Siemens Aktiengesellschaft

Siemens Aktiengesell Schaft

Wen Jing Zhou

He Yu

Qi Wang

Hai Tao Zhang

Li Wang

Wei Sun

Teng Fei Wu

Yue Hua Zhang

Yang Wayne Wang

Yong Yuan

Jun Jie Chen

Xiao F Wang

The present disclosure relates to a method for configuring a priority level, a cloud platform, a system, a computing device, and a medium. The method for configuring a priority level for data on a cloud platform comprises determining the data type of received data; determining, according to the data type, a priority level specification used for describing a priority level of the received data; and calculating the priority level of the received data on the basis of the priority level specification of the received data.

Method for configuring priority level, cloud platform, system, computing device, and medium

Various embodiments include a method for deploying field device into an Internet of Things (IoT). The method may include: acquiring information from a field device using an edge device; transmitting the acquired information to a cloud platform; wherein the information comprises data and an industrial IoT model; converting the industrial IoT model into a graph; performing similarity analysis based on the graph; classifying the industrial IoT model based on the similarity analysis; generating a first industrial IoT model comprising a type or an example; performing data mapping on the first industrial IoT model; and operating the field device as part of the IoT.

Information acquiring method, apparatus, and system

Various embodiments described herein include an application program development and deployment method comprising: acquiring, from a code template library, a first code template matching a code structure of an application program to be developed; creating a template instance based on the first code template; filling a custom code input by a developer into the template instance to obtain a source program code matching said application program; compiling the source program code to obtain a target program code; acquiring a target operating environment mirror matching the target program code from an environment mirror library, wherein at least one operating environment mirror is stored in the environment mirror library, and different operating environment mirrors correspond to different operating environments; and deploying the target program code and the target operating environment mirror onto a target cloud platform.

Application program development and deployment method and apparatus, and computer-readable medium

Various embodiments of the teachings herein include a method for generating a virtual Internet-of-things device on the basis of an Internet-of-things model. The method may include: obtaining a first number of Internet-of-things models for an Internet-of-things solution; subjecting a variable in the first number of Internet-of-things models to variable attribute expansion to add an extended variable attribute to the variable, wherein the variable subjected to variable attribute expansion is capable of data simulation; configuring variable link relations and variable link processing rules for the extended Internet-of-things models to obtain an Internet-of-things model configuration file; and obtaining a second number of virtual Internet-of-things devices on the basis of a virtual physical network device architecture by using the Internet-of-things model configuration file. The variable link relations include variable link relations between variables in the same Internet-of-things model and/or variable link relations between variables in different Internet-of-things models.

Internet-of-things model-based virtual internet-of-things device generation method and apparatus

A field data transmission method comprises: a cloud platform determining at least one first device operation index be obtained via data analysis. For each first device operation index, the cloud platform generates control information for the first device operation index. The control information is used to determine a primary edge controller from among at least one edge controller, wherein the primary edge controller is used to send first field data to the cloud platform, the first field data is used for data analysis by the cloud platform to obtain the first device operation index, and the first field data is obtained by the primary edge controller preprocessing second field data. The cloud platform sends each piece of control information to each edge controller, respectively. The cloud platform receives first field data from each primary edge controller, respectively.

Field data transmission method, device and system, and computer-readable medium

The present disclosure provides a method and device for assessing a lifecycle of a component. In an embodiment, the method includes: obtaining, using a simulation device, model description information that corresponds to component models of some or all components in the production line; obtaining at least one piece of data information that is needed by at least one component model that corresponds to the model description information; performing event marking based on the event information on the obtained data information; obtaining component status information of a corresponding component of each model based on the marked data information; and generating a corresponding analysis report based on the component status information from. An advantage of an embodiment is that, a failure mode, a key module, and a measurement rule no longer rely on manual operations and experience of an expert. Instead corresponding information may be precisely provided by using a PLM system.

Method and device for estimating the lifecycle of a component

A system, a cloud platform, a device and a method are for configuring edge devices. The system includes one or more edge devices generating corresponding one or more field data; a controller connected to one or more edge devices to acquire one or more field data; and a cloud platform connected to the controller to configure one or more edge devices. The cloud platform includes a cloud platform receiving module receiving one or more field data from the controller; an asset database including one or more templates corresponding to the configuration data of one or more edge devices; and a configuration module configuring one or more edge devices according to one or more field data and the corresponding templates. A specific protocol is used, in at least one embodiment, to packetize the field data generated by edge devices and utilizes the corresponding templates and field data to configure edge devices.

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Wuxi, China

Wen Jing Zhou