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1. 发明申请

WO2017123367A1 PROGRAM RANDOMIZATION FOR CYBER-ATTACK RESILIENT CONTROL IN PROGRAMMABLE LOGIC CONTROLLERS 审中-公开
标题翻译：可编程逻辑控制器中的网络攻击弹性控制的程序随机化
公开(公告)号：WO2017123367A1
公开(公告)日：2017-07-20
申请号：PCT/US2016/066295
申请日：2016-12-13
申请人： SIEMENS AKTIENGESELLSCHAFT , SIEMENS CORPORATION
发明人： MARTINEZ CANEDO, Arquimedes
IPC分类号： G05B19/05 , G06F21/12
CPC分类号： G05B19/056 , G05B2219/13019 , G05B2219/13022 , G06F21/14 , G06F21/76
摘要： A method for programmable logic controller (PLC) program randomization, the method comprising an engineering system computer receiving source code corresponding to a PLC program and compiling the source code into a plurality of functionally equivalent intermediate representations of the PLC program. Program structure of the PLC program is randomized during compilation such that each intermediate representation is unique among the plurality of intermediate representations. The engineering system computer transmits the plurality of intermediate representations to one or more PLCs.
摘要翻译：一种用于可编程逻辑控制器（PLC）程序随机化的方法，所述方法包括工程系统计算机接收对应于PLC程序的源代码并且将所述源代码编译成多个功能等效的中间表示 PLC程序。 PLC程序的程序结构在编译期间被随机化，使得每个中间表示在多个中间表示中是唯一的。工程系统计算机将多个中间表示发送给一个或多个PLC。

2. 发明申请

WO2017082899A1 MODEL-BASED HUMAN MACHINE INTERFACE (HMI) 审中-公开
标题翻译：基于模型的人机界面（HMI）
公开(公告)号：WO2017082899A1
公开(公告)日：2017-05-18
申请号：PCT/US2015/060250
申请日：2015-11-12
申请人： SIEMENS AKTIENGESELLSCHAFT , SIEMENS CORPORATION
发明人： MARTINEZ CANEDO, Arquimedes , WANG, Lingyun
IPC分类号： G06F9/50
CPC分类号： G06F9/5044
摘要： A model-based human machine interface (HMI) system is provided. The HMI system includes a plurality of output devices each having output capabilities that include at least one unique output capability level and a semantics library that is configured to receive SUC component models each having an output format and data. The semantics library is configured to analyze the data relative to the SUC component models and to transmit each of the SUC component models to one or more of the plurality of output devices. The one or more of the plurality of output devices are selected based on a correlation between the output capabilities of the plurality of output devices and the output format of the SUC component models.
摘要翻译：提供基于模型的人机界面（HMI）系统。 HMI系统包括多个输出设备，每个输出设备具有包括至少一个唯一输出能力等级的输出能力和被配置为接收每个具有输出格式和数据的SUC组件模型的语义库。语义库被配置为分析与SUC组件模型相关的数据并且将SUC组件模型中的每一个传输到多个输出设备中的一个或多个。基于多个输出设备的输出能力与SUC组件模型的输出格式之间的相关性来选择多个输出设备中的一个或多个输出设备。

3. 发明申请

WO2021118580A1 COGNITIVE ENGINEERING GRAPH 审中-公开
公开(公告)号：WO2021118580A1
公开(公告)日：2021-06-17
申请号：PCT/US2019/066138
申请日：2019-12-13
申请人： SIEMENS AKTIENGESELLSCHAFT , SIEMENS CORPORATION
发明人： QUIROS ARAYA, Gustavo Arturo , MUENZEL, Georg , MARTINEZ CANEDO, Arquimedes , HEINDL, Elisabeth , NEIDIG, Jörg
IPC分类号： G05B13/00 , G06N5/02 , G06N20/00
摘要： A method for representing knowledge in a cognitive engineering system (CES) includes receiving information relating to an automation engineering project from an engineering tool, storing the received information in a cognitive engineering graph (CEG) storing a plurality of previously generated CEGs for previous automation engineering projects, and establishing a communication path between the CEG storing the received information and the plurality of previously generated CEGs. The method may further include applying machine learning to the stored CEG based on the received information and the stored plurality of previously generated CEGs. The machine learning may analyze the CEG to identify at least one pattern that is representative of a given object from the automation engineering project. The CES may automatically add an element to the CEG based on the received information and a query from a user. Further, the user may request a change made by the CES be reversed.

4. 发明申请

WO2021066796A1 MODELING HUMAN BEHAVIOR IN WORK ENVIRONMENTS USING NEURAL NETWORKS 审中-公开
公开(公告)号：WO2021066796A1
公开(公告)日：2021-04-08
申请号：PCT/US2019/053783
申请日：2019-09-30
申请人： SIEMENS AKTIENGESELLSCHAFT , SIEMENS CORPORATION
发明人： VANDEVENTER, Jason , MARTINEZ CANEDO, Arquimedes , DESHPANDE, Mayuri
IPC分类号： G06Q10/06
摘要： A system and method for modeling human behavior includes receiving, by a classifier module, sensor data from one or more sensors monitoring human behavior associated with a work task and to identify the type of human behavior based on a trained neural network. A prediction module receives the identified type of human behavior from the classifier and generates prediction data representing predicted next one or more human actions based on a time series of position vectors learned by the trained neural network. A rendering module translates the prediction data into a visual rendering for a virtual human simulation model.

