19 results about "Economic feasibility" patented technology

The invention discloses a calculation method for waste aluminum optimal proportion and raw material cost in 6-series aluminum alloy round ingot smelting, which comprises the following steps of: firstly, determining suitability and maximum additive amount of waste aluminum: determining component calculation values of all elements according to a preset rule by comparing target alloy component requirements with actual components of the waste aluminum; and calculating the additive amount limited by each element, taking the minimum value of the additive amount as the theoretical maximum additive amount, and judging whether the economic threshold value is reached or not. And for the waste aluminum suitable for addition, cost-benefit analysis is carried out subsequently: the reference cost of not using the waste aluminum and the scheme cost of using the maximum addition amount of the waste aluminum are calculated respectively, and the economic feasibility of purchase and use is evaluated by comparing the reference cost and the scheme cost. According to the method, technical feasibility and economic analysis are combined, a quantitative decision support method is formed, whole-process optimization from casting matching to purchase decision is achieved, and the resource utilization rate is remarkably increased and the production cost is reduced while the stable quality of aluminum alloy products is guaranteed.

The invention relates to a power grid key technology breakthrough point prediction method and device and a medium, and the method comprises the steps: collecting and preprocessing power grid technology related patents or literature texts, dividing data according to a preset time window, and forming a time sequence text set; based on the time sequence text set, obtaining technical topic distribution of the corresponding time window and keywords of all technical topics, and constructing topic evolution characteristics of all the technical topics; based on the topic probability features, considering strategy influence and technology collaborative correction, fitting an S-shaped curve, and obtaining substitution parameters; based on a pre-established topic evolution feature-substitution parameter rule, matching a technical breakthrough point direction, clustering keywords of a technical topic, obtaining breakthrough point sub-directions, quantitatively evaluating the priority of the breakthrough point sub-directions according to technical feasibility, economic feasibility and strategy suitability, and outputting power grid key technical breakthrough point prediction. Compared with the prior art, the method achieves the precise prediction of the key technology breakthrough point of the power grid.

Provided is a method for simulating creation of a smart farm complex by using geographic information, the method comprising: a target area input step of inputting, from a terminal to a server, information for specifying a target area in which is to be created a smart farm complex comprising at least one of a processing and distribution facility, an exhibition and learning facility, and a commercial facility together with a smart farm; a complex design step of selecting each facility constituting the smart farm complex to be created in the target area specified via geographic information and setting parameters of the area and image design of each zone of each facility from the terminal to the server; a smart farm design step of setting, from the terminal to the server, parameters of crops, smart farm-specific area, smart farm type, external facilities, internal facilities, and energy facilities of the smart farm; and an economic feasibility analysis step of performing, on the server, a simulation of a creation cost, an operation cost, and a sales amount of the smart farm, on the basis of parameters of the respective facilities of the smart farm complex and respective parameters of the smart farm.

The invention provides a server and a method for operating a simulation management platform of a beginner company through learning based on artificial intelligence. The server includes at least one processor and instructions that store instructions that the at least one processor perform at least one step. In at least one step, a business plan is generated and calculated according to an existing problem input by a user terminal, a resolvable thought, a core technology, a target market and a customer, and a company commercialization budget and a period predetermined by at least one learner. The method comprises the following steps: calculating an internal return rate (IRR) and a net present value (NPV) according to a calculated predicted profit and loss table, carrying out economic feasibility analysis, and automatically generating a business plan and a demonstration material of a demonstration day through an analyzed economic feasibility result. A step of providing the generated business plan of the demonstration day and the demonstration material to other learners, and investing a simulation company of the other learner to at least one learner.

This method for providing guidance for operation of a residual hydro desulfurization process includes the steps of: obtaining target quality information of an oil refining product; determining values of controllable operating parameters in a residual hydro desulfurization process so as to maximize a value of an objective function derived by subtracting costs incurred in refining a target flow rate of an oil refining product from a profit that can be calculated on the basis of the target flow rate of the oil refining product; and providing an optimal operation guidance of the residual hydro desulfurization process through a user interface on the basis of the determined values of the controllable operating parameters.

