CN117289613A

CN117289613A - Pre-starting intelligent implementation method and device of intelligent equipment

Info

Publication number: CN117289613A
Application number: CN202210679036.1A
Authority: CN
Inventors: 陈小平; 李田; 何龙彪
Original assignee: Foshan Viomi Electrical Technology Co Ltd; Yunmi Internet Technology Guangdong Co Ltd
Current assignee: Foshan Viomi Electrical Technology Co Ltd; Yunmi Internet Technology Guangdong Co Ltd
Priority date: 2022-06-16
Filing date: 2022-06-16
Publication date: 2023-12-26

Abstract

The invention discloses a method and a device for realizing pre-starting intelligence of intelligent equipment, wherein the method comprises the following steps: detecting whether a target person exists in a preset induction range corresponding to the intelligent equipment; if yes, collecting the movement parameters of the target personnel; determining the confidence level of the use requirement of the target personnel on the intelligent equipment according to the mobile parameter; judging whether the confidence coefficient of the use requirement is larger than or equal to a preset confidence coefficient threshold value of the use requirement; if yes, generating pre-starting parameters of the intelligent equipment, and executing pre-starting operation on the intelligent equipment. Therefore, the implementation of the method and the device can realize the pre-starting automation of the intelligent equipment without manually controlling the starting button of the intelligent equipment or relying on the user side to remotely start and control the intelligent equipment, so that the intelligent starting mode of the intelligent equipment is enriched, the starting convenience and the starting efficiency of the intelligent equipment are improved, the equipment use requirement of a user is further met rapidly, and the use experience of the user on the intelligent equipment is improved.

Description

Pre-starting intelligent implementation method and device of intelligent equipment

Technical Field

The invention relates to the technical field of intelligent equipment, in particular to a method and a device for realizing pre-starting intelligence of intelligent equipment.

Background

With the continuous progress of artificial intelligence technology, intelligent devices have penetrated every corner of people's life, which can greatly satisfy various living demands of users, provide great convenience for the life of users and create a good and comfortable living environment.

Currently, under the condition that a user prepares to use the intelligent device, the user generally realizes the starting process of the intelligent device by manually controlling a starting button of the intelligent device, or starts the intelligent device by remotely controlling the intelligent device through a user side, thereby meeting the subsequent device use requirements of the user. However, through practice, it is found that the remote control start is performed on the intelligent device by using the user terminal, so that the user is required to carry the user terminal with him, and when he does not carry the user terminal, he can start the intelligent device only by performing the close control on the intelligent device. Therefore, the current intelligent device starting implementation method is difficult to improve the starting efficiency of the intelligent device.

Disclosure of Invention

The technical problem to be solved by the invention is to provide the method and the device for realizing the pre-starting intelligence of the intelligent equipment, which can enrich the intelligent starting mode of the intelligent equipment and improve the starting convenience and the starting efficiency of the intelligent equipment, thereby rapidly meeting the equipment use requirements of users and improving the use experience of the users on the intelligent equipment.

In order to solve the technical problems, the first aspect of the present invention discloses a method for implementing pre-start-up intelligence of an intelligent device, which comprises:

detecting whether a target person exists in a preset induction range corresponding to the intelligent equipment;

when the detection result is yes, collecting the movement parameters of the target personnel, and determining the confidence level of the use requirement of the target personnel on the intelligent equipment according to the movement parameters of the target personnel; the movement parameters comprise at least one of a movement rate, a movement direction and a movement track;

judging whether the use demand confidence coefficient is larger than or equal to a preset use demand confidence coefficient threshold value;

when the judgment result is yes, generating a first pre-starting parameter of the intelligent equipment; the first pre-starting parameter of the intelligent equipment comprises a pre-starting time point and/or a pre-starting function of the intelligent equipment;

and executing the pre-starting operation on the intelligent equipment according to the first pre-starting parameter.

As an optional implementation manner, in the first aspect of the present invention, before the determining, according to the movement parameter of the target person, a confidence level of a use requirement of the target person for the smart device, the method further includes:

Determining current target parameters of the target personnel and equipment function parameters of the intelligent equipment; the current target parameters of the target person comprise at least one of current activity parameters, current voice parameters, current scene parameters and current physiological parameters of the target person;

determining a parameter association degree between the current target parameter and a device function parameter of the intelligent device; judging whether the parameter association degree is larger than or equal to a preset association degree threshold value or not; and when the judgment result is yes, triggering and executing the operation of determining the confidence level of the use requirement of the target personnel on the intelligent equipment according to the movement parameters of the target personnel.

As an optional implementation manner, in the first aspect of the present invention, before the generating the first pre-boot parameter of the smart device, the method further includes:

when the current target parameters of the target personnel comprise the current activity parameters and the current physiological parameters of the target personnel, predicting first use requirement information corresponding to the target personnel according to the movement parameters of the target personnel and the current target parameters of the target personnel;

Predicting a first pre-use condition of the intelligent device by the target person according to the first use requirement information and the device function parameter of the intelligent device, and predicting an influence condition of the first pre-use condition on the target person according to the first pre-use condition, the current activity parameter and the current physiological parameter of the target person;

judging whether the influence condition is a negative influence condition or not; and when the judgment result is negative, triggering and executing the operation of generating the first pre-starting parameter of the intelligent equipment.

As an optional implementation manner, in the first aspect of the present invention, before the performing, according to the first pre-start-up parameter, a pre-start-up operation on the smart device, the method further includes:

judging whether second pre-starting parameters of the intelligent equipment exist in a pre-generated pre-starting parameter queue or not; when judging that the second pre-starting parameter does not exist in the pre-starting parameter generation queue, triggering and executing the step of executing pre-starting operation on the intelligent equipment according to the first pre-starting parameter;

when the second pre-starting parameter exists in the pre-starting parameter generation queue, judging whether a conflict situation exists according to the first pre-starting parameter and the second pre-starting parameter; and when judging that the conflict situation does not exist, triggering and executing the step of executing the pre-starting operation on the intelligent equipment according to the first pre-starting parameter.

