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Siemens PLC System Optimization: Key Technical Solutions to Enhance Industrial Automation Efficiency
Recently, during a technical transformation at an injection molding factory, it was found that many automation devices had issues such as slow response and complicated programs. By optimizing the PLC program structure and using some special function blocks, the efficiency of the equipment improved by over 30%. Today, I will share some practical tips for PLC system optimization.
Program Structure Optimization
Traditional PLC programs often have a linear structure resembling a ledger, leading to long scan cycles and slow responses. It is recommended to adopt the following structure:
- Keep only the core logic in the main program and encapsulate detailed functions into subprograms.
- Use interrupt programs to handle high-priority tasks.
- Package commonly used function blocks into custom function blocks (FB) for reuse.
NETWORK 1 // Main program framework CALL "Initialization Subprogram" CALL "Safety Check Subprogram" CALL "Main Control Process" CALL "Data Logging Subprogram"
Data Block Optimization
Poor memory management can severely affect PLC operating efficiency. Key points include:
- Separate static data and temporary variables
- Store related data together to reduce addressing time.
- Use ARRAY and STRUCT data structures appropriately.
- Avoid frequent read/write operations on DB blocks and cache necessary data in the M area.
Communication Optimization
In an injection molding workshop, the original polling method for reading mold temperature machine data caused communication bottlenecks. The optimization plan includes:
- Use interrupt-triggered communication as needed.
- Merge data packets to reduce communication frequency.
- Use high-speed Ethernet modules instead of RS485
- Implement an automatic retry mechanism for communication failures.
Field Application Case Study
Comparison of an injection molding robot before and after optimization:
Before optimization:
- Single pick-up time: 4.8 seconds
- Frequent alarms causing downtime
- Difficult debugging and maintenance
After optimization:
- Single pick-up time: 3.2 seconds
- Failure rate reduced by 80%
- Parameter modifications are more intuitive
Key improvements include:
- Pre-judgment before actions to reduce waiting time.
- Real-time backup of critical data.
- Redesign of the human-machine interface.
Common Issues and Solutions
- Long scan cycles
- Check if the program structure is reasonable.
- Eliminate redundant judgment statements
- Optimize data access methods.
- Frequent communication disconnections
- Check the network topology.
- Increase communication timeout handling.
- Configure backup channels.
- Programs are difficult to maintain
- Establish a unified naming convention.
- Provide detailed program comments.
- Use a modular program structure.
Debugging Tips
- Use VAT tables for online variable debugging.
- Use TRACE function to record data curves
- Quickly locate fault causes.
- Program backup and version management.
Important notes:
- Do not modify DB block data arbitrarily during operation
- Important parameters need to be set within reasonable ranges.
- System optimization should be gradual to avoid major changes.
Practical suggestions:
- Start with small-scale pilot tests.
- Conduct comparative tests before and after optimization.
- Keep complete technical documentation.
- Regularly check system operating status.
- Develop emergency plans.
Recommended Tools
- STEP 7 Professional V5.6 : Classic programming software.
- TIA Portal V16 : Next-generation integrated development environment.
- NetPro : Network configuration tool.
- SIMIT : Simulation testing platform.
The above is a summary of the main experiences in PLC system optimization. Mastering these techniques can significantly enhance the operational efficiency of automation systems. It is recommended to validate in a testing environment before gradually applying them to the production site.
The next article will detail how to use SCL language to improve PLC programming efficiency, stay tuned.
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