CN117197927A

CN117197927A - Intelligent lock control method, intelligent lock control system and intelligent lock

Info

Publication number: CN117197927A
Application number: CN202210620821.XA
Authority: CN
Inventors: 赵磊
Original assignee: Huawei Technologies Co Ltd
Current assignee: Huawei Technologies Co Ltd
Priority date: 2022-06-01
Filing date: 2022-06-01
Publication date: 2023-12-08
Also published as: WO2023231968A1

Abstract

The application provides a control method of an intelligent lock, an intelligent lock control system and the intelligent lock, and relates to the technical field of intelligent locks, wherein the method comprises the following steps: under the condition that the threshold calibration triggering condition is met is detected, a calibration mode is entered, a distance sensor is controlled to perform distance detection, n first distances are obtained, and a distance threshold is determined according to the n first distances; under the condition that the unlocking condition is met is detected, controlling the intelligent lock to be unlocked, wherein n is an integer greater than 1, and the unlocking condition comprises: the touch sensor detects a touch signal and the second distance detected by the distance sensor is less than a distance threshold. The technical scheme provided by the application can improve the safety of induction unlocking.

Description

Intelligent lock control method, intelligent lock control system and intelligent lock

Technical Field

The present application relates to the field of intelligent locks, and in particular, to a control method for an intelligent lock, an intelligent lock control system, and an intelligent lock.

Background

With the development of technology and the improvement of living standard of people, various intelligent products gradually enter the lives of people, wherein intelligent locks are accepted by more and more consumers by virtue of convenience, safety and the like.

The intelligent lock is widely applied to the fields of intelligent home, intelligent vehicles and the like, and taking the intelligent door lock in the field of intelligent home as an example, when the intelligent lock is unlocked, a user can unlock the door through password authentication, fingerprint authentication, face authentication and the like, and unlock the door through rotating or sliding a door handle. In order to be more convenient for a user to use, some intelligent locks also have an induction unlocking function, and can be automatically unlocked when a handle in the door is detected to be touched.

However, the above-mentioned sensing unlocking function is easily triggered by mistake under the conditions of air humidity, high temperature, etc., resulting in serious safety problems.

Disclosure of Invention

In view of the above, the present application provides a control method of an intelligent lock, an intelligent lock control system and an intelligent lock, which are used for improving the security of the intelligent lock.

In order to achieve the above object, in a first aspect, an embodiment of the present application provides a control method of an intelligent lock, where the intelligent lock has a distance sensor and a touch sensor, the method includes:

under the condition that the threshold calibration triggering condition is met is detected, a calibration mode is entered, the distance sensor is controlled to perform distance detection, after n first distances are obtained, a distance threshold is determined according to the n first distances, and n is an integer greater than 1;

And controlling the intelligent lock to be unlocked under the condition that the unlocking condition is detected to be met, wherein the unlocking condition comprises the following steps: the touch sensor detects a touch signal and the second distance detected by the distance sensor is less than the distance threshold.

According to the technical scheme provided by the embodiment of the application, when the intelligent lock is subjected to induction unlocking, the distance authentication is performed in addition to the touch authentication, and the intelligent lock is unlocked under the condition that both the touch authentication and the distance authentication pass, so that the safety of induction unlocking can be improved; in addition, in the technical scheme, the intelligent lock can enter a calibration mode when meeting a threshold calibration triggering condition, the distance sensor is controlled to perform distance detection, the distance threshold is calibrated according to the detected distance, then when induction unlocking is performed, distance authentication is performed based on the calibrated distance threshold, and therefore the influence of the installation environment on the distance authentication can be reduced, and the safety of induction unlocking is further improved.

In a possible implementation manner of the first aspect, the calibration mode includes: a manual calibration mode, and/or an automatic calibration mode;

the threshold calibration triggering conditions corresponding to the manual calibration mode comprise: receiving a first instruction, wherein the first instruction is input by a user on the intelligent lock, or is sent by the mobile equipment based on user operation;

The threshold calibration triggering conditions corresponding to the automatic calibration mode comprise: reaching the target point in time.

In the embodiment, the manual calibration mode is added in the intelligent lock, so that a user can trigger the intelligent lock to enter the manual calibration mode in a manual calibration mode, the calibration of the distance threshold value is performed, and the use flexibility of the user is improved; through increasing automatic calibration mode in intelligent lock, can make intelligent lock automatic entry automatic calibration mode carry out the demarcation of distance threshold value to can further promote user's convenience of use.

In a possible implementation manner of the first aspect, in the manual calibration mode, the method further includes:

before the distance sensor is controlled to detect the distance, prompt information is sent out, and the prompt information is used for prompting a user to close the door well and keeping the intelligent lock in the door to be unmanned in front.

Through the embodiment, the user can be guided to accurately calibrate the distance threshold, and the accuracy of the calibration result and the convenience of the user are improved.

In a possible implementation manner of the first aspect, after the prompt information is sent, the distance sensor is controlled to perform distance detection under the condition that a second instruction is received, where the second instruction is input by a user on the smart lock, or the mobile device is sent based on user operation. Thus, the convenience of the user can be further improved.

In a possible implementation manner of the first aspect, the target time point is determined according to a switch lock record in a first period of time, and in the first period of time, the smart lock is in a closed state at the target time point every day. Therefore, the user does not need to manually determine the target time point, and the convenience of the user in use can be improved.

In a possible implementation manner of the first aspect, in the manual calibration mode, the controlling the distance sensor to perform distance detection, after obtaining n first distances, determining a distance threshold according to the n first distances includes:

controlling the distance sensor to perform multiple distance detection to obtain n first distances;

determining the distance threshold as the target threshold under the condition that the n first distances are all larger than the target threshold;

and under the condition that at least one first distance is smaller than or equal to the target threshold value, determining the distance threshold value according to first dispersion and first average value corresponding to the n first distances.

The first dispersion is the dispersion of n first distances, the first average value is the average value of the n first distances, and the dispersion can be standard deviation or variance.

In the above embodiment, before determining the distance threshold based on the dispersion and the average value, the comparing process of each first distance and the target threshold is performed, so that when the intelligent lock has no closer shielding object to the position, the calculated amount is reduced, and the processing speed is improved.

In a possible implementation manner of the first aspect, the distance threshold is determined according to the first average value in a case where the first dispersion is smaller than or equal to a dispersion threshold and the first average value is larger than or equal to an average value threshold.

In the above embodiment, when the dispersion and the average value of each first distance measured by the distance sensor are normal, the distance threshold is determined based on the average value, so that the accuracy of the distance threshold calibration result can be improved.

In a possible implementation manner of the first aspect, the method further includes:

and prompting a user that the intelligent latch is in question when the first dispersion is greater than a dispersion threshold or the first average value is smaller than an average value threshold.

Through the embodiment, the distance measurement problem of the distance sensor can be detected, the user can be timely informed of the distance measurement problem, the unstable and inaccurate distance authentication caused by the distance measurement problem is reduced, and therefore the safety and reliability of sensing unlocking are further improved.

In a possible implementation manner of the first aspect, in the automatic calibration mode, the controlling the distance sensor to perform distance detection, after obtaining n first distances, determining a distance threshold according to the n first distances includes:

controlling the distance sensor to perform distance detection to obtain a first distance;

and if the number of the first distances detected in the automatic calibration mode is greater than or equal to the target number, determining the distance threshold according to a second dispersion and a second average value corresponding to the first distances of the target number which are acquired recently, wherein the target number is equal to n.

In the above embodiment, the calibration of the distance threshold may be performed according to the distance data measured in the automatic calibration mode multiple times recently, so that the adopted distance data is richer in the time dimension, and the detection result is more reliable.

In a possible implementation manner of the first aspect, in a case that the second dispersion is smaller than or equal to a dispersion threshold value and the second average value is larger than or equal to an average value threshold value, if the second average value is larger than or equal to a target threshold value, determining that the distance threshold value is the target threshold value; and if the second average value is smaller than the target threshold value, determining the distance threshold value according to the second average value.

and prompting a user that the intelligent latch is in a problem and closing an in-door induction unlocking function under the condition that the second dispersion is smaller than or equal to a dispersion threshold value and the second average value is smaller than an average value threshold value.

Through the embodiment, the distance measurement problem of the distance sensor can be detected, and the user can be timely informed of solving the distance measurement problem, so that the unstable and inaccurate condition of distance authentication caused by the distance measurement problem is reduced, and the safety and reliability of sensing unlocking are further improved; moreover, when the ranging problem is detected, the door inner sensing unlocking function is closed, so that the safety can be further improved.

and receiving a third instruction, and starting or closing the automatic calibration mode, wherein the first instruction is input by a user on the intelligent lock, or the mobile equipment is sent based on user operation.

