Adaptive Machine Data Transmission for Abnormality-Driven Timing
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Solution Overview
Problem
Existing data collection systems for machine tools and robots face challenges in transmitting measured data in real-time due to bandwidth and processing speed limitations, leading to delayed detection of urgent events, and often result in either frequent unnecessary data transmission or delayed transmission of critical data.
Innovation Solution
A data collection system that includes a controller with a data acquisition unit, timing control unit, and transmission condition acquisition unit, which acquires and buffers data, and a server with a state determination unit and transmission condition decision unit that dynamically adjusts transmission conditions based on the severity of state abnormality, allowing for timely transmission of critical data while reducing network and controller load.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If data is transmitted at constant intervals to save bandwidth and processing time, then network load is reduced, but transmission delay of urgent events occurs
Solution Approach 1:
The patent applies dynamics by making the transmission condition adaptive rather than fixed. The server dynamically adjusts transmission conditions based on the degree of state abnormality determined from measured data. When abnormality is high, transmission frequency increases; when normal, frequency decreases. This resolves the contradiction by allowing the system to reduce network load during normal operation while ensuring urgent events are transmitted promptly.
Solution Approach 2:
The patent changes the parameter of transmission frequency based on the degree of state abnormality. Instead of using a constant transmission interval, the system adjusts the transmission condition parameter dynamically. The server determines the degree of abnormality and sets appropriate transmission conditions, enabling the system to optimize between network load reduction and timely transmission of critical data.
2Loss of time
If data transmission frequency is increased to detect events promptly, then transmission delay is reduced, but network load and processing time increase
Solution Approach 1:
The system changes the transmission frequency parameter dynamically based on the degree of state abnormality. During normal operation, low transmission frequency reduces network load. When abnormal states are detected, the transmission frequency parameter is increased to ensure prompt detection and transmission of urgent events, thus resolving the contradiction between timely detection and network load.
Solution Approach 2:
The server analyzes received measured data and provides feedback by determining the degree of state abnormality. This feedback mechanism allows the system to adjust transmission conditions based on actual system state. The feedback loop ensures that transmission frequency is optimized according to real-time conditions, reducing unnecessary transmissions while ensuring urgent events are captured.
3Device complexity
If fixed transmission conditions are used, then system complexity is reduced, but adaptability to different operational states deteriorates
Solution Approach 1:
The system incorporates feedback where the server determines the degree of state abnormality based on measured data and uses this information to dynamically adjust transmission conditions. This feedback mechanism provides adaptability to different operational states without requiring complex local decision-making at the controller, maintaining relatively simple system architecture while achieving high adaptability.
Solution Approach 2:
The server acts as an intermediary that receives measured data, determines the degree of state abnormality, and sets appropriate transmission conditions. This intermediary approach centralizes the complexity of adaptive decision-making, allowing the controller to remain relatively simple while the system as a whole achieves high adaptability to different operational states.
Data Source
AI summary
To provide a data collection system, a data collection method, and a controller capable of transmitting measured data with appropriate timing while reducing load on a controller and a network. A controller comprises: a data acquisition unit that acquires measured data about a machine in chronological order; a timing control unit that buffers the measured data and controls timing of transmitting the measured data to a server based on a transmission condition; a data transmission unit, in response to instruction by the timing control unit, the data transmission unit transmitting the measured data to the server having been buffered until the instruction is given; and a transmission condition acquisition unit that receives the transmission condition decided by the server in response to a degree of state abnormality occurring during control determined based on the transmitted measured data.