Smart Garbage Can Credit Evaluation System
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Solution Overview
Problem
Current garbage disposal methods rely on manual monitoring or spontaneous classification, which is inefficient and often ineffective, as intelligent waste classification equipment is expensive and requires human intervention.
Innovation Solution
A garbage delivery credit investigation management method, device, and system that uses intelligent garbage cans to automatically classify and mark garbage, including bagged and scattered waste, and evaluates the credit of individuals based on correct classification, enabling standardized and effective garbage disposal.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual monitoring or spontaneous classification is used, then human resources are saved, but garbage classification effectiveness is poor
Solution Approach 1:
The intelligent garbage can automatically performs garbage classification, marking, and credit evaluation without requiring manual intervention. The system self-monitors garbage delivery, automatically identifies classification errors, and evaluates user credit scores, eliminating the need for human monitoring while maintaining high classification effectiveness.
Solution Approach 2:
The patent replaces manual mechanical monitoring with an automated intelligent system that uses sensors, processors, and communication modules. The mechanical action of manual inspection is substituted by electronic detection and automated data processing, achieving both high effectiveness and reduced complexity through automation.
2Measurement precision
If expensive intelligent waste classification equipment is used, then classification accuracy is improved, but cost increases and human intervention is still required
Solution Approach 1:
The intelligent garbage can integrates multiple functions including garbage reception, automatic classification, marking, credit evaluation, and communication into a single device. This multi-functionality eliminates the need for separate expensive classification equipment while maintaining high accuracy through integrated automated processing.
Solution Approach 2:
The system performs self-monitoring and self-evaluation without requiring external human intervention. The intelligent garbage can automatically detects garbage type, applies marks, evaluates user credit scores, and communicates results, providing accurate classification while reducing overall system complexity through self-service automation.
3Reliability
If automatic marking and tracking is implemented, then credit evaluation effectiveness is improved, but system complexity increases
Solution Approach 1:
The system implements a feedback loop where garbage delivery information is automatically collected, processed, and used to evaluate user credit scores. The results are fed back to the user and stored for future reference, creating a reliable credit evaluation system that automatically adjusts based on user behavior while managing complexity through structured data processing.
Solution Approach 2:
Manual credit evaluation is replaced with automated electronic processing. The system automatically collects delivery data, processes information through computational algorithms, evaluates credit scores, and communicates results electronically, replacing mechanical manual assessment with automated digital processing that maintains reliability while managing complexity.
Data Source
AI summary
Provided is a method for managing garbage disposal credit reporting. The method comprises: a smart garbage can performing online real-time marking of bagged garbage, photographing scattered garbage after it is disposed of, and a system obtaining information transmitted by the smart garbage can, after each time garbage is disposed of, the smart garbage can saving for a certain period of time the traceable information generated by the disposed garbage; when inspecting the disposed garbage, if a delivery error is discovered, the inspecting client uploading the erroneous marking information on the garbage bag and uploading the erroneous scattered garbage photograph, in order to evaluate the credit of the person who throws garbage into the garbage according to whether the information about the type of garbage disposed is correct.