By the embodiment, the automatic calibration mode can be started or closed by a user according to the requirement, and the use flexibility of the user is improved.

In a second aspect, an embodiment of the present application provides an intelligent lock control device, where the intelligent lock has a distance sensor and a touch sensor, and the device includes:

A processing module for: under the condition that the threshold calibration triggering condition is met is detected, a calibration mode is entered, the distance sensor is controlled to perform distance detection, n first distances are obtained, and a distance threshold is determined according to the n first distances; under the condition that the unlocking condition is met is detected, controlling the intelligent lock to be unlocked, wherein n is an integer greater than 1, and the unlocking condition comprises: the touch sensor detects a touch signal and the second distance detected by the distance sensor is less than the distance threshold.

In a possible implementation manner of the second aspect, the calibration mode includes: a manual calibration mode, and/or an automatic calibration mode;

In a possible implementation manner of the second aspect, the apparatus further includes:

a notification module for: under the manual calibration mode, before the distance sensor is controlled to detect the distance, prompt information is sent out, and the prompt information is used for prompting a user to close the door well and keeping the intelligent lock in the door to be unmanned in front.

In a possible implementation manner of the second aspect, the processing module is specifically configured to: and after the notification module sends the prompt information, under the condition that a second instruction is received, controlling the distance sensor to perform distance detection, wherein the second instruction is input by a user on the intelligent lock or is sent by the mobile equipment based on user operation.

In a possible implementation manner of the second aspect, the target time point is determined according to a switch lock record in a first time period, and in the first time period, the smart lock is in a closed state at the target time point every day.

In a possible implementation manner of the second aspect, the processing module is specifically configured to:

in the manual calibration mode, controlling the distance sensor to perform multiple distance detection to obtain n first distances;

In a possible implementation manner of the second aspect, the processing module is specifically configured to: and determining the distance threshold according to the first average value when the first dispersion is smaller than or equal to a dispersion threshold and the first average value is larger than or equal to an average value threshold.

In a possible implementation manner of the second aspect, the processing module is further configured to:

In a possible implementation manner of the second aspect, the processing module is specifically configured to: in the automatic calibration mode, controlling the distance sensor to perform distance detection to obtain a first distance;

In a possible implementation manner of the second aspect, the processing module is specifically configured to: determining that the distance threshold is the target threshold if the second average value is greater than or equal to a target threshold if the second dispersion is less than or equal to a dispersion threshold and the second average value is greater than or equal to an average value threshold; and if the second average value is smaller than the target threshold value, determining the distance threshold value according to the second average value.

In a possible implementation manner of the second aspect, the notification module is further configured to:

and receiving a third instruction, wherein the third instruction is input by a user on the intelligent lock, or is sent by the mobile equipment based on user operation, and the automatic calibration mode is started or closed.

In a third aspect, an embodiment of the present application provides an intelligent lock control system, including: smart lock and mobile device, wherein:

the mobile device is configured to: responding to a first operation, and sending a first instruction to the intelligent lock;

the intelligent lock is used for: after receiving the first instruction, entering a manual calibration mode, controlling the distance sensor to perform distance detection, and determining a distance threshold according to n first distances after n first distances are obtained; and controlling the intelligent lock to unlock under the condition that the unlocking condition is detected to be met;

Wherein n is an integer greater than 1, and the unlocking condition includes: the touch sensor detects a touch signal and the second distance detected by the distance sensor is less than the distance threshold.

In specific implementation, related steps of manual calibration can be added in configuration guidance in the process of carrying out network configuration on the intelligent lock and the mobile phone. For example, after the communication connection between the smart lock and the mobile device is successfully established, the mobile device may display a "next" option in the device connection interface, where the first operation may be an operation that the user clicks the "next" option; the mobile terminal may also add a manual calibration option to a management interface corresponding to the intelligent lock after completing the network allocation process with the intelligent lock, and the first operation may also be an operation of clicking the manual calibration option by a user.

In a possible implementation manner of the third aspect, the smart lock is further configured to: before the distance sensor is controlled to detect the distance, prompt information is sent out, and the prompt information is used for prompting a user to close the door well and keeping the intelligent lock in the door to be unmanned in front.

In a possible implementation manner of the third aspect, the mobile device is further configured to: responding to a second operation, and sending a second instruction to the intelligent lock;

The smart lock is also for: and under the condition that a second instruction is received, controlling the distance sensor to perform distance detection.

After the mobile terminal sends the first instruction, the mobile terminal can provide a 'start calibration' option and the like, and the second operation can be an operation that the user clicks the 'start calibration' option.

In a possible implementation manner of the third aspect, the smart lock body is configured to:

In a possible implementation manner of the third aspect, the smart lock body is configured to: and determining the distance threshold according to the first average value when the first dispersion is smaller than or equal to a dispersion threshold and the first average value is larger than or equal to an average value threshold.

In a possible implementation manner of the third aspect, the smart lock is further configured to: and prompting a user that the intelligent latch is in question when the first dispersion is greater than a dispersion threshold or the first average value is smaller than an average value threshold.

In a possible implementation manner of the third aspect, the smart lock is further configured to: transmitting a calibration result to the mobile equipment;

the mobile device is further configured to: and displaying the calibration result.

In a possible implementation manner of the third aspect, the smart lock is further configured to: and under the condition that the target time point is detected to be reached, entering an automatic calibration mode, controlling the distance sensor to perform distance detection, and determining a distance threshold value according to m first distances after m first distances are obtained, wherein m is an integer larger than 1.

Wherein m may be equal to n or unequal to n.

In a possible implementation manner of the third aspect, the smart lock body is configured to: controlling the distance sensor to perform distance detection to obtain a first distance;

and if the number of the first distances detected in the automatic calibration mode is greater than or equal to m, determining the distance threshold according to the second dispersion and the second average value corresponding to the m recently acquired first distances.

In a possible implementation manner of the third aspect, the smart lock body is configured to: determining that the distance threshold is the target threshold if the second average value is greater than or equal to a target threshold if the second dispersion is less than or equal to a dispersion threshold and the second average value is greater than or equal to an average value threshold; and if the second average value is smaller than the target threshold value, determining the distance threshold value according to the second average value.

In a possible implementation manner of the third aspect, the smart lock is further configured to: and prompting a user that the intelligent latch is in a problem and closing an in-door induction unlocking function under the condition that the second dispersion is smaller than or equal to a dispersion threshold value and the second average value is smaller than an average value threshold value.

In a possible implementation manner of the third aspect, the smart lock is further configured to:

and receiving a third instruction, wherein the third instruction is input by a user on the intelligent lock, or the mobile equipment is sent based on a third operation input by the user.

The mobile device may provide a switch option corresponding to the automatic calibration mode, and the third operation may be an operation of clicking the switch option by the user.

In a possible implementation manner of the third aspect, the smart lock is further configured to: and after receiving a fourth instruction input by a user, entering the manual calibration mode.

The fourth instruction may be input by a user on a keyboard of the intelligent lock, and after the user inputs a related instruction on the keyboard to enter a management mode (or other modes such as a user setting mode), a target key (for example, a number key "6") may be pressed to input the fourth instruction, so as to trigger the intelligent lock to start a manual calibration function, and enable the intelligent lock to enter the manual calibration mode.

In a fourth aspect, an embodiment of the present application provides an intelligent lock, including: a memory and a processor, the memory for storing a computer program; the processor is configured to perform the method of the first aspect or any implementation of the first aspect when the computer program is invoked.

In a fifth aspect, an embodiment of the present application provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor implements the method according to the first aspect or any implementation of the first aspect.

In a sixth aspect, embodiments of the present application provide a computer program product for, when run on an electronic device, causing the electronic device to perform the method of the first aspect or any implementation of the first aspect.

In a seventh aspect, an embodiment of the present application provides a chip system, including a processor, where the processor is coupled to a memory, and the processor executes a computer program stored in the memory, to implement the method according to the first aspect or any implementation manner of the first aspect. The chip system can be a single chip or a chip module formed by a plurality of chips.

It will be appreciated that the advantages of the second to seventh aspects may be found in the relevant description of the first aspect, and are not described here again.

