CN113870461A - Intelligent door lock control method and device, electronic equipment and storage medium - Google Patents
Intelligent door lock control method and device, electronic equipment and storage medium Download PDFInfo
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- G07C9/00—Individual registration on entry or exit
- G07C9/00174—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys
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Abstract
The application provides an intelligent door lock control method, an intelligent door lock control device, electronic equipment and a storage medium, wherein the intelligent door lock control method comprises the following steps: and acquiring target user information carried in the received unlocking signal, determining a target contextual model corresponding to the target user information, and then controlling the intelligent door lock by adopting a control strategy corresponding to the stored target contextual model. The contextual model is determined according to the user information of the unlocking user, so that the intelligent door lock can be controlled by adopting control strategies corresponding to different contextual models for different unlocking users, and the requirements of different users can be met by the intelligent door lock.
Description
Technical Field
The application relates to the field of intelligent door locks, in particular to an intelligent door lock control method and device, electronic equipment and a storage medium.
Background
With the development of the intelligent door lock market, the functions of the intelligent door lock tend to be diversified. At present, the intelligent door lock can be unlocked by various modes such as passwords, fingerprints, finger veins, magnetic cards and the like.
At present, when the intelligent door lock is unlocked, the intelligent door lock is controlled to vibrate or give out prompt sound and the like, so that a user is reminded. However, the existing intelligent door locks usually adopt a single control strategy, and therefore, the different requirements of different users cannot be met.
Disclosure of Invention
In order to solve the technical problems that the unlocking feedback of the existing intelligent door lock is too single and different requirements of different users cannot be met, the application provides an intelligent door lock control method and device, electronic equipment and a storage medium.
In a first aspect, the present application provides an intelligent door lock control method, which includes:
acquiring target user information of a current unlocking user;
determining a target contextual model corresponding to the target user information;
and controlling the intelligent door lock by adopting the stored control strategy corresponding to the target contextual model.
As a possible implementation manner, the target user information is face image information of a current unlocking user and/or unlocking information used by the current unlocking user, and the unlocking information is information used for unlocking.
As a possible implementation manner, the determining a target contextual model corresponding to the target user information includes:
searching identity information corresponding to the target user information from a corresponding relation table of stored user information and identity information;
taking the identity information corresponding to the target user information which is searched out as target identity information;
and taking a preset contextual model bound with the target identity information as a target contextual model corresponding to the target user information.
As a possible implementation, the method further includes:
and if the identity information corresponding to the target user information is not found from the stored corresponding relation table of the user information and the identity information, taking preset default identity information as the target identity information.
As a possible implementation, the method further includes:
acquiring first setting information, wherein the first setting information comprises a corresponding relation between the target user information and any identity information;
and writing the corresponding relation between the target user information and any identity information included in the first setting information into a stored corresponding relation table between the user information and the identity information.
As a possible implementation, the method further includes:
if the target contextual model is determined to be the designated contextual model, generating reminding information;
and sending the reminding information to a specified object.
As a possible implementation manner, before determining the target contextual model corresponding to the target user information, the method further includes:
verifying whether the target user information is legal user information;
and if the target user information is determined to be legal user information, executing a step of determining a target contextual model corresponding to the target user information.
In a second aspect, an embodiment of the present application further provides an intelligent door lock control device, including:
the acquisition module is used for acquiring target user information of a current unlocking user;
the mode determining module is used for determining a target contextual mode corresponding to the target user information;
and the control module is used for controlling the intelligent door lock by adopting the stored control strategy corresponding to the target contextual model.
In a third aspect, an embodiment of the present application further provides an electronic device, including: the processor is used for executing the intelligent door lock control program stored in the memory so as to realize the intelligent door lock control method of the first aspect.
In a fourth aspect, an embodiment of the present application further provides a storage medium, where the storage medium stores one or more programs, and the one or more programs are executable by one or more processors to implement the intelligent door lock control method according to the first aspect.
