WO2020036572A1 - Dispositif intelligent de surveillance de données de consommation de liquide sur la base d'une interaction multi-capteurs - Google Patents

Dispositif intelligent de surveillance de données de consommation de liquide sur la base d'une interaction multi-capteurs Download PDF

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Publication number
WO2020036572A1
WO2020036572A1 PCT/US2018/000261 US2018000261W WO2020036572A1 WO 2020036572 A1 WO2020036572 A1 WO 2020036572A1 US 2018000261 W US2018000261 W US 2018000261W WO 2020036572 A1 WO2020036572 A1 WO 2020036572A1
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WO
WIPO (PCT)
Prior art keywords
smart device
feeding
user
container
weight
Prior art date
Application number
PCT/US2018/000261
Other languages
English (en)
Inventor
Dengping ZHOU
Xiufeng ZHANG
Hang Yin
Original Assignee
Bluesmart Technology Corporation
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 Bluesmart Technology Corporation filed Critical Bluesmart Technology Corporation
Priority to PCT/US2018/000261 priority Critical patent/WO2020036572A1/fr
Publication of WO2020036572A1 publication Critical patent/WO2020036572A1/fr

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Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01G—WEIGHING
    • G01G17/00—Apparatus for or methods of weighing material of special form or property
    • G01G17/04—Apparatus for or methods of weighing material of special form or property for weighing fluids, e.g. gases, pastes
    • A—HUMAN NECESSITIES
    • A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
    • A47G—HOUSEHOLD OR TABLE EQUIPMENT
    • A47G23/00—Other table equipment
    • A47G23/10—Devices for counting or marking the number of consumptions
    • A47G23/12—Consumption counters combined with table-ware or table-service
    • A47G23/16—Consumption counters combined with table-ware or table-service combined with drinking vessels or with lids therefor

Definitions

  • the present disclosure relates to a method and an apparatus for monitoring liquid consumption data, and in particular relates to a smart device for monitoring liquid consumption data based on multi-sensor interaction.
  • the smart hardware is another technological concept since smart phone is invented. Through the combination of software and hardware, devices can be improved with intelligent functionalities. With the intelligent functionalities, the hardware is capable of connecting and benefiting from online services from the Internet, forming a cloud-plus-end framework and utilizing additional venues such as big data.
  • Hardware products based on artificial intelligence are developed at a fast pace. Those hardware products cover various fields with their applications tending to be more scenario- oriented, for example, smart home.
  • the smart maternal and baby hardware products may be integrated with the Internet of Things (IoT) technologies.
  • IoT Internet of Things
  • the Internet of Things is part of a new generation of information technology, as well as an important development stage of the informatization era.
  • the Internet of things is the Internet interconnected by things.
  • the core and foundation is the Internet.
  • the IoT extends and expands the network on top of the Internet.
  • user terminals exchange information and communications through objects in the IoT.
  • the Internet of Things is widely used as an integration of networks through intelligent perception, identification technology, general computing and other communication and perception technologies.
  • the core of the development of IoT is application innovation, which focus on improving the user experience.
  • the smart maternal and baby hardware products may utilize sensors.
  • a sensor is a detection device that can perceive the measured information and transform the information into electrical signals or other forms of output information based on certain transformation rules.
  • the output signals are used for information transferring, processing, storing, displaying, archiving and controlling, etc.
  • the characters of the sensor may involve miniaturization, digitization, intelligence, multi-functions, systematization and networking. Sensors are foundations for realization of automatic detection and automatic controlling. The existence and development of the sensor enables objects with functionalities corresponding to senses such as touch, taste and smell.
  • the sensors may be characterized as thermal sensor, light sensor, gas sensor, force sensor, magneto sensor, humidity sensor, sound sensor, radiation sensor, color sensor, flavor sensor, etc.
  • the smart maternal and baby hardware products may utilize artificial intelligence.
  • Artificial intelligence is a technology that studies and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence.
  • Al is a branch of computer science, which attempts to understand the essence of intelligence and create a new intelligent machine that can respond in a similar way to human intelligence.
  • Researches in the AI field includes robots, language and image recognition, natural language processing, expert systems, etc.
  • Artificial intelligence attempts to simulate the information processing and analysis of human minds.
  • Smart hardware can be further improved in terms of man-machine interface and intelligent performance.
  • Smart hardware products become a part of modern life in IoT era. Users are more inclined to use smart products in different life scenarios, such as home, travel, medical care, etc. The consumption habits of consumers are changing, the customers are more willing to pay for products emphasizing high qualities and services.
