WO2021148849A1 - Récipients intelligents pour un système de gestion des stocks - Google Patents

Récipients intelligents pour un système de gestion des stocks Download PDF

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Publication number
WO2021148849A1
WO2021148849A1 PCT/IB2020/051937 IB2020051937W WO2021148849A1 WO 2021148849 A1 WO2021148849 A1 WO 2021148849A1 IB 2020051937 W IB2020051937 W IB 2020051937W WO 2021148849 A1 WO2021148849 A1 WO 2021148849A1
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WO
WIPO (PCT)
Prior art keywords
data
module
container
analysing
sensors
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Application number
PCT/IB2020/051937
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English (en)
Inventor
Parthasarathy Kannaiyan
Praveen MOHANASAN
Original Assignee
Nash Industries India Private Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Nash Industries India Private Ltd filed Critical Nash Industries India Private Ltd
Publication of WO2021148849A1 publication Critical patent/WO2021148849A1/fr

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Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/08Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/087Inventory or stock management, e.g. order filling, procurement or balancing against orders
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/08Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/12Hotels or restaurants

Definitions

  • Embodiments of a present disclosure relates to measuring quantity, weight, amount, or other parameters of contents in a container, and more particularly to manage inventory after such measurement.
  • BACKGROUND Managing food items in a container involves an individual keeping continuous track of such food items. Regular usage of food items from the containers or storage places will surely lead to depletion, which will be required to be filled on time. Real time tracking is very much necessary.
  • an inventory management system includes a plurality of sensors.
  • the plurality of sensors is configured over a container.
  • the system also includes a controller processing unit.
  • the controller processing unit is operatively coupled with the plurality of sensors.
  • the controller processing unit includes a data receiving module operable by one or more processors.
  • the data receiving module is configured to receive a plurality of data as collected by the plurality of sensors.
  • the controller processing unit also includes a data analysing module operable by the one or more processors.
  • the data analysing module is operatively coupled to the data receiving module.
  • the data analysing module is configured to analyse the plurality of data by an analysing technique.
  • the controller processing unit also includes a data comparison module operable by the one or more processors.
  • the data comparison module is operatively coupled to the data analysing module.
  • the data comparison module is configured to compare each of a plurality of analysed data with reference to the container by a comparing technique.
  • the controller processing module also includes a notification generation module operable by the one or more processors.
  • the notification generation module is operatively coupled to the data comparison module.
  • the notification generation module is configured transmit each of a plurality of compared data as a notification by a plurality of means.
  • a method for managing inventory includes receiving a plurality of data as collected by the plurality of sensors.
  • the method also includes analysing the plurality of data is being analysed with reference to content of the container by an analysing technique.
  • the method also includes comparing each of a plurality of analysed data with reference to the container by a comparing technique.
  • the method also includes transmitting each of a plurality of compared data as a notification by a plurality of transmitting means.
  • the method also includes ordering the content via a plurality of marketing approaches with respect to the plurality of compared data.
  • FIG. 1 is a block diagram representation of an inventory management system in accordance with an embodiment of the present disclosure
  • FIG. 2 is a schematic representation of an exemplary embodiment representing the inventory management system of FIG. 1 in accordance of an embodiment of the present disclosure
  • FIG. 3 is a block diagram of a computer or a server in accordance with an embodiment of the present disclosure.
  • FIG. 4 is a flowchart representing the steps of a method for managing inventory in accordance with an embodiment of the present disclosure.
  • Embodiments of the present disclosure relate to an inventory management system.
  • the system includes a plurality of sensors.
  • the plurality of sensors is configured over a container.
  • the system also includes a controller processing unit.
  • the controller processing unit is operatively coupled with the plurality of sensors.
  • the controller processing unit includes a data receiving module operable by one or more processors.
  • the data receiving module is configured to receive a plurality of data as collected by the plurality of sensors.
  • the controller processing unit also includes a data analysing module operable by the one or more processors.
  • the data analysing module is operatively coupled to the data receiving module.
  • the data analysing module is configured to analyse the plurality of data by an analysing technique.
  • the controller processing unit also includes a data comparison module operable by the one or more processors.
  • the data comparison module is operatively coupled to the data analysing module.
  • the data comparison module is configured to compare each of a plurality of analysed data with reference to the container by a comparing technique.
  • the controller processing module also includes a notification generation module operable by the one or more processors.
  • the notification generation module is operatively coupled to the data comparison module.
  • the notification generation module is configured transmit each of a plurality of compared data as a notification by a plurality of means.
  • FIG. 1 is a block diagram representation of an inventory management system (10) in accordance with an embodiment of the present disclosure.
  • the term “inventory” refers to a complete list of items such as property, goods in stock, or the contents of a building.
  • the inventory includes the food supplies related to kitchen or raw material food for individual intake.
