Methods for determining garbage sweeping points in smart cities and internet of things systems thereof
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Solution Overview
Problem
The challenge of efficiently determining garbage sweeping points in smart cities to minimize the impact of garbage on pedestrians and maintain a clean living environment is exacerbated by limited human and material resources, as current methods struggle to address garbage accumulation in real-time.
Innovation Solution
An IoT system comprising a user platform, service platform, management platform, sensor network platform, and object platform is employed to monitor road conditions, identify garbage volume, and determine target sweeping points based on garbage accumulation and pedestrian flow, enabling real-time garbage sweeping route planning and execution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional manual garbage sweeping methods are used, then sweeping operations can be performed, but the ability to timely clean roads with high garbage impact on pedestrians deteriorates due to limited human and material resources
Solution Approach 1:
The patent replaces manual mechanical sweeping operations with an automated IoT-based system that uses sensors, image recognition, and automated route planning to identify and clean garbage-affected roads, thereby improving response time and sweeping efficiency
Solution Approach 2:
The system enables self-service by allowing the garbage sweeping system to automatically detect garbage accumulation, determine priority roads based on pedestrian flow, and execute cleaning operations without continuous human intervention, improving both productivity and response time
2Object-affected harmful factors
If all roads are swept continuously, then garbage accumulation is reduced, but resource consumption increases beyond available human and material resources
Solution Approach 1:
The patent applies local quality by directing cleaning resources specifically to roads with high garbage impact on pedestrians, identified through sensor data and image recognition, rather than uniformly sweeping all roads, thereby reducing resource consumption while maintaining effectiveness
Solution Approach 2:
The system performs partial action by selectively cleaning only those roads where garbage accumulation exceeds thresholds and where pedestrian impact is significant, determined through real-time monitoring and analysis, optimizing resource allocation
3Reliability
If real-time garbage monitoring is implemented, then garbage accumulation is detected timely, but system complexity increases due to the need for multiple platforms and sensors
Solution Approach 1:
The patent segments the monitoring system into distinct functional modules including sensor networks for data collection, image recognition systems for garbage identification, and route planning systems for optimization, allowing each component to specialize and improving overall reliability while managing complexity through modular design
Solution Approach 2:
The system achieves universality by creating a multi-functional IoT platform that handles diverse tasks including garbage detection, pedestrian flow analysis, route optimization, and resource coordination within a unified architecture, reducing overall system complexity despite the range of functions
Data Source
AI summary
The present disclosure provides a method for determining a garbage sweeping point in a smart city and an Internet of Things system. The method is implemented by the Internet of Things system. The method includes a user platform, a service platform, a management platform, a sensor network platform, and an object platform. The method is performed through the management platform and includes: obtaining monitoring information on at least one road within a road network area, identifying a target object on the at least one road, the target object including at least garbage to be processed; determining, based on an identification result, information related to the target object, the information related to the target object including at least a garbage volume of the garbage to be processed; and determining at least one target garbage sweeping point based on the information related to the target object.