CN113179348B - Intelligent device management method, device, equipment and storage medium - Google Patents

Intelligent device management method, device, equipment and storage medium Download PDF

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Publication number
CN113179348B
CN113179348B CN202110424299.3A CN202110424299A CN113179348B CN 113179348 B CN113179348 B CN 113179348B CN 202110424299 A CN202110424299 A CN 202110424299A CN 113179348 B CN113179348 B CN 113179348B
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viscosity
value
user
mode
intelligent
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CN113179348A (en
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陈宇
黄睿斌
王泽佳
吴建新
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Gree Electric Appliances Inc of Zhuhai
Zhuhai Lianyun Technology Co Ltd
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Gree Electric Appliances Inc of Zhuhai
Zhuhai Lianyun Technology Co Ltd
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    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

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Abstract

The application relates to an intelligent device management method, an intelligent device management device, an intelligent device and a storage medium. The method comprises the following steps: acquiring running information operated by a user when the intelligent equipment is used; analyzing the operation information to obtain an operation viscosity value of the intelligent equipment operated by the user; determining an operating viscosity interval where the operating viscosity value is located; acquiring at least one piece of operation instruction information corresponding to the operation viscosity interval; and prompting the operation indication information, wherein the operation indication information is used for indicating corresponding operation on the intelligent equipment. The application is used for solving the problem that the viscosity of the intelligent device used by a user is low.

Description

Intelligent device management method, device, equipment and storage medium
Technical Field
The present application relates to the field of intelligent devices, and in particular, to a method, an apparatus, a device, and a storage medium for managing an intelligent device.
Background
At present, intelligent devices such as intelligent air conditioners, intelligent refrigerators and the like are more and more common in daily life of people. People can remotely control the operation of the intelligent equipment in modes of Application programs (APP for short) installed on terminals such as mobile phones and the like.
However, in the prior art, the remote control of the smart device usually only simply transmits the operation command input by the user to the smart device. The user folk prescription is operated to smart machine, and the user can appear and know not comprehensively to smart machine's multiple function, and the condition that some functions of smart machine can not used by the user causes smart machine's function result of use not good, and then leads to the user to reduce smart machine's use number of times, the user carries out the viscidity low grade problem of operating to smart machine.
Disclosure of Invention
The application provides an intelligent device management method, an intelligent device management device and a storage medium, which are used for solving the problem that the intelligent device is low in viscosity when being used by a user.
In a first aspect, an embodiment of the present application provides an intelligent device management method, including: acquiring running information of the intelligent equipment operated by a user in the using process; analyzing the operation information to obtain an operation viscosity value of the intelligent equipment operated by the user; determining an operation viscosity interval where the operation viscosity value operated by the user is located; acquiring at least one piece of operation instruction information corresponding to the operation viscosity interval; and prompting the operation indication information, wherein the operation indication information is used for indicating corresponding operation on the intelligent equipment.
Optionally, the analyzing the operation information to obtain an operation viscosity value of the smart device operated by the user includes: acquiring an operation parameter value of at least one operation mode in the operation information; for each of the operating modes, processing as follows: comparing the running parameter value with a preset mode reference parameter value corresponding to the operation mode; converting the comparison result into an operating viscosity value of the operating mode; and calculating the operation viscosity value of each operation mode according to a preset operation viscosity calculation mode to obtain the operation viscosity value of the intelligent equipment operated by the user.
Optionally, the calculating the operation viscosity value of each operation mode according to a preset operation viscosity calculation manner to obtain the operation viscosity value of the smart device operated by the user includes: respectively weighting the operation viscosity value of each operation mode according to the preset mode weight corresponding to each operation mode; and accumulating the operation viscosity value of each weighted operation mode, and taking a first accumulation result as the operation viscosity value of the intelligent equipment operated by the user.
Optionally, the operation parameter value includes a value of at least one operation parameter, and the preset mode reference parameter value includes a preset parameter reference parameter value corresponding to the at least one operation parameter in the operation mode; the comparing the running parameter value and the preset mode reference parameter value corresponding to the operation mode includes: respectively comparing the value of each operating parameter with a preset parameter reference parameter value corresponding to the operating parameter in the operating mode to obtain a ratio corresponding to each operating parameter; the converting the comparison result into an operating viscosity value for the operating mode comprises: respectively carrying out weighting processing on the ratio corresponding to each operation parameter through the preset parameter weight corresponding to each operation parameter; and accumulating the ratio corresponding to each weighted operation parameter, and taking a second accumulation result as the operation viscosity value of the operation mode.