  • inventory management refers to managing food raw materials stored in kitchen containers.
  • food items are food raw materials or food supply ingredients.
  • the system (10) includes a plurality of sensors (20).
  • the plurality of sensors (20) is configured over a container.
  • the container refers to specific food raw material storage containers.
  • the containers are coupled with plurality of sensors, comprising ultrasonic sensors, level sensors, weight sensors and the like.
  • the sensors are being mechanically placed at specific positions inside or outside the container.
  • ultrasonic sensors is an instrument that measures the distance to an object using ultrasonic sound waves, here a transducer is used to send and receive ultrasonic pulses that relay back information about an object's proximity and thereby in particular situation detect the content in particular surrounding.
  • the weight sensors are being used to understand weight of the corresponding associated container.
  • the system (10) also includes a controller processing unit (30).
  • the controller processing unit (30) is operatively coupled with the plurality of sensors (20).
  • the controller processing unit (30) may be a processor, configured to work with the sensed data by the plurality of sensors.
  • the controller processing unit (30) includes a data receiving module (40).
  • the data receiving module (40) is operable by one or more processors.
  • the data receiving module (40) is configured to receive a plurality of data as collected by the plurality of sensors (20).
  • the plurality of data includes data about weight of the container, level of the container and the like.
  • the weight sensor placed in association with a kitchen rice container.
  • the data receiving module (40) receives the data from the container sensor.
  • the controller processing unit (30) also includes a data analysing module (50) operable by the one or more processors.
  • the data analysing module (50) is operatively coupled to the data receiving module (40).
  • the data analysing module (50) is configured to analyse the plurality of data by an analysing technique. In such embodiment, the plurality of data is being analysed with reference to content of the container.
  • the controller processing unit (30) with the help of data analysing module (50) analyses the content level of the container.
  • the weight data is analysed with a threshold stored data to understand the quantity level of the container.
  • the empty level of the container is analysed with the help of the ultrasonic sensor, and then container content level is understood.
  • the analysing technique may be machine learning, artificial intelligence and the like.
  • machine learning refers to an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed.
  • artificial intelligence refers to sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals, such as visual perception, speech recognition, decision-making, and translation between languages.
  • the controller processing unit (30) also includes a data comparison module (60) operable by the one or more processors.
  • the data comparison module (60) is operatively coupled to the data analysing module (50).
  • the data comparison module (60) is configured to compare each of a plurality of analysed data with reference to the container by a comparing technique.
  • various sensor data are analysed to understand content of the container.
  • weight data may be analysed as well as ultrasonic data may be analysed to understand the content level.
  • Such analysed data are then compared using the data comparison module (60) to understand the container content status.
  • the comparing technique may be machine learning, artificial intelligence and the like.
  • the controller processing unit (30) also includes a notification generation module (70) operable by the one or more processors.
  • the notification generation module (70) is operatively coupled to the data comparison module (60).
  • the notification generation module (70) is configured transmit each of a plurality of compared data as a notification by a plurality of means.
  • the plurality of transmitting means includes transmitting through a radio frequency identification communication means, WI-FI and the like.
  • the RFID tag may be mechanically coupled to the container, configured with the plurality of compared data corresponding to the container.
  • Such specific RFID tag may be read by a RFID reader positioned nearby, thereby reading the data and storing the plurality of compared data in a storage module.
  • the controller processing unit (30) further includes a container content ordering module operable by the one or more processors.
  • the container content ordering module is operatively coupled to the notification generation module (70).
  • the container content ordering module is configured to place an order of the content via a plurality of marketing approaches with respect to the plurality of compared data.
  • the plurality of marketing approaches includes any third-party marketing websites. Here, manually any user may order after understanding the requirement stored in the storage module.
  • the controller processing unit (30) further comprises a storage module operable by the one or more processors.
  • the storage module is operatively coupled to the data comparison module (50).
  • the storage module is configured to store the plurality of analysed data and a plurality of compared data.
  • the storage may be of remote storage or local storage.
  • FIG. 2 is a schematic representation of an exemplary embodiment representing the inventory management system (10) of FIG. 1 in accordance of an embodiment of the present disclosure.
  • a container X (100) is retrofitted with sensors (20), comprising a weight sensor and an ultrasonic sensor.
  • a controller processing unit (30) is also configured to with the container X (100).
  • a data receiving module (40) is configured to collect data from the plurality of sensors.
  • the data receiving module (40) collects the data from both the sensors (20) accordingly.
  • the controller processing unit (30) is also configured to analyse the collected data for understanding whether the container X (100) is full or not. For example, the system (10) may compare the threshold weight of the container X (100) to real time collected data.
  • the threshold weight data may be weight data when the container X (100) is completely full. Such analysis may be done by a data analysis module (50).
  • the data collected is analysed with respect to depth available in the container X (100).