Drawings

FIG. 1 is a schematic diagram of an intelligent lock control system according to an embodiment of the present application;

fig. 2 is a schematic structural diagram of a mobile device according to an embodiment of the present application;

fig. 3 is a schematic structural diagram of an intelligent lock according to an embodiment of the present application;

FIG. 4 is a schematic diagram of the positions of a distance sensor and a touch sensor in an intelligent lock in a door according to an embodiment of the present application;

FIG. 5 is a schematic diagram of a control process of an intelligent lock according to an embodiment of the present application;

FIG. 6 is a schematic diagram of a manual calibration process according to an embodiment of the present application;

FIGS. 7-10 are schematic views of some user interfaces provided by embodiments of the present application;

FIG. 11 is a schematic diagram of an automatic calibration process according to an embodiment of the present application;

fig. 12 is a schematic structural diagram of an intelligent lock control device according to an embodiment of the present application.

Detailed Description

Embodiments of the present application will be described below with reference to the accompanying drawings in the embodiments of the present application. The terminology used in the description of the embodiments of the application is for the purpose of describing particular embodiments of the application only and is not intended to be limiting of the application. The following embodiments may be combined with each other, and some embodiments may not be repeated for the same or similar concepts or processes.

The intelligent lock control method provided by the embodiment of the application can be applied to an intelligent lock control system. Fig. 1 is a schematic architecture diagram of an intelligent lock control system according to an embodiment of the present application, as shown in fig. 1, taking an intelligent lock as an example of an intelligent door lock in the field of intelligent home, an intelligent lock 200 control system may include: mobile device 100 and smart lock 200.

The mobile device 100 may be an electronic device with control and communication functions, such as a mobile phone, a tablet computer, or an intelligent wearable device, and for convenience of explanation, the mobile phone is taken as an example in the embodiment of the present application.

The mobile device 100 can perform data interaction between the cloud device and the intelligent lock 200, and can also establish close-range communication connection with the intelligent lock 200, and perform data interaction through the established close-range communication connection; among other techniques for establishing a close range communication connection include, but are not limited to: wireless local area networks (wireless local area networks, WLAN) (e.g., wireless fidelity (wireless fidelity, wi-Fi) networks), bluetooth (BT) technology, ultra Wideband (UWB) technology, and the like. A wired communication connection may also be established between the mobile device 100 and the smart lock 200 through a universal serial bus (universal serial bus, USB) interface or the like to provide a more flexible data transmission manner.

Referring to fig. 2, a schematic diagram of one possible structure of a mobile device 100 according to an embodiment of the present application is provided. The mobile device 100 may include a processor 110, an external memory interface 120, an internal memory 121, a usb interface 130, a charge management module 140, a power management module 141, a battery 142, an antenna 1, an antenna 2, a mobile communication module 150, a wireless communication module 160, an audio module 170, a speaker 170A, a receiver 170B, a microphone 170C, an earphone interface 170D, a sensor module 180, keys 190, a motor 191, an indicator 192, a camera 193, a display 194, and a subscriber identity module (subscriber identification module, SIM) card interface 195, etc. The sensor module 180 may include a pressure sensor 180A, a gyro sensor 180B, an air pressure sensor 180C, a magnetic sensor 180D, an acceleration sensor 180E, a distance sensor 180F, a proximity sensor 180G, a fingerprint sensor 180H, a temperature sensor 180J, a touch sensor 180K, an ambient light sensor 180L, a bone conduction sensor 180M, and the like.

It should be understood that the illustrated structure of an embodiment of the present application does not constitute a particular limitation of the mobile device 100. In other embodiments of the application, mobile device 100 may include more or less components than illustrated, or certain components may be combined, or certain components may be split, or different arrangements of components may be made. The illustrated components may be implemented in hardware, software, or a combination of software and hardware.

The processor 110 may include one or more processing units, such as: the processor 110 may include an application processor (application processor, AP), a modem processor, a graphics processor (sraphics processing unit, GPU), an image signal processor (image signal processor, ISP), a controller, a memory, a video codec, a digital signal processor (digital signal processor, DSP), a baseband processor, and/or a neural network processor (neural-network processing unit, NPU), etc. Wherein the different processing units may be separate devices or may be integrated in one or more processors.

Wherein the controller may be a neural hub and command center of the mobile device 100. The controller can generate operation control signals according to the instruction operation codes and the time sequence signals to finish the control of instruction fetching and instruction execution.

A memory may also be provided in the processor 110 for storing instructions and data. In some embodiments, the memory in the processor 110 is a cache memory. The memory may hold instructions or data that the processor 110 has just used or recycled. If the processor 110 needs to reuse the instruction or data, it can be called directly from the memory. Repeated accesses are avoided and the latency of the processor 110 is reduced, thereby improving the efficiency of the system.

The charge management module 140 is configured to receive a charge input from a charger. The charger can be a wireless charger or a wired charger. In some wired charging embodiments, the charge management module 140 may receive a charging input of a wired charger through the USB interface 130. In some wireless charging embodiments, the charge management module 140 may receive wireless charging input through a wireless charging coil of the mobile device 100. The charging management module 140 may also provide power to the mobile device 100 through the power management module 141 while charging the battery 142.

The power management module 141 is used for connecting the battery 142, and the charge management module 140 and the processor 110. The power management module 141 receives input from the battery 142 and/or the charge management module 140 and provides power to the processor 110, the internal memory 121, the external memory, the display 194, the camera 193, the wireless communication module 160, and the like. The power management module 141 may also be configured to monitor battery capacity, battery cycle number, battery health (leakage, impedance) and other parameters. In other embodiments, the power management module 141 may also be provided in the processor 110. In other embodiments, the power management module 141 and the charge management module 140 may be disposed in the same device.

The wireless communication function of the mobile device 100 may be implemented by the antenna 1, the antenna 2, the mobile communication module 150, the wireless communication module 160, a modem processor, a baseband processor, and the like.

The antennas 1 and 2 are used for transmitting and receiving electromagnetic wave signals. Each antenna in the mobile device 100 may be used to cover a single or multiple communication bands. Different antennas may also be multiplexed to improve the utilization of the antennas. For example: the antenna 1 may be multiplexed into a diversity antenna of a wireless local area network. In other embodiments, the antenna may be used in conjunction with a tuning switch.

The mobile communication module 150 may provide a solution for wireless communication, including 2G/3G/4G/5G, as applied on the mobile device 100. The mobile communication module 150 may receive electromagnetic waves from the antenna 1, perform processes such as filtering, amplifying, and the like on the received electromagnetic waves, and transmit the processed electromagnetic waves to the modem processor for demodulation. The mobile communication module 150 can amplify the signal modulated by the modem processor, and convert the signal into electromagnetic waves through the antenna 1 to radiate.

The wireless communication module 160 may provide solutions for wireless communications including WLAN (e.g., wi-Fi network), bluetooth, global navigation satellite system (global navigation satellite system, GNSS), frequency modulation (frequency modulation, FM), near field communication technology (near field communication, NFC), infrared (IR), ultra-wideband, etc., as applied to the mobile device 100. The wireless communication module 160 may be one or more devices that integrate at least one communication processing module. The wireless communication module 160 receives electromagnetic waves via the antenna 2, modulates the electromagnetic wave signals, filters the electromagnetic wave signals, and transmits the processed signals to the processor 110. The wireless communication module 160 may also receive a signal to be transmitted from the processor 110, frequency modulate it, amplify it, and convert it to electromagnetic waves for radiation via the antenna 2.

The mobile device 100 implements display functionality through a GPU, a display screen 194, and an application processor, among others. The GPU is a microprocessor for image processing, and is connected to the display 194 and the application processor. The display screen 194 is used to display images, videos, and the like. The display 194 includes a display panel. In some embodiments, the mobile device 100 may include 1 or N display screens 194, N being a positive integer greater than 1.

The mobile device 100 may implement photographing functions through an ISP, a camera 193, a video codec, a GPU, a display screen 194, an application processor, and the like.

The ISP is used to process data fed back by the camera 193. The camera 193 is used to capture still images or video. The digital signal processor is used for processing digital signals, and can process other digital signals besides digital image signals. Video codecs are used to compress or decompress digital video.

The internal memory 121 may be used to store computer executable program code including instructions. The processor 110 executes various functional applications of the mobile device 100 and data processing by executing instructions stored in the internal memory 121.

The external memory interface 120 may be used to connect external memory, such as a Micro SD card, to enable expansion of the memory capabilities of the mobile device 100. The external memory card communicates with the processor 110 through an external memory interface 120 to implement data storage functions.

The mobile device 100 may implement audio functionality through an audio module 170, a speaker 170A, a receiver 170B, a microphone 170C, an earphone interface 170D, an application processor, and the like. Such as music playing, recording, etc.

