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1. 发明申请

WO2022046086A1 SYSTEM FOR LOGIC RULE INDUCTION ON KNOWLEDGE GRAPHS OF ENGINEERING SYSTEMS 审中-公开
公开(公告)号：WO2022046086A1
公开(公告)日：2022-03-03
申请号：PCT/US2020/048670
申请日：2020-08-31
申请人： SIEMENS AKTIENGESELLSCHAFT , SIEMENS CORPORATION
发明人： RAMAMURTHY, Arun , ZHANG, Yuyu , SRIVASTAVA, Sanjeev , DALLORO, Livio
IPC分类号： G06N3/04 , G06N5/02 , G06N3/08 , G06N5/04
摘要： System and method for logic rule formula induction on knowledge graphs for engineering system designs include receiving plurality of knowledge graphs for an engineering system. For a disconnected knowledge graph, agglomerative beam search is constrained to edges connected from node of interest, and candidate formulas are generated representing a respective edge found by the beam search engine, each formula constrained by a requirement of at least two arguments for defined formula chain length. Formula evaluation establishes whether each candidate formula is valid. Top ranked formulas are selected from the candidate formulas according to defined criteria. For well-connected graphs, a graph neural network is trained to predict first class for a query graph and second class for distractor graph. Counterfactual solver engine solves for minimum number of edits to query graph toward distractor graph which transforms predicted first class of the query graph to predicted second class.

2. 发明申请

WO2020162884A1 PARAMETER SUGGESTION SYSTEM 审中-公开
公开(公告)号：WO2020162884A1
公开(公告)日：2020-08-13
申请号：PCT/US2019/016640
申请日：2019-02-05
申请人： SIEMENS AKTIENGESELLSCHAFT , SIEMENS CORPORATION
发明人： GRUENEWALD, Thomas , MUSUVATHY, Suraj Ravi , SRIVASTAVA, Sanjeev , MIRABELLA, Lucia , DALLORO, Livio
IPC分类号： G06F17/50 , G06F3/023 , G06F3/0489 , G06F9/451
摘要： A system for aiding in the design of an engineered product includes a computer including a processor and a readable storage media having computer-executable instructions including at least one engineering program. An observer application is associated with the engineering program and is operable to monitor inputs to the computer made by a user to identify an observed pattern, a knowledge graph includes data related to the engineered product, and an explorer application searches the knowledge graph to find a stored pattern that corresponds to the observed pattern. An insighter application is operable to present a suggested parameter to the user based on the stored pattern.

3. 发明申请

WO2020146230A1 A WEB-BASED DIGITAL THREAD DRIVEN SUSTAINABLE MANUFACTURING VIA DIGITALLY-INTEGRATED, MULTI-LIFECYCLE PRODUCT DEVELOPMENT 审中-公开
公开(公告)号：WO2020146230A1
公开(公告)日：2020-07-16
申请号：PCT/US2020/012315
申请日：2020-01-06
申请人： SIEMENS CORPORATION
发明人： OKUNEV, Dmitriy , SRIVASTAVA, Sanjeev
IPC分类号： G06Q10/06 , G06Q50/04
摘要： A system and a method that enable a digital thread-driven sustainability design wherein a Digital Thread (DT) is proposed as a distributed enterprise software platform that is designed for managing lifecycle sustainability data of a product throughout its lifecycle. A digitally integrated total lifecycle product design using a Digital Thread model is provided that enables one to perform predictive computational modeling for multi-lifecycle product design. The Digital Thread enables a set of predictive computational modeling tools for total lifecycle product design optimization, simulation and uncertainty and risk analysis integrated to access data through the Digital Thread. A systematic approach for development and analysis of a lifecycle sustainability model of a designed product is provided. Also, a central repository concept or a single point of access to the lifecycle sustainability data is provided.

4. 发明申请

WO2019104304A1 ACCELERATED SIMULATION SETUP PROCESS USING PRIOR KNOWLEDGE EXTRACTION FOR PROBLEM MATCHING 审中-公开
公开(公告)号：WO2019104304A1
公开(公告)日：2019-05-31
申请号：PCT/US2018/062565
申请日：2018-11-27
申请人： SIEMENS INDUSTRY SOFTWARE NV , SIEMENS CORPORATION
发明人： MIRABELLA, Lucia , SRIVASTAVA, Sanjeev , DALLORO, Livio
IPC分类号： G06F17/50
CPC分类号： G06F17/5009
摘要： A system and method for accelerated simulation setup includes receiving a description of a new problem for simulation, extracting input data and output data of previous simulation results, generating a representation of data based on the extracted input data and output data, and quantifying similarities between the new problem and the extracted input data and output data to identify a candidate simulation for the new problem. A machine learning component infers a solution output for the new problem based on extrapolation or interpolation of outputs of the candidate simulation, thereby conserving resources by eliminating a simulation generation and execution. Alternatively, an efficient simulation setup can be generated using the queried knowledge, input variables, and input parameters corresponding to the candidate simulation.

