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公开(公告)号：US20150278407A1
公开(公告)日：2015-10-01
申请号：US14473394
申请日：2014-08-29
Applicant: HITACHI, LTD.
Inventor： Ravigopal VENNELAKANTI , Umeshwar DAYAL , Chetan GUPTA
CPC classification number: E21B43/00 , E21B44/00 , E21B49/003
Abstract: A management server is coupled to a plurality of rig systems by a network, each of the rig systems having a plurality of sensors, a rig and a rig node. The management server stores data received from at least one of the plurality of rig systems, the data including values associated with one or more attributes of the rig. The management server derives a model signature for at least one phase from a timeline for at least one rig system based on analytics of information stored in the database and the data, where the model signature includes a set of attributes for the at least one of the plurality of rig systems. In addition, the management server generates a recommendation including one or more actions for planning rig system management operations corresponding to at least one attribute of the set of attributes.
Abstract translation: 管理服务器通过网络耦合到多个钻机系统，每个钻机系统具有多个传感器，钻机和钻机节点。 管理服务器存储从多个钻机系统中的至少一个接收的数据，该数据包括与钻机的一个或多个属性相关联的值。 管理服务器基于对存储在数据库中的信息的分析和数据，为至少一个钻机系统的时间线中的至少一个阶段导出模型签名，其中模型签名包括用于至少一个钻机系统的至少一个的属性集合 多台钻机系统。 此外，管理服务器生成包括用于规划钻机系统管理操作的一个或多个动作的建议，该操作对应于所述一组属性的至少一个属性。
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公开(公告)号：US20220327652A1
公开(公告)日：2022-10-13
申请号：US17225795
申请日：2021-04-08
Applicant: Hitachi, Ltd.
Inventor： Malarvizhi SANKARANARAYANASAMY , Ramyar SAEEDI , Rahul VISHWAKARMA , Prasun SINGH , Ravigopal VENNELAKANTI
Abstract: Systems and methods described herein can involve establishing a blockchain network between a plurality of organizations, each organization representing a different mode of transport and/or transit oriented service providers; deriving multi-modal features from first data sources of the plurality of organizations in the blockchain and second data sources off the blockchain; constructing a multi-modal network that integrates the different mode of transports from the plurality of organizations from the derived multi-modal features; executing smart contracts between the plurality of organizations across the blockchain in accordance with service level agreements generated from reinforcement learning through the multi-modal model derived from the multi-modal network; and providing, through a micro-application, access to multi-modal transportation services based on the executed smart contracts.
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公开(公告)号：US20220114381A1
公开(公告)日：2022-04-14
申请号：US17066121
申请日：2020-10-08
Applicant: Hitachi, Ltd.
Inventor： Yuki WATANABE , Ravigopal VENNELAKANTI
Abstract: In example implementations described herein, person images obtained by object detection and tracking are stored in an image database. Then the system automatically samples a person image as a query of image search for past images. Filtering is performed on the search results to extract a person images having a similarity higher than certain threshold. Travel time is calculated by sorting information (camera identifier, time) attached to person images on a timeline, and the system detects gap between periods that the person appears in frame.
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公开(公告)号：US20240249375A1
公开(公告)日：2024-07-25
申请号：US18100981
申请日：2023-01-24
Applicant: Hitachi, Ltd.
Inventor： Malarvizhi SANKARANARAYANASAMY , Ravigopal VENNELAKANTI , Prasun Kumar SINGH , Ramyar SAEEDI , Rahul VISHWAKARMA , Shouchun PENG
IPC: G06Q50/30 , G06Q10/0637
CPC classification number: G06Q50/30 , G06Q10/0637 , G06Q10/0631
Abstract: In example implementations described herein, there are systems and methods for providing service partner recommendations in a transportation network associated with a plurality of transit-oriented service providers. The systems and method may include receiving a request for a service related to at least one aspect of the transportation network; obtaining information regarding a current state of the transportation network, where the information regarding the current state of the transportation network includes a set of service-preference parameters for the plurality of transit-oriented service providers; generating, based on an analysis of the request for the service and the information regarding the current state of the transportation network, a set of recommended partners and a set of recommended agreement parameters; and outputting the set of recommended partners and the set of recommended agreement parameters to at least one service provider in the plurality of transit-oriented service providers for acceptance.
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公开(公告)号：US20210019910A1
公开(公告)日：2021-01-21
申请号：US16515804
申请日：2019-07-18
Applicant: Hitachi, Ltd.
Inventor： Nam HUYN , Ravigopal VENNELAKANTI
Abstract: Example implementations described herein are directed to a solution to the problem of accurate real-time inventory counting and industrial inspection. The solution, involves a device such as a mobile device that assists a human operator on the field to quickly achieve high quality inspection results. The example implementations detect objects of interest in individual image snapshots and use location and orientation sensors to integrate the snapshots to reconstruct a more accurate virtual representation of the inspection area. This representation can then be reorganized in various ways to derive inventory counts and other information that are not planned originally.
