Time-Stamped Shaft Monitoring for Distributed Condition Analysis
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Solution Overview
Problem
Existing condition monitoring systems for rotating systems face limitations in scalability and real-time processing due to reliance on centralized controllers and complex wiring for data distribution, which hinders efficient communication and analysis of condition information.
Innovation Solution
A measurement device with a sensor and control unit that time-stamps rotational data from a shaft and distributes it over a network to monitoring devices, allowing for synchronized processing and correlation of data from multiple sensors, thereby simplifying data sharing and reducing the need for complex wiring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a centralized controller is used to collect and process condition information from multiple sensors, then real-time processing capability is improved, but system complexity and communication reliability constraints increase
Solution Approach 1:
The patent divides the centralized processing architecture into distributed processing nodes. Each monitoring device independently processes condition information received from sensors, eliminating the single-point bottleneck of a centralized controller. This segmentation allows parallel processing across multiple devices, maintaining real-time capability while reducing overall system complexity and improving scalability.
Solution Approach 2:
The patent introduces a network communication dimension to the system architecture, transitioning from a hierarchical centralized model to a distributed peer-to-peer model. By adding this communication dimension, condition information can flow directly between sensors, monitoring devices, and external systems without funneling through a single controller, thereby reducing complexity while preserving real-time processing.
2Productivity
If a centralized controller is used for condition monitoring, then real-time processing is improved, but communication reliability constraints and scalability limitations occur
Solution Approach 1:
By segmenting the centralized controller into multiple independent monitoring devices, the patent eliminates the single point of failure inherent in centralized architectures. Each monitoring device can independently receive, process, and transmit condition information, ensuring that communication failures at one node do not compromise the entire system's reliability or real-time processing capability.
Solution Approach 2:
The patent changes the system architecture parameter from centralized to distributed, fundamentally altering how condition information flows through the system. This parameter change enables multiple communication pathways, redundancy, and fault tolerance, thereby improving communication reliability while maintaining real-time processing through parallel operation of multiple monitoring devices.
3Adaptability or versatility
If complex wiring is used to distribute rotational data to multiple monitoring devices, then data distribution capability is improved, but device complexity and scalability are worsened
Solution Approach 1:
The patent replaces the mechanical wiring system with an electronic/network-based communication system. Instead of using complex physical wiring to distribute rotational data to multiple monitoring devices, the system uses digital signals transmitted over a network infrastructure. This substitution dramatically reduces wiring complexity while maintaining or enhancing data distribution capability and enabling easier system expansion.
Solution Approach 2:
The patent implements a universal network communication interface that can distribute condition information to multiple types of devices simultaneously. This universal approach allows the same communication infrastructure to serve various monitoring devices, external systems, and storage units, eliminating the need for dedicated wiring for each device and significantly improving scalability.
4Adaptability or versatility
If more condition detection sensors are added to the system, then monitoring coverage is improved, but system complexity and data processing requirements increase
Solution Approach 1:
The patent segments the data processing function across multiple independent monitoring devices, allowing each device to handle a subset of sensor inputs. This segmentation enables the system to accommodate additional sensors without concentrating all processing requirements in a single complex controller, thereby expanding monitoring coverage while maintaining manageable system complexity through distributed processing.
Solution Approach 2:
By introducing network communication as an additional dimension, the patent enables sensors to be distributed across the system without proportionally increasing central processing complexity. The network dimension allows parallel data collection and independent processing at multiple nodes, enabling scalable expansion of monitoring coverage while keeping individual device complexity low.
Data Source
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AI summary
The present invention relates to a measurement device (100) for a rotating system (108), the measurement device (100) comprising a first sensor (102) arranged in the vicinity of a shaft (106) of the rotating system (108), the first sensor (102) being configured to generate a signal relating to a rotation of the shaft (106), and a control unit (104) connected to the first sensor (102), wherein the control unit (104) is further configured to form a first parameter based on the signal from the first sensor (102), determine a current time reference, form a data package comprising the first parameter and a time stamp relating to the current time reference, and distribute the data package to at least one monitoring device (202) over a network connected (204) to the control unit (104). The present invention relates to a monitoring system (200) comprising the measurement device (100) and a corresponding method for monitoring a condition of a rotating system (108).