15 results about "Life cycle costing" patented technology

The invention discloses an AC pavement full-life cost and carbon emission prediction method based on a fatigue curve, and the method comprises the steps: modeling an asphalt pavement structure of a structure A and a structure B, and enabling the structure A and the structure B to be different in surface layer material and surface layer thickness; the structure A adopts a surface layer material with a known PQI exponential decay rule, and the structure B adopts a novel surface layer material to be calculated; respectively carrying out fatigue tests on surface layer materials of the structure A and the structure B to obtain respective fatigue curves; performing PQI-damage curve fitting on the structure A to obtain fitting parameters; modeling through fatigue index migration, predicting a PQI curve of the structure B, and determining a maintenance scheme of the structure B according to the PQI index of the structure B; and calculating the whole life cycle cost and carbon emission of the structure B. According to the method, the repair time interval during the road use period can be quantitatively predicted, so that the whole life cycle cost and carbon emission of the road structure are calculated, and the adaptability evaluation efficiency of the new material pavement structure in the early stage is improved.

The invention relates to the technical field of power distribution network planning, and particularly discloses a power distribution network optical storage collaborative planning method considering delay of power grid upgrading, a double-layer optimization model of outer-layer locating and sizing-inner-layer operation scheduling is constructed, and the outer layer takes the minimum life cycle cost and the controllable risk as targets and is brought into the power grid upgrading to delay the present value income; and an inner layer optimizes a typical sunlight storage operation strategy, adopts a second-order cone programming technology to process power flow constraints, and introduces a conditional value-at-risk to quantify a scene fluctuation risk. According to the method, the whole life cycle cost of the system is reduced, the new energy consumption capability and the planning scheme robustness are improved, and an economical and efficient planning path is provided for the power distribution network under high-proportion new energy access.

The invention discloses a method and system for optimizing component parameters of a bridge structure, and relates to the technical field of bridge component parameter optimizing.The method comprises the steps that firstly, a plurality of to-be-optimized bridge components are obtained, then component parameters of any bridge component are obtained, and the component parameters are regarded as optimization variables; constructing a primary objective function dominated by economical efficiency and a secondary objective function dominated by structural performance; fitting a comprehensive objective function based on the constructed primary objective function and secondary objective function, introducing a time dimension, and establishing a full-life-cycle total cost function to comprehensively evaluate the full-life-cycle cost of the bridge component; a constraint condition system is constructed, and engineering constraints needing to be met in the optimization process are clarified; carrying out secondary fitting on the comprehensive objective function and the total life cycle cost function to obtain a final objective function, and fusing the constraint condition system into the final objective function; and performing derivation on the final objective function, and finding an optimization variable which meets the constraint condition system and enables the final objective function value to reach the minimum value.

An artificial intelligence-based document and life cycle cost analysis method for solar energy contracts. This method includes two main modules, the AI-based document analysis module and the life cycle costs analysis module. The AI-based document analysis module uses natural language processing (NLP) and a generative pre-trained transformer (GPT) to summarize the key insights and deficiencies of a solar energy proposal or contract and extract the necessary input data for a life cycle cost analysis. The life cycle cost analysis module accepts the input data from the AI-based document analysis module, acquires additional data from other sources like the internet and runs the life cycle cost analysis for the solar energy proposal or contract. The entire process is automated to minimize human error and maintain high industry standards from start to finish. This ensures that the results are both professional and comprehensible for the average property owner.

The application discloses a multi-modal logistics capacity dynamic scheduling method and device for large-scale extraterrestrial facility construction and a storage medium, the method aims at the problems of high single rocket transportation cost and long single space elevator construction period, constructs a whole life cycle cost coupling model integrating a cumulative transportation quantity learning curve and a technology maturity evolution law, adopts a discrete global traversal algorithm to perform multi-dimensional weighted optimization on a construction period and a system total cost in a feasible time domain, determines a global optimal time threshold of capacity mode switching, and introduces a physical disturbance model to correct the robustness of a scheduling scheme. The system automatically generates phased dynamic scheduling instructions based on the optimal time threshold, assigns high-frequency rockets to fill the capacity gap in the early construction period, and switches to a space elevator dominant transportation in the operation period. Through the peak-shaving complementary mechanism of heterogeneous capacity, the application solves the multi-objective conflict of transportation cost and engineering period, and realizes the automatic planning and optimization of the logistics scheme of extraterrestrial infrastructure construction.