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Patent Agency Ranking
公开(公告)号：US20250022273A1
公开(公告)日：2025-01-16
申请号：US18221766
申请日：2023-07-13
Applicant: HITACHI, Ltd.
Inventor： Rahul VISHWAKARMA , Ravigopal VENNELAKANTI , Nam HUYN , Masato TAMURA , Malarvizhi SANKARANARAYANASAMY
Abstract: Systems and methods for summarizing an infrastructure surface inspection video, which can involve processing frames of the infrastructure surface inspection video through a spatial in-frame process configured to conduct feature and text extraction on the frames on detected observations, the extracted features and text used to generate spatial metadata; processing the frames of the infrastructure surface inspection video through a temporal cross-frame process configured to detect changes across sequences of the frames including the spatial metadata, the temporal cross-frame process configured to generate temporal metadata encapsulating the detected changes; and processing the frames of the infrastructure surface inspection video through an activity decision process configured to intake the spatial metadata and temporal metadata to detect and track structural features or defects of interest as activity in the infrastructure surface inspection video and generate summary metadata from the spatial metadata, temporal metadata, and detected segments of interest.
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公开(公告)号：US20240355196A1
公开(公告)日：2024-10-24
申请号：US18137928
申请日：2023-04-21
Applicant: HITACHI, Ltd.
Inventor： Ramyar SAEEDI , Malarvizhi SANKARANARAYANASAMY , Rahul VISHWAKARMA , Prasun SINGH , Shouchun PENG , Ravigopal VENNELAKANTI
CPC classification number: G08G1/0125 , G01C21/32 , G01S19/42
Abstract: A method for demand estimation. The method may include collecting people flow data from a network of a plurality of sensors within an area of interest, wherein each sensor of the plurality of sensors is associated with a user device; processing the people flow data to generate movement trajectories; mapping the movement trajectories to existing transportation network; aggregating the movement trajectories associated with the network of the plurality of sensors to estimate movement flow density; for the people flow data representing less than entire population of the area of interest, performing data simulation to rescale the movement flow density; classifying the people flow data into different transportation types; and generating flow-demand matching by matching current demand with transportation resource information.
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公开(公告)号：US20240296459A1
公开(公告)日：2024-09-05
申请号：US18117040
申请日：2023-03-03
Applicant: Hitachi, Ltd.
IPC: G06Q30/018
CPC classification number: G06Q30/018
Abstract: In example implementations described herein, there are systems and methods for obtaining information relating to one or more of a GHG consumption or a GHG production associated with a plurality of entities associated with a GHG-offset marketplace; receiving a request regarding a desired transaction related to the GHG-offset marketplace; and recommending, based on the request and the information relating to the one or more of the GHG consumption or the GHG production, at least one optimized set of partner entities in the plurality of entities for fulfilling the request. The recommendation of the at least one optimized set of partner entities may be included as part of selecting and coordinating partnerships in a supply chain (e.g., for a supply chain management company) to reduce and/or optimize greenhouse gas emissions and to enable effective cooperation for various supply chain objectives.
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公开(公告)号：US20210019906A1
公开(公告)日：2021-01-21
申请号：US16515867
申请日：2019-07-18
Applicant: Hitachi, Ltd.
Inventor： Yuki WATANABE , Ravigopal VENNELAKANTI , Manish GUPTA , Nam HUYN , Akira MAEKI , Chandrasekar VENKATRAMAN
Abstract: Example implementations described herein are directed to the projection of two dimensional (2D) image recognition results to three dimensional (3D) space by using 3D reconstructed data to realize accurate object counting, identification, scene re-organization, and so on in accordance with the desired implementation. Through the example implementations described herein, more accurate objection detection can be provided than regular 2D object detection.
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公开(公告)号：US20190213764A1
公开(公告)日：2019-07-11
申请号：US15867787
申请日：2018-01-11
Applicant: HITACHI, LTD.
Inventor： Ravigopal VENNELAKANTI , Christophe LOTH , Iwao TANUMA , Anshuman SAHU
CPC classification number: G06T11/206 , E21B49/00 , G01V1/50 , G01V99/005 , G01V2210/74 , G06F3/04842 , G06F3/04847 , G06T11/001 , G06T11/60 , G06T2200/24
Abstract: In some examples, a system may receive log data including a depth-series of data for a sensed parameter. The system may determine a parameter value of the depth series data for individual subunits of depth corresponding to a larger unit of depth. The system may further determine a scale of graphic effects corresponding to parameter values for the depth-series data. The system may present, on a display, a visualization of the depth-series data. For instance, the visualization may include a plurality of cells arranged in a plurality of rows, with each cell corresponding to the larger unit of depth and including a plurality of subcells corresponding to the subunits of depth. Additionally, each subcell may be presented with a respective graphic effect corresponding to the parameter value determined at a corresponding depth, and the graphic effect may correspond to the parameter value on the scale of graphic effects.
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