ABSTRACT When facing a specific emergent geographical environment observation task (GeoTask), people need to be able to handle reliable and comprehensive disaster information in the shortest possible time. The lack of effective cognition of multi-sensor collaborated observation capability is a hindrance to performance. By adopting the GIS object field concept as the bottom framework, we propose a sensor observation capability object field (SOCO-Field) with sensor observation capability particle (SOC-Particle) as its core. SOCO-Field integrates SOC-Objects and GeoField for the discovery and association of sensors. SOC-Particle objectively exists on every location point in the geospatial environment, and SOC-Particles in space-continuous areas can further aggregate into SOC-Particle cluster to represent single- or multi-sensor-associated observation capability information. SOCO-Field includes three basic association behaviours and four further association behaviours to solve associated observation capability, in which the dynamic GeoField is the influential factor. An experiment on flood monitoring in the lower reaches of Jinsha River Basin is conducted. The sensor planner can view any sensor combination’s associated observation capability under a specific association mode and can effectively dispatch a multi-sensor for collaborated observation due to the effective modelling of associated sensor observation capability information (SOCInfo).

中文翻译：

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SOCO-Field：面向GeoTask的多传感器规划认知的观测能力表示

摘要 当面临特定的紧急地理环境观测任务（GeoTask）时，人们需要能够在最短的时间内处理可靠、全面的灾害信息。缺乏对多传感器协同观测能力的有效认知是性能的阻碍。采用GIS对象场概念作为底层框架，提出了以传感器观测能力粒子（SOC-Particle）为核心的传感器观测能力对象场（SOCO-Field）。SOCO-Field 集成了 SOC-Objects 和 GeoField，用于传感器的发现和关联。SOC-Particle 客观存在于地理空间环境中的每个位置点上，空间连续区域的 SOC-Particles 和 SOC-Particles 可以进一步聚合成 SOC-Particle 簇来表示单传感器或多传感器相关的观测能力信息。SOCO-Field 包括三个基本关联行为和四个进一步的关联行为来解决关联观测能力，其中动态 GeoField 是影响因素。开展了金沙江流域下游洪水监测试验。传感器规划器可以在特定关联模式下查看任何传感器组合的关联观测能力，并且由于关联传感器观测能力信息（SOCInfo）的有效建模，可以有效地调度多传感器进行协作观测。SOCO-Field 包括三个基本关联行为和四个进一步的关联行为来解决关联观测能力，其中动态 GeoField 是影响因素。开展了金沙江流域下游洪水监测试验。传感器规划器可以在特定关联模式下查看任何传感器组合的关联观测能力，并且由于关联传感器观测能力信息（SOCInfo）的有效建模，可以有效地调度多传感器进行协作观测。SOCO-Field 包括三个基本关联行为和四个进一步的关联行为来解决关联观测能力，其中动态 GeoField 是影响因素。开展了金沙江流域下游洪水监测试验。传感器规划器可以在特定关联模式下查看任何传感器组合的关联观测能力，并且由于关联传感器观测能力信息（SOCInfo）的有效建模，可以有效地调度多传感器进行协作观测。