5. 发明申请

WO2019018015A1 DECENTRALIZED PLANNING, SCHEDULING AND CONTROL OF MULTI-AGENT FLOW CONTROL SYSTEM 审中-公开
公开(公告)号：WO2019018015A1
公开(公告)日：2019-01-24
申请号：PCT/US2018/025877
申请日：2018-04-03
申请人： SIEMENS CORPORATION
发明人： SONG, Zhen , WU, Xiaofan , SRIVASTAVA, Sanjeev , NEPAL, Shaili
IPC分类号： G06Q10/06
摘要： Systems and methods are provided for generating a flow control plan for a plurality of components (535, 545, 540, 555) in a flow control system. A decentralized multiagent control framework is used to plan and schedule for each agent (550) independently without a central processor (101). Each agent (550) of the multi-agent control framework separately optimizes a local portion of the system as a function of values for one or more parameters. Agents (535, 545, 540, 555) communicate with other connected agents, sharing values for parameters. The communication provides a negotiation and consensus for values of the shared parameters that are used by the agent (550) to recalculate optimized parameters values for the local portion of the system.

6. 发明申请

WO2017136613A1 STRATEGIC IMPROVISATION DESIGN FOR ADAPTIVE RESILIENCE 审中-公开
标题翻译：适应性恢复的策略性改进设计
公开(公告)号：WO2017136613A1
公开(公告)日：2017-08-10
申请号：PCT/US2017/016322
申请日：2017-02-03
申请人： SIEMENS AKTIENGESELLSCHAFT , SIEMENS CORPORATION
发明人： MARTINEZ CANEDO, Arquimedes , MIRABELLA, Lucia , SRIVASTAVA, Sanjeev
IPC分类号： G06Q10/10 , G06Q10/06 , G06F17/30 , G05B13/04
CPC分类号： G06Q10/10 , G05B13/04 , G06F17/30734 , G06Q10/06375
摘要： A method for providing adaptive resilience to a system defined by physical components includes generating an ontology comprising objects. Each object corresponds to (i) functions performed by a discrete physical component of the system; (ii) behaviors of the discrete physical component; (iii) physical structures included in the discrete physical component; and (iv) events that impact usage of the discrete physical component. Relationships are added to the ontology for each physical component including aggregation relationships, composition relationships, and dependencies between the physical components. Sensor data is received from sensors monitoring the physical components. Based on the data, an event is identified that is impacting physical components performing a system function. The ontology's attributes and relationships are used to generate an alternate system design comprising physical components that are functionally equivalent to the impacted components with respect to the system function. Then, the alternate system design is sent to users.
摘要翻译：用于向由物理组件定义的系统提供适应性弹性的方法包括生成包括对象的本体。每个对象对应于（i）由系统的离散物理组件执行的功能; （ii）离散物理组件的行为; （iii）包含在离散物理组件中的物理结构; 和（iv）影响离散物理组件使用的事件。将关系添加到每个物理组件的本体，包括聚合关系，组合关系以及物理组件之间的依赖关系。从监控物理组件的传感器接收传感器数据。根据这些数据，识别出影响执行系统功能的物理组件的事件。本体的属性和关系用于生成包含物理组件的备用系统设计，这些物理组件在功能上等同于受影响的组件，与系统功能相关。然后，将备用系统设计发送给用户。

7. 发明申请

WO2021163282A1 DETAILED DESIGN SYSTEM FOR LATTICE STRUCTURES 审中-公开
公开(公告)号：WO2021163282A1
公开(公告)日：2021-08-19
申请号：PCT/US2021/017596
申请日：2021-02-11
申请人： SIEMENS AKTIENGESELLSCHAFT , SIEMENS CORPORATION
发明人： RAMAMURTHY, Arun , WILLIAMS, Reed , TANG, Tsz Ling Elaine , CHI, Heng , MIRABELLA, Lucia , SRIVASTAVA, Sanjeev , AMETA, Gaurav
IPC分类号： G06F30/20
摘要： Methods and systems are disclosed for a computer aided design (CAD) system that creates and analyzes program-based representations of complex lattice structures based on structured requirements and manufacturing constraints. The CAD system can include a program synthesis module configured to receive data that defines one or more requirements of a component. Based on the data, the program synthesis module can generate a virtual lattice structure as a set of descriptive codes including an initial kernel, a starting point in space, and a series of transformations for a repetitive reproduction of the initial kernel into the virtual lattice structure. In various examples, the CAD system includes virtual test beds configured to obtain manufacturing constraints related to the component. Based on the manufacturing constraints, the virtual test beds can test the virtual lattice structure to determine whether the component can be produced in accordance with the manufacturing constraints.

