CN114898484A - Method for awakening intelligent door lock, sensor, intelligent door lock and electronic equipment - Google Patents
Method for awakening intelligent door lock, sensor, intelligent door lock and electronic equipment Download PDFInfo
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- 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
- G07C9/00174—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys
- G07C9/00571—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys operated by interacting with a central unit
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
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- G—PHYSICS
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- 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
- G07C9/00174—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys
- G07C9/00309—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys operated with bidirectional data transmission between data carrier and locks
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- 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
- G07C9/00174—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys
- G07C9/00309—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys operated with bidirectional data transmission between data carrier and locks
- G07C2009/00365—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys operated with bidirectional data transmission between data carrier and locks in combination with a wake-up circuit
- G07C2009/00373—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys operated with bidirectional data transmission between data carrier and locks in combination with a wake-up circuit whereby the wake-up circuit is situated in the lock
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
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Abstract
The invention discloses a method for awakening an intelligent door lock, a sensor, the intelligent door lock and electronic equipment. The method comprises the following steps: acquiring a plurality of opening time points of the intelligent door lock; clustering the starting time points to obtain a plurality of clustering time points; determining a wakeup time point before each clustering time point to obtain a plurality of wakeup time points; and awakening the intelligent door lock when the current time point reaches any one of the plurality of awakening time points. The invention solves the technical problem of high power consumption when the intelligent door lock is in the wake-up state for a long time.
Description
Technical Field
The invention relates to the field of intelligent door locks, in particular to a method for awakening an intelligent door lock, a sensor, the intelligent door lock and electronic equipment.
Background
In the prior art, the application of intelligent door lock is more and more popular. When the intelligent door lock is opened, the intelligent door lock is firstly awakened, the verification device is started, the user verification information of the user is verified through the verification device, and after the verification is successful, the intelligent door lock can be opened. For example, after waking up the door lock, the user holds the smart door lock handle, obtains the user's fingerprint, and verifies it.
However, if the smart door lock is always put in the wake-up state, it consumes too much power. If the intelligent door lock is not in the awakening state, the user is required to activate the intelligent door lock, and the unlocking has hysteresis and is inconvenient. If the user is determined to unlock by sensing means such as an infrared sensor, any person or object is positioned in front of the door, the intelligent door lock can be awakened, and the unlocking is inaccurate.
In the prior art, under the condition of no unlocking hysteresis, the intelligent door lock has the technical problem of high power consumption when being in an awakening state for a long time.
Disclosure of Invention
The embodiment of the invention provides a method for awakening an intelligent door lock, a sensor, the intelligent door lock and electronic equipment, and aims to at least solve the technical problem that the intelligent door lock is in an awakened state for a long time and has high power consumption.
According to an aspect of an embodiment of the present invention, there is provided a method for waking up an intelligent door lock, including: acquiring a plurality of opening time points of the intelligent door lock; clustering the starting time points to obtain a plurality of clustering time points; determining a wakeup time point before each clustering time point to obtain a plurality of wakeup time points; and awakening the intelligent door lock when the current time point reaches any one of the plurality of awakening time points.
According to another aspect of the embodiments of the present invention, there is provided a sensor of an intelligent door lock, including: the acquisition module is used for acquiring a plurality of opening time points of the intelligent door lock; the clustering module is used for clustering the starting time points to obtain a plurality of clustering time points; a determining module, configured to determine a wake-up time point before each of the clustering time points to obtain a plurality of wake-up time points; and the awakening module is used for awakening the intelligent door lock when the current time point reaches any one of the awakening time points.
As an optional example, the obtaining module includes: a first determination unit configured to set a time point at which the smart door lock is unlocked after being installed as a time point among the plurality of unlocking time points; or a second determining unit, configured to take a time point of each time of N times of latest unlocking of the smart door lock as a time point of the plurality of unlocking time points, where N is a positive integer.
As an optional example, the clustering module includes: the first conversion unit is used for converting each starting time point into a numerical value to obtain a plurality of numerical values; a deleting unit configured to delete a value out of the predetermined section from the plurality of values; a third determining unit configured to cluster the remaining plurality of numerical values into a plurality of target values; a second conversion unit, configured to convert each of the target values into one of the clustering time points.
As an optional example, the clustering module further includes: and a merging unit configured to merge at least two target values, which have an absolute value difference smaller than a first threshold, into one target value, when there are at least two target values among the plurality of target values.
As an optional example, the determining module includes: a fourth determining unit, configured to take a time point M time units before one of the clustering time points as one of the wake-up time points, where M is a positive integer.