  • a smart feeding monitor device can be operated along with ordinary baby bottles, cups and other containers for monitoring liquid consumption data.
  • the smart device in a real time may collect, record, identify, analyze, and/or upload liquid consumption data.
  • Liquid consumption data (also referred to as drinking data or consumption data) includes various types of data related to liquid consumption (e.g., baby formula feeding), such as volume of liquid consumption, temperature of the liquid, angle of feeding, time, speed, and attitude habit of liquid consumption, etc.
  • the liquid consumption data may be transmitted wirelessly (e.g., via Bluetooth) to user devices (e.g., mobile devices) in a real time, so that the users can conveniently view and manage the liquid consumption data through the user devices.
  • a smart device for monitoring liquid consumption includes at least a flexible sleeve, a weight sensor, a motion sensor and a processor.
  • the flexible sleeve is configured to accommodate a liquid container.
  • the weight sensor is incorporated in the flexible sleeve, and is configured to collect weight measurements of the liquid container.
  • the motion sensor is incorporated in the flexible sleeve, and is configured to recognize a feeding motion of the liquid container.
  • the processor is incorporated in the f!exihle sleeve, and is configured to identify a liquid consumption quantity based on a difference between a first weight measurement of the liquid container prior to the feeding motion and a second weight measurement of the liquid container after the feeding motion.
  • a method for monitoring liquid consumption includes steps of: detecting, by a proximity sensor of a smart device, a container coupled to the smart device; determining, by a weight sensor of the smart device, a first weight measurement of the container by the smart device; recognizing, by a motion sensor of the smart device, a feeding motion of the container; determining, by the weight sensor responsive to a cessation of the feeding motion, a second weight measurement of the container; and identifying a feeding quantity based on a difference between the first weight measurement and the second weight measurement of the container.
  • a method of binding a user identifier (ID) with a smart device for monitoring liquid consumption includes steps of: sending, to a smart device, a binding request that includes a user ID, the smart device configured to couple with a liquid container; receiving, from the smart device, a binding confirmation including a smart device ID of the smart device; uploading the user ID and the smart device ID to a cloud server for matching; and in response to achieving a match of the user ID and the smart device ID, performing a synchronization of feeding data regarding liquid consumption from the liquid container with the smart device.
  • FIG. 1 schematically illustrates a framework for an example embodiment of a smart liquid consumption monitoring system.
  • FIG. 2 is a block diagram schematically illustrating components of an example embodiment of a smart feeding monitor device.
  • FIG. 3 schematically illustrates an example embodiment of a feeding process using a smart device.
  • FIG. 4 schematically illustrates that a smart device cycles through multiple modes.
  • FIG. 5 illustrates an example embodiment of a smart device including one or more indicators for indicating the status of the smart device.
  • FIG. 6 illustrates an example embodiment of a process of collecting weight measurements before feeding.
  • FIG. 7 illustrates an example embodiment of a process of collecting weight measurements after feeding.
  • FIG. 8 illustrates an exploded view of components of a bottom portion of an example embodiment of a smart device.
  • FIG. 9 illustrates a cross-sectional view of a bottom portion of an example embodiment of a smart device.
  • FIG. 10 illustrates two perspective views of an example embodiment of a bottom cover assembly.
  • FIG. 11 illustrates an example embodiment of a process of user-binding for a smart feeding monitor device.
  • a smart device can be operated along with ordinary baby bottles, cups and other containers for monitoring liquid consumption data.
  • the smart device in a real time may collect, record, identify, analyze, and/or upload liquid consumption data.
  • Liquid consumption data also referred to as drinking data or consumption data
  • the liquid consumption data may be transmitted wirelessly (e.g., via Bluetooth) to user devices (e.g., mobile devices) in a real time, so that the users can conveniently view and manage the liquid consumption data through the user devices.
  • the smart device may use the network of the user devices to transmit the liquid consumption data to a cloud server, so that the liquid consumption can be automatically recorded, stored, analyzed, and shared in a wireless fashion.
  • the cloud server can further provide the users with services such as accurate liquid consumption reminders, data display, and scientific feeding guidance through intelligent data analysis and feedback to user devices and/or the smart device.
  • the smart device may provide to users through, e.g., indicators (such as LEDs), one or more alerts such as wrong feeding angle, expired formula or milk, and/or overheated feeding bottle.
