Scalable Sport Data Hub Router for Real-Time Sync
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current systems lack an efficient and scalable method for collecting, sharing, and processing sports data in real-time across various sport events, hindering broad applications in the field.
Innovation Solution
A scalable sport data collecting, sharing, and processing system comprising a hub device and client devices, where producer client devices equipped with sensors and processors generate and send data packets to a hub, which acts as a router for data communication, enabling time-synchronized data sharing among client devices, including consumer devices for processing and storage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a scalable sport data collecting, sharing and processing system is implemented, then data collection efficiency and real-time processing capability are improved, but system complexity and device coordination requirements increase
Solution Approach 1:
The system divides data collection and processing functions into separate producer client devices and consumer client devices, with producer devices equipped with sensors for data generation and consumer devices for data processing and analysis. This segmentation allows each device to specialize in specific tasks, improving overall data collection efficiency while distributing system complexity across multiple independent components rather than requiring all functions in a single complex system
Solution Approach 2:
The system introduces a communication network as an intermediary that coordinates data exchange between producer and consumer devices. The network manages data flow, synchronization, and routing, which simplifies individual device design while enabling efficient real-time data collection across the entire system. The intermediary handles the coordination complexity centrally, allowing individual devices to remain relatively simple
2Adaptability or versatility
If multiple client devices are connected via data communication links for real-time data exchange, then data sharing capability is improved, but communication overhead and synchronization difficulty increase
Solution Approach 1:
The system employs a universal communication protocol that enables diverse client devices (wearable sensors, smartphones, computers, cameras) to exchange data through a common interface. This multi-functionality allows different device types to share data efficiently without requiring device-specific communication mechanisms, improving data sharing capability while reducing the time lost to protocol conversion and compatibility issues
Solution Approach 2:
The system establishes continuous data communication channels between producer and consumer devices, enabling real-time data streaming without interruption. This continuous action eliminates the need for repeated connection establishment and data buffering, maintaining constant data flow and minimizing synchronization delays across the network
Data Source
AI summary
A scalable sport data collecting, sharing and processing system includes: a hub device, and a plurality of client devices, the client devices being connected to the hub device via a data communication link. The client devices include a producer client device and a consumer client device; the producer client device includes one or more sensors selected from the group consisting of be an image sensor, an audio sensor, a GPS/GNSS receiver, an accelerometer, a gyroscope, and a magnetometer, a processor, and a communication module; and the consumer client device includes a process, a communication module, a display and a data storage.