managing through a file structure of the FTP server. The method does not need manual processing to participate in the production link, and ensures the accuracy and real-time performance of the production link. According to the method, automation is achieved, the result is accurate, the cost performance is higher, people do not need to find die conforming to the GDBC rule with eyes, marking processing is manually conducted on the wafermap file of the text type, and mistakes and omissions are avoided.

The invention relates to a method for measuring and calculating the cost performance of waste steel for a blast furnace, and belongs to the technical field of waste steel treatment. The method comprises the steps that the current price of outsourcing waste steel is obtained; the method comprises the following steps: smelting outsourced waste steel through a blast furnace, detecting the iron content of smelted iron blocks and the oxygen content of slag samples, and determining fuel consumption required by reduction of iron oxide in the outsourced waste steel in the blast furnace; calculating the fuel cost of the outsourcing scrap steel in the blast furnace according to the total fuel consumption required by melting and reduction of the outsourcing scrap steel in the blast furnace; obtaining the process cost of the blast furnace, and calculating the fixed cost of the purchased scrap steel in the blast furnace; according to the current price, the fuel cost and the fixed cost of the outsourcing scrap steel, the total use cost of the outsourcing scrap steel in the blast furnace is calculated; and comparing the total use cost of the outsourcing scrap steel with the current blast furnace molten iron cost to obtain the cost performance of the outsourcing scrap steel in the blast furnace. The cost performance of the scrap steel is comprehensively evaluated by calculating the raw material cost, the fuel cost and the fixed cost of the scrap steel in the using process of the blast furnace.

The invention discloses an information service consultation expense management method and system, and the method comprises the steps: extracting a feature vector from a consultation project management system in response to a consultation expense approval request; inputting the feature vectors into an approval path decision model, calculating a comprehensive decision score of each candidate path, and determining an execution path according to a calculation result of the comprehensive decision scores; the identity of a current approver is determined, a dynamic abstract is generated according to the identity of the approver, and the dynamic abstract comprises a semantic vector of the approval request, a budget execution deviation rate and a cost performance value; and detecting an approver state, a budget execution deviation rate and a cost performance value, and when the approver state is abnormal or the budget execution deviation rate is greater than a first threshold value or the cost performance value is smaller than a second threshold value, triggering rerouting of the approval path so as to update the execution path. According to the invention, the continuity and flexibility of the approval process are guaranteed, the approval efficiency is greatly improved, and the refined management and control of the consultation cost are enhanced.

The invention provides a method and a device for dynamically measuring and calculating manpower needed by nuclear energy engineering and a readable storage medium. The method comprises the following steps: calculating an initial required number of people based on the residual workload and unit labor amount of a target process; obtaining multi-dimensional performance parameters, wherein the parameters at least comprise a progress performance index, a cost performance index, a safety performance index and a process coupling degree reflecting the correlation closeness degree of a current process and upstream and downstream processes; and performing dynamic correction on the preliminary required number of people by fusing the multi-dimensional performance parameters, performing reverse correction on the preliminary required number of people by using the safety performance index, and performing forward correction on the preliminary required number of people by using the process coupling degree to obtain the required number of people after performance adjustment. According to the method, the problems of large measurement and calculation deviation, poor adaptability and safety risk caused by the fact that an existing manual measurement and calculation method depends on a single parameter and is not adaptive to the particularity of nuclear engineering are solved.

The invention provides a project engineering budget generation method, system and device and a medium. The method comprises the steps of obtaining historical budget data of all engineering projects; determining cost performance indexes of different engineering projects, and performing association analysis through all the cost performance indexes in combination with different engineering characteristics of the engineering projects to obtain cost conversion coefficients of the different engineering characteristics; dividing the target engineering project into a plurality of engineering sub-projects, and determining a feature association relationship of each engineering sub-project through all the cost conversion coefficients; obtaining a cost risk, constructing a risk distribution model of each project sub-project, and further generating a cost hyper-branched rate of each project sub-project at different construction nodes; and determining confidence cost information of each project sub-project according to all the cost hyperbranched rates and all the feature association relationships, and further updating a project budget table of the target project. According to the scheme, the project budget can be dynamically adjusted along with the change of the construction progress.

The invention discloses a low-volume spray with hexythiazox and relates to pesticide. The low-volume spray comprises, by mass, 1-10% of hexythiazox, 5-15% of tea saponin and the balance water. During preparing, the water and the tea saponin are added into a blending kettle to be mixed evenly, the hexythiazox is added and fully disperses in the mixture of the water and the tea saponin, a sand mill is used for conducting milling, sampling is conducted, quality is detected, and filling and packaging are conducted. The water and the natural tea saponin serve as carriers, so the spray is safe to people and livestock and environmentally friendly and does not produce phytotoxicity to crops. The formula is simple, the water serves as the carrier, cost is low, and the cost performance is high. The amount of water for diluting the spray is small, and the spray is especially suitable for being sprayed in the dried and high mountainous water-deficient areas. The spray can be used for low-volume and ultralow-volume spraying, the work efficiency of the spray is higher than that of common spraying, and the labor cost is saved. The dripping loss of the pesticide is small, the pesticide utilization rate is high, and the environment pollution is reduced.

The application provides a kind of motor generator full life cycle cost performance evaluation system for overhaul.The system includes sequentially connected equipment data acquisition module, cost performance calculation module, overhaul decision evaluation module and display and interactive module; through the interface of equipment data acquisition module, the data acquisition and extraction of bottom terminal equipment, the cost performance calculation module calculates the change of overhaul cost input and operation performance according to equipment operation data, obtains the cost performance relationship result uploaded to the overhaul decision evaluation module to analyze the single overhaul operation and maintenance benefit and the optimization effect of equipment full life cycle management, finally sets up the display and interactive module to informationally display the evaluation decision result and interactively optimizes with actual operation and maintenance management.The application realizes the management optimization of equipment operation and maintenance work, reduces the cost performance ratio in the full life cycle of equipment, realizes the comprehensive optimization of economy and reliability of equipment management.

The application discloses a SiO2 acidic burden cost performance evaluation method, according to the blast furnace burden structure and sinter basicity, the influence of SiO2 in SiO2 acidic burden on the cost performance of the acidic burden is determined to be positive or negative, the influence of SiO2 on the cost performance of the acidic burden is converted into the burden price, different calculation formulas are used to calculate the cost performance of the acidic burden according to the positive or negative, the deficiency of the present ton-degree price evaluation method is made up, and more effective guidance is provided for purchasing the acidic burden (for blast furnace) with higher cost performance; for the steel plants with large burden structure difference in the subarea setting, the method can be used to guide the use of a certain acidic burden in which area has higher cost performance.

The invention provides an iron ore smelting cost analysis method and system based on multi-dimensional data fusion. The method comprises the following steps: collecting cost factor data in each iron ore smelting process; performing importance analysis of each cost factor and preliminary prediction of unit molten iron cost by using a random forest algorithm to obtain a first prediction result; on the basis of the importance analysis result, a multiple regression model of the key cost factors is constructed, parameters of the multiple regression model are optimized through an ant colony algorithm, the unit molten iron cost is predicted again, and a second prediction result is obtained; and the first prediction result and the second prediction result are fused, the final unit molten iron cost of each iron ore is obtained, and cost performance comparison is carried out. According to the method, various complex cost factors of iron ore smelting are comprehensively analyzed, rapid and accurate prediction of the unit molten iron cost is achieved, the smelting cost performance of each iron ore can be rapidly and accurately obtained, and enterprises can rapidly adjust purchase production strategies and cost control measures.