CN114875632A - Intelligent drying and washing control method and device - Google Patents

Abstract

The embodiment of the specification provides an intelligent drying and washing control method and device, and the method comprises the following steps: receiving a washing mode of the intelligent washing machine; acquiring weather information within 24 hours in the future; judging whether the washing mode is matched with the weather information; if not, determining the optimal interactive equipment group corresponding to the position of the user in the full space; selecting one intelligent household appliance from the optimal interaction equipment group as inquiry equipment; controlling the inquiring equipment to inquire whether the user modifies the washing mode or not in a voice broadcasting mode; determining whether to modify the washing pattern according to a query result picked up by the query device; and controlling the intelligent washing machine to start according to the final washing mode. The invention makes the washing process more intelligent.

Description

Intelligent drying and washing control method and device

Technical Field

One or more embodiments of the present disclosure relate to the technical field of voice devices, and in particular, to an intelligent drying and washing control method and apparatus.

Background

At present, before a user washes clothes by using a washing machine, the user generally sets a washing mode manually according to weather, the weather needs to be checked, manual operation is also needed, and the intelligent degree is low. At present, the intelligent requirements of people on household appliances are higher and higher due to the prevalence of smart home.

Disclosure of Invention

One or more embodiments of the present specification describe a smart rinse control method and apparatus.

In a first aspect, the present specification provides an intelligent drying and washing control method, wherein voice devices are distributed in a whole space of a home, the voice devices include intelligent household appliances, voice modules in the intelligent household appliances have voice pickup and voice feedback functions, and each voice device is in communication connection with a cloud platform for controlling the voice devices in the whole space; the intelligent household appliance comprises an intelligent washing machine;

the method is performed by a cloud platform, the method comprising:

receiving a washing mode of the intelligent washing machine; wherein the washing mode is to start a drying function or not to start the drying function;

acquiring weather information within 24 hours in the future;

judging whether the washing mode is matched with the weather information;

if not, determining the optimal interactive equipment group corresponding to the position of the user in the full space; selecting one intelligent household appliance from the optimal interaction equipment group as inquiry equipment; controlling the inquiring equipment to inquire whether the user modifies the washing mode or not in a voice broadcasting mode; determining whether to modify the washing pattern according to a query result picked up by the query device; controlling the intelligent washing machine to start according to the final washing mode; wherein the optimal interactive device group is a group formed by at least two voice devices, which is determined in advance according to the position and orientation in the full space when a user issues a voice instruction.

In a second aspect, the present specification provides an intelligent drying and washing control device, where voice devices are distributed in a whole space of a home, the voice devices include intelligent home appliances, voice modules in the intelligent home appliances have voice pickup and voice feedback functions, and each voice device is in communication connection with a cloud platform for controlling the voice devices in the whole space; the intelligent household appliance comprises an intelligent washing machine;

the apparatus is located on a cloud platform, the apparatus comprising:

the first receiving module is used for receiving the washing mode of the intelligent washing machine; wherein the washing mode is to start a drying function or not to start the drying function;

the first acquisition module is used for acquiring weather information within 24 hours in the future;

the first judgment module is used for judging whether the washing mode is matched with the weather information or not;

the first query module is used for determining the optimal interaction equipment group corresponding to the position of the user in the full space if the position of the user in the full space is not matched with the position of the user in the full space; selecting one intelligent household appliance from the optimal interaction equipment group as inquiry equipment; controlling the inquiring equipment to inquire whether the user modifies the washing mode or not in a voice broadcasting mode; determining whether to modify the washing pattern according to a query result picked up by the query device; controlling the intelligent washing machine to start according to the final washing mode; wherein the optimal interactive device group is a group formed by at least two voice devices, which is determined in advance according to the position and orientation in the full space when a user issues a voice instruction.

The intelligent drying and washing control method and device provided by the embodiment of the specification have the following beneficial effects:

(1) in the embodiment of the invention, the cloud platform judges whether the washing mode is matched with the weather information or not, determines the optimal interactive device group corresponding to the position of the user in the whole space when the washing mode is not matched with the weather information, selects one intelligent household appliance from the optimal interactive device group as an inquiry device, controls the inquiry device to inquire whether the user modifies the washing mode or not in a voice broadcast mode, determines whether the washing mode is modified or not according to an inquiry result picked up by the inquiry device, and controls the intelligent washing machine to start to work according to the final washing mode. Therefore, the invention makes the washing machine work according to the most suitable washing mode as much as possible, and simultaneously inquires the opinion of the user, namely simultaneously considers the self idea of the user.

(2) Because the inquiry equipment is selected from the optimal interaction equipment group corresponding to the current position of the user when the inquiry equipment is determined, the inquiry voice of the inquiry equipment can be received when the weather information is not matched with the set washing mode no matter at any position of the user at home, the user can directly reply by voice without going to the position of the washing machine to modify the washing mode or looking up the weather by himself, and the method is very convenient and flexible, so that the whole process is more intelligent.

(3) When the inquiry equipment is determined, the inquiry equipment is selected from the optimal interaction equipment group corresponding to the current position of the user, and the optimal interaction equipment group is the grouping obtained by dividing each voice equipment according to the position and the orientation of the user, so each voice equipment in the optimal interaction equipment group is positioned near the user, and the inquiry equipment selected from the optimal interaction equipment group is also positioned near the user, so that the user can very clearly hear the inquiry content sent by the inquiry equipment, and the accuracy of the drying and washing control can be improved.

Drawings

In order to more clearly illustrate the embodiments of the present specification 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 that the drawings in the following description are some embodiments of the present specification, and other drawings can be obtained by those skilled in the art without creative efforts.

FIG. 1 is a schematic flow chart of a smart rinse control method in one embodiment of the present disclosure;

fig. 2 is a schematic diagram illustrating the distribution of intelligent appliances within a home in one embodiment of the present disclosure;

FIG. 3a is a schematic diagram of a voice terminal in one embodiment of the present description;

FIG. 3b is a schematic diagram illustrating the distribution of voice terminals in a home in one embodiment of the present disclosure;

fig. 4 is a block diagram of the intelligent drying and washing control device in one embodiment of the present disclosure.

Detailed Description

The scheme provided by the specification is described in the following with reference to the attached drawings.

In a first aspect, the invention provides an intelligent drying and washing control method.

The applicable scenarios of the scheme provided by the embodiment of the present invention may include, but are not limited to, the following scenarios:

a plurality of voice devices including various intelligent home appliances are distributed in a home, and for example, referring to fig. 2, a washing machine, a refrigerator, two hanging air conditioners, a cabinet air conditioner, and two televisions are installed in the whole space of a home. The intelligent household appliances are provided with voice modules, and the voice modules in the intelligent household appliances can pick up voice instructions sent by users and send the voice instructions to the cloud platform. The voice module can also perform voice feedback under the control of the cloud platform, namely, inform the user of the execution condition of some equipment in a voice broadcast mode. Any one of the intelligent appliances may be referred to as an interactive device hereinafter.

