Zhang, J and Jiang, S (2025) Construction safety decision-making system based on improved integration of case-based reasoning and rule-based reasoning. Journal of Construction Engineering and Management, 151(9): 04025130, ISSN 0733-9364
Abstract
With the rapid development of the construction industry, safety management at construction sites faces increasingly complex challenges, particularly due to inaccurate decision-making processes that may lead to safety incidents. Existing decision-making systems, although widely used, often have inefficiencies, high costs, and limited adaptability, making them inadequate for complex construction environments. This paper presents a construction safety decision support system integrating case-based reasoning (CBR) and rule-based reasoning (RBR), aiming to enhance the timeliness and scientific accuracy of decisions through intelligent technologies. The proposed system leverages historical case data for experience-based support and standardizes the decision-making process through rule-based reasoning, significantly improving decision response speed and accuracy. It incorporates a transformer-based self-attention mechanism to optimize the CBR retrieval process for more accurate and rapid case matching. The system also enhances the K-nearest neighbors (K-NN) algorithm with convolutional neural networks (CNNs) to dynamically adjust case attribute weights, reflecting decision requirements more precisely. Additionally, a genetic algorithm and reinforcement learning-based model is employed to intelligently revise historical case content and rules to align with target scenarios applicable decision plans. Validation of the proposed system was conducted using historical data, demonstrating significant improvements in decision-making time and accuracy. A case study of a high-rise building construction project showed an increase in safety hazard identification rates from 70% to 83% and a 10% improvement in decision accuracy, confirming the system's effectiveness and potential value in complex construction safety management. This research provides valuable insights and practical solutions for enhancing construction safety management in complex environments.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | case-based reasoning; construction safety; decision making; rule-based reasoning |
| Index terms: | decision-making process, hazard identification, case study, construction industry, reinforcement, effectiveness, face, neural network, construction site, accuracy, reasoning, genetic algorithm, case-based reasoning, decision support, construction safety, safety management, high-rise building, decision-making, integration, construction project, adaptability, validation |
| Subjects: | psychology, user focus, construction type, cognitive psychology, financial risk, production management, algorithms, artificial intelligence, work location, building materials, data collection methods, environmental health, industry analysis, decision analysis, organizational analysis, occupational health and safety management, professional development, performance management |
| Topics: | Quality Management, Health and Safety, Project Management, Risk Management, Sustainability, Digital Applications, Design Practice, Organizational Design, Site Management, Cost Management, Information Management, Construction Materials, Research Practice, Construction Technology |
| Descriptive scope: | 4 PCTE |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here