As an optional example, the sensor further includes: an adjusting unit, configured to increase the value of M when the smart door lock is waken up but the smart door lock does not receive user verification information; and a fifth determining unit, configured to, when the smart door lock is woken up and the smart door lock receives the user verification information, take a time period from when the smart door lock is woken up to when the smart door lock receives the user verification information as the M time units.
As an optional example, the sensor further includes: the control module is used for waking up the intelligent door lock when the current time point reaches any one of the plurality of waking time points, and unlocking the intelligent door lock when the user verification information is correct after the intelligent door lock acquires the user verification information; after waking up the intelligent door lock, under the condition that the user verification information is not received after a period of time, the intelligent door lock is placed in a dormant state, wherein the energy consumed by the intelligent door lock in the dormant state is less than that consumed by the intelligent door lock in the waking state.
According to still another aspect of an embodiment of the present invention, there is provided an intelligent door lock including: the acquisition module is used for acquiring a plurality of opening time points of the intelligent door lock; the clustering module is used for clustering the starting time points to obtain a plurality of clustering time points; a determining module, configured to determine a wake-up time point before each of the clustering time points to obtain a plurality of wake-up time points; and the awakening module is used for awakening the intelligent door lock when the current time point reaches any one of the awakening time points.
According to another aspect of the embodiments of the present invention, there is also provided a storage medium having a computer program stored therein, wherein the computer program is executed by a processor to perform the above method for waking up an intelligent door lock.
According to another aspect of the embodiments of the present invention, there is also provided an electronic device, including a memory and a processor, where the memory stores a computer program, and the processor is configured to execute the above method for waking up an intelligent door lock through the computer program.
In the embodiment of the invention, a plurality of opening time points of the intelligent door lock are acquired; clustering the starting time points to obtain a plurality of clustering time points; determining a wakeup time point before each clustering time point to obtain a plurality of wakeup time points; according to the method, the opening rules of the intelligent door lock can be determined by acquiring a plurality of opening time points of the intelligent door lock and clustering a plurality of clustering time points in the method under the condition that the current time point reaches any one of the plurality of awakening time points, and the influence of other people or objects except for the user is eliminated by clustering the opening time points of the intelligent door lock, and finally the awakening time point before the clustering time point is determined, so that the intelligent door lock can be awakened before the door opening rule of the user, the aim of awakening the intelligent door lock before the door opening according to the unlocking rule of the user is fulfilled, the intelligent door lock is prevented from being continuously in the awakening state for a long time, and the technical problem that the power consumption of the intelligent door lock is high when the power consumption of the intelligent door lock is in the awakening state for a long time is solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
FIG. 1 is a flow diagram of an alternative method of waking an intelligent door lock, according to an embodiment of the present invention;
FIG. 2 is a flow chart illustrating a clustering process of an alternative method for waking up a smart door lock according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of an alternative sensor configuration for an intelligent door lock, according to an embodiment of the present invention;
FIG. 4 is a schematic structural diagram of an alternative intelligent door lock according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of an alternative electronic device according to an embodiment of the invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
According to a first aspect of the embodiments of the present invention, there is provided a method for waking up an intelligent door lock, optionally, as shown in fig. 1, the method includes:
s102, acquiring a plurality of opening time points of the intelligent door lock;
s104, clustering the starting time points to obtain a plurality of clustering time points;
s106, determining the awakening time point before each clustering time point to obtain a plurality of awakening time points;
and S108, awakening the intelligent door lock when the current time point reaches any one of the plurality of awakening time points.
The opening time point in this embodiment refers to a time point at which the intelligent door lock is successfully opened. If the intelligent door lock is not opened after being awakened, the opening time point is not recorded. The clustering time point in this embodiment may be a time point obtained by clustering the start time points. The clustering time points can embody the opening rule of the intelligent door lock. The wake-up time point in this embodiment may be a time point before the clustering time point. The time interval may be set. For example, 1 minute, 10 minutes, etc.
Taking the user returning home as an example, a plurality of opening time points of the user opening the door are obtained, and if the door opening habit of the user in 1 month is that the user gets home to unlock at 6 o' clock at night. Other times sporadically have points in time to unlock. And clustering the plurality of opening time points to obtain clustering time points. The clustering time point is about 6 points (this embodiment is merely an example, and there may be a plurality of clustering time points). The wake-up time point before the clustering time point is then determined, e.g. 5 points 50. The intelligent door lock is awakened at 5 points 50, the user can directly unlock the lock when arriving at home at 6 points, the intelligent door lock is awakened when arriving at home, hysteresis is caused, and energy waste is caused because the intelligent door lock is not awakened all day long.
As an alternative example, the acquiring the plurality of opening time points of the intelligent door lock includes:
taking the opened time point of the intelligent door lock after being installed as the time point of the plurality of opening time points; or
And taking the time point of each time of N times of the latest opening of the intelligent door lock as the time point of the plurality of opening time points, wherein N is a positive integer.