Optionally, one of the operating viscosity intervals corresponds to one indication information list, and the indication information list includes at least one of the operating indication information; the acquiring of the at least one operation instruction information corresponding to the operation viscosity interval includes: obtaining the maximum viscosity value of the operation viscosity interval; and acquiring at least one piece of operation indication information corresponding to the first difference value in the indication information list according to the first difference value between the operation viscosity value operated by the user and the maximum viscosity value.
Optionally, one of the operating viscosity intervals corresponds to one indication information list, and the indication information list includes at least one of the operating indication information; the acquiring of the at least one operation instruction information corresponding to the operation viscosity interval includes: acquiring a target viscosity required by the user, wherein the target viscosity is located in the operating viscosity interval; and acquiring at least one piece of operation indication information corresponding to the second difference value in the indication information list according to the second difference value between the operation viscosity value operated by the user and the target viscosity.
Optionally, after prompting the operation instruction information, the method further includes: after the confirmation information of the operation indication information is acquired, generating an operation instruction corresponding to the operation indication information, wherein the operation instruction is used for controlling the intelligent equipment to execute the corresponding operation of the equipment; and transmitting the operation instruction to the intelligent equipment.
In a second aspect, an embodiment of the present application provides an intelligent device management apparatus, including: the first acquisition module is used for acquiring the running information operated by a user when the intelligent equipment is used; the analysis module is used for analyzing the operation information to obtain an operation viscosity value of the intelligent equipment operated by the user; the determining module is used for determining an operation viscosity interval where the operation viscosity value operated by the user is located; the second acquisition module is used for acquiring at least one piece of operation instruction information corresponding to the operation viscosity interval; and the prompting module is used for prompting the operation indication information, wherein the operation indication information is used for indicating the corresponding operation of the intelligent equipment.
In a third aspect, an embodiment of the present application provides an electronic device, including: the system comprises a processor, a memory and a communication bus, wherein the processor and the memory are communicated with each other through the communication bus; the memory for storing a computer program; the processor is configured to execute the program stored in the memory, and implement the intelligent device management method according to the first aspect.
In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the computer program implements the intelligent device management 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: the method provided by the embodiment of the application obtains the operation information of the intelligent equipment operated by the user, analyzes the operation information to obtain the operation viscosity value of the intelligent equipment operated by the user, obtains at least one operation instruction information according to the operation viscosity interval where the operation viscosity value is located, and prompts the operation instruction information. In the process, the operation viscosity value obtained by the operation information reflects the operation viscosity value of the intelligent equipment operated by the user, and when the operation viscosity values are different, the obtained operation indication information is different. That is, the content of the operation instruction information is determined according to the operation viscosity value of the smart device operated by the user. The more operations the user has on the smart device, that is, the higher the operation viscosity value of the smart device operated by the user is, the more complicated operation instruction information in the execution process may be prompted to the user, or the higher the operation viscosity value is, the more operation instruction information corresponding to the function that is less used may be prompted to the user. Through the operation information of the intelligent equipment, the feedback of the intelligent equipment to the user operation is realized, the viscosity of the user to the use of the intelligent equipment is improved, and the use effect of the intelligent equipment is further improved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.
Fig. 1 is a schematic step diagram of a process of an intelligent device management method provided in an embodiment of the present application;
FIG. 2 is a schematic diagram illustrating steps of a process for analyzing operational information provided in an embodiment of the present application;
fig. 3 is a schematic structural connection diagram of an intelligent device management apparatus provided in an embodiment of the present application;
fig. 4 is a schematic structural connection diagram of an electronic device provided in an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without making creative efforts shall fall within the protection scope of the present application.
The intelligent device management method provided in the embodiment of the application is applied to first devices capable of realizing the process of the method, the first devices can be various types of devices such as a smart phone, a tablet computer and a smart bracelet, and the method can be realized in a client installed on the first devices, for example, the method is realized in an APP of the smart phone. The scope of protection of the application is not limited by the type of equipment and implementation of the method. The first device can communicate information or data with the smart device to implement the method. In the following, the method is described by taking the implementation of the method in the client as an example.
