Sensor Provisioning Workflow Using GUI and Georeferenced Map Data
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Solution Overview
Problem
Current methods for provisioning sensors in large and densely populated sensor networks require significant human effort, involving manual processes and interactions with GIS and CAD systems, which are labor-intensive and inefficient.
Innovation Solution
A system comprising processors and memories with program instructions that receive and store initial sensor provisioning instructions from a GUI, generating metadata and print files for sensors, and transmitting deployment locations, reducing manual labor by automating the sensor provisioning process through georeferenced map data and wireless connections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual provisioning methods using GIS and CAD programs are used, then sensor deployment can be achieved, but significant human effort and time are required
Solution Approach 1:
The patent replaces manual mechanical processes (human operators using GIS and CAD programs) with an automated computer-based system that performs sensor provisioning tasks. The system automatically generates sensor deployment locations, creates metadata, and provisions sensors without requiring human intervention in the manual marking and data generation processes.
Solution Approach 2:
The system enables self-service provisioning where the computer automatically performs all provisioning tasks including generating deployment locations, creating metadata, and configuring sensors. The process serves itself by automatically taking input data, processing it through algorithms, and producing provisioned sensors without external human assistance.
2Productivity
If automated provisioning system is implemented, then productivity is significantly improved, but system complexity increases
Solution Approach 1:
The automated provisioning system performs multiple functions within a single integrated platform: it generates sensor deployment locations, creates metadata, provisions sensors, and manages the entire provisioning workflow. This multi-functional approach consolidates what would otherwise require multiple separate tools and manual processes into one unified system.
Solution Approach 2:
The system introduces a computer-based intermediary that acts as a mediator between the provisioning requirements and the sensor deployment. This intermediary automatically processes provisioning requests, generates appropriate configurations, and implements sensor deployment, thereby managing the complexity internally while presenting a simplified interface to users.
3Measurement precision
If manual marking and data generation are performed, then accurate sensor deployment information can be obtained, but labor-intensive processes are required
Solution Approach 1:
The system replaces manual marking operations with automated computer-based algorithms that calculate optimal sensor deployment locations. Instead of human operators manually marking positions on maps, the system uses computational methods to generate precise deployment coordinates automatically.
Solution Approach 2:
The system creates digital copies and representations of sensor deployment information through automated metadata generation. Rather than manual data entry and transcription, the system programmatically generates accurate deployment data structures that can be directly used for sensor provisioning.
Data Source
AI summary
Disclosed herein are methods, systems, and devices for reducing user effort for sensor provisioning. In one embodiment, a system includes one or more processors and one or more memories including program instructions. The program instructions when executed are configured for receiving and storing initial sensor provisioning instructions from a graphical user interface (GUI) and provisioning a first plurality of sensors using the initial sensor provisioning instructions.