5 results about "Investment evaluation" patented technology

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 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.

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.