  • indicators such as LEDs
  • alerts such as wrong feeding angle, expired formula or milk, and/or overheated feeding bottle.
  • FIG. 1 schematically illustrates a framework for a smart liquid consumption monitoring system.
  • a smart device 110 is used for monitoring baby formula feeding.
  • a smart device may be used for monitoring other liquid consumption, such as consumption of medicine, coffee, tea, alcohol, milk, water, etc.
  • the smart device 110 is removably attached to a feeding bottle 120 (also referred to as baby bottle or nursing bottle).
  • the smart device 110 may include various sensors such as thermometer, load cell, motion sensor, and proximity sensor.
  • the smart device 100 may further include a timer and one or more indicators.
  • the smart device 110 automatically records feed data such as feeding start time, feed end time, feeding amount, and formula temperature.
  • the smart device 110 provides alerts such as steep feeding angle, formula expiration, and high formula temperature.
  • the smart device 110 is wireless connected to a user device 130 via, e.g., Bluetooth.
  • the smart device 110 may synchronize wirelessly the feeding data to the user device 130 (in particular, to a feeding monitor app running on the user device 130 for example).
  • app refers to a computer program designed to run on a mobile device.
  • the user device 130 connects to a cloud server 190 through a network (e.g., WiFi, cellular network, or the Internet), and automatically uploads the feeding data to the cloud server 190.
  • a network e.g., WiFi, cellular network, or the Internet
  • Users can sign up accounts in the feeding monitor app using their user devices, such as user devices 140 and 150 as shown in FIG. 1.
  • the user devices 140 and 150 are also connected to the cloud server 190 through a network (e.g., WiFi, cellular network, or the Internet).
  • a network e.g., WiFi, cellular network, or the Internet.
  • the accounts of the use devices 140 and 150 join a family group associated with the smart device 110 and/or the user device 130 in the feedback monitor app.
  • the user devices 140 and 150 can downloads and display the feeding data from the cloud server 190.
  • a smart device uses an intelligent algorithm for monitoring liquid consumption based on multi-sensor interaction.
  • a real liquid consumption process e.g., formula feeding process
  • the monitored liquid consumption data may be a comprehensive data set including, e.g., amount of feeding, liquid temperature, angle of the feeding bottle, feeding time, etc.
  • a smart device (e.g., the smart device 110 of FIG. 1) includes a flexible silicone sleeve that is configured to be attached to a bottom of a container (e.g., a feeding bottle).
  • the shape of the flexible silicone can be designed and fitted to securely accommodate containers of different sizes and shapes.
  • One or more data acquisition sensors may be disposed at the bottom of the flexible silicone sleeve, and may include, e.g., load cell, motion sensor, thermometer (e.g., infrared thermometer), proximity sensor (e.g., infrared proximity sensor), etc.
  • FIG. 2 is a block diagram schematically illustrating components of a smart device.
  • the smart device 200 includes a microcontroller unit (MCU) 210 for controlling other components and processing data.
  • the MCU 210 is connected to an antenna 220 for wireless communication.
  • the smart device 200 further includes a flash unit 230, an LED driver 240, an LED 245, a proximity sensor 250, a temperature sensor 260, a motion sensor 270 and a load cell 280.
  • FIG. 3 schematically illustrates a feeding process using a smart device.
  • the smart device 200 starts up (block 305) and enters a standby mode, or wakes up from hibernation (block 310) and enters the standby mode, the LED 245 is turned on and emits green light, indicating that smart device 200 is ready to operate.
  • the proximity sensor 250 detects that a feeding bottle is inserted into flexible silicone sleeve.
  • the temperature sensor 260 detects a temperature of the liquid (e.g., formula) in the feeding bottle.
  • the smart device 200 can indicate whether the temperature is appropriate for feeding.
  • the smart device 200 monitors the bottle angle in a real time (block 315).
  • the motion sensor 270 (or a gravity sensor) can detect that the smart device 200 is placed on a horizontal plane (e.g., a table top), the smart device records the temperature and the weight of the liquid (using, e.g., the temperature sensor 260 and the load cell 280) before feeding, and updates in a real time the feeding data set (block 320).
  • the blocks 315 and 320 are looped until a feeding motion starts (block 330).
