20 results about "Cost benefit" patented technology

The present invention discloses a method and system for customizing cost allocation and cost restoration, the method comprising: clarifying the cost benefit principle according to the relationship between responsibility and authority, so as to establish the corresponding relationship between the subjects and build a responsibility accounting management system; customizing the required motivations and configuring the cost allocation factors; capturing the costs and motivations, and forming cost allocation rules according to the business generation logic; establishing business parameter management to configure the attribute parameters; uniformly allocating and batching the rules of the same business plan, and adjusting the proportion of motivations in the allocation rules; recording the costs, and according to the restoration scenario, redistributing them to various departments according to the corresponding proportion of the restoration rules while offsetting the provisions; querying the running results of the allocation rules and the restoration rules, and generating the image data of each motivation. Through the technical solution of the present invention, a flexible combination of allocation factors and allocation models is realized, so that it can help enterprises optimize resource allocation and improve management efficiency.

The invention discloses a cost calculation method and system for an integrated energy service system, and belongs to the field of integrated energy service. According to the method, the comprehensive energy service system is analyzed, physical boundaries and elements of the comprehensive energy service system are determined, and a corresponding cost benefit model is constructed. The elements comprise wind power, photovoltaic and cooling and heating systems on a source load side, a comprehensive energy service management and control platform on a power grid side, electrochemical energy storage on an energy storage side and an electric vehicle V2G. And then the business modes of the comprehensive energy service system are divided into four classes, and the scientific calculation of the overall cost benefit of the comprehensive energy service system is realized by combining the cost benefit models of different elements.

The invention discloses a bridge maintenance dynamic decision-making method and system based on multiple dimensions and maintenance standards, and belongs to the technical field of bridge intelligent maintenance, and the method comprises the steps: collecting static basic data and dynamic basic data of a to-be-maintained bridge, and evaluating and determining key parts / components, key diseases, four-stage maintenance standards and three-dimensional indexes; a maintenance scheme library formed by different maintenance schemes is determined, and a to-be-maintained bridge and a maintenance project demand analysis library of the maintenance project amount are screened and determined; analyzing and generating a cost benefit model; and according to the cost-benefit model, calculating the maintenance cost required by the to-be-maintained bridge corresponding to different maintenance standards in the maintenance project demand analysis library and the maintenance benefit generated by maintenance, determining a maintenance project plan library and making a maintenance plan. The bridge maintenance dynamic decision-making method and system disclosed by the invention are helpful to grasp the development trend of bridge technical conditions, standardize maintenance decision-making behaviors, improve the scientific decision-making level and effectively carry out preventive maintenance.

The present application relates to the technical field of logistics distribution, in particular to a logistics distribution method and system based on the Internet of Things, comprising: calculating the predicted travel time cost of each road section in the road network in multiple future time windows through a space-time prediction model; generating a discrete signing success probability distribution for each order within the multiple time windows using a Bayesian inference model; applying a multi-objective optimization algorithm to obtain a set of Pareto optimal distribution scheme sets; selecting a final distribution route from the Pareto optimal distribution scheme set according to a preset risk preference or cost benefit strategy, and issuing it to the vehicle terminal for execution. The present application can provide decision makers with a scientific basis for selection based on different business strategies, making the final distribution decision more flexible and strategic.

The present invention discloses a method for generating and optimizing a layout plan for productive rooftop renovation, comprising the following steps: Step 1, establishing a 3D model of a block; Step 2, picking up a geometric model of the block and a selected renovation roof; Step 3, simulating the physical environment and screening suitable roofs; Step 4, calculating the average annual output per unit area of ​​each suitable roof when applying different production strategies; Step 5, calculating the cost-benefit coefficient of applying different strategies. k ,Step 6, input the cost-benefit coefficient into the multi-objective optimization module in the selection order, and obtain the optimal configuration scheme of the roof renovation strategy. In the optimal configuration scheme, F max 、E max Cost min Step 7: The multi-dimensional evaluation calculation model generates resource indicators, economic indicators, and environmental indicators for each configuration scheme as decision support for optimizing the configuration scheme. This invention can provide comprehensive, rapid, and accurate decision support for rooftop renovations.

