Elevator Traffic Forecasting via Wireless Data Intermediary
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Solution Overview
Problem
Existing elevator systems in high-traffic buildings face challenges in providing accurate and timely traffic forecasts due to small datasets, non-optimal presentation, and slow updating of results, leading to suboptimal passenger experience.
Innovation Solution
A device and method that establish wireless data connections between a data-processing system and both elevator systems and mobile devices, enabling real-time data exchange and processing to provide up-to-date traffic forecasts, including waiting and travel times, using Bluetooth, WLAN, or mobile communication means.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traffic forecast data is updated in real-time using wireless connections, then the accuracy and timeliness of traffic forecasts improve, but the device complexity and data processing requirements increase
Solution Approach 1:
The patent introduces a dedicated data processing system that acts as an intermediary between the elevator system and mobile devices. This system collects raw traffic data from elevators, processes it through algorithms to generate forecasts, and delivers processed information to users' mobile devices, thereby managing complexity centrally rather than in distributed components
Solution Approach 2:
The system segments the traffic forecast functionality into distinct modular components: data collection from elevators, wireless communication interface, data processing and analysis algorithms, and mobile device interface. This segmentation allows each component to be optimized independently while working together to provide real-time forecasts
2Loss of information
If traffic information is continuously updated and sent to mobile devices, then the usefulness and timeliness of information improves, but the loss of energy through continuous data transmission increases
Solution Approach 1:
The system implements periodic data collection and forecast generation cycles rather than continuous real-time processing. Traffic data is collected at regular intervals, processed to generate updated forecasts, and transmitted to mobile devices periodically, maintaining information freshness while reducing energy consumption compared to continuous operations
Solution Approach 2:
The data transmission frequency and processing intensity are dynamically adjusted based on current traffic conditions and user needs. During peak periods, updates occur more frequently; during off-peak times, the system reduces update frequency to conserve energy while still providing timely information when most needed
Data Source
AI summary
The invention relates to a device providing traffic forecasts for elevator systems, comprising a data-processing system, wherein the device is designed to establish a data connection between the data-processing system and the elevator system, and wherein the device is designed to establish a data connection between the data-processing system and at least one mobile device, and wherein the device is designed to receive data from the elevator system and/or from at least one mobile device, and wherein the device is designed to send processed data to at least one mobile device.The invention further relates to a method providing traffic forecasts.