In this embodiment, the unlocking time point of the user can be obtained by acquiring historical data of the user. For example, the time point of each opening after the intelligent door lock is installed is obtained as an opening time point. Or, the time point of each time the smart door lock is opened within a predetermined period of time after the smart door lock is installed is taken as an opening time point. And if the data acquisition interval is set after installation, acquiring sample data at the starting time point in the data acquisition interval. Or, the latest N times of opening are collected, the opening time point of each opening. For example, the last 2000 actuations, 2000 actuation time points were obtained. When there is a new opening time point, the old opening time point can be replaced.
By the method, a plurality of opening time points can be collected for clustering.
As an optional example, the clustering the plurality of opening time points to obtain a plurality of clustering time points includes:
converting each opening time point into a numerical value to obtain a plurality of numerical values;
deleting the numerical values out of the preset interval from the plurality of numerical values;
clustering the remaining plurality of values into a plurality of target values;
converting each of the target values into one of the clustering time points.
In this embodiment, the start time points are clustered, and a plurality of clustering time points can be obtained. The clustered time points may represent a user's habit of unlocking time. In clustering, the starting time point may be converted first. The conversion may convert the on time point in time format to a numerical value. When switching, the number of seconds can be counted directly, and the 24-hour day can be switched to a value between 0 and 86399(60 × 24-1). If the value is not between 0 and 86399, the data is incorrect and is deleted. The remaining correct values can be clustered to obtain multiple target values. For example, 25200(7 pointing), 28800(8 pointing), 64800(18 pointing), 68400(19 pointing) are obtained by clustering, and then converted back to time points, so as to obtain a plurality of clustering time points.
As an optional example, the method further includes:
when there are at least two target values having an absolute value difference smaller than a first threshold value among the plurality of target values, the at least two target values are combined into one target value.
Optionally, in this embodiment, if multiple clustering time points are obtained by clustering, similar clustering time points may be merged. For example, a first threshold value may be set, such as half an hour, and it is determined whether the interval between the clustering time points is greater than half an hour, and if it is less than or equal to half an hour, the clustering time points may be clustered into one clustering time point. The half hour is only an example and is adjustable. Clustering a plurality of clustering time points into one clustering time point may be taking an average value or one of them.
As an optional example, the determining a wake-up time point before each of the clustering time points to obtain a plurality of wake-up time points includes:
and taking a time point M time units before one clustering time point as the awakening time point, wherein M is a positive integer.
Optionally, the M time units represent a period of time. M may be a positive integer, and the time unit may be, but is not limited to, seconds, milliseconds, and the like. For example, the time point of the first 1 minute of the clustering time point is taken as the wake-up time point. If the clustering time point is 6 o ' clock late, which indicates that the habit of the user is to open the door at 6 o ' clock home at night, 5 o ' clock 59 may be used as the wake-up time point to wake up the smart door lock. The user can directly check and open the door at 6 o' clock home without waking up the intelligent door lock at home. The M time units may be set as the case may be.
As an optional example, the method further includes:
increasing the value of M under the condition that the intelligent door lock is awakened but the intelligent door lock does not receive user verification information;
and under the condition that the intelligent door lock is awakened and receives the user verification information, taking the time length from the awakening of the intelligent door lock to the receiving of the user verification information by the intelligent door lock as the M time units.
In this embodiment, M time units can be adjusted according to actual conditions, so that the wakeup time point can be ensured to be more accurate. If the user verification information is not received after the intelligent door lock is awakened (after a period of time after the intelligent door lock is awakened, if the user verification information is not received, the intelligent door lock is continuously set to be in a dormant state), the fact that the user does not unlock after the intelligent door lock is awakened is shown. The reason is that the user does not sleep at home because the setting of the M time units is too short. Therefore, the time length of M time units is increased. The value of M may be increased. And if the user unlocks after awakening the intelligent door lock, the time length from awakening the intelligent door lock to unlocking of the user can be checked, and the time length is used as M time units, or the time length is greater than the time length set by the M time units.
As an optional example, after waking up the intelligent door lock when the current time point reaches any one of the plurality of wake-up time points, the method further includes:
after the intelligent door lock acquires user verification information, opening the intelligent door lock under the condition that the user verification information is correct;
after waking up the intelligent door lock, under the condition that the user verification information is not received after a period of time, the intelligent door lock is placed in a dormant state, wherein the energy consumed by the intelligent door lock in the dormant state is less than that consumed by the intelligent door lock in the waking state.