Compared with the prior art, the technical scheme provided by the embodiment of the application has the following advantages:
according to the intelligent door lock control method provided by the embodiment of the application, the target user information of the current unlocking user is obtained, the target contextual model corresponding to the target user information is determined, and then the intelligent door lock is controlled by adopting the control strategy corresponding to the stored target contextual model. The contextual model is determined according to the user information of the unlocking user, so that the intelligent door lock can be controlled by adopting control strategies corresponding to different contextual models for different unlocking users, and the requirements of different users can be met by the intelligent door lock.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
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The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application.
Fig. 1 is a flowchart illustrating an intelligent door lock control method according to an exemplary embodiment.
Fig. 2 is a flowchart illustrating an intelligent door lock control method according to another exemplary embodiment.
Fig. 3 is a block diagram illustrating an intelligent door lock control device according to an exemplary embodiment.
FIG. 4 is a schematic diagram illustrating an electronic device in accordance with an example embodiment.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.
Referring to fig. 1, fig. 1 is a schematic flowchart of an intelligent door lock control method according to an embodiment of the present application. As shown in fig. 1, the method may include the steps of:
s11, obtaining target user information of a current unlocking user.
The current unlocking user is the user who carries out unlocking operation on the intelligent door lock at present, and the user information of the current unlocking user, namely the target user information, is obtained after the unlocking operation is detected.
As an embodiment, the user information may be face image information and/or unlocking information, and the unlocking information is information for unlocking. With the development of the intelligent door lock technology, the intelligent door lock can support unlocking modes such as biological information (such as information of fingerprints, finger veins, irises and the like), magnetic card unlocking, password unlocking and the like. Therefore, the unlocking information may be physiological information, a magnetic card id, an unlocking password, or the like.
As an optional implementation manner, after the unlocking operation is detected, image information of the current unlocking user can be acquired through the camera, the face image information of the current unlocking user is acquired through image analysis, and the acquired face image information is used as target user information of the current unlocking user. Wherein the camera can be installed on intelligent lock, also can with intelligent lock communication connection. Each user can be accurately distinguished by taking the face image information as the user information.
As another optional implementation manner, when the intelligent door lock is in use, and when a user performs an unlocking operation on the intelligent door lock, the intelligent door lock receives an unlocking signal, and the unlocking signal can carry unlocking information input by the user, so that after the unlocking operation is received, the intelligent door lock can analyze the received unlocking signal to obtain the unlocking information carried in the unlocking signal, and then the obtained unlocking information is used as target user information of the current unlocking user.
In the embodiment of the application, the unlocking operation includes, but is not limited to, inputting unlocking information in a panel of the intelligent door lock or inputting unlocking information in an unlocking interface of a mobile phone APP connected with the intelligent door lock.
And S12, determining a target contextual model corresponding to the target user information.
The intelligent door lock can be applied to a family, a school dormitory, a hotel and other places where a plurality of people exist. In a multi-person location, different people may have different needs when using the intelligent door lock. For example, when the smart door lock is applied to a home, children, adults and the elderly are generally present in the home, and the requirements of the children, the adults and the elderly are generally different due to different ages, health conditions and the like. Therefore, in order to meet different requirements of different users, in this embodiment of the application, before executing S21, user information of each user of the smart door lock may be set, and a contextual model corresponding to each user information may be set, so that after obtaining the target user information, a contextual model corresponding to the target user information (hereinafter referred to as a target contextual model) may be determined.
As an implementation mode, various identity information can be set in the intelligent door lock in advance, a contextual model is bound to each identity information, and the contextual models bound by different identity information can be different. Based on this, when setting the corresponding contextual model for each user information, the identity information corresponding to each user information may be directly set, and then the corresponding relationship between each user information and the identity information is written into the pre-stored corresponding relationship table of the user information and the identity information. Because one type of identity information is bound with one type of contextual model, the setting of the contextual model corresponding to the user information is realized. Based on this, when the target contextual model corresponding to the target user information is determined, the identity information corresponding to the target user information can be searched from the stored corresponding relation table of the user information and the identity information, the searched identity information corresponding to the target user information is used as the target identity information, and the preset contextual model bound with the target identity information is used as the target contextual model corresponding to the target user information.
