13 results about "Cost assessment" patented technology

This invention discloses a rapid cost assessment method for engineering changes based on a knowledge graph, comprising: S1, synchronously collecting multi-source heterogeneous data for entity extraction and relation alignment to construct an engineering knowledge graph; S2, inputting change instructions, using a bidirectional graph neural network to identify initial nodes and generate a change impact subgraph; S3, introducing an improved dynamic hierarchical graph attention network with a spatiotemporal decay dependency mechanism, constructing a dynamic decay factor to weight and encode features at each level, and outputting a change feature vector; S4, calling quota standards for cost mapping, performing difference calculation and automated splitting, and outputting a basic cost dataset; S5, combining historical change database similarity matching, and outputting corrected estimated values ​​after deviation calibration and nonlinear correction; S6, encapsulating and generating an assessment report and writing it back to the knowledge graph archive. This invention achieves deep analysis of change propagation paths and refined dynamic cost estimation, improving assessment efficiency and accuracy.

The invention provides an unmanned aerial vehicle routing inspection method and system based on semantic guidance and an asset value cost graph, and the method comprises the steps: reasoning a possible distribution region of a target when the target is not directly observed through analyzing the structure law of semantic information, such as an equipment number, a function partition identifier and the like, in a transformer substation; generating a confidence map to guide the unmanned aerial vehicle to efficiently inspect; constructing a semantic cost graph fusing the static asset value and the dynamic operation risk, and quantifying potential loss of different regions when collision or falling occurs; according to the real-time health state of the unmanned aerial vehicle, semantic guidance is emphasized during normal inspection through a dual-guidance function fusion and switching mechanism, and the unmanned aerial vehicle is automatically switched to asset value cost minimization guidance in an abnormal or emergency state to realize safe disposal; the system adopts a framework of semantic reasoning, cost evaluation and flight control module decoupling, and guidance intelligence and control reliability are ensured. According to the invention, the inspection blindness of the unmanned aerial vehicle is obviously reduced, and the abnormality handling risk is reduced.

This invention belongs to the field of demolition cost assessment technology, specifically disclosing a method for assessing railway route selection and land acquisition costs based on a big data model. The method includes the following steps: constructing a graphical database and a core land acquisition database; acquiring policy-related land acquisition documents and dynamic data for the target area; creating an external database; identifying key factors affecting land acquisition costs; constructing a big data prediction model for land acquisition costs; training the model; and integrating it into a railway route selection design system. When inputting or modifying route plans in the route selection design system, the system calls the big data prediction model for land acquisition costs in real time. Based on the geometric parameters and spatial location of the route, it dynamically calculates and feeds back the corresponding land acquisition cost prediction results, adjusting the route plan until cost control requirements are met. This technical solution achieves dynamic and accurate assessment of land acquisition costs through the deep integration of multi-source heterogeneous databases and a big data prediction model.

This invention relates to the field of vehicle insurance claims management technology, and discloses a method, system, electronic device, and storage medium for constructing a life table for vehicle insurance claims. This invention integrates internal claims data with external industry data to construct a vehicle damage cost model and a personal injury cost model, and collects data and operational trajectories from the entire claims process. It combines cost deviation calculation and multi-dimensional personnel information to construct a claims personnel profile model, applies the evaluation results to personnel management, and iteratively optimizes based on feedback data. Simultaneously, it utilizes cost assessment and personnel profile correction to generate a graded evaluation of the institution's claims capabilities. This solves the problems in traditional vehicle insurance claims such as the lack of a unified quantitative cost standard leading to significant differences in loss estimation, the single dimension of personnel assessment making it difficult to accurately identify high-risk personnel, and the reliance on macro indicators in institutional evaluation failing to pinpoint micro-level shortcomings. It achieves improvements in the quantitative assessment of case cost, accurate identification of personnel risks, and scientific grading of institutional capabilities in vehicle insurance claims life table pricing.

This application provides an automatic cost assessment method, system, medium, and product for petrochemical software projects, relating to the field of artificial intelligence technology. In this method, the cost assessment system utilizes a large language model to perform preliminary function point identification on project documents and retrieves the names of the preliminarily identified function points using a petrochemical industry knowledge base, supplementing it with professional information such as scale and complexity from historical projects. Then, the cost assessment system iteratively corrects the function point information through interaction between the retrieved information and the preliminary function point list. Finally, the cost assessment system determines the complexity level of each function point, calculates the adjusted number of function points based on the project complexity, and then calculates various cost information and generates an assessment report based on the adjusted number of function points and a project parameter library. This method combines the preliminary identification using a large language model with professional information from an industry knowledge base, improving the accuracy of function point identification through iterative correction, thereby enhancing the reliability of cost assessment.

This application relates to the field of advertising placement control technology and discloses an advertising precision placement method based on recommendation algorithms. The present invention constructs a time-segmented placement state quantity around the current placement cycle, and on this basis, combines the state sequence of similar time periods in history to recursively represent subsequent placement opportunities. Then, it incorporates the unit budget immediate revenue index of the current candidate placement action, the subsequent unit budget revenue index, and the current audience reach saturation level into the placement opportunity cost assessment. Finally, under the constraint of the upper limit of the allocable budget for the current time period, it generates an advertising placement strategy. This unifies the previously fragmented conversion ranking, budget advancement, and audience reach control into the same processing chain. It can not only avoid the excessively rapid consumption of the initial budget and the loss of revenue opportunities in the subsequent time period caused by placing ads based solely on the current conversion probability estimate, but also reduce the risk of revenue decline caused by continuing to place ads after the audience reach saturation.

