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11. 发明申请

WO2015164292A1 FLEXIBLE CONTROL ARCHITECTURE FOR MICROGRID RESILIENCY 审中-公开
标题翻译：灵活控制架构的微观结构
公开(公告)号：WO2015164292A1
公开(公告)日：2015-10-29
申请号：PCT/US2015/026740
申请日：2015-04-21
申请人： SIEMENS AKTIENGESELLSCHAFT , SIEMENS CORPORATION
发明人： SRIVASTAVA, Sanjeev , SURESH, Sindhu , BRUSCHI, Paul J. , WEI, Dong , PATRE, Parag , XUE, Yaosuo
IPC分类号： H02J3/00
CPC分类号： H02J13/0006 , G05F1/66 , H02J3/381 , H02J3/383 , H02J3/46 , H02J2003/007 , H02J2003/388 , Y02B70/3216 , Y02E40/72 , Y04S10/12 , Y04S20/221
摘要： A flexible control architecture for an electrical power microgrid provides resiliency when operating under varying threat levels. The architecture includes a microgrid control layer, an intermediate layer and a component control layer. A contingency level is computed based on conditions of the microgrid such as weather and system state. When the contingency level indicates a low degree of threat, the system operates in a centralized, top-down control configuration. When the contingency level indicates a high degree of threat, the system operates in a decentralized control configuration with the microgrid control layer performing only a monitoring function.
摘要翻译：用于电力微电网的灵活控制架构在以不同的威胁级别运行时提供弹性。该架构包括微电网控制层，中间层和组件控制层。应急水平是根据微电网条件计算的，如天气和系统状态。当应变等级表示低度威胁时，系统以集中式，自顶向下的控制配置运行。当应急等级表示高度的威胁时，系统将在分布式控制配置中运行，而微电网控制层仅执行监控功能。

12. 发明申请

WO2020056107A1 AUTOMATED SIMULATION PIPELINE FOR FAST SIMULATION DRIVEN COMPUTER AIDED DESIGN 审中-公开
公开(公告)号：WO2020056107A1
公开(公告)日：2020-03-19
申请号：PCT/US2019/050773
申请日：2019-09-12
申请人： SIEMENS AKTIENGESELLSCHAFT , SIEMENS CORPORATION
发明人： MIRABELLA, Lucia , DALLORO, Livio , SRIVASTAVA, Sanjeev , TANG, Tsz Ling Elaine
IPC分类号： G06F17/50 , G06N3/02 , G06N5/00
摘要： A computer aided design system for simulation driven design of a three-dimensional (3D) object includes a boundary condition extraction module that extracts a set of boundary conditions for each of a plurality of various known designs of 3D objects related to a new design for a proposed 3D object and generates a set of design independent boundary conditions representative of typical usage of the known designs. Design exploration module generates a plurality of design candidates for the new design. Morphing module transforms design independent boundary conditions into design specific boundary conditions for each of the design candidates. Performance prediction module includes a neural network model trained to predict performance of each design candidate based on learning from prior simulation results of known designs, and generates a set of key performance indicators for each design candidate. A best design choice is selected from the design candidates based on the key performance indicators.

13. 发明申请

WO2020055659A1 GENERATION AND UTILIZATION OF SELF-IMPROVING DATA-DRIVEN MODELS WITH SELECTIVE SIMULATION OF 3D OBJECT DESIGN 审中-公开
公开(公告)号：WO2020055659A1
公开(公告)日：2020-03-19
申请号：PCT/US2019/049714
申请日：2019-09-05
申请人： SIEMENS AKTIENGESELLSCHAFT , SIEMENS CORPORATION
发明人： MIRABELLA, Lucia , SRIVASTAVA, Sanjeev , MUSUVATHY, Suraj Ravi
IPC分类号： G06F17/50
摘要： Methods and systems are disclosed for computer aided design using self-improving data-driven models with selective simulation of a three-dimensional object design. A simulation engine executes a three-dimensional simulation of a designed object for a design point. A classifier engine executes a first neural network to predict whether the design point for a 3D simulation will successfully be executed by the 3D simulation engine to produce a computed key performance indicator (KPI) value. A surrogate model engine executes a second neural network representation of a surrogate model to compute KPI values corresponding to a new design point while bypassing a simulation by the simulation engine.

