JP2023011529A - マテリアルハンドリング環境内の資産の場所を推定する方法及びシステム - Google Patents
マテリアルハンドリング環境内の資産の場所を推定する方法及びシステム Download PDFInfo
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Abstract
【解決手段】方法は、資産に関連付けられたRFタグから受信されたRF信号に関連付けられたメタデータに基づいて、屋内環境内の資産の1つ以上の場所を判定することを含む。本方法は、1つ以上の場所のうちの第1の組の場所を識別することを更に含む。本方法は、1つ以上の場所のうちの第2の組の場所を識別することを更に含み、第2の組の場所は、屋内環境内の資産の較正されていない場所に対応する。加えて、本方法は、資産の第3の組の場所を受信することを含む。更に、本方法は、第1の組の場所、第2の組の場所、及び第3の組の場所、並びにRF信号に関連付けられたメタデータに基づいて、機械学習(ML)モデルを訓練することを含む。MLモデルは、別の資産の第4の組の場所を予測する。
【選択図】図1
Description
Claims (3)
- 資産を追跡するための方法であって、前記方法が、
プロセッサによって、前記資産に関連付けられたRFタグから受信されたRF信号に関連付けられたメタデータに基づいて、屋内環境内の資産の1つ以上の場所を判定することと、
前記プロセッサによって、前記1つ以上の場所のうちの第1の組の場所を識別することであって、前記第1の組の場所が、前記屋内環境内の前記資産の較正された場所に対応する、識別することと、
前記プロセッサによって、前記1つ以上の場所のうちの第2の組の場所を識別することであって、前記第2の組の場所が、屋内環境内の前記資産の較正されていない場所に対応する、識別することと、
前記プロセッサによって、前記第2の組の場所の較正された場所である前記資産の第3の組の場所を受信することと、
前記プロセッサによって、前記第1の組の場所ト、前記第2の組の場所、及び前記第3の組の場所、並びに前記RF信号に関連付けられた前記メタデータに基づいて、機械学習(ML)モデルを訓練することであって、前記MLモデルが、前記屋内環境内の別の資産の第4の組の場所を予測するように構成されている、訓練することと、を含む、方法。 - 前記プロセッサによって、前記屋内環境内の他の資産の1つ以上の場所を判定することを更に含む、請求項1に記載の方法。
- 前記他の資産の前記1つ以上の場所が、前記屋内環境における前記他の資産の較正された場所に対応する第1の組の場所、及び第2の組の場所を含み、前記第2の組の場所が、前記屋内環境における前記他の資産の較正されていない場所を含む、請求項2に記載の方法。
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Application Number | Priority Date | Filing Date | Title |
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US17/372,835 | 2021-07-12 | ||
US17/372,835 US20230020685A1 (en) | 2021-07-12 | 2021-07-12 | Methods and systems of estimating location of an asset within material handling environment |
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JP2023011529A true JP2023011529A (ja) | 2023-01-24 |
JP7454608B2 JP7454608B2 (ja) | 2024-03-22 |
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JP2022111069A Active JP7454608B2 (ja) | 2021-07-12 | 2022-07-11 | マテリアルハンドリング環境内の資産の場所を推定する方法及びシステム |
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US (1) | US20230020685A1 (ja) |
EP (1) | EP4120702A1 (ja) |
JP (1) | JP7454608B2 (ja) |
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US9285453B2 (en) * | 2002-08-19 | 2016-03-15 | Q-Track Corporation | Method of near-field electromagnetic ranging and location |
US20160039340A1 (en) * | 2004-12-21 | 2016-02-11 | Q-Track Corporation | Selective proximity detection system and method |
US10942251B2 (en) * | 2014-09-03 | 2021-03-09 | CloudLeaf, Inc. | Asset location and management system with distributed processing |
WO2016126761A1 (en) | 2015-02-03 | 2016-08-11 | Schlumberger Technology Corporation | Multi-phase polymer shear viscosity calculation in polymer coreflood simulation study workflow |
JP2016212050A (ja) | 2015-05-13 | 2016-12-15 | 株式会社リコー | 位置管理システム、位置管理装置、位置管理方法、及びプログラム |
GB201610028D0 (en) | 2016-06-08 | 2016-07-20 | Novus Comm Ltd | Tracking system |
EP3602101A4 (en) | 2017-03-28 | 2021-06-23 | Automaton, Inc. | RFID LABEL LOCATION METHODS AND APPARATUS |
US10902376B2 (en) | 2017-11-06 | 2021-01-26 | Microsoft Technology Licensing, Llc | Inventory control |
JP2019108222A (ja) | 2017-12-20 | 2019-07-04 | 凸版印刷株式会社 | 荷物添付電子タグ、荷物管理システム及び荷物管理方法 |
JP7135829B2 (ja) | 2018-12-20 | 2022-09-13 | 富士通株式会社 | 測位システム、情報処理装置、及び、測位校正プログラム |
US10832024B2 (en) | 2019-11-26 | 2020-11-10 | Intel Corporation | Behavior detection using RFID in environments with high RFID tag density |
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- 2021-07-12 US US17/372,835 patent/US20230020685A1/en active Pending
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- 2022-06-23 EP EP22180824.9A patent/EP4120702A1/en active Pending
- 2022-06-28 CN CN202210744990.4A patent/CN115600621A/zh active Pending
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US20230020685A1 (en) | 2023-01-19 |
CN115600621A (zh) | 2023-01-13 |
EP4120702A1 (en) | 2023-01-18 |
JP7454608B2 (ja) | 2024-03-22 |
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