As an alternative embodiment, in the first aspect of the present invention, the method further includes:

when the conflict situation is judged to exist, determining a conflict factor corresponding to the conflict situation, and judging whether the first pre-starting parameter and the second pre-starting parameter meet a parameter adjusting condition according to the conflict factor; the conflict factors comprise functional parameter conflict factors and/or time parameter conflict factors;

when the first pre-starting parameter and the second pre-starting parameter are judged to meet the parameter adjusting conditions, performing parameter adjusting operation on the first pre-starting parameter according to the second pre-starting parameter to obtain a third pre-starting parameter, and performing pre-starting operation on the intelligent equipment according to the third pre-starting parameter; the conflict condition does not exist between the third pre-start-up parameter and the second pre-start-up parameter.

In a first aspect of the present invention, the determining whether the first pre-start-up parameter and the second pre-start-up parameter meet a parameter adjustment condition according to the conflict factor includes:

when the conflict factor comprises a function parameter conflict factor, judging whether a first function parameter under the first pre-starting parameter is matched with a second function parameter under the second pre-starting parameter; when the first function parameter is judged to be not matched with the second function parameter, determining that the first pre-starting parameter and the second pre-starting parameter do not meet a parameter adjusting condition;

When the first functional parameter is judged to be matched with the second functional parameter, determining a specific parameter difference value between the first functional parameter and the second functional parameter, and judging whether the specific parameter difference value is greater than or equal to a preset parameter difference value threshold value; when the judgment result is yes, determining that the first pre-starting parameter and the second pre-starting parameter do not meet the parameter adjusting condition; and when the judgment result is negative, determining that the first pre-starting parameter and the second pre-starting parameter meet the parameter adjusting condition.

when the first pre-starting parameter and the second pre-starting parameter do not meet the parameter adjusting condition, determining all first similar devices similar to the intelligent device from all the devices according to the device function parameter of each device in a preset device set and the device function parameter of the intelligent device, and determining a second pre-use condition corresponding to each first similar device;

determining all second similar devices with the second preset use condition meeting preset starting conditions from all the first similar devices, and determining target similar devices matched with the first use requirement information from all the second similar devices according to the device function parameters of each second similar device and the first use requirement information;

Generating a fourth pre-starting parameter of the target similar equipment according to the first use requirement information and the equipment function parameter of the target similar equipment, and executing a pre-starting operation on the target similar equipment according to the fourth pre-starting parameter.

The second aspect of the invention discloses a pre-starting intelligent implementation device of an intelligent device, which comprises:

the detection module is used for detecting whether a target person exists in a preset induction range corresponding to the intelligent equipment;

the acquisition module is used for acquiring the movement parameters of the target personnel when the detection result of the detection module is yes;

the determining module is used for determining the confidence level of the use requirement of the target personnel on the intelligent equipment according to the movement parameters of the target personnel; the movement parameters comprise at least one of a movement rate, a movement direction and a movement track;

the judging module is used for judging whether the use demand confidence coefficient is larger than or equal to a preset use demand confidence coefficient threshold value;

the parameter generation module is used for generating a first pre-starting parameter of the intelligent equipment when the judgment result of the judgment module is yes; the first pre-starting parameter of the intelligent equipment comprises a pre-starting time point and/or a pre-starting function of the intelligent equipment;

And the pre-starting module is used for executing pre-starting operation on the intelligent equipment according to the first pre-starting parameter.

As an optional implementation manner, in the second aspect of the present invention, the determining module is further configured to:

before the confidence of the use requirement of the target person on the intelligent equipment is determined according to the movement parameters of the target person, determining the current target parameters of the target person and the equipment function parameters of the intelligent equipment; the current target parameters of the target person comprise at least one of current activity parameters, current voice parameters, current scene parameters and current physiological parameters of the target person; determining a parameter association degree between the current target parameter and a device function parameter of the intelligent device;

the judging module is further used for judging whether the parameter association degree is greater than or equal to a preset association degree threshold value; and when the judgment result is yes, triggering the determining module to execute the operation of determining the confidence level of the use requirement of the target personnel on the intelligent equipment according to the movement parameters of the target personnel.

As an alternative embodiment, in the second aspect of the present invention, the apparatus further includes:

The prediction module is used for predicting first use requirement information corresponding to the target personnel according to the moving parameters of the target personnel and the current target parameters of the target personnel before the parameter generation module generates the first pre-starting parameters of the intelligent equipment and when the current target parameters of the target personnel comprise the current activity parameters and the current physiological parameters of the target personnel; predicting a first pre-use condition of the intelligent device by the target person according to the first use requirement information and the device function parameter of the intelligent device, and predicting an influence condition of the first pre-use condition on the target person according to the first pre-use condition, the current activity parameter and the current physiological parameter of the target person;

the judging module is further used for judging whether the influence condition is a negative influence condition or not; and when the judgment result is negative, triggering the parameter generation module to execute the operation of generating the first pre-starting parameter of the intelligent equipment.

Before the pre-starting module executes pre-starting operation on the intelligent equipment according to the first pre-starting parameter, judging whether a second pre-starting parameter of the intelligent equipment exists in a pre-generated pre-starting parameter queue; when judging that the second pre-starting parameter does not exist in the pre-starting parameter generation queue, triggering the pre-starting module to execute the step of executing pre-starting operation on the intelligent equipment according to the first pre-starting parameter; when the second pre-starting parameter exists in the pre-starting parameter generation queue, judging whether a conflict situation exists according to the first pre-starting parameter and the second pre-starting parameter; and when judging that the conflict situation does not exist, triggering the pre-starting module to execute the step of executing the pre-starting operation on the intelligent equipment according to the first pre-starting parameter.

when the judgment module judges that the conflict situation exists, determining a conflict factor corresponding to the conflict situation;

the judging module is further configured to judge whether the first pre-starting parameter and the second pre-starting parameter meet a parameter adjustment condition according to the conflict factor; the conflict factors comprise functional parameter conflict factors and/or time parameter conflict factors;

And, the apparatus further comprises:

the parameter adjusting module is used for executing parameter adjusting operation on the first pre-starting parameter according to the second pre-starting parameter when the judging module judges that the first pre-starting parameter and the second pre-starting parameter meet the parameter adjusting condition, so as to obtain a third pre-starting parameter;

the pre-starting module is further configured to perform a pre-starting operation on the intelligent device according to the third pre-starting parameter; the conflict condition does not exist between the third pre-start-up parameter and the second pre-start-up parameter.

