LIFT SYSTEM WITH MOTION SENSOR FOR SAFETY

Abstract

The present invention introduces a lift system designed to optimize lift operations by integrating multi-sensor fusion, predictive maintenance, and adaptive control features. The system employs motion, infrared, ultrasonic, and thermal sensors to detect user presence, ensuring the lift responds only to genuine requests, thereby reducing unnecessary movements. The programming module predicts maintenance needs using real-time data from sensors minimizing downtime, and extending the lifespan of lift components. The system supports voice control for increases accessibility, and incorporates biometric authentication for improved security. Environmental monitoring sensors enables adaptive response to temperature, humidity, and air quality variations, and IoT connectivity allows integration with smart building platforms for coordinated control. Additional features includes energy storage using regenerative drives to optimize lift service during peak demand. The lift system increases energy efficiency, user safety, and operational effectiveness, making it suitable for diverse building environments.

Specification

Description:The present invention introduces a lift system with a motion sensor for safety is designed to optimize the efficiency of lift operations in buildings by responding to lift requests based on the presence of genuine users. The system utilises motion sensor technology to detect the presence of users after a lift button is pressed, ensuring that the lift only responds to valid requests. This approach addresses key problems in traditional lift systems, such as unnecessary energy consumption, increased wait times, operational inefficiencies, and safety concerns.
Working:
Installation: The lift system integrates motion sensors on each floor, strategically positioned in front of the lift. The sensors are connected to the lift control system, enabling communication and intearaction between the sensors and the lift mechanism. These sensors detect the presence of a person when the lift button is pressed, verifying if the request is genuine before the lift is activated.
Button Press Detection: When a user presses the lift button located outside the lift, the system is immediately activated. The lift control system receives the button press signal and prepares to respond, and only proceed with the further action based on the sensor input.
Motion Sensor Activation: Once the button is pressed, the motion sensor scans the area in front of the lift to detect the presence of a person. This process ensures that the system distinguishes between genuine lift requests and accidental or mischievous button presses.
Verification period: The system allows a brief verification period of about 2 seconds for the motion sensor to detect any movement or presence of a person. This time window is optimized to quickly determine whether a lift request is valid, helping distinguish between real and false button presses.
Command Evaluation: In case the motion sensors detect a person within the verification period, the lift control system recognizes button press as a genuine request. The lift then responds by proceeding to the requested floor to pick up the user.
False Command Cancellation: In case no presence is detected within the verification period, the system verifies the button press as a false command. The lift control system automatically cancels the request, thereby preventing the lift from making an unnecessary stop. This cancellation reduces the number of redundant lift movements.
Operational Continuation: The lift continues its operations efficiently, serving genuine users and responding only to valid requests. In case a real user presses the button after a false command has been cancelled, or arrives at the lift, the system handles the new request accordingly.
System Monitoring and Maintenance: Regular monitoring and maintenance of the motion sensors and the lift control system ensure optimal performance. This includes checking sensor alignment, cleaning the sensors, and updating the software as needed. Periodic maintenance helps to keep the system function correctly, and extend the life span of its components.
The smart lift system is integrated with programming modules into the system to predict maintenance needs based on real-time data gathered from various sensors, including lift usage frequency, motor vibration patterns, and component wear and tear. This maintenance module analyzes the data to anticipate maintenance requirements, thus reducing downtime, and extending the life span of lift components. Voice control and user interaction capabilities allows users to call the lift or select floors using voice recognition technology. This feature integrates with the motion sensors, and lift control systems, increases accessability particularly for disabled and visually impaired users. The system introduces multi sensor fusion, infrared sensors, ultrasonic sensors, and thermal sensors to improve detection accuracy in various environmental conditions. This increases the system's ability to accurately detect genuine user presence, even in low visibility scenarios. The security features are increased by integrating biometric authentication, including facial recognition, and fingerprint scanning. This addition restricts lift access to authorized individuals, making the system particularly suitable for high-risk buildings, that requires enhanced security measures. The system is further equipped with environmental monitoring sensors to measure parameters temperature, humidity, and air quality in the lift and waiting area. This data enables adaptive response to maintain optimal comfort ans safety for users. The lift system is connected to a building platform, that allows it to interact with IoT devices, and building systems, lightning, and fire safety systems. The system is equipped with batteries for energy storage, that allows the system to store energy generated by regenerative drives during lift operation. This stored energy is used to power lift, and other building systems during peak demand, and power outrages, ensuring continuous operation. The verification logic is expanded using programming modules to optimize the detection of genuine lift requests. These features increases the reliability, safety ,and energy efficiency, that makes it more adaptable to various building environments.
, Claims:1. A lift system with motion sensors for safety, comprising:
a multi-sensor fusion, configured to detect user presence and environmental conditions, ensuring the lift responds only to genuine requests.;
a predictive maintenance module that analyses real-time data from sensors, including lift usage frequency, motor vibration patterns, and component wear and tear, to anticipate maintenance needs, and reduce downtime;
an energy storage unit that captures and stores energy generated by the regenerative drive during lift operation;
a lift control system that activates upon receiving a signal from an external l;ift call button;
a command cancellation feature that cancels the lift call if no user is detected within the verification period, therby preventing unnecessary lift operations;
an environmental monitoring sensor that adapts its operational parameters based on the monitored environmental conditions;
a verification mechanism that allows a brief period for user presence after the button press;
a voice control interface configured to allow users to call the lift and select floors using voice commands;and
a biometrics including face recognition and fingerprint scanning, configured to restrict lift access to authorized individuals, enhancing security in high-risk environments.
2. The system as claimed in claim 1, wherein the multi-sensor fusion includes motion, infrared, ultrasonic, and thermal sensors on each floor.
3. The system as claimed in claim 1, wherein the energy storage unit is used to power the lift, and other building systems during peak demand and power outrages.
4. The system as claimed in claim 1, wherein in environmental monitoring sensors detects temperature, humidity, and air quality parameters in the lift and waiting area.
5. The system as claimed in claim 1, wherein the verification period is adjustable to ensure the optimal balance between the energy conservation and user experience.
6. The system as claimed in claim 1, wherein verification period is set to 2 seconds to optimise detection accuracy.
7. The system as claimed in claim 1, wherein the lift control system includes a programming module to distinguish between genuine and false calls based on sensor input.
8. The system as claimed in claim 1, wherein the lift system is configured to connect with a smart building platform, enabling interaction with other devices and building systems to facilitate corrdinated control.
9. The system as claimed in claim 1, wherein the lift system consists of energy efficient components to reduce power consumption during standby and operational modes.
10. The system as claimed in claim 1, wherein the lift system is adaptable for implementation in various environments including residential buildings, shopping malls, colleges, and other traffic areas.

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