As an example, the category of the identity information may be set according to characteristics such as age, gender, occupation, preference, and the like, which are easy to distinguish the user. For example, three types of identity information of ordinary, old and children can be set according to age, two types of identity information of male and female can be set according to gender, and identity information of a cleaner, an attendant, a manager and the like can be set according to occupation.
As an embodiment, when identity information corresponding to user information is set, first setting information may be obtained, where the first setting information includes a correspondence between user information to be set (the user information may be previously set user information or newly added user information) and any one of the identity information, and the correspondence between the user information to be set and any one of the identity information included in the first setting information is written into a correspondence table of stored user information and identity information, so as to update the stored correspondence table. When the corresponding relationship between the user information to be set and any identity information included in the first setting information is written into the corresponding relationship table of the stored user information and identity information, whether the user information to be set exists in the corresponding relationship table can be firstly searched, if not, the corresponding relationship between the user information to be set and any identity information included in the first setting information is directly written into the corresponding relationship table, and if so, the corresponding relationship between the user information to be set and the identity information is already set. Thus, addition and deletion of the corresponding relation stored in the corresponding relation table can be realized. The first setting information may be generated by the smart door lock when the user performs the corresponding relation setting operation on the smart door lock, or may be sent to the smart door lock by a terminal (for example, a mobile phone) where the APP is located when the user performs the corresponding relation setting operation in the APP connected to the smart door lock.
In practical application, a user can select identity information corresponding to user information of the user and/or other users through an attribute setting function in the APP to set the identity information corresponding to the user information, then the mobile phone adds the user information and the identity information corresponding to the user information into first setting information according to the selection of the user, and sends the first setting information to the intelligent door lock, so that the intelligent door lock updates a corresponding relation table of the stored user information and the identity information according to the first setting information.
Further, as an embodiment, sometimes the users of the intelligent door lock are too many, so that the user information set in the intelligent door lock is too many, in this case, if a corresponding contextual model is set for each user information respectively, the operation is more cumbersome, and more time needs to be consumed, for this reason, one kind of identity information can be set as default identity information in advance, so, when setting the contextual model, only the corresponding identity information can be set, but not the user information of the default identity information, and the user information of the default identity information can be set for the corresponding identity information, so that the time consumed by setting the contextual model can be reduced, and the setting efficiency is improved. Further, based on this, when the target contextual model corresponding to the target user information is determined, if the identity information corresponding to the target user information is not found from the stored correspondence table between the user information and the identity information, the preset default identity information is used as the target identity information, and then the contextual model bound to the default identity information is used as the target contextual model.
As can be seen from the above, in the present application, different contextual models can be set for different users, so as to implement personalized settings for the users.
And S13, controlling the intelligent door lock by adopting the stored control strategy corresponding to the target contextual model.
In the embodiment of the application, a control strategy is set for each scene mode in advance and stored, the control strategies corresponding to different fuzzy scenes are different, and the control strategy is a strategy for controlling the intelligent door lock.
In the embodiment of the application, after the target contextual model is determined, the control strategy corresponding to the target contextual model can be acquired, and then the intelligent door lock is controlled based on the acquired control strategy.
As an embodiment, the control strategy is a strategy for controlling unlocking feedback of the intelligent door lock when the intelligent door lock is unlocked, and different control strategies can control the intelligent door lock to adopt different unlocking feedback modes.
As an embodiment, the control policy corresponding to each profile may be edited, specifically, when the control policy corresponding to each profile is edited, second setting information may be obtained, where the second setting information includes parameter information of a profile to be edited, and the profile to be edited is edited based on the parameter information in the second setting information. The second setting information may be generated by the smart door lock when the user performs the control policy editing operation on the smart door lock, or may be sent to the smart door lock by a terminal (for example, a mobile phone) where the APP is located when the user performs the control policy editing operation in the APP connected to the smart door lock.
According to the intelligent door lock control method provided by the embodiment of the application, the target user information of the current unlocking user is obtained, the target contextual model corresponding to the target user information is determined, and then the intelligent door lock is controlled by adopting the control strategy corresponding to the stored target contextual model. The contextual model is determined according to the user information of the unlocking user, so that the intelligent door lock can be controlled by adopting control strategies corresponding to different contextual models for different unlocking users, and the requirements of different users can be met by the intelligent door lock.
