Developing A Case-Based Reasoning Model for Safety Accident Pre-Control and Decision Making in the Construction...

Area of Science:

• Construction Management
• Artificial Intelligence
• Occupational Safety

Background:

• Case-Based Reasoning (CBR) is widely used in construction management for tasks like cost prediction and risk assessment.
• There is a significant gap in research integrating CBR with construction safety management for accident prevention.

Purpose of the Study:

• To propose a novel CBR model for construction safety management.
• To focus on efficient case retrieval and reuse for providing safety solutions to new problems.

Main Methods:

• Defining case problem and solution attributes using hazard states, unsafe behavior, and objective unsafe states.
• Utilizing frame-based knowledge representation for case database construction.
• Employing cloud graph and thesaurus methods for attribute weighting and case similarity calculation (word and sentence level).
• Establishing principles for case revision and retention.

Main Results:

• A CBR model was developed and validated through a real-world case study.
• The model demonstrated applicability and effectiveness in providing safety solutions.
• The proposed model facilitates pre-control and decision-making for construction safety accidents.

Conclusions:

• The developed CBR model offers an efficient approach to construction safety management.
• It aids safety managers in making informed decisions for accident prevention measures.
• The research contributes to the proactive management of construction safety.