Communication Device Sensor Grouping and Storage Timing
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Solution Overview
Problem
Existing communication devices in factories inefficiently use storage area and network bandwidth due to limitations in data acquisition cycles, measurement data size, and storage capacity, leading to unnecessary duplication and unused storage space when classifying devices based solely on communication cycles without considering data priority.
Innovation Solution
A communication device that classifies sensors into groups based on data acquisition cycles and recalculates storage timing and addresses to efficiently manage measurement data storage, reclassifying sensors when network bandwidth thresholds are exceeded, and extends data acquisition cycles based on data priority.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sensors are classified into groups based solely on communication cycles, then devices with different communication cycles can be efficiently managed without delay, but storage area is left unused and network bandwidth is not optimized
Solution Approach 1:
The patent changes the classification parameters from only communication cycles to a combination of communication cycles and data priorities. This allows sensors to be grouped in a way that optimizes both communication timing reliability and storage area utilization efficiency, preventing unused storage space while maintaining proper communication schedules.
Solution Approach 2:
The patent implements dynamic reclassification of sensors when communication band usage exceeds thresholds. The grouping section dynamically adjusts sensor groupings based on current network conditions and data priorities, allowing the system to adaptively optimize storage utilization while maintaining communication reliability under varying load conditions.
2Loss of energy
If data acquisition cycles are extended to reduce communication frequency, then network bandwidth consumption is reduced, but data acquisition responsiveness deteriorates
Solution Approach 1:
The patent applies different data acquisition cycles to different sensor groups based on their specific data priorities and characteristics. High-priority sensors maintain shorter acquisition cycles for responsiveness, while low-priority sensors use longer cycles to reduce bandwidth consumption. This localized differentiation resolves the contradiction between bandwidth efficiency and responsiveness.
3Ease of operation
If the communication device acquires measurement data from all sensors in the same cycle, then storage operations are simplified, but storage area efficiency decreases due to duplicate data
Solution Approach 1:
The patent segments sensors into different groups based on communication cycles and data priorities, with each group having dedicated storage areas. This segmentation prevents duplicate data storage while maintaining organized, manageable storage structures. The memory map generator creates distinct memory regions for different sensor groups, achieving both efficiency and operational simplicity.
Data Source
AI summary
A communication device communicates, in a first cycle, with sensors connected through a network to acquire, from the sensors, measurement data measured by the sensors in data acquisition cycles longer than or equal to the first cycle and store the data in a storage. The communication device includes a grouping section to classify the sensors into groups based on the data acquisition cycles and acquire the measurement data from the classified sensors, and reclassify one of the sensors into a different group when determining that a maximum size of data to be received per first cycle exceeds a threshold for a communication band of the network, and a memory map generator to calculate a timing and an address to store the measurement data based on the data acquisition cycles and the groups resulting from the classification.