Furthermore, compared with the intelligent door lock with a single contextual model in the market, the intelligent door lock adopting the intelligent door lock control method can better highlight the intellectualization and attraction of the door lock, can distinguish the intelligent design of the contextual model for different users, meets the requirement of the users on the characteristic design of home life, and simultaneously improves the intelligence and competitiveness of the intelligent door lock.
In another embodiment of the present application, in order to ensure the security of the intelligent door lock, before performing S12, it may be verified whether the target user information is legal user information, if it is determined that the target user information is legal user information, S12 is performed, and if it is determined that the target user information is not legal user information, S12 is not performed. The legal user information is the user information stored in advance.
In another embodiment of the present application, after executing S13, if it is determined that the target profile is the specified profile, the reminder information is generated and sent to the specified object. The content of the designated contextual model, the designated object and the specific reminding information can be set according to actual requirements, for example, the reminding information can remind the designated object of unlocking by using the user of the designated contextual model.
The following describes the intelligent door lock control method provided by the present application, taking the application of the intelligent door lock to a home as an example, with reference to fig. 2.
As shown in fig. 2, the intelligent door lock control method may specifically include the following steps:
and S21, setting user information of each family member.
The home users can set and manage user information of the home users through the mobile phone APP connected with the intelligent door lock.
As an embodiment, the family user can set face image information and/or unlocking information (such as fingerprints, finger veins, passwords and the like) of each family user through the mobile phone APP.
And S22, setting corresponding identity information for each user information.
The home subscriber can select corresponding identity information (for example, children, old people and common) for each user information through a mobile phone APP connected with the intelligent door lock, wherein each identity information corresponds to a contextual model respectively, the contextual model corresponding to the identity information when the identity information is children is a child mode, the contextual model corresponding to the identity information when the identity information is common is a common mode, and the contextual model corresponding to the identity information when the identity information is old people is an old people mode.
When the corresponding identity information is set for each piece of user information, the setting may be performed according to the characteristics (such as age, sex, preference, and the like) of the family user corresponding to the user information, for example, the identity information corresponding to the user information of the family member aged less than 18 years is set as a child, the identity information corresponding to the user information of the family member aged not less than 18 years and not more than 65 years is set as a normal, and the identity information corresponding to the user information of the family member aged more than 65 years is set as an old.
Further, the control strategy corresponding to each contextual model may be preset during production, or may be edited by the user according to actual needs, specifically, the user also edits the control strategy through the mobile phone APP.
As an example, the control strategy corresponding to the elder mode may be to use a specific on/off cue volume, for example, a higher decibel cue volume, for example, 40 decibels. The control strategy of the child mode can be that cartoon character voice liked by children is adopted as a door lock prompt tone, and a user can also add a self-defined door opening and closing prompt tone, for example, a reminding tone of 'please consciously finish homework within a set time' or a song liked by children can be added for children who go home by self everyday. The control strategy for the normal mode may be to use a default alert tone and a default alert volume (e.g., 45 db).
And S23, acquiring target user information of the current unlocking user.
S24, searching whether the stored corresponding relation table of the user information and the identity information has the identity information corresponding to the target user information, if so, executing S25, and if not, executing S26.
And S25, taking the searched identity information corresponding to the target user information as target identity information, and executing S27.
And S26, taking preset default identity information as target identity information.
For the user information without the identity information, the default identity information is determined as the corresponding identity information, wherein the default identity information is one of a plurality of pieces of identity information preset in the intelligent door lock, and can be determined according to actual requirements, for example, can be ordinary.
And S27, taking the contextual model bound with the target identity information as a target contextual model corresponding to the target user information.
And S28, controlling the intelligent door lock by adopting the stored control strategy corresponding to the target contextual model.
As an embodiment, if it is determined that the target contextual model is the child mode, the smart door lock may be controlled to use the voice of a cartoon character liked by the child as a prompt tone when unlocking and locking, or to use a user-defined prompt tone.
As an embodiment, if it is determined that the target contextual model is the senior model, the smart door lock may be controlled to use a warning tone with a higher volume when unlocking and locking.