The invention discloses a cost allocation system and method based on a multi-dimensional dynamic allocation rule and related products. The system comprises a data layer, a rule layer and an application layer, the data layer is used for acquiring original data and carrying out data processing on the original data to obtain a standardized cost allocation data set; the rule layer is used for acquiring a standardized cost allocation data set and a service configuration instruction to obtain an executable allocation rule set; wherein the service configuration instruction comprises an apportionment rule parameter set based on a service demand, and the apportionment rule parameter at least comprises an apportionment dimension and an apportionment cause; and the application layer is used for acquiring the standardized allocation data set and the executable allocation rule set to obtain a multi-dimensional cost allocation accounting result. According to the embodiment of the invention, for a specific business scene of an enterprise, the fine management requirements of multiple business lines, multiple hierarchical departments and multiple cost centers can be met, and the cost effectiveness of each responsibility subject can be objectively reflected.

The invention relates to the technical field of electric power systems and electric power markets, in particular to an electric power demand response excitation method and system based on three-layer optimization, and the method comprises the steps: building a three-layer optimization model through cost and income analysis by considering the cost and income of a load aggregator, a user and a power grid company; the model optimizes the income maximization problem of a power grid company, a load aggregator and a user, and ensures that the optimal economic benefit is realized in a demand response process; the method comprises the following steps: firstly, analyzing incentive cost of a load aggregator, response cost of a user and power transmission and distribution cost of a power grid company; secondly, solving a decision problem of a load aggregator and a user by taking benefit maximization of a power grid company as a target; and finally, designing a solution algorithm, proving the uniqueness of the algorithm, and verifying that the model can promote energy conservation and emission reduction and reduce the operation cost of a power grid company while ensuring that a load aggregator obtains reasonable benefits through experiments, thereby providing an efficient solution for a power demand response incentive mechanism.

The invention discloses a cost and benefit evaluation method for a new energy power generation and heat supply project, and the method comprises the following steps: obtaining the cost of the new energy power generation and heat supply project, and calculating the comprehensive cost of the project; configuration parameters, required electricity consumption and subsidy income of the project main body are acquired, and the total income of the project is measured and calculated; carrying out financing scheme design in combination with the comprehensive cost of the project and the total income of the project; a plurality of yield indicators are obtained based on the financing scheme, and the project is evaluated and optimized according to the plurality of yield indicators. According to the method, the configuration parameters, the financing scheme, the cost income and dynamic optimization are organically combined, comprehensive, accurate and iteratively optimized evaluation of the new energy power generation heat supply project is realized, economic benefit maximization is realized, the feasibility of the project scheme and the scientificity of investment decision are remarkably improved, and the investment risk is effectively reduced.

The invention relates to a model parallel strategy searching method and device, computer equipment, a storage medium and a program product. The method comprises the following steps: initializing a cost estimator, a parameter optimizer and a real-time monitor; acquiring an initial parallel strategy by adopting a parameter optimizer; estimating the execution cost of the initial parallel strategy by adopting a cost estimator; according to the execution cost, a parameter optimizer is adopted to automatically search an optimal parallel strategy parameter based on a preset algorithm and modify the parameter of the initial parallel strategy, and a target parallel strategy is generated; issuing the target parallel strategy to a target model for training; a real-time monitor is adopted to monitor the target model, and whether the target parallel strategy is a parallel strategy adapting to the target model and the hardware state or not is determined; and when the target parallel strategy is the parallel strategy adapting to the target model and the hardware state, taking the target parallel strategy as the optimal parallel strategy. By adopting the method, the model parallel strategy which achieves the best balance between the cost benefit and the memory use can be automatically searched.

