13 results about "Investment evaluation" patented technology

The invention discloses a sales resource distribution system based on a dynamic customer portrait, and relates to the technical field of artificial intelligence and big data application, and the system comprises an event modeling module, an abnormity monitoring module, a copy management module, a trial investment evaluation module, an unfreezing control module and an income backflow module. According to the method, a distribution offset map is generated by playing back customer behavior data in historical burst periods, and customer groups and key interaction contacts with easily distorted behaviors are identified as data monitoring references. According to the invention, through dynamic monitoring, label copy management, trial investment feedback evaluation, segmented unfreezing control and a negative pressure backflow mechanism, accurate identification and verification recovery of customer behavior abnormity are realized, the label stability is guaranteed, the sales resource distribution is dynamically optimized, and the response capability and configuration efficiency in an emergent environment are improved.

The invention provides a power distribution network investment strategy optimization method based on development demands and input-output evaluation, and belongs to the technical field of power distribution network investment strategy optimization. In order to solve the technical problems that the existing power distribution network investment decision is difficult to comprehensively consider various factors, accurately evaluate investment benefits and reasonably plan an investment strategy, the investment optimization capability is evaluated by constructing an investment optimization evaluation model of a power distribution network; the method comprises the following steps: determining an index weight, calculating the weight based on actual data input and output of a region, carrying out index weight normalization, and finally determining an evaluation grade; on the basis of performing K-means clustering grid division on the latitude and longitude of a power grid of a single project, an input-output benefit evaluation index system taking economic benefits, social benefits and technical benefits as first-level indexes is constructed, and a multi-element membership model is constructed based on the correlation between investment and the indexes; the method is applied to power distribution network investment evaluation.

The invention relates to a multi-factor dynamic correction investment benefit intelligent evaluation system, in particular to the field of investment evaluation, and aims to capture macroscopic event and project risk index impact in real time and dynamically generate factor impact coefficients through an event-driven factor correction module, so that the response speed and sensitivity of a model to project sudden change are remarkably improved, and the evaluation efficiency is improved. The self-adaptive weight optimization module utilizes a deep reinforcement learning framework to continuously optimize factor weight distribution based on revenue after risk adjustment in a rolling time window so as to realize self-adaptive adjustment of an investment strategy and optimization of a revenue-risk ratio, and the abnormal conduction early warning module constructs a dynamic directed graph and combines a graph neural network technology to realize early warning of the abnormal conduction. According to the method, abnormal factor conduction paths can be perspectively recognized, systematic engineering risks can be effectively warned, a strategy execution module fuses weight optimization results and risk warning signals, rebalance is executed under the condition that investment cost and risk control constraints are strictly met, and finally a project configuration scheme giving consideration to revenue, robustness and real-time performance is generated.

The invention discloses a refrigerating machine room investment and payback period prediction method and system, and belongs to the technical field of refrigerating machine room investment evaluation. The method solves the problem that the prior art depends on static empirical estimation and cannot give consideration to the influence of operating characteristics, energy consumption change and external environment factors of the refrigerating machine room on the investment payoff period, establishes a multi-dimensional mapping data table, associates equipment, operation, environment and market parameters with economic benefits, and introduces a virtual sample generation mechanism, so that the investment payoff period of the refrigerating machine room is optimized. A virtual and reasonably existing scene is extrapolated through a physical rule, so that virtual features and samples are generated, and the coverage range and diversity of a mapping data table are expanded; the influence of key parameters on the investment payback period is analyzed and evaluated through multi-dimensional sensitivity, so that investors can formulate risk response measures in advance under different scenes, the investment strategy is optimized, and the anti-risk capability and the investment return rate of a project are improved.

The application discloses a zero-carbon park area investment evaluation method and device, a storage medium and a computer program product, relates to the technical field of carbon emission management, and the method comprises the following steps: collecting enterprise-side energy data and park-side energy data; establishing an enterprise load curve according to the enterprise-side energy data and calculating the total carbon emission of the enterprise, and establishing a park green electricity curve according to the park-side energy data; calculating the time sequence matching degree of the enterprise load curve and the park green electricity curve; and generating an investment access list based on the time sequence matching degree and the total carbon emission of the enterprise. By calculating the time sequence matching degree of the park side and the enterprise side, the time sequence characteristics of the park green electricity output are used for park investment evaluation, and carbon emission is reduced.

The invention provides a water plant station light storage construction project investment intelligent evaluation method and system, and relates to the technical field of industrial plant station energy management and investment evaluation, the system comprises a hardware layer and a function layer, and the components of the hardware layer adopt an industrial standard communication protocol to realize data interaction and instruction transmission; the hardware layer comprises a sensor network, a monitoring center, a comprehensive management platform, an algorithm server, an equipment regulation and control center and a central database; the monitoring center is in communication connection with the sensor network and is used for carrying out denoising and missing value complementation preprocessing on the acquired data; a plurality of typical daily load curves are accurately extracted from a high-dimensional noisy water affair load time sequence, and hidden and dispersed load clustering modes are effectively recognized; the matching relation between each typical daily load and the corresponding illumination characteristic is microscopically analyzed, and the overall characteristic and the change rule of the annual load are macroscopically integrated, so that the photovoltaic capacity configuration and the energy storage unit type selection can be ensured to be deeply adaptive to the actual energy demand of the water plant station.