In a second aspect of the present invention, the determining module determines, according to the conflict factor, whether the first pre-start-up parameter and the second pre-start-up parameter meet a parameter adjustment condition specifically includes:

when the judging module judges that the first pre-starting parameter and the second pre-starting parameter do not meet the parameter adjusting condition, determining all first similar devices similar to the intelligent device from all the devices according to the device function parameter of each device in a preset device set and the device function parameter of the intelligent device, and determining a second pre-using condition corresponding to each first similar device; determining all second similar devices with the second preset use condition meeting preset starting conditions from all the first similar devices, and determining target similar devices matched with the first use requirement information from all the second similar devices according to the device function parameters of each second similar device and the first use requirement information;

The parameter generating module is further configured to generate a fourth pre-start parameter of the target similar device according to the first usage requirement information and the device function parameter of the target similar device;

and the pre-starting module is further used for executing pre-starting operation on the target similar equipment according to the fourth pre-starting parameter.

The third aspect of the present invention discloses a pre-start-up intelligent implementation apparatus for another intelligent device, the apparatus comprising:

a memory storing executable program code;

a processor coupled to the memory;

the processor calls the executable program codes stored in the memory to execute the pre-starting intelligent implementation method of the intelligent device disclosed in the first aspect of the invention.

A fourth aspect of the present invention discloses a computer storage medium storing computer instructions for executing the pre-boot intelligent implementation method of the intelligent device disclosed in the first aspect of the present invention when the computer instructions are called.

Compared with the prior art, the embodiment of the invention has the following beneficial effects:

in the embodiment of the invention, whether target personnel exist in a preset induction range corresponding to intelligent equipment is detected; if yes, acquiring the moving parameters of the target personnel, and determining the confidence level of the use requirement of the target personnel on the intelligent equipment according to the moving parameters of the target personnel; judging whether the confidence coefficient of the use requirement is larger than or equal to a preset confidence coefficient threshold value of the use requirement; if yes, generating a first pre-starting parameter of the intelligent equipment; and executing the pre-starting operation on the intelligent equipment according to the first pre-starting parameter. Therefore, the implementation of the method and the device can realize the pre-starting automation of the intelligent equipment through the confidence of the user on the use requirement of the intelligent equipment, and does not need to manually control the starting button of the intelligent equipment or rely on the user side to remotely start and control the intelligent equipment, so that the intelligent starting mode of the intelligent equipment is enriched, the starting convenience and the starting efficiency of the intelligent equipment are improved, the equipment use requirement of the user is further met rapidly and accurately, and the use experience of the user on the intelligent equipment and the user viscosity of the intelligent equipment are improved.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

FIG. 1 is a schematic diagram of a scenario of a pre-boot intelligent implementation of an intelligent device disclosed in an embodiment of the present invention;

FIG. 2 is a schematic flow chart of a method for implementing pre-boot intelligence of an intelligent device according to an embodiment of the present invention;

FIG. 3 is a schematic flow chart of another method for implementing pre-boot intelligence of an intelligent device according to an embodiment of the present invention;

fig. 4 is a schematic structural diagram of a pre-starting intelligent implementation device of an intelligent device according to an embodiment of the present invention;

FIG. 5 is a schematic structural diagram of a pre-start-up intelligent implementation device of another intelligent device according to an embodiment of the present invention;

fig. 6 is a schematic structural diagram of a pre-starting intelligent implementation device of another intelligent device according to an embodiment of the present invention.

Detailed Description

In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

The terms first, second and the like in the description and in the claims and in the above-described figures are used for distinguishing between different objects and not necessarily for describing a sequential or chronological order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, apparatus, article, or article that comprises a list of steps or elements is not limited to only those listed but may optionally include other steps or elements not listed or inherent to such process, method, article, or article.

Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the invention. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.

The invention discloses a method and a device for realizing pre-starting intelligence of intelligent equipment, which can enrich the intelligent starting mode of the intelligent equipment, improve the starting convenience and starting efficiency of the intelligent equipment, further rapidly meet the equipment use requirements of users, and further improve the use experience of the users on the intelligent equipment. The following will describe in detail.

Example 1

Referring to fig. 2, fig. 2 is a flow chart of a method for implementing pre-start-up intelligence of an intelligent device according to an embodiment of the present invention. Optionally, the method for implementing pre-starting intelligence of the intelligent device described in fig. 2 may be applied to the start-up operation of the intelligent device in a home scenario, or may be applied to the start-up operation of the intelligent device in a working scenario, where the intelligent device may be an intelligent television, an intelligent air conditioner, an intelligent washing machine, an intelligent refrigerator, a sweeping robot, or the like, and the embodiment of the invention is not limited. Further optionally, the method may be implemented by an intelligent device start control system, where the intelligent device start control system may be integrated into a certain intelligent device, or may exist independently of the intelligent device (e.g. a local server or a cloud server that exists independently of the intelligent device and is used to manage a start control flow of the intelligent device), and the embodiment of the present invention is not limited. As shown in fig. 2, the method for implementing pre-boot intelligence of the intelligent device may include the following operations:

101. detecting whether a target person exists in a preset induction range corresponding to the intelligent equipment; when the detection result of the step 101 is yes, triggering and executing the step 102; when the detection result of step 101 is no, no further steps are performed.

In the embodiment of the invention, optionally, the detected intelligent device can be one or more. Specifically, the preset sensing ranges corresponding to each type of intelligent device may be different, that is, each type of intelligent device has a corresponding preset sensing range, where the preset sensing range may be understood as a preset sensing distance, such as 5 meters, 8 meters, and so on. For example, if the preset sensing distance corresponding to the intelligent television is 5 meters, it can sense the target person within the circle range with the radius of 5 meters, and if the preset sensing distance corresponding to the intelligent air conditioner is 3 meters, it can sense the target person within the circle range with the radius of 3 meters.

