Schmitz equips intelligent vacuum generators with a variety of energy and condition control functions. The diagnostic functions of the energy monitoring and condition monitoring modules maximize the transparency of the operating conditions and ensure optimal control of energy consumption. The pre-diagnosis maintenance module further improves the performance of the end picker, thereby driving the overall performance of the system.

Energy monitoring module to optimize energy consumption in vacuum systems

1. Grab the energy consumption value of the vacuum generator in real time.

2. Even the energy efficiency optimization of the vacuum system before the start of the operation has begun.

3. Trend analysis: each part, each production cycle, every shift

4, diagnosed abnormal energy consumption

5. The operator can monitor and compare the monitored value of the output on the controller.

Condition monitoring module to improve system availability

1. Continuously monitor process parameters related to system functions, such as vacuum leak, vacuum generator working pressure, switching frequency, etc.

2. When there is a vacuum leak in the system, it will be displayed on the vacuum generator and transmitted to the system controller. If the work pressure drops below the warning value, it will be reported immediately.

3. Through systematic analysis of system conditions, system errors are detected as early as possible to maximize system utilization.

4, a separate circuit or subsystem to quickly and efficiently find the entire circuit system troubleshooting

5, minimize downtime, thereby reducing operating costs

Pre-diagnosis maintenance module to improve gripper system performance

1. Measure the flow resistance and tightness of the gripper system to help the user set the gripper correctly to ensure the vacuum is established with the best speed and reliability.

2, by evaluating the gripper system to quickly optimize system performance.

3, set up to identify and avoid errors.

4, monitor relevant process data, early detection of changes in the system state