{"title":"MDB:元数据跟踪微控制器微数据库","authors":"Marsalis Gibson, Javier Rosa, E. Brewer","doi":"10.1145/3001913.3006645","DOIUrl":null,"url":null,"abstract":"This work in progress explores a database designed to enable data sharing on custom hardware data collection devices and prototypes. Projects and systems are frequently based on the Arduino framework, examples include ODK's FoneAstra [3], the Open Energy Monitor [7], and the Grove system of sensors [5]. The Arduino platform is targeted because of its ease of use, community support, and low cost as a data collecting device compared to other off-the-shelf sensors. However, there is a need for a framework suitable for microcontrollers that enable ease of integration into other data collection systems. This includes the ability to synchronize data with collection and aggregation devices designed to work offline as well as the ability to track sensors and describe data sources for other machines and users. To address the issue, we propose a solution based on an existing small database usable on the Arduino platform that would integrate into the Mezuri [6] data collection system. The database is designed to fit within the running memory constraints on a microcontroller to store sensor data with relatively few fields per reading on flash media. This framework, with explicit support for metadata, enables users in emerging regions to directly measure physical quantities as well as indirectly measure human behavior in future development projects involving direct sensing. The database can be used by a non-expert. In particular, we investigate the qualities that a technically inclined social scientist would look for when storing such data on microcontrollers. 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The Arduino platform is targeted because of its ease of use, community support, and low cost as a data collecting device compared to other off-the-shelf sensors. However, there is a need for a framework suitable for microcontrollers that enable ease of integration into other data collection systems. This includes the ability to synchronize data with collection and aggregation devices designed to work offline as well as the ability to track sensors and describe data sources for other machines and users. To address the issue, we propose a solution based on an existing small database usable on the Arduino platform that would integrate into the Mezuri [6] data collection system. The database is designed to fit within the running memory constraints on a microcontroller to store sensor data with relatively few fields per reading on flash media. This framework, with explicit support for metadata, enables users in emerging regions to directly measure physical quantities as well as indirectly measure human behavior in future development projects involving direct sensing. The database can be used by a non-expert. In particular, we investigate the qualities that a technically inclined social scientist would look for when storing such data on microcontrollers. 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引用次数: 0
摘要
这项正在进行的工作探索了一个数据库,旨在实现在定制硬件数据收集设备和原型上的数据共享。项目和系统经常基于Arduino框架,例如ODK的FoneAstra[3]、Open Energy Monitor[7]和Grove传感器系统[5]。与其他现成的传感器相比,Arduino平台的目标是易于使用,社区支持和作为数据收集设备的低成本。然而,需要一种适合微控制器的框架,使其易于集成到其他数据收集系统中。这包括与设计为离线工作的收集和聚合设备同步数据的能力,以及跟踪传感器和描述其他机器和用户的数据源的能力。为了解决这个问题,我们提出了一个基于Arduino平台上现有的小型数据库的解决方案,该数据库将集成到Mezuri[6]数据采集系统中。该数据库旨在适应微控制器的运行内存限制,以便在闪存媒体上以相对较少的字段每次读取存储传感器数据。该框架明确支持元数据,使新兴地区的用户能够在涉及直接传感的未来发展项目中直接测量物理量以及间接测量人类行为。非专家也可以使用这个数据库。特别是,我们调查了技术倾向的社会科学家在将这些数据存储在微控制器上时会寻找的品质。为了实现Mezuri集成,我们将支持元数据作为第一类对象,通过附加的实用程序函数和本地同步支持进行访问。
MDB: A Metadata Tracking Microcontroller Micro-Database
This work in progress explores a database designed to enable data sharing on custom hardware data collection devices and prototypes. Projects and systems are frequently based on the Arduino framework, examples include ODK's FoneAstra [3], the Open Energy Monitor [7], and the Grove system of sensors [5]. The Arduino platform is targeted because of its ease of use, community support, and low cost as a data collecting device compared to other off-the-shelf sensors. However, there is a need for a framework suitable for microcontrollers that enable ease of integration into other data collection systems. This includes the ability to synchronize data with collection and aggregation devices designed to work offline as well as the ability to track sensors and describe data sources for other machines and users. To address the issue, we propose a solution based on an existing small database usable on the Arduino platform that would integrate into the Mezuri [6] data collection system. The database is designed to fit within the running memory constraints on a microcontroller to store sensor data with relatively few fields per reading on flash media. This framework, with explicit support for metadata, enables users in emerging regions to directly measure physical quantities as well as indirectly measure human behavior in future development projects involving direct sensing. The database can be used by a non-expert. In particular, we investigate the qualities that a technically inclined social scientist would look for when storing such data on microcontrollers. To enable Mezuri integration we will support metadata as a first class object accessible with additional utility functions and native synchronization support.