公开(公告)号：WO2018138205A1

公开(公告)日：2018-08-02

申请号：PCT/EP2018/051839

申请日：2018-01-25

Applicant: SIEMENS AKTIENGESELLSCHAFT

Inventor： WANG, Qi ,  YUAN, Yong ,  DONG, Ming Kai ,  ZHANG, Rui Guo ,  YU, Ming ,  CAO, Jing ,  ZHANG, Zhen ,  ZHANG, Ming

IPC: G06F17/30

CPC classification number: G06F16/33 ,  G06F16/3334 ,  G06F16/335 ,  G06F16/36

Abstract: The present invention provides a model search method based on a semantic model framework, including: a buffering step of buffering and analyzing model query information of a user and buffering relative knowledge; and a query step of querying a model in a buffer, an index, and a data library, comparing a model queried by the user and the model queried in the buffer, the index, and the data library, ranking relative models, returning a ranking result as a search result, and sending the search result to the user. According to the model search method and device based on a semantic model framework provided in the present invention, search for a relative model may be performed at a high response speed, and particularly this is quite practical in a recommendation process in modeling. According to the present invention, query, analysis, and the search result can be provided to buffer the relative knowledge, so as to ensure rapid search in modeling. According to the present invention, self-extension can be performed under the semantic model framework, that is, new knowledge having no classification information is incorporated into the semantic model framework.

公开(公告)号：WO2021032294A1

公开(公告)日：2021-02-25

申请号：PCT/EP2019/072346

申请日：2019-08-21

Applicant: SIEMENS AKTIENGESELLSCHAFT

Inventor： ROSEN, Roland ,  SOHR, Annelie ,  WEHRSTEDT, Jan Christoph ,  YU, Ming

IPC: G01M3/28 ,  G06F30/13 ,  G06Q50/06

Abstract: The invention relates to a computer-implemented method for sensor positioning for leak detection in a water network. Based on a hydraulic simulation (HS), total sensor sensitivities (TS1, TS2, …, TSN) to modelled leaks (L1, L2, …, LN) for modelled leak detection sensors are determined wherein for a respective modelled leak (L1, L2, …, LN), sensor sensitivities (S1, S2, …, SN) to said leak are determined, these sensor sensitivities are sorted and respective modified sensor sensitivities (mS1, mS2, …, mSN) are generated based on the respective sorting index, and, for a respective leak detection sensor, a total sensor sensitivity (TS1, TS2, …, TSN) is calculated by combining the respective modified sensor sensitivities (mS1, mS2, …, mSN). Based on the respective total sensor sensitivity at least one modelled sensor is selected, and its respective sensor position is exported for positioning of a real leak detection sensor in the water network.

公开(公告)号：WO2020020443A1

公开(公告)日：2020-01-30

申请号：PCT/EP2018/070027

申请日：2018-07-24

Applicant: SIEMENS AKTIENGESELLSCHAFT

Inventor： WANG, Xiao Feng ,  YUAN, Yong ,  YU, Ming

IPC: G06F8/10 ,  G06F8/61

Abstract: The present invention provides a semantics-based Internet of Things (IOT) device data processing-related application installation method and apparatus, comprising the following steps : a receiving and analysis step: receiving a data processing demand from a client, retrieving, from an industrial cloud, at least one application which needs to be installed for fulfilment of the data processing demand, and analysing required source data and an installation demand of the application; an analysis and determining step: analysing at least one device end capable of providing the source program in the IOT, and thereby determining whether the device meets the installation demand of the application and provides the required source data; an installation step: installing the application in a gateway corresponding to the device end, when the device end is able to meet the installation demand of the application. The present invention can install, for the device end of the industrial IOT, the application needed for fulfilment of the client data processing demand, on the basis of a semantic model.