As an embodiment, if it is determined that the target contextual model is the elder mode, the intelligent door lock may be controlled to adopt a default warning tone with a standard volume when unlocking and locking.
And S29, if the target contextual model is determined to be the designated contextual model, generating reminding information and sending the reminding information to a designated object.
As an embodiment, the designated contextual model may be an old man contextual model and a child contextual model, if the target contextual model is the old man contextual model, a reminding message for reminding the old man to unlock is generated, if the target contextual model is the old man contextual model, a reminding message for reminding the child to unlock is generated, and the generated reminding message is sent to a mobile phone APP connected with the smart door lock to remind a mobile phone user that the old man or the child in the family has come home.
The embodiment of the present application further provides an intelligent door lock control device, as shown in fig. 3, the device may include:
an obtaining module 301, configured to obtain target user information of a current unlocking user;
a mode determining module 302, configured to determine a target contextual mode corresponding to the target user information;
and the control module 303 is configured to control the intelligent door lock by using the stored control strategy corresponding to the target contextual model.
As an embodiment, the target user information is face image information of a current unlocking user and/or unlocking information used by the current unlocking user, and the unlocking information is information for unlocking.
As an embodiment, the mode determining module 302 is specifically configured to:
searching identity information corresponding to the target user information from a corresponding relation table of stored user information and identity information;
taking the identity information corresponding to the target user information which is searched out as target identity information;
and taking a preset contextual model bound with the target identity information as a target contextual model corresponding to the target user information.
For one embodiment, the mode determination module 302 is further configured to:
and if the identity information corresponding to the target user information is not found from the stored corresponding relation table of the user information and the identity information, taking preset default identity information as the target identity information.
As an embodiment, the apparatus may further comprise (not shown in fig. 3):
the first setting module is used for acquiring first setting information, and the first setting information comprises a corresponding relation between the target user information and any identity information;
and writing the corresponding relation between the target user information and any identity information included in the first setting information into a stored corresponding relation table between the user information and the identity information.
As an embodiment, the apparatus may further comprise (not shown in fig. 3):
the second setting module is used for acquiring second setting information, and the second setting information comprises parameter information of a control strategy corresponding to the target contextual model;
and editing the control strategy based on the parameter information.
As an embodiment, the apparatus may further comprise (not shown in fig. 3):
the reminding module is used for generating reminding information if the target contextual model is determined to be the designated contextual model;
and sending the reminding information to a specified object.
As an embodiment, the apparatus may further comprise (not shown in fig. 3):
the verification module is used for verifying whether the target user information is legal user information before determining the target contextual model corresponding to the target user information;
and if the target user information is determined to be legal user information, executing a step of determining a target contextual model corresponding to the target user information.
Referring to fig. 4, fig. 4 is a schematic structural diagram of an electronic device provided in an embodiment of the present application.
As shown in fig. 4, the electronic device provided in this embodiment includes: at least one processor 401, memory 402, at least one network interface 403, and other user interfaces 404. The various components in the electronic device 400 are coupled together by a bus system 405. It is understood that the bus system 405 is used to enable connection communication between these components. The bus system 405 includes a power bus, a control bus, and a status signal bus in addition to a data bus. For clarity of illustration, however, the various buses are labeled as bus system 405 in figure X.
The user interface 404 may include, among other things, a display, a keyboard, or a pointing device (e.g., a mouse, trackball, touch pad, or touch screen, among others.
It will be appreciated that memory 402 in embodiments of the invention may be either volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. The non-volatile Memory may be a Read-Only Memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an Electrically Erasable PROM (EEPROM), or a flash Memory. Volatile Memory can be Random Access Memory (RAM), which acts as external cache Memory. By way of illustration and not limitation, many forms of RAM are available, such as Static random access memory (Static RAM, SRAM), Dynamic Random Access Memory (DRAM), Synchronous Dynamic random access memory (Synchronous DRAM, SDRAM), Double Data Rate Synchronous Dynamic random access memory (ddr Data Rate SDRAM, ddr SDRAM), Enhanced Synchronous SDRAM (ESDRAM), synchlronous SDRAM (SLDRAM), and Direct Rambus RAM (DRRAM). The memory 402 described herein is intended to comprise, without being limited to, these and any other suitable types of memory.
