公开(公告)号：US20180081972A1

公开(公告)日：2018-03-22

申请号：US15268647

申请日：2016-09-19

Applicant: SAP SE

Inventor： Ramana Mohanbabu ,  Abhinav Kumar ,  Vikas Rohatgi ,  Aarti Bijlani

IPC: G06F17/30 ,  H04L29/06

CPC classification number: H04L63/0876 ,  H04L63/08 ,  H04W4/38 ,  H04W4/70

Abstract: Various embodiments of systems and methods for filtering and processing data related to internet of things are described herein. The method includes reading data from a sensor coupled to a device. The sensor collects data in real time. The read data is correlated within the device based upon a time the data is collected by the sensor. One or more predefined events are evaluated on the correlated data within the device. An output including the correlated data satisfying the condition specified in the one or more predefined events is generated by the device. The generated output is stored within the device, sent to cloud or a server for further storage and analysis, used for controlling actuations of one or more actuators, and is used for initiating a workflow for starting one or more repair actions for the device.

公开(公告)号：US20230259859A1

公开(公告)日：2023-08-17

申请号：US17672239

申请日：2022-02-15

Applicant: SAP SE

Inventor： Ramana Mohanbabu ,  Rupert Lange ,  Stefan Feickert

IPC: G06Q10/06

CPC classification number: G06Q10/06375 ,  G06Q10/06393

Abstract: Systems and processes for generating and managing derivation definitions for calculating sustainability footprints are provided. In a method for generating derivation definitions for calculating footprints, inputs, rulesets, and/or coded processes are determined for the derivation definition. A sequence order for applying the rulesets and/or coded processes is determined for the derivation definition, and the derivation definition is stored in a repository for selection to calculate sustainability footprints.

公开(公告)号：US20240078215A1

公开(公告)日：2024-03-07

申请号：US17902990

申请日：2022-09-05

Applicant: SAP SE

Inventor： Swarnava Chatterjee ,  Nisheeth Agarwal ,  Ramana Mohanbabu ,  Stefan Feickert ,  Himanshu Goyal

IPC: G06F16/21 ,  G06F16/2457 ,  G06F16/248 ,  G06F16/28 ,  G06N5/02

CPC classification number: G06F16/211 ,  G06F16/24578 ,  G06F16/248 ,  G06F16/285 ,  G06N5/022

Abstract: Intelligent mapping from created item information to sustainability reference content from a variety of sources can be implemented to facilitate created item footprint management and other sustainability applications. The difficult task of finding appropriate emission factors across a portfolio can be automated. Assisted search can be implemented using enhanced search techniques. Fallback mappings can be implemented to accommodate different levels of granularity during search. A machine learning model can be trained based on a variety of input data, including confirmed mappings, mapping history, and rules. The process of mapping to emission datasets can thus be simplified, enabling footprint calculations to proceed.

公开(公告)号：US20230061787A1

公开(公告)日：2023-03-02

申请号：US17458159

申请日：2021-08-26

Applicant: SAP SE

Inventor： Stefan Feickert ,  Rupert Lange ,  Ramana Mohanbabu ,  Frank Oliver Hoffmann ,  Arkadiy Syamtomov ,  Ranjit Alapati ,  Nisheeth Agarwal ,  Swarnava Chatterjee

IPC: G06Q10/06 ,  G06Q30/00 ,  G06F16/28

Abstract: Systems and processes for calculating sustainability footprints and controlling associated systems are provided herein. Activity data may be received for an organization, and emissions factors may be determined for the activity data. Absolute, relative, and/or average relative footprints may be calculated for the organization based on the activity data and the emissions factors. An indication of the absolute, relative, and/or average relative footprints may be generated for display on a graphical user interface of a computing device.