Construction Risk Management via Multi-Source Sensor Fusion
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Solution Overview
Problem
Conventional construction management systems fail to accurately evaluate the risk of minor collisions between workers and machines at construction sites, as they do not consider the interaction between the states of both the risk-providing and risk-suffering sides, leading to inaccurate risk assessment and presentation.
Innovation Solution
A construction management system that includes worker and machine measuring devices, personal information registration, and a construction management device to compute and display risk in a map format, taking into account the positions, biometric data, and environmental information of both workers and machines, integrating internal and external risk factors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional systems use only geometrical information (position and velocity) to evaluate risk, then the system complexity is low, but the measurement precision of risk evaluation is insufficient
Solution Approach 1:
The risk evaluation is segmented into multiple dimensions: geometrical risk factors (position, velocity, distance) and state risk factors (worker state, machine state, environmental conditions). Each dimension is evaluated separately by dedicated evaluation units, then integrated to produce comprehensive risk assessment. This segmentation allows accurate multi-factor evaluation while maintaining manageable system complexity through modular architecture.
Solution Approach 2:
The system merges geometrical information from position/velocity sensors with state information from biometric sensors and environmental sensors. The risk evaluation unit combines these different types of data streams to produce a unified risk assessment that considers both spatial relationships and physiological/environmental states, achieving comprehensive accuracy.
2Reliability
If the system considers only one side (worker or machine) state, then the device complexity is reduced, but the reliability of risk evaluation is insufficient for interaction-based accidents
Solution Approach 1:
The system segments risk evaluation into three independent modules: worker state evaluation (monitoring worker position, biometric data), machine state evaluation (monitoring machine position, operational status), and environmental evaluation (monitoring construction site conditions). Each module operates independently with dedicated sensors and processing units, then their results are integrated to assess interaction-based risks reliably.
Solution Approach 2:
The system implements continuous feedback loops where worker state data, machine state data, and environmental data are constantly monitored and fed back to the risk evaluation unit. This real-time feedback mechanism allows the system to dynamically adjust risk assessments based on changing conditions of all three elements, ensuring reliable evaluation of interactive accidents.
Data Source
AI summary
A construction management device computes a risk indicative of a degree of danger with which an accident occurs on the basis of information relating at least to a position of a worker measured by a worker position measuring device and a worker biometrical information measuring device, information relating at least to a position of a hydraulic excavator measured by a machine body position measuring device, a machine body posture measuring device, a machine front implement posture measuring device, and a machine operator biometrical information measuring device, personal information on a worker and an operator registered in a worker information registration device, and information on a construction environment from an environment information registration device, and outputs the computed risk as a coordinate risk associated with coordinates of the construction environment to a risk display device such that the computed risk is displayed in a map format on the risk display device.