An Improved API and User Experience for the Mortar Testbed

Gabe Fierro, D. Culler
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Abstract

The lack of access to real-world building data has long been a significant barrier to the development and evaluation of robust applications and analyses that operate on the built environment. The Mortar platform is an open testbed for portable building analytics containing timeseries data for over 100 buildings as well as rich semantic descriptions of the assets and data sources in buildings. Access to Mortar's data is performed through an API which enforces a staged application architecture intended to simplify the development and deployment of analytics applications across a large number of buildings. In practice, users felt overly constrained by the structure enforced by the API and needed a mechanism for discovering the data available in the testbed. In this demonstration, we present (1) an improved, declarative, API for Mortar that decouples application structure from data access, and (2) an interactive query builder interface that assists users in data discovery and in authoring Brick models.
改进的迫击炮试验台API和用户体验
长期以来,缺乏对真实建筑数据的访问一直是开发和评估在建筑环境上运行的健壮应用程序和分析的重大障碍。Mortar平台是便携式建筑分析的开放测试平台,包含100多个建筑物的时间序列数据以及建筑物中资产和数据源的丰富语义描述。对Mortar数据的访问是通过API执行的,该API实施了一种分级应用程序架构,旨在简化跨大量建筑物的分析应用程序的开发和部署。在实践中,用户觉得API强制的结构过于约束,需要一种机制来发现测试平台中可用的数据。在这个演示中,我们提出(1)一个改进的、声明性的、用于砂浆的API,它将应用程序结构与数据访问分离,以及(2)一个交互式查询构建器接口,它帮助用户发现数据并创建Brick模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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