Digital Engineering Tool for Environmental Surveillance
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Solution Overview
Problem
Current systems for chemical and biological threat detection are costly, time-consuming, and labor-intensive due to the need for physical device placement and validation in various environments, lacking flexibility for integrating new technologies and predicting optimal sensor placement.
Innovation Solution
A digital engineering tool for environmental surveillance that uses a graphical user interface for scenario modeling and analytics, allowing virtual plug-and-play of sensors and contextual data sources into a multilayer analytics platform, facilitating rapid integration and prediction of optimal device placement through computer simulation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If physical devices are placed and validated in various environments for threat detection, then detection reliability is improved, but system cost and implementation time increase
Solution Approach 1:
The patent creates a digital twin (virtual model) of the physical environment and threat detection system. This digital replica allows for virtual validation and testing without requiring physical device deployment in multiple environments, thereby maintaining detection reliability assessment capabilities while dramatically reducing implementation time and costs.
Solution Approach 2:
The system performs preliminary validation and testing in the digital twin environment before physical deployment. By pre-validating device placement, configuration, and performance in the virtual model, the system eliminates the need for time-consuming iterative physical installations and on-site adjustments.
2Reliability
If physical devices are placed and validated in various environments for threat detection, then detection reliability is improved, but system cost increases
Solution Approach 1:
The patent creates a digital twin (virtual model) of the physical environment and threat detection system. This digital replica allows for virtual validation and testing without requiring physical device deployment in multiple environments, thereby maintaining detection reliability assessment capabilities while dramatically reducing implementation time and costs.
3Measurement precision
If sensors and data sources are integrated into the analytics platform, then detection accuracy is improved, but system complexity increases
Solution Approach 1:
The patent creates a digital twin (virtual model) of the physical environment and threat detection system. This digital replica allows for virtual validation and testing without requiring physical device deployment in multiple environments, thereby maintaining detection reliability assessment capabilities while dramatically reducing implementation time and costs.
4Reliability
If new technologies are integrated into the monitoring system, then detection capability is improved, but adaptability requirements increase
Solution Approach 1:
The patent creates a digital twin (virtual model) of the physical environment and threat detection system. This digital replica allows for virtual validation and testing without requiring physical device deployment in multiple environments, thereby maintaining detection reliability assessment capabilities while dramatically reducing implementation time and costs.
Data Source
AI summary
In an approach to environmental surveillance, a system includes one or more computer processors; one or more non-transitory computer readable storage media; and program instructions stored on the one or more non-transitory computer readable storage media for execution by at least one of the one or more computer processors. The program instructions include instructions to create a model of an environment; assign one or more devices to the model; input source data for the model, wherein the input source data is at least one of synthetic data and real data; determine events based on the one or more devices and the input source data; and create one or more outputs based on the events.