102. And acquiring the moving parameters of the target personnel, and determining the confidence level of the use requirement of the target personnel on the intelligent equipment according to the moving parameters of the target personnel.

In an embodiment of the present invention, optionally, the movement parameter may include at least one of a movement rate, a movement direction, and a movement track. Specifically, the confidence of the usage requirement of the target person on the smart device may be expressed in terms of a percentage, such as 25%, 85%, etc., where the confidence of the usage requirement may be understood as the usage probability of the target person on the smart device. For example, according to the movement parameters of the target person, when it is determined that the target person does not walk in the direction of the smart tv, the confidence of the determined use requirement of the target person for the smart tv is low, for example, 25%; when the target person is judged to walk to the intelligent television, the confidence of the determined target person on the intelligent television is higher, for example 80%.

103. Judging whether the confidence coefficient of the use requirement is larger than or equal to a preset confidence coefficient threshold value of the use requirement; when the judgment result of the step 103 is yes, triggering and executing the step 104; when the result of the determination in step 103 is no, no subsequent step is performed.

In the embodiment of the present invention, the preset usage demand confidence threshold may be 80%, 90%, or the like. Specifically, the preset use requirement confidence thresholds corresponding to each type of intelligent device may be different, that is, each type of intelligent device has a corresponding preset use requirement confidence threshold. For example, the preset user demand confidence threshold value corresponding to the smart tv set is 80%, and the preset user demand confidence threshold value corresponding to the smart air conditioner is 90%, and so on.

104. A first pre-boot parameter of the smart device is generated.

In the embodiment of the invention, the first pre-starting parameter of the intelligent device comprises a pre-starting time point and/or a pre-starting function of the intelligent device. Further, as an optional implementation manner, generating the first pre-start-up parameter of the smart device may include: and generating a first pre-starting parameter of the intelligent equipment according to the movement parameter of the target personnel. For example, as shown in fig. 1, when it is determined that a target person exists in a preset range corresponding to the intelligent washing machine and it is determined that the target person walks to the intelligent washing machine, the confidence level of the target person on the use requirement of the intelligent washing machine may be determined to be 90% (the corresponding preset confidence threshold value is 80%), and at this time, spin-drying function parameters of the intelligent washing machine may be automatically generated according to the specific requirement of the target person; when it is determined that the target person exists in the preset range corresponding to the sweeping robot and it is determined that the target person does not walk in the direction of the position of the sweeping robot, it can be determined that the confidence of the use requirement of the target person on the sweeping robot is 20% (the corresponding preset confidence threshold is 85%), that is, the target person does not need to use the sweeping robot, and at this time, the following steps can be omitted for the sweeping robot; meanwhile, the target person is judged not to exist in the preset range corresponding to the intelligent air conditioner, and at the moment, the follow-up steps for the intelligent air conditioner can be omitted.

105. And executing the pre-starting operation on the intelligent equipment according to the first pre-starting parameter.

In the embodiment of the invention, specifically, the first pre-starting parameters generated by each intelligent device according to specific practical conditions are different, that is, the pre-starting operations executed on different intelligent devices are also different, for example, the pre-starting operations are executed on the intelligent television according to the generated pre-starting time point-9 points, or the pre-starting operations are executed on the intelligent washing machine according to the generated pre-starting time point-8 points and the pre-starting function-spin-drying function.

Therefore, the embodiment of the invention can realize the pre-starting automation of the intelligent equipment through the confidence of the user on the use requirement of the intelligent equipment without manually controlling the starting button of the intelligent equipment or relying on the user side to remotely start and control the intelligent equipment, so that the intelligent starting mode of the intelligent equipment is enriched, the starting convenience and the starting efficiency of the intelligent equipment are improved, the equipment use requirement of the user is further met rapidly and accurately, and the use experience of the user on the intelligent equipment and the user viscosity of the intelligent equipment are improved.

In an alternative embodiment, before performing the pre-boot operation on the smart device according to the first pre-boot parameter, the method may further include:

judging whether second pre-starting parameters of the intelligent equipment exist in a pre-generated pre-starting parameter queue or not; triggering the step of executing the pre-starting operation on the intelligent equipment according to the first pre-starting parameter when judging that the second pre-starting parameter does not exist in the pre-starting parameter generation queue;

when judging that the second pre-starting parameter exists in the pre-starting parameter generation queue, judging whether a conflict condition exists according to the first pre-starting parameter and the second pre-starting parameter; and when judging that the conflict situation does not exist, triggering the step of executing the pre-starting operation on the intelligent equipment according to the first pre-starting parameter.

In this optional embodiment, optionally, the second pre-start-up parameter of the smart device may be one or more, where the second pre-start-up parameter is generated based on the confidence of the usage requirement of the smart device by the corresponding person and its generation time is earlier than the generation time of the first pre-start-up parameter. Specifically, the conflict between the first pre-start-up parameter and the second pre-start-up parameter may be understood as whether there is a conflict at the pre-start-up time point of the first pre-start-up parameter and the second pre-start-up parameter or whether there is a conflict at the pre-start-up function of the first pre-start-up parameter and the second pre-start-up parameter. For example, if the second pre-start time point of the intelligent computer in the pre-generated pre-start parameter queue is 8 points (and the pre-use time period is predicted to be 1 hour), and the first pre-start time point of the intelligent computer generated in real time is 9 points, then it may be determined that the two pre-start parameters of the intelligent computer have a conflict condition; if the first pre-starting time point of the intelligent computer generated in real time is 12 points, it can be determined that two pre-starting parameters of the intelligent computer have no conflict.

Therefore, the optional embodiment can intelligently judge whether the intelligent equipment has conflict situations of the pre-starting parameters, and embody that the intelligent equipment starting control system is intelligent to the starting control mode of the intelligent equipment, so that the intelligent equipment starting control system is beneficial to realizing accurate starting control of the intelligent equipment, further the intelligent equipment starting process is beneficial to being smoothly controlled, and the intelligent equipment starting control system is beneficial to accurately meeting the use requirements of users on the intelligent equipment.