The application relates to an engineering project investment evaluation method, system, device, medium and program product, and belongs to the field of software engineering.The method comprises the following steps: obtaining user requirement text of an engineering project; estimating function points of the project according to the text; estimating engineering project story points based on historical development data of a development team of the project and the user requirement text; determining the corresponding relationship between the function points and the story points; determining changed function points according to new requirement text; determining story points of the new requirement text according to the corresponding relationship between the changed function points and the story points; determining the estimated cost of the engineering project based on the story points of the new requirement text and the historical development data of the development team of the engineering project; and performing investment evaluation of the engineering project based on the estimated cost.The application can perform more accurate investment evaluation according to the change of user requirements, the change of function points and the characteristics of the development team, and is suitable for investment evaluation of various development teams in agile development.

We provide the system. [Solution] A means of collecting past event data and accumulating it as a dataset, A generation AI means that analyzes input business plan information and generates business proposals, A means for conducting investment evaluations and generating evaluation results for potential investment entities, A display means for displaying the generated business proposal and evaluation results, An input method that accepts voice or text input, performs analysis, and presents a realistic and feasible strategy, An output means that analyzes information in real time and provides the information in report format on a mobile device, A system that includes this.

The present application relates to a rural highway pavement widening and reinforcement cost prediction analysis method. In order to solve the data structure heterogeneity and dynamic weight adaptation problem among the three targets of cost, quality and safety in engineering investment evaluation, a multi-objective comprehensive prediction method based on feature space decoupling and environment adaptive weight strategy is proposed. Through multi-source data extraction and semantic label recognition, the method constructs three types of feature subspaces of cost, quality and safety, and realizes single target prediction by using independent deep neural network. Combined with the real-time construction stage and environmental state, the weight distribution is dynamically generated to realize the multi-objective collaborative fusion prediction. The actual engineering data feedback is used to optimize the feature structure and weight system, and improve the prediction accuracy and model adaptive ability. The scheme realizes multi-objective isolation reasoning and collaborative aggregation, which can significantly improve the scientificity and decision reliability of the early investment evaluation of rural highway engineering.

The invention discloses a project full-life-cycle investment evaluation method and system based on multi-dimensional cost-benefit analysis, and relates to the technical field of planning project benefit evaluation.According to the project full-life-cycle investment evaluation method and system based on multi-dimensional cost-benefit analysis, multi-dimensional benefit indexes are obtained, comprehensive benefit analysis is carried out, project profit analysis is carried out in combination with operation and maintenance cost, discount rate and project construction cost, and the project benefit evaluation efficiency is improved. Dynamic integration of multi-dimensional benefits and cost after project implementation is realized, and implementation effects of the project in a full life cycle can be truly reflected after external interference factors are eliminated; meanwhile, a traditional static financial evaluation framework is broken through, a dynamic multi-dimensional evaluation system with discount revenue as the core is established, the influence of multi-dimensional benefit indexes such as economic benefits, operation benefits and strategic benefits on project values is considered, the adaptability to different industry projects and scenes is guaranteed, and the method is suitable for popularization and application. And the comprehensive value of the project in the whole life cycle can be accurately evaluated.

Proposed is a method of investment evaluation using an estimated value based on a reference value. The method includes, via computer execution, determining a reference value from either historical values or future reference values of an underlying asset value—the underlying asset value being the price of an underlying asset chosen as a representative investment asset or a related benchmark index from an investment asset set-in accordance with a predetermined rule, and converting the investment asset set's valuation into an estimated value based on a reference value by applying a variability ratio, calculated under the assumption that the underlying asset value at the evaluation time is adjusted to match the determined reference value.

The invention relates to the technical field of municipal drainage project investment assessment, in particular to a municipal drainage project investment assessment system which comprises a multi-source data acquisition module, a multi-source data integration module, a multi-dimensional dynamic assessment and risk assessment module and a cost benefit analysis module. The multi-source data acquisition module comprises a real-time acquisition unit, a weather access unit, a geographic information unit and a BIM cost unit, and the real-time acquisition unit acquires health state data of a pipe network in real time through an Internet of Things monitoring terminal and analyzes a deposition rate and a corrosion rate according to an AI image recognition technology; according to the method, through multi-source data fusion, an intelligent algorithm and a dynamic cost-benefit model, the problems of data islands, poor climate adaptability, risk early warning lag and other pain points in traditional assessment are solved, conversion from passive restoration to active prevention and control is achieved, a scientific decision tool is provided for urban drainage project investment, and complete-cycle scientific management and control from construction to operation and maintenance are achieved.

This invention provides a BIM-based multi-industry engineering investment assessment system. It relates to the field of engineering investment assessment technology. The system includes: acquiring and summarizing daily construction logs filled out by each construction team; associating the construction logs with EBS, WBS, and Qlist data to obtain initial analysis data for engineering investment assessment; constructing a BIM model; determining the value index system and corresponding value index weights of the BIM model based on the initial analysis data; verifying the BIM model; and, after verification, performing corresponding engineering investment assessments based on a subset of the smallest construction units selected by the user; and visually displaying the current construction progress and the construction progress of the user-selected smallest construction units. This system effectively controls engineering investment while meeting the user's needs for engineering investment assessment of a subset of the smallest construction units.