SIGER CNC Cutting Tool Monitoring System V3.12 Version Released
SIGER CNC Cutting Tool Monitoring System V3.12 Version Officially Released
The SIGER product team has upgraded this version for specific scenarios where single piece processing takes a long time and the number of processed parts is small. This version is based on real-time learning and monitoring of current machining data, combined with online learning technology, seamlessly integrating learning and monitoring, accurately monitoring tool abnormal states, and meeting customer needs in different scenarios.
Monitoring schematic diagram
The tool monitoring system is a solution for monitoring and managing tool status in precision machining processes. The system collects data through edge sensors and uses intelligent algorithms to analyze this data, in order to monitor tool status in real time, diagnose tool breakage and blade breakage intelligently, and achieve shutdown control. It truly predicts tool life and helps enterprises handle shutdown and tool replacement more easily in the production process, avoiding equipment damage and product quality loss caused by blade breakage and blade breakage!
3.1 The function of "macro variable tool breakage abnormal monitoring" has been added
By using data acquisition technology to accurately obtain macro variable values, intelligent separation of machining intervals is achieved, effectively distinguishing between acceleration and deceleration and smooth machining intervals. Combined with learning stage samples, threshold intervals are generated to accurately identify tool abnormal states, achieve automatic alarm shutdown, and improve production efficiency;
➤Configure monitoring parameters:
➤Alarm record:
3.2 The function of "threshold knife breakage abnormal monitoring" has been added
Without manual intervention, the system automatically analyzes real-time power data during the machining process, intelligently identifies the acceleration, deceleration, and steady state range of the tool, and sets precise thresholds. Once the tool status exceeds the normal range, the system will quickly identify the abnormality and automatically sound an alarm to stop the machine.
➤Monitoring configuration parameters:
➤Alarm record:
3.3 The function of "zero sample knife breakage abnormal monitoring" has been added
Combining real-time processing sample data, based on differential calculation models and algorithm analysis results, preset the cutting interval, and achieve abnormal monitoring of cutting under zero sample training. Without the need for pre training samples, tool abnormal states can be accurately identified and automatically alerted to shutdown;
➤Sample data:
➤Configure monitoring parameters:
➤Alarm record:
SIGER CNC Cutting Tool Monitoring System (TMS) is a tool condition monitoring software tailored for customers in the precision machining industry to address the difficulties in tool use. By collecting 30 dimensional+data signals such as spindle current (load), combined with self-learning algorithms and years of industry experience data accumulation, it achieves accurate monitoring of tool wear, chipping, and breakage, and automatically alarms and shuts down to avoid batch scrap caused by tools! Effectively increase tool life by over 30%!
Scope of adaptation of SIGER CNC Cutting Tool Monitoring System:
- ■ Applicable machine tool types: machining centers, gantry machines, lathes, turning and milling composite machines, and other machine tool cutting scenarios;
- ■ Applicable processing techniques: multiple types of processes such as large-scale repetitive processing, large-scale nested processing, small-scale processing, and no NC scenarios;
- ■ Applicable machining methods: turning machining | milling machining | drilling | tapping | tooth surface machining | curved surface and other rough and precision machining scenarios (machining quantity not less than 10 threads).
If you are interested in SIGER products, you can contact us by phone or email, or submit your requirements by leaving a message, and we will arrange personnel to contact you as soon as possible.
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