The invention provides a point-to-network channel electric heating composite energy storage new energy increasing and delivering space determination method and system. The method comprises the following steps: acquiring technical and economic parameters of each element in project planning, and acquiring a transmission power curve of a power transmission channel; constructing and solving a total element optimization model based on the output power curve and the technical and economic parameters of each element; calculating a threshold index of project planning according to an optimization result in response to the optimization result which meets the optimization target and is obtained through solving; and comparing whether the threshold value index meets a threshold value requirement or not, and executing solving circulation based on a comparison result until the threshold value requirement is met, and calculating to obtain a new energy electric quantity space of the power transmission channel. Through collaborative optimization of electric heating composite energy storage and iterative decision based on economic indexes, on the premise that stable operation of the power transmission channel is ensured, the electric quantity space of new energy is increased in the maximum channel, and meanwhile the economic feasibility of the planning scheme is ensured.

The invention relates to the field of chemical detection and machine learning, and discloses a steel slag carbon sequestration potential and economic benefit evaluation system based on machine learning, which comprises a multi-dimensional characteristic data construction subsystem, a carbon sequestration capability prediction model construction subsystem, an energy consumption and carbon sequestration double-target game optimization subsystem and an economic feasibility evaluation subsystem. The multi-dimensional feature data construction subsystem is used for generating standardized feature data containing chemical, physical and technological parameters; the carbon sequestration capability prediction model construction subsystem establishes a carbon sequestration quantity nonlinear mapping relation by using a machine learning model; the energy consumption and carbon sequestration dual-objective game optimization subsystem outputs a Pareto optimal solution set considering the maximum carbon sequestration amount and the minimum energy consumption cost; and the economic feasibility evaluation subsystem is combined with a carbon transaction price parameter to execute cost income verification on the optimal solution set and screen a recommendation scheme with the maximum net income, so that rapid prediction and technical economic collaborative optimization are realized, and decision support is provided for the steel slag carbon sequestration project.

The invention relates to an aquaculture ship function module priority determination method based on a hierarchical entropy weight method, and belongs to the technical field of aquaculture ship resource allocation. A scheme layer is determined according to bait transporting and casting data, net changing and washing data, live fish transportation data, typhoon rush harvesting and living data; and obtaining demand intensity data, use frequency data, technical complexity data and economic feasibility data, and constructing a criterion layer according to the demand intensity data, the use frequency data, the technical complexity data and the economic feasibility data, thereby determining the priority of the function module of the breeding ship according to the scheme layer and the criterion layer. And the result stability is verified through sensitivity analysis, and finally, dynamic resource allocation is performed on the target culture ship based on the priority of the culture ship function module. According to the method, the problem that function module priority evaluation depends on subjective experience is solved, and scientific support is provided for breeding ship function type selection, design and resource allocation.

The invention discloses a method and a system for evaluating economic feasibility of carbon sequestration and emission reduction measures, and belongs to the technical field of ecological system carbon sequestration and emission reduction. The evaluation method is carried out according to the following steps: the economic feasibility of carbon sequestration and emission reduction measures meeting the following formula I or the following formula II is realized; the REW-CTW-DPCgt is selected from the group consisting of 0 formula I; and REC-CTC + IPCgt; 0 formula II; in the formula I, REW is the economic benefit of returning to wet and clean income and expenditure, and the dimension is yuan / ha; cTW is the cost benefit of returning to humidity by returning to ploughing, and the dimension is yuan / ha; dPC is grain output reduction loss, and the dimension is yuan / ha; in the formula II, REC is the economic benefit of wetland reclamation, and the dimension is yuan / ha; cTC is reclamation economic cost, and the dimension is yuan / ha; iPC is the economic benefit of increasing the yield of the new farmland, and the dimension is Yuan / ha. A plurality of wetland field verifications prove that the evaluation method and system are reliable, effective and accurate.

