The intelligent elevator control system is incompatible with the elevator's original control system, resulting in abnormal functions or frequent system crashes.

The intelligent elevator control system is incompatible with the elevator's original control system, resulting in abnormal functions or frequent system crashes.

The intelligent elevator control system is a core component of smart buildings, enhancing elevator operating efficiency and user experience through IoT, AI, and big data technologies. The application of advanced technologies such as Destination Control System (DCS), facial recognition elevator access, and Predictive Health Maintenance (PHM) can increase elevator transport efficiency by 30% to 40% and reduce waiting time by 20% to 30%. This paper systematically analyzes the technical key points of intelligent elevator control in accordance with GB/T 24476-2017 and GB 50314-2015 standards.

The Destination Control System (DCS) changes the traditional hall call method. After passengers input their destination floor on the touchscreen at the landing door, the algorithm assigns the optimal elevator, grouping passengers with similar destinations into the same car to reduce the number of stops. DCS can increase elevator capacity utilization by 20% to 30% while reducing average waiting time from 45 to 60 seconds to 25 to 40 seconds. During peak hours with dense pedestrian traffic, the energy-saving effect of DCS is particularly significant.

The facial recognition elevator access system uses AI cameras to achieve contactless hall call with recognition accuracy of no less than 99.5% and recognition time of no more than 0.5 seconds. The system supports liveness detection to prevent photo and video attacks. Data storage shall comply with the Personal Information Protection Law; facial feature data shall be encrypted and stored locally without transmission to the cloud. Cameras shall be installed at a height of 1.5 to 1.6 m with a tilt angle of 15 to 20 degrees.

The intelligent elevator dispatch algorithm is based on deep learning for dynamic scheduling, analyzing in real time each elevator's load, position, running direction, and number of waiting passengers. The multi-objective optimization function includes minimizing average waiting time, minimizing average ride time, and minimizing energy consumption. During peak hours, transport efficiency is prioritized; during off-peak hours, energy saving is prioritized. The dynamic switching strategy can reduce overall energy consumption by 15% to 25%.

The Predictive Health Maintenance (PHM) system collects data through vibration sensors, temperature sensors, and current sensors, and uses machine learning models to predict faults with 7 to 14 days advance warning. After implementing PHM, the failure rate can be reduced by 40% to 60% and maintenance costs by 20% to 30%. The system architecture is divided into three layers: perception layer, network layer, and application layer. The perception layer includes various sensors and camera devices.

The interface between the intelligent elevator control system and the fire protection system is critical. In the event of a fire, DCS shall automatically switch to fire mode and all elevators shall automatically return to the ground floor. The system shall retain traditional up/down hall call buttons as emergency backup. Fire elevators shall not participate in DCS assignment and shall maintain independent control. When DCS fails, it shall automatically bypass to conventional operation mode to ensure that basic elevator functions are not affected.

Engineering implementation key points include: the touchscreen shall adopt capacitive touchscreen technology for fast response, with brightness of no less than 1000 nits and viewing angle of no less than 178 degrees. The hall touchscreen shall be installed with its center at 1.2 m above floor level to meet accessibility requirements. Traditional hall call buttons shall be retained beside the landing door on the ground floor of each elevator. When multiple elevators are group-controlled, the DCS assignment logic shall be dynamically adjusted based on real-time passenger flow.

The application of intelligent elevator control systems in hotel scenarios should also consider the personalized needs of VIP customers and regular guests, achieving floor authorization and room card linkage through integration with the hotel PMS system. The system shall support OTA remote upgrade functionality to facilitate subsequent algorithm optimization and feature expansion. Cybersecurity protection of the intelligent elevator control system must not be overlooked; firewalls and intrusion detection systems shall be deployed to prevent external attacks from causing elevator system paralysis. System integration testing shall cover four dimensions: functional testing, performance testing, security testing, and compatibility testing, to ensure stable and reliable operation of the system under various operating conditions.

The return on investment analysis of the intelligent elevator control system shows that although the initial investment is relatively large, the long-term benefits are significant. For new construction projects, the DCS installation cost per elevator is approximately RMB 20,000 to 30,000; for retrofit projects, approximately RMB 30,000 to 50,000. By improving transport efficiency, the number of elevators required can be reduced or elevator addition plans can be deferred. Through energy-saving optimization, annual electricity costs can be reduced by approximately 15% to 25%. Through predictive maintenance, fault-related downtime can be reduced and emergency repair costs lowered. Comprehensive calculation shows a payback period of approximately 1.5 to 2 years. For hotel buildings, the intelligent elevator control system can not only improve guest satisfaction but also optimize the scheduling of room service staff through data analysis. It is recommended that the intelligent elevator control system be included in the technical specifications of elevator procurement during the project planning stage, and that an elevator control solution compatible with or certified for the elevator brand be selected to avoid integration difficulties later. System acceptance shall include a continuous operation stress test of no less than 72 hours, recording all faults and anomalies to ensure high reliability and stability of the system.