The keys 190 include a power-on key, a volume key, etc. The keys 190 may be mechanical keys or touch keys. The mobile device 100 may receive key inputs, generating key signal inputs related to user settings and function controls of the mobile device 100. The motor 191 may generate a vibration cue. The motor 191 may be used for incoming call vibration alerting as well as for touch vibration feedback. The indicator 192 may be an indicator light, may be used to indicate a state of charge, a change in charge, a message indicating a missed call, a notification, etc. The SIM card interface 195 is used to connect SIM cards, and the mobile device 100 may support 1 or N SIM card interfaces, where N is a positive integer greater than 1.

The intelligent lock 200 may be the intelligent door lock shown in fig. 1, or may be another kind of lock with various authentication and unlocking functions; the present application may be an independent electronic device, or may be integrated in other electronic devices in a form of hardware/software/a combination of hardware and software, and the specific form of the smart lock 200 is not particularly limited in the embodiments of the present application. For ease of understanding, the embodiments of the present application will be described by taking an intelligent door lock as an example, and the intelligent lock 200 will be described as an intelligent door lock unless otherwise specified.

Authentication unlocking means of the smart lock 200 include, but are not limited to: password authentication, fingerprint authentication, voice authentication, face authentication, bluetooth authentication, NFC authentication, etc. As an alternative, the authentication unlocking mode of the smart lock 200 may be a single authentication mode, such as authentication of a fingerprint or a password; as another alternative, the authentication mode of the smart lock 200 may be a combined authentication mode, such as authentication of a fingerprint and a password.

The smart lock 200 may also be unlocked by a mechanical unlocking means, for example, a user may unlock the door by using a mechanical key outside the door and unlock the door by turning or pushing the door handle inside the door.

The intelligent lock 200 can also be unlocked by sensing unlocking, for example, when the intelligent lock 200 detects that a handle in the door is touched, the intelligent lock can be automatically unlocked, so that a user can conveniently and quickly open the door in the door.

Referring to fig. 3, a schematic diagram of a possible structure of a smart lock 200 according to an embodiment of the present application is provided. The smart lock 200 may include: processor 210, memory 220, power module 230, USB interface 240, communication module 250, audio module 261, speaker 262, microphone 263, keys 271, camera 272, display 273, and sensor module 280, among others. Among other things, the sensor module 280 may include: fingerprint sensor 281, touch sensor 282, distance sensor 283, and the like.

It should be understood that the illustrated structure of the present embodiment does not constitute a specific limitation on the smart lock 200. In other embodiments of the present application, smart lock 200 may include more or fewer components than shown, or certain components may be combined, or certain components may be split, or different arrangements of components may be made. The illustrated components may be implemented in hardware, software, or a combination of software and hardware. Each component may include one or more.

The processor 210 is the overall control unit of the smart lock 200, and may be a micro control unit (microcontroller unit, MCU) or a processing unit such as a digital signal processor 210 (digital signal processor, DSP). The processor 210 may generate operation control signals according to the instruction operation code and the timing signals to complete instruction fetching and instruction execution control.

Memory 220 is used to store instructions and data, and processor 210 executes the instructions stored in memory 220 to perform various functional applications and data processing of smart lock 200. For example, the processor 210 may perform the authentication unlock procedure described above by executing the associated instructions.

The power module 230 is used to power the smart lock 200, and may include a battery, which may include a rechargeable battery and/or a non-rechargeable battery, and a power management unit. The power management unit may receive a charging input of the wired charger through the USB interface 240, and may also receive a wireless charging input through the wireless charging coil, thereby charging the battery; and parameters such as battery capacity, battery health status and the like can be monitored. The power management unit may be a stand-alone device or may be integrated into the processor 210.

Communication module 250 may provide solutions for wireless communications including WLAN (e.g., wi-Fi network), bluetooth, IR, UWB, and NFC, as applied on smart lock 200. The processor 210 may interact with the mobile device 100 via the communication module 250.

The smart lock 200 may implement audio functions such as voice prompts, voice collection and recognition, etc., through an audio module 261, speaker 262, microphone 263, etc.

The keys 271 may be mechanical keys 271 or touch keys 271. Smart lock 200 may receive key 271 inputs, generating key signal inputs related to user settings and function control of smart lock 200. For example, the smart lock 200 may perform password authentication on a password input by the user through the key 271 and perform related system settings according to an instruction input by the user through the key 271.

The camera 272 is used to capture still images or video; the smart lock 200 may perform functions such as monitoring, face acquisition, and face authentication through the camera 272 and the processor 210.

The display 273 is used for displaying images and videos, etc., and the smart lock 200 can realize a display function through the display 273 and the processor 210.

The fingerprint sensor 281 is used to collect a fingerprint. The intelligent lock 200 can realize functions such as fingerprint authentication and unlocking by utilizing the collected fingerprint characteristics.

The touch sensor 282 is for detecting a touch operation acting thereon or thereabout, and may be provided on the display screen 273 to constitute a touch screen with the display screen 273; the touch key can also be arranged on the surface of the key 271 and can be formed by the touch key and the key 271; and the device can also be arranged on the handle and used for realizing the induction unlocking function.

A distance sensor 283 for measuring distance. The distance sensor 283 may measure the distance by using infrared distance measurement, laser distance measurement or ultrasonic distance measurement, and the specifically adopted algorithm may be a time of flight (TOF) distance measurement method or a triangle distance measurement method.

After the user installs the intelligent lock 200, the user can perform network distribution on the intelligent lock 200 through the related intelligent lock management application on the mobile phone, and communication connection between the intelligent lock 200 and the mobile phone is established. The intelligent lock management application can be an independent application or can be integrated in other applications.

After the communication connection between the smart lock 200 and the mobile phone is established, a user can view information such as state information and switch lock records of the smart lock 200 through the application, and can perform setting, control operation and the like of the smart lock 200 through the application.

For example, the user may set the authentication unlocking mode of the smart lock 200 inside and outside the door through the application, set the authentication unlocking mode outside the door to a single or combined authentication mode, and set the authentication unlocking mode inside the door to mechanical unlocking or inductive unlocking.

In the embodiment of the application, in order to improve the safety of the in-door induction unlocking, the intelligent lock 200 can perform distance detection through the distance sensor 283, perform distance authentication in addition to touch induction authentication, and perform automatic unlocking under the condition that both authentication passes.

FIG. 4 shows a schematic view of the locations of the distance sensor 283 and the touch sensor 282 on the smart lock 200 in a door, as shown in FIG. 4, where the touch sensor 282 may be disposed on a handle of the smart lock 200 in the door for detecting touch signals generated by a touch operation applied to a sensing area; a distance sensor 283 may be provided on the door inner lock body on the side facing the inside of the door for detecting the distance between the door inner shield to the smart lock 200.

When a user holds the handle of the smart lock 200 in the door, the smart lock 200 can detect a touch signal of the sensing area through the touch sensor 282, and can detect a relatively small distance (a distance between the user and the smart lock 200) through the distance sensor 283, and at this time, the smart lock 200 can be automatically unlocked, so that the door can be quickly opened in the door.

When no person is in the door, if the touch sensor 282 has false detection due to high temperature, humidity and the like, but because no person shields the distance sensor 283, the distance sensor 283 can detect a relatively large distance, at this time, the intelligent lock 200 can judge that no person is in the door through the distance without performing unlocking operation, so that safer induction unlocking is realized.

Fig. 5 shows a schematic diagram of a possible control procedure for inductive unlocking of the smart lock, as shown in fig. 5, which may comprise the following steps:

and S1, controlling the touch sensor to perform touch detection.

And step S2, when the touch sensor detects a touch signal, controlling the distance sensor to perform distance detection.

Step S3, judging whether the distance detected by the distance sensor is smaller than or equal to a distance threshold value, if so, executing step S4, and unlocking; otherwise, step S5 is executed without unlocking.

S4, controlling the intelligent lock to be unlocked.

S5, not executing unlocking operation.

In particular, to reduce power consumption, the operating states of the smart lock may include a sleep state in which some devices are in a power saving mode and an awake state in which some or all of the devices are awake, entering a normal operating mode.

In this embodiment, in the sleep state, the touch sensor may be in a normal operation mode, and the distance sensor may be in an energy-saving mode; as described in step S2 above, when the touch sensor detects a touch signal, the system may wake up the distance sensor to perform distance detection to save power.

It will be appreciated that in some embodiments, in a sleep state, both the touch sensor and the distance sensor may be in a normal operating mode to increase the inductive unlocking speed. For convenience of explanation, the following description will be given by taking the example that the distance sensor is in the energy saving mode in the sleep state in the embodiment of the present application.

