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1. 发明授权

US09495863B2 Dynamic prediction of risk levels for manufacturing operations through leading risk indicators: alarm-based intelligence and insights 有权
标题翻译：通过领先的风险指标动态预测制造业务的风险水平：基于报警的情报和见解
公开(公告)号：US09495863B2
公开(公告)日：2016-11-15
申请号：US14511729
申请日：2014-10-10
申请人： Near-Miss Management, LLC
发明人： Ankur Pariyani , Ulku G. Oktem
IPC分类号： G08B21/00 , G08B29/02 , G05B23/02
CPC分类号： G08B29/02 , G05B23/024 , G05B23/0278
摘要： Provided are methodologies to properly assess and manage operational risks at operations sites, e.g., a manufacturing, production or processing facility, such as a refinery, chemical plant, fluid-catalytic-cracking units, or nuclear energy plant, or a biological or waste management facility, airport or even financial institutions, or at any facility in which operations are often accompanied by risk associated with many high-probability, low-consequence events, often resulting in near-misses. In some operations, processes are monitored by alarms, but the invention operates on either process data or alarm data. The methods are based upon measurement of one or more variables, and/or utilization and management of the concept of “hidden process near-miss(es)” to identify a change or escalation, if any, in probability of occurrence of an adverse incident. The methodologies combine a plurality of subsets (also useful independently) of dynamically calculated leading risk indicators for dynamic risk management.
摘要翻译：提供了正确评估和管理运营场所（如炼油厂，化工厂，流体催化裂解装置或核能装置）或生物或废物管理等制造，生产或加工设施的操作风险的方法设施，机场甚至金融机构，或在任何经营伴随许多高概率，低结果事件相关风险的设施，往往导致近乎失误。在一些操作中，过程由报警监控，但是本发明对过程数据或报警数据进行操作。这些方法是基于对一个或多个变量的测量，和/或“隐藏过程近乎想法”的概念的使用和管理，以识别发生不良事件的可能性的变化或升级（如果有的话）。这些方法将动态计算的主要风险指标的多个子集（也可以独立有效）结合起来，用于动态风险管理。

2. 发明授权

US10705516B2 Dynamic prediction of risk levels for manufacturing operations through leading risk indicators: dynamic risk fault tree method and system 有权
公开(公告)号：US10705516B2
公开(公告)日：2020-07-07
申请号：US16356580
申请日：2019-03-18
申请人： Near-Miss Management LLC
发明人： Ulku G. Oktem , Ankur Pariyani , Brett Emaus , Daniel Shumway , Steven DeLaurentis
IPC分类号： G08B23/00 , G05B23/02 , G06Q10/06 , G06Q50/04
摘要： A dynamic risk fault tree (DRFT) for displaying and analyzing risk levels for manufacturing operations. The DRFT incorporates a Dynamic Risk Analyzer (DRA) to periodically assesses real-time or historic process data, or both, associated with an operations site, such as a manufacturing, production, or processing facility, including a plant's operations, and identifies hidden near-misses of such operation, when in real time the process data appears otherwise normal. DRFT assesses the process data in a manner that enables operating personnel including management at a facility to have a comprehensive understanding of the risk status and changes in both alarm and non-alarm based process variables. The DRA and hidden process near-miss data may be analyzed alone or in combination with other process data and/or data resulting from prior near-miss situations to permit strategic action to be taken to reduce or avert the occurrence of adverse incidents or catastrophic failure of a facility operation.

