CN117081874A - Intelligent home personalized data analysis system and method based on big data - Google Patents

Intelligent home personalized data analysis system and method based on big data Download PDF

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Publication number
CN117081874A
CN117081874A CN202310829811.1A CN202310829811A CN117081874A CN 117081874 A CN117081874 A CN 117081874A CN 202310829811 A CN202310829811 A CN 202310829811A CN 117081874 A CN117081874 A CN 117081874A
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CN
China
Prior art keywords
equipment
user
portable equipment
module
monitoring
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Legal status (The legal status 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 status listed.)
Pending
Application number
CN202310829811.1A
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Chinese (zh)
Inventor
陈增荣
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Hans Shanghai Smart Home Technology Co ltd
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Hans Shanghai Smart Home Technology Co ltd
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Priority to CN202310829811.1A priority Critical patent/CN117081874A/en
Publication of CN117081874A publication Critical patent/CN117081874A/en
Pending legal-status Critical Current

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Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L12/00—Data switching networks
    • H04L12/28—Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
    • H04L12/2803—Home automation networks
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C9/00—Individual registration on entry or exit
    • G07C9/20—Individual registration on entry or exit involving the use of a pass
    • G07C9/22—Individual registration on entry or exit involving the use of a pass in combination with an identity check of the pass holder
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C9/00—Individual registration on entry or exit
    • G07C9/20—Individual registration on entry or exit involving the use of a pass
    • G07C9/22—Individual registration on entry or exit involving the use of a pass in combination with an identity check of the pass holder
    • G07C9/23—Individual registration on entry or exit involving the use of a pass in combination with an identity check of the pass holder by means of a password
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C9/00—Individual registration on entry or exit
    • G07C9/20—Individual registration on entry or exit involving the use of a pass
    • G07C9/22—Individual registration on entry or exit involving the use of a pass in combination with an identity check of the pass holder
    • G07C9/25—Individual registration on entry or exit involving the use of a pass in combination with an identity check of the pass holder using biometric data, e.g. fingerprints, iris scans or voice recognition
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L12/00—Data switching networks
    • H04L12/28—Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
    • H04L12/2803—Home automation networks
    • H04L12/2816—Controlling appliance services of a home automation network by calling their functionalities
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L12/00—Data switching networks
    • H04L12/28—Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
    • H04L12/2803—Home automation networks
    • H04L12/2816—Controlling appliance services of a home automation network by calling their functionalities
    • H04L12/282—Controlling appliance services of a home automation network by calling their functionalities based on user interaction within the home
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • H04L67/125—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks involving control of end-device applications over a network
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02—Services making use of location information
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02—Services making use of location information
    • H04W4/021—Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02—Services making use of location information
    • H04W4/029—Location-based management or tracking services
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/30—Services specially adapted for particular environments, situations or purposes
    • H04W4/33—Services specially adapted for particular environments, situations or purposes for indoor environments, e.g. buildings

Abstract

The application discloses an intelligent home personalized data analysis system and method based on big data, which relate to the technical field of intelligent home data analysis and comprise a positioning unit, an indoor monitoring unit, an interaction unit, a portable equipment unit and a control unit; the indoor monitoring unit is used for monitoring indoor environment conditions and working conditions of electric equipment; the interaction unit comprises a voice equipment module and a display equipment module, wherein the voice equipment module is used for identifying a voice instruction of a user and sending out voice to respond or remind the user; the display equipment module is used for displaying the working state of the system; according to the intelligent home personalized data analysis system and method based on big data, the portable equipment unit and the control unit are arranged, so that the indoor environment state can be automatically regulated by monitoring the state of the user, and the user can sleep more comfortably.