In this embodiment, after waking up the intelligent door lock, if the user wants to unlock, at least one of the ways of checking the fingerprint, inputting the password, voice, motion, face recognition, etc. may be used for checking. And unlocking the lock if the verification is successful, and replacing the old opening time point with the unlocking time point.
If the user is not checked after waking up for a while, the user sleeps again.
Fig. 2 is a clustering flowchart of the present embodiment. In the embodiment, each unlocking operation can record the unlocking time point and transmit the unlocking time point into the user habit algorithm. And acquiring the opening time point, converting the opening time point into a numerical value with the unit of second, judging the reasonability of the opening time point, and discarding and exiting if the opening time point does not belong to the interval of 0-86399 (0 point to 23 points, 59 minutes and 59 seconds). Reasonable data will be inserted into the sample point set, which has an upper limit of 2000 by default. When the number exceeds the upper limit, the new data will replace the old data with a first-in-first-out rule. After data is inserted, whether a cluster center point set is created or not is judged, if not, a default cluster center point set is created, the default center point set has four values of 25200(7 click), 28800(8 click), 64800(18 click) and 68400(19 click), and the exit is finished. And if the default cluster center point set is created, calling a K-Means algorithm to perform cluster analysis on the sample point set. And after the clustering analysis is finished, judging whether a sample set of a certain clustering central point exists or not according to the output result, wherein the number of the sample points of a certain side exceeds 10, if so, calculating the central point values of all the sample points of the side, and if not, outputting the clustering analysis result. A plurality of clustering time points are obtained. And when the new central point exists and is calculated, judging whether the absolute value of the difference value between the value of the central point and the value of the original clustering central point exceeds 1800(30 minutes), if so, taking the point as the new clustering central point, inserting the new clustering central point into the clustering central point set, and performing the K-Means clustering analysis again. And if not, outputting the sample set of each cluster center point. After the sample sets of the clustering center points are output, according to the output result, the time period from the user to the home in daily life can be intuitively analyzed according to the size of the sample sets. Along with the increase of the number of times of opening the door, the richer the sample point set, the more accurate the user habit portrait will be.
If the intelligent door lock has the functions that the auxiliary detection sensor is used for detecting the approach of the user and awakening, the result can be output through the algorithm, the auxiliary detection sensor is started in the time period when the user goes home daily, and the intelligent door lock is in a closed state in other time periods. The user starts the sensor detection before returning home, and the user unlocks when arriving home without waiting and keeping the sensor always on. The electric quantity of the intelligent door lock is saved. The door lock can be unlocked by checking the fingerprint or the face or the pupil or the sound or the action or the password and the like through the sensor. If the intelligent door lock has the linkage function, the time period for the user to go home can be judged through the output result of the user habit algorithm, and a corresponding home-going scene is made for the user in advance, so that the system is more intelligent.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present invention is not limited by the order of acts, as some steps may occur in other orders or concurrently in accordance with the invention. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required by the invention.
According to another aspect of the embodiments of the present application, there is also provided a sensor for an intelligent door lock, as shown in fig. 3, including:
an obtaining module 302, configured to obtain multiple unlocking time points of the smart door lock;
a clustering module 304, configured to cluster the plurality of start time points to obtain a plurality of clustering time points;
a determining module 306, configured to determine a wake-up time point before each of the clustering time points to obtain multiple wake-up time points;
and a wake-up module 308, configured to wake up the sensor of the intelligent door lock when the current time point reaches any one of the wake-up time points.
The sensor in this embodiment may be a sensor for verifying user information and determining whether to unlock the lock.
The opening time point in this embodiment refers to a time point at which the intelligent door lock is successfully opened. And if the intelligent door lock is not opened after being awakened, the opening time point is not recorded. The clustering time point in this embodiment may be a time point obtained by clustering the start time points. The clustering time points can embody the opening rule of the intelligent door lock. The wake-up time point in this embodiment may be a time point before the clustering time point. The time interval may be set. For example, 1 minute, 10 minutes, etc.
If the sensor is on for a long time, the power will be wasted. If the lock is opened when the user arrives at home to unlock, hysteresis exists, and the user is required to wait. The present sensor solves this problem. Taking the user returning home as an example, a plurality of opening time points of the user opening the door are obtained, and if the door opening habit of the user in 1 month is that the user gets home to unlock at 6 o' clock at night. Other times sporadically have points in time to unlock. And clustering the plurality of opening time points to obtain clustering time points. The clustering time point is about 6 points (this embodiment is merely an example, and there may be a plurality of clustering time points). The wake-up time point before the clustering time point is then determined, e.g. 5 points 50. The intelligent door lock is awakened at 5 points 50, the user can directly unlock the lock when arriving at home at 6 points, the intelligent door lock is awakened when arriving at home, hysteresis is caused, and energy waste is caused because the intelligent door lock is not awakened all day long.
