Telemetry data acquisition and transmission modules for motorcycles

汽车互联网的发展最近受到了政府、汽车制造商和消费者的广泛关注。连接可以用于各种目的，如交通控制和管理，个人路线规划，城市规划，电子收费等，摩托车社区肯定应该是这一运动的一部分。该项目旨在真实的收集摩托车上的遥测数据，如骑手的地理位置、方向、速度、加速度、角速度、高度、温度和振动。这将通过以具有成本效益的方式设计专用遥测和数据采集无线模块来实现。这些模块应具有近场能力 通信以从各种传感器获取移动性数据。这些还应具有广域无线连接，以将数据传输到云服务器。这些装置应坚固耐用，并由摩托车电池供电。这些数据以及来自其他联网车辆的数据将被存储和分析，以了解骑手的动态，并提供有关交通、安全、常见事故点和道路状况等方面的真实的时间反馈。这些数据也可以与附近的其他联网车辆共享。主要的技术挑战将是：1）使用信号处理和滤波算法可靠地获取遥测数据，以消除运动伪影，噪声和失真; 2）数据压缩算法，以减少数据量; 3）对云中边缘服务器中收集的数据进行准确，实时分析，以提取有用的信息。注意，前两个操作应在遥测设备的微处理器中执行，处理能力有限。

The development of connected (or Internet of) vehicles has received a lot of attention recently from governments, automobile manufacturers, and consumers. Connectivity can serve various purposes such as traffic control and management, individual route planning, urban planning, electronic tolling, etc. Motorcycle community should definitely be part of this movement. This project aims to collect telemetry data such as the rider's geographical position, direction, speed, acceleration, angular velocity, altitude, temperature and vibrations from Motorcycles in real time. This will be done by designing dedicated telemetry and data acquisition wireless modules in a cost effective manner. These modules shall have ability for near field communications to acquire mobility data from various sensors. These shall also have wide area wireless connectivity to transmit the data to the cloud server. These shall be robust and rugged and be powered by motorcycle batteries. This data, together with data from other connected vehicles, will then be stored and analyzed to learn rider dynamics and provide real time feedback on things like traffic, safety, frequent accident spots and road status. This data can be shared with other nearby connected vehicles as well. The major technical challenges would be: 1) Reliable acquisition of telemetry data using signal processing and filtering algorithms to remove movement artifacts, noise and distortion and 2) Data compression algorithms to reduce the amount of data 3) Accurate, real-time analysis of the collected data in the edge server in the cloud for extracting useful information. Note the first two operations shall be implemented in the microprocessor in the telemetry device with limited processing capacities.