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    • 91. 发明公开
    • OCEANOGRAPHIC AND METEOROLOGICAL DATA
    • 海洋和气象数据
    • EP0584111A4
    • 1994-06-29
    • EP92909301
    • 1992-05-15
    • COMMW OF AUSTRALIA
    • ANDERSON STUART JOHN
    • G01S7/295G01S13/02G01S13/50G01S13/95
    • G01S13/0218G01S13/951Y02A90/18
    • PCT No. PCT/AU92/00225 Sec. 371 Date Nov. 8, 1993 Sec. 102(e) Date Nov. 8, 1993 PCT Filed May 15, 1992 PCT Pub. No. WO92/21041 PCT Pub. Date Nov. 26, 1992.A method of obtaining oceanographic and meteorological data from high frequency radar spectral information including the steps of transmitting a plurality of signals to a remote geographic location, recording signals backscattered from the said location, generating a family of Doppler clutter spectra from the recorded backscattered signal and analyzing the Doppler clutter spectra in terms of a model or models to generate oceanographic and meteorological data estimates. The Doppler spectra are categorized according to Suitability for Deatiled Analysis (SDA). The SDA takes account of the clutter-to-noise ratio in the spectrum, the amplitudes of the Bragg-lines, multimode propagation, spectral broadening and other spectral parameters. Spectra with a low SDA are inappropriate for extracting directional wave spectrum estimates of reasonable accuracy but are useful for obtaining wind direction estimates. Spectra with a high SDA are capable of being inverted to provide good quality estimates of the extended directional wave spectrum.
    • PCT No.PCT / AU92 / 00225 Sec。 371日期:1993年11月8日 102(e)日期1993年11月8日PCT提交日期为1992年5月15日PCT公布。 第WO92 / 21041号公报 日期:1992年11月26日。一种从高频雷达光谱信息获取海洋学和气象数据的方法,包括将多个信号发送到远程地理位置的步骤,记录从所述位置反向散射的信号,产生多普勒杂波族 来自记录的反向散射信号的光谱,并根据模型或模型分析多普勒杂波光谱以产生海洋学和气象数据估计。 多普勒频谱根据适用于脱盐分析(SDA)进行分类。 SDA考虑了频谱中的杂波比,布拉格线的幅度,多模传播,谱扩展和其他频谱参数。 具有低SDA的光谱不适合提取合理精度的方向波谱估计,但对于获得风向估计是有用的。 具有高SDA的光谱能够被反转以提供扩展的定向波频谱的良好质量估计。
    • 100. 发明公开
    • AGGREGATION AND DISTRIBUTION OF REAL-TIME DATA
    • 聚合和分配实时数据
    • EP3264392A3
    • 2018-02-28
    • EP17176738.7
    • 2017-06-19
    • Honeywell International Inc.
    • SRIVASTAV, AmitIDUPUNUR, KrishnaNARAYANAN, Sibu ParakkattuKODURU, Anantha ChandrasekharMERCHANT, Shafi
    • G08G5/00G01W1/02G01S13/95
    • G08G5/0091G01S13/953G01W1/02G01W2001/006G01W2203/00G06Q30/0283G08G5/0013G08G5/0021G08G5/0026Y02A90/14Y02A90/18
    • A system for data aggregation and distribution comprises a context builder that receives a data request from a consumer, and a producers locator that communicates with producers. A producers filter receives a list of producers and selects producers capable of providing data relevant to context information. A data requests formatter receives the context information, and sends the data request to the selected producers. A data responses validator validates data responses from producers, and a data responses processor processes validated data responses. A data predictor receives processed data responses and context information, and generates data prediction information. A data fusion module receives processed data responses, context information, data prediction information, and data history. The data fusion module combines processed data responses with data prediction information to generate a consolidated data response for the consumer. The data fusion module also considers data prediction information upon receiving a request for predicted data when real-time data is unavailable.
    • 用于数据聚集和分配的系统包括接收来自消费者的数据请求的上下文构建器以及与生产者通信的生产者定位器。 生产者过滤器接收生产者列表并选择能够提供与上下文信息相关的数据的生产者。 数据请求格式化程序接收上下文信息,并将数据请求发送给选定的生产者。 数据响应验证器验证来自生产者的数据响应,并且数据响应处理器处理经验证的数据响应。 数据预测器接收处理后的数据响应和上下文信息,并生成数据预测信息。 数据融合模块接收经处理的数据响应,上下文信息,数据预测信息和数据历史。 数据融合模块将经处理的数据响应与数据预测信息组合以生成针对消费者的合并数据响应。 当实时数据不可用时,数据融合模块在接收到对预测数据的请求时也考虑数据预测信息。