In some embodiments, memory 402 stores the following elements, executable units or data structures, or a subset thereof, or an expanded set thereof: an operating system 4021 and application programs 4022.
The operating system 4021 includes various system programs, such as a framework layer, a core library layer, a driver layer, and the like, and is configured to implement various basic services and process hardware-based tasks. The application programs 4022 include various application programs, such as a Media Player (Media Player), a Browser (Browser), and the like, for implementing various application services. A program for implementing the method according to the embodiment of the present invention may be included in the application 4022.
In this embodiment of the present invention, by calling a program or an instruction stored in the memory 402, specifically, a program or an instruction stored in the application 4022, the processor 401 is configured to execute the method steps provided by the method embodiments, for example, including:
acquiring target user information of a current unlocking user;
determining a target contextual model corresponding to target user information;
and controlling the intelligent door lock by adopting a control strategy corresponding to the stored target contextual model.
The method disclosed in the above embodiments of the present invention may be applied to the processor 401, or implemented by the processor 401. The processor 401 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware or instructions in the form of software in the processor 401. The Processor 401 may be a general-purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, or discrete hardware components. The various methods, steps and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present invention may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software elements in the decoding processor. The software elements may be located in ram, flash, rom, prom, or eprom, registers, among other storage media that are well known in the art. The storage medium is located in the memory 402, and the processor 401 reads the information in the memory 402 and completes the steps of the method in combination with the hardware.
It is to be understood that the embodiments described herein may be implemented in hardware, software, firmware, middleware, microcode, or any combination thereof. For a hardware implementation, the Processing units may be implemented in one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), general purpose processors, controllers, micro-controllers, microprocessors, other electronic units configured to perform the functions of the present Application, or a combination thereof.
For a software implementation, the techniques herein may be implemented by means of units performing the functions herein. The software codes may be stored in a memory and executed by a processor. The memory may be implemented within the processor or external to the processor.
The embodiment of the invention also provides a storage medium (computer readable storage medium). The storage medium herein stores one or more programs. Among others, the storage medium may include volatile memory, such as random access memory; the memory may also include non-volatile memory, such as read-only memory, flash memory, a hard disk, or a solid state disk; the memory may also comprise a combination of memories of the kind described above.
When one or more programs in the storage medium can be executed by one or more processors, the intelligent door lock control method executed on the electronic device side is realized.
The processor is used for executing the intelligent door lock control program stored in the memory so as to realize the following steps of the intelligent door lock control method executed on the electronic equipment side:
acquiring target user information of a current unlocking user;
determining a target contextual model corresponding to target user information;
and controlling the intelligent door lock by adopting a control strategy corresponding to the stored target contextual model.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
It is understood that the same or similar parts in the above embodiments may be mutually referred to, and the same or similar parts in other embodiments may be referred to for the content which is not described in detail in some embodiments.
It should be noted that, in the description of the present application, the terms "first", "second", etc. are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Further, in the description of the present application, the meaning of "a plurality" means at least two unless otherwise specified.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and the scope of the preferred embodiments of the present application includes other implementations in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present application.
It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present application may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application, and that variations, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present application.
Claims (10)
1. An intelligent door lock control method is characterized by comprising the following steps:
acquiring target user information of a current unlocking user;
determining a target contextual model corresponding to the target user information;
and controlling the intelligent door lock by adopting the stored control strategy corresponding to the target contextual model.
2. The method according to claim 1, wherein the target user information is face image information of a current unlocking user and/or unlocking information used by the current unlocking user, and the unlocking information is information for unlocking.
3. The method according to claim 2, wherein the determining the target contextual model corresponding to the target user information comprises:
searching identity information corresponding to the target user information from a corresponding relation table of stored user information and identity information;
taking the identity information corresponding to the target user information which is searched out as target identity information;
and taking a preset contextual model bound with the target identity information as a target contextual model corresponding to the target user information.
4. The method of claim 3, further comprising:
and if the identity information corresponding to the target user information is not found from the stored corresponding relation table of the user information and the identity information, taking preset default identity information as the target identity information.