In one embodiment, as shown in fig. 1, the intelligent device management method includes the following main steps:
step 101, obtaining operation information of the intelligent device operated by a user when in use.
In this embodiment, the method is implemented at the client, and the user needs to log in the client to implement the method. When a user logs in a client for the first time, the user is required to input user information through the client, and the user information can be information such as the gender, age, mobile phone number and the like of the user. After the user logs in the client, the device information of the intelligent device can be input through the client, and the device information can be the model, the purchase date and the like of the device. The same user may input device information for one or more smart devices.
In this embodiment, after the intelligent device is operated by the user, the intelligent device can enter a corresponding operation mode to automatically operate. A user can directly operate the intelligent equipment through components such as an operation button, an operation knob, an operation interface and the like contained in the intelligent equipment; the user can also operate in a remote mode, the operation requirement is input at the client, the client generates an operation instruction according to the operation requirement, the operation instruction is transmitted to the intelligent device, and the intelligent device executes the operation instruction. The scope of protection of the present application is not limited in the form in which the smart device is operated.
In this embodiment, the intelligent device may be a plurality of types of devices, for example, an intelligent door lock, an intelligent air conditioner, an intelligent refrigerator, and the like, and the scope of protection of the present application is not limited to the specific type of the intelligent device. The operation information of the intelligent device refers to information about operation of the intelligent device after the intelligent device is operated to enter operation. The intelligent equipment is operated by a user, and after the intelligent equipment enters automatic operation, the operation information can be automatically reported to the client; or after the client transmits a request instruction of the operation information to the intelligent device, the intelligent device reports the operation information according to the request instruction.
And 102, analyzing the running information to obtain an operation viscosity value of the intelligent equipment operated by the user.
In this embodiment, after the user operates the smart device, the operation information of the smart device can reflect the operation viscosity value of the smart device operated by the user. And when the operation information is the operation information of the intelligent equipment, the operation viscosity value is the operation viscosity value of the intelligent equipment operated by the user. And when the operation information is more than one intelligent device, respectively analyzing the operation information of each intelligent device to obtain an operation viscosity value corresponding to each intelligent device, and finally obtaining the operation viscosity values of the user for operating all the intelligent devices according to the operation viscosity value corresponding to each intelligent device.
In one embodiment, the operation information of an intelligent device at least includes one operation mode, and when the operation information is analyzed, each operation mode needs to be analyzed. As shown in fig. 2, the operation information is analyzed to obtain an operation viscosity value of the intelligent device operated by the user, and the specific process is as follows:
step 201, obtaining an operation parameter value of at least one operation mode in the operation information.
In this embodiment, the operation parameter value refers to a value of an operation parameter, for example, the operation parameter corresponding to the power saving mode of the intelligent refrigerator may be an operation duration, or may be an operation frequency within a period of time.
Step 202, for each operation mode, the following processing is performed: comparing the running parameter value with a preset mode reference parameter value corresponding to the operation mode; the comparison result is converted into an operating viscosity value of the operating mode.
In this embodiment, at least one operation mode exists in one smart device, for example, a normal mode and a power saving mode exist in the smart refrigerator. After the intelligent device enters an operation mode to operate, corresponding operation parameter values are generated.
The operating parameter value for each operating mode is compared to a preset mode reference parameter value. The preset mode reference parameter value is a value set according to actual conditions and needs, and may be a value calculated according to a preset rule and historical data of an operation mode of the intelligent device, or a value manually set according to experience.
And 203, calculating the operation viscosity value of each operation mode according to a preset operation viscosity calculation mode to obtain the operation viscosity value of the intelligent equipment operated by the user.
In this embodiment, the operation parameter value of each operation mode is compared with the preset mode reference parameter value corresponding to the operation mode to obtain a comparison result corresponding to the operation mode, and the comparison result is converted into the operation viscosity value of the operation mode. And then calculating the operation viscosity value of each operation mode of the intelligent equipment according to a preset operation viscosity calculation mode to obtain the operation viscosity value of the intelligent equipment operated by the user.