The distance threshold value adopted for the distance judgment can be a preset threshold value, the magnitude of the value affects the sensitivity and the reliability of the distance authentication, and in the specific implementation, a larger distance threshold value, for example, 100cm, can be set to realize higher sensitivity; by setting a smaller distance threshold, for example 60cm, a higher reliability is achieved; alternatively, a relatively centered value, such as 80cm, may be provided to allow for both sensitivity and reliability, with the embodiments of the present application being described below by way of example only with respect to 80 cm.

That is, after the touch sensor detects a touch signal, the intelligent lock further starts the distance sensor to perform distance detection, and performs an unlocking operation if the detected distance is less than or equal to 80 cm; otherwise (the detected distance is larger than 80 cm), the touch sensor is considered to be erroneously detected, and the unlocking operation is not performed.

It can be appreciated that, to improve the flexibility of use by the user, the smart lock may also provide a distance authentication switch function, where the user may control the smart lock to turn on or off the distance authentication function by inputting instructions on the smart lock or by a smart lock management application on the mobile phone.

In practical application, factors such as problems in the installation environment of the intelligent lock and the ranging function of the lock body, may affect the accuracy of distance authentication, for example, a closer wall or a cabinet and other shielding objects exist at the opposite position of the intelligent lock in the door, and the distance between the shielding objects and the intelligent lock is smaller than a distance threshold value, so that the distance authentication can be passed no matter whether a user opens the door or not, and the distance authentication is invalid; for another example, the distance sensor may have a stain shielding or other problems, and thus the distance measurement is unstable or inaccurate, and in this case, the distance authentication may not pass when the user opens the door, or the distance authentication may pass when the user does not open the door.

In view of the above, in the embodiment of the application, a distance calibration function can be added in the intelligent lock, and the influence of these factors on distance authentication is reduced through the function, so that the accuracy and reliability of the distance authentication are improved, and the security of sensing unlocking is further improved.

Specifically, when the intelligent lock detects that the threshold calibration triggering condition is met, a distance calibration function can be started, a calibration mode is entered, a distance sensor is controlled to perform distance detection, the distance threshold is calibrated according to the detected distance, and whether the intelligent lock has a problem in ranging or not is judged.

Wherein, the distance calibration function can include: the manual calibration function and/or the automatic calibration function can be used for inputting an instruction to the intelligent lock in a manual mode, and after the intelligent lock detects the instruction, the manual calibration function can be started to enter a manual calibration mode; in the daily operation process, the intelligent lock can automatically start an automatic calibration function to enter an automatic calibration mode when certain conditions are met without user participation.

In order to improve the flexibility of the use of the user, the intelligent lock can also provide a switch function of an automatic calibration function, and the user can control the intelligent lock to open or close the automatic calibration function by inputting instructions on the intelligent lock or by intelligent lock management application on a mobile phone.

The calibration process of the manual calibration function and the automatic calibration function will be described in detail below.

Manual calibration function:

referring to fig. 6, a schematic diagram of a manual calibration process according to an embodiment of the present application may include the following steps:

step S101, receiving a first instruction, and entering a manual calibration mode.

Specifically, when the user installs the intelligent lock and performs the first configuration, the manual calibration function of the intelligent lock can be triggered manually.

As an alternative implementation, the user may input a first instruction on the keyboard of the smart lock, triggering a manual calibration function of the smart lock. For example, after a user inputs a related instruction on a keyboard to enter a management mode (or other modes such as a user setting mode), a target key (for example, a number key "6") can be pressed down to input a first instruction, and the intelligent lock is triggered to start a manual calibration function, so that the intelligent lock enters the manual calibration mode.

The intelligent lock can carry out voice prompt after the user inputs the related instruction, guide the user to carry out related configuration and prompt the configuration result to the user. For example, after a user inputs a related instruction on a keyboard to enter a management mode, the intelligent lock can send out voice prompt information: distance calibration, please press 6"; after the user inputs the number "6", the intelligent lock can send out voice prompt information: "calibration mode has been entered".

It can be appreciated that the user can also trigger the intelligent lock to start the manual calibration function by inputting the first instruction on the intelligent lock in the later use process.

As another alternative implementation manner, the user may also send a first instruction to the intelligent lock through the mobile phone, and trigger the intelligent lock to start the manual calibration function.

Fig. 7 shows a possible implementation, and as shown in fig. 7, related steps of manual calibration may be added in the configuration wizard in the process of configuring the smart lock and the mobile phone. For example, as shown in (a) and (b) in fig. 7, after the smart lock establishes a connection with the mobile phone, the mobile phone may display a prompt message 101 of "connection success" in the device connection interface 10, and may display a "next" option 102; after the user clicks the "next" option 102, the mobile phone may send a first instruction to the smart lock, and may display the distance calibration interface 20, and guide the user to perform the distance threshold calibration process. After receiving the first instruction, the intelligent lock can also send out voice prompt information: "calibration mode has been entered".

Fig. 8 shows another possible implementation manner, as shown in fig. 8, after the mobile phone and the intelligent lock complete the network allocation process, a manual calibration option can be added in a management interface corresponding to the intelligent lock, so that a user can manually calibrate at any time. For example, as shown in (a) of fig. 8, a "distance calibration" card 301 may be added to the main interface 30 corresponding to the smart lock, and after the user clicks the card, the mobile phone may send a first instruction to the smart lock, and as shown in (b) of fig. 8, a distance calibration interface 20 may be displayed to guide the user to perform a distance threshold calibration process.

It will be understood that the specific operation manner of the user to input the first instruction on the smart lock is not limited to the key operation, the operation performed by the user on the mobile device is not limited to the click operation, and both may be a voice input operation or a gesture operation, etc., which are not particularly limited in the embodiment of the present application, and other user operations described in the embodiment of the present application are similar, and for convenience of explanation, the key operation and the click operation are exemplified in the embodiment of the present application.

In addition, when the intelligent lock and the mobile phone send out the prompt information, a voice and/or text mode can be adopted, and the prompt mode in the embodiment of the application is only an example and is not used for limiting the application.

Step S102, prompting a user to close the door well, and keeping the intelligent lock in the door in front of the person.

After the intelligent lock receives the first instruction, the intelligent lock can enter a manual calibration mode to calibrate the distance threshold. In order to improve the accuracy of the calibration result, after the intelligent lock enters the manual calibration mode, voice prompt information can be sent out first, so that a user is guided to accurately calibrate the distance threshold. The prompt information may be, for example: please close the door well and keep the intelligent lock in the door in front of no person.

For the manner in which the user sends the first instruction through the mobile phone, as shown in (b) in fig. 7 and (b) in fig. 8, the mobile phone may also display the prompt 201 in the distance calibration interface 20.

Step S103, receiving a second instruction, and controlling the distance sensor to perform N times of distance detection.

In order to facilitate the use of the user, after the intelligent lock sends the prompt information, the user can be further prompted to input a second instruction after the intelligent lock is ready according to the prompt information, and the calibration of the distance threshold value is started.

For example, after the intelligent lock sends the prompt information, the user can be prompted continuously: "start calibration, please press 1; returning to the upper menu, please press 2", after the user inputs the number" 1", the intelligent lock can start to calibrate the distance threshold value, and can send out voice prompt information: "Start calibration"; after the user enters the number "2", the smart lock may return to the administration mode.

Similarly, for the manner in which the user sends the first instruction via the cell phone, as shown in fig. 7 (b) and 8 (b), a "start calibration" option 202 may be provided in the distance calibration interface 20. As shown in fig. 9 (a) and (b), after the user clicks the "start calibration" option 202, the mobile phone may send a second instruction to the smart lock, and may display calibration progress prompt information 211, so as to improve the convenience of use of the user. After receiving the second instruction, the intelligent lock can begin to calibrate the distance threshold value and can also send out voice prompt information: "start calibration".

As shown in fig. 7 (b) and 9 (a), to increase flexibility, a "skip" option 203 may also be provided in the distance calibration interface 20 for the distance calibration process in the configuration wizard, which the user may skip the calibration process for the distance threshold by selecting.

In the manual calibration mode, when the intelligent lock performs distance threshold calibration, the distance sensor can be controlled to continuously measure N times, and then the distance threshold is determined according to the measured N distances. The value of N may be set as required, for example, 10 or 15.

For convenience of explanation, the distance measured by the distance sensor in the calibration mode for performing the distance threshold calibration will be referred to as a first distance, and the distance measured by the distance sensor in daily operation for performing the sensing unlocking will be referred to as a second distance.

Step S104, judging whether the measured N first distances are all larger than a target threshold value, if so, executing step S105; otherwise, step S106 is performed.

