Crane Risk Logic Using Lift Cycle and Weather Alerts
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Solution Overview
Problem
Existing crane operations lack effective systems to identify and mitigate potential risks, particularly in mobile and tower cranes, to prevent catastrophic events and protect workers, without requiring complex technical analysis.
Innovation Solution
A crane risk logic (CRL) apparatus that integrates with load moment indicators to monitor lift cycles, location, and weather conditions, providing alerts and notifications to operators through a smart device and server system, ensuring compliance with safety parameters and weather limits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a crane risk logic apparatus is implemented to monitor and analyze crane operations, then safety and reliability are improved, but device complexity increases
Solution Approach 1:
The CRL apparatus integrates multiple functions into a single system: it collects data from LMI sensors, processes risk assessments, communicates with operators, and provides alerts. This multi-functional integration improves reliability without proportionally increasing complexity by combining safety monitoring, data analysis, and communication capabilities in one apparatus.
Solution Approach 2:
The CRL apparatus acts as an intermediary between the LMI system and the operator, translating raw sensor data into risk assessments and actionable alerts. This intermediary layer simplifies the interface between complex sensing systems and human operators, improving safety while managing system complexity through layered architecture.
2Measurement precision
If comprehensive crane data collection and analysis is implemented, then measurement precision and risk identification are improved, but loss of time for data processing increases
Solution Approach 1:
The CRL apparatus continuously collects and pre-processes crane operation data in the background during normal operations, so that when risk assessment is needed, the data is already prepared and analyzed. This preliminary action enables rapid risk evaluation without time loss during critical moments while maintaining high measurement precision through continuous monitoring.
Solution Approach 2:
The system implements continuous feedback loops where crane operation data is constantly monitored, analyzed, and used to update risk assessments in real-time. This feedback mechanism ensures high measurement precision through continuous data refinement while minimizing processing time by using iterative analysis rather than batch processing.
3Reliability
If real-time weather monitoring and alert systems are implemented, then safety against weather hazards is improved, but device complexity and energy consumption increase
Solution Approach 1:
The CRL apparatus implements periodic weather data collection and analysis cycles rather than continuous monitoring, updating risk assessments at intervals based on weather condition changes. This periodic action maintains reliable weather hazard protection while significantly reducing energy consumption compared to continuous real-time monitoring.
Solution Approach 2:
The system adjusts its monitoring parameters dynamically based on weather conditions and crane operation states, intensifying monitoring when hazards are detected and reducing it during safe conditions. This parameter adaptation maintains safety reliability while optimizing energy consumption by matching monitoring intensity to actual risk levels.
Data Source
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AI summary
A crane risk logic apparatus (50) and system (10) and method for use of the same are disclosed. In one embodiment of the crane risk logic apparatus (50), the crane risk logic apparatus (50) is integral with a crane, such as a crawler crane (12) or a tower crane (14), and located in communication with a load moment indicator (38). The crane risk logic apparatus (50) receives crane data from the load moment indicator (38) and determines lift cycle data therefrom. The crane risk logic apparatus (50) determines an area of interest based on locationing data received from a global positioning system (GPS) unit (188) incorporated therewith and receives weather data for this area of interest. The crane risk logic apparatus (50) causes an alert notification at the crane to occur in response to presence of weather issues.