14. 发明申请

WO2019182755A1 UNIFIED DEEP BAYESIAN NETWORK GENERATION FOR SYSTEM MODELING 审中-公开
公开(公告)号：WO2019182755A1
公开(公告)日：2019-09-26
申请号：PCT/US2019/021067
申请日：2019-03-07
申请人： SIEMENS AKTIENGESELLSCHAFT , SIEMENS CORPORATION
发明人： MIRABELLA, Lucia , SRIVASTAVA, Sanjeev , CHALUPKA, Krzysztof
IPC分类号： G06N3/04 , G06N3/08 , G06N7/00
摘要： Examples of techniques for unified deep Bayesian network generation for system modeling are described herein. An aspect includes determining a unified failure modes and effect analysis (FMEA) model based on a plurality of FMEA models of an overall system, wherein the overall system comprises a plurality of domains, and wherein the plurality of FMEA models each corresponds to a respective domain of the plurality of domains. Another aspect includes determining a cross-domain Bayesian network based on the unified FMEA model. Another aspect includes determining a unified deep Bayesian network based on the cross-domain Bayesian network, wherein one or more relationships in the unified deep Bayesian network comprise neural networks. Another aspect includes training the neural networks in the unified deep Bayesian network using training data corresponding to the overall system. Yet another aspect includes determining an overall system model based on the trained unified deep Bayesian network.

15. 发明申请

WO2019103778A1 MISSING LABEL CLASSIFICATION AND ANOMALY DETECTION FOR SPARSELY POPULATED MANUFACTURING KNOWLEDGE GRAPHS 审中-公开
公开(公告)号：WO2019103778A1
公开(公告)日：2019-05-31
申请号：PCT/US2018/049159
申请日：2018-08-31
申请人： SIEMENS AKTIENGESELLSCHAFT , SIEMENS CORPORATION
发明人： REN, Guannan , SRIVASTAVA, Sanjeev , ARISOY, Erhan
IPC分类号： G06N5/02 , G06N5/00
CPC分类号： G06N5/022 , G06F16/215 , G06N5/003
摘要： Systems, methods, and computer-readable media are described for identifying missing or mislabeled information in a manufacturing knowledge graph. Example embodiments address the technical challenge of sparsity of information in the manufacturing domain by using a collection of prior stored manufacturing knowledge graphs to learn latent representations present within the stored graphs through localized traversals of the stored graphs using a graph traversal technique such as a random walk traversal. The latent representations of the stored manufacturing knowledge graphs correspond to an encoding of the stored manufacturing knowledge graphs as a collection of encoded manufacturing knowledge graphs, which are compared to an encoded new manufacturing knowledge graph to identify a stored manufacturing knowledge graph that is most structurally similar to the new manufacturing knowledge graph. This most similar manufacturing knowledge graph can then be used to identify missing or mislabeled information in the new manufacturing knowledge graph.

16. 发明申请

WO2018175118A1 BUILDING ENERGY SPLIT CALCULATION AND VISUALIZATION 审中-公开
公开(公告)号：WO2018175118A1
公开(公告)日：2018-09-27
申请号：PCT/US2018/021523
申请日：2018-03-08
申请人： SIEMENS CORPORATION
发明人： SONG, Zhen , SRIVASTAVA, Sanjeev , ZHENG, Xianjun S.
IPC分类号： F24F11/63 , F24F11/46 , F24F11/52 , F24F11/00 , G05D23/19 , G05B15/02
摘要： A computer-implemented method of splitting whole building energy consumption includes collecting sensor data from a plurality Variable Air Volume (VAV) boxes in a building, an electric meter in the building, and a gas meter in the building. The total heating energy consumption is split across a plurality of zones within the building using the sensor data, thereby yielding heating energy consumption for each zone. The total cooling energy consumption is split across the plurality of zones using the sensor data, thereby yielding cooling energy consumption for each zone and the total ventilation energy consumption is split across the plurality of zones using the sensor data, thereby yielding ventilation energy consumption for each zone. Zone energy consumption by aggregating the heating energy consumption for the zone, the cooling energy consumption for the zone, and the ventilation energy consumption for the zone.