However, since intelligent home appliances are not installed in balconies, home-entry areas, toilets, and the like, the voice pickup function in these areas may be poor, and thus voice terminals may be installed in these areas. Referring to fig. 3a and 3b, voice terminals are arranged in the home area, the balcony, the restaurant, the study, the secondary toilet, the main toilet, the bedside of the main bed, the bedside of the child room, and the like. The voice terminal can pick up voice sent by a user and can also access the home local area network through WIFI. Because voice terminal's volume is very little, inconvenient installation public address module, therefore voice terminal does not have voice broadcast's function.

It can be understood that, because it is difficult for the optimal sound pickup range of each intelligent household appliance to cover all corners in a home, sometimes a situation that the voice command of the user cannot be responded to occurs, and therefore, the voice terminal is arranged in an area which cannot be covered by the intelligent household appliance in the home according to the embodiment of the present invention. Therefore, the optimal sound pickup range of each intelligent household appliance and each voice terminal can cover the whole space in a family.

Of course, the voice terminal can also have the function of light prompt. For example, when a voice terminal is awakened, the prompt can be made by breathing a lamp, and certainly, different states can be prompted by flashing lamps with different colors for three times.

All voice devices (including all voice terminals and intelligent household appliances) in one family are in communication connection with the cloud platform, and therefore the cloud platform can control all the voice devices in the family. Of course, an application program may be installed on the mobile terminal of the user, and the application program may also be used to control and configure each voice terminal in the home.

In summary, in one scenario, voice devices are distributed in a full space of a home, where the voice devices include intelligent home appliances and voice terminals, and a union of optimal pickup ranges of the intelligent home appliances and the voice terminals can cover the full space; the voice module in the intelligent household appliance has the functions of voice pickup and voice feedback, and the voice module of the voice terminal has the function of voice pickup; each voice device is in communication connection with a cloud platform used for controlling the voice devices in the whole space; the intelligent household appliance comprises an intelligent washing machine.

Based on the above scene, through the mutual cooperation among a plurality of equipment, can realize that intelligence is washed and is dried by fire.

The method provided by the embodiment of the invention can be executed by a cloud platform, and besides the scenes, the method is also suitable for the scene that only intelligent household appliances exist in one family, and the voice module of the intelligent household appliance has a voice pickup function and a voice feedback function.

It can be understood that if some optional embodiments of the present invention involve a voice terminal, the applicable scenarios of such specific embodiments are: voice equipment is distributed in the whole space of a family, the voice equipment comprises intelligent household appliances and voice terminals, and the union of the optimal pickup ranges of the intelligent household appliances and the voice terminals can cover the whole space; the voice module in the intelligent household appliance has the functions of voice pickup and voice feedback, and the voice module of the voice terminal has the function of voice pickup; and the voice equipment is in communication connection with a cloud platform used for controlling the voice equipment in the whole space. For example, at least two intelligent home appliances and at least two voice terminals are contained in one home.

It is understood that, if some optional embodiments of the present invention do not relate to a voice terminal, the scenario applicable to such an embodiment may be the scenario described in the above paragraph, and may of course also be the scenario: in a scene that only intelligent household appliances are contained in a household, a voice module in the intelligent household appliances has voice pickup and voice feedback functions.

The embodiment of the invention provides an intelligent drying and washing control method, which can comprise the following steps S100-S400, with reference to FIG. 1:

s100, receiving a washing mode of the intelligent washing machine; wherein the washing mode is to start a drying function or not to start the drying function;

when the intelligent washing machine is specifically implemented, a user can directly set a specific washing mode on the intelligent washing machine, and after the user finishes setting, the intelligent washing machine can send the washing mode set by the user to the cloud platform, so that the cloud platform can receive the washing mode sent by the intelligent washing machine.

Certainly, for more intelligence, for example, when the user is in the bedroom, the user says "long rainbow and small white", that is, initiates a wake-up request, the television in the bedroom is determined as the answering voice device, the television responds "on", at this time, the user says "start washing, start the drying function", the television in the bedroom picks up the voice, sends the voice to the cloud platform, and the cloud platform analyzes the voice to know the washing mode of the washing machine. If the user does not indicate a washing pattern in the voice, the responding voice device may further query to determine the washing pattern. Therefore, in this way, the washing mode is sent to the cloud platform by the answering voice device.

For the second manner, S100 may specifically include:

s110, aiming at each awakening request, determining corresponding response voice equipment according to the position of a user; the response voice equipment is one voice equipment in the full space and is used for picking up a voice instruction sent by a user after sending a wake-up request and sending the voice instruction to the cloud platform;

and S120, receiving the washing mode sent by the response voice equipment.

Two methods for acquiring the washing mode are provided, aiming at the second method, a user can set the washing mode without manually setting the washing mode by himself, the washing mode can be set in a voice mode, the washing mode can be set at any position in a family, and the method is more intelligent, convenient and flexible compared with the first method.

If the second approach is used, a responding voice device needs to be determined, and the process of determining the responding voice device will be described in detail below.

S200, acquiring weather information within 24 hours in the future;

for example, whether the weather is sunny or rainy in the next 24 hours. The weather information here refers to weather information indicating whether or not clothes are suitable for drying, for example, sunny weather is suitable for drying, and rainy weather is not suitable for drying.

S300, judging whether the washing mode is matched with the weather information;

in a specific implementation, S300 may specifically include at least one of the following:

(1) if the washing mode is to start the drying function and the weather information is clear and suitable for airing, the washing mode is not matched with the weather information;

(2) and if the washing mode is not started with the drying function and the weather information is rainy weather which is not suitable for airing, the washing mode is not matched with the weather information.

That is, if the weather information is clear, the drying function is suitable for airing, but the drying function is turned on in the washing mode, which indicates that the weather information and the drying function are not matched. If the weather information is clear, the drying device is suitable for airing, and the drying function is not started in the washing mode, so that the weather information and the drying function are matched. If the weather is rainy and rainy days and the washing mode is not to start the drying function, the two are not matched at the moment. And if the weather is rainy and rainy days and the washing mode is to start the drying function, the two are matched at the moment.

S400, if the data are not matched, determining an optimal interaction equipment group corresponding to the position of the user in the whole space; selecting one intelligent household appliance from the optimal interaction equipment group as inquiry equipment; controlling the inquiring equipment to inquire whether the user modifies the washing mode or not in a voice broadcasting mode; determining whether to modify the washing pattern according to a query result picked up by the query device; controlling the intelligent washing machine to start according to the final washing mode; wherein the optimal interactive device group is a group formed by at least two voice devices, which is determined in advance according to the position and orientation in the full space when a user issues a voice instruction.

