Digital Twin Safety Sensor Configuration for 3D Detection Zones
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Solution Overview
Problem
Configuring time-of-flight (TOF) sensors for accurate monitoring of complex three-dimensional detection zones in industrial safety systems is complex and can lead to inadequate coverage or excessive false alarms due to incorrect placement or configuration, compromising safety and productivity.
Innovation Solution
An industrial safety zone configuration system utilizing a digital twin of the automation system to render a three-dimensional representation, allowing users to define detection zones and add virtual sensor objects with adjustable settings, performing simulation analysis to optimize sensor placement and configuration for accurate detection zone coverage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual configuration of TOF sensors is performed, then flexibility in customization is improved, but configuration complexity and error rate increase
Solution Approach 1:
The patent uses a digital twin (virtual copy) of the industrial automation system to perform sensor configuration simulations before actual deployment. The configuration is first tested in the virtual environment, allowing multiple iterations without affecting the physical system, thus reducing errors while maintaining customization flexibility.
Solution Approach 2:
The system performs preliminary configuration and validation in the digital twin environment before applying settings to the actual TOF sensors. This advance preparation allows complex configurations to be optimized and verified beforehand, reducing on-site configuration complexity and potential errors.
2Measurement precision
If sensor placement is optimized for complete coverage, then detection accuracy is improved, but system complexity and installation difficulty increase
Solution Approach 1:
The patent employs a digital twin to simulate and optimize sensor placement in a virtual environment. The system can test multiple placement configurations to achieve optimal detection coverage without increasing physical installation complexity, as the optimization process occurs in the virtual model before deployment.
Solution Approach 2:
The system automatically adjusts sensor configuration parameters (detection zones, sensitivity levels, monitoring regions) based on simulation results from the digital twin. This automated parameter optimization achieves complete detection coverage while minimizing manual configuration complexity.
3Reliability
If detection zones are precisely configured to match actual safety requirements, then safety reliability is improved, but configuration time and computational resources increase
Solution Approach 1:
The patent performs detection zone configuration and validation in advance using the digital twin, before the actual safety system is deployed. This preliminary action allows complex zone definitions to be finalized beforehand, ensuring safety reliability without extending on-site configuration time.
Solution Approach 2:
The digital twin serves as a virtual testing ground where detection zones can be precisely configured and validated without consuming physical system resources or time. Once validated in the virtual environment, the configuration is transferred to the actual system, achieving high reliability without proportional time investment.
4Reliability
If simulation analysis is performed to optimize sensor configuration, then false alarm reduction is improved, but computational load and processing time increase
Solution Approach 1:
The patent performs simulation analysis in the digital twin environment rather than on the actual safety system. This allows computationally intensive false alarm analysis to be conducted in the virtual copy without imposing ongoing computational load on the physical system, reducing false alarms while minimizing energy consumption of the deployed system.
Data Source
AI summary
An industrial safety zone configuration system leverages a digital twin of an industrial automation system to assist in configuring safety sensors for accurate monitoring of a desired detection zone. The system renders a graphical representation of the automation system based on the digital twin and allows a user to define a desired detection zone to be monitored as a three-dimensional volume within the virtual industrial environment. Users can define the locations and orientations of respective safety sensors as sensor objects that can be added to the graphical representation. Each sensor object has a set of object attributes representing configuration settings available on the corresponding physical sensor. The system can identify sensor configuration settings that will yield an estimated detection zone that closely conforms to the defined detection zone, and generate sensor configuration data based on these settings that can be used to configure the physical safety sensors.