17. 发明申请

WO2017106293A2 DYNAMIC DESIGN OF COMPLEX SYSTEM-OF-SYSTEMS FOR PLANNING AND ADAPTATION TO UNPLANNED SCENARIOS 审中-公开
标题翻译：用于计划和适应未知情景的复杂系统体系的动态设计
公开(公告)号：WO2017106293A2
公开(公告)日：2017-06-22
申请号：PCT/US2016/066580
申请日：2016-12-14
申请人： SIEMENS AKTIENGESELLSCHAFT , SIEMENS CORPORATION
发明人： MARTINEZ CANEDO, Arquimedes , MIRABELLA, Lucia , SRIVASTAVA, Sanjeev
CPC分类号： G06Q10/04 , G06Q10/0631 , G06Q10/0635
摘要： A computer-implemented method for designing a system-of-systems for adaptation to unplanned scenarios includes receiving a plurality of sensor outputs and consolidating the plurality of sensor outputs into a current system status report. Next, in response to detection of a new unplanned need, currently available system resources are identified. An abstract description of a system-of-systems is updated based on the currently available system resources. Using the abstract description of the system-of-systems, feasible solutions are determined that could satisfy the new unplanned need. Each feasible solution comprises instructions for using resources included in the system-of-systems. A simulation network comprising a plurality of simulation models is generated based on the abstract description of the system-of-systems. Then, the simulation network is used to select one of the plurality of feasible solutions.
摘要翻译：计算机实现的用于设计用于适应未计划场景的系统的方法包括接收多个传感器输出并且将多个传感器输出整合到当前系统状态报告中。接下来，响应于检测到新的计划外需求，识别当前可用的系统资源。系统系统的抽象描述根据当前可用的系统资源进行更新。使用系统系统的抽象描述，确定可行的解决方案，以满足新的计划外需求。每个可行的解决方案包括使用包含在系统中的资源的指令。基于系统系统的抽象描述来生成包括多个仿真模型的仿真网络。然后，使用仿真网络来选择多个可行解决方案中的一个。

18. 发明申请

WO2017083134A1 ZONAL DEMAND CONTROL VENTILATION FOR A BUILDING 审中-公开
标题翻译：建筑物的分区需求控制通风
公开(公告)号：WO2017083134A1
公开(公告)日：2017-05-18
申请号：PCT/US2016/059854
申请日：2016-11-01
申请人： SIEMENS AKTIENGESELLSCHAFT , SIEMENS CORPORATION
发明人： OKUNEV, Dmitriy , SRIVASTAVA, Sanjeev , SONG, Zhen , WANG, Lingyun
IPC分类号： F24F3/00 , F24F11/00 , F24F3/06
CPC分类号： F24F11/0001 , F24F3/00 , F24F3/0442 , F24F3/06 , F24F11/30 , F24F11/46 , F24F11/58 , F24F11/62 , F24F11/63 , F24F2011/0002 , F24F2110/10 , F24F2110/50 , F24F2110/70 , F24F2120/10 , Y02B30/767
摘要： A method for operating an air handling unit of an HVAC system. The method includes opening an outside air flow control device to enable breathing air flow during a high outdoor air time period to a first zone having a first number of occupants and a second zone having a second number of occupants that is less than the first number of occupants. The outside air flow control device is then closed to enable conditioning air flow during a low outdoor air time period to the first and second zones. Further, a variable air volume (VAV) air flow control device provides desired amounts of breathing air to the first and second zones suitable for the first and second number of occupants, respectively. A VAV air temperature control device then provides conditioning air to the first and second zones having a suitable temperature for the first and second number of occupants.
摘要翻译：一种用于操作HVAC系统的空气处理单元的方法。该方法包括打开外部空气流量控制装置以使得在室外空气高时间段期间呼吸空气流动到具有第一数量的乘员的第一区域和具有第二数量的乘员的第二区域，该第二数量的乘员小于第一数量的乘客。然后关闭外部空气流量控制装置，以在第一和第二区域的低室外空气时间段期间启用调节空气流动。此外，可变空气量（VAV）空气流量控制装置分别向适用于第一和第二数量的乘员的第一和第二区域提供期望量的呼吸空气。 VAV空气温度控制装置然后向第一和第二区域提供调节空气，该第一和第二区域对于第一和第二数量的乘客具有合适的温度。