The application discloses a highway expansion mode decision method based on a whole life cycle cost benefit, and comprises the following steps: S1, highway expansion period construction cost is estimated; S2, highway expansion period construction carbon emission cost is estimated; S3, highway expansion period operation benefit loss is estimated; S4, highway operation period operation benefit is estimated; S5, highway expansion operation period operation cost is estimated; S6, highway expansion period and operation period vehicle operation carbon emission cost are estimated; S7, based on whole life cycle cost benefit analysis, the expansion scheme is decided.The application considers the construction and operation period carbon emission cost and the expansion period operation benefit loss, so that the whole life cycle cost benefit system of the highway expansion project is more perfect.Facing different expansion modes, the method can be used to complete the total cost benefit analysis of the construction period and the operation period, and the generality of the decision method is improved.

The invention discloses a method and a system for evaluating the life cycle cost of a subway freight system under passenger and freight collaboration. The method comprises the following steps: constructing a life cycle cost model of the subway freight system under passenger and freight collaboration, wherein the life cycle cost model comprises four stages of decision design, construction, operation maintenance and scrap recovery; determining a key cost factor influencing the cost of each stage of the subway freight system under the whole life cycle cost model, and constructing a whole life cycle cost factor relation model of the subway freight system under passenger and freight cooperation based on each cost factor influence factor; and based on the whole-life-cycle cost motivation relationship model and the passenger and freight income of the subway freight system under passenger and freight collaboration, predicting and evaluating the minimization of the whole-life-cycle cost or the maximization of the benefit of the subway freight system under passenger and freight collaboration. By constructing a cost calculation framework and model, key cost causes are identified and quantified, and accurate evaluation and effective management of the M-ULS cost are realized.

The invention provides a design method for reducing the whole life cycle cost of electronic hardware equipment, which relates to the field of electronic equipment management and comprises the following steps: S1, importing a component list of an initial design scheme; s2, determining an alternative replacement component for each component in the list, and forming a component alternative replacement mapping table; s3, constructing an alternative design scheme set based on the mapping table; s4, reliability evaluation is carried out on each alternative design scheme in the scheme set, and the severity level fault rate and the total product fault rate of each scheme are obtained; s5, calculating the whole life cycle cost of each scheme based on a reliability evaluation result; and S6, comparing the whole life cycle cost of all the alternative design schemes, and selecting the scheme with the optimal cost as the final design scheme. According to the method, the product life cycle cost formed by the manufacturing cost, the maintenance cost and the fault influence cost is reduced in the design stage of the electronic equipment, and comprehensive optimization of the economical efficiency and the reliability of the electronic equipment is achieved.

The utility model provides a kind of based on technical economy's electric power equipment optimal operation life decision method, belong to renewable energy technology field, to solve the problem that existing calculation electric power equipment operation life is not combined with economy and technology, it includes: constructing the full life cycle cost estimation module of electric power equipment;Using the output result of full cycle cost estimation module combined with the uniform speed deterioration trend of operation and maintenance cost and the fault probability of overhaul cost, constructs the static economic life estimation model of electric power equipment;Using the output result of static economic life estimation model combined with the time value of fund, constructs the dynamic economic life estimation model of electric power equipment;Output dynamic economic life estimation result;Construct the technical life prediction model of electric power equipment based on HGWO-LS-SVM algorithm, output technical life prediction result;According to dynamic economic life estimation result and technical life prediction result, obtain the optimal operation life of electric power equipment.It is used to calculate electric power equipment operation life.

The invention relates to a coastal region transformer full-life periodic performance evaluation and decision-making method and system, and belongs to the technical field of power system asset management and reliability evaluation. The method comprises the steps of collecting multi-source data of a transformer and performing standardization processing; constructing an environment equivalent strength index according to the environment data, fusing the operation load and the state monitoring data, and constructing a comprehensive degradation index reflecting thermal aging and corrosion damage; determining a reference failure rate based on the service life, and correcting the reference failure rate by using the comprehensive degradation index to obtain a time-varying failure rate; calculating the whole life cycle cost and carbon emission based on the time-varying failure rate and the economic data; and solving an optimal replacement strategy by taking the lowest cost and carbon emission as targets. According to the method, the problems that the traditional method is difficult to quantify the coastal environment influence, and cannot dynamically evaluate the equipment health state and perform multi-objective optimization decision making are solved, and lean and green low-carbon management of the whole life cycle of the transformer is realized.