It will be appreciated that if the weather information and wash mode do not match, it is preferable to modify the wash mode at this time, although consideration of the user's mind is required to make the modification. Therefore, in the embodiment of the present invention, a corresponding optimal interaction device group is determined according to the current location of the user, one intelligent home appliance is selected from the optimal interaction device group as an inquiry device, and then the inquiry device is controlled to inquire whether the user needs to modify the washing mode. If the user response can be modified, the washing pattern is modified such that the weather information and the modified washing pattern are matched. And if the user responses without modification, no modification of the washing pattern is required. In this way, the final washing mode is determined, and the cloud platform controls the intelligent washing machine to perform washing work according to the final washing mode.

Wherein the optimal interactive device group is a group pre-divided according to the position and orientation of the user, and at least two voice devices are provided in one optimal interactive device group. In S400, if two or more optimal sets of interaction devices can be determined according to the location of the user, a most appropriate set of interaction devices can be further determined according to the orientation of the user.

The function of the inquiry device is to send out voice to inquire the user and to pick up the inquiry result of the user, i.e. to respond to the voice, so the inquiry device needs to have a pick-up function and a voice broadcast function, and therefore the inquiry device can only be an intelligent household appliance, and the voice terminal cannot perform voice broadcast.

For example, when a user is in a bedroom, the user says 'Changhong and white', namely, a wake-up request is initiated, the television in the bedroom is determined to be a response voice device, the television responds 'on', at the moment, the user says 'start washing and start a drying function', the television in the bedroom picks up the voice, the voice is sent to the cloud platform, and the cloud platform analyzes the voice to know the washing mode of the washing machine. Then the cloud platform acquires that the weather information in the future 24 hours is clear and windy and is very suitable for airing, and the washing mode is the drying function, so that the visible weather information is not matched with the washing mode. Because the user is still in the bedroom at present, the corresponding optimal interaction device group comprises the television, the television is used as inquiry equipment, the television in the bedroom is further controlled to send an inquiry to inquire whether the drying function needs to be cancelled or not, the user responds to cancel the bar, the television in the bedroom picks up an inquiry result of the user and sends the inquiry result to the cloud platform, the cloud platform knows that the user agrees to cancel the drying function, the drying function in the washing mode is cancelled, and the washing machine is further controlled to start to work according to the modified washing mode.

In the above example, the answering speech device and the inquiring device may be the same device, because the user is still in the bedroom at this time, the best interactive device group includes a television, and the television has the function of voice broadcasting and can inquire the user, so the television is adopted as the inquiring device at the same time.

However, if the user walks to another location, such as a toilet, the interrogation device may change. Even if the position of the user is not changed and the user is still in the bedroom, if the response voice device determined before is a voice terminal, the determined inquiry device and the response voice device are not the same device at the moment because the voice terminal does not have the voice broadcasting function.

In a specific implementation, if the washing mode is the drying function, and the weather information is clear weather suitable for airing, the process of controlling the inquiry device by the cloud platform to inquire whether the user modifies the washing mode through voice broadcast may specifically include: and controlling the inquiry equipment to inquire whether the user cancels the drying function or not in a voice broadcast mode.

In specific implementation, if the washing mode is not the drying function, the weather information is rainy weather which is not suitable for airing. At this time, the cloud platform controls the inquiry device to inquire whether the user modifies the washing mode in a voice broadcast mode, which may specifically include: and controlling the inquiry equipment to inquire whether the drying function is added to the user in a voice broadcasting mode.

The embodiment of the invention provides an optimal interaction device, wherein an optimal interaction device group is a virtual space group obtained by dividing voice devices by a cloud platform according to a plurality of awakening requests of a user. The determination of the optimal set of interacting devices is described in detail below:

a1, the cloud platform acquires the position and the orientation of a user sending a preset awakening word in the full space in a historical awakening task;

a2, acquiring the sound intensity of the preset awakening words picked up by each voice device, and selecting a first voice device from each voice device according to the sound intensity; the sound intensity picked up by each first voice device is higher than the sound intensity picked up by other voice devices, and the maximum difference value between the sound intensities picked up by each first voice device is within a preset difference value range;

a3, acquiring the sound pickup angle of each first voice device;

a4, selecting a second voice device with a sound pickup angle falling within an optimal sound pickup angle range from the first voice devices according to the sound pickup angle of each first voice device;

a5, forming each said second speech device into an optimal set of interaction devices for said position and said orientation of the user.

For example, referring to fig. 3b, the user is in the middle of the living room and the dining room and facing the balcony to "rainbow and white", and the 5 voice devices in the household, the living room and the dining room pick up a sound with a strength slightly higher than that of the voice devices in the laundry and the kitchen, and the 5 voice devices in the household, the living room and the dining room pick up a sound with a strength much higher than that of the voice devices in the study room, the bedroom and the bathroom. And screening out the first voice equipment according to the sound intensity picked up by each voice equipment. Since the user stands in the middle of the living room and the restaurant, the sound intensity picked up by 5 voice devices in the home, the living room and the restaurant is almost the same, and the 5 voice devices are the voice devices with the maximum sound intensity among all the voice devices, so the 5 voice devices are taken as the first voice devices.

Further, since the user faces the balcony, 3 voice devices in the living room and the balcony face the sound production direction of the user, and two voice devices in the home and the restaurant face away from the sound production direction of the user, the sound pickup angles of the 3 voice devices in the living room and the balcony are in the optimal sound pickup angle range, and the sound pickup angles of the two voice devices in the home and the restaurant are not in the optimal sound pickup angle range, so that the 3 voice devices in the living room and the balcony are used as second voice devices, and the 3 second voice devices form an optimal interaction device group. Of course, if the user is facing the direction of the restaurant, the restaurant and the two voice devices of the user form an optimal set of interactive devices.

It can be seen that an optimal interaction device group can be corresponded according to the position and orientation of the user, and actually, the user can be corresponded to the optimal interaction device group when the user is at a certain position, for example, when the user is sitting on a couch in a living room to watch television, the corresponding optimal interaction device group is an optimal interaction device group formed by three voice devices in the living room and a balcony.

In practice, when a user is at different positions and orientations in the full space of a home, multiple optimal interaction device groups can be formed for multiple wake-up requests, and stored, and the optimal interaction device groups can be directly used subsequently.

