Waste Management System Roadway Condition Detection
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Solution Overview
Problem
Existing waste management systems rely on manual confirmation of services, which can introduce errors and inefficiently utilize sensors that are only activated during specific tasks, limiting their operational effectiveness.
Innovation Solution
A system that includes a processor and memory to receive sensor data and location data from service vehicles, determining whether the vehicle is stopped or moving, and selectively displaying confirmation of service activities or roadway irregularities based on this data, enabling continuous monitoring and efficient use of sensors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If sensors are only activated during specific service tasks, then operational costs are reduced, but measurement coverage and data collection efficiency deteriorate
Solution Approach 1:
The system dynamically adjusts sensor activation status based on vehicle operational state. Sensors are automatically activated when the vehicle is moving and deactivated when stopped, creating a dynamic monitoring regime that optimizes both energy consumption and data collection coverage.
Solution Approach 2:
The system prepares for potential data collection by maintaining sensors in a ready state during vehicle movement, allowing immediate capture of roadway irregularities without requiring full continuous operation. This preliminary preparation enables efficient on-demand monitoring.
2Device complexity
If manual service confirmation is used, then system complexity is reduced, but service confirmation accuracy and reliability deteriorate
Solution Approach 1:
The system automatically generates service confirmations by analyzing sensor data and vehicle location information without requiring manual operator input. The confirmation process serves itself by utilizing existing operational data to verify service completion, eliminating the need for separate manual confirmation mechanisms.
Solution Approach 2:
The system implements automated feedback loops where sensor data and location information are continuously analyzed to generate service confirmations. This feedback mechanism provides real-time verification of service activities, improving reliability while maintaining system simplicity through automated decision-making algorithms.
3Measurement precision
If sensors are continuously monitored, then measurement precision is improved, but energy consumption and operational costs increase
Solution Approach 1:
The system employs periodic sensor monitoring synchronized with vehicle operational cycles. Sensors are activated during movement phases and deactivated during stationary phases, creating a periodic monitoring pattern that maintains measurement precision for critical periods while improving overall sensor utilization efficiency.
Solution Approach 2:
The system applies partial monitoring by selectively activating sensors based on vehicle state rather than continuous full monitoring. This partial action approach maintains sufficient measurement precision for service confirmation while avoiding the excessive energy consumption of uninterrupted sensor operation.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This solution enhances service confirmation accuracy, reduces operational errors, and optimizes sensor usage by continuously monitoring vehicle activities and roadway conditions, providing real-time feedback and improving operational efficiency.
Implementation Method 1
irregularity in a roadway traveled by the service vehicle corresponding to the sensor data
Data Source
AI summary
A system is disclosed for managing waste services. The system may have a memory with computer-executable instructions stored thereon, and a processor. The processor may be configured to execute the instructions to receive, via a first portal, sensor data and location data associated with a service vehicle; to make a determination based on the location data of whether the service vehicle is stopped or moving; and based on the determination, to selectively show on a second portal, confirmation of a service activity completed by the service vehicle or an irregularity in a roadway traveled by the service vehicle corresponding to the sensor data.