SBIR Phase I: A geospatial technology innovation for advanced data analytics of regulatory permitted and surety bonded industrial mining
SBIR Phase I: A geospatial technology innovation for advanced data analytics of regulatory permitted and surety bonded industrial mining
批准号:
1548900
负责人:
Russell Schimmer
金额:
$15.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-01-01 至 2016-12-31
中文摘要
小型企业创新研究(SBIR)第一阶段项目的更广泛影响/商业潜力将来自于开发一种以科学为基础的标准化地理空间商业产品,旨在改善承保工业采矿活动的环境完整性和财务管理。煤炭、金属和其他大宗商品的开采是一个价值数十亿美元的行业,对环境和社会都有影响。法规要求矿山经营者获得环境担保,以保护公众免受开垦和修复受矿山干扰的土地及其环境影响的成本。金融机构发行价值数十亿美元的债券来承销这些债券。作为一种提供可操作信息的决策支持工具,该产品将远程评估数千个保税点的采矿作业,并根据运营商、地点和许可证帮助评估环境风险和财务风险。作为一种环境监测和早期发现系统,该产品将为利益攸关方提供一种服务,以便主动干预,并将责任分配给负责任的各方,以保护环境和公众免受不必要和无节制的损害,这些损害危及清洁水等重要资源,并花费数亿美元进行修复工作。目前,市场上还没有其他类似的大数据和高级分析产品。这个小型企业创新研究(SBIR)第一阶段项目将进行高级概念验证研发,作为开发采矿环境完整性和金融承保产品的一部分。该项目将处理各种标准化属性,包括地雷特征特征、地雷废物生命周期和地雷废物遏制。其目标是开发一种产品,旨在成为一种决策支持工具,用于评估矿山经营者的环境业绩以及与环境保护和公共健康相关的财务风险。该项目的关键技术挑战是(1)开发标准化和可靠的分析和诊断算法,(2)处理数TB的数据,以及(3)设计产生标准化和知识驱动的分析的自动化大数据分析系统。第一阶段的目标是(1)完成早期研究和开发,(2)扩大研究模型的挖掘应用和地理范围,(3)开始开发全自动地理信息系统大数据处理和高级数据分析系统。实现这些目标的概要计划包括(1)数据采集、数据预处理和算法开发;(2)实地工作以测试基于诊断的分类算法;(3)实验室工作以分析现场收集的数据;以及(4)通过开发和测试地理数据库和高级分析系统来进行系统的变化检测和解释。
英文摘要
The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project will result from the development of a scientifically-based standardized geospatial commercial product designed to improve the environmental integrity and financial management of underwriting industrial mining activities. Mining for coal, metals, and other commodities is a multi-billion dollar industry with environmental and societal impacts. Regulations require mine operators to obtain environmental bonds to protect the public from the cost of reclaiming and remediating mine-disturbed lands and their environmental impacts. Financial institutions issue bonds valued in the billions of dollars to underwrite these bonds. As a decision support tool providing actionable information, this product would evaluate mine operations remotely at thousands of bonded sites and assist in estimating environmental exposure and financial risk based on operator, location, and permit. As an environmental monitoring and early-detection system, this product would provide a service for stakeholders to intervene proactively and assign liability to responsible parties as a means of protecting the environment and public from sustaining unnecessary and unchecked damages that jeopardize vital resources, such as clean water, and cost hundreds of millions of dollars in restoration efforts. Currently there is no other big-data and advanced-analytics product of this kind on the market. This Small Business Innovation Research (SBIR) Phase I project will undertake advanced proof of concept R&D as part of developing a mining environmental integrity and financial underwriting product. The project will process a variety of standardized attributes including mine-feature characterization, mine-waste life cycles, and mine-waste containment. The goal is to develop a product that is intended to be a decision support tool for evaluating mine operator environmental performance and the associated financial risks attached to environmental protection and public health. The key technical challenges of the project are (1) developing standardized and reliable analytical and diagnostic algorithms, (2) processing multiple terabytes of data, and (3) designing an automated big-data analytical system producing standardized and knowledge driven analytics. The Phase I goals are to (1) complete early-stage research and development, (2) expand the research model's mining applications and geographic scope, and (3) begin development of a fully automated GIS big-data processing and advanced data-analytics system. The summary plan to reach these goals comprises (1) data acquisition, data preprocessing, and algorithm development; (2) fieldwork to test the diagnostic-based classification algorithms; (3) lab work to analyze field-collected data; and (4) systematic change detection and interpretations by developing and testing a geodatabase and advanced-analytics system.
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