The embodiment of the invention provides an optimal interaction device group. The optimal interactive device group is a virtual space group automatically divided according to past experience. The optimal interaction device group is a device group determined according to the position and orientation of the user, and each voice device in the optimal interaction device group can be located in the same physical space or can be located in a plurality of physical spaces. For example, when the user stands in the middle of the living room and the dining room and sends a wake-up request towards the balcony, the three devices, namely the cabinet air conditioner and the television in the living room and the voice terminal on the balcony, are divided into an optimal interaction device group, and then the target intelligent household appliance can be determined by using the optimal interaction device group. The group of preferred interactive devices is a virtual space group in which there are at least two voice devices, and there is no need to divide them into a group if there is only one voice device.

In specific implementation, the determining, for each wake-up request, a corresponding response voice device according to a location of a user may specifically include:

and S10, receiving notification information sent by the decision device, wherein the notification information is used for notifying the response voice device determined by the decision device to the cloud platform, and the decision device is one intelligent household appliance in the voice devices.

That is, the responding speech device is determined by the decision device, and the decision device informs the cloud platform after determining the responding speech device, so that the cloud platform can know which speech device is used as the responding speech device. The decision-making equipment is one of all intelligent household appliances in a family, only one decision-making equipment is arranged in the whole space of the whole family, and the decision-making equipment is determined in advance.

When each voice device picks up a preset awakening word sent by a user, calculating a corresponding score value, and judging whether the score value is higher than a score value threshold corresponding to the voice device; if yes, generating the election participation request according to the score value of the voice equipment, and sending the election participation request to decision equipment; and the decision equipment selects one voice equipment from the voice equipment sending the election participation request as the response voice equipment according to the score value in each election participation request.

For example, based on fig. 3b, after the user sends a preset wake-up word "long rainbow and small white" in the living room, that is, after the user initiates a wake-up request, 7 voice devices in the household, the living room, the restaurant, the balcony, the kitchen, and the laundry all pick up the preset wake-up word sent by the user, and then the 7 voice devices calculate their respective score values, thereby determining whether their score values are higher than their score value threshold. I.e. each speech device has a corresponding score value threshold. After judgment, the score values of only 5 voice devices in the house, the living room, the dining room and the balcony are higher than the respective score value thresholds, so that only the 5 voice devices send election participation requests to the decision device. After receiving the election participation request sent by the 5 voice devices, the decision device selects one voice device from the 5 voice devices sending the election participation request as a response voice device.

Further, the determination process of the score value threshold of each voice device comprises the following steps:

b1, the cloud platform acquires the historical credit value of each voice device in the full space;

b2, the cloud platform determines rule data of the voice equipment selected as response voice equipment according to the historical score value of each voice equipment, and sets a corresponding score value threshold value for the voice equipment according to the rule data;

b3, the cloud platform sends the score value threshold of each voice device to the voice device;

as can be seen, the score value threshold of each voice device is determined for the cloud platform.

The historical score value of one voice device is the score value of the voice device after the voice device picks up a wake-up word each time in a preset historical time period, the score value is used for representing the probability of a user waking up the voice device, and the rule data of one voice device is the corresponding historical score value interval when the voice device is elected as a response voice device in the preset historical time period.

It will be appreciated that the score value of a speech device may reflect the probability of the user waking up the speech device, i.e. the higher the score value of a speech device, the higher the probability of the user waking up the speech device. The historical score value is a score value calculated each time a speech device picks up a wakeup word in a historical period, for example, a score value is calculated for each wakeup request when a television in a living room picks up 100 wakeup words in the past month, and the total score value is 100. According to the 100 scoring values, the historical scoring value when the voice equipment is selected as the response voice equipment is screened out, and then the historical scoring interval when the voice equipment is selected as the response voice equipment can be determined according to the screened historical scoring value, so that the rule data can be obtained. Then, a corresponding score value threshold is determined according to a history score interval corresponding to a voice device, for example, the history score interval when a voice device is selected as a response voice device is [70, 100], the score value threshold set for the voice device according to the history score interval is 60, that is, the score value of the voice device is only higher than 60 to participate in election, otherwise, no opportunity to participate in election exists. And finally, the cloud platform sends the score value threshold value set for each voice device to the corresponding voice device.

Furthermore, when each voice device picks up a preset awakening word sent by the user, the corresponding score value is calculated, and then the score value is compared with the score value threshold value of the voice device. When the pickup angle of a piece of speech equipment is within a preset range, the speech equipment can calculate the corresponding score value by adopting a first calculation formula, wherein the first calculation formula comprises:

when r is in a first range, P2 ═ a × s + b/| r-90-

When r is in the second range, P2 ═ b ═ s-a | -r-90 | + c

Wherein P2 is the score value; s is the pickup sound intensity; r is the pickup angle; the first range is: r is greater than or equal to 60 and less than 80, or r is greater than 100 and less than or equal to 120; the second range is: r is 80 or more and 100 or less; a and b are preset weights, a is larger than b, c is 10 a + b/10, and the preset range is the union of the first range and the second range.

Wherein, when r is within the first range, the greater the sound pickup intensity, the greater P2; the closer the sound pickup angle is to 90, the larger P2 is, so the sound pickup intensity is high and the wake-up score of the voice apparatus with the sound pickup angle close to 90 is relatively high. Further, when r is within the first range, the weight of the sound intensity of the collected sound is a, and a is greater than b, indicating that the sound intensity of the collected sound is more focused at this time, that is, the sound intensity of the collected sound is more important in this case.

When r is within the second range, the sound pickup intensity is higher, P2 is higher, the sound pickup angle is closer, and P2 is higher, so that the score of the voice device with the sound pickup angle close to 90 is higher. When r is within the second range, the weight of the sound pickup angle is a, and a is greater than b, which indicates that the sound pickup angle is more concerned at this time, that is, in this case, the sound pickup angle follows as important.

Further, in order to ensure that the score when the sound intensity of the picked sound is the same and r is in the second range should be larger than the score when r is in the first range, in the embodiment of the present invention, a parameter c is added to the calculation formula when r is in the second range, and c is 10 × a + b/10, which can ensure that the score when r is in the second range is larger than the score when r is in the first range under the condition that the sound intensity of the picked sound is the same.

Where c 10 a + b/10 is calculated to ensure that b s-a | r-90| and c is equal to or greater than a s + b/| r-90| when r is 100 and the sound intensity is 0. On the basis of the c value, when r is in any value in the second range, the awakening score of the r in the second range can be ensured to be larger than the awakening score of the r in the first range under the condition that the sound intensity of the picked sound is the same.

In practice, when the sound pickup angle is out of the preset range, for example, the sound pickup angle is smaller than 60 or larger than 120, which indicates that the sound pickup angle of the voice device is not the optimal sound pickup angle, but P2 ═ a × s + b/| r-90| may be used to calculate the corresponding score value.