As an optional example, the obtaining module includes:
a first determination unit configured to set a time point at which the smart door lock is unlocked after being installed as a time point among the plurality of unlocking time points; or
And a second determining unit, configured to take a time point of each time of N times of latest unlocking of the smart door lock as a time point of the plurality of unlocking time points, where N is a positive integer.
In this embodiment, the unlocking time point of the user can be obtained by acquiring historical data of the user. For example, the time point of each opening after the intelligent door lock is installed is obtained as an opening time point. Or, the time point of each time the smart door lock is opened within a predetermined period of time after the smart door lock is installed is taken as an opening time point. And if the data acquisition interval is set after installation, acquiring sample data at the starting time point in the data acquisition interval. Or, the latest N times of opening are collected, the opening time point of each opening. For example, the last 2000 actuations, 2000 actuation time points were obtained. When there is a new opening time point, the old opening time point can be replaced.
By the method, a plurality of opening time points can be collected for clustering.
As an optional example, the clustering module includes:
the first conversion unit is used for converting each starting time point into a numerical value to obtain a plurality of numerical values;
a deleting unit configured to delete a value out of the predetermined section from the plurality of values;
a third determining unit configured to cluster the remaining plurality of numerical values into a plurality of target values;
a second conversion unit, configured to convert each of the target values into one of the clustering time points.
In this embodiment, the start time points are clustered, and a plurality of clustering time points can be obtained. The clustered time points may represent a user's habit of unlocking time. In clustering, the starting time point may be converted first. The conversion may convert the on time point in time format to a numerical value. When switching, the number of seconds can be counted directly, and the 24-hour day can be switched to a value between 0 and 86399(60 × 24-1). If the value is not between 0 and 86399, the data is incorrect and is deleted. The remaining correct values can be clustered to obtain multiple target values. For example, 25200(7 pointing), 28800(8 pointing), 64800(18 pointing), 68400(19 pointing) are obtained by clustering, and then converted back to time points, so as to obtain a plurality of clustering time points.
As an optional example, the clustering module further includes:
and a merging unit configured to merge at least two target values, which have an absolute value difference smaller than a first threshold, into one target value, when there are at least two target values among the plurality of target values.
Optionally, in this embodiment, if multiple clustering time points are obtained by clustering, similar clustering time points may be merged. For example, a first threshold value may be set, such as half an hour, and it is determined whether the interval between the clustering time points is greater than half an hour, and if it is less than or equal to half an hour, the clustering time points may be clustered into one clustering time point. The half hour is only an example and is adjustable. Clustering a plurality of clustering time points into one clustering time point may be taking an average value or one of them.
As an optional example, the determining module includes:
a fourth determining unit, configured to take a time point M time units before one of the clustering time points as one of the wake-up time points, where M is a positive integer.
Optionally, the M time units represent a period of time. M may be a positive integer, and the time unit may be, but is not limited to, seconds, milliseconds, and the like. For example, the time point of the first 1 minute of the clustering time point is taken as the wake-up time point. If the clustering time point is 6 o ' clock late, which indicates that the habit of the user is to open the door at 6 o ' clock home at night, 5 o ' clock 59 may be used as the wake-up time point to wake up the smart door lock. The user can directly check and open the door at 6 o' clock home without waking up the intelligent door lock at home. The M time units may be set as the case may be.
As an optional example, the sensor further includes:
an adjusting unit, configured to increase the value of M when the smart door lock is waken up but the smart door lock does not receive user verification information;
and a fifth determining unit, configured to, when the smart door lock is woken up and the smart door lock receives the user verification information, take a time period from when the smart door lock is woken up to when the smart door lock receives the user verification information as the M time units.
In this embodiment, M time units can be adjusted according to actual conditions, so that the wakeup time point can be ensured to be more accurate. If the user verification information is not received after the intelligent door lock is awakened (after a period of time after the intelligent door lock is awakened, if the user verification information is not received, the intelligent door lock is continuously set to be in a dormant state), the fact that the user does not unlock after the intelligent door lock is awakened is shown. The reason is that the user does not sleep at home because the setting of the M time units is too short. Therefore, the time length of M time units is increased. The value of M may be increased. And if the user unlocks after awakening the intelligent door lock, the time length from awakening the intelligent door lock to unlocking of the user can be checked, and the time length is used as M time units, or the time length is greater than the time length set by the M time units.
As an optional example, the sensor further includes:
the control module is used for waking up the intelligent door lock when the current time point reaches any one of the plurality of waking time points, and unlocking the intelligent door lock when the user verification information is correct after the intelligent door lock acquires the user verification information; after waking up the intelligent door lock, under the condition that the user verification information is not received after a period of time, the intelligent door lock is placed in a dormant state, wherein the energy consumed by the intelligent door lock in the dormant state is less than that consumed by the intelligent door lock in the waking state.