Description

Intelligent home personalized data analysis system and method based on big data
Technical Field
The application relates to the technical field of intelligent home data analysis, in particular to an intelligent home personalized data analysis system and method based on big data.
Background
The intelligent home uses the home as a platform, integrates facilities related to home life by utilizing a comprehensive wiring technology, a network communication technology, a security technology, an automatic control technology and an audio-video technology, builds an efficient management system of home facilities and family schedule matters, improves the safety, convenience, comfort and artistry of the home, and realizes an environment-friendly and energy-saving living environment.
The existing intelligent home is generally provided with a function of detecting whether a person is at home or not and whether an electric appliance is closed or not, so that when the person forgets to close the electric appliance when leaving home, the electric appliance is automatically closed, however, the existing intelligent home lacks an environment state of automatically controlling the electric appliance according to the state of the user, the comfort of the environment is ensured, and the user is ensured to fall asleep quickly.
Disclosure of Invention
The application aims to provide an intelligent household personalized data analysis system and method based on big data, which are used for solving the defects in the prior art.
In order to achieve the above object, the present application provides the following technical solutions: a big data-based intelligent home personalized data analysis system and method comprises a positioning unit, an indoor monitoring unit, an interaction unit, a portable equipment unit and a control unit; the indoor monitoring unit is used for monitoring indoor environment conditions and working conditions of electric equipment; the interaction unit comprises a voice equipment module and a display equipment module, wherein the voice equipment module is used for identifying a voice instruction of a user and sending out voice to respond or remind the user; the display equipment module is used for displaying the working state of the system; the portable device unit comprises a plurality of portable devices for monitoring user status; the positioning unit is used for positioning the positions of the indoor person and the portable equipment respectively and judging whether the positions of the person and the portable equipment coincide; the control unit is used for correspondingly adjusting the working state of the electric appliance according to the monitored user state.
Further, the positioning unit comprises a human body positioning module, which is used for positioning the position of the human body through WIFI signals; the device positioning module is used for positioning the portable device; the white list module is used for establishing a white list of the portable equipment and judging whether the positioning motor portable equipment is in the white list or not; and the position comparison module is used for comparing the positions of the person and the portable equipment in the white list and judging whether the positions of the person and the portable equipment in the white list are coincident or not.
Further, the indoor monitoring unit comprises an environment monitoring module and an equipment monitoring module, wherein the environment monitoring module is used for monitoring indoor temperature, humidity and air quality; the equipment monitoring module is used for monitoring the power utilization state of the electric equipment and judging the switch of the electric equipment.
Further, the portable device comprises a mobile phone, an intelligent bracelet and an intelligent watch, wherein the intelligent bracelet and the intelligent watch are used for monitoring the user state, and the mobile phone is used for being matched with the positioning unit to judge whether the position positioning of the person and the mobile phone is coincident.
Further, the user state includes body temperature, skin temperature, heart rate, sleep, respiration.
Further, the control unit is used for controlling the light to be dimmed, the air conditioner to be muted and the temperature to be comfortable to fall asleep when the user is judged to be asleep according to the data monitored by the portable equipment, controlling the humidifier or the ventilation equipment to adjust the humidity to be comfortable, controlling the networking to search and ease music to control the voice equipment module to play, closing the light when the user is detected to fall asleep, and stopping the music play of the voice equipment.
Further, the control unit is used for detecting and positioning the portable device and the portable device thereof through the positioning unit when a person enters the room from the outside, judging whether the portable device is on a white list or not, if the portable device is overlapped with the portable device, automatically opening the door if all the portable devices are met, and prohibiting the entrance of the portable device if one item of portable device is not met, judging illegal invasion of the portable device when the portable device enters the room, and notifying a user through the voice interaction unit and the portable device alarm.