In specific implementation, before receiving the notification information sent by the decision device in S10, the cloud platform may further perform the following processing, that is, the method provided in the embodiment of the present invention may further include the following steps:

c1, determining the corresponding optimal interactive equipment group according to the position of the user in the full space;

c2, determining whether the optimal interaction device group has a corresponding priority response device; the priority response equipment is an intelligent household appliance preset by a user on the application program according to the optimal interaction equipment group;

c3, if the corresponding priority response equipment exists, determining whether the corresponding credit value of the priority response equipment is higher than a preset credit value; if the priority value is higher than the preset score value, the priority response equipment is used as the response voice equipment; if the score value is less than or equal to the preset score value, executing the step of acquiring the response voice equipment from the decision equipment;

c4, if the device does not have the corresponding priority answering device, executing the notification information sent by the receiving decision device.

That is, the user may set a preferred answering machine for each optimal set of interacting devices on the application of the mobile terminal. For each awakening request, the cloud platform determines a corresponding optimal interaction device group according to the position of the user, and then judges whether an optimal response device is set for the optimal interaction device group. If a preferred responder device is set, a score value for the preferred responder device is then calculated and compared to a preset score value. If the score value is higher than the preset score value, the sound intensity picked by the preferred answering equipment is not very low, and the sound picking requirement can be met, and at the moment, the preferred answering equipment is used as answering voice equipment; wherein the preset score value may be lower than the respective score value threshold of the preferred answering machines.

However, if the score value of the preferred answering machine is less than or equal to the preset score value, the sound intensity picked up by the preferred answering machine is low, and the sound picking-up requirement cannot be met. It is therefore desirable to employ responsive speech devices as determined by the decision-making device. Of course, if no corresponding preferred answering machine is set for this optimal group of interacting devices, the answering speech device determined by the decision device needs to be employed.

It will be appreciated that the preferred responder device of an optimal group of interacting devices is an intelligent appliance in the optimal group of interacting devices.

It can be seen that in accordance with the above, a responsive voice device can be determined for each wake-up request.

The decision device mentioned above may be determined by a cloud platform, and the specific process may include:

d1, the cloud platform acquires the charged state data, the computing capacity data, the user use habit data and the like of each voice device;

it can be understood that after the voice device is operated for a period of time, many data are generated, for example, data of usage habits of the user on the voice device, data of the charging state of the voice device, and besides, data of the computing ability of each voice device are obtained.

The data of the usage habits of the voice device by the user includes, for example, the time period of the day during which the user is used to watch television, the season during which the user is used to turn on an air conditioner, and the like. The charging state data of the voice device indicates whether the voice device is charged all the time, whether the voice device is charged at a certain time period in a day, whether the voice device is charged very little, or the like. The arithmetic capability data of the voice device is data capable of representing the arithmetic speed and the arithmetic amount of the voice device, and since the decision device needs to perform decision processing of waking up while realizing its own function, the arithmetic capability of the voice device needs to be considered here.

d2, determining the decision-making ability score of each voice device according to the charged state data, the operational ability data and the user use habit data of each voice device;

it can be understood that, when calculating the decision-making capability score of each voice device, not only the usage habit and the charging state of the user need to be considered, but also the operational capability of the voice device needs to be considered, that is, not only the external factors of the voice device but also the internal factors of the voice device are considered, and finally a score which embodies the comprehensive decision-making capability of the voice device can be calculated.

Specifically, the decision-making capability score of each speech device may be calculated by using a second calculation formula, where the second calculation formula includes:

P1＝u*(d ² -1/y)

wherein P1 is the decision ability score; d is the average daily live time of the voice device in the past month; y is the CPU operation capacity of the voice equipment; u is a mark of the use of the voice equipment by the family user in the current season; if the family user uses the voice equipment in the current season, the corresponding use mark of the voice equipment is 1; if the voice device is not suitable for the home user in the current season, the corresponding use mark of the voice device is 0.

In the second calculation formula, u is usage habit data of the user. If the home user does not use the voice device in the current season, the corresponding use flag of the voice device is 0, and then P1 is 0. And if the home user uses the voice device in the current season, the corresponding use mark of the voice device is 1, and then P1 ═ d ² -1/y. For example, some families do not use the voice equipment of the voice air conditioner in winter, but only use the voice equipment in summer.

Wherein d is the average charging time of the voice device in the past month per day, and the parameter not only considers the use condition of the user in the recent period of time, but also reflects the average charging condition of each day. For example, a user has only turned on a voice television in the evening during the past month, so that the average live time of the voice television in the past month is only a few hours. And the voice refrigerator is always in a charged state, and the average charged time of the voice refrigerator in the past month is 24 hours every day. The parameter d is a key parameter, and the longer the live time of the voice device is, the more time the voice device can perform wake-up decision processing, so that the occurrence of missing wake-up requests can be reduced. The larger d, the larger P1.

Where y represents the operational capability of the speech device, e.g., the cpu. The calculation modes of the operation capabilities of different cpus are different, for example, some cpus measure the operation capabilities through word length, some cpus measure the operation capabilities through double-precision floating-point operation capabilities, and the calculation modes can be specifically determined according to the actual conditions of the cpus. The larger y, the larger P1, but there is no proportional relationship between y and P1.

It can be seen that the second calculation formula can reasonably reflect the decision-making capability of a speech device.

d3, taking the voice device with the highest decision-making ability score as the decision-making device.

In particular, after a decision device is determined in the above manner, the decision device may be used to determine the responding speech device. But if the decision-making equipment is powered down, other voice equipment needs to be replaced as the decision-making equipment. Of course, there may be situations where the previously determined decision device is not powered, and it is also necessary to replace another speech device as the decision device.

Since the above situation may occur in an actual scene, the process of the cloud platform determining the decision device may further include: detecting whether the current decision-making equipment is in a charged state or not according to a preset time interval in a heartbeat instruction mode; and if the voice equipment is not in the charged state, selecting the voice equipment with the highest decision-making capability score from the voice equipment in the charged state as the current decision-making equipment.

That is to say, the cloud platform may detect whether the current decision device is charged according to a time interval, specifically detect in a heartbeat instruction manner, for example, the cloud platform may send a heartbeat instruction to the decision device at a certain interval, if the cloud platform can receive feedback information of the decision device, it indicates that the decision device is charged at this time, and if the cloud platform cannot receive feedback information of the decision device, it indicates that the decision device is not charged at this time.

If the current decision-making equipment is detected to be uncharged and other voice equipment needs to be replaced, the voice equipment with the highest decision-making capability score is selected from all charged voice equipment to serve as the current decision-making equipment, so that influence on awakening processing due to the fact that the decision-making equipment is uncharged can be avoided.

It can be understood that if the weather information is matched with the washing mode, the cloud platform directly controls the intelligent washing machine to work according to the washing mode without modifying and inquiring the washing mode.

