用于火星科学实验室操作的下行通道自动生成衍生产品的新工具

Katie Donahoe, Jacqueline Ryan, Stephanie Oij
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引用次数: 1

摘要

随着火星科学实验室(MSL)任务进入其第三次扩展任务,自动化操作程序的价值变得越来越重要。MSL的操作产品生成子系统(OPGS)负责为所有火星车仪器(包括非成像)生成0级产品,并为工程相机生成下游1级产品。OPGS团队在下行评估时生成的马赛克图像由Navcam和Mastcam相机仪器的数据组成。OPGS下行链路分析师负责从自动生成的单帧产品中生成关键拼接,用于战术和战略作战。在登陆火星的任务中,数据以离散的路径传输到地球,这些路径对应于轨道飞行器的飞越,然后由每个子系统的代表在对漫游车进行下行评估时进行评估。下行评估的产品生成名义上需要1小时15分钟完成,每个数据生成过程都遵循特定的程序。自动化这些过程将生成产品所需的时间从1小时15分钟的密集活动减少到10分钟的验证过程。此外,目前的下行链路分析师角色需要长达两个月的培训;通过这种自动化工作,学习复杂过程的需要大大减少了。除了为分析人员节省时间之外,自动化飞行员位置还减少了下行链路和向科学用户和上行链路团队交付马赛克之间的延迟。让研究人员更快地访问数据是非常可取的,特别是在科学团队分布在许多地理位置和时区的情况下。它也自动化和确定性地坚持一个严格的过程,这允许在所有马赛克创作的一致性。此外,它允许在未来需求变化时修改流程的健壮性,而不需要彻底的用户培训开销。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
New Tools to Automatically Generate Derived Products upon Downlink Passes for Mars Science Laboratory Operations
As the Mars Science Laboratory (MSL) mission continues into its third extended mission, the value of automating operational procedures grows increasingly important. The Operational Product Generation Subsystem (OPGS) of MSL is responsible for generating Level 0 products for all rover instruments (including non-imaging) and downstream Level 1 products for the engineering cameras. Mosaic imagery generated by the OPGS team on downlink assessment is comprised of data from the Navcam and Mastcam camera instruments. OPGS downlink analysts are responsible for generating key mosaics from the automatically generated single frame products for tactical and strategic operations. On Mars landed missions, data is transmitted to Earth in discrete passes that correspond to orbiter overflights, which are then assessed by representatives from each subsystem when there is a downlink assessment for the rover. Product generation at downlink assessment nominally takes 1 hour and 15 minutes to complete, and each data production process follows a specific procedure. Automating these processes reduces the time required to generate products from 1 hour and 15 minutes of intensive activity to a 10-minute validation process. Additionally, the current downlink analyst role requires up to two months training; with this automation effort, the need for learning complex procedures is greatly reduced. Beyond saving time for the analyst, automating the pilot position decreases the delay between downlink and delivering mosaics to the science users and uplink team. Giving researchers quicker access to the data is highly desirable especially as the science team is spread out across many geographic locations and time zones. It also automates and deterministically adheres to a rigid process, which allows for uniformity in all mosaic creation. In addition, it allows robustness to modifying the process as future requirements change, without the overhead of thorough user training.
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