Elevator Communications System with Local Data Processing
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Solution Overview
Problem
Conveyance systems, such as elevator systems, face complexity and scalability issues in data transmission between system components, leading to inefficiencies in communication and operational management.
Innovation Solution
A communications system with a local gateway and various modules mounted on the elevator car, including a processor for local data processing, sensors for condition detection, and interfaces for communication, which reduce bandwidth requirements and enhance scalability by enabling edge computing and efficient data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If wired and/or wireless communications are provided between system components, then data transmission capability is achieved, but system complexity increases and scalability becomes difficult
Solution Approach 1:
The system is divided into modular components including a controller, multiple sensors (location sensor, light sensor, sensor module), and communication interfaces. Each component operates independently but connects through standardized protocols, enabling easy addition or removal without affecting the entire system's data transmission capability.
Solution Approach 2:
The communication system uses universal interfaces that can handle multiple types of data transmission (location data, light level data, sensor data, voice data, video data) through a single integrated architecture. The same communication protocol serves all modules, simplifying the system while maintaining comprehensive data transmission capabilities.
2Loss of information
If data is transmitted from all modules to the controller, then complete information is available, but communication bandwidth requirements increase
Solution Approach 1:
Raw data from sensors is extracted and processed locally at each module before being transmitted to the controller. The location sensor processes location data, the light sensor processes light level data, and the sensor module processes other sensor data locally, extracting only essential information for transmission to reduce bandwidth requirements while maintaining information completeness.
Solution Approach 2:
Data processing is performed preliminarily at each module before transmission to the controller. Each module pre-processes its data (location, light levels, sensor readings) to extract meaningful information, reducing the amount of raw data that needs to be transmitted and thus lowering communication bandwidth requirements.
3Adaptability or versatility
If multiple types of sensors and modules are added to the elevator car, then functional capability improves, but system complexity and difficulty of detecting and measuring increases
Solution Approach 1:
The system uses segmented modular design where each sensor type (location sensor, light sensor, sensor module for acceleration/air pressure/sound) is a separate, standardized module. This segmentation allows the system to add functional capabilities by simply adding modules rather than redesigning the entire system, reducing the perceived complexity despite increased functionality.
Solution Approach 2:
Each module is designed with specialized local functionality (location detection, light level detection, sensor detection) while using the same communication interface and processing architecture. This local quality approach allows diverse sensor types to be integrated without increasing overall system complexity, as each handles its specific measurement function independently using standardized protocols.
Data Source
AI summary
A conveyance system includes a local gateway configured to communicate with a remote system over a communications network; at least one module in communication with the local gateway; the at least one module including a processor configured to perform local processing of data at the at least one module.