In specific implementation, if the weather information is not matched with the washing mode and the user does not want to modify the washing mode, the cloud platform does not need to modify the washing mode, and the intelligent washing machine is directly controlled to work according to the current washing mode.

For example, the weather is clear, and the washing mode set by the user is to start drying, it can be understood that although the weather is suitable for airing, the user wants to put on the clothes to be washed as soon as possible, and at this time, the user still starts the drying function in the weather.

For another example, if the weather is rainy and cloudy, the drying is not suitable, but the drying function is not activated in the washing mode set by the user, the user may not be using the laundry urgently, or the drying function is not activated due to energy saving.

Under the condition that the drying function is not started in the washing mode set by the user in rainy days, due to the fact that drying is needed after washing is finished, an intelligent clothes hanger is arranged on the basis that a plurality of voice devices and cloud platforms are arranged in the whole space, and the intelligent clothes hanger is in communication connection with the cloud platforms. On this basis, through the cooperative work among all equipment, can realize intelligent sunning.

Specifically, after the washing, the intelligent washing machine can inform the cloud platform of the state information of the intelligent washing machine, and the cloud platform can know that the washing of the washing machine is finished, and the following processing can be carried out at the moment:

(1) firstly, determining an optimal interaction device group corresponding to the position of a user in the full space, selecting one intelligent household appliance from the optimal interaction device group as an inquiry device (for the purpose of distinguishing, the inquiry device here may be referred to as a second inquiry device, and the inquiry device in S400 may be referred to as a first inquiry device), and then controlling the second inquiry device by the cloud platform to inquire whether the user needs to air-cure in a voice broadcast manner; if the fact that the user needs to carry out airing is determined according to the inquiry result picked up by the second inquiry equipment, the intelligent clothes hanger is controlled to descend;

understandably, if the intelligent washing machine is currently at the end of washing, the washed clothes need to be aired. Generally, a user does not keep the washing machine, but does other things while the washing machine is operated. For example, a user cooks in the kitchen. In order to clearly and accurately inform the user that the washing machine is properly washed, a voice device of the kitchen may be selected as the second query device, for example, a refrigerator of the kitchen may be used as the second query device, and the refrigerator of the kitchen informs the user of the washing completion and asks the user whether drying is required. If the user sends a voice 'needs airing' after hearing the inquiry in the kitchen, the kitchen refrigerator picks up the voice and sends the voice to the cloud platform, and the cloud platform controls the intelligent clothes hanger to descend.

(2) Then, selecting a voice device in a physical space where the intelligent clothes hanger is located, and controlling the voice device to enter an awakening state; judging whether a voice instruction for lifting the clothes hanger, which is sent by the voice equipment in the awakening state, is received within a first preset time period when the second inquiry equipment sends the inquiry result; if the voice command of lifting the clothes hanger is received, controlling the intelligent clothes hanger to lift; the voice device entering the awakening state is used for picking up a voice instruction sent by a user and sending the voice instruction to the cloud platform.

For example, after a user gives a voice command for drying, the clothes in the washing machine are taken out and hung on the intelligent clothes hanger, and at the moment, the user says "lift up the clothes hanger". In order to pick up the voice command sent by the user, a voice device needs to be selected from the optimal interaction device group corresponding to the current position of the user, and the voice device is awakened, for example, a voice terminal on the balcony where the clothes hanger is located is awakened, and the awakened voice terminal picks up the voice command "raise the clothes hanger" sent by the user. The voice terminal sends the picked voice instruction to the cloud platform, and the cloud platform can control the intelligent clothes hanger to lift.

For another example, a washing machine performs a washing work in a laundry room, and a user reads a book in a main bedroom. If the washing machine finishes washing, the user is located in the master bedroom, the television of the master bedroom is determined to be the second inquiry device, the television of the master bedroom can send out voice 'whether washing is finished and airing needs to be conducted immediately', the user responds 'good', the television of the master bedroom picks up the inquiry result and then sends the inquiry result to the cloud platform, and the cloud platform can control the intelligent clothes hanger to descend after receiving the inquiry result. At this time, the user can go out of the main bedroom and hang the clothes washed by the washing machine on the clothes hanger. Meanwhile, the cloud platform can select one voice device from the optimal interaction device group corresponding to the current position of the user and awaken the voice device. The user sends out voice ' long rainbow and small white ' to lift the clothes hanger ', the voice command is sent to the cloud platform after the voice command is picked up by the awakened voice device, and the cloud platform can control the intelligent clothes hanger to ascend after receiving the voice command.

(3) Secondly, after the cloud platform receives the jacking information sent by the intelligent clothes hanger, determining an optimal interaction equipment group corresponding to the position of the user in the whole space; selecting one intelligent household appliance from the optimal interaction equipment group as third inquiry equipment, wherein the third inquiry equipment is used for picking up an intelligent airing instruction of a user and sending the intelligent airing instruction to the cloud platform; judging whether an intelligent airing instruction sent by the third inquiring equipment is received or not in a second time period after the jacking information is received; if yes, the hot drying function of the intelligent clothes hanger is started, the hot drying strength of the intelligent clothes hanger is controlled according to the intelligent drying instruction, and the third inquiry equipment is controlled to remind a user that the hot drying function is started in a voice broadcasting mode.

For example, after a user sends a voice command of "lifting the clothes hanger", the cloud platform controls the intelligent clothes hanger to lift, and then when the intelligent clothes hanger rises to the top, the intelligent clothes hanger informs the cloud platform, so that the cloud platform can know that the intelligent clothes hanger has risen to the top. At this time, the cloud platform determines a corresponding optimal interaction device group according to the current position of the user, selects one intelligent household appliance as a third inquiry device, and wakes up the third inquiry device. For example, the user is in a laundry room, which is now the laundry machine in the laundry room as the third interrogation device. The awakened third interrogation device picks up the voice command from the user. For example, a user says "long rainbow is small and white, clothes are dried at 8 o 'clock in the morning in the next morning", the third inquiry device picks up the voice instruction and sends the voice instruction to the cloud platform, the cloud platform analyzes the voice instruction after receiving the voice instruction, the intelligent drying instruction is known, and in order to ensure that the clothes are dried at 8 o' clock in the next morning, the hot drying function needs to be started. Therefore, the cloud platform can control the hot drying function of the intelligent clothes hanger to be started, and then control the third inquiry equipment to send out voice 'auxiliary thermal engineering is started'. And the hot drying intensity can be controlled according to the time, the clothes need to be dried before 8 o' clock in the Ming-ao, the visible time is short, and the hot drying intensity can be a large value.

