Hospital Lighting Control via Patient Data and Sensor Feedback
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Solution Overview
Problem
Existing solutions for adjusting lighting in hospital rooms, particularly in intensive care units, are limited in supporting patient wake-up and are often cumbersome, unreliable, and prone to false detections, with environmental monitoring being error-prone and difficult to read from a distance.
Innovation Solution
A method and system that record patient-specific medical information to activate lighting functions, including a wake-up function and day-night simulation, using sensors and control devices to adjust lighting intensity and color based on patient data, promoting wake-up and sleep therapy while monitoring vital signs and notifying medical staff of critical conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If sensors are used to detect the presence of objects or persons to control lighting, then lighting control capability is improved, but false detections occur and reliability deteriorates
Solution Approach 1:
The system uses feedback from multiple sensors (motion sensor, light sensor, temperature sensor) to continuously monitor and adjust lighting conditions. The control unit processes sensor data in real-time and makes feedback-based decisions to activate or deactivate lighting functions, improving reliability by cross-validating sensor inputs and adjusting lighting based on actual patient conditions rather than single sensor readings.
Solution Approach 2:
The lighting system is designed with multi-functionality, integrating wake-up function, day-night simulation, and general illumination control into a single system. This universal approach allows the system to handle various scenarios (patient wake-up, sleep therapy, environmental monitoring) using the same sensor network and control architecture, improving overall reliability through standardized processing.
2Reliability
If environmental monitoring is implemented via monitoring terminals, then monitoring capability is improved, but reading time increases and accessibility deteriorates
Solution Approach 1:
The system replaces manual reading of monitoring terminals with automated optical sensing and wireless communication. The light sensor and motion sensor continuously monitor the environment and transmit data wirelessly to the control unit, which automatically processes and displays critical information. This substitution of manual mechanical reading with automated optical and wireless systems eliminates read-off time while maintaining comprehensive monitoring.
Solution Approach 2:
The monitoring system performs self-service by automatically detecting, processing, and displaying environmental and patient status information without requiring manual intervention. The system autonomously monitors parameters like light levels, motion detection, and temperature, then automatically triggers appropriate lighting responses or alerts, eliminating the need for staff to manually check monitoring terminals.
3Device complexity
If lighting adjustment is based on general presence detection, then system simplicity is improved, but support for specific patient wake-up needs deteriorates
Solution Approach 1:
The lighting system dynamically adjusts its behavior based on real-time sensor data and patient conditions. The control unit processes information from motion sensors, light sensors, and temperature sensors to determine when wake-up function should be activated. The system transitions between different lighting modes (normal illumination, wake-up sequence, day-night simulation) based on dynamic assessment of patient needs, maintaining simplicity while achieving adaptability.
Solution Approach 2:
The system performs preliminary actions by pre-configuring wake-up lighting sequences and day-night simulation parameters based on patient-specific information stored in the control unit. When sensor data indicates a patient is present and conditions are appropriate, the pre-programmed wake-up sequence automatically executes, providing personalized support without requiring complex real-time decision-making or increasing system complexity.
Data Source
AI summary
A method for adjusting a lighting in a hospital room, such as in an intensive care unit. The method comprises recording patient information specific to a medical condition of a patient in the hospital roomy; and activating of a lighting function of at least one lighting device in the hospital room depending on the recorded patient information, whereby the lighting function comprises a wake-up function and a day-night simulation.