Furthermore, the system also comprises an unlocking module, wherein the unlocking module is used for unlocking by a user through any one of the face, the fingerprint and the password, and the control unit does not control the voice interaction unit and the portable equipment to give an alarm to inform the user after the user is unlocked through the unlocking module.
A big data-based intelligent home personalized data analysis method comprises the following steps:
s1, adding a portable device of a user into a white list;
s2, acquiring an environment state, controlling an air conditioner, a humidifier and ventilation equipment, and keeping the temperature and the humidity of the environment state in a comfortable interval
S3, monitoring a user state, judging the user state, controlling electric equipment according to the user state, adjusting the environment state, and playing soothing music when the user is ready to fall asleep;
s4, positioning a person, the portable equipment and the portable equipment, monitoring whether the person carries the portable equipment or not when the person enters, and if the portable equipment is on a white list, automatically opening the door when the portable equipment is on the white list, otherwise, carrying out alarm prompt.
1. Compared with the prior art, the intelligent home personalized data analysis system and method based on big data provided by the application have the advantages that the portable equipment unit and the control unit are arranged, so that the indoor environment state can be automatically regulated by monitoring the state of the user, and the sleeping of the user is more comfortable.
2. Compared with the prior art, the intelligent home personalized data analysis system and method based on big data provided by the application have the advantages that the positioning unit, the interaction unit and the portable equipment unit are arranged, so that a user can automatically open the door by virtue of unlocking-free portable equipment in a white list carried by the user when returning home, and can carry out alarm notification when people without carrying the white list portable equipment enter, thereby further improving the safety.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments described in the present application, and other drawings may be obtained according to these drawings for a person having ordinary skill in the art.
Fig. 1 is an overall block diagram of a system provided in an embodiment of the present application.
Reference numerals illustrate:
1. a positioning unit; 11. a human body positioning module; 12. a device positioning module; 13. a white list module; 14. a position comparison module; 2. an indoor monitoring unit; 21. an environmental monitoring module; 22. a device monitoring module; 3. an interaction unit; 31. a voice device module; 32. a display device module; 4. a portable device unit; 5. and a control unit.
Detailed Description
In order to make the technical scheme of the present application better understood by those skilled in the art, the present application will be further described in detail with reference to the accompanying drawings.
In the description of the present application, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", etc. indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings are merely for convenience in describing the present application and simplifying the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present application.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more of the described features. In the description of the present application, the meaning of "a plurality" is two or more, unless explicitly defined otherwise. Furthermore, the terms "mounted," "connected," "coupled," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present application will be understood in specific cases by those of ordinary skill in the art.
Referring to fig. 1, an intelligent home personalized data analysis system based on big data includes a positioning unit 1, an indoor monitoring unit 2, an interaction unit 3, a portable device unit 4, and a control unit 5;
the indoor monitoring unit 2 is used for monitoring indoor environment conditions and working conditions of electric equipment; the indoor monitoring unit 2 comprises an environment monitoring module 21 and an equipment monitoring module 22, wherein the environment monitoring module 21 is used for monitoring indoor temperature, humidity and air quality; and the environment monitoring module 21 is internally provided with a parameter interval with comfortable temperature and humidity, for example, the comfortable temperature interval is 20-23 ℃, and the comfortable humidity interval is 40-70%.
The device monitoring module 22 is configured to monitor a power utilization state of the electric device, and determine a switch of the electric device, where the intelligent electric device can also control an operation state, such as an air conditioner controllable temperature and a mode, and the humidifier controllable humidity, through the control unit 5.
