As a key medical institution focusing on children's health, Central China Children's Hospital needs to balance medical service efficiency, children's safety protection, comfort of medical environment, and green operation goals. In 2026, the KNX system, driven by AI automation technology, has achieved in-depth integration with ABB i-bus products, with the hospital-specific intelligent control cabinet as the core carrier, integrating core functions such as predictive maintenance, active ward assistant, and mmWave radar presence sensing. It serves as the intelligent core of the hospital, covering wards, diagnosis and treatment areas, public spaces, and equipment rooms, building a "safe, efficient, comfortable, and sustainable" intelligent medical operation system, and setting a benchmark for AI+KNX control cabinet applications in pediatric medical buildings.

The intelligent control cabinet, as the core hub of the AI-integrated KNX system, integrates ABB i-bus control components, AI processing modules, and signal collection units, undertaking the functions of signal integration, decision-making output, and equipment linkage, and playing an irreplaceable role in the intelligent operation of the pediatric hospital.

Based on the open international standard of KNX, the control cabinet integrates AI algorithms and ABB i-bus hardware components, realizing centralized automatic linkage of lighting, HVAC, medical auxiliary equipment, and ward call systems. It adapts to the dynamic needs of pediatric diagnosis and treatment (such as ward rounds, treatment, and rest), and achieves "human-centric" intelligent adjustment through mmWave radar precise sensing signals received and processed by the control cabinet, as well as AI intelligent decision-making. The control cabinet serves as a "central brain", uniformly receiving and dispatching signals from all areas, ensuring the synchronization and stability of multi-equipment linkage.

Targeting children's active nature and weak self-protection ability, the control cabinet is connected to mmWave radar presence sensing devices installed in various areas, accurately identifying children's activities (including slight movements) without privacy leakage. The control cabinet processes the sensing signals in real time, links anti-climbing, anti-wandering, and environmental safety control equipment, and forms a full-dimensional safety protection network for children in the hospital. Once a dangerous situation is detected, the control cabinet immediately triggers an alarm and links relevant protective equipment to minimize safety risks.

The control cabinet is equipped with professional data collection and AI analysis modules, which are combined with the data collection capability of ABB i-bus equipment to realize centralized monitoring and predictive maintenance of core equipment (HVAC, lighting, and control modules). It collects real-time operating data of various equipment, analyzes potential faults in advance through AI algorithms, avoids sudden equipment downtime affecting medical services, and reduces maintenance costs. The control cabinet also supports centralized display and remote adjustment of equipment status, facilitating the O&M team to carry out daily management.

Taking sustainability as the core, the control cabinet optimizes energy consumption through AI adaptive control and KNX centralized management. It adjusts lighting, air conditioning, and other equipment according to the number of people, natural light, and treatment schedules collected by each sensor, maximizing energy saving while ensuring medical comfort, and helping the hospital achieve green building certification. The control cabinet records and statistically analyzes the energy consumption data of each area, providing data support for energy-saving optimization.

Combined with the characteristics of pediatric medical scenarios, the hospital configures dedicated intelligent control cabinets for different areas, realizing refined management and targeted function output, which not only ensures the safety and comfort of children but also improves the efficiency of medical services and O&M work.

Wards are the core scenario of the hospital. The dedicated control cabinet for wards integrates active ward assistant modules, mmWave radar sensing signal processing units, and ABB i-bus linkage components, creating a safe and comfortable environment for children while reducing the workload of medical staff.

The control cabinet is equipped with an AI-driven active ward assistant module, which automatically adjusts the ward environment according to children's conditions and activity states. For example, when a child is resting, the control cabinet receives the signal from the mmWave radar sensor, links the dimming module to lower the light brightness, adjusts the air conditioning to a constant temperature mode (24-26℃), and turns on the silent mode; when medical staff make rounds, the control cabinet detects the movement of medical staff and automatically increases the light brightness, adjusts the air conditioning to ventilation mode. At the same time, the control cabinet synchronizes the ward environment data with the nurse station, realizing intelligent coordination between medical services and environmental control.

The ward control cabinet is connected to mmWave radar sensors installed in wards, corridors, and windows. The sensors accurately identify whether children are present and avoid misjudgment caused by static objects. When a child approaches a window or dangerous area, the sensor transmits the signal to the control cabinet, which immediately sends an alarm to the nurse station and links the door and window control module to limit opening; when no one is in the ward, the control cabinet automatically switches to energy-saving mode, turning off non-essential equipment to reduce energy consumption. The control cabinet also supports 24-hour real-time monitoring of the ward, ensuring the safety of children at all times.

The ward control cabinet is connected to the hospital's medical system. When a child needs treatment, the medical system sends a signal to the control cabinet, which automatically triggers the "treatment mode"—turns on the treatment area lighting, adjusts the air conditioning to a comfortable temperature, and links the medical equipment power supply to ensure the normal operation of treatment equipment; after treatment, the control cabinet automatically resets to the rest mode and sends a reminder to the nurse station to record the treatment process, realizing the integration of medical services and environmental control.