In one embodiment, each operation mode contained in the operation information is different in execution process and complexity, and in each operation mode, the mode effect provided by the intelligent device to the user is different. Therefore, a weight is set for each operation mode. Specifically, according to a preset operation viscosity calculation mode, the operation viscosity value of each operation mode is calculated to obtain the operation viscosity value of the intelligent device operated by the user, and the implementation process is as follows:
respectively weighting the operation viscosity value of each operation mode according to the preset mode weight corresponding to each operation mode; and accumulating the operation viscosity value of each weighted operation mode, and taking the first accumulation result as the operation viscosity value of the intelligent equipment operated by the user.
In this embodiment, the preset mode weight corresponding to each operation mode is set according to actual conditions and needs, the preset mode weight may be a value calculated according to a preset rule and historical data of the operation mode of the intelligent device, or a value manually set according to experience, and the protection range of the present application is not limited by the setting manner of the preset mode weight.
In this embodiment, the corresponding weight is set for each operation mode, and the importance degree or the complexity degree between the operation modes can be distinguished. For example, in the normal mode and the power saving mode of the smart refrigerator, the power saving mode more meets the current large environmental requirement, i.e. the power saving mode is more important, the weight of the power saving mode is set to 0.6, and the weight of the normal mode is set to 0.4. Therefore, when the user operates the power saving mode of the intelligent refrigerator, the operation viscosity value of the user operation of the intelligent refrigerator is higher, and the user is further encouraged to use the power saving mode.
In one embodiment, the operation parameter value includes at least one operation parameter value in one operation mode, for example, the power saving mode of the intelligent refrigerator includes two operation parameters, i.e., an operation duration and a door opening and closing frequency. Each operating parameter needs to be set with a corresponding preset parameter reference parameter value. Then, comparing the operation parameter value with a preset mode reference parameter value corresponding to the operation mode, and the specific process is as follows: and respectively comparing the value of each operation parameter with a preset parameter reference parameter value corresponding to the operation parameter in the operation mode to obtain a ratio corresponding to each operation parameter.
And if the importance degrees of different operation parameters are different, the importance degrees of different operation parameters are distinguished by setting the weight corresponding to each operation parameter. Then, the comparison result is converted into an operation viscosity value of the operation mode, which specifically comprises the following steps: respectively carrying out weighting processing on the ratio corresponding to each operation parameter through the preset parameter weight corresponding to each operation parameter; and accumulating the ratio corresponding to each weighted operation parameter, and taking the second accumulation result as the operation viscosity value of the operation mode.
In this embodiment, weights are set for different operating parameters, and a situation that each operating parameter contributes the same to the operating viscosity value of the operating mode is avoided. The operation viscosity value which is more accurate and close to the actual condition can be obtained.
And 103, determining an operation viscosity interval where the operation viscosity value operated by the user is located.
In this embodiment, more than one continuous operating viscosity interval is preset, for example, 3 to 5 (including 5) is one operating viscosity interval, and 5 to 8 (including 8) is another operating viscosity interval. The operation viscosity interval is set according to actual conditions and needs, the operation viscosity interval can be calculated according to historical data of an operation mode of the intelligent equipment and preset rules, and can also be manually set according to experience, and the protection range of the application is not limited by the setting mode of the operation viscosity interval. And when the operation viscosity value of the intelligent equipment operated by the user is obtained, the operation viscosity interval in which the operation viscosity value is positioned can be determined.
And 104, acquiring at least one piece of operation instruction information corresponding to the operation viscosity interval.
Each operation viscosity interval corresponds to at least one operation indication message. And when the operation viscosity interval is determined by the operation viscosity value, at least one operation indication message can be determined.
In one embodiment, one operational viscosity interval corresponds to one indication information list, and the indication information list comprises at least one operational indication information. Acquiring at least one operation instruction information corresponding to the operation viscosity interval, wherein the specific process is as follows: acquiring the maximum viscosity value of the operation viscosity interval; and acquiring at least one piece of operation indication information corresponding to the first difference in the indication information list according to the first difference between the operation viscosity value and the maximum viscosity value.
In this embodiment, the number and content of the operation instruction information included in the instruction information list are set according to actual situations and needs, for example, one instruction information list includes three pieces of operation instruction information, and the larger the numerical value in the operation viscosity interval is, the simpler the operation execution process corresponding to the operation instruction information in the instruction information list is. The scope of protection of the present application is not limited to the content of the instruction information list.