In another alternative embodiment, the method may further comprise:

when the conflict situation is judged to exist, a conflict factor corresponding to the conflict situation is determined, and whether the first pre-starting parameter and the second pre-starting parameter meet parameter adjustment conditions is judged according to the conflict factor;

when the first pre-starting parameter and the second pre-starting parameter are judged to meet the parameter adjusting conditions, parameter adjusting operation is carried out on the first pre-starting parameter according to the second pre-starting parameter, a third pre-starting parameter is obtained, and pre-starting operation is carried out on the intelligent equipment according to the third pre-starting parameter.

In this alternative embodiment, wherein the conflict factor comprises a functional parameter conflict factor and/or a temporal parameter conflict factor. Specifically, judging whether the first pre-starting parameter and the second pre-starting parameter meet the parameter adjustment condition can be understood as that after the first pre-starting parameter is adjusted, if the conflict condition can not exist between the adjusted first pre-starting parameter and the adjusted second pre-starting parameter, that is, the conflict condition does not exist between the third pre-starting parameter and the second pre-starting parameter, the first pre-starting parameter and the second pre-starting parameter meet the parameter adjustment condition; if the conflict situation still exists, the first pre-starting parameter and the second pre-starting parameter do not meet the parameter adjusting condition.

Therefore, the optional embodiment can eliminate the conflict situation between the pre-starting parameters by adjusting the pre-starting parameters, so that the compatibility between the pre-starting parameters and the starting control flexibility of the intelligent equipment can be improved, the equipment use requirements of a plurality of users can be met as much as possible, and the use experience of the plurality of users on the intelligent equipment is ensured.

In yet another optional embodiment, the determining whether the first pre-start-up parameter and the second pre-start-up parameter meet the parameter adjustment condition according to the conflict factor in the step includes:

when the conflict factor comprises a function parameter conflict factor, judging whether a first function parameter under a first pre-starting parameter is matched with a second function parameter under a second pre-starting parameter; when the first function parameter is not matched with the second function parameter, determining that the first pre-starting parameter and the second pre-starting parameter do not meet the parameter adjusting condition;

when the first functional parameter is judged to be matched with the second functional parameter, determining a specific parameter difference value between the first functional parameter and the second functional parameter, and judging whether the specific parameter difference value is greater than or equal to a preset parameter difference value threshold value; when the judgment result is yes, determining that the first pre-starting parameter and the second pre-starting parameter do not meet the parameter adjustment condition; and when the judgment result is negative, determining that the first pre-starting parameter and the second pre-starting parameter meet the parameter adjustment condition.

In this alternative embodiment, for example, after determining that a conflict factor corresponding to a conflict situation between a first pre-start parameter and a second pre-start parameter of the intelligent air conditioner is a functional parameter conflict factor, if the first functional parameter under the first pre-start parameter is a refrigeration function and the second functional parameter under the second pre-start parameter is a heating function, at this time, it may be determined that the first functional parameter and the second functional parameter are not matched, and the two parameters do not meet a parameter adjustment condition; if the first function parameter and the second function parameter are the same as the refrigeration function, that is, the first function parameter and the second function parameter are matched, and the specific parameter difference between them is 6 ℃ (the preset parameter difference is 4 ℃), it can be determined that the two parameters do not meet the parameter adjustment condition, and if the specific parameter difference between them is 3 ℃), it can be determined that the two parameters meet the parameter adjustment condition, and the first pre-start parameter is adjusted (for example, the average value of the sum of the two parameters is adjusted).

Therefore, the optional embodiment can determine whether the conflict situation among the plurality of pre-starting parameters can be eliminated through the conflict factor, so that the follow-up targeted and effective adjustment of the pre-starting parameters is facilitated, the conflict situation is eliminated, the use requirements of a plurality of users on the intelligent device are reasonably met, and the user viscosity of the intelligent device is improved.

In yet another alternative embodiment, the method may further comprise:

when the first pre-starting parameter and the second pre-starting parameter do not meet the parameter adjustment condition, determining all first similar devices similar to the intelligent device from all devices according to the device function parameter of each device in the preset device set and the device function parameter of the intelligent device, and determining a second pre-use condition corresponding to each first similar device;

determining all second similar devices with second preset use conditions meeting preset starting conditions from all first similar devices, and determining target similar devices matched with the first use requirement information from all second similar devices according to the device function parameters of each second similar device and the first use requirement information;

and generating a fourth pre-starting parameter of the target similar equipment according to the first use requirement information and the equipment function parameters of the target similar equipment, and executing the pre-starting operation on the target similar equipment according to the fourth pre-starting parameter.

In this optional embodiment, specifically, each first similar device may be understood as a device whose device function parameter is similar to that of the intelligent device, for example, the intelligent air conditioner has a refrigeration function, and the intelligent fan also has a refrigeration function, where the intelligent fan may be determined to be a device similar to the intelligent air conditioner; and determining the second pre-use condition corresponding to each first similar device can be understood as whether a corresponding person uses the first similar device and whether the pre-use process of the first similar device by a target person is affected in a future time period. For example, when the intelligent fan is determined to be a first similar device similar to the intelligent air conditioner, if the intelligent fan is in a state of being used by a corresponding person and it is determined that the target person needs to be cooled down immediately, it may be determined that the corresponding second preset use condition of the intelligent fan does not satisfy the preset starting condition; if the intelligent fan is in the unmanned use state, the corresponding second pre-use condition of the intelligent fan can be judged to meet the preset starting condition, and then the subsequent step of matching judgment with the first use requirement information is carried out.

Therefore, the optional embodiment can perform pre-starting control on the target similar equipment similar to the intelligent equipment, so that the intelligent starting control mode of the intelligent equipment starting control system on the intelligent equipment is further enriched, the equipment utilization rate of the target similar equipment can be improved, the equipment utilization requirements of a plurality of users can be rapidly and flexibly met, and the equipment use experience of the plurality of users can be guaranteed.