3. 发明授权

US10268962B2 Dynamic prediction of risk levels for manufacturing operations through leading risk indicators: dynamic risk analyzer engine 有权
公开(公告)号：US10268962B2
公开(公告)日：2019-04-23
申请号：US15012109
申请日：2016-02-01
申请人： Near-Miss Management LLC
发明人： Ankur Pariyani , Dmitriy Bespalov , Ulku G. Oktem , Luis Cielak
IPC分类号： G08B23/00 , G06N5/04 , G05B23/02
摘要： The dynamic risk analyzer (DRA) provided by the present invention periodically assesses real-time or historic process data, or both, associated with an operations site, such as a manufacturing, production, or processing facility, including a plant's operations, and identifies hidden near-misses of such operation, when in real time the process data appears otherwise normal. DRA assesses the process data in a manner that enables operating personnel including management at a facility to have a comprehensive understanding of the risk status and changes in both alarm and non-alarm based process variables. The hidden process near-miss data may be analyzed alone or in combination with other process data and/or data resulting from prior near-miss situations to permit strategic action to be taken to reduce or avert the occurrence of adverse incidents or catastrophic failure of a facility operation.

4. 发明申请

US20220214679A1 Dynamic Prediction of Risk Levels for Manufacturing Operations through Leading Risk Indicators: Dynamic Exceedance Probability Method and System 有权
公开(公告)号：US20220214679A1
公开(公告)日：2022-07-07
申请号：US17582234
申请日：2022-01-24
申请人： Near-Miss Management LLC
发明人： Ankur Pariyani , Matt Dering , Ulku G. Oktem , Brett Emaus , Daniel Shumway , Steven DeLaurentis
IPC分类号： G05B23/02
摘要： The invention provides a dynamic risk analyzer (DRA) that periodically assesses real-time or historic process data, or both, associated with an operations site, such as a manufacturing, production, or processing facility, including a plant's operations, and identifies hidden near-misses of such operation, when in real time the process data appears otherwise normal. DRA assesses the process data in a manner that enables operating personnel including management at a facility to have a comprehensive understanding of the risk status and changes in both alarm and non-alarm based process variables. The hidden process near-miss data may be analyzed alone or in combination with other process data and/or data resulting from prior near-miss situations to permit strategic action to be taken to reduce or avert the occurrence of adverse incidents or catastrophic failure of a facility operation.

5. 发明授权

US11250366B2 Dynamic prediction of risk levels for manufacturing operations through leading risk indicators: dynamic risk sloping trend method and system 有权
公开(公告)号：US11250366B2
公开(公告)日：2022-02-15
申请号：US16894965
申请日：2020-06-08
申请人： Near-Miss Management LLC
发明人： Matthew L. Dering , Ankur Pariyani , Ulku G. Oktem , Daniel Shumway , Brett Emaus , Steven DeLaurentis
IPC分类号： G08B23/00 , G06Q10/06 , G06Q50/04 , G06T11/20 , G06N7/00 , G05B17/02 , G06Q10/10
摘要： The invention provides a dynamic risk analyzer (DRA) that periodically assesses real-time or historic process data, or both, associated with an operations site, such as a manufacturing, production, or processing facility, including a plant's operations, and identifies hidden near-misses of such operation, when in real time the process data appears otherwise normal. DRA assesses the process data in a manner that enables operating personnel including management at a facility to have a comprehensive understanding of the risk status and changes in both alarm and non-alarm based process variables. The hidden process near-miss data may be analyzed alone or in combination with other process data and/or data resulting from prior near-miss situations to permit strategic action to be taken to reduce or avert the occurrence of adverse incidents or catastrophic failure of a facility operation.

6. 发明申请

US20200302354A1 Dynamic Prediction of Risk Levels for Manufacturing Operations through Leading Risk Indicators: Dynamic Risk Sloping Trend Method and System 审中-公开
公开(公告)号：US20200302354A1
公开(公告)日：2020-09-24
申请号：US16894965
申请日：2020-06-08
申请人： Near-Miss Management LLC
发明人： Matthew L. Dering , Ankur Pariyani , Ulku G. Oktem , Daniel Shumway , Brett Emaus , Steven Delaurentis
IPC分类号： G06Q10/06 , G06Q50/04 , G06Q10/10 , G06N7/00 , G05B17/02 , G06T11/20
摘要： The invention provides a dynamic risk analyzer (DRA) that periodically assesses real-time or historic process data, or both, associated with an operations site, such as a manufacturing, production, or processing facility, including a plant's operations, and identifies hidden near-misses of such operation, when in real time the process data appears otherwise normal. DRA assesses the process data in a manner that enables operating personnel including management at a facility to have a comprehensive understanding of the risk status and changes in both alarm and non-alarm based process variables. The hidden process near-miss data may be analyzed alone or in combination with other process data and/or data resulting from prior near-miss situations to permit strategic action to be taken to reduce or avert the occurrence of adverse incidents or catastrophic failure of a facility operation.

