CN114875632B

CN114875632B - Intelligent baking and washing control method and device

Info

Publication number: CN114875632B
Application number: CN202210606327.8A
Authority: CN
Inventors: 陈峰峰; 张新星; 高向军; 邓宏; 陈良; 李晓彦; 聂红雁
Original assignee: Sichuan Hongmei Intelligent Technology Co Ltd
Current assignee: Sichuan Hongmei Intelligent Technology Co Ltd
Priority date: 2022-05-31
Filing date: 2022-05-31
Publication date: 2023-08-22
Anticipated expiration: 2042-05-31
Also published as: CN114875632A

Abstract

The embodiment of the specification provides an intelligent baking and washing control method and device, wherein 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 the two interaction equipment groups are not matched, determining an optimal interaction equipment group corresponding to the position of the user in the whole space; selecting an intelligent household appliance from the optimal interaction equipment group as an inquiry equipment; the inquiry equipment is controlled to inquire whether the user modifies the washing mode in a voice broadcasting mode; determining whether to modify the washing pattern according to the 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 baking 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 uses a washing machine to wash clothes, a washing mode is manually set according to weather, so that the user needs to check the weather, and needs to manually operate, and the intelligent degree is low. At present, intelligent home is popular, and the requirements of people on the intelligent home appliances are also higher.

Disclosure of Invention

One or more embodiments of the present specification describe an intelligent bake and wash control method and apparatus.

In a first aspect, the present disclosure provides an intelligent baking and washing control method, in which voice devices are distributed in a whole space of a household, where each voice device includes an intelligent household appliance, a voice module in the intelligent household appliance has a voice pickup function and a voice feedback function, and each voice device is in communication connection with a cloud platform for controlling the voice device 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 enable the drying function or not enable the drying function;

acquiring weather information within 24 hours in the future;

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

if the two interaction equipment groups are not matched, determining an optimal interaction equipment group corresponding to the position of the user in the whole space; selecting an intelligent household appliance from the optimal interaction equipment group as an inquiry equipment; the inquiry equipment is controlled to inquire whether the user modifies the washing mode 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; the optimal interaction equipment group is a group formed by at least two voice equipment, wherein the group is determined in advance according to the position and the orientation of the user in the whole space when the user sends a voice instruction.

In a second aspect, the present disclosure provides an intelligent drying and washing control device, where voice devices are distributed in a whole space of a household, where the voice devices include intelligent household appliances, and a voice module in the intelligent household appliance has 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 device is located on a cloud platform, and the device comprises:

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

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

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

the first inquiry module is used for determining the optimal interaction equipment group corresponding to the position of the user in the whole space if the user is not matched with the first inquiry module; selecting an intelligent household appliance from the optimal interaction equipment group as an inquiry equipment; the inquiry equipment is controlled to inquire whether the user modifies the washing mode 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; the optimal interaction equipment group is a group formed by at least two voice equipment, wherein the group is determined in advance according to the position and the orientation of the user in the whole space when the user sends a voice instruction.

The intelligent baking 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 and the weather information are matched, and when the washing mode and the weather information are not matched, the optimal interaction equipment set corresponding to the position of the user in the whole space is determined, one intelligent household appliance is selected from the optimal interaction equipment set to serve as an inquiry equipment, the inquiry equipment is controlled to inquire whether the user modifies the washing mode in a voice broadcasting mode, whether the washing mode is modified is determined according to an inquiry result picked up by the inquiry equipment, and the intelligent washing machine is controlled to start according to a final washing mode. Therefore, the washing machine works according to the most proper washing mode as much as possible, and meanwhile, the user's opinion is also inquired, namely, the user's own ideas are considered.

(2) When the query device is determined, the query device is selected from the optimal interaction device group corresponding to the current position of the user, so that no matter where the user is at home, the query voice of the query device can be received when weather information and a set washing mode are not matched, the user can directly reply by voice without walking to the position of the washing machine to modify the washing mode, and the user does not need to check weather by himself, so that the whole process is very convenient and flexible, and the whole process is more intelligent.

(3) Because the optimal interactive equipment group is selected from the optimal interactive equipment group corresponding to the current position of the user when the query equipment is determined, and the optimal interactive equipment group is obtained by dividing each voice equipment according to the position and the orientation of the user, each voice equipment in the optimal interactive equipment group is positioned near the user, and the selected query equipment is also positioned near the user, so that the user can clearly hear the query content sent by the query equipment, and the accuracy of the baking and washing control can be improved.

Drawings

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

FIG. 1 is a flow chart of an intelligent bake and rinse control method in one embodiment of the present disclosure;

FIG. 2 is a schematic diagram of the distribution of individual smart home 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 disclosure;

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

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

Detailed Description

The following describes the scheme provided in the present specification with reference to the 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 invention can include, but are not limited to, the following scenarios:

a plurality of voice devices including various intelligent home appliances are distributed in one home, and for example, referring to fig. 2, one washing machine, one refrigerator, two hanging air conditioners, one cabinet air conditioner, two televisions are provided in the whole space of one home. The intelligent household appliances are all 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, the user is informed of the execution condition of some devices in a voice broadcasting mode. Any one of the smart appliances may thus be used as an interactive device as mentioned below.

However, since intelligent home appliances are not provided in balconies, home areas, toilets, etc., voice pickup functions in these areas are poor, and thus voice terminals can be provided in these areas. Referring to fig. 3a and 3b, voice terminals are provided at the home entrance area, balcony, restaurant, study room, secondary guard, main guard, head of bed for main lying, head of bed for children room, etc. The voice terminal can pick up the voice sent by the user and can be accessed to the home local area network through WIFI. Because the volume of voice terminal is very little, inconvenient installation public address module, therefore voice terminal does not have voice broadcast's function.

It can be understood that, because the optimal pickup range of each intelligent home appliance is difficult to cover each corner in a home, a situation that the voice command of the user cannot be responded sometimes occurs, and therefore, the voice terminal is arranged in an area which is not covered by the intelligent home appliance in the home. Thus, the optimal pickup range of each intelligent household appliance and each voice terminal can cover the whole space in one household.

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

All voice devices (including all voice terminals and all intelligent household appliances) in one household are in communication connection with the cloud platform, so that the cloud platform can control all voice devices in the household. Of course, an application program may be installed on the mobile terminal of the user, and control, configuration, etc. of each voice terminal in the home may be also performed through the application program.

In summary, in one scenario, a voice device is distributed in the whole space of a household, where the voice device includes an intelligent home appliance and a voice terminal, and the union of the optimal pickup ranges of each intelligent home appliance and each voice terminal can cover the whole space; the voice module in the intelligent household appliance has a voice pick-up function and a voice feedback function, and the voice module of the voice terminal has a voice pick-up function; 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.

Based on the above scene, intelligent washing and drying can be realized through mutual cooperation among a plurality of devices.

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

It can be appreciated that if some alternative embodiments of the present invention involve a voice terminal, the scenario in which such specific embodiments are applicable is: voice equipