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Monitoring Aircraft Noise and Operations in the Vicinity of Airports: System Validation 监测机场附近的飞机噪音和运行:系统验证
发布日期: 2012-07-12
本SAE航空航天推荐规程(ARP)提供了工程方法,可用于使用有人值守或无人值守监测系统监测机场附近的飞机噪声和运行,以及验证永久系统测量结果的方法。第1部分提供了永久系统的组件、安装和管理指南,以及从飞机噪声临时监测中收集的数据分析指南。第2部分(本部分)描述了系统筛选测试和验证永久安装系统报告数据的详细测试方法。本文件旨在作为标准实践指南,并可能随着经验和技术进步而发生变化。 潜在用户包括:机场业主、机场邻居、联邦、州和地方政府机构、设备供应商以及其他公共机构和官员。潜在的应用包括:第1部分——开发相关方之间的通信基础,以获取、安装和运行永久监测系统,并减少通过临时监测收集的声级数据;第2部分-初始系统测试和详细的系统验证和改进。此处包含的推荐做法适用于商业航空公司机场和通用航空机场。本文件第1部分中的指南适用于在本文件发布日期后设计和安装(或翻新)的机场噪声监测系统。 第1部分还提供了分析临时噪声监测数据的方法。第2部分中的方法和信息可用于任何永久性监测系统。第2部分讨论的主要主题分为六个小节。第2节和第3节给出了参考文献和定义。第4节“安装后筛选测试”确定了系统安装并投入运行后可能立即进行的测试。这些测试仅使用直接来自系统的数据,并应有效识别任何主要缺陷,如大量操作缺失、飞机噪声事件数据缺失或错误。这些测试也可以在系统报告数据的某些主要部分或类型有问题的任何时候运行。 第5节“特殊研究的系统验证”提供了更严格、更耗时的方法,用于在特殊需求需要对系统数据进行详细、定量分析时量化永久系统的能力。它描述了可用于确定系统性能的指标、测试和计算:(1)捕获所有飞机飞行跟踪信息,(2)将捕获的航迹与跑道、飞机类型和航班匹配,(3)捕获飞机噪声事件,(4)将这些事件与正确的航迹、跑道和飞机匹配,(5)测量飞机声级,(6)正确定位飞机飞行轨迹。第6节——数据分析和报告——提出了改进系统运行的一般步骤,以及应如何报告测量数据,以提供足够的信息,以便审查人员能够轻松判断数据质量。
This SAE Aerospace Recommended Practice (ARP) provides engineering methods that can be applied to monitoring aircraft noise and operations in the vicinity of airports using either attended or unattended monitoring systems, as well as methods for validation of measurement results from permanent systems. Part 1 provides guidance on the components, installation and administration of permanent systems and guidance on analysis of data collected from temporary monitoring of aircraft noise. Part 2, this part, describes both system screening tests and detailed test methods for validating the data reported by permanently installed systems. This document is intended as a guide toward standardpractice and is subject to change with experience and technical advances. Potential users include: airport proprietors, airport neighbors, federal, state and local government agencies, equipment vendors and other public bodies and officials. Potential applications include: Part 1 - development of a basis for communication among concerned parties for acquisition, installation and operation of a permanent monitoring system, and reduction of sound level data collected through temporary monitoring; Part 2 - initial system testing and detailed system validation and improvement.The recommended practices included here are intended to apply to commercial air carrier airports and general-aviation airports.The guidance in Part 1 of this document is intended for application to airport noise-monitoring systems that are designed and installed (or refurbished) after the publication date of the document. Part 1 also provides methods for analyzing data from temporary noise monitoring. The methods and information in Part 2 may be used for any permanent monitoring system.The primary topics addressed in this Part 2 are identified in six subsections. Sections 2 and 3 give References and Definitions. Section 4, Post-Installation Screening Tests, identifies tests that may be conducted immediately after a system has been installed and is operational. These tests use only data directly from the system and should efficiently identify any major short-comings, such as missing significant numbers of operations, missing or erroneous aircraft noise event data. These tests may also be run at any time that some major portion or type of system reported data is in question.Section 5, System Validation for Special Studies, provides more rigorous and time consuming methods for quantifying a permanent system's capabilities when special needs require detailed, quantitative analysis of system data. It describes metrics, tests and calculations that can be used to determine how well the system is: (1) capturing all aircraft flight tracking information, (2) matching captured tracks to runways, aircraft types and flights, (3) capturing aircraft noise events, (4) matching those events with correct tracks, runways and aircraft, (5) measuring aircraft sound levels, and (6) properly locating aircraft flight tracks. Section 6 - Data Analysis and Reporting - Suggests what general steps can be taken to improve system operation and how measured data should be reported to provide sufficient information so that reviewers can easily judge data quality.
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