The invention provides a water turbine part crack operation and maintenance method, and belongs to the technical field of water turbine crack maintenance. The method comprises the following steps: acquiring operation parameters, crack characteristics and far-field stress of a water turbine component, and determining a weight distribution coefficient, a stress intensity factor and the like through stress analysis. According to the method, to-be-evaluated components with weight distribution coefficients, stress intensity factors and the like meeting specific conditions are screened out, processing measures and cost-benefit net present values of the to-be-evaluated components are obtained, risk grade scores of all the measures are determined, a target processing measure with the minimum risk grade score and the cost-benefit net present value exceeding a threshold value is selected, and finally the target processing measure is issued to a user terminal. And a user can maintain the components conveniently. According to the method, the condition of the water turbine component is accurately evaluated by obtaining related parameters and analyzing the bearing force, a scientific basis is provided for decision making, key components are screened according to various parameter standards, the operation and maintenance efficiency is improved, in addition, target processing measures can be determined by comprehensively considering risks and cost benefits, and excessive or insufficient processing is avoided.

The invention discloses a method for formulating a load adjustment strategy and a related device. The method comprises the following steps: determining a first electricity selling income of an electricity selling subject before load adjustment and a second electricity selling income of the electricity selling subject after load adjustment; determining an adjustment direction strategy that the user participates in load adjustment; determining a first adjustment income of the user under the adjustment direction strategy; and determining a load adjustment strategy according to the first electricity selling income, the second electricity selling income, the adjustment direction strategy and the first adjustment income. According to the invention, the adjustment potential of the user can be fully stimulated, and a real-time and effective load allocation strategy is constructed, so that resource optimization configuration and cost benefit improvement are realized.

The invention discloses an intelligent monitoring method and system for a digital workshop production environment, and relates to the field of industrial control, and the main scheme is as follows: comparing different parameters in environmental data with corresponding thresholds in an environmental data threshold set, judging whether to execute a matched control instruction according to a comparison result, and if yes, executing the control instruction; adverse effects on the production process and the product quality due to environmental fluctuation are avoided; whether a matched control instruction is generated or not is judged according to the remote monitoring reliability H and the reliability threshold value, and the problem that the remote monitoring reliability is low is solved; power adjustment is performed on the equipment based on the equipment power adjustment coefficient, so that abrasion and faults of the equipment are reduced, and the performance and service life of the equipment are improved; the threshold value cost benefit and the optimization algorithm cost benefit are calculated and adjusted, the performance optimization method is judged by comparing the threshold value cost benefit and the optimization algorithm cost benefit, and the problem that performance evaluation cannot be carried out in time is solved.

The invention provides an evaluation method for intelligent computing automation, and relates to the technical field of automatic demand analysis, and the method specifically comprises the steps: collecting information through an intelligent dialogue; automatically recommending an automatic tool; confirming by technicians; modifying by a technician; evaluating project implementation cost and income; automatically generating a report; through intelligent information collection, automatic tool recommendation, technician participation and automatic cost income analysis, the time and resource consumption of manual operation are remarkably reduced; through intelligent information processing and tool recommendation, the accuracy of the evaluation process is ensured, and the system calculates and predicts the project implementation cost through a financial model, predicts the actual benefits such as efficiency improvement and cost saving after project implementation, and provides a scientific decision basis for enterprises. And according to an analysis result, generating a feasibility report including project summary, cost and income analysis, risk assessment and other contents.

This invention provides a method for predicting cattle weight and making optimal slaughter decisions using AI, comprising: collecting and processing 3D point cloud data of cattle to obtain a 3D model, and extracting body shape feature vectors; inputting the feature vectors into a deep neural network for mapping to obtain real-time weight data; processing the weight data and applying a neural Pareto algorithm for parameter calibration to obtain weight prediction data; collecting market price data and predicting prices; evaluating economic benefits based on weight prediction, price prediction, and cost data through comparative concept tree search; and finally mapping the evaluation results to a feature space and solving for the optimal slaughter decision scheme through similarity search and dynamic programming algorithms. This invention achieves contactless and accurate estimation of cattle weight, combined with market price prediction and cost-benefit analysis, providing a scientific basis for breeding decisions and significantly improving the economic benefits of breeding.