The invention provides an intelligent prediction method and system for the whole life cycle cost of power grid equipment, and belongs to the technical field of power grid asset management and artificial intelligence. The method comprises the following steps: constructing a multi-dimensional original data set; performing preprocessing and mechanism characteristic generation on the original data, and constructing a space-time atlas sequence; constructing an STA-STGCN dynamic deep learning model, and performing training and hyper-parameter optimization on the model by using a historical space-time atlas sequence; and inputting a space-time atlas sequence of to-be-predicted equipment into the trained STA-STGCN dynamic deep learning model, outputting a classification cost prediction value and a total prediction value of a specified period in the future, and generating a confidence interval and a risk level of a prediction result through a Monte Carlo Dropout technology. According to the method, prediction with higher precision, higher robustness and better decision value is realized, and lean management requirements of power grid assets are met.

The invention relates to a transformer full-life type selection method in a new energy delivery environment, and relates to the technical field of transformer type selection. According to the application, the outgoing new energy power generation transformer is taken as a research object, the outgoing new energy output characteristics are aimed at, the whole life cycle cost idea of the transformer is based on the transformer electric-thermal coupling relationship, key meteorological elements are obtained by using the meteorological environment big data technology, and the operation temperature of the transformer in the designed life cycle is simulated; and introducing a life loss constraint, and seeking the optimal transformer capacity meeting the life loss constraint by taking the minimum life cycle cost of the transformer as a target. According to the method, the construction cost data of the current transformer is combined, and the new energy output characteristics and the change characteristics of the meteorological environment are fully considered in the operation temperature simulation process of the transformer, so that the problems existing in a traditional transformer capacity selection method are effectively solved.

This invention discloses a control method, device, equipment, medium, and product for a hybrid electric locomotive, relating to the fields of rail transit engineering and vehicle engineering technology. The method includes: if the vehicle system of the hybrid electric locomotive meets the activation conditions, entering an activation mode; after entering the activation mode, performing operating condition prediction based on line forward information to obtain a target operating condition and corresponding vehicle state data; performing global power planning based on the vehicle state data to obtain target planning data; the target planning data includes a reference power trend, a target SOC reference trend, a minimum excitation baseline, and a weight configuration scheme; determining a target power allocation result based on the target planning data and joint life-cycle cost assessment rules; and converting the target power allocation result into control commands to control the hybrid electric locomotive. Through the above technical solution, optimal operation and intelligent decision-making of the locomotive throughout its entire life cycle can be achieved.

The invention discloses a main wiring scheme evaluation method and device based on whole life cycle cost and a medium, and relates to the technical field of data processing, and the method comprises the steps: obtaining the historical investment cost data of a target transformer substation at different operation years, and calculating the reference investment cost according to the operation years and the historical investment cost data; acquiring historical operation cost data of the target substation in different operation years, and fitting an operation cost prediction curve to predict the reference operation cost in the whole life cycle; acquiring historical maintenance cost data of the target substation in different operating years, and fitting a maintenance cost prediction curve to predict the reference maintenance cost in the whole life cycle; according to the reference investment cost and a preset residual value proportion, predicting the reference decommissioning disposal cost of the target substation; calculating the whole life cycle cost; and carrying out quantitative evaluation on the target transformer substation. According to the invention, quantitative analysis can be carried out on the long-term cost of the power equipment and the infrastructure so as to improve the accuracy of cost prediction.

A kind of power grid old equipment technical transformation strategy optimization adjustment method, comprising the following steps: obtaining the historical data and real-time data of old equipment life cycle cost;Establish regionalization classification model to preprocess data;The historical data and real-time data are compared and evaluated, and the difference value range of each data is obtained;Determine evaluation index according to the cost of old equipment and the difference value range;Test old equipment, compare test data with real data of old equipment to obtain differential data, and determine the influence factors of bad working condition through differential data;Set different types of technical transformation strategies by the influence of different working conditions of old equipment through influence factors;Calculate the evaluation index weight of each influence factor of old equipment, and then obtain the evaluation value of the technical transformation strategy of old equipment, and take the technical transformation strategy with the highest evaluation value as the optimal scheme.The design is not only conducive to the optimization adjustment of technical transformation strategy, but also reduces the technical transformation cost.