In practice, if the cloud platform does not receive the intelligent airing instruction, weather information in the future 24 hours is obtained, and the predicted airing time of the clothes is predicted according to the weather information; temperature and humidity information collected from a temperature and humidity sensor according to a preset time interval; the temperature and humidity sensor is used for collecting the temperature and humidity of the clothes airing environment; and correcting the predicted drying time according to the temperature and humidity information, and sending the corrected predicted drying time to an application program for voice equipment control in the whole space, so that the application program can display the change condition of the predicted drying time.

For example, if the temperature and humidity are consistent with the weather conditions within 24 hours in the future, the airing time is not expected to change. If the temperature is higher relative to the weather at the corresponding time point within the next 24 hours, it is indicated that the airing time is expected to be advanced. If the humidity is low relative to the weather at the corresponding time point within the next 24 hours, it is indicated that the airing time is expected to be advanced. The predicted airing time is corrected in such a way, so that the predicted airing time is adjusted along with the change of the actual environment, and the method accords with the actual situation.

After knowing the expected drying time, if the clothes need to be dried before a certain time point, the user can initiate a wake-up request, for example, the user says "long rainbow and small white", so that one intelligent household appliance in the optimal interaction device group corresponding to the position where the user is located can be woken up, and then the user says "open hot drying", so that the intelligent household appliance can pick up the voice and send the voice to the cloud platform, and the cloud platform receives the voice and then controls the intelligent clothes hanger to open the hot drying function. Therefore, natural drying can be converted into intelligent drying.

It can be understood that a plurality of voice terminals are arranged in the whole space of a family in order to pick up the voice commands sent by the user at each corner, so that the union of the optimal pickup ranges of the intelligent household appliances and the voice terminals can cover the whole space, and the problem that the user commands are not responded due to the fact that the user commands are not picked up can be avoided or greatly reduced. And each voice terminal is connected with the cloud platform, so that control for each voice terminal in the whole space of a family can be formed. By the mode, interconnection of each voice device, each intelligent clothes hanger and each cloud platform in a family can be realized, and cooperative control is facilitated, so that intelligent drying and washing can be realized.

The method provided by the embodiment of the invention has the following beneficial effects:

(1) in the embodiment of the invention, the cloud platform judges whether the washing mode is matched with the weather information or not, determines the optimal interactive device group corresponding to the position of the user in the whole space when the washing mode is not matched with the weather information, selects one intelligent household appliance from the optimal interactive device group as an inquiry device, controls the inquiry device to inquire whether the user modifies the washing mode or not in a voice broadcast mode, determines whether the washing mode is modified or not according to an inquiry result picked up by the inquiry device, and controls the intelligent washing machine to start to work according to the final washing mode. Therefore, the invention makes the washing machine work according to the most suitable washing mode as much as possible, and simultaneously inquires the opinion of the user, namely simultaneously considers the self idea of the user.

(2) Because the inquiry equipment is selected from the optimal interaction equipment group corresponding to the current position of the user when the inquiry equipment is determined, the inquiry voice of the inquiry equipment can be received when the weather information is not matched with the set washing mode no matter at any position of the user at home, the user can directly reply by voice without going to the position of the washing machine to modify the washing mode or looking up the weather by himself, and the method is very convenient and flexible, so that the whole process is more intelligent.

(3) Because the query devices are selected from the optimal interaction device group corresponding to the current position of the user when the query devices are determined, and the optimal interaction device group is a group obtained by dividing each voice device according to the position and the orientation of the user, each voice device in the optimal interaction device group is positioned near the user, and the query devices selected from the optimal interaction device group are also positioned near the user, so that the user can hear query contents sent by the query devices very clearly, and the accuracy of the drying and washing control can be improved.

In a second aspect, an embodiment of the present invention provides an intelligent drying and washing control apparatus, where voice devices are distributed in a whole space of a home, where the voice devices include intelligent home appliances, a voice module in each of the intelligent home appliances has voice pickup and voice feedback functions, and each of the voice devices is in communication connection with a cloud platform for controlling the voice devices in the whole space; the intelligent household appliance comprises an intelligent washing machine;

the apparatus is located on a cloud platform, see fig. 4, and comprises:

the first receiving module is used for receiving the washing mode of the intelligent washing machine; wherein the washing mode is to start a drying function or not to start the drying function;

the first acquisition module is used for acquiring weather information within 24 hours in the future;

the first judgment module is used for judging whether the washing mode is matched with the weather information or not;

the first query module is used for determining the optimal interaction equipment group corresponding to the position of the user in the full space if the position of the user in the full space is not matched with the position of the user in the full space; selecting one intelligent household appliance from the optimal interaction equipment group as inquiry equipment; controlling the inquiring equipment to inquire whether the user modifies the washing mode or not in a voice broadcasting mode; determining whether to modify the washing pattern according to a query result picked up by the query device; controlling the intelligent washing machine to start according to the final washing mode; wherein the optimal interactive device group is a group formed by at least two voice devices, which is determined in advance according to the position and orientation in the full space when a user issues a voice instruction.

It is understood that the apparatus provided by the second aspect and the method provided by the first aspect are corresponding, and for the explanation, example, and beneficial effects and the like of the related contents in this aspect, reference may be made to the related contents in the first aspect, and details are not described here.

The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, as for the apparatus embodiment, since it is substantially similar to the method embodiment, the description is relatively simple, and for the relevant points, reference may be made to the partial description of the method embodiment.

Those skilled in the art will recognize that, in one or more of the examples described above, the functions described in this disclosure may be implemented in hardware, software, hardware, or any combination thereof. When implemented in software, the functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium.

The above-mentioned embodiments, objects, technical solutions and advantages of the present invention are further described in detail, it should be understood that the above-mentioned embodiments are only examples of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made on the basis of the technical solutions of the present invention should be included in the scope of the present invention.

Claims (10)

1. An intelligent drying and washing control method is characterized in that voice devices are distributed in the whole space of a family, the voice devices comprise intelligent household appliances, voice modules in the intelligent household appliances have voice pickup and voice feedback functions, and all the voice devices are in communication connection with a cloud platform used for controlling the voice devices in the whole space; the intelligent household appliance comprises an intelligent washing machine;

the method is performed by a cloud platform, the method comprising:

receiving a washing mode of the intelligent washing machine; wherein the washing mode is to start a drying function or not to start the drying function;

acquiring weather information within 24 hours in the future;

judging whether the washing mode is matched with the weather information;

if not, determining the optimal interactive equipment group corresponding to the position of the user in the full space; selecting one intelligent household appliance from the optimal interaction equipment group as inquiry equipment; controlling the inquiring equipment to inquire whether the user modifies the washing mode or not in a voice broadcasting mode; determining whether to modify the washing pattern according to the query result picked up by the query device; controlling the intelligent washing machine to start according to the final washing mode; wherein the optimal interactive device group is a group formed by at least two voice devices, which is determined in advance according to the position and orientation in the full space when a user issues a voice instruction.

