Digital construction cost data evaluation and processing system and media
The digital construction cost data evaluation system addresses the industry's low digitization by employing data processing and smartening modules for intelligent cost assessment, enhancing accuracy and efficiency in construction cost management.
JP2026085863APending Publication Date: 2026-05-25KENLI SURVEYORS CO LTD
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Patent Information
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- KENLI SURVEYORS CO LTD
- Filing Date
- 2025-09-26
- Publication Date
- 2026-05-25
AI Technical Summary
Technical Problem
The construction industry lags in digital transformation due to low digitization and informatization levels, leading to inefficient processing of construction cost data and resource consumption.
Method used
A digital construction cost data evaluation system comprising data digitization, analysis, knowledge processing, and smartening modules, utilizing data quality control, attribute vectors, and real-time updates to perform intelligent cost assessment.
Benefits of technology
Enables accurate, efficient, and reliable cost evaluation with improved decision-making and resource allocation through smart data processing, supporting continuous knowledge accumulation.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure 2026085863000001_ABST
Abstract
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.
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