In this embodiment, after waking up the intelligent door lock, if the user wants to unlock, at least one of the ways of checking the fingerprint, inputting the password, voice, motion, face recognition, etc. may be used for checking. And unlocking the lock if the verification is successful, and replacing the old opening time point with the unlocking time point.
If the user is not checked after waking up for a while, the user sleeps again.
For other examples of this embodiment, please refer to the above examples, which are not described herein.
According to another aspect of the embodiments of the present application, there is also provided an intelligent door lock, as shown in fig. 4, including:
an obtaining module 402, configured to obtain multiple opening time points of an intelligent door lock;
a clustering module 404, configured to cluster the plurality of start time points to obtain a plurality of clustering time points;
a determining module 406, configured to determine a wake-up time point before each of the clustering time points to obtain multiple wake-up time points;
and a wake-up module 408, configured to wake up the smart door lock when the current time point reaches any one of the wake-up time points.
The intelligent door lock in this embodiment may include logic or means to verify user information. Whether to unlock is determined by checking the user information.
The opening time point in this embodiment refers to a time point at which the intelligent door lock is successfully opened. And if the intelligent door lock is not opened after being awakened, the opening time point is not recorded. The clustering time point in this embodiment may be a time point obtained by clustering the start time points. The clustering time points can embody the opening rule of the intelligent door lock. The wake-up time point in this embodiment may be a time point before the clustering time point. The time interval may be set. For example, 1 minute, 10 minutes, etc.
If the intelligent door lock is in the awakening state for a long time, the electric quantity can be wasted. If the lock is opened when the user arrives at home to unlock, hysteresis exists, and the user is required to wait. This problem has been solved to this intelligence lock. Taking the user returning home as an example, a plurality of opening time points of the user opening the door are obtained, and if the door opening habit of the user in 1 month is that the user gets home to unlock at 6 o' clock at night. Other times sporadically have points in time to unlock. And clustering the plurality of opening time points to obtain clustering time points. The clustering time point is about 6 points (this embodiment is merely an example, and there may be a plurality of clustering time points). The wake-up time point before the clustering time point is then determined, e.g. 5 points 50. The intelligent door lock is awakened at 5 points 50, the user can directly unlock the lock when arriving at home at 6 points, the intelligent door lock is awakened when arriving at home, hysteresis is caused, and energy waste is caused because the intelligent door lock is not awakened all day long.
As an optional example, the obtaining module includes:
a first determination unit configured to set a time point at which the smart door lock is unlocked after being installed as a time point among the plurality of unlocking time points; or
And a second determining unit, configured to take a time point of each time of N times of latest unlocking of the smart door lock as a time point of the plurality of unlocking time points, where N is a positive integer.
In this embodiment, the unlocking time point of the user can be obtained by acquiring historical data of the user. For example, the time point of each opening after the intelligent door lock is installed is obtained as an opening time point. Or, the time point of each time the smart door lock is opened within a predetermined period of time after the smart door lock is installed is taken as an opening time point. And if the data acquisition interval is set after installation, acquiring sample data at the starting time point in the data acquisition interval. Or, the latest N times of opening are collected, the opening time point of each opening. For example, the last 2000 actuations, 2000 actuation time points were obtained. When there is a new opening time point, the old opening time point can be replaced.
By the method, a plurality of opening time points can be collected for clustering.
As an optional example, the clustering module includes:
the first conversion unit is used for converting each starting time point into a numerical value to obtain a plurality of numerical values;
a deleting unit configured to delete a value out of the predetermined section from the plurality of values;
a third determining unit configured to cluster the remaining plurality of numerical values into a plurality of target values;
a second conversion unit, configured to convert each of the target values into one of the clustering time points.
In this embodiment, the start time points are clustered, and a plurality of clustering time points can be obtained. The clustered time points may represent a user's habit of unlocking time. In clustering, the starting time point may be converted first. The conversion may convert the on time point in time format to a numerical value. When switching, the number of seconds can be counted directly, and the 24-hour day can be switched to a value between 0 and 86399(60 × 24-1). If the value is not between 0 and 86399, the data is incorrect and is deleted. The remaining correct values can be clustered to obtain multiple target values. For example, 25200(7 pointing), 28800(8 pointing), 64800(18 pointing), 68400(19 pointing) are obtained by clustering, and then converted back to time points, so as to obtain a plurality of clustering time points.
As an optional example, the clustering module further includes:
and a merging unit configured to merge at least two target values, which have an absolute value difference smaller than a first threshold, into one target value, when there are at least two target values among the plurality of target values.