In this embodiment, the last operation instruction information is determined according to the first difference between the operation viscosity value and the maximum viscosity value, that is, the maximum viscosity value in the operation viscosity section is used as the reference value for determining the operation instruction information. When the first difference is smaller, the operation viscosity value is closer to the maximum value of the operation viscosity interval, and then operation indication information with a simpler execution process or more in accordance with specific incentive such as interest of people can be obtained.
In one embodiment, the value used as a reference in the operating viscosity range can be customized. Specifically, one operational viscosity interval corresponds to one indication information list, and the indication information list comprises at least one operational indication information. Acquiring at least one operation instruction information corresponding to the operation viscosity interval, wherein the specific process is as follows: acquiring a target viscosity required by a user, wherein the target viscosity is positioned in an operating viscosity interval; and acquiring at least one piece of operation indication information corresponding to the second difference in the indication information list according to the second difference between the operation viscosity value and the target viscosity.
In this embodiment, the target viscosity refers to an operation viscosity value required by a user. In certain situations, for example, when it is desired to convert the operating viscosity value to another service or item, it may not be necessary to reach the maximum value of the operating viscosity interval, so long as the operating viscosity value desired by the user is reached. Therefore, when the operation instruction information is determined, the target viscosity is used as the reference value, so that a more flexible mode can be provided for determining the operation instruction information, and the use experience of the user can be improved.
And 105, prompting operation indication information, wherein the operation indication information is used for indicating corresponding operation on the intelligent equipment.
In this embodiment, after the operation instruction information is determined, the operation instruction information is prompted. The prompting mode can be related characters or pictures displayed on the picture, can also be used for broadcasting the content of the operation indication information in voice, and can also be used for simultaneously displaying the picture and broadcasting the voice. The protection scope of the present application is not limited by the manner of prompting the operation instruction information.
In one embodiment, after the operation indication information is prompted, the intelligent device can be directly operated according to the operation indication information. The specific process is as follows: after the confirmation information of the operation indication information is acquired, generating an operation instruction corresponding to the operation indication information, wherein the operation instruction is used for controlling the intelligent equipment to execute the corresponding operation of the equipment; and transmitting the operation instruction to the intelligent equipment.
After the operation instruction information is presented, if the determination information of the operation instruction information is not obtained, the subsequent processing is not performed. And if the confirmation information of the operation instruction information is acquired, generating an operation instruction corresponding to the operation instruction information, and transmitting the operation instruction to the intelligent equipment. The intelligent device can directly execute the corresponding operation of the device according to the operation instruction, the manual operation of a user is not needed, the operation process is simplified, the efficiency of the intelligent device operated by the user is improved, and the use experience of the user is further improved.
According to the intelligent device management method, the operation information of the intelligent device operated by the user is obtained, the operation information is analyzed, the operation viscosity value of the intelligent device operated by the user is obtained, at least one operation indication information is obtained according to the operation viscosity interval where the operation viscosity value is located, and the operation indication information is prompted. In the process, the operation viscosity value obtained by the operation information reflects the operation viscosity value of the intelligent equipment operated by the user, and when the operation viscosity values are different, the obtained operation indication information is different. That is, the content of the operation instruction information is determined according to the operation viscosity value of the smart device operated by the user. The more operations the user has on the smart device, that is, the higher the operation viscosity value of the smart device operated by the user is, the more complicated operation instruction information in the execution process may be prompted to the user, or the higher the operation viscosity value is, the more operation instruction information corresponding to the function that is less used may be prompted to the user. Through the operation information of the intelligent equipment, the feedback of the intelligent equipment to the user operation is realized, the viscosity of the user to the use of the intelligent equipment is improved, and the use effect of the intelligent equipment is further improved.
In the process of obtaining the operation viscosity value corresponding to the intelligent equipment, the operation mode of the intelligent equipment and the operation parameters in the operation mode can be weighted, so that the finally obtained operation viscosity value is more in line with the actual situation and the user requirement.
When the operation instruction information is determined, the maximum value in the operation viscosity section may be used as a reference value, or a target viscosity required by the user may be used as a reference value. The process of determining the operation indication information is more flexible, and the use experience of a user is improved.
After the confirmation information of the operation instruction information is acquired, the operation instruction corresponding to the operation instruction information is generated, the intelligent device directly executes the corresponding operation of the equipment according to the operation instruction, the manual operation of a user is not needed, the operation process is simplified, the efficiency of the intelligent device operated by the user is improved, and the use experience of the user is further improved.
