Modular Sensor Grid Using Existing Infrastructure for Smart City Deployment
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Solution Overview
Problem
Current smart city technologies face challenges in fully utilizing sensors and data to provide meaningful applications due to limitations in scalable and efficient deployment of sensing and response systems, despite advancements in data collection and processing.
Innovation Solution
A modular system comprising a base station and application modules that can be easily deployed and scaled to provide various functionalities, utilizing existing infrastructure such as streetlights and support structures for wireless communication and data collection, with features like quick installation, customizable functionalities, and integration of AI and machine learning for data evaluation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If traditional sensing systems are deployed in smart cities, then data collection capability is improved, but deployment scalability and efficiency deteriorate
Solution Approach 1:
The sensing system is divided into modular components: base stations with communication functionality and interchangeable application modules with specific sensing capabilities. This segmentation allows individual modules to be deployed independently and combined flexibly, dramatically improving deployment scalability and efficiency while maintaining comprehensive data collection capabilities across multiple domains.
Solution Approach 2:
The base station is designed as a universal platform that can support multiple different application modules through standardized interfaces. A single base station can be configured to perform various sensing functions (traffic monitoring, environmental sensing, security detection) by swapping application modules, enabling one system to provide diverse data collection capabilities without requiring separate deployment infrastructure for each function.
2Adaptability or versatility
If comprehensive sensing coverage is achieved, then functionality breadth is improved, but system complexity increases
Solution Approach 1:
Different sensing functionalities are segmented into separate application modules rather than being integrated into a single complex system. Each module handles a specific sensing domain (traffic, environment, security), allowing the system to achieve comprehensive coverage through simple modular combinations rather than complex monolithic architecture.
Solution Approach 2:
The universal base station platform provides common infrastructure (communication, power, data processing) that supports multiple application modules. This universality reduces overall system complexity by eliminating redundant components across different sensing functions while maintaining broad functionality through module interchangeability.
Data Source
AI summary
A modular approach is provided for sensing and responding to detected activity or an event in a region that can be implemented quickly and easily using existing city infrastructure to establish a grid of sensors and detectors to provide localized or wide area coverage. The approach provides a turnkey solution or smart city in a box that can be adapted to different situations and needs to provide communications functionality and/or a desired or customized functionality for a wide range of different applications.