5. The method of claim 1, further comprising:
acquiring first setting information, wherein the first setting information comprises a corresponding relation between the target user information and any identity information;
and writing the corresponding relation between the target user information and any identity information included in the first setting information into a stored corresponding relation table between the user information and the identity information.
6. The method of claim 1, further comprising:
if the target contextual model is determined to be the designated contextual model, generating reminding information;
and sending the reminding information to a specified object.
7. The method according to claim 1, wherein before determining the target contextual model corresponding to the target user information, the method further comprises:
verifying whether the target user information is legal user information;
and if the target user information is determined to be legal user information, executing a step of determining a target contextual model corresponding to the target user information.
8. An intelligent door lock control device, comprising:
the acquisition module is used for acquiring target user information of a current unlocking user;
the mode determining module is used for determining a target contextual mode corresponding to the target user information;
and the control module is used for controlling the intelligent door lock by adopting the stored control strategy corresponding to the target contextual model.
9. An electronic device, comprising: a processor and a memory, wherein the processor is used for executing the intelligent door lock control program stored in the memory to realize the intelligent door lock control method of any one of claims 1 to 7.
10. A storage medium storing one or more programs, the one or more programs being executable by one or more processors to implement the intelligent door lock control method of any one of claims 1-7.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114582053A (en) * | 2022-02-25 | 2022-06-03 | 珠海格力电器股份有限公司 | Control method and device of intelligent lock, electronic equipment and storage medium |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9576491B1 (en) * | 2011-12-07 | 2017-02-21 | Tian Wu | School child tracking system |
| CN107230268A (en) * | 2017-05-19 | 2017-10-03 | 胡渐佳 | The intelligent door lock of voice messaging is played based on enabling user interest |
| CN109191649A (en) * | 2018-10-26 | 2019-01-11 | 珠海格力电器股份有限公司 | A kind of method and device that intelligent door lock control authority is shared |
| CN109345663A (en) * | 2018-08-23 | 2019-02-15 | 广东汇泰龙科技有限公司 | A kind of method and system that the differentiation identity based on cloud lock is left a message |
| CN109544755A (en) * | 2018-11-27 | 2019-03-29 | 深圳市赛亿科技开发有限公司 | A kind of intelligent door lock control method and system |
| CN109615738A (en) * | 2018-11-30 | 2019-04-12 | 深圳绿米联创科技有限公司 | Door lock management method, device, electronic equipment and storage medium |
| CN109801403A (en) * | 2017-11-16 | 2019-05-24 | 杭州海康威视数字技术股份有限公司 | A kind of information cuing method, device, system and intelligent electronic lock |
-
2021
- 2021-09-15 CN CN202111081170.3A patent/CN113870461A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9576491B1 (en) * | 2011-12-07 | 2017-02-21 | Tian Wu | School child tracking system |
| CN107230268A (en) * | 2017-05-19 | 2017-10-03 | 胡渐佳 | The intelligent door lock of voice messaging is played based on enabling user interest |
| CN109801403A (en) * | 2017-11-16 | 2019-05-24 | 杭州海康威视数字技术股份有限公司 | A kind of information cuing method, device, system and intelligent electronic lock |
| CN109345663A (en) * | 2018-08-23 | 2019-02-15 | 广东汇泰龙科技有限公司 | A kind of method and system that the differentiation identity based on cloud lock is left a message |
| CN109191649A (en) * | 2018-10-26 | 2019-01-11 | 珠海格力电器股份有限公司 | A kind of method and device that intelligent door lock control authority is shared |
| CN109544755A (en) * | 2018-11-27 | 2019-03-29 | 深圳市赛亿科技开发有限公司 | A kind of intelligent door lock control method and system |
| CN109615738A (en) * | 2018-11-30 | 2019-04-12 | 深圳绿米联创科技有限公司 | Door lock management method, device, electronic equipment and storage medium |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114582053A (en) * | 2022-02-25 | 2022-06-03 | 珠海格力电器股份有限公司 | Control method and device of intelligent lock, electronic equipment and storage medium |
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Application publication date: 20211231 |