The return on investment analysis of the intelligent elevator control system shows that although the initial investment is relatively large, the long-term benefits are significant. For new construction projects, the DCS installation cost per elevator is approximately RMB 20,000 to 30,000; for retrofit projects, approximately RMB 30,000 to 50,000. By improving transport efficiency, the number of elevators required can be reduced or elevator addition plans can be deferred. Through energy-saving optimization, annual electricity costs can be reduced by approximately 15% to 25%. Through predictive maintenance, fault-related downtime can be reduced and emergency repair costs lowered. Comprehensive calculation shows a payback period of approximately 1.5 to 2 years. For hotel buildings, the intelligent elevator control system can not only improve guest satisfaction but also optimize the scheduling of room service staff through data analysis. It is recommended that the intelligent elevator control system be included in the technical specifications of elevator procurement during the project planning stage, and that an elevator control solution compatible with or certified for the elevator brand be selected to avoid integration difficulties later. System acceptance shall include a continuous operation stress test of no less than 72 hours, recording all faults and anomalies to ensure high reliability and stability of the system. Data security protection for intelligent elevator control shall cover three levels: network isolation, identity authentication, and data encryption. The elevator control system shall be deployed in an independent secure network segment, isolated from other hotel network systems via firewalls. Identity authentication for system operators shall adopt two-factor authentication combining passwords and biometrics. Passenger data transmitted by the system shall be protected using the TLS encryption protocol, and locally stored data shall be encrypted using the AES256 encryption algorithm. The annual operation and maintenance cost of the intelligent elevator control system is approximately 15% to 20% of the basic elevator maintenance fee, including system software upgrades, hardware maintenance, and technical support services. It is recommended to sign an integrated service agreement bundled with the elevator maintenance contract to facilitate unified management and clear definition of responsibilities. The system security assessment shall be included in the annual maintenance contract, with penetration testing and security audits conducted by a third-party professional organization.

The sustainable development of intelligent elevator control systems should also consider technology updates and system compatibility. The core of a DCS system lies in its algorithms and communication protocols; with the advancement of artificial intelligence technology, scheduling algorithms can be continuously optimized and upgraded. System developers should provide algorithm upgrade services to ensure that system performance continues to improve alongside technological development. Communication protocols should adopt open standardized protocols such as BACnet or Modbus to facilitate integration with elevator control systems from different brands. Software development for intelligent elevator control systems should adopt a modular architecture, with each functional module developed and upgraded independently to reduce the complexity and cost of system maintenance. The system's user interface should support customized development to meet the needs of different hotel brands and operational requirements. The scalability of the intelligent elevator control system should also be considered, reserving interfaces and space for future new technology applications. The system should support OTA remote upgrades, enabling new functions and services to be pushed online via the network. The sustainable development of intelligent elevator control systems is reflected not only at the technical level but also at the business operations level. The system can provide value-added services to hotels through data analysis, for example, optimizing room service staffing through passenger flow data analysis, and evaluating elevator operating efficiency through waiting time analysis. These value-added services can be translated into economic benefits for hotel operations. The installation and commissioning of intelligent elevator control systems is a key step in the successful application of the system. Before installation, an on-site survey should be conducted to confirm the interface types and communication protocols of the elevator control cabinet, and the necessary technical documentation should be obtained in coordination with the elevator manufacturer. The installation position of the touch screen should take ergonomic factors into account, avoiding direct sunlight and glare that could affect touch operation. Communication cables should be laid using shielded twisted pair or fiber optics to reduce electromagnetic interference. The system's power supply should be equipped with a UPS uninterruptible power supply to ensure the system can continue operating during short power outages. Through standardized and systematic installation and commissioning, the stable and reliable performance of the intelligent elevator control system after being put into operation is ensured.

Fault diagnosis and maintenance of intelligent elevator control systems require professional technical support. Common system faults include unresponsive touch screens, communication interruptions, and algorithm failures. Possible causes of an unresponsive touch screen include power failure, screen damage, or mainboard damage; troubleshooting should first check the power indicator, then check the screen display, and finally check the mainboard status. Possible causes of communication interruption include loose network cables, switch failure, or controller failure; troubleshooting should use the Ping command to test network connectivity and check the communication link segment by segment. Possible causes of algorithm failure include abnormal sensor data, incorrect algorithm parameters, or incompatible software versions; troubleshooting should first check sensor data, then check parameter configuration, and finally check the software version. System maintenance should include both hardware maintenance and software maintenance. Hardware maintenance includes touch screen cleaning and calibration, sensor calibration, and cable inspection. Software maintenance includes system log inspection, data backup, and version updates. Maintenance records for intelligent elevator control systems should detail the time, content, and results of each maintenance activity, providing a reference basis for system performance evaluation and fault troubleshooting. Training and certification of system maintenance personnel are equally important; maintenance personnel should undergo systematic training by the equipment manufacturer and obtain certification qualifications.

Overall, the value of intelligent elevator control systems is reflected not only in improved transport efficiency but also in the capability for data-driven operational optimization. Passenger flow data collected by the system can be used to analyze usage intensity across different time periods and floors, providing data support for adjustments to hotel operational strategies. Integration of the system with the hotel PMS system can enable personalized elevator services, enhancing the stay experience of VIP guests and regular guests. The sustainable development of intelligent elevator control systems depends on continuous technological upgrades and ongoing system optimization. It is recommended that hotels fully consider the supplier's technical strength and product iteration capability when selecting an intelligent elevator control system, and choose brands and solutions that can support long-term cooperation. After the system is put into operation, a regular performance evaluation and optimization mechanism should be established to ensure the system continues to maintain optimal operating status.