The interaction unit 3 comprises a voice equipment module 31 and a display equipment module 32, wherein the voice equipment module 31 is used for identifying a voice instruction of a user, controlling corresponding electrical equipment through the control unit 5 after identifying the user instruction, sending out voice to respond or remind the user, and carrying out voice feedback after the control equipment completes related operation and carrying out failure voice feedback after failure execution; the display device module 32 is used for displaying the working state of the system, and can call the corresponding display content through a voice instruction;
the portable device unit 4 includes a plurality of portable devices for monitoring the user status; the portable equipment comprises a mobile phone, an intelligent bracelet and an intelligent watch, wherein the intelligent bracelet and the intelligent watch are used for monitoring the state of a user, and the mobile phone is used for judging whether the position positioning of the person and the mobile phone is coincident or not by matching with the positioning unit 1. User states include body temperature, skin temperature, heart rate, sleep, and respiration.
The control unit 5 is configured to, when it is determined that the user is ready to sleep according to the data monitored by the portable device, control the light to dim, the air conditioner to mute and adjust to a comfortable sleep temperature, control the humidifier or the ventilation device to adjust the humidity to a comfortable humidity, control the networking search and comfort music to control the voice device module 31 to play, turn off the light when it is detected that the user has fallen asleep, and stop the music play of the voice device.
If the skin temperature of the human body is monitored to be too high during sleeping, the air-conditioning temperature is correspondingly reduced, the skin temperature is correspondingly increased, and because portable equipment such as a smart bracelet and a smart watch are usually worn on the wrist of a person, the comfort zone of the skin temperature at the wrist of the person is 32-34 ℃, the temperature is judged to be too low below the zone, and the temperature is judged to be too high above the zone.
The positioning unit 1 is used for positioning the positions of the indoor person and the portable device respectively and judging whether the positions of the person and the portable device coincide; the positioning unit 1 comprises a human body positioning module 11 for positioning the position of a human body through WIFI signals; a device positioning module 12 for positioning the portable device; a whitelist module 13 for establishing a whitelist of the portable device and judging whether the positioning motor portable device is in the whitelist; the position comparing module 14 is configured to compare the positions of the person and the portable device in the white list, and determine whether the positions of the person and the portable device in the white list overlap.
The control unit 5 is used for correspondingly adjusting the working state of the electrical appliance according to the monitored user state.
The control unit 5 is used for detecting and positioning the portable device and the portable device thereof through the positioning unit 1 when a person enters the room from the outside, judging whether the portable device is in a white list or not, if the portable device and the portable device are in a position coincident, automatically opening the door if all the portable devices are met, and prohibiting the entrance of the portable device if one item of the portable device is not met, judging illegal invasion of the portable device when the portable device enters the room, and informing a user through the voice interaction unit 3 and the portable device alarm.
The system also comprises an unlocking module, wherein the unlocking module is used for unlocking by a user through any one of the face, the fingerprint and the password, and the control unit 5 does not control the voice interaction unit 3 and the portable equipment to give an alarm to inform the user after the user is unlocked through the unlocking module.
A big data-based intelligent home personalized data analysis method comprises the following steps:
s1, adding a portable device of a user into a white list;
s2, acquiring an environment state, controlling an air conditioner, a humidifier and ventilation equipment, and keeping the temperature and the humidity of the environment state in a comfortable interval
S3, monitoring a user state, judging the user state, controlling electric equipment according to the user state, adjusting the environment state, and playing soothing music when the user is ready to fall asleep;
s4, positioning a person, the portable equipment and the portable equipment, monitoring whether the person carries the portable equipment or not when the person enters, and if the portable equipment is on a white list, automatically opening the door when the portable equipment is on the white list, otherwise, carrying out alarm prompt.
While certain exemplary embodiments of the present application have been described above by way of illustration only, it will be apparent to those of ordinary skill in the art that modifications may be made to the described embodiments in various different ways without departing from the spirit and scope of the application. Accordingly, the drawings and description are to be regarded as illustrative in nature and not as restrictive of the scope of the application, which is defined by the appended claims.

