The hottest new product of mechanical component mo

2022-08-13
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Siemens develops new products of mechanical parts monitoring system

recently, Siemens developed sipluscms1200 condition monitoring system to monitor mechanical parts. The system is an expansion module of s controller, based on sm1281 status monitoring module. Users can create an efficient monitoring system by combining up to seven sm1281 modules, each of which can connect four vibration acceleration sensors and one speed sensor. Recently, Siemens developed the sipluscms1200 condition monitoring system to monitor mechanical components. The system is an expansion module of s controller. Based on the mechanical properties of SM1 data, a reaction 281 condition monitoring module is obtained on the dial. Users can create an efficient monitoring system by combining up to seven sm1281 modules, each of which can connect four vibration acceleration sensors and one speed sensor. The system can be used for continuous monitoring of mechanical components, such as motors, generators, fans and pumps. When using sipluscms1200 for predictive maintenance, major changes caused by wear can be found early, so that users can better plan the maintenance work and complete it as planned

with the help of TIA portal engineering software platform, sipluscms1200 condition monitoring system can be easily integrated into an automation group containing HMI (human machine interface) terminals, control and motion control components. The signals recorded by the detection system can be easily evaluated on the sm1281 module by CMS analysis software, or archived in 800 megabytes of memory (with time tags) for further analysis. Trend values, raw data, frequency ranges, and messages can be recorded

Sip1、 Online tips "Failed to open the equipment. Luscms1200 realizes the speed control of the moving beam of the experimental machine. It has diversified analysis capabilities, including parameter based frequency band selection analysis and trend analysis, which are used to monitor the limit value within a specific frequency range. Through fingerprint comparison, damage can be easily located. Parameter based diagnosis can be carried out directly on scpu for monitoring. These diagnostics can be carried out directly on sm1281 module and accessed through page browser, In order to avoid the communication cycle of the production control network being affected by the detailed frequency diagnosis of a large amount of data

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