7. 发明申请

US20190235483A1 Dynamic Prediction of Risk Levels for Manufacturing Operations through Leading Risk Indicators: Dynamic Risk Fault Tree Method and System 审中-公开
公开(公告)号：US20190235483A1
公开(公告)日：2019-08-01
申请号：US16356580
申请日：2019-03-18
申请人： Near-Miss Management LLC
发明人： Ulku G. Oktem , Ankur Pariyani , Brett Emaus , Daniel Shumway , Steven DeLaurentis
IPC分类号： G05B23/02 , G06Q10/06
摘要： A dynamic risk fault tree (DRFT) for displaying and analyzing risk levels for manufacturing operations. The DRFT incorporates a Dynamic Risk Analyzer (DRA) to periodically assesses real-time or historic process data, or both, associated with an operations site, such as a manufacturing, production, or processing facility, including a plant's operations, and identifies hidden near-misses of such operation, when in real time the process data appears otherwise normal. DRFT assesses the process data in a manner that enables operating personnel including management at a facility to have a comprehensive understanding of the risk status and changes in both alarm and non-alarm based process variables. The DRA and hidden process near-miss data may be analyzed alone or in combination with other process data and/or data resulting from prior near-miss situations to permit strategic action to be taken to reduce or avert the occurrence of adverse incidents or catastrophic failure of a facility operation.

8. 发明申请

US20160148107A1 Dynamic Prediction of Risk Levels for Manufacturing Operations through Leading Risk Indicators: Dynamic Risk Analyzer Engine 审中-公开
标题翻译：通过领先的风险指标对制造业务的风险水平进行动态预测：动态风险分析仪引擎
公开(公告)号：US20160148107A1
公开(公告)日：2016-05-26
申请号：US15012109
申请日：2016-02-01
申请人： Near-Miss Management LLC
发明人： Ankur Pariyani , Dmitriy Bespalov , Ulku G. Oktem , Luis Cielak
IPC分类号： G06N5/04
CPC分类号： G06N5/04 , G05B23/024 , G05B23/0278
摘要： The dynamic risk analyzer (DRA) provided by the present invention periodically assesses real-time or historic process data, or both, associated with an operations site, such as a manufacturing, production, or processing facility, including a plant's operations, and identifies hidden near-misses of such operation, when in real time the process data appears otherwise normal. DRA assesses the process data in a manner that enables operating personnel including management at a facility to have a comprehensive understanding of the risk status and changes in both alarm and non-alarm based process variables. The hidden process near-miss data may be analyzed alone or in combination with other process data and/or data resulting from prior near-miss situations to permit strategic action to be taken to reduce or avert the occurrence of adverse incidents or catastrophic failure of a facility operation.
摘要翻译：由本发明提供的动态风险分析器（DRA）周期性地评估与诸如制造，生产或处理设施（包括工厂的操作）的操作现场相关联的实时或历史过程数据或二者，并且识别隐藏的这种操作接近失误，当实时过程数据显示为正常时。 DRA以使运营人员（包括设施管理）全面了解基于报警和非报警的过程变量的风险状态和变化的方式来评估过程数据。可能单独或与其他过程数据和/或由先前的接近缺失情况导致的数据相结合地分析隐藏过程近错误数据，以允许采取战略行动来减少或避免不利事件或灾难性故障的发生设施运作。

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