Example two

Referring to fig. 3, fig. 3 is a flow chart of a method for implementing pre-start-up intelligence of an intelligent device according to an embodiment of the present invention. Optionally, the method for implementing pre-starting intelligence of the intelligent device described in fig. 3 may be applied to the start-up operation of the intelligent device in a home scenario, or may be applied to the start-up operation of the intelligent device in a working scenario, where the intelligent device may be an intelligent television, an intelligent air conditioner, an intelligent washing machine, an intelligent refrigerator, a sweeping robot, or the like, and the embodiment of the invention is not limited. Further optionally, the method may be implemented by an intelligent device start control system, where the intelligent device start control system may be integrated into a certain intelligent device, or may exist independently of the intelligent device (e.g. a local server or a cloud server that exists independently of the intelligent device and is used to manage a start control flow of the intelligent device), and the embodiment of the present invention is not limited. As shown in fig. 3, the method for implementing pre-boot intelligence of the intelligent device may include the following operations:

201. Detecting whether a target person exists in a preset induction range corresponding to the intelligent equipment; when the detection result of step 201 is yes, triggering to execute step 202; when the result of the detection in step 201 is no, no further steps are performed.

202. And acquiring the moving parameters of the target personnel, and determining the current target parameters of the target personnel and the equipment function parameters of the intelligent equipment.

In the embodiment of the present invention, optionally, the current target parameter of the target person may include at least one of a current activity parameter (such as a current limb activity type, a current movement type, etc.), a current voice parameter (such as a current voice specific content, a current word-of-speech type, etc.), a current scene parameter (such as a scene type of a current target scene, etc.), and a current physiological parameter (such as a current health condition, a current heartbeat frequency, etc.).

203. Determining the parameter association degree between the current target parameter and the equipment function parameter of the intelligent equipment, and judging whether the parameter association degree is greater than or equal to a preset association degree threshold value; when the judgment result of the step 203 is yes, triggering and executing the step 204; when the result of the determination in step 203 is no, no further steps are performed.

In the embodiment of the present invention, for example, if the target person is currently fanning himself with his hands to cool, it may be determined that the parameter association degree between the device function parameter of the intelligent air conditioner (due to the refrigeration function) and the current target parameter of the target person is greater than or equal to the preset association degree threshold, and that the parameter association degree between the device function parameter of the intelligent washing machine and the current target parameter of the target person is less than the preset association degree threshold, and then the confidence of the target person on the use requirement of the intelligent air conditioner may be further determined, without determining the confidence of the target person on the use requirement of the intelligent washing machine.

204. And determining the confidence of the use requirement of the target personnel on the intelligent equipment according to the movement parameters of the target personnel.

In the embodiment of the present invention, optionally, determining the confidence level of the use requirement of the target person on the intelligent device according to the movement parameter of the target person may include: and determining the confidence of the use requirement of the target personnel on the intelligent equipment according to at least one of the moving parameters of the target personnel, the current target parameters of the target personnel and the equipment function parameters of the intelligent equipment.

205. Judging whether the confidence coefficient of the use requirement is larger than or equal to a preset confidence coefficient threshold value of the use requirement; when the result of the determination in step 205 is yes, triggering and executing step 206; when the determination result of step 205 is no, no further steps are performed.

206. A first pre-boot parameter of the smart device is generated.

207. And executing the pre-starting operation on the intelligent equipment according to the first pre-starting parameter.

In the embodiment of the present invention, for other descriptions of step 201 and step 205-step 207, please refer to the detailed descriptions of step 101 and step 103-step 105 in the first embodiment, and the detailed descriptions of the embodiments of the present invention are omitted.

Therefore, by implementing the embodiment of the invention, whether the confidence coefficient of the use requirement of the target person for the intelligent equipment can be determined can be judged through the parameter association degree between the current target parameter of the target person and the equipment function parameter of the intelligent equipment, so that the confidence coefficient of the use requirement of the target person for the intelligent equipment can be determined in a basis and pertinently, the reliability and the accuracy of the determined confidence coefficient of the use requirement can be further improved, the starting control accuracy of the intelligent equipment can be improved, and the occurrence of the condition of starting control disorder of the intelligent equipment is reduced.

In an alternative embodiment, before generating the first pre-boot parameters of the smart device in step 206 above, the method may further comprise:

Predicting a first pre-use condition of the intelligent equipment by the target personnel according to the first use requirement information and the equipment function parameters of the intelligent equipment, and predicting the influence condition of the first pre-use condition on the target personnel according to the first pre-use condition, the current activity parameters and the current physiological parameters of the target personnel;

judging whether the influence condition is a negative influence condition or not; and when the judgment result is negative, triggering the executed operation of generating the first pre-starting parameter of the intelligent equipment.

Further, as an alternative embodiment, the method may further include: when the influence condition is judged to be a negative influence condition, judging whether a guardian capable of monitoring the target person aiming at the negative influence condition exists or not; and when the judgment result is yes, triggering and executing the operation of generating the first pre-starting parameters of the intelligent equipment.

In this alternative embodiment, the first usage requirement information may optionally include device function usage requirement information and/or device usage time requirement information. Further optionally, the negative impact condition may include a personal safety impact condition and/or a health condition impact condition. For example, for a robot that sweeps floor, when the first usage requirement information corresponding to the target person is predicted to be the requirement of the sweeping floor function, according to the requirement of the sweeping floor function and the cleaning function parameter of the robot that sweeps floor, the robot that sweeps floor can be predicted to walk back and forth in the living room for cleaning, at this time, since the target person runs and cleans in the living room, the robot that sweeps floor can be predicted to have a larger probability of tripping the target person, therefore, if there is a guardian who can monitor the target person, the operation of executing the first pre-start parameter of the intelligent device can be triggered and executed, and if there is no guardian who can monitor the target person, the generation of the first pre-start parameter of the intelligent device can be interrupted.

Therefore, the optional embodiment can judge whether the first pre-starting parameter of the intelligent device can be generated or not through the predicted pre-use condition of the intelligent device by the target person, so that the reliability and the accuracy of the generated first pre-starting parameter can be improved, the use safety of the intelligent device by the target person is improved, the resource space of a pre-starting parameter queue can be saved, and the follow-up quick starting control of the intelligent device is ensured.

