Unlocking Advanced Automation and Analysis
GI.bench’s Python scripting goes beyond standard GUI-based data management by enabling direct programmatic interaction with measurement data. Through the integration of the GInsData API and the intuitive GInsAPy Python wrapper, engineers can directly access, analyze, and automate data handling within GI.bench, eliminating the need for external software dependencies.
Users can execute custom logic, automate repetitive tasks, and integrate proprietary algorithms directly into their data acquisition workflow. Real-time data streams and historical data can both be processed using custom Python scripts, enabling immediate and actionable insights during test operations.
Comprehensive Real-Time Data Handling
Python scripting provides engineers with first-class access to measurement data:
- Directly read high-speed data streams from controllers and GI.bench buffers.
- Perform real-time data transformations, filtering, and analysis using familiar libraries like NumPy, pandas, and SciPy.
- Implement automated data-driven decisions, safety interlocks, and condition-based test sequences directly in GI.bench.
Seamless Integration with Python Ecosystem
The integrated Python scripting environment includes essential scientific packages pre-installed and configured. Engineers can quickly implement machine learning algorithms, statistical computations, and advanced visualizations within GI.bench, significantly enhancing analytical capabilities.
GI.pythonModules – Extend Functionality with Ease
GI.bench goes beyond custom scripts with GI.pythonModules – a library of pre-built, high-performance functions. These modules streamline common engineering tasks such as backend connectivity, data import/export, analysis, and even advanced machine learning. Users can easily integrate GI.pythonModules into their code or develop custom modules to further expand functionality.
User-Friendly Python Scripting Environment
The GI.bench platform simplifies scripting setup with a built-in Python interpreter, integrated documentation, and a user-friendly code editor, available at Q.core and GI.cloud. Engineers can rapidly prototype, execute, and iterate scripts directly within GI.bench, eliminating complex configuration and speeding up deployment.
Example Use Case: Automated Fatigue Life Analysis
Consider an engineer conducting fatigue testing on a structural component. Traditionally, analyzing data involves manually exporting logs and running external scripts. With GI.bench’s Python integration, the workflow becomes fully automated:
- Automated Test Initialization: A Python script ensures controllers and sensors are configured properly, initiating cyclic loading.
- Real-Time Fatigue Analysis: Continuously applies rainflow counting and calculates damage accumulation directly from strain measurements.
- Adaptive Decision Making: Automatically halts tests at predefined damage thresholds, preventing catastrophic failures.
- Instant Reporting: Generates fatigue life reports immediately after tests conclude, embedding results, damage summaries, and visual plots.
This automation not only saves significant manual effort but also provides continuous real-time monitoring, dramatically enhancing safety, accuracy, and speed in fatigue testing.
Technical Excellence Under the Hood
GI.bench leverages the proven GInsData API, ensuring efficient, high-speed data access. Python scripts communicate directly with GI.bench’s internal data buffers and controllers, minimizing latency and maximizing reliability.
Watch Python Integration in Action
Discover firsthand how Python scripting transforms your measurement capabilities, making complex analyses and workflow automations straightforward and powerful.
Python integration in GI.bench delivers unprecedented flexibility and efficiency. Engineers now have the power to automate tasks, integrate proprietary analytics, and handle complex test scenarios with confidence and ease.
Experience Python Scripting in GI.bench
Ready to streamline your test workflow? Request a demo and experience the transformative power of Python scripting in GI.bench.
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