Data Collecting Device Scheduling for Wide-Area Networks
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Solution Overview
Problem
Existing data collecting systems struggle to efficiently collect data from equipment devices via wide-area communication networks, failing to satisfy data collection requests and control operations due to limitations in communication characteristics and processing abilities.
Innovation Solution
A data collecting device with an inquiry transmitting unit, reception scheduler, and transmission scheduler that generates schedules based on request information and communication characteristics to optimize data collection, ensuring high-quality and efficient data retrieval while considering communication restrictions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data collection is performed at high frequency via wide-area network, then data collection efficiency is improved, but communication restrictions and processing limitations are violated
Solution Approach 1:
The transmission scheduler performs preliminary actions by pre-calculating optimal transmission schedules based on communication characteristics and request information before actual data collection occurs. This allows the system to plan transmission timing that respects communication restrictions while maximizing data collection efficiency within available bandwidth and processing capabilities.
Solution Approach 2:
The system dynamically adjusts transmission schedules based on real-time communication characteristics and request information. The transmission scheduler modifies transmission timing and frequency adaptively, allowing high-frequency data collection when communication capacity permits while reducing frequency when restrictions are approached, thus maintaining both efficiency and reliability.
2Manufacturing precision
If data collection requests are processed with strict time limits, then data quality is improved, but collection frequency is reduced
Solution Approach 1:
The reception scheduler performs preliminary scheduling of data reception based on time limit specifications and communication characteristics. By pre-planning reception timing within strict time limits, the system ensures data quality requirements are met while optimizing the overall collection frequency through efficient time management and prioritization.
Solution Approach 2:
The system implements periodic data collection cycles that respect time limits while maximizing frequency within constraints. The schedulers create periodic transmission and reception patterns that maintain consistent timing within acceptable limits, allowing regular high-quality data collection without excessive frequency that would violate communication restrictions.
3Speed
If transmission schedules are optimized for speed, then data collection efficiency is improved, but communication band restrictions are exceeded
Solution Approach 1:
The transmission scheduler performs preliminary optimization of transmission schedules by analyzing communication characteristics and request information before execution. This pre-planning allows the system to identify optimal transmission timing and sequencing that maximizes data collection speed while staying within communication band restrictions, avoiding violations through advance scheduling.
Solution Approach 2:
The system dynamically changes transmission parameters such as timing, frequency, and sequencing based on communication band availability and restrictions. By adjusting these parameters adaptively, the system optimizes transmission speed within the allowed communication band, achieving high data collection efficiency without exceeding bandwidth constraints.
4Productivity
If multiple data collection operations are scheduled simultaneously, then productivity is improved, but overlapping and conflicts occur
Solution Approach 1:
The transmission scheduler segments data collection operations into distinct, non-overlapping time slots and sequences. By dividing simultaneous operations into organized segments with defined timing, the system maintains high productivity through parallel data collection while preventing overlaps and coordination conflicts between multiple operations.
Solution Approach 2:
The schedulers perform preliminary coordination and scheduling of multiple data collection operations to eliminate overlaps and conflicts. By pre-planning the timing and sequencing of operations, the system enables simultaneous productivity while ensuring proper coordination, as all operations are scheduled to execute without interference based on communication characteristics and request information.
Data Source
AI summary
There is provided a data collecting device configured to collect data from a plurality of nodes. An inquiry transmitting unit transmits inquiry messages to request transmission of the data to the nodes, respectively. A response receiving unit receives response messages including the data from the nodes, respectively. A reception scheduler generates a reception schedule of the response messages from the nodes based on request information indicating data collection condition from the nodes. A transmission scheduler generates a transmission schedule of the inquiry messages based on the reception schedule and characteristics of communication with the nodes. The inquiry transmitting unit transmits the inquiry messages to the nodes, respectively, based on the transmission schedule.