  • the motion sensor 260 can further detect that a user picks up the feeding bottle (attached with the smart device 200), and turns the feeding bottle to a degree (also referred to as feeding angle) to start the feeding motion (block 340). Accordingly, the smart device 200 records the feeding start time. Through the motion sensor 260, the smart device 200 monitors the feeding angle in a real time (block 345). If the feeding angle is within a normal range of feeding angles, all indicators are turned off to avoid interrupting the feeding process. If the feeding angle is higher than a threshold, the LED 245 may turn red to alert the user. The data collected during the feeding process are stored into the feeding data set.
  • the motion sensor 270 can detect that the smart device 200 is placed on a horizontal plane again, suggesting the feeding process is over (block 350).
  • the smart device 200 may collect data such as feeding stop time, liquid temperature, and liquid weight after the feeding (block 360).
  • the feeding data set is stored in the flash 230 and is synchronized to feeding monitor app installed in a user device, when the feeding monitor app is accessed in the user device.
  • FIG. 4 schematically illustrates that a smart device cycles through multiple modes.
  • the smart device After starting up can determine whether a container is attached to the smart device (block 405). If so, based on the status of the motion sensor 270, the smart device further determine whether there is movement of the container and the smart sensor (block 410). If there is a movement, depending on the angle of the container detected by the motion sensor 270 (block 415), the smart device may enter a feeding mode (block 430) or a prior-to-feeding mode (block 440).
  • the smart device determines whether the angle of the container is level (relative to a horizontal plane) or not level (block 420). If the container is level, the smart device enters a mode for reading load cell data (block 450). If the container is not level, the smart device enters a feed-or-sleep mode (block 460), indicating either the feeding is ongoing or the device switches to hibernation (also referred to as sleep) after a predetermined time period.
  • FIG. 5 illustrates a smart device including one or more indicators (e.g., LEDs) for indicating the status of the smart device.
  • the feeding data collection is realized by real-time motion detection and an intelligent way of monitor a total weight of objects disposed on the flexible silicone sleeve of the smart device.
  • the MCU 210 monitors the data collected from the motion sensor 270 in a real time, and recognizes the motion through which a feeding person handles the feeding bottle using an intelligent motion recognition algorithm.
  • the smart device collects and records a total weight before the feeding. Once the feeding is finished, the smart device collects and records another total weight after the feeding. The different between the total weight values before and after the feeding reflects the feeding amount.
  • FIG. 6 illustrates a process of collecting weight measurements before feeding.
  • the smart device performs a series of determination.
  • the smart device determines whether the device is in a non-charging mode (block 610).
  • a charging mode may be a wired-charging mode (e.g., via a charging cable) or a contact-charging mode (e.g., induction charging). If the device is being charged, the smart device does not collect any weight values during wired charging, because the weight measurement with a wire attached may be inaccurate.
  • the smart device also determines whether the device is placed on a charging cradle (or other charging device).
  • the smart device If the smart device is placed on the charging cradle (for, e.g., wired-charging or induction charging), the smart device does not collect any weight values because the weight measurement may be inaccurate.
  • the smart device further determines using the proximity sensor whether an object is attached to the smart device (block 615). The smart device does not collect any weight values if there is no container attached to the smart device.
  • the smart device determines whether the detected values from the motion sensor are stable and whether the device is perpendicular to a horizontal surface (block 620). In other words, the smart device does not collect any weight values if the smart device is not in a motionless upright position.
  • the smart device collects the weight value using the load cell and determines whether the weight value is within a predetermined range (block 625).
  • the predetermined range may be from a weight value of an empty container to a weight value of a full container. If the weight value is outside of the predetermined range, likely the container is suspended or pressed to cause an abnormal measurement of the weight. The smart device ignores the abnormal weight value. If the determination of any of the blocks 610, 615, 620, and 625 returns negative, the smart device records no weight value (block 690).
  • the smart device continuously collects the weight values (block 630). Unless a mode (a value that appears most often) appears (block 635), the smart device continuously collects the weight values.
  • the smart device and the container are placed on a horizontal surface (e.g., a table top), the user may continuously add materials (e.g., water and/or formula powder) into the container. Thus, the weight value continuously changes and eventually stabilizes once all materials are added to the container.
  • the mode of the weight values appears, and the smart device uses the mode of the weight values as the weight measurement before feeding (block 640). If there is already a recorded weight measurement, the weight measurement is updated using the new value.
  • the already recorded weight measurement may correspond to a value of a container being removed from the smart device without feeding, and thus is overwritten.
  • FIG. 7 illustrates a process of collecting weight measurements after feeding.