8. 发明申请

WO2020167316A1 MACHINE LEARNING-BASED GENERATIVE DESIGN FOR PROCESS PLANNING 审中-公开
公开(公告)号：WO2020167316A1
公开(公告)日：2020-08-20
申请号：PCT/US2019/018222
申请日：2019-02-15
申请人： SIEMENS AKTIENGESELLSCHAFT , SIEMENS CORPORATION
发明人： SRIVASTAVA, Sanjeev , GRUENEWALD, Thomas , GRIMM, Stephan , GOCEV, Pavel , DALLORO, Livio , HASELBÖCK, Alois , HAVUR, Giray , SMIRNOV, Denis , RINGSQUANDL, Martin , CAO, Dian Song
IPC分类号： G06N3/08 , G06N3/04 , G06N5/02 , G06N20/10 , G05B19/418 , G06Q10/06 , G06Q50/04
摘要： For manufacturing design by a machine-learned network (46), a machine-learned model (44) is trained to generate (13) a bill of process (BOP) given information from a bill of materials (BOM). Rather than rely on manual processes and associated problems, the machine-learned model (44) provides a BOP given a new product design that is described in the BOM. The machine-learned model (44) may more likely generate an optimized BOP by using a structured input in the form of a knowledge graph. Other machine-learned models (44) may be used, such as for generating (31) the knowledge graph and/or application for selecting from various possible BOPs.

9. 发明申请

WO2019183195A1 SYSTEM AND METHOD FOR COLLABORATIVE DECENTRALIZED PLANNING USING DEEP REINFORCEMENT LEARNING AGENTS IN AN ASYNCHRONOUS ENVIRONMENT 审中-公开
公开(公告)号：WO2019183195A1
公开(公告)日：2019-09-26
申请号：PCT/US2019/023125
申请日：2019-03-20
申请人： SIEMENS CORPORATION
发明人： CHALUPKA, Krzysztof , SRIVASTAVA, Sanjeev
IPC分类号： G06Q10/06
摘要： A method (300), and corresponding systems (400) and computer-readable mediums (426), for implementing a hierarchical multi-agent control system for an environment. A method (300) includes generating (306) an observation of an environment (104) by a first agent process (206) and sending (308) a first message (464) that includes the observation to a meta-agent process (202). The method includes receiving (312) a second message (464) that includes a goal (454), by the first agent process (206) and from the meta-agent process (202). The method includes evaluating (314) a plurality of actions (456), by the first agent process (206) and based on the goal (454), to determine a selected action (456). The method includes applying (316) the selected action (456) to the environment (104) by the first agent process (206).

10. 发明申请

WO2019112661A1 PREDICTING AND COMPENSATING FOR MANUFACTURING DISTORTION OF A DESIGNED GEOMETRY OF AN OBJECT 审中-公开
公开(公告)号：WO2019112661A1
公开(公告)日：2019-06-13
申请号：PCT/US2018/048307
申请日：2018-08-28
申请人： SIEMENS AKTIENGESELLSCHAFT , SIEMENS CORPORATION
发明人： TANG, Tsz Ling Elaine , MIRABELLA, Lucia , SRIVASTAVA, Sanjeev
IPC分类号： G06F17/50 , B29C64/393
CPC分类号： G06F17/5009 , B33Y50/00 , G06F2217/80
摘要： Systems, methods, and computer-readable media are described for determining and compensating for manufacturing distortion to a designed geometry of an object that is introduced by a physical manufacturing process that produces the object. The physical manufacturing process is simulated using the designed geometry of the object (e.g., a CAD model of the object) and associated manufacturing parameters (e.g., CAM instructions) to obtain a predicted manufactured shape of the object. A comparison of the predicted manufactured shape to the designed geometry is then performed to determine a deviation there between. The determined deviation is used to generate a pre-distortion geometry of the object that substantially compensates for the distortion in the original designed geometry of the object that is expected to be introduced by the manufacturing process. The physical manufacturing process can then be initiated based on the predistortion geometry of the object and updated manufacturing parameters associated therewith.

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