EV Charging Station Media Selection Using Real-Time State Data
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Solution Overview
Problem
Conventional methods for selecting media content at electric vehicle charging stations fail to consider real-time environmental conditions, leading to suboptimal content display that may not align with the value assigned by content providers based on these conditions.
Innovation Solution
A server system communicates with electric vehicle charging stations to collect data from various sensors and determines the current state, allowing it to select and display media content from providers who have assigned values based on specific conditions, ensuring that content with higher value is prioritized during relevant environmental conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If predefined sets of media items are rotated through or content is selected by highest bid, then content display operation is simplified, but content relevance to real-time environmental conditions deteriorates
Solution Approach 1:
The patent implements dynamic content selection by continuously monitoring real-time environmental conditions (weather, traffic, events) and automatically adjusting content display based on current state, transforming the static predefined rotation system into a dynamic adaptive system that responds to changing conditions
Solution Approach 2:
The system incorporates feedback loops where environmental sensors and data sources continuously provide information about current conditions, which is then processed to determine optimal content selection, creating a closed-loop system that adapts based on real-world feedback rather than operating in isolation
2Device complexity
If demographic data targeting is used, then content selection process is simplified, but content value alignment with environmental conditions deteriorates
Solution Approach 1:
The patent changes the selection parameters from static demographic categories to dynamic environmental parameters (weather conditions, traffic patterns, local events), allowing content value alignment to be determined by real-time contextual factors rather than fixed demographic profiles
3Adaptability or versatility
If real-time environmental condition monitoring is implemented, then content relevance improves, but system complexity increases
Solution Approach 1:
The patent creates a universal content selection system that can handle multiple types of environmental conditions (weather, traffic, events, time of day) through a single integrated platform, allowing the same core infrastructure to serve diverse content selection needs without proportionally increasing complexity
4Ease of operation
If conventional content selection methods are used, then system operation is simpler, but advertising effectiveness deteriorates
Solution Approach 1:
The patent implements preliminary action by pre-configuring content providers to assign values to different environmental conditions in advance, so that when real-time conditions are monitored, the system can immediately match current state with pre-evaluated content values, achieving effectiveness without real-time negotiation complexity
Data Source
AI summary
A server system receives, from a plurality of content providers, including a first content provider and a second content provider, a set of values, each value corresponding to satisfaction of one or more conditions that apply to a state of an electric vehicle charging station (EVCS). The server system receives, from the EVCS, data collected by one or more sensors of the EVCS and determines, using the data, a first state of the EVCS during a first time frame, the first state satisfying a first condition for the first content provider and a second condition for the second content provider. The server system selects, based on values received for the respective conditions that are met by the first state of the EVCS, the first content provider and provides media content associated with the first content provider for display.