  • the smart device performs a series of determination. Similar to the process of FIG. 6, the smart device determines whether the device is in a non-charging mode (block 710).
  • the charging mode may be a wired-charging mode (e.g., via a charging cable) or a contact-charging mode (e.g., induction charging). If the device is being charged, the smart device does not collect any weight values during wired charging, because the weight measurement with a wire attached may be inaccurate.
  • the smart device also determines whether the device is placed on a charging cradle (or other charging device).
  • the smart device If the smart device is placed on the charging cradle (for, e.g., wired-charging or induction charging), the smart device does not collect any weight values because the weight measurement may be inaccurate.
  • the smart device further determines using the proximity sensor whether an object is attached to the smart device (block 715). The smart device does not collect any weight values if there is no container attached to the smart device.
  • the smart device determines whether the detected values from the motion sensor are stable and whether the device is perpendicular to a horizontal surface (block 720). In other words, the smart device does not collect any weight values if the smart device is not in a motionless upright position.
  • the smart device collects the weight value using the load cell and determines whether the weight value is within a predetermined range (block 725).
  • the predetermined range may be from a weight value of an empty container to a weight value of a full container. If the weight value is outside of the predetermined range, likely the container is suspended or pressed to cause an abnormal measurement of the weight. The smart device ignores the abnormal weight value. If the determination of any of the blocks 710, 715, 720, and 725 returns negative, the smart device records no weight value (block 790).
  • the smart device continuously collects the weight values (block 730). Unless a mode (a value that appears most often) appears (block 735), the smart device continuously collects the weight values. If the mode of the weight values appears, the smart device records the mode of the weight values as the weight measurement after feeding (block 740).
  • the smart device can accurately determine various mode such as prior to feeding, feeding ongoing, feeding finished, etc.
  • the smart device collects the weight measurements before and after the feeding, to accurately record the weight (also volume) of the feeding.
  • the load cell 280 of the smart device 200 may be a microscale load cell for accurate measurement of liquid consumption and adapted for a variety of containers.
  • FIG. 8 is an exploded view illustrating components of a bottom portion of a smart device.
  • FIG. 9 is a cross-sectional view of the bottom portion of the smart device.
  • the bottom portion 800 of a smart device may include a bottom cover assembly 810, a support frame 815, a microscale load cell 820, and a loading platform 830.
  • the smart device includes a flexible silicone sleeve can be stretched and adapted to containers of various sizes and shapes, such that the container is securely attached to the smart device during weight measurement.
  • microscale load cell also referred to as weight sensor
  • microscale load cell has a measurement range of from 0kg to 2kg, with a measurement error within 0.1% of the measured weight value.
  • the difference between the weight measurements before and after the feeding is recorded as the weight value of the liquid consumption during the feeding.
  • the weight value can be also converted into a volume of the liquid consumption during the feeding.
  • the bottom cover assembly 810 may include a bottom outer cover and a sealing ring.
  • the sealing ring may include flexible silicone.
  • FIG. 10 illustrates two perspective views of the bottom cover assembly. Hot glue can be applied to the bottom outer cover 812 and the sealing ring 814 at the contact surfaces.
  • the sealing ring 814 is attached to the bottom outer cover 812, a pressure is applied to the assembly to ensure that bottom cover assembly 810 is securely assembled and is properly sealed at the sealing ring 814.
  • the silicone sealing ring design of the bottom cover assembly 810 meets the IPX7 waterproof sealing requirement.
  • the u-shaped cross section of the sealing ring 814 improves the weight measurement precision.
  • a left portion (higher portion) of the u-shaped sealing ring 814 is attached to an upper structure of the bottom cover assembly 810, while a right portion (lower portion) of the u-shaped sealing ring 814 is attached to a lower structure of the bottom cover assembly 810.
  • the upper structure may move relative to the lower structure.
  • the accuracy of the weigh measurement depends on the ability of the upper structure moving freely relative to the lower structure.
  • the u-shaped sealing ring achieves a waterproof sealing, without applying any additional force to the upper or lower structure.
  • the bottom portion 800 can achieve an accurate weight measurement by letting the upper structure move vertically relative to the lower structure.
  • the smart device can achieve user binding, feeding data recordation and real time synchronization with a feeding monitor app.
  • the user binding is exclusive. Once a smart device is bound to a user identification, the smart device cannot be bound to another user identification, unless a user releases the binding using the feed monitor app running on the user device.
  • FIG. 11 illustrates a process of user-binding for the smart feeding monitor device.