This invention discloses a method and system for international engineering cost analysis and control. The cost analysis and control method includes the following steps: S1, collecting international subcontractor data, material supply chain data, cross-border environmental data, and project engineering data, and standardizing the above data to obtain standardized data; S2, analyzing and evaluating the standardized data to obtain subcontractor cost assessment results, supply chain cost analysis results, and cross-border cost risk analysis results; S3, combining the subcontractor cost assessment results, the supply chain cost analysis results, the cross-border cost risk analysis results, and the standardized data obtained in step S1 with timestamps to package them into a cost control block, and uploading it to the blockchain for notarization. This invention provides a method and system for international engineering cost analysis and control, which achieves accurate control of international engineering costs by collecting and analyzing relevant data.

This application discloses an AI-based experimental verification and evaluation method and related apparatus, relating to the field of computer technology. The method includes: structurally segmenting experimental evaluation documents based on a parent-child segmentation pattern to obtain a two-layer segmented document structure; vectorizing the content of its sub-blocks to generate a vectorized knowledge base; invoking a data extraction agent based on data extraction rules, using an experimental data management software database as the data source, and extracting experimental plan, implementation, and result information from the document using a large language model; vectorizing user evaluation needs based on an experimental verification and evaluation task planning agent, calculating semantic similarity using the vectorized knowledge base, and deriving relevant evaluation algorithm specifications and experimental cost accounting standards; and evaluating the sufficiency, progress, and cost of the experimental verification process based on the specifications and standards using an experimental verification sufficiency, progress, and cost evaluation agent to obtain the experimental verification evaluation results. This application can quickly obtain evaluation results, supporting leadership decision-making.

This invention discloses a BIM-based method and system for cost assessment and management of building construction projects. By acquiring building construction feature data, a multi-scale graph-time series fusion prediction model is established. The spatial relationship channel uses an HGAT hierarchical graph attention network to aggregate spatial features layer by layer, while the temporal evolution channel utilizes a TCN temporal convolutional network to capture the time features of cost accumulation. A cross-modal attention mechanism is used to adjust the weights of spatial and temporal features. The building construction feature data is input into the multi-scale graph-time series fusion prediction model. Based on the predicted project cost, a judgment is made. When the actual project cost exceeds the predicted cost, an attribution mechanism based on SHAP values ​​and counterfactual reasoning is triggered to generate a quantifiable optimization scheme. This replaces traditional manual calculation and experience-based judgment, significantly reducing manpower input and shortening the cost assessment cycle.

This application relates to a method, system, equipment, and medium for assessing adaptation and modification costs. The method identifies objects to be adapted through demand analysis and generates an object set. Based on adaptation point counting rules, the unadjusted scale is quantified, and after adjustment using demand change factors, the adapted scale is obtained. Subsequently, basic workload is calculated using productivity benchmark data, and the non-adapted construction workload is summarized to form the total basic workload. Then, the corrected workload is obtained through dynamic correction using preset adjustment factors. Finally, based on the corrected workload, labor costs, and allocation rules, the system calculates and summarizes various costs to arrive at the total cost. This process realizes a shift from subjective experience-based judgment to standardized assessment driven by rules and data, improving the objectivity, accuracy, and adaptability to project dynamics in cost assessment, and providing a reliable basis for budget control and resource allocation.

This invention discloses a method, system, and device for the collaborative design of wave energy buoys and power output devices. The method involves: inputting a subset of buoy geometric parameters from a set of design variables into a parameterized geometric model to generate a three-dimensional buoy geometry; inputting the three-dimensional buoy geometry and a subset of power output device parameters into a frequency domain hydrodynamic analysis model to calculate an annual power generation assessment value; calculating a cost assessment value based on the buoy geometry; inputting the annual power generation assessment value and the cost assessment value into a comprehensive objective function to calculate a comprehensive evaluation value; and generating a new generation of design variable sets based on the comprehensive evaluation value, iterating until convergence and outputting the optimal design variable set; and resolving the optimal buoy geometric parameter subset and the optimal power output device parameter subset from the optimal design variable set for collaborative design of wave energy buoys and power output devices. Therefore, this invention can efficiently find the globally optimal combination of buoy shape and power output device parameters in a high-dimensional design space.

The application relates to the field of civil aviation technology, and relates to a planned maintenance work cost evaluation method and system for a supplier SB / SIL. The evaluation method comprises the following steps: S1, establishing a basic cost motive identification database; S2, establishing an SB / SIL storage analysis database module; S3, calculating and measuring total cost; and S4, outputting a quantitative analysis suggestion report corresponding to whether an SB / SIL maintenance item is implemented. The evaluation system comprises a basic cost motive identification database module, an SB / SIL storage analysis database module, an algorithm matching accounting module and an evaluation report generation module. The planned maintenance work cost evaluation method and system for the supplier SB / SIL can improve the judgment accuracy of whether maintenance work is implemented by a planning maintenance engineering department of an airline, thereby being favorable to saving maintenance costs of the airline, avoiding safety hazards and improving the reliability and safety of airline operation.

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.