After N first distances are measured, a distance threshold may be determined from an average of the N first distances. Considering that when the distance threshold is too large, the reliability of the distance authentication may be affected, in this embodiment, for the measured N first distances, the relationship between these distances and an empirical upper limit value of the distance threshold (i.e. the target threshold) may be determined first, and whether to determine the distance threshold according to the average value of the N first distances may be determined according to the determination result.

The target threshold may be determined according to the sensitivity and reliability of the distance authentication, and specifically, the target threshold may be identical to the aforementioned preset distance threshold by 80cm, similar to the setting manner of the distance threshold in fig. 5. Of course, the target threshold may also be inconsistent with the preset distance threshold, for example, the target threshold may be determined according to factors such as an installation environment of the smart lock, where the installation environment may be determined by a manner of capturing an image by a camera or inputting an instruction by a user.

If the N first distances are all larger than the target threshold, the fact that the right opposite position of the intelligent lock in the door is not provided with a shielding object such as a house or a wall body which is relatively close to the intelligent lock is indicated, and the distance threshold can be the target threshold.

If the N first distances are not all greater than the target threshold, it is indicated that there may be a house or wall or other obstruction nearer to the smart lock in the facing position of the smart lock in the door, and in this case, the distance threshold may be determined according to an average value of the N first distances that is actually measured.

Step S105, determining the distance threshold as a target threshold.

Step S106, calculating standard deviation sigma 1 and average value a1 of the N first distances.

Under normal conditions, under the condition that the surrounding environment is unchanged, the data continuously measured by the distance sensor are basically consistent, if the distance sensor has stains or other problems, the accuracy of distance measurement can be affected, and under the condition that the distance threshold value is determined based on an average value, whether the distance data (namely the first distance) measured by the distance sensor is normal or not can be judged first to determine whether the distance measurement function of the intelligent lock is problematic or not, and under the condition that the distance measurement function of the intelligent lock is determined to be normal, the distance threshold value is calibrated again to improve the accuracy of the calibrated distance threshold value.

Specifically, parameters such as standard deviation and/or average value may be used to evaluate whether the distance data measured by the distance sensor is normal, in this embodiment, the standard deviation and average value are taken as examples for illustration, and in some embodiments, other parameters may also be used, for example, other parameters such as variance or range that may represent the dispersion of the data may be used to perform data evaluation.

Step S107, judging whether the standard deviation sigma 1 is larger than the threshold value Td or not, or if the average value a1 is smaller than the threshold value Ta, executing step S108; otherwise, step S109 is performed.

In the data evaluation, if the standard deviation of each first distance measured by the distance sensor is excessively large (greater than the threshold Td), it is indicated that the distance measured by the distance sensor is not sufficiently stable, and thus, the reliability of the distance authentication performed based on the distance measured by the distance sensor is poor.

If the average value of the first distances measured by the distance sensor is too small (smaller than the threshold value Ta), it indicates that there may be dirt blocking the distance sensor, or there may be other problems such as damage to the distance sensor, which results in inaccurate data measured by the distance sensor, and thus inaccurate distance authentication.

Therefore, if the situation is detected, the calibration of the distance threshold value can not be continued, and the user can be prompted to intelligently latch in the problem at the moment, so that the user is suggested to find after-sale maintenance or replacement.

If the standard deviation and the average value of the first distances measured by the distance sensor are normal (i.e. the standard deviation sigma 1 is smaller than or equal to the threshold value Td, and the average value a1 is greater than or equal to the threshold value Ta), the distance measurement function of the intelligent lock is normal, and the calibration of the distance threshold value can be continued at this time.

The threshold Td corresponding to the standard deviation σ1 may be determined according to a measurement error of the distance sensor, which may be a maximum measurement error of the distance sensor, or other values, for example: twice the minimum measurement error of the distance sensor.

The threshold Ta corresponding to the average value a1 may be determined according to an empirical value, for example, may be a value of 10cm or the like.

When the standard deviation and the average value are specifically determined, the standard deviation and the average value may be performed simultaneously or sequentially, which is not particularly limited in this embodiment.

Step S108, prompting the user that the intelligent lock has a problem.

Similar to the foregoing prompting manner, the intelligent lock can prompt the user to intelligently latch the problem in a voice manner; the smart lock may also feed back the calibration result to the mobile phone, and after receiving the calibration result fed back by the smart lock, which indicates that the smart lock has a problem, as shown in (a) in fig. 10, the mobile phone may display a prompt message 212 to prompt the user that the calibration has failed, and the smart lock is in a problem.

Optionally, as shown in (a) of fig. 10, the handset may provide a confirmation option 213 and a recalibration option 214, and when the user selects the confirmation option 213, the handset may continue to perform subsequent configuration procedures or end the configuration procedure without other configuration procedures; when the user selects the recalibration option 214, the mobile phone may send the first instruction or the second instruction to the smart lock again, instructing the smart lock to recalibrate the calibration process of the distance threshold.

Step S109, determining a distance threshold according to the average value a 1.

As described above, in the case where it is determined that the ranging function of the smart lock is normal, the calibration of the distance threshold may be continued. In specific implementation, the distance threshold may be determined according to an average value a1 of N first distances measured by the distance sensor; in some embodiments, the distance threshold may also be determined from a median or maximum of the N first distances.

Considering that the distance sensor has a distance error, when determining the distance threshold according to the average value a1, subtracting a floating value from the average value a1 to serve as the distance threshold; the floating value may be determined according to a measurement error of the distance sensor, and may be, for example, 3 times or other values (such as 1 cm) of a maximum error of the distance sensor, and the specific size of the floating value is not particularly limited in this embodiment.

After determining the distance threshold, the intelligent lock can prompt the user that the calibration is completed through voice, the intelligent lock can also feed back the calibration result to the mobile phone, and after receiving the calibration result fed back by the intelligent lock and indicating that the calibration of the intelligent lock is completed, as shown in (b) in fig. 10, the mobile phone can display prompt information 221 in the distance calibration interface 20 to prompt the user that the calibration process of the distance threshold is successfully completed; a confirmation option 222 may also be provided in the distance calibration interface 20, and when the user selects the confirmation option 222, the handset may continue to perform subsequent configuration procedures or end the configuration procedure without other configuration procedures.

It will be appreciated that the above steps of determining the distance threshold according to the N first distances may also be performed by adjusting, for example, the relationship between the average value and the target threshold may be determined when the standard deviation and the average value of the N first distances are normal, the distance threshold may be determined as the target threshold when the average value is greater than the target threshold, and the distance threshold may be determined according to the average value when the average value is less than or equal to the target threshold. The comparison process of each first distance and the target threshold value is carried out before the standard deviation and the average value are determined, so that when no closer shielding object exists at the right position of the intelligent lock, the calculated amount is reduced, and the processing speed is improved; by performing the comparison of each first distance to the target threshold after determining the standard deviation and the average value, the amount of computation can be reduced when intelligent latching is problematic. The implementation manner to be specifically adopted may be selected as required, and this embodiment is not particularly limited.

In addition, the intelligent lock can have a preset distance threshold value at the beginning, in which case, the manual calibration function can be used as an optional step in the installation and configuration process of the intelligent lock, and the user can update the distance threshold value through the manual calibration function; the intelligent lock can also have no preset distance threshold value at the beginning, and in this case, the manual calibration function can be used as an indispensable step in the installation and configuration process of the intelligent lock, the distance threshold value determined by the manual calibration function for the first time by a user is the initial distance threshold value, and the distance threshold value can be updated again by the manual calibration function at the later stage.

Through adding the manual calibration function in the intelligent lock, a user can calibrate a distance threshold value by using the manual calibration function when the intelligent lock is just installed or in the later use process, and the distance authentication condition more suitable for the current installation environment is determined. For example, when a closer wall or cabinet and other shielding objects exist at the position opposite to the intelligent lock in the door, the distance between the shielding objects and the intelligent lock is 70cm and is smaller than a preset distance threshold value of 80cm, and the distance authentication can be disabled by adopting the distance threshold value; through the manual calibration function, a more proper distance threshold value, such as 69cm, can be determined, so that the distance authentication function can be normally operated, and the safety and reliability of the induction unlocking can be improved.

In addition, in the process of using the manual calibration function to calibrate the distance threshold, the user can also detect the unstable and inaccurate ranging conditions caused by dirt shielding or other problems through the function, so that the ranging problem can be timely found and solved, the unstable and inaccurate distance authentication conditions are reduced, and the safety and reliability of sensing unlocking are further improved.

Automatic calibration function:

Referring to fig. 11, a schematic diagram of an automatic calibration process according to an embodiment of the present application may include the following steps:

step S201, determining a target time point for waking up the automatic calibration function according to the switch lock record.

