Elevator Run Time Parameter Determination via Self-Learning
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Solution Overview
Problem
Elevator systems face challenges in accurately determining run time parameters, leading to under-utilization of transport capacity during modernization, as existing methods rely on manual data and rough default values, resulting in inefficient allocation and complex connections between old and new control systems.
Innovation Solution
An automatic, self-learning method for determining run time parameters by performing measuring runs between selected floor pairs, registering run events, and using these parameters for controlling elevators, which can adapt during normal transport operations, simplifying modernization and improving transport capacity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual determination of run time parameters is used, then implementation is simple, but measurement precision and reliability are insufficient leading to under-utilization of transport capacity
Solution Approach 1:
The system performs self-measurement by automatically executing test runs between floor pairs and collecting run event data without external intervention. The control system autonomously determines run time parameters by processing the collected data, eliminating the need for manual parameter setting and complex external measurement equipment.
Solution Approach 2:
The patent replaces manual mechanical determination methods with automated electronic measurement and calculation. The control system uses software-based algorithms to process run event data and calculate run time parameters, substituting manual procedures and complex physical sensor connections with intelligent data processing.
2Productivity
If rough default values are used for run time parameters, then commissioning is faster, but productivity and transport capacity are reduced due to inefficient call allocation
Solution Approach 1:
The system performs preliminary automated measurements during the commissioning phase by executing test runs between selected floor pairs. This preliminary action collects necessary data to determine accurate run time parameters before normal operation begins, avoiding the need to use rough default values and enabling immediate optimization of transport capacity.
Solution Approach 2:
The control system continuously monitors actual run times and compares them with calculated run time parameters. This feedback mechanism allows the system to automatically adjust and optimize call allocation decisions, improving transport capacity utilization by making allocation decisions based on accurate, real-time data rather than default values.
3Reliability
If complex connections between old and new control systems are made, then sufficient position data is obtained, but device complexity and ease of operation deteriorate
Solution Approach 1:
The patent extracts only the necessary run event data from the existing control system during measuring runs, rather than requiring complex integration of all old control system functions. The new control system independently processes this extracted data to determine run time parameters, simplifying the modernization process while maintaining data accuracy.
Data Source
AI summary
A method for determining the parameters connected to the run times of elevators and for using said parameters in the control of the elevators in an elevator system includes selecting a plurality of floor pairs from a plurality of floors served by the elevators; measuring runs between the selected floor pairs with one or more elevators; registering run events connected to the measured runs; determining, on the basis of the run events, a plurality of run time parameters connected to the run times; and controlling the elevators based on the aforementioned run time parameters when the elevators are in transport operation.