  • the detected depth may be more that inputted depth limit.
  • such above stated readings may provide content details of the content X (100).
  • a data comparison module (60) intimates such result through a notification generation module (70).
  • the notification generation module (70) notifies the low content result through a radio frequency identification communication means.
  • the compared low data may be transferred to a storage module (80).
  • the RFID tag associated with the container X (100) is configured with the low content information, and the RFID reader reads such information.
  • a container content ordering module (90) is configured to enable automatic ordering of the food item of the container X (100).
  • any user may order through manual intervention after understanding the stored compared data.
  • the user may order through third party information after analysing the stored compared data.
  • the data receiving module (40), the data analysing module (50), the data comparison module (60) and the notification generation module (70) in FIG. 2 is substantially equivalent to the data receiving module (40), the data analysing module (50), the data comparison module (60) and the notification generation module (70) of FIG. 1.
  • FIG. 3 is a block diagram of a computer or a server (110) in accordance with an embodiment of the present disclosure.
  • the server (110) includes processor(s) (140), and memory (120) coupled to the processor(s) (140).
  • the processor(s) (140), as used herein, means any type of computational circuit, such as, but not limited to, a microprocessor, a microcontroller, a complex instruction set computing microprocessor, a reduced instruction set computing microprocessor, a very long instruction word microprocessor, an explicitly parallel instruction computing microprocessor, a digital signal processor, or any other type of processing circuit, or a combination thereof.
  • the memory (120) includes a plurality of modules stored in the form of executable program which instructs the processor (140) to perform the method steps illustrated in Fig 1.
  • the memory (120) has following modules: the data receiving module (40), the data analysing module (50), the data comparison module (60) and the notification generation module (70).
  • the data receiving module (40) is configured to receive a plurality of data as collected by the plurality of sensors.
  • the data analysing module (50) is configured to analyse the plurality of data by an analysing technique.
  • the data comparison module (60) is configured to compare each of a plurality of analysed data with reference to the container by a comparing technique.
  • the notification generation module (70) is configured transmit each of a plurality of compared data as a notification by a plurality of means.
  • Computer memory elements may include any suitable memory device(s) for storing data and executable program, such as read only memory, random access memory, erasable programmable read only memory, electrically erasable programmable read only memory, hard drive, removable media drive for handling memory cards and the like.
  • Embodiments of the present subject matter may be implemented in conjunction with program modules, including functions, procedures, data structures, and application programs, for performing tasks, or defining abstract data types or low-level hardware contexts.
  • Executable program stored on any of the above-mentioned storage media may be executable by the processor(s) (140).
  • FIG. 4 is a flowchart representing the steps of a method for managing inventory (150) in accordance with an embodiment of the present disclosure.
  • the method (150) includes receiving a plurality of data as collected by the plurality of sensors in step 160.
  • receiving the plurality of data as collected by the plurality of sensors includes receiving the plurality of data as collected by a data receiving module.
  • the method (150) also includes analysing the plurality of data is being analysed with reference to content of the container by an analysing technique in step 170.
  • analysing the plurality of data is being analysed with reference to content of the container by the analysing technique includes analysing the plurality of data is being analysed with reference to content of the container by a data analysing module.
  • the method (150) also includes comparing each of a plurality of analysed data with reference to the container by a comparing technique in step 180. In one embodiment, comparing each of the plurality of analysed data with reference to the container by the comparing technique includes comparing each of the plurality of analysed data with reference to the container by the data comparison module. The method (150) also includes transmitting each of a plurality of compared data as a notification by a plurality of transmitting means in step 190. In one embodiment, transmitting each of the plurality of compared data as the notification by the plurality of transmitting means includes transmitting each of the plurality of compared data as the notification by the plurality of transmitting means by a notification generation module.
  • transmitting each of the plurality of compared data as the notification by the plurality of transmitting means includes transmitting by the plurality of transmitting means includes transmitting through a radio frequency identification communication means.
  • the method (150) also includes ordering the content via a plurality of marketing approaches with respect to the plurality of compared data in step 200.
  • ordering the content via the plurality of marketing approaches with respect to the plurality of compared data includes ordering the content via the plurality of marketing approaches with respect to the plurality of compared data by a container content ordering module.
  • the method (150) further comprises storing the plurality of analysed data and the plurality of compared data.
  • storing the plurality of analysed data and a plurality of compared data includes storing the plurality of analysed data and a plurality of compared data by a storage module.
  • an inventory management system provides a system for understanding automatically content of a container.
  • plurality of sensors automatically understands the content and provides conclusion whether the content of the container is low or not.
  • radio frequency identification communication means is being used intimate a user and store the result data in a storage module.
  • food may be automatically ordered with the help of the system.