Optionally, in this embodiment, if multiple clustering time points are obtained by clustering, similar clustering time points may be merged. For example, a first threshold value may be set, such as half an hour, and it is determined whether the interval between the clustering time points is greater than half an hour, and if it is less than or equal to half an hour, the clustering time points may be clustered into one clustering time point. The half hour is only an example and is adjustable. Clustering a plurality of clustering time points into one clustering time point may be taking an average value or one of them.
As an optional example, the determining module includes:
a fourth determining unit, configured to take a time point M time units before one of the clustering time points as one of the wake-up time points, where M is a positive integer.
Optionally, the M time units represent a period of time. M may be a positive integer, and the time unit may be, but is not limited to, seconds, milliseconds, and the like. For example, the time point of the first 1 minute of the clustering time point is taken as the wake-up time point. If the clustering time point is 6 o ' clock late, which indicates that the habit of the user is to open the door at 6 o ' clock home at night, 5 o ' clock 59 may be used as the wake-up time point to wake up the smart door lock. The user can directly check and open the door at 6 o' clock home without waking up the intelligent door lock at home. The M time units may be set as the case may be.
As an optional example, the sensor further includes:
an adjusting unit, configured to increase the value of M when the smart door lock is waken up but the smart door lock does not receive user verification information;
a fifth determining unit, configured to set, as the M time units, a time period from when the smart door lock is woken up to when the smart door lock receives the user verification information when the smart door lock wakes up and the user verification information is received by the smart door lock.
In this embodiment, M time units can be adjusted according to actual conditions, so that the wakeup time point can be ensured to be more accurate. If the user verification information is not received after the intelligent door lock is awakened (after a period of time after the intelligent door lock is awakened, if the user verification information is not received, the intelligent door lock is continuously set to be in a dormant state), the fact that the user does not unlock after the intelligent door lock is awakened is shown. The reason is that the user does not sleep at home because the setting of the M time units is too short. Therefore, the time length of M time units is increased. The value of M may be increased. And if the user unlocks after awakening the intelligent door lock, the time length from awakening the intelligent door lock to unlocking of the user can be checked, and the time length is used as M time units, or the time length is greater than the time length set by the M time units.
As an optional example, the sensor further includes:
the control module is used for waking up the intelligent door lock when the current time point reaches any one of the plurality of waking time points, and unlocking the intelligent door lock when the user verification information is correct after the intelligent door lock acquires the user verification information; after waking up the intelligent door lock, under the condition that the user verification information is not received after a period of time, the intelligent door lock is placed in a dormant state, wherein the energy consumed by the intelligent door lock in the dormant state is less than that consumed by the intelligent door lock in the waking state.
In this embodiment, after waking up the intelligent door lock, if the user wants to unlock, at least one of the ways of checking the fingerprint, inputting the password, voice, motion, face recognition, etc. may be used for checking. And unlocking the lock if the verification is successful, and replacing the old opening time point with the unlocking time point.
If the user is not checked after waking up for a while, the user sleeps again.
For other examples of this embodiment, please refer to the above examples, which are not described herein.
Fig. 5 is a block diagram of an alternative electronic device according to an embodiment of the present application, as shown in fig. 5, including a processor 502, a communication interface 504, a memory 506, and a communication bus 508, where the processor 502, the communication interface 504, and the memory 506 are communicated with each other via the communication bus 508, and where,
a memory 506 for storing a computer program;
the processor 502, when executing the computer program stored in the memory 506, implements the following steps:
acquiring a plurality of opening time points of the intelligent door lock;
clustering the starting time points to obtain a plurality of clustering time points;
determining a wakeup time point before each clustering time point to obtain a plurality of wakeup time points;
and when the current time point reaches any one of the plurality of awakening time points, awakening the intelligent door lock.
Alternatively, in this embodiment, the communication bus may be a PCI (Peripheral Component Interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, or the like. The communication bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in FIG. 5, but this is not intended to represent only one bus or type of bus. The communication interface is used for communication between the electronic equipment and other equipment.
The memory may include RAM, and may also include non-volatile memory (non-volatile memory), such as at least one disk memory. Alternatively, the memory may be at least one memory device located remotely from the processor.
The processor may be a general-purpose processor, and may include but is not limited to: a CPU (Central Processing Unit), an NP (Network Processor), and the like; but also a DSP (Digital Signal Processing), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component.
Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiments, and this embodiment is not described herein again.