The control cabinet in the diagnosis and treatment public area is mainly oriented to passenger flow management and environmental comfort adjustment, integrating AI passenger flow analysis modules and multi-scenario linkage components to adapt to the dynamic changes of public areas.

The control cabinet in the diagnosis and treatment hall relies on AI analysis of passenger flow data collected by sensors, adjusts the number of operating air conditioning units and lighting circuits in real time. During peak consultation hours, the control cabinet increases the air volume and lighting brightness to improve the comfort of waiting children and their families; during off-peak hours, it reduces the operating load to save energy. The mmWave radar sensor identifies the waiting state of children, and the control cabinet links the seating area lighting and fresh air system to further improve waiting comfort.

The control cabinet is connected to mmWave radar sensors installed in corridors to realize "people coming and going to light on and off automatically". The control cabinet adjusts the lighting brightness according to the number of people to avoid glare stimulating children's eyes; in stairwells, the control cabinet links the anti-wandering function. When a child stays for a long time, the control cabinet sends an alarm to the security room to prevent loss. At the same time, the control cabinet automatically turns off the lighting and ventilation equipment in unmanned areas to achieve energy saving.

The dedicated control cabinet for the medical imaging area is connected to the imaging equipment. Before imaging, the control cabinet automatically adjusts the room temperature and lighting, and turns off interference equipment to ensure the accuracy of imaging results; after imaging, the control cabinet ventilates the room and disinfects the environment through linkage, ensuring the safety of the next child's examination. The control cabinet also monitors the operating status of imaging auxiliary equipment in real time to avoid equipment failures affecting the examination process.

The control cabinet in the equipment room is the core of the hospital's O&M management, integrating AI data analysis modules, equipment monitoring units, and remote control components, realizing predictive maintenance and centralized management of core equipment.

Through ABB i-bus controllers and sensors connected to the control cabinet, real-time operating data of HVAC, water pumps, and control modules (such as current, temperature, and vibration) are collected. The AI algorithm in the control cabinet analyzes the data trend, predicts potential faults (such as bearing wear of water pumps and attenuation of dimming modules) 7-14 days in advance, and sends maintenance reminders to the O&M team with fault location and handling suggestions, realizing preventive maintenance and reducing equipment failure rates.

The control cabinet builds a central monitoring platform, integrates AI data analysis results and KNX equipment status, and displays the operating parameters, energy consumption data, and fault warnings of each area in real time. The O&M team can remotely adjust equipment parameters and handle minor faults through the control cabinet platform, improving maintenance efficiency; all operation records are encrypted and stored in the control cabinet to ensure the safety of the O&M process.

The AI system in the control cabinet statistically analyzes the energy consumption of each area, identifies high-energy-consumption links, and automatically optimizes the operation strategy. For example, during peak electricity prices, the control cabinet reduces the operating load of non-essential equipment; during off-peak electricity prices, it starts the air conditioning pre-cooling/pre-heating function. Combined with natural light sensing, the control cabinet adjusts the lighting system to achieve comprehensive energy saving and reduce the hospital's operation costs.

With the control cabinet as the core, the mmWave radar sensing technology realizes full-time and all-round monitoring of children, reducing the risk of wandering, falling, and other safety hazards by more than 80%; the active ward assistant module in the control cabinet adjusts the environment in real time according to children's needs, reducing the incidence of discomfort caused by environmental factors, and improving the satisfaction of children and their families by 90%.

The AI-integrated linkage control of the control cabinet reduces the manual adjustment workload of medical staff by 40%, allowing them to focus on diagnosis and treatment services; the predictive maintenance function of the control cabinet reduces equipment failure rates by 35%, avoiding medical service interruptions caused by sudden failures, and shortening maintenance response time by 60%. The centralized management function of the control cabinet also simplifies the O&M process and improves work efficiency.

Through AI adaptive control and KNX centralized management of the control cabinet, the overall energy consumption of the hospital is reduced by 22%-28%, among which the energy consumption of lighting and air conditioning is reduced by 30% and 25% respectively; the energy monitoring and optimization function of the control cabinet helps the hospital establish a green operation system, meeting the requirements of green medical building standards.

The control cabinet based on ABB i-bus KNX system is compatible with the hospital's existing medical system and IoT equipment. It supports later expansion of AI functions (such as intelligent diagnosis and treatment assistance) and equipment addition, without reconstructing the system; the open KNX standard ensures the compatibility of subsequent upgrades of the control cabinet, laying a foundation for the long-term intelligent development of the hospital.

In the Central China Children's Hospital project, the 2026 AI-integrated KNX system, with the hospital-specific intelligent control cabinet as the core carrier and combined with ABB i-bus products, has innovatively solved the core pain points of pediatric hospitals such as safety protection, medical efficiency, comfort, and energy consumption control. Through the control cabinet's integration of predictive maintenance, active ward assistant, and mmWave radar sensing functions, a "safe, efficient, comfortable, and green" intelligent medical environment has been built. The refined configuration of the control cabinet for different areas ensures the stability and reliability of the system, while the AI automation technology realizes the leap from "passive control" to "active service". This project not only improves the operation level of the hospital but also provides a replicable experience for the application of AI+KNX control cabinet technology in the medical field.