19. 发明申请

WO2016118682A1 OPTIMIZED PARTITIONING OF SOLID 3D MODELS FOR ADDITIVE MANUFACTURING 审中-公开
标题翻译：用于添加剂制造的固体3D模型的优化分区
公开(公告)号：WO2016118682A1
公开(公告)日：2016-07-28
申请号：PCT/US2016/014208
申请日：2016-01-21
申请人： SIEMENS CORPORATION
发明人： ARISOY, Erhan , DALLORO, Livio , MIRABELLA, Lucia , MUSUVATHY, Suraj Ravi , SRIVASTAVA, Sanjeev
IPC分类号： B29C67/00 , G06F17/50
CPC分类号： G06F17/5086 , B33Y50/00
摘要： A method of partitioning a model to facilitate printing of the model on a 3D printer includes identifying partition sensitive locations on the model and creating a binary tree with a root note representative of the model. An iterative partitioning process is applied to divide the model into objects by selecting a node of the binary tree without any children nodes, identifying a portion of the model corresponding to the node, and determining candidate cutting planes on the portion of the model based on the partition sensitive locations. During the process, analytic hierarchical processing (AHP) is applied to select an optimal cutting plane from the candidate cutting planes based on partitioning criteria. The optimal cutting plane is used to segment the portion of the model into sub-portions, and two children nodes representative of these subportions are created on the node of the binary tree.
摘要翻译：划分模型以便于在3D打印机上打印模型的方法包括识别模型上的分区敏感位置并创建具有代表该模型的根音符的二叉树。应用迭代分割过程，通过选择没有任何子节点的二叉树节点，识别对应于节点的模型的一部分，以及基于模型的部分确定候选切割平面来将模型划分为对象分区敏感位置。在此过程中，应用分层分层处理（AHP），根据划分标准从候选切割平面中选择最佳切割平面。最佳切割平面用于将模型的部分分割成子部分，并且在二叉树的节点上创建代表这些子部分的两个子节点。

20. 发明申请

WO2022051236A1 SYSTEM AND METHOD TO AUTOMATICALLY GENERATE AND OPTIMIZE RECYCLING PROCESS PLANS FOR INTEGRATION INTO A MANUFACTURING DESIGN PROCESS 审中-公开
公开(公告)号：WO2022051236A1
公开(公告)日：2022-03-10
申请号：PCT/US2021/048313
申请日：2021-08-31
申请人： SIEMENS CORPORATION
发明人： TYLKA, Joseph , MARTINEZ CANEDO, Arquimedes , SRIVASTAVA, Sanjeev , GOYAL, Kashish , BREU, Annemarie
IPC分类号： G06F30/20 , G06F119/20
摘要： System and method optimize recyclability of an electronic device during manufacturing design. A manufacturing design software produces engineering bill of materials, manufacturing bill of materials, and bill of process for the manufacturing design. Recycling process plan engine constructs a recycling process plan for the electronic device according to the manufacturing design. A virtual model of recycling processes is constructed by mapping needed skills to corresponding recycling equipment using a library of recycling equipment information. Recycling process plan engine uses the virtual model to simulate the recycling plan and optimizes each recycling process, and the overall sequence of recycling processes, according to an objective function. Evaluator module receives key performance indicator values from a virtual model simulation and calculates the value of the objective function based on key performance indicators. Recycling plan is optimized by iteration of simulating the process and varying parameters to most improve the objective function.

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