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Abstract

La présente invention concerne un système de gestion des stocks. Le système comprend une pluralité de capteurs. La pluralité de capteurs est agencée sur un récipient. Le système comprend également une unité de traitement d'un dispositif de commande. L'unité de traitement du dispositif de commande comprend un module de réception de données, conçu pour recevoir une pluralité de données collectées par la pluralité de capteurs. L'unité de traitement du dispositif de commande comprend également un module d'analyse de données, conçu pour analyser la pluralité de données au moyen d'une technique d'analyse. L'unité de traitement du dispositif de commande comprend également un module de comparaison de données, conçu pour comparer chaque donnée parmi une pluralité de données analysées par rapport au récipient au moyen d'une technique de comparaison. Le module de traitement du dispositif de commande comprend également un module de génération de notification, conçu pour transmettre, sous la forme d'une notification, chaque donnée parmi une pluralité de données comparées par l'intermédiaire d'une pluralité de moyens. Un moyen de communication d'identification par radiofréquence est utilisé pour informer un utilisateur de la pluralité de données comparées.
PCT/IB2020/051937 2020-01-23 2020-03-06 Récipients intelligents pour un système de gestion des stocks WO2021148849A1 (fr)

Applications Claiming Priority (2)

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IN202041003118 2020-01-23
IN202041003118 2020-01-23

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Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2015153768A1 (fr) * 2014-04-04 2015-10-08 Nectar, Inc. Mesure et analyse de la quantité du contenu d'un récipient
WO2019190858A1 (fr) * 2018-03-25 2019-10-03 A. J. Antunes & Co. Système de détection capacitive pour la détection de produits alimentaires disposés à l'intérieur d'un plateau de réchauffage d'aliments ou d'un récipient de stockage d'aliments

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2015153768A1 (fr) * 2014-04-04 2015-10-08 Nectar, Inc. Mesure et analyse de la quantité du contenu d'un récipient
WO2019190858A1 (fr) * 2018-03-25 2019-10-03 A. J. Antunes & Co. Système de détection capacitive pour la détection de produits alimentaires disposés à l'intérieur d'un plateau de réchauffage d'aliments ou d'un récipient de stockage d'aliments

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