Building Closure Sensor Training for Fault Detection
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Solution Overview
Problem
Existing methods for operating sensor arrangements of building closure elements lack reliable error detection capabilities, necessitating the need for improved monitoring and maintenance processes to prevent impairments and defects.
Innovation Solution
A method involving a training mode to store reference information about the building closure element's status, followed by a monitoring mode where deviations from this information generate error signals, enabling automatic detection of impairments without requiring a service technician, and a network of sensor arrangements correlating maintenance parameters with status information for predictive maintenance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual assessment and monitoring of building closure elements is performed, then operational reliability can be maintained, but labor costs and time consumption increase
Solution Approach 1:
The sensor arrangement performs self-diagnosis by automatically comparing its operational parameters against stored reference values from training mode. The system generates its own error signals when deviations are detected, eliminating the need for continuous manual inspection while maintaining high operational reliability through autonomous monitoring.
Solution Approach 2:
The system continuously monitors operational parameters and provides feedback by comparing current values with reference information stored during training mode. This closed-loop feedback mechanism automatically detects deviations and generates error signals, enabling real-time monitoring without manual intervention and significantly reducing time consumption.
2Reliability
If comprehensive monitoring of building closure elements is implemented, then impairment detection reliability improves, but system complexity increases
Solution Approach 1:
Reference information is stored during a training mode before normal operation begins. This preliminary action creates a baseline for comparison that simplifies subsequent monitoring - the system only needs to compare current readings against pre-stored reference values, rather than implementing complex analysis algorithms, thereby maintaining high detection reliability with minimal system complexity.
3Measurement precision
If frequent manual inspections are performed, then maintenance timing accuracy improves, but productivity is reduced
Solution Approach 1:
The sensor arrangement autonomously monitors its own operational parameters and automatically generates error signals when deviations from reference values are detected. This self-service capability provides precise maintenance timing information without requiring manual inspections, thereby maintaining high measurement precision while eliminating productivity loss associated with frequent manual checks.
Data Source
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AI summary
The invention relates to a method for operating a sensor arrangement (8) of a building locking element (3), wherein the sensor arrangement (8) comprises at least one state variable sensor for acquiring state information of the building locking element (3). It is provided that, after an assembly process of the building locking element (3), a training mode is performed, during which the state information is determined by means of the state variable sensor and stored as reference information. After the reference information has been stored, the system switches from the training mode to a monitoring mode, during which the state information is determined at least once by means of the state variable sensor and compared with the reference information. If the determined state information deviates from the stored reference information, an error signal is generated.The invention further relates to a method for operating a network (11) of sensor arrangements (8) of several building closure elements (3), a sensor arrangement (8) for a building closure element (3) and a building closure element (3).