Edge Device Configuration Using Environmental Data Models
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Configuring and updating hundreds of edge devices in a network, such as city-wide luminaires, is a tedious, resource-intensive task requiring significant time, cost, and expertise, as manual configuration is necessary for each device based on environmental parameters.
Innovation Solution
An edge device configuration system that automatically sets or updates the configuration of edge devices using a data model database and control means, which derive environmental parameters from external databases and edge device data to select appropriate data models and configuration parameters tailored to each device's location and conditions, eliminating the need for manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual configuration is used for each edge device, then configuration accuracy can be ensured, but time consumption and resource requirements increase significantly
Solution Approach 1:
The patent creates data models that represent configuration templates for groups of edge devices. These data models serve as copies or templates that can be replicated and applied to multiple devices simultaneously, eliminating the need to manually configure each device individually while maintaining configuration accuracy through the standardized data model structure.
Solution Approach 2:
The system automatically adjusts configuration parameters based on environmental parameters detected by sensors. The data models contain configurable parameters that are automatically modified according to environmental conditions, allowing accurate configuration adaptation without manual intervention for each device.
2Adaptability or versatility
If manual configuration is used for each edge device, then configuration can be customized, but expertise requirements and costs increase
Solution Approach 1:
The edge devices automatically perform configuration through the data model system. The control means automatically selects appropriate data models based on environmental parameters, and the system self-configures without requiring human expertise. This eliminates the need for specialized knowledge while maintaining adaptability through automated environmental assessment.
Solution Approach 2:
The data model acts as an intermediary between environmental parameters and device configuration. Instead of requiring experts to directly configure each device, the data model mediates this process by translating environmental conditions into appropriate configuration settings automatically.
3Productivity
If automated configuration is implemented, then time and resources are reduced, but adaptability to specific environmental conditions may be compromised
Solution Approach 1:
The system uses sensor data to automatically determine environmental parameters and feeds this information back to the control means. The control means uses this feedback to select appropriate data models and configure devices accordingly. This closed-loop feedback mechanism ensures high adaptability to specific environmental conditions while maintaining automated configuration efficiency.
Solution Approach 2:
The configuration system is dynamic and adapts automatically based on environmental parameters. The data models can be selected and modified dynamically according to real-time sensor data, allowing the system to maintain both automation and environmental adaptability through dynamic decision-making processes.
Data Source
AI summary
An edge device configuration system (100) for setting an initial configuration of edge devices (1) and/or for updating a configuration over time, each edge device (1) comprising sensors (S), being set up according to at least one configuration parameter (CP), and a processing means (P) configured to process the environmental data in accordance with a processing model (PM); comprising a data model database (10) storing data models (DM); and a control means (20) configured to: obtain environmental parameters (EP) for each edge device, derived either from an external edge location database (30) for a location where that edge device is installed, and/or from data received from that edge device, select a data model (DM) from the data model database based on the environmental parameters (EP), and configure each respective edge device (1) in accordance with the selected data model (DM).