5. 发明申请

WO2021034539A1 AUTOMATION ENGINEERING LEARNING FRAMEWORK FOR COGNITIVE ENGINEERING 审中-公开
公开(公告)号：WO2021034539A1
公开(公告)日：2021-02-25
申请号：PCT/US2020/045722
申请日：2020-08-11
申请人： SIEMENS AKTIENGESELLSCHAFT , SIEMENS CORPORATION
发明人： MARTINEZ CANEDO, Arquimedes , HUANG, Di , GOYAL, Palash
IPC分类号： G05B19/042 , G05B19/05 , G06F40/30 , G06N20/00
摘要： Applications of artificial intelligence (AI) in industrial automation have focused mainly on the runtime phase due to the availability of large volumes of data from sensors. Methods, systems, and apparatus that can use machine learning or artificial intelligence (AI) to complete automation engineering tasks are described herein.

6. 发明申请

WO2020027852A1 NEURAL LOGIC CONTROLLERS 审中-公开
公开(公告)号：WO2020027852A1
公开(公告)日：2020-02-06
申请号：PCT/US2018/045162
申请日：2018-08-03
申请人： SIEMENS AKTIENGESELLSCHAFT , SIEMENS CORPORATION
发明人： MARTINEZ CANEDO, Arquimedes , BANK, Hasan Sinan , LUDWIG, Hartmut
IPC分类号： G06N3/10 , G06N3/063 , G06F9/54
摘要： A method for executing a machine learning model with a controller includes a processor within the controller writing input values to a process image within the controller. The term process image refers to a predefined address space within volatile memory of the controller. A co-processor connected to the controller reads the input values from the process image and applies a machine learning model to the input values to generate output values. The co-processor writes output values to the process image and the processor reads those output values from the process image. The process can then execute an application program that utilizes the one or more output values.

7. 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。

8. 发明申请

WO2015080764A1 OFFLOADING HUMAN-MACHINE-INTERACTION TASKS 审中-公开
标题翻译：卸载人机交互任务
公开(公告)号：WO2015080764A1
公开(公告)日：2015-06-04
申请号：PCT/US2014/037229
申请日：2014-05-08
申请人： SIEMENS AKTIENGESELLSCHAFT , SIEMENS CORPORATION
发明人： WANG, Lingyun , MARTINEZ CANEDO, Arquimedes , STROBEL, Holger
IPC分类号： G05B19/406
CPC分类号： G06F9/5088 , G05B19/409 , G05B19/41835 , G05B2219/23149 , G05B2219/31264 , G05B2219/31476
摘要： In an industrial automation environment, a three-tier architecture is used to offload human-machine-interaction (HMl) automation tasks to local mobile devices and then the cloud, to take advantage of distributed computing and processing resources and to add new features to the HMl panel system, A scheduling algorithm based on the characteristics of the HMl tasks distributes these tasks intelligently among the local HMl panel, mobile devices and the cloud, to best utilize the merits of each tier.
摘要翻译：在工业自动化环境中，使用三层架构将人机交互（HMI）自动化任务卸载到本地移动设备，然后将云，利用分布式计算和处理资源，并将新功能添加到 HM1面板系统，基于HMl任务特性的调度算法在本地HM1面板，移动设备和云中智能地分配这些任务，以最好地利用每层的优点。

9. 发明申请

WO2022231605A1 AUTOMATIC ARRANGEMENT OF HMI SCREENS 审中-公开
公开(公告)号：WO2022231605A1
公开(公告)日：2022-11-03
申请号：PCT/US2021/030044
申请日：2021-04-30
申请人： SIEMENS AKTIENGESELLSCHAFT , SIEMENS CORPORATION
发明人： MARTINEZ CANEDO, Arquimedes , WANG, Lingyun
IPC分类号： G06F8/38 , G06F8/10 , G06N3/04 , G06N3/08
摘要： HMI screens are typically manually engineered or arranged. For example, HMI screens can include various elements, and an engineer often arranges the HMI elements on a given HMI screen, for instance one by one, until the final design of the HMI screen is complete. It is recognized herein that existing approaches to designing and arranging HMI screens lack efficiency, and can be tedious and redundant. Method, systems, and apparatuses described herein can automatically arrange elements of human-machine interface (HMI) screens. In an example aspect, a computing system includes a deep learning model, for instance an autoencoder or a generative adversarial network (GAN), configured to learn and design HMI screen arrangements.

10. 发明申请

WO2022182325A1 DISCOVER MATCH USE (DMU) AUTOMATION SYSTEM 审中-公开
公开(公告)号：WO2022182325A1
公开(公告)日：2022-09-01
申请号：PCT/US2021/019149
申请日：2021-02-23
申请人： SIEMENS AKTIENGESELLSCHAFT , SIEMENS CORPORATION
发明人： MARTINEZ CANEDO, Arquimedes , LUDWIG, Hartmut , WANG, Lingyun , ERSCH, Florian
IPC分类号： G05B19/418
摘要： Industrial automation systems are often inflexible, which can result in delays that are costly and inconvenient. In particular, it is recognized herein that the engineering phase of automation system implementation currently represents a significant portion of the overall cost of an automation system. As described herein, automation system configurations can be automatically generated. For example, a discover match use (DMU) system described herein can reduce engineering time while providing design flexibility.

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