Purpose Floor Selection System Principles and Advantages
The Destination Dispatch System (DDS) is a hallmark technology of modern elevator group control. Working principle: (1) Passengers select their destination floor on touchscreen terminals in the lobby or on each floor's elevator hall; (2) The system assigns the optimal elevator based on parameters such as each elevator's current load, direction of travel, and estimated arrival time, through a group control algorithm (weighted optimization of shortest waiting time + minimum ride time); (3) The system informs passengers of the assigned elevator number, and passengers proceed to the designated elevator to wait. Compared with traditional up/down button systems, DDS advantages: (1) Reduces the number of elevator stops (because passengers with the same destination floor are assigned to the same elevator), improving operational efficiency by over 30%; (2) Reduces car crowding and improves ride comfort; (3) Increases effective usable building area (eliminating some in-car operation panels in favor of wall-mounted LCD screens); (4) Supports advanced functions such as VIP priority and touchless riding (QR code/facial recognition). Recommended application scenarios: office + hotel complexes, large conference hotels, hotels with more than 300 guest rooms.
Group Control Algorithms and Intelligent Optimization Strategies
Group control algorithms are the core of elevator group control systems. Common algorithms include: (1) Shortest waiting time algorithm: based on each elevator's current operating status (position, direction, speed, registered floors), predicts the time for each elevator to reach the passenger's floor and assigns the elevator with the shortest waiting time; (2) Zoning algorithm: divides the building into several zones (e.g., low zone, mid zone, high zone), with each elevator dedicated to serving a specific zone to reduce average stops; (3) Fuzzy logic algorithm: considers multi-dimensional parameters such as passenger flow density, time factors, and traffic patterns, using a fuzzy inference system for dynamic scheduling; (4) Machine learning-based intelligent algorithm: trains prediction models on historical operating data to forecast passenger flow demand for the next 5-15 min and adjust elevator stopping strategies in advance. A hybrid algorithm (rule-based + machine learning) is recommended to continuously optimize efficiency while ensuring operational stability. Intelligent group control systems can upgrade algorithm models remotely via OTA to continuously improve operational efficiency.
VIP Access Management and Special Function Configuration
VIP access management in hotel elevator systems is an important means of enhancing the high-end guest experience. Function configuration: (1) VIP floor priority service: executive floors (typically located in the top 3-5 floors of the building) are equipped with VIP elevators or VIP dispatch mode; upon recognizing a VIP card, the system automatically assigns the nearest elevator and prioritizes response; (2) Card access elevator management: card readers are installed in guest room floor elevator halls; guests must swipe their room card to select the floor of their room (visitors require guest authorization or registration before riding); (3) Facial recognition touchless access: VIP guests are automatically identified via facial recognition terminals; the system automatically assigns an elevator and illuminates the destination floor; (4) Fire mode: upon fire signal activation, all elevators automatically return to the ground floor and open doors; fire elevators are under dedicated firefighter control; (5) Earthquake mode: upon detection of P-waves by seismic sensors, elevators automatically stop at the nearest floor and open doors to prevent passenger entrapment; (6) Energy-saving mode: automatically reduces the number of operating elevators during off-peak hours (e.g., only 2 elevators operating from 2:00-5:00 AM). VIP access management should be configured in tiers: hotel management can remotely view all elevator statuses and operation logs.
IoT Monitoring and Predictive Maintenance
Elevator IoT monitoring systems are a key technology for achieving full lifecycle management of elevators. System architecture: (1) Perception layer: vibration, temperature, and current sensors installed on key components such as elevator machines, speed governors, door operators, and guide rails (recommended 12-18 sensors per elevator); (2) Acquisition layer: sensor data collected via edge computing gateways (sampling frequency above 100 Hz) for preliminary processing and feature extraction; (3) Platform layer: cloud platform stores historical data, establishes equipment health baseline models, and predicts remaining equipment life and failure probability through machine learning algorithms; (4) Application layer: mobile APP pushes equipment health scores, maintenance reminders, and fault warnings, supporting remote viewing of real-time operating status and historical operating data. Predictive maintenance can reduce unplanned downtime by 80%, reduce maintenance frequency by 30%-50%, and extend equipment life by over 20% compared with traditional scheduled maintenance.