Claims (9)

1. An intelligent home personalized data analysis system based on big data is characterized in that: the system comprises a positioning unit, an indoor monitoring unit, an interaction unit, a portable equipment unit and a control unit;
the indoor monitoring unit is used for monitoring indoor environment conditions and working conditions of electric equipment;
the interaction unit comprises a voice equipment module and a display equipment module, wherein the voice equipment module is used for identifying a voice instruction of a user and sending out voice to respond or remind the user; the display equipment module is used for displaying the working state of the system;
the portable device unit comprises a plurality of portable devices for monitoring user status;
the positioning unit is used for positioning the positions of the indoor person and the portable equipment respectively and judging whether the positions of the person and the portable equipment coincide;
the control unit is used for correspondingly adjusting the working state of the electric appliance according to the monitored user state.
2. The smart home personalized data analysis system based on big data of claim 1, wherein: the positioning unit comprises a human body positioning module which is used for positioning the position of a human body through WIFI signals; the device positioning module is used for positioning the portable device; the white list module is used for establishing a white list of the portable equipment and judging whether the positioning motor portable equipment is in the white list or not; and the position comparison module is used for comparing the positions of the person and the portable equipment in the white list and judging whether the positions of the person and the portable equipment in the white list are coincident or not.
3. The smart home personalized data analysis system based on big data of claim 1, wherein: the indoor monitoring unit comprises an environment monitoring module and an equipment monitoring module, wherein the environment monitoring module is used for monitoring indoor temperature, humidity and air quality;
the equipment monitoring module is used for monitoring the power utilization state of the electric equipment and judging the switch of the electric equipment.
4. The smart home personalized data analysis system based on big data of claim 2, wherein: the portable equipment comprises a mobile phone, an intelligent bracelet and an intelligent watch, wherein the intelligent bracelet and the intelligent watch are used for monitoring the state of a user, and the mobile phone is used for judging whether the position positioning of a person and the mobile phone is coincident or not by matching with the positioning unit.
5. The intelligent home personalized data analysis system based on big data according to claim 4, wherein: the user state includes body temperature, skin temperature, heart rate, sleep, respiration.
6. The big data-based intelligent home personalized data analysis system of claim 5, wherein: the control unit is used for controlling the light to be dimmed, the air conditioner to be muted and the temperature to be comfortable to fall asleep when judging that the user is ready to sleep according to the data monitored by the portable equipment, controlling the humidifier or the ventilation equipment to adjust the humidity to be comfortable, controlling the networking to search and ease the music to control the voice equipment module to play, closing the light when detecting that the user has fallen asleep, and stopping the music play of the voice equipment.
7. The intelligent home personalized data analysis system based on big data according to claim 4, wherein: the control unit is used for detecting and positioning the portable equipment and the portable equipment thereof through the positioning unit when someone enters the room from the outside, judging whether the portable equipment is in a white list or not, if the portable equipment is coincident with the portable equipment, automatically opening the door if all the portable equipment is met, and prohibiting the entrance of the portable equipment if one item of the portable equipment is not met, judging illegal invasion of the portable equipment when the portable equipment enters the room, and informing a user through the voice interaction unit and the portable equipment alarm.
8. The smart home personalized data analysis system based on big data of claim 7, wherein: the system also comprises an unlocking module, wherein the unlocking module is used for unlocking by a user through any one of the face, the fingerprint and the password, and the control unit does not control the voice interaction unit and the portable equipment to give an alarm to inform the user after the user is unlocked through the unlocking module.
9. The intelligent home personalized data analysis method based on big data is applied to the intelligent home personalized data analysis system based on big data as claimed in any one of claims 1 to 8, and is characterized in that: the method comprises the following steps:
s1, adding a portable device of a user into a white list;
s2, acquiring an environment state, controlling an air conditioner, a humidifier and ventilation equipment, and keeping the temperature and the humidity of the environment state in a comfortable interval
S3, monitoring a user state, judging the user state, controlling electric equipment according to the user state, adjusting the environment state, and playing soothing music when the user is ready to fall asleep;
s4, positioning a person, the portable equipment and the portable equipment, monitoring whether the person carries the portable equipment or not when the person enters, and if the portable equipment is on a white list, automatically opening the door when the portable equipment is on the white list, otherwise, carrying out alarm prompt.
CN202310829811.1A 2023-07-07 2023-07-07 Intelligent home personalized data analysis system and method based on big data Pending CN117081874A (en)

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Application Number Priority Date Filing Date Title
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