It can be understood by those skilled in the art that the structure shown in fig. 5 is only an illustration, and the device implementing the method for waking up the smart door lock may be a terminal device, and the terminal device may be a terminal device such as a smart phone (e.g., an Android phone, an iOS phone, etc.), a tablet computer, a palmtop computer, a Mobile Internet Device (MID), a PAD, and the like. Fig. 5 is a diagram illustrating a structure of the electronic device. For example, the electronic device may also include more or fewer components (e.g., network interfaces, display devices, etc.) than shown in FIG. 5, or have a different configuration than shown in FIG. 5.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by a program instructing hardware associated with the terminal device, where the program may be stored in a computer-readable storage medium, and the storage medium may include: flash disk, ROM, RAM, magnetic or optical disk, and the like.
According to yet another aspect of the embodiments of the present invention, there is also provided a computer-readable storage medium, in which a computer program is stored, wherein the computer program is executed by a processor to perform the steps of the above method for waking up an intelligent door lock.
Alternatively, in this embodiment, a person skilled in the art may understand that all or part of the steps in the methods of the foregoing embodiments may be implemented by a program instructing hardware associated with the terminal device, where the program may be stored in a computer-readable storage medium, and the storage medium may include: flash disks, Read-Only memories (ROMs), Random Access Memories (RAMs), magnetic or optical disks, and the like.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
The integrated unit in the above embodiments, if implemented in the form of a software functional unit and sold or used as a separate product, may be stored in the above computer-readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing one or more computer devices (which may be personal computers, servers, network devices, etc.) to execute all or part of the steps of the method according to the embodiments of the present invention.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the several embodiments provided in the present application, it should be understood that the disclosed client may be implemented in other manners. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one type of division of logical functions, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (10)
1. A method of waking an intelligent door lock, comprising:
acquiring a plurality of opening time points of the intelligent door lock;
clustering the starting time points to obtain a plurality of clustering time points;
determining a wakeup time point before each clustering time point to obtain a plurality of wakeup time points;
and awakening the intelligent door lock when the current time point reaches any one of the plurality of awakening time points.
2. The method of claim 1, wherein the obtaining the plurality of opening time points of the smart door lock comprises:
taking the opened time point of the intelligent door lock after being installed as a time point of the plurality of opening time points; or
And taking the time point of each time of N times of latest opening of the intelligent door lock as the time point of the plurality of opening time points, wherein N is a positive integer.
3. The method of claim 1, wherein clustering the plurality of on-time points to obtain a plurality of clustered time points comprises:
converting each starting time point into a numerical value to obtain a plurality of numerical values;
deleting the numerical values out of the plurality of numerical values, wherein the numerical values are positioned outside a preset interval;
clustering the remaining plurality of values into a plurality of target values;
converting each of the target values into one of the clustering time points.
4. The method of claim 3, further comprising:
in the case where there are at least two target values whose absolute values differ by less than a first threshold value among the plurality of target values, the at least two target values are combined into one target value.
5. The method of claim 1, wherein determining a wake-up time point before each of the clustering time points to obtain a plurality of wake-up time points comprises:
and taking a time point M time units before one clustering time point as one awakening time point, wherein M is a positive integer.
6. The method of claim 5, further comprising:
increasing the value of M under the condition that the intelligent door lock is awakened but does not receive user verification information;
and under the condition that the intelligent door lock is awakened and the intelligent door lock receives the user verification information, taking the time length from the awakening of the intelligent door lock to the receiving of the user verification information by the intelligent door lock as the M time units.
7. The method according to any one of claims 1 to 6, wherein after waking up the smart door lock in case that a current time point reaches any one of the plurality of wake-up time points, the method further comprises:
after the intelligent door lock acquires user verification information, the intelligent door lock is opened under the condition that the user verification information is correct;
after waking up the intelligent door lock, under the condition that the user verification information is not received after a period of time, the intelligent door lock is placed in a dormant state, wherein the energy consumed by the intelligent door lock in the dormant state is less than that consumed by the intelligent door lock in the waking state.
8. A sensor for an intelligent door lock, comprising:
the acquisition module is used for acquiring a plurality of opening time points of the intelligent door lock;
the clustering module is used for clustering the starting time points to obtain a plurality of clustering time points;
the determining module is used for determining the awakening time point before each clustering time point to obtain a plurality of awakening time points;
and the awakening module is used for awakening the intelligent door lock when the current time point reaches any one of the awakening time points.
9. An intelligent door lock, comprising:
the acquisition module is used for acquiring a plurality of opening time points of the intelligent door lock;
the clustering module is used for clustering the starting time points to obtain a plurality of clustering time points;
the determining module is used for determining the awakening time point before each clustering time point to obtain a plurality of awakening time points;
and the awakening module is used for awakening the intelligent door lock when the current time point reaches any one of the awakening time points.
10. An electronic device comprising a memory and a processor, characterized in that the memory has stored therein a computer program, the processor being arranged to execute the method of any of claims 1 to 7 by means of the computer program.
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