Based on the same concept, an intelligent device management apparatus is provided in the embodiments of the present application, and specific implementation of the apparatus may refer to the description of the method embodiment, and repeated details are not repeated, as shown in fig. 3, the apparatus mainly includes:
a first obtaining module 301, configured to obtain operation information that is operated by a user when the smart device is in use;
the analysis module 302 is configured to analyze the operation information to obtain an operation viscosity value of the intelligent device operated by the user;
a determining module 303, configured to determine an operating viscosity interval where an operating viscosity value operated by a user is located;
a second obtaining module 304, configured to obtain at least one operation instruction information corresponding to the operation viscosity interval;
the prompting module 305 is configured to prompt operation instruction information, where the operation instruction information is used to instruct to perform a corresponding operation on the smart device.
Based on the same concept, an embodiment of the present application further provides an electronic device, as shown in fig. 4, the electronic device mainly includes: a processor 401, a memory 402 and a communication bus 403, wherein the processor 401 and the memory 402 communicate with each other through the communication bus 403. The memory 402 stores a program executable by the processor 401, and the processor 401 executes the program stored in the memory 402, thereby implementing the following steps: acquiring running information operated by a user when the intelligent equipment is used; analyzing the operation information to obtain an operation viscosity value of the intelligent equipment operated by a user; determining an operation viscosity interval where an operation viscosity value operated by a user is located; acquiring at least one piece of operation instruction information corresponding to the operation viscosity interval; and prompting operation indication information, wherein the operation indication information is used for indicating corresponding operation on the intelligent equipment.
The communication bus 403 mentioned in the electronic device may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The communication bus 403 may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in FIG. 4, but that does not indicate only one bus or one type of bus.
The Memory 402 may include a Random Access Memory (RAM) or a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. Alternatively, the memory may be at least one memory device located remotely from the aforementioned processor 401.
The Processor 401 may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), etc., and may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic devices, discrete gates or transistor logic devices, and discrete hardware components.
In yet another embodiment of the present application, there is also provided a computer-readable storage medium having a computer program stored therein, which, when run on a computer, causes the computer to execute the intelligent device management method described in the above embodiment.
In the above embodiments, the implementation may be wholly or partially realized 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, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored on a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website site, computer, server, or data center to another website site, computer, server, or data center via wire (e.g., coaxial cable, fiber optic, digital Subscriber Line (DSL)) or wirelessly (e.g., infrared, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that includes one or more of the available media. The available media may be magnetic media (e.g., floppy disks, hard disks, tapes, etc.), optical media (e.g., DVDs), or semiconductor media (e.g., solid state drives), among others.
It is noted that, in this document, relational terms such as "first" and "second," and the like, are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising one of 8230; \8230;" 8230; "does not exclude the presence of additional like elements in a process, method, article, or apparatus that comprises the element.
The above description is merely illustrative of particular embodiments of the invention that enable those skilled in the art to understand or practice the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (9)

1. An intelligent device management method, comprising:
acquiring running information of the intelligent equipment operated by a user in the using process;
analyzing the operation information to obtain an operation viscosity value of the intelligent device operated by the user, wherein the more the user operates the intelligent device, the higher the operation viscosity value of the intelligent device operated by the user is;
determining an operation viscosity interval where the operation viscosity value operated by the user is located;
acquiring at least one piece of operation instruction information corresponding to the operation viscosity interval;
prompting the operation indication information, wherein the operation indication information is used for indicating corresponding operation on the intelligent equipment;
wherein, the analyzing the operation information to obtain the operation viscosity value of the intelligent device operated by the user comprises:
acquiring an operation parameter value of at least one operation mode in the operation information;
for each of the operating modes, processing as follows: comparing the running parameter value with a preset mode reference parameter value corresponding to the operation mode; converting the comparison result into an operating viscosity value of the operating mode;
and calculating the operation viscosity value of each operation mode according to a preset operation viscosity calculation mode to obtain the operation viscosity value of the intelligent equipment operated by the user.
2. The intelligent device management method according to claim 1, wherein the calculating the operation viscosity value of each operation mode according to a preset operation viscosity calculation manner to obtain the operation viscosity value of the intelligent device operated by the user comprises:
respectively weighting the operation viscosity value of each operation mode according to the preset mode weight corresponding to each operation mode;
and accumulating the operation viscosity value of each weighted operation mode, and taking a first accumulation result as the operation viscosity value of the intelligent equipment operated by the user.
