Geofenced Sensor Self-Configuration for Faster Industrial Integration
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Solution Overview
Problem
Existing sensor management systems in industrial settings lack efficient methods for self-configuration based on geofencing and context awareness, leading to inefficiencies in integrating new hardware and increased downtime.
Innovation Solution
A method and system that utilize geofencing and context awareness to determine the position and configuration of sensors in industrial objects, segmenting them based on parameters like activity, type, and mobility, and dynamically adjust configurations based on geofence breaches or changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual sensor configuration is used in industrial settings, then integration of new hardware is possible, but it leads to increased downtime and inefficiency
Solution Approach 1:
The sensor system automatically configures itself by detecting its position within geofenced areas and retrieving appropriate configuration parameters from a database, eliminating the need for manual configuration and reducing integration time
Solution Approach 2:
Configuration parameters are pre-stored in a database associated with specific geofenced areas, so when a sensor enters the area, the configuration is already prepared and can be applied immediately without manual intervention
2Ease of operation
If sensors are manually configured for each object, then precise control is achieved, but the system complexity increases
Solution Approach 1:
A single centralized database stores configuration parameters for multiple geofenced areas and sensor types, allowing the system to universally manage diverse sensors through one interface rather than requiring separate configuration systems for each sensor
Solution Approach 2:
The geofencing system acts as an intermediary that automatically matches sensors with their appropriate configuration parameters based on spatial location, eliminating the need for complex manual matching and reducing system complexity
3Extent of automation
If geofencing is implemented for sensor management, then automated configuration is achieved, but measurement and positioning complexity increases
Solution Approach 1:
The system creates virtual copies of physical geofenced areas in a digital database, allowing automated configuration based on digital position matching rather than requiring complex real-time physical measurement and verification systems
Data Source
AI summary
A method for managing self-configuration of sensors based on geofencing and context awareness includes determining a position for each object from a plurality of objects within a location. The method also includes segmenting the plurality of objects based on a plurality of parameters, where each parameter provides context to each object and at least one sensor on each object with respect to the location. In response to determining a plurality of geofence areas for the segmentation of the plurality of objects, the method also includes determining a plurality of sensor configurations for the plurality of objects, wherein each sensor configuration is for the at least one sensor on each object. In response to determining an action is performable based on a first sensor configuration from the plurality of sensor configurations, the method also includes performing the first sensor configuration on a first object from the plurality of objects.