Robot control reconstruction method and system based on plc replacement
By performing time alignment, smoothing, anomaly removal, and standardization on the communication reconstruction feature data of the robot control system, a field link mapping table is generated. Timing consistency assessment and trigger time calibration are then performed, solving the problems of field update rhythm drift and message delay fluctuation in robot control reconstruction. This achieves stable control chain output and efficient control reconstruction process.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SIYUE INTELLIGENCE
- Filing Date
- 2026-02-04
- Publication Date
- 2026-06-05
AI Technical Summary
Existing technologies in robot control reconfiguration suffer from the superposition of field update rhythm drift and message latency fluctuations, which leads to inaccuracies in instruction fragment trigger mapping and action execution chain. Especially in complex working conditions, multi-source asynchronous triggering, and multi-fragment execution scenarios, it is difficult to cope with communication jitter, message retransmission, state backfilling advance/delay, and trigger point disorder, resulting in insufficient stability and fine control capability of the system in high latency and high concurrency scenarios.
By periodically collecting communication reconstruction feature data, performing time alignment, dynamic smoothing, anomaly removal, missing data completion, and standardization, preprocessed communication reconstruction feature data is generated. Based on the preprocessed data, change trigger points and field timing segments are generated, and a field link mapping table is constructed. Timing consistency evaluation processing is performed on instruction segments, and the field link mapping table is updated. Change trigger points of instruction segments and state segments are read, and trigger time calibration processing, trigger interval adjustment processing, and state return correction processing are performed. Based on the latest field link mapping table, a control chain input sequence is constructed, and the reachability of action execution is evaluated to generate an action execution chain to complete the robot control reconstruction.
It enables the calculation of instruction triggering sequence in PLC replacement and retrofit scenarios, reduces instruction interaction timing drift during joint debugging, reduces mapping table instability, improves the reproducibility and controllability of control reconfiguration process, ensures the continuity and stable output of control instruction sequence, shortens downtime window, and improves the consistency of control reconfiguration delivery.
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Abstract
Citation Information
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