Predictive maintenance
Free data access
In order to implement predictive maintenance in production in a meaningful way, diagnostic data must be recorded and evaluated accordingly. AS-Interface offers all these possibilities and facilitates predictive maintenance in practice.
Predictive maintenance requires free access to diagnostic data. Industrial communication therefore has the role of creating the database that makes smart applications possible in the first place. AS-Interface enables free automation at field level and at the same time data availability for predictive maintenance - ideal prerequisites for IIoT with smart data structures.
If you want to implement predictive maintenance in your machines effectively and over the long term, you need to consider three factors: firstly, the collection, digitization and transmission of data; secondly, the storage, analysis and evaluation of the collected data; and thirdly, the calculation of probabilities of occurrence for certain events. The data chain begins at field level, where AS-Interface collects the data and ensures interaction with the higher-level control system. This forms the basis for a highly integrated and intelligent, data-oriented decision-making chain, as required for predictive maintenance. The key performance indicators in production are created at this point and open up potential for greater efficiency and optimization. AS-Interface provides companies with two things: firstly, the open data connection at the lowest level, allowing both classic analog sensor and actuator data to be wired or intelligent IO-Link sensor technology to be used as required. Secondly, the data worlds can be used for predictive maintenance.
Predictive maintenance in figures
Predictive maintenance is one of the upcoming potentials in mechanical engineering to increase efficiency in production. There are enormous benefits in terms of costs and productivity, which also reduce installation costs. A study conducted by PWC and Mainnovation at the end of 2018 translated successful predictive maintenance into figures and quantified the benefits:
- Reduction of costs by 12 percent
- Improved running time/production time (uptime) of the system by 9 percent
- Reduction of health, environmental and quality risks by 14 percent
- Extends the service life of an ageing system by 20 percent
As mentioned, the path to efficiency with predictive maintenance measures leads via the freely accessible diagnostic data, whereby two types of diagnostics must be considered: process diagnostics on the one hand and system diagnostics on the other. Process diagnostics monitors the machine or system process, i.e. the quality of the work carried out in the system or machine. The machine or system operator receives the corresponding diagnostic information from the sensors implemented in the process, i.e. positions, temperatures and pressures.
The system diagnostics provide information about the condition of the machine, whereby the diagnostic data from the devices is of particular interest. Users draw information from the device diagnostics, such as switching cycles, wear of materials subject to wear and lens opacity. Channel diagnostics, which is part of system diagnostics, is the reference for far-reaching predictive maintenance. It provides data on signal quality and provides information on communication errors and communication quality.
Ensuring duct diagnostics
The new ASi-5 technology from AS-Interface offers exactly this channel diagnosis. This means that the communication channel via which the devices communicate is permanently monitored and errors are logged. Normally, the operator does not notice anything. In the event of isolated faults, the system automatically switches to better communication channels and communication remains guaranteed. In special cases, for example if the earthing of a nearby EMC protective device corrodes and there is an increase in faults, the fault logs can be evaluated. This means that it is possible to react in good time before a system failure occurs, before major damage can occur or the machine comes to a standstill.
ASi-5 technology uses a separate communication channel for device diagnostics, the so-called acyclic services. This provides the devices with a communication channel with which diagnostic data can be forwarded "on event" or regularly scheduled at any time. The cyclical production process, in turn, remains unaffected and can continue to run smoothly.
Real Time Condition Monitoring
All diagnostic data for predictive maintenance can be mapped directly in the host system. Modern systems transfer the data to a cloud so that they are networked and the data can be used optimally. It is important that the diagnostic data is available so that the user is warned in good time. This allows service calls to be planned and spare parts management also benefits from this data. The evaluation of the data for "Real Time Condition Monitoring" is thus ensured at all times. The new ASi-5 technology provides the ideal basis for easily available diagnostic data. Predictive maintenance begins with the linking of these diagnostic elements.