Specifically, the intelligent lock can determine one or more target time points, wake up the automatic calibration function at the target time points every day, and perform automatic calibration of the distance threshold.

After the user installs the intelligent lock, the intelligent lock can record the lock opening and closing condition in the daily operation process; based on the switch lock record, the intelligent lock can determine the door closing time period (the intelligent lock is in a locking state) of each day, and then one or more time points can be selected from the door closing time period shared by all days to serve as target time points of the timed wake-up automatic calibration function.

For example, the intelligent lock counts 11 pm to 6 am every day, and the intelligent lock is in the locking state, so that one or more time points, such as 3 am, can be selected as the target time point, and the automatic calibration function is awakened at 3 am every day.

Considering that under normal conditions, a user frequently opens and closes the door in the daytime and opens and closes the door in the night, in order to reduce the calculated amount, the intelligent lock can also count the door closing time period in the night preferentially, and under the condition that the public door closing time period can be determined, the statistics on the door closing time period in the daytime is not needed.

In order to improve flexibility, the intelligent lock can also provide a target time point setting function, similar to the manual calibration function, a user can set a target time point by inputting an instruction on the intelligent lock or by an intelligent lock management application on a mobile phone, and a specific implementation manner is similar to the manual calibration function and is not repeated here.

Step S202, waking up an automatic calibration function at a target time point of each day, and entering an automatic calibration mode.

After the target time point is determined, the intelligent lock can determine whether the target time point is reached or not in a time detection or timing mode; and after the target time point is determined to be reached, waking up the automatic calibration function and entering an automatic calibration mode.

Step S203, the distance sensor is controlled to perform a distance detection.

In an automatic calibration mode, when the intelligent lock performs distance threshold calibration, the distance sensor can be controlled to measure once, and then the distance threshold calibration is performed according to the first distance measured in the last days, so that the detection result is more reliable as the adopted distance data is richer in the time dimension when the distance stability is detected based on the distance data; moreover, power consumption can also be reduced.

It will be appreciated that the smart lock may also control the distance sensor to measure twice in succession, wherein the number of consecutive measurements may be less than or equal to N/2, in this embodiment illustrated by taking one measurement as an example.

Step S204, judging whether the number of the first distances detected in the automatic calibration mode is greater than or equal to N, if yes, executing step S205, otherwise, returning to execute step S202.

After the intelligent lock finishes measuring the distance in the automatic calibration mode, the measured first distance can be stored in the target position, then whether the first distances stored at present are N or not can be judged, and the subsequent distance calibration process is carried out under the condition that the first distances are N; otherwise, it may return to step S202 to continue with the next distance measurement.

Step S205, calculating standard deviation σ2 and average value a2 of the N first distances acquired recently.

The intelligent lock can perform a subsequent distance threshold calibration process according to the N first distances acquired recently so as to determine the latest indoor environment condition and the good or bad state of the ranging function.

This step is similar to step S106 described above, and the detailed description of this step S106 will be referred to herein and will not be repeated.

Step S206, judging whether the standard deviation sigma 2 is larger than a threshold value Td, if so, executing step S202; otherwise, step S207 is performed.

When the intelligent lock performs distance detection in the automatic calibration mode, the following situations may occur: the furniture arrangement near the intelligent lock in the door is changed, or the user is moving in the door, which may cause the instability of the distance detected by the intelligent lock, so that the intelligent lock can firstly perform data stability judgment based on standard deviation when automatic calibration is performed, and then execute step S207 to perform data accuracy judgment based on average value when the measured distance data is relatively stable; if the measured distance data is not stable, it may return to step S202 to continue with the next distance measurement.

The intelligent lock may also execute step S208 described below to prompt the user to intelligently latch in the problem if the data instability is detected multiple times in succession. Taking the example of the smart lock measuring the first distance once each time in the auto-calibration mode, the number of consecutive times may be greater than N.

Step S207, judging whether the average value a2 is smaller than a threshold value Ta, if yes, executing step S208; otherwise, step S209 is performed.

This process is similar to the average value determination process in step S107 described above, and specific description will be given in step S107, and will not be repeated here.

Step S208, the user is prompted to intelligently latch the problem, and the sensing unlocking function is closed.

When the intelligent lock detects a ranging problem through an automatic ranging function, a user can be prompted to intelligently latch the problem in a mode of displaying a fault code; the intelligent lock can also send fault information to the mobile phone, and the mobile phone can prompt a user that the intelligent lock has a problem through a notification bar or a short message and the like.

In view of the fact that the user has a certain delay when finding a problem, in order to further improve the safety, the intelligent lock can close the sensing unlocking function after prompting the user to intelligently latch the problem.

Step S209, determining a distance threshold according to the average value a 2.

Specifically, when determining the distance threshold, the relationship between the average value a2 and the target threshold (for example, 80cm as described above) may be determined first, and if the average value a2 is greater than the target threshold, the target threshold may be determined as the current distance threshold; if the average value a2 is less than or equal to the target threshold value, the average value a1 may be subtracted by a floating value as the distance threshold value.

It can be understood that the intelligent lock can perform an automatic calibration process through the steps S202 to S209 every day after determining the distance threshold value through the automatic calibration function for the first time; when the target time point is determined in step S201, the intelligent lock may determine the target time point according to the switch lock record after the intelligent lock is installed for several days; the intelligent lock can also determine the target time point once every day according to the switch lock record of the last days after determining the target time point for the first time, and update the target time point so as to improve the accuracy of the target time point; or the target time point can be determined once every other multiple days, such as half a month or one month, according to the switch lock record of the last few days, and the target time point is updated so as to save electric quantity. In addition, after the distance threshold is determined by the automatic calibration function for the first time, the number determination process in step S204 may be skipped after the automatic calibration function is subsequently started.

The intelligent lock may also perform a complete automatic calibration process at intervals periodically, for example, at intervals of one month or three months, through the steps S201 to S209, and end the automatic calibration process of the present period when a ranging problem is detected or a distance threshold is calibrated.

In addition, in some embodiments, the smart lock may also control the distance sensor to continuously measure N times in the automatic calibration mode, so as to update the distance threshold as early as possible if the user installs the smart lock without performing the manual calibration process.

Through the automatic calibration function, the intelligent lock can automatically calibrate the distance threshold value in the daily operation process, and the distance authentication condition more suitable for the current installation environment is determined. For example, when the intelligent lock is installed, a user skips the distance calibration process, and a closer wall or a cabinet and other shielding objects exist at the position opposite to the intelligent lock in the door, or a closer cabinet and other shielding objects exist at the position opposite to the intelligent lock in the door due to the change of indoor arrangement; the distance between the shielding object and the intelligent lock is 70cm and is smaller than the current distance threshold value by 80cm, and the distance authentication can be disabled by adopting the distance threshold value; through the automatic calibration function, a more proper distance threshold value, such as 69cm, can be determined, so that the distance authentication function can be normally operated, and the safety and reliability of the induction unlocking can be improved.

In addition, the automatic calibration function can also detect the unstable and inaccurate ranging conditions caused by dirt shielding or other problems, so that the ranging problems can be timely found and solved, the unstable and inaccurate range authentication conditions are reduced, and the safety and reliability of sensing unlocking are further improved.

After the distance threshold is calibrated through the manual calibration function or the automatic calibration function, the intelligent lock can compare the second distance detected by the distance sensor with the distance threshold after the touch sensor detects the touch signal, and the intelligent lock is controlled to be unlocked under the condition that the second distance is smaller than the distance threshold.

It will be appreciated by those skilled in the art that the above embodiments are exemplary and not intended to limit the application. The order of execution of one or more of the above steps may be modified, if possible, or may be combined selectively to yield one or more other embodiments. Those skilled in the art can select and combine any of the above steps according to the need, and all the steps do not depart from the spirit of the present application.

In summary, according to the technical scheme provided by the embodiment of the application, the distance sensor can be controlled to detect the distance through the distance calibration function, and the distance threshold value is calibrated according to the detected distance, so that the influence of the installation environment on the distance authentication is reduced, and the safety of induction unlocking is improved; and the problem of the intelligent lock in the ranging aspect can be detected through the distance calibration function, so that the unstable and inaccurate condition of distance authentication caused by the ranging problem is reduced, and the safety and reliability of sensing unlocking are further improved.

Based on the same concept, as an implementation of the method, the embodiment of the present application provides an intelligent lock control device, where the embodiment of the device corresponds to the embodiment of the method, and for convenience of reading, the embodiment of the present application does not describe details of the embodiment of the method one by one, but it should be clear that the device in the embodiment can correspondingly implement all the details of the embodiment of the method.

