Central Monitoring for Entrance System Failure Prediction
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Solution Overview
Problem
Existing entrance system installations with automatic door operators face challenges in predicting failures, leading to potential malfunctions and safety hazards, especially in public areas with heavy traffic.
Innovation Solution
A central monitoring arrangement that collects and analyzes data from multiple entrance system installations, creating an electronic fingerprint of each system's intrinsic and extrinsic parameters to detect deviations and generate alerts for potential failures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If regular inspections and maintenance sessions are established frequently, then the risk for malfunctions is lowered, but the cost increases considerably
Solution Approach 1:
The system performs preliminary actions by continuously collecting and analyzing operational data from multiple entrance systems to detect deviations before they cause malfunctions. The computerized functionality repeatedly collects data representing intrinsic operating parameters and extrinsic environmental parameters, creating electronic fingerprints that are analyzed for deviations. This allows maintenance to be scheduled based on actual system condition rather than fixed intervals, preventing malfunctions before they occur while avoiding unnecessary maintenance costs.
Solution Approach 2:
The system implements feedback by continuously monitoring operational parameters and comparing them against expected ranges. The computerized functionality analyzes electronic fingerprints for deviations in intrinsic operating parameters considering extrinsic environmental parameters, and generates alert signals when deviations are detected. This feedback loop enables dynamic adjustment of maintenance schedules based on actual system performance and environmental conditions, optimizing both reliability and cost efficiency.
2Device complexity
If moderate maintenance schemes are used to reduce costs, then the cost penalty is reduced, but the risk for premature failures increases
Solution Approach 1:
The system performs preliminary actions by continuously collecting and analyzing operational data from multiple entrance systems to detect deviations before they cause malfunctions. The computerized functionality repeatedly collects data representing intrinsic operating parameters and extrinsic environmental parameters, creating electronic fingerprints that are analyzed for deviations. This allows maintenance to be scheduled based on actual system condition rather than fixed intervals, preventing malfunctions before they occur while avoiding unnecessary maintenance costs.
Solution Approach 2:
The system implements feedback by continuously monitoring operational parameters and comparing them against expected ranges. The computerized functionality analyzes electronic fingerprints for deviations in intrinsic operating parameters considering extrinsic environmental parameters, and generates alert signals when deviations are detected. This feedback loop enables dynamic adjustment of maintenance schedules based on actual system performance and environmental conditions, optimizing both reliability and cost efficiency.
3Device complexity
If user feedback is relied upon to identify malfunctions, then maintenance costs are reduced, but detection accuracy decreases because not every malfunction is identifiable by human senses
Solution Approach 1:
The system replaces human sensory detection with automated electronic monitoring. The computerized functionality repeatedly collects data representing intrinsic operating parameters (such as motor current, temperature, vibration) and extrinsic environmental parameters using electronic sensors and measurement devices. This substitution enables detection of malfunctions that are not identifiable by human senses, such as subtle electrical parameter deviations or early-stage component degradation, while maintaining cost efficiency through automated remote monitoring.
Solution Approach 2:
The system implements feedback by continuously monitoring operational parameters and comparing them against expected ranges. The computerized functionality analyzes electronic fingerprints for deviations in intrinsic operating parameters considering extrinsic environmental parameters, and generates alert signals when deviations are detected. This feedback loop enables dynamic adjustment of maintenance schedules based on actual system performance and environmental conditions, optimizing both reliability and cost efficiency.
Data Source
AI summary
Assa Abloy Entrance Systems AB has developed a central monitoring arrangement (110) for a plurality of entrance system installations (10; ES1-ESn). Each entrance system installation has one or more movable door members (D1 . . . Dm) and an automatic door operator (30) for causing movements of the one or more movable door members (D1 . . . Dm) between closed and open positions. The central monitoring arrangement comprises computerized failure prediction functionality (112) and a database (114). Data (115-1-115-n) is repeatedly collected individually from the entrance system installations. The collected data represents, for a defined moment in time, a plurality of intrinsic operating parameters of the automatic door operator (30) of an individual entrance system installation as well as extrinsic environmental parameters of the individual entrance system installation. The collected data is stored in the database (114) as an electronic fingerprint of the individual entrance system installation at the defined moment in time. The electronic fingerprints (EFP) as stored in the database (114) are analyzed for deviations in any of the intrinsic operating parameters in consideration of the extrinsic environmental parameters. Upon detection of a deviation for a particular entrance system installation (ES1), an alert signal (126; 136) is generated and submitted to at least one external entity (120; 130).