2. The method of claim 1, wherein the determining whether the washing pattern and the weather information match comprises: if the washing mode is to start the drying function and the weather information is clear and suitable for airing, the washing mode is not matched with the weather information;

correspondingly, the controlling the inquiring device inquires whether the user modifies the washing mode in a voice broadcasting mode, including: and controlling the inquiry equipment to inquire whether the user cancels the drying function or not in a voice broadcast mode.

3. The method of claim 1, wherein the determining whether the washing pattern and the weather information match comprises: if the washing mode is not started with the drying function and the weather information is rainy weather which is not suitable for airing, the washing mode is not matched with the weather information;

correspondingly, the controlling the inquiring device inquires whether the user modifies the washing mode in a voice broadcasting mode, including: and controlling the inquiry equipment to inquire whether the drying function is added to the user in a voice broadcasting mode.

4. The method of claim 1, wherein the determining of the optimal set of interacting devices comprises:

the cloud platform acquires the position and the orientation of a user sending a preset awakening word in the whole space in a historical awakening task; acquiring the sound intensity of the preset awakening words picked up by each voice device, and selecting a first voice device from each voice device according to the sound intensity; the sound intensity picked up by each first voice device is higher than the sound intensity picked up by other voice devices, and the maximum difference value between the sound intensities picked up by each first voice device is within a preset difference value range; acquiring a pickup angle of each first voice device; selecting second voice equipment with a pickup angle within an optimal pickup angle range from the first voice equipment according to the pickup angle of each first voice equipment; forming each of the second speech devices into an optimal set of interaction devices for the location and the orientation of the user.

5. The method of claim 1, wherein receiving a washing pattern of the intelligent washing machine comprises:

aiming at each awakening request, determining corresponding response voice equipment according to the position of a user; the response voice equipment is one voice equipment in the full space and is used for picking up a voice instruction sent by a user after sending a wake-up request and sending the voice instruction to the cloud platform;

and receiving the washing mode transmitted by the response voice equipment.

6. The method of claim 5, wherein determining the corresponding responding voice device according to the user's location for each wake-up request comprises:

receiving notification information sent by a decision device, wherein the notification information is used for notifying a response voice device determined by the decision device to a cloud platform, and the decision device is an intelligent household appliance in the voice devices;

when each voice device picks up a preset awakening word sent by a user, calculating a corresponding score value, and judging whether the score value is higher than a score value threshold corresponding to the voice device; if yes, generating the election participation request according to the score value of the voice equipment, and sending the election participation request to decision equipment; the decision equipment selects one voice equipment from the voice equipment sending the election participation request as the response voice equipment according to the score value in each election participation request;

wherein each voice device has a corresponding score value threshold, and the determination process of the score value threshold comprises the following steps: the cloud platform acquires a historical score value of each voice device in the full space; determining rule data of the voice equipment which is selected as response voice equipment according to the historical credit value of each voice equipment, and setting a corresponding credit value threshold value for the voice equipment according to the rule data; sending the score value threshold of each voice device to the voice device; the historical score value of one voice device is the score value of the voice device after the voice device picks up a wake-up word each time in a preset historical time period, the score value is used for representing the probability of a user waking up the voice device, and the rule data of one voice device is the corresponding historical score value interval when the voice device is elected as a response voice device in the preset historical time period.

7. The method of claim 6, wherein when the pickup angle of a speech device is within a predetermined range, the speech device calculates the corresponding score value using a first calculation formula, the first calculation formula comprising:

when r is in the first range, P2 ═ a × s + b/| r-90

When r is in the second range, P2 ═ b ═ s-a | -r-90 | + c

Wherein P2 is the score value; s is the pickup sound intensity; r is the pickup angle; the first range is: r is greater than or equal to 60 and less than 80, or r is greater than 100 and less than or equal to 120; the second range is: r is 80 or more and 100 or less; a and b are preset weights, a is larger than b, c is 10 a + b/10, and the preset range is the union of the first range and the second range.

8. The method of claim 6, wherein before receiving the notification information sent by the decision device, the method further comprises:

determining a corresponding optimal interaction equipment group according to the position of the user in the full space;

determining whether the optimal group of interacting devices has a corresponding priority answering device; the priority response equipment is an intelligent household appliance preset by a user on the application program according to the optimal interaction equipment group;

if the corresponding priority response equipment exists, determining whether the score value corresponding to the priority response equipment is higher than a preset score value; if the priority value is higher than the preset score value, the priority response equipment is used as the response voice equipment; if the score value is lower than or equal to the preset score value, executing the step of acquiring the response voice equipment from the decision equipment;

and if the corresponding priority response equipment does not exist, executing the step of receiving the notification information sent by the decision equipment.

9. The method according to claim 6, wherein the cloud platform calculates a decision-making capability score of each voice device in advance by using a second calculation formula, and takes the voice device with the highest decision-making capability score as the decision-making device; the second calculation formula includes:

P1＝u*(d ² -1/y)

wherein P1 is the decision ability score; d is the average daily live time of the voice device in the past month; y is the CPU operation capacity of the voice equipment; u is a mark of the use of the voice equipment by the family user in the current season; if the family user uses the voice equipment in the current season, the corresponding use mark of the voice equipment is 1; if the voice device is not suitable for the home user in the current season, the corresponding use mark of the voice device is 0.

10. An intelligent drying and washing control device is characterized in that voice equipment is distributed in the whole space of a family, the voice equipment comprises intelligent household appliances, voice modules in the intelligent household appliances have voice pickup and voice feedback functions, and all the voice equipment is in communication connection with a cloud platform used for controlling the voice equipment in the whole space; the intelligent household appliance comprises an intelligent washing machine;

the apparatus is located on a cloud platform, the apparatus comprising:

the first receiving module is used for receiving the washing mode of the intelligent washing machine; wherein the washing mode is to start a drying function or not to start the drying function;

the first acquisition module is used for acquiring weather information within 24 hours in the future;

the first judgment module is used for judging whether the washing mode is matched with the weather information or not;

the first query module is used for determining the optimal interaction equipment group corresponding to the position of the user in the full space if the position of the user in the full space is not matched with the position of the user in the full space; selecting one intelligent household appliance from the optimal interaction equipment group as inquiry equipment; controlling the inquiring equipment to inquire whether the user modifies the washing mode or not in a voice broadcasting mode; determining whether to modify the washing pattern according to a query result picked up by the query device; controlling the intelligent washing machine to start according to the final washing mode; wherein the optimal interactive device group is a group formed by at least two voice devices, which is determined in advance according to the position and orientation in the full space when a user issues a voice instruction.

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