Vehicle Sensor Power Allocation for Imminent Event Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current transportation systems lack efficient and decentralized methods for real-time environmental sensing and event detection, leading to potential safety issues and inefficiencies in service authorization and data management.
Innovation Solution
Implementing a system where vehicles are equipped with sensors and processors that detect environmental conditions, determine imminent events, and power relevant sensors to gather data, using blockchain technology for decentralized data management and smart contracts for authorization and service management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all sensors are continuously powered to ensure real-time environmental detection, then detection reliability is improved, but energy consumption increases
Solution Approach 1:
The system performs preliminary detection using a first sensor to identify potential events before they occur. When an imminent event is detected, the system then activates additional second sensors to capture detailed data about the specific event. This two-stage approach ensures reliable detection while avoiding continuous operation of all sensors, thereby reducing energy consumption.
2Measurement precision
If multiple sensors are activated to detect specific events, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The sensor system is segmented into different functional groups: first sensors for preliminary environmental detection and second sensors for specific event detection. The processor selectively activates only the necessary second sensors based on the type of imminent event detected, rather than activating all sensors simultaneously. This segmentation reduces device complexity while maintaining measurement precision for relevant events.
3Speed
If real-time sensor data is collected and processed, then response speed is improved, but computational load increases
Solution Approach 1:
The system applies partial action by processing data from only the necessary sensors based on the detected event type. Instead of continuously processing data from all sensors, the processor selectively analyzes data from second sensors that are relevant to the specific imminent event. This approach maintains fast response speed while reducing unnecessary computational power consumption.
Data Source
AI summary
An example operation includes one or more of detecting, by a transport, an environment via a first sensor, determining, by the transport, an event related to the environment is imminent, powering, by the transport, a second sensor associated with the imminent event, and detecting, by the transport, the event as it is occurring via the second sensor.