Example III

Referring to fig. 4, fig. 4 is a schematic structural diagram of a pre-starting intelligent implementation device of an intelligent device according to an embodiment of the present invention. As shown in fig. 4, the pre-start-up intelligent implementation apparatus of the intelligent device may include:

the detection module 301 is configured to detect whether a target person exists in a preset sensing range corresponding to the intelligent device;

the acquisition module 302 acquires the movement parameters of the target personnel when the detection result of the detection module is yes;

the determining module 303 is configured to determine a confidence level of a usage requirement of the target person on the intelligent device according to the movement parameter of the target person;

the judging module 304 is configured to judge whether the confidence coefficient of the usage requirement is greater than or equal to a preset confidence coefficient threshold value of the usage requirement;

The parameter generating module 305 is configured to generate a first pre-start parameter of the intelligent device when the judgment result of the judging module is yes;

the pre-start module 306 is configured to perform a pre-start operation on the smart device according to the first pre-start parameter.

In the embodiment of the invention, the movement parameters comprise at least one of movement speed, movement direction and movement track; the first pre-boot parameter of the smart device comprises a pre-boot time point and/or a pre-boot function of the smart device.

It can be seen that implementing the intelligent device's of fig. 4 pre-start intelligent realization device can realize intelligent device's pre-start automation through user to intelligent device's user demand confidence, and need not to manually control intelligent device's start button, also need not to rely on the user side to carry out remote start to intelligent device and control, so, not only richened intelligent starting mode of intelligent device, still promoted intelligent device's start convenience and starting efficiency, and then quick and accurately satisfy user's equipment user demand, thereby promote the user to intelligent device's use experience sense and promote intelligent device's user viscosity.

In an alternative embodiment, the determining module 303 is further configured to:

Before the confidence of the use requirement of the target personnel on the intelligent equipment is determined according to the moving parameters of the target personnel, determining the current target parameters of the target personnel and the equipment function parameters of the intelligent equipment; determining a parameter association degree between a current target parameter and a device function parameter of the intelligent device;

the judging module 304 is further configured to judge whether the parameter association degree is greater than or equal to a preset association degree threshold; and when the judgment result is yes, triggering the operation of determining the confidence of the use requirement of the target personnel on the intelligent equipment according to the movement parameters of the target personnel, wherein the operation is performed by the determination module 303.

In this alternative embodiment, the current target parameters of the target person include at least one of a current activity parameter, a current speech parameter, a current scene parameter, and a current physiological parameter of the target person.

Therefore, the pre-starting intelligent implementation device for the intelligent device described in fig. 5 can judge whether the confidence level of the use requirement of the target person for the intelligent device can be determined through the parameter association degree between the current target parameter of the target person and the device function parameter of the intelligent device, so that the confidence level of the use requirement of the target person for the intelligent device can be determined in a depended and targeted manner, the reliability and the accuracy of the determined confidence level of the use requirement can be improved, the starting control accuracy for the intelligent device can be improved, and the occurrence of the starting control disorder for the intelligent device is reduced.

In another alternative embodiment, the apparatus may further include:

the predicting module 307 is configured to predict, before the parameter generating module 305 generates the first pre-start parameter of the intelligent device and when the current target parameter of the target person includes the current activity parameter and the current physiological parameter of the target person, first usage requirement information corresponding to the target person according to the movement parameter of the target person and the current target parameter of the target person; predicting a first pre-use condition of the intelligent equipment by the target personnel according to the first use requirement information and the equipment function parameters of the intelligent equipment, and predicting the influence condition of the first pre-use condition on the target personnel according to the first pre-use condition, the current activity parameters and the current physiological parameters of the target personnel;

the judging module 304 is further configured to judge whether the impact situation is a negative impact situation; and when the judgment result is negative, triggering the operation of generating the first pre-starting parameter of the intelligent device, which is executed by the parameter generation module 305.

In this alternative embodiment, the number of the elements in the system,

therefore, the pre-starting intelligent implementation device for the intelligent device described in fig. 5 can judge whether the first pre-starting parameter of the intelligent device can be generated according to the predicted pre-using condition of the intelligent device by the target person, so that the reliability and the accuracy of the generated first pre-starting parameter can be improved, the use safety of the intelligent device by the target person is improved, the resource space of a pre-starting parameter queue can be saved, and the subsequent rapid starting control of the intelligent device is ensured.

In yet another alternative embodiment, the determining module 304 is further configured to:

before the pre-starting module 306 executes the pre-starting operation on the intelligent device according to the first pre-starting parameter, judging whether a second pre-starting parameter of the intelligent device exists in a pre-generated pre-starting parameter queue; when judging that the second pre-starting parameter does not exist in the pre-starting parameter generation queue, triggering the pre-starting module 306 to execute the pre-starting operation on the intelligent equipment according to the first pre-starting parameter; when judging that the second pre-starting parameter exists in the pre-starting parameter generation queue, judging whether a conflict condition exists according to the first pre-starting parameter and the second pre-starting parameter; and when judging that the conflict situation does not exist, triggering the pre-starting module 306 to execute the pre-starting operation on the intelligent equipment according to the first pre-starting parameter.

Therefore, the implementation of the pre-starting intelligent implementation device of the intelligent device described in fig. 5 can intelligently judge whether the intelligent device has the conflict condition of the pre-starting parameters, and embody that the starting control mode of the intelligent device starting control system to the intelligent device is intelligent, so that the implementation of accurate starting control to the intelligent device is facilitated, and further the smooth control of the starting process of the intelligent device is facilitated, thereby being beneficial to accurately meeting the use requirement of a user to the intelligent device.

In yet another alternative embodiment, the determining module 303 is further configured to:

when the judgment module 304 judges that the conflict situation exists, a conflict factor corresponding to the conflict situation is determined;

the judging module 304 is further configured to judge whether the first pre-starting parameter and the second pre-starting parameter meet a parameter adjustment condition according to the conflict factor;

and, the apparatus may further include:

the parameter adjustment module 308 is configured to perform a parameter adjustment operation on the first pre-start parameter according to the second pre-start parameter when the judgment module 304 judges that the first pre-start parameter and the second pre-start parameter meet the parameter adjustment condition, so as to obtain a third pre-start parameter;

the pre-start module 306 is further configured to perform a pre-start operation on the smart device according to the third pre-start parameter.