The invention discloses a hydrogen production system full-life capacity configuration method based on an improved whale optimization algorithm, and the method comprises the steps: firstly constructing a refined full-life cycle economic model, comprehensively covering the dynamic cost income of investment, operation, maintenance, depreciation, subsidy and the like, and guaranteeing that a capacity configuration scheme achieves the economic benefit maximization in a project full cycle; secondly, an improved whale optimization algorithm is designed, the algorithm fuses core strategies such as chaotic initialization, nonlinear convergence factors, adaptive weight and Levy flight, mixed mutation operators and the like, the defect that a traditional whale algorithm is prone to falling into local optimum and premature convergence is effectively overcome, and the global optimization capacity, convergence speed and precision are greatly improved.

The invention discloses an agricultural supply chain cost optimization method and system, and belongs to the technical field of supply chain management. The method comprises the following steps: calculating the total supply chain cost; if the total supply chain cost is greater than a preset supply chain cost threshold, acquiring cost ratio data of each link, demand change trend data of each product, inventory turnover rate data of each product and operation efficiency data of the supply chain, and inputting the data into a preset cost optimization model to obtain at least two cost optimization schemes; and according to a preset cost control digital twin model, simulating the actual execution effect of each cost optimization scheme, taking the cost optimization scheme with the optimal actual execution effect as a target cost optimization scheme, and adjusting the supply chain system according to the target cost optimization scheme. According to the scheme, the overall cost benefit, the operation efficiency of the supply chain and the customer satisfaction are improved. The execution effect of the cost optimization scheme is simulated in real time, and more flexible countermeasures can be provided for the supply chain system.

The invention provides a motor controller aging test method and device, which can accurately simulate an actual failure working condition and dynamically optimize a new strategy of aging duration so as to maximize the interception efficiency of an aging test on potential faults and realize the optimal balance of quality, cost and benefits under the constraint of limited cost. The method comprises the steps of formulating an alternating cycle working condition for an aging test based on a collected fault database of a motor controller; the historical fault database is obtained through fault data fed back by the market end motor controller, and the historical fault data comprises operation condition parameters when a fault occurs; the optimal aging duration is dynamically determined based on the alternating cycle working condition in combination with cost benefit analysis; the cost income analysis is used for evaluating the total cost under different aging durations, and the total cost is the sum of the aging test cost and the market maintenance cost estimated based on the failure probability; and performing a factory aging test on the to-be-tested motor controller according to the alternating cycle working condition and the optimal aging duration.

The application discloses a kind of network attack defense strategy automation cost benefit quantification method and device, the method first receives original alarm information and candidate defense strategy set, determines attack tactic stage by semantic analysis, and defense strategy group is mapped to standardization mitigation measure group;Again, a multi-cost index evaluation system is constructed to mitigation measure group, and the integrated cost probability distribution is aggregated by Gaussian modeling and hierarchical calibration entropy algorithm;For the basic income probability distribution of mitigation measure modeling, the effective income probability distribution is generated by combining the dynamic attack tactic weight calculated by control attenuation logic function, and the final effective income probability distribution is obtained by redundancy penalty;With the lower bound of confidence and the upper bound of cost confidence, the conservative cost benefit ratio is calculated as the quantitative score of defense strategy group.The application realizes the automation quantification of defense strategy cost benefit, to improve the standardization and accuracy of defense decision.

The invention discloses a coal power-new energy collaborative evaluation method and system based on a multi-dimensional index, and the method comprises the steps: obtaining the operation data of a power system, and carrying out the preprocessing of the data; constructing a multi-dimensional evaluation index system comprising a technical index, an economic index and an extrinsic index; performing normalization processing on the evaluation indexes, determining subjective weights, and obtaining comprehensive weights of the indexes through weighted fusion by combining objective weights determined by an entropy weight method; a weighted summation method is adopted to calculate a comprehensive score, and the coal power-new energy collaborative operation effect is graded and evaluated according to a scoring result; according to the method, a three-dimensional evaluation system including a technical index, an economic index and an external index is constructed, comprehensive evaluation is carried out on the coal power and new energy collaborative system from three key dimensions of system operation characteristics, cost benefits and environmental influences, and the problems that an existing evaluation method is single in dimension and incomplete in coverage are solved.