在美国和全球范围内，建筑运营是能源的重要消耗者，也是碳排放的贡献者。能源审计通过提供涉及设备升级、运行调整和建筑重新调试的详细建议，在减少建筑能源使用方面具有巨大潜力。然而，能源审计是一个时间密集型过程，需要大量经验和培训。这会导致与执行审计相关的高成本，并阻止许多企业完成审计。 自动化审计过程不仅将降低审计成本，还将根据改进的数据收集和分析为客户提供更可重复和准确的建议。本文讨论了机器人审计工具的前期工作和当前发展状况。给出了照明评估原型和环境基线测量原型的初步结果。本文最后介绍了自动驾驶汽车在审计中面临的挑战和未来的可能性。 引文:ASHRAE Transactions，第123卷，pt。2

Building operations are a significant consumer of energy and contributor to carbon emissions in the United States and around the globe. Energy audits offer significant potential in reducing building energy use by providing tailoredrecommendations involving equipment upgrades, operational adjustments, and building recommissioning. However, an energy audit is a time-intensive process that requires significant experience and training. This causes high costs related to performing an audit and prevents many businesses from having an audit completed. Automating the audit process not only will not only reduce the cost of audits but also provide clients with more repeatable and accurate recommendations based on improved data collection and analysis.Previous work and the current state of the art of robotic auditing tools are discussed in this paper. Preliminary results from a lighting assessment prototype and an environmental baseline measurement prototype are presented. The paper closes with open challenges and future possibilities of autonomous vehicles for conducting audits.