  • the user identification may be, e.g., a baby ID.
  • the feeding monitor app running on the user device communicates with the smart device to determine whether the smart device is already bound to another second baby ID. If the smart device is not bound to another baby ID, the app binds the smart device to the first baby ID, and pairs the smart device with the user device (block 915).
  • the app running on the user device communicates with the smart device to determine whether the second baby ID is the same as the first baby ID (block 920). If the second baby ID is the same as the first baby ID, the app re-binds the smart device to the first baby ID, and pairs the smart device with the user device (block 925).
  • the app running on the user device presents a user query to confirm whether to take over the smart device using the first baby ID (block 930). If the user confirms to take over the smart device using the first baby ID, the app binds the smart device to the first baby ID, updates feeding data using data associated with the first baby ID, and pairs the smart device with the user device (block 935).
  • the app disconnects the smart device and return to a user interface, e.g., to initiate a connection to a smart device (block 940).
  • the app and the cloud server receive and record a smart device ID associated with the baby ID. Anytime a user clicks a link or button in the app to initiate a data synchronization, the app sends the data synchronization request including the smart device ID and the baby ID. The combination of the smart device ID and the baby ID are verified before the feeding data are transmitted or synchronized. In addition, authorized members of a family group can also use the feeding monitor app to receive the bound pair of the smart device ID and the baby ID from the cloud server. No additional binding operations are needed. The bound smart device can be directly searched and identified, automatically paired and obtained data from, by using the bound pair of the smart device ID and the baby ID.
  • the smart device On the other hand, once a smart device is successfully bound to a baby ID, the smart device also records the baby ID that represents the identity of the baby.
  • the smart device verifies the baby ID sent along with the data request. Unless the sent baby ID matches the baby ID recorded in the smart device, the smart device refuses to provide the feeding data. If the smart device is re bound to another baby ID, the smart device updates the recordation of the bound baby ID accordingly.
  • the smart device if there is no baby ID recorded in a smart device, the smart device generates feeding data but does not store the feeding data. In such case, the smart device stores merely device configuration data.
  • the stored baby ID cannot be changed by other instances of the app, to avoid the situation that the smart device is taken over by another baby ID without authorization.
  • the unbinding process is performed by the app and the cloud server. A user clicks a link or a button in the app to unbind the smart device. The user device no longer attempts to establish connections with the smart device for data synchronization. The user device further sends an unbinding confirmation to the cloud server, so that the cloud server will remove the binding information associated with the smart device ID and the baby ID.
  • the terms can refer to instances in which the event or circumstance occurs precisely as well as instances in which the event or circumstance occurs to a close approximation.
  • the terms can refer to a range of variation less than or equal to ⁇ 10% of that numerical value, such as less than or equal to ⁇ 5%, less than or equal to ⁇ 4%, less than or equal to ⁇ 3%, less than or equal to ⁇ 2%, less than or equal to ⁇ 1%, less than or equal to ⁇ 0.5%, less than or equal to ⁇ 0.1%, or less than or equal to ⁇ 0.05%.
  • two numerical values can be deemed to be "substantially" the same if a difference between the values is less than or equal to ⁇ 10% of an average of the values, such as less than or equal to ⁇ 5%, less than or equal to ⁇ 4%, less than or equal to ⁇ 3%, less than or equal to ⁇ 2%, less than or equal to ⁇ 1%, less than or equal to ⁇ 0.5%, less than or equal to ⁇ 0.1%, or less than or equal to ⁇ 0.05%.

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Abstract

La présente invention concerne un dispositif intelligent permettant de surveiller automatiquement la consommation de liquide. Le dispositif intelligent comprend un manchon souple conçu pour recevoir un récipient de liquide, un capteur de poids conçu pour collecter des mesures de poids du récipient de liquide, un capteur de mouvement conçu pour reconnaître un mouvement d'alimentation du récipient de liquide, et un processeur conçu pour identifier une quantité de consommation de liquide sur la base d'une différence entre une première mesure de poids du récipient de liquide avant le mouvement d'alimentation et une seconde mesure de poids du récipient de liquide après le mouvement d'alimentation.
PCT/US2018/000261 2018-08-17 2018-08-17 Dispositif intelligent de surveillance de données de consommation de liquide sur la base d'une interaction multi-capteurs WO2020036572A1 (fr)

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US20160135626A1 (en) * 2012-03-08 2016-05-19 Iqhydr8, Llc Fluid consumption monitoring system
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