6 results about "Cost database" patented technology

To provide a seismic isolation building estimation system that allows for easy and accurate estimation of seismic isolation building designs and construction costs. [Solution] The seismic isolation building estimation system is deployed on a platform 1 and connectable via an electronic device 2. It performs estimations based on basic building parameters 21 input via the electronic device 2 and includes a seismic isolation design database 3, a building cost database 4, and a calculation unit 5. Seismic isolation construction design data 31 is stored in the seismic isolation design database 3, and cost data 41 is stored in the building cost database 4. The calculation unit 5 can receive the basic building parameters 21 input via the electronic device 2, inputs the basic building parameters 21 into the seismic isolation design database 3 and the building cost database 4, performs calculations, and generates a seismic isolation building estimation result 51 having a seismic isolation building design and construction cost corresponding to the basic building parameters 21.

The application provides a metallurgical engineering cost analysis method and device based on material coding, relates to the field of metallurgical engineering, and comprises the following steps: generating a material list by using metallurgical engineering data and the result of searching a material coding library based on material parameters; generating a cost list according to the material list and material cost data searched in a cost database; and performing multivariate analysis on the cost list based on historical costs of metallurgical engineering to obtain a cost analysis result. The application can construct an online workflow system of the whole process by deep integration of the material coding library, reduce the delay of flow transfer, and significantly improve the cost analysis efficiency of metallurgical engineering.

This application discloses a method and system for calculating the development cost of automotive aftermarket technical data deliverables, relating to the field of automotive aftermarket technical data deliverable development cost calculation. The method includes constructing a structured cost database, comprising a cost item database, a cost feature database, and a development cost quota database; receiving development roadmap information associated with the target deliverable; automatically constructing corresponding cost item information and cost item hierarchy relationships in the cost database; automatically recommending cost feature information for each task unit category under the third-level category in the cost feature database; and automatically calculating the development cost of the target deliverable by combining the quota work hour information of the corresponding cost feature combination retrieved from the development cost quota database. This achieves automated and intelligent calculation of development costs, reducing the difficulty and improving the efficiency of cost calculation while also laying the foundation for accurate business quotations.

The application discloses a power transmission and transformation engineering design cost intelligent settlement system and method, relates to the network engineering technical field of power transmission and transformation engineering, and is characterized in that the application constructs a data chassis with a cost sampling module and a cost database module as cores, integrates core processing units such as cost analysis, review and examination, intelligent settlement and change permission management, and based on prospective cost data insight and intelligent matching algorithms, the system can dynamically generate a high-precision estimated engineering cost table and a structured bidding quotation draft. Finally, through the review and examination and intelligent settlement units, the whole-process automation and meticulous management and control from bidding to settlement are realized. This forms a complete empowerment system from 'data perception' to 'intelligent estimation' and then to 'closed-loop control', significantly enhances the predictability and accuracy of engineering cost management, and realizes closed-loop management of project investment risks.

Through information analysis and processing, we aim to better evaluate costs, improve cost control, optimize resource allocation, and enhance the efficiency of cost data processing. We process cost data more efficiently and accurately using computers, present optimized evaluations based on smart predictions and feedback, and provide smarter, data-driven decision-making support for construction costs. [Solution] The decision support system consists of a data digitization module that constructs a digital cost database from construction data according to time and site relationships, a data analysis module that analyzes related data and obtains relational parameters, a data knowledge processing module that uses the relational parameters to construct the results after knowledge data processing in the digital cost database and a knowledge cost database, and a data smartening module that uses the data in the knowledge cost database to construct a model by combining it with actual on-site cost level parameters, etc., performs intelligent cost evaluation, and obtains a score.

The application relates to an engineering cost estimation method, device, equipment and medium, and belongs to the technical field of building engineering cost estimation. The method comprises the following steps: obtaining initial design parameters and BIM data of a project to be estimated; determining component information of the project to be estimated based on the BIM data, intelligently matching the component information with a multi-source cost database, and obtaining real-time cost information of the components; inputting the initial design parameters, the component information and the real-time cost information into an engineering cost estimation model, wherein the engineering cost estimation model comprises a case reasoning model, a machine learning model and a dynamic physical quantity method model, the case reasoning model is used for determining a first construction cost, the machine learning model is used for predicting a second construction cost, and the dynamic physical quantity method model is used for calculating a third construction cost; and the first construction cost, the second construction cost and the third construction cost are dynamically weighted and fused to obtain the construction cost of the project to be estimated, thereby improving the accuracy of engineering cost estimation.