Fig. 12 is a schematic structural diagram of an intelligent lock control device according to an embodiment of the present application, as shown in fig. 12, where the device provided in this embodiment includes:

a display module 310, an input module 320, a processing module 330, a communication module 340, and a notification module 350.

Wherein the display module 310 is used to support the electronic device to perform the interface display operations in the above-described embodiments and/or other processes for the techniques described herein. The display module may be a touch screen or other hardware or a combination of hardware and software. The electronic device may be the smart lock or the mobile device.

The input module 320 is for receiving user input on the electronic device, such as touch input, voice input, gesture input, etc., and is for supporting the electronic device to perform the steps of receiving user operations in the above-described embodiments and/or for other processes of the techniques described herein. The input module may be a touch screen or other hardware or a combination of hardware and software.

The processing module 330 is used to support the electronic device to perform processing operations in the various method steps in the embodiments described above and/or other processes for the techniques described herein.

The communication module 340 is used to support the electronic device to perform operations related to communication procedures between other electronic devices in the above-described embodiments and/or other procedures for the techniques described herein.

The notification module 350 is used to support the electronic device to perform the prompting operations in the method steps in the embodiments described above and/or other processes for the techniques described herein.

The device provided in this embodiment may perform the above method embodiment, and its implementation principle is similar to that of the technical effect, and will not be described herein again.

It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional units and modules is illustrated, and in practical application, the above-described functional distribution may be performed by different functional units and modules according to needs, i.e. the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-described functions. The functional units and modules in the embodiment may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit, where the integrated units may be implemented in a form of hardware or a form of a software functional unit. In addition, the specific names of the functional units and modules are only for distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working process of the units and modules in the above system may refer to the corresponding process in the foregoing method embodiment, which is not described herein again.

The embodiment of the application also provides a computer readable storage medium, on which a computer program is stored, which when being executed by a processor, implements the method described in the above method embodiment.

The embodiment of the application also provides a computer program product which, when run on an electronic device, causes the electronic device to execute the method described in the embodiment of the method. The electronic device may be the smart lock or the mobile device.

The embodiment of the application also provides a chip system, which comprises a processor, wherein the processor is coupled with the memory, and the processor executes a computer program stored in the memory to realize the method described in the embodiment of the method. The chip system can be a single chip or a chip module formed by a plurality of chips.

In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, produces a flow or function in accordance with embodiments of the present application, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in or transmitted across a computer-readable storage medium. The computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by a wired (e.g., coaxial cable, fiber optic, digital subscriber line), or wireless (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains an integration of one or more available media. The usable medium may be a magnetic medium (e.g., a floppy disk, a hard disk, or a magnetic tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a Solid State Disk (SSD)), or the like.

Those of ordinary skill in the art will appreciate that implementing all or part of the above-described method embodiments may be accomplished by a computer program to instruct related hardware, the program may be stored in a computer readable storage medium, and the program may include the above-described method embodiments when executed. And the aforementioned storage medium may include: ROM or random access memory RAM, magnetic or optical disk, etc.

The naming or numbering of the steps in the present application does not mean that the steps in the method flow must be executed according to the time/logic sequence indicated by the naming or numbering, and the execution sequence of the steps in the flow that are named or numbered may be changed according to the technical purpose to be achieved, so long as the same or similar technical effects can be achieved.

In the foregoing embodiments, the descriptions of the embodiments are emphasized, and in part, not described or illustrated in any particular embodiment, reference is made to the related descriptions of other embodiments.

In the embodiments provided in the present application, it should be understood that the disclosed apparatus/device and method may be implemented in other manners. For example, the apparatus/device embodiments described above are merely illustrative, e.g., the division of the modules or units is merely a logical functional division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection via interfaces, devices or units, which may be in electrical, mechanical or other forms.

It should be understood that in the description of the application and the claims that follow, the terms "comprising," "including," "having," and any variations thereof are intended to cover a non-exclusive inclusion, which is meant to be "including but not limited to," unless otherwise specifically emphasized. For example, a process, method, system, article, or apparatus that comprises a list of steps or modules is not necessarily limited to those steps or modules explicitly recited, but may include other steps or modules not expressly listed or inherent to such process, method, article, or apparatus.

In the description of the present application, unless otherwise indicated, "/" means that the objects associated in tandem are in a "or" relationship, e.g., A/B may represent A or B; in the present application, "and/or" describing the association relationship of the association object, it means that there may be three relationships, for example, a and/or B may mean: a alone, a and B together, and B alone, wherein A, B may be singular or plural.

Also, in the description of the present application, unless otherwise indicated, "a plurality" means two or more than two. "at least one of the following" or similar expressions thereof, means any combination of these items, including any combination of single or plural items. For example, at least one of a, b, or c may represent: a, b, c, a-b, a-c, b-c, or a-b-c, wherein a, b, c may be single or plural.

As used in the present description and the appended claims, the term "if" may be interpreted as "when..once" or "in response to a determination" or "in response to detection" depending on the context. Similarly, the phrase "if a determination" or "if a [ described condition or event ] is detected" may be interpreted in the context of meaning "upon determination" or "in response to determination" or "upon detection of a [ described condition or event ]" or "in response to detection of a [ described condition or event ]".

Furthermore, in the description of the present specification and the appended claims, the terms "first," "second," "third," and the like are used to distinguish between similar objects, and are not necessarily used to describe a particular order or sequence, nor are they to be construed to indicate or imply relative importance or implying a number of technical features indicated. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments described herein may be implemented in other sequences than those illustrated or otherwise described herein.

In embodiments of the application, words such as "exemplary" or "such as" are used to mean serving as an example, instance, or illustration. Any embodiment or design described herein as "exemplary" or "for example" is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "such as" is intended to present related concepts in a concrete fashion.

Reference in the specification to "one embodiment" or "some embodiments" or the like means that a particular feature, structure, or characteristic described in connection with the embodiment is included in one or more embodiments of the application. Thus, appearances of the phrases "in one embodiment," "in some embodiments," "in other embodiments," and the like in the specification are not necessarily all referring to the same embodiment, but mean "one or more but not all embodiments" unless expressly specified otherwise.

Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present application, and not for limiting the same; although the application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the application.

Claims

1. A control method of an intelligent lock, wherein the intelligent lock is provided with a distance sensor and a touch sensor, the method comprising:

2. The method of claim 1, wherein the calibration mode comprises: a manual calibration mode, and/or an automatic calibration mode;

3. The method of claim 2, wherein in the manual calibration mode, the method further comprises:

4. A method according to claim 3, wherein after sending the prompt message, the distance sensor is controlled to perform distance detection if a second instruction is received, where the second instruction is input by a user on the smart lock, or the mobile device is sent based on a user operation.

5. The method of any one of claims 2-4, wherein the target point in time is determined from a switch lock record over a first period of time during which the smart lock is in a closed state at the target point in time every day.

6. The method according to any one of claims 2-5, wherein in the manual calibration mode, the controlling the distance sensor to perform distance detection, after obtaining n first distances, determining a distance threshold according to the n first distances includes:

7. The method of claim 6, wherein the distance threshold is determined from the first average value if the first dispersion is less than or equal to a dispersion threshold and the first average value is greater than or equal to an average value threshold.

8. The method according to claim 6 or 7, characterized in that the method further comprises:

9. The method according to any one of claims 2-8, wherein in the automatic calibration mode, the controlling the distance sensor to perform distance detection, after obtaining n first distances, determining a distance threshold according to the n first distances includes:

10. The method of claim 9, wherein in the event that the second dispersion is less than or equal to a dispersion threshold and the second average is greater than or equal to an average threshold, determining the distance threshold as the target threshold if the second average is greater than or equal to a target threshold; and if the second average value is smaller than the target threshold value, determining the distance threshold value according to the second average value.

11. The method according to claim 9 or 10, characterized in that the method further comprises:

12. The method according to any one of claims 2-11, further comprising:

13. An intelligent lock control system, comprising: the intelligent lock comprises an intelligent lock and mobile equipment, wherein the intelligent lock is provided with a distance sensor and a touch sensor;

14. An intelligent lock, characterized by comprising: a memory and a processor, the memory for storing a computer program; the processor is configured to perform the method of any of claims 1-12 when the computer program is invoked.

15. A computer readable storage medium, on which a computer program is stored, which computer program, when being executed by a processor, implements the method according to any of claims 1-12.

16. A computer program product, characterized in that the computer program product, when run on an electronic device, causes the electronic device to perform the method of any one of claims 1-12.

17. A chip system comprising a processor coupled to a memory, the processor executing a computer program stored in the memory to implement the method of any of claims 1-12.