In this alternative embodiment, the conflict factors include a functional parameter conflict factor and/or a temporal parameter conflict factor; there is no conflict between the third pre-start-up parameter and the second pre-start-up parameter.

Therefore, the pre-starting intelligent implementation device for implementing the intelligent device described in fig. 5 can eliminate the conflict situation between the pre-starting parameters by adjusting the pre-starting parameters, so that the compatibility between the pre-starting parameters and the starting control flexibility of the intelligent device can be improved, the device use requirements of a plurality of users can be met as much as possible, and the use experience of the plurality of users on the intelligent device is ensured.

In yet another alternative embodiment, the determining module 304 determines whether the first pre-starting parameter and the second pre-starting parameter meet the parameter adjustment condition according to the conflict factor specifically includes:

Therefore, the pre-starting intelligent implementation device for implementing the intelligent device described in fig. 5 can determine whether the conflict situation between the plurality of pre-starting parameters can be eliminated through the conflict factor, so that the follow-up targeted and effective adjustment of the pre-starting parameters is facilitated, the conflict situation is eliminated, the use requirements of a plurality of users on the intelligent device are reasonably met, and the user viscosity of the intelligent device is improved.

when the judging module 304 judges that the first pre-starting parameter and the second pre-starting parameter do not meet the parameter adjusting condition, according to the device function parameter of each device in the preset device set and the device function parameter of the intelligent device, all first similar devices similar to the intelligent device are determined from all the devices, and the second pre-use condition corresponding to each first similar device is determined; determining all second similar devices with second preset use conditions meeting preset starting conditions from all first similar devices, and determining target similar devices matched with the first use requirement information from all second similar devices according to the device function parameters of each second similar device and the first use requirement information;

the parameter generating module 305 is further configured to generate a fourth pre-start parameter of the target similar device according to the first usage requirement information and the device function parameter of the target similar device;

the pre-start module 306 is further configured to perform a pre-start operation on the target similar device according to the fourth pre-start parameter.

Therefore, the pre-starting intelligent implementation device for the intelligent equipment described in fig. 5 can perform pre-starting control on the target similar equipment similar to the intelligent equipment, so that the intelligent starting control mode of the intelligent equipment starting control system on the intelligent equipment is further enriched, the equipment utilization rate of the target similar equipment can be improved, the equipment use requirements of a plurality of users can be rapidly and flexibly met, and the equipment use experience of the plurality of users can be guaranteed.

Example IV

Referring to fig. 6, fig. 6 is a schematic structural diagram of a pre-start-up intelligent implementation device of another intelligent device according to an embodiment of the present invention. As shown in fig. 6, the pre-start-up intelligent implementation apparatus of the intelligent device may include:

a memory 401 storing executable program codes;

a processor 402 coupled with the memory 401;

the processor 402 invokes executable program codes stored in the memory 401 to execute steps in the pre-boot intelligent implementation method of the intelligent device described in the first or second embodiment of the present invention.

Example five

The embodiment of the invention discloses a computer storage medium which stores computer instructions for executing the steps in the pre-start intelligent implementation method of the intelligent device described in the first or second embodiment of the invention when the computer instructions are called.

Example six

An embodiment of the present invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to perform the steps in the pre-boot intelligent implementation method of the intelligent device described in the first or second embodiment.

The apparatus embodiments described above are merely illustrative, wherein the modules illustrated as separate components may or may not be physically separate, and the components shown as modules may or may not be physical, i.e., may be located in one place, or may be distributed over a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.

From the above detailed description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course by means of hardware. Based on such understanding, the foregoing technical solutions may be embodied essentially or in part in the form of a software product that may be stored in a computer-readable storage medium including Read-Only Memory (ROM), random-access Memory (Random Access Memory, RAM), programmable Read-Only Memory (Programmable Read-Only Memory, PROM), erasable programmable Read-Only Memory (Erasable Programmable Read Only Memory, EPROM), one-time programmable Read-Only Memory (OTPROM), electrically erasable programmable Read-Only Memory (EEPROM), compact disc Read-Only Memory (Compact Disc Read-Only Memory, CD-ROM) or other optical disc Memory, magnetic disc Memory, tape Memory, or any other medium that can be used for computer-readable carrying or storing data.

Finally, it should be noted that: the embodiment of the invention discloses a method and a device for realizing pre-starting intelligent of intelligent equipment, which are disclosed by the embodiment of the invention and are only used for illustrating the technical scheme of the invention, but not limiting the technical scheme; although the invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art will understand that; the technical scheme recorded in the various embodiments can be modified or part of technical features in the technical scheme can be replaced equivalently; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.

Claims

1. A method for implementing pre-boot intelligence of an intelligent device, the method comprising:

2. The method for implementing pre-boot intelligence of a smart device according to claim 1, wherein before determining a confidence level of a usage requirement of the smart device by the target person according to a movement parameter of the target person, the method further comprises:

3. The method of claim 2, wherein prior to said generating the first pre-boot parameters of the smart device, the method further comprises:

4. A method for implementing pre-boot intelligence of a smart device according to any one of claims 1-3, wherein prior to said performing a pre-boot operation on the smart device according to the first pre-boot parameter, the method further comprises:

5. The method for implementing pre-boot intelligence of an intelligent device according to claim 4, further comprising:

6. The method for implementing pre-boot intelligence of an intelligent device according to claim 5, wherein the determining whether the first pre-boot parameter and the second pre-boot parameter satisfy a parameter adjustment condition according to the conflict factor comprises:

7. The method for implementing pre-boot intelligence of an intelligent device according to claim 5 or 6, further comprising:

8. A pre-boot intelligent implementation device for an intelligent device, the device comprising:

9. A pre-boot intelligent implementation device for an intelligent device, the device comprising:

A memory storing executable program code;

a processor coupled to the memory;

the processor invokes the executable program code stored in the memory to perform the pre-boot smart implementation method of the smart device of any of claims 1-7.

10. A computer storage medium storing computer instructions which, when invoked, are adapted to perform the pre-boot intelligent implementation method of the intelligent device of any of claims 1-7.