3. The intelligent device management method according to claim 1, wherein the operation parameter value includes a value of at least one operation parameter, and the preset mode reference parameter value includes a preset parameter reference parameter value corresponding to the at least one operation parameter in the operation mode;
the comparing the operation parameter value and the preset mode reference parameter value corresponding to the operation mode includes:
respectively comparing the value of each operating parameter with a preset parameter reference parameter value corresponding to the operating parameter in the operating mode to obtain a ratio corresponding to each operating parameter;
the converting the comparison result into an operating viscosity value for the operating mode comprises:
respectively carrying out weighting processing on the ratio corresponding to each operation parameter through the preset parameter weight corresponding to each operation parameter;
and accumulating the ratio corresponding to each weighted operation parameter, and taking a second accumulation result as the operation viscosity value of the operation mode.
4. The intelligent device management method according to claim 1, wherein one of the operation viscosity intervals corresponds to one indication information list, and the indication information list includes at least one of the operation indication information;
the acquiring of the at least one operation instruction information corresponding to the operation viscosity interval includes:
obtaining the maximum viscosity value of the operation viscosity interval;
and acquiring at least one piece of operation indication information corresponding to the first difference value in the indication information list according to the first difference value between the operation viscosity value operated by the user and the maximum viscosity value.
5. The intelligent device management method according to claim 1, wherein one of the operation viscosity intervals corresponds to one indication information list, and the indication information list includes at least one of the operation indication information;
the acquiring of the at least one operation instruction information corresponding to the operation viscosity interval includes:
obtaining a target viscosity required by the user, wherein the target viscosity is located in the operating viscosity interval;
and acquiring at least one piece of operation indication information corresponding to the second difference value in the indication information list according to the second difference value between the operation viscosity value operated by the user and the target viscosity.
6. The intelligent device management method according to claim 1, further comprising, after prompting the operation instruction information:
after the confirmation information of the operation indication information is acquired, generating an operation instruction corresponding to the operation indication information, wherein the operation instruction is used for controlling the intelligent equipment to execute the corresponding operation of the equipment;
and transmitting the operation instruction to the intelligent equipment.
7. An intelligent device management apparatus, comprising:
the first acquisition module is used for acquiring the running information of the intelligent equipment operated by a user when in use;
the analysis module is used for analyzing the operation information to obtain an operation viscosity value of the intelligent equipment operated by the user, wherein the more the user operates the intelligent equipment, the higher the operation viscosity value of the intelligent equipment operated by the user is;
the determining module is used for determining an operation viscosity interval where the operation viscosity value operated by the user is located;
the second acquisition module is used for acquiring at least one piece of operation instruction information corresponding to the operation viscosity interval;
the prompting module is used for prompting the operation indication information, wherein the operation indication information is used for indicating corresponding operation on the intelligent equipment;
wherein, the analyzing the operation information to obtain the operation viscosity value of the intelligent device operated by the user comprises:
acquiring an operation parameter value of at least one operation mode in the operation information;
for each of the operating modes, processing as follows: comparing the running parameter value with a preset mode reference parameter value corresponding to the operation mode; converting the comparison result into an operating viscosity value of the operating mode;
and calculating the operation viscosity value of each operation mode according to a preset operation viscosity calculation mode to obtain the operation viscosity value of the intelligent equipment operated by the user.
8. An electronic device, comprising: the system comprises a processor, a memory and a communication bus, wherein the processor and the memory are communicated with each other through the communication bus;
the memory for storing a computer program;
the processor, configured to execute the program stored in the memory, and implement the intelligent device management method according to any one of claims 1 to 6.
9. A computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the smart device management method of any of claims 1 to 6.
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CN103365853A (en) * 2012-03-28 2013-10-23 浩鑫股份有限公司 Recording and feedback method for adaptive using behaviors of mobile device
CN106776660A (en) * 2015-11-25 2017-05-31 阿里巴巴集团控股有限公司 A kind of information recommendation method and device
CN107295044A (en) * 2016-03-31 2017-10-24 阿里巴巴集团控股有限公司 A kind of method and apparatus for carrying out application program management
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