The invention provides a project review method and system based on a large model. According to the method, firstly, scheme key points of a current project construction scheme are extracted by using a target large model, and a data foundation is built for subsequent decision making; policy documents and historical scheme key points associated with the current project construction scheme in a preset knowledge base are further obtained and analyzed, so that a policy basis can be provided for project review, and the economic feasibility of the project review can be ensured; the current project construction scheme is further analyzed according to historical projects; key element review information of the current project construction scheme is further extracted and analyzed, and it can be ensured that key elements meet project requirements; and finally, taking the scheme key points, the analyzed historical budget reference information, the target policy file, the current scheme construction function analysis report and the target element review analysis as review bases. The process does not depend on a manual review method, and intelligence of the project review method can be realized, so that the efficiency of project review work can be improved.

An experimental method for improving the electromagnetic energy conversion rate based on an LCR circuit comprises the following steps that s1, a basic experimental system is built; s2, executing a first basic experiment; s3, executing a second contrast experiment; s4, executing a third advanced experiment; s5, executing a fourth optimization experiment; s6, executing a fifth parameter scanning experiment; the whole process from basic efficiency measurement to multi-factor optimization is systematically displayed, and the system has the characteristics of teaching systematicness, quantitative visualization and engineering exploration depth. A complete teaching device system from a basic principle to engineering application is constructed, precision measurement is performed on data, academic preciseness, teaching practicability and economic feasibility are integrated, and the teaching device has definite differentiated competitive advantages in the field of college physics experiment teaching equipment and solves the problems of university physics experiment and engineering application teaching. And the problem in the field of electromagnetic energy efficiency deoxidation optimization is solved.

According to the calculation method of the scientific and technological achievement feasibility analysis system, the achievement conversion rate is comprehensively and accurately analyzed and evaluated from technical feasibility, economic feasibility, market feasibility and operation feasibility, the reliability and accuracy of scientific and technological achievement feasibility analysis are improved, the scientific and technological achievement conversion rate is increased, and the industry development speed is increased; the transformation period and the transformation quantity of scientific and technological achievements are stably improved; and the industry is helped to make an accurate emergency strategy.

The invention provides a carbon dioxide geological sequestration project full life cycle cost accounting method and device, and the method comprises the steps: obtaining the cost fluctuation data of each cost type in a carbon dioxide sequestration project; wherein the cost type comprises at least one of the following items: engineering geological exploration, engineering construction, engineering purchase, injection and monitoring operation, and emergency maintenance; for each cost type, estimation is carried out based on the corresponding probability distribution model, and cost probability distribution parameters are obtained; and performing Monte Carlo simulation based on the cost probability distribution parameter of each cost type to obtain a total engineering cost parameter. Through the technical scheme of the invention, the full-life-cycle cost accounting of the carbon dioxide geological sequestration project can be realized, and data support is provided for the economic feasibility verification of an engineering project.

This invention relates to the field of energy and power system planning and evaluation technology, specifically to an evaluation method, apparatus, and equipment for clean and low-carbon transformation technology paths of coal-fired power. In this invention, by integrating the full life-cycle carbon emission data of multiple technology paths and simulating the dynamics of actual power supply and demand through operational simulation, both the carbon emission per kilowatt-hour and the levelized cost per kilowatt-hour of the transformation path are simultaneously used as optimization objectives, with load fulfillment rate as a constraint. Using a multi-objective optimization algorithm, a series of Pareto optimal paths can be automatically identified under a given scenario. These paths clearly reveal the trade-off between cost and emission reduction, thereby helping decision-makers select transformation strategies that achieve the optimal balance between carbon emissions and power generation costs while ensuring a safe and reliable power supply. This provides accurate and reliable quantitative basis for the coal-fired power industry to formulate a low-carbon development path that is both environmentally friendly and economically feasible.

The invention discloses an economic evaluation and purchase decision-making method of waste aluminum for 6-series aluminum alloy smelting, which comprises the following steps of: firstly, acquiring target alloy components, waste aluminum components and theoretical maximum additive amount W of the target alloy components and the waste aluminum components, and calculating W by considering iron increment delta Fe and titanium increment delta Ti introduced by smelting; then, based on the W and the market price, the reference cost C1 of not using the waste aluminum and the scheme cost C2 of using the waste aluminum are calculated respectively, and the raw material amount of elements contained in the waste aluminum needs to be deducted in C2 calculation; and finally, calculating the cost reduction amount per ton according to a formula: delta C = (C1-C2) / Q * 1000, and if the delta C is greater than the sum of the waste aluminum treatment cost S and the profit buffer P, procurement is judged to have economic feasibility. According to the invention, a process technology and cost accounting are combined, accurate purchase decision-making driven by data is realized, and the resource utilization efficiency and the cost control capability are improved.

The invention discloses an energy distribution method and device, and relates to the technical field of new energy. The energy distribution method comprises the following steps: acquiring a target energy consumption curve and a target energy supply and demand map of industrial silicon; based on the target energy consumption curve and the target energy supply and demand map, establishing a multi-target mixed integer programming model; based on the multi-target mixed integer programming model, dynamic optimization is carried out through a genetic algorithm or reinforcement learning, and a target energy distribution strategy is obtained; and according to the target energy distribution strategy, first target equipment in the energy system is controlled to execute a control instruction corresponding to the target energy distribution strategy, so that energy distribution of the first target equipment in the energy system is realized. According to the embodiment of the invention, the target energy distribution strategy determined by the method can give consideration to the environmental protection performance and the economic feasibility, so that the energy distribution of the first target equipment in the energy system is realized according to the target energy distribution strategy, the environmental protection performance and the economic feasibility can be taken into consideration, and the reasonability of energy distribution can be improved.

This invention provides a method for assessing the hazard of ridge erosion, analyzing the urgency of remediation, and optimizing remediation efforts. The method includes: acquiring and preprocessing multi-source data; identifying extreme weather events and establishing a model linking them to ridge erosion; assessing the intensity of anthropogenic disturbances; extracting ridge erosion characteristics and verifying them in the field; constructing an evaluation index system by integrating extreme weather, anthropogenic disturbances, and ridge erosion characteristics; constructing a CNN-RNN-Transformer fusion deep learning model for comprehensive hazard assessment; constructing an urgency assessment model based on the evaluation results and considering factors such as the township's leading industries and the economic feasibility of remediation; using GIS technology to visualize the evaluation results, generating a grade distribution map, and proposing remediation measures; optimizing the parameters of the remediation measures; and constructing an industry-specific economic benefit model to assess the economic feasibility of remediation. This invention solves the technical problem that traditional ridge erosion hazard assessments do not fully consider external factors such as extreme weather and anthropogenic disturbances, leading to biased evaluation results and difficulty in accurate remediation.

The invention relates to the technical field of coal-electricity transportation project evaluation, in particular to a coal-electricity enterprise transportation project evaluation method and device, electronic equipment and a storage medium. According to the method, the carbon emission cost in the transportation process is quantified and is included into the total cost, and the comprehensive unit price of the furnace-entering standard coal is calculated by combining the factory price, the freight and the like of the coal and is used as a key index for preliminary screening, so that the economic feasibility basis of the scheme is ensured. Then, the method further carries out strict financial benefit analysis on the feasible scheme. The comprehensive process effectively overcomes the limitation that only freight is compared in a traditional method, project investment, operation cost, environment cost and overall profitability can be systematically and comprehensively considered, a quantitative decision basis is finally provided for selecting an optimal transportation path for a coal power enterprise, and scientificity and rationality of project decision are remarkably improved. The problem that the existing coal power plant matched transportation project is incomplete and inaccurate in power plant cost and benefit identification calculation is solved.

The invention relates to the technical field of pumped storage power stations, in particular to a multi-dimensional benefit evaluation method for developing a pumped storage power station by using a mine pit, which comprises the following steps: acquiring basic geological parameters and spatial form data of the mine pit, and constructing a three-dimensional geological model of the mine pit based on the basic geological parameters and the spatial form data; calculating a mine pit volume available coefficient based on the mine pit three-dimensional geological model, and generating a power station construction cost estimation value and a power generation potential estimation value based on regional power grid load characteristic data; and when the power generation potential evaluation value exceeds a preset power generation threshold value, executing economic feasibility analysis, and calculating a peak-valley price difference profit expected value based on the construction cost evaluation value and a regional electricity price fluctuation curve. The construction cost, the power generation potential and the economical efficiency of the pumped storage power station can be accurately evaluated, then the investment decision is optimized, and the economic feasibility of a power station project is ensured.