Elevator Traffic Detection via Building Population Ratio
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Solution Overview
Problem
Existing elevator control systems fail to reliably detect traffic peaks, leading to inefficient operation during peak times and unnecessary high load states during non-peak times, resulting in energy wastage.
Innovation Solution
A method and device that detect arriving traffic intensity by comparing it to the maximum building population, rather than the elevator's handling capacity, to accurately control elevator operation, using sensors and a controller to determine and update traffic levels, allowing for more efficient energy use.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traffic intensity is compared to maximum handling capacity of elevators, then traffic peaks can be detected, but peaks are not detected when buildings have sufficient handling capacity
Solution Approach 1:
The patent changes the reference parameter from maximum handling capacity to maximum building population. This parameter transformation allows the system to detect traffic peaks reliably regardless of building size or elevator capacity, as the comparison is now based on the actual population that generates traffic rather than the service capacity.
2Reliability
If elevators are operated in high load state during non-peak times, then passenger transport capability is maintained, but energy is wasted
Solution Approach 1:
The patent implements dynamic elevator operation where the load state and speed are continuously adjusted based on real-time traffic level detection. During low traffic periods, elevators operate in low load states with reduced speed; during peak traffic, they switch to high load states with maximum speed, optimizing the balance between service capability and energy consumption.
Solution Approach 2:
The system uses feedback from traffic level detection to automatically adjust elevator operation parameters. The detected traffic level feeds back to the control system, which then modifies elevator speed, standby states, and load capacity accordingly, ensuring energy-efficient operation while maintaining necessary service levels.
3Loss of energy
If elevators are operated in low load state during peak times, then energy is conserved, but passenger transport efficiency decreases
Solution Approach 1:
The system dynamically adjusts elevator operation based on detected traffic levels. During peak traffic periods, elevators automatically transition to high load states with maximum speed and capacity to ensure efficient passenger transport. During non-peak periods, they switch to low load states for energy conservation, optimizing the trade-off between productivity and energy consumption in real-time.
Data Source
AI summary
A method and a control device for controlling an at least one elevator are described, by which an arriving traffic intensity is detected, the traffic intensity being a number of passengers arriving at the at least one elevator during a traffic intensity determination period, a traffic amount value is determined by comparing the traffic intensity to a maximum building population, wherein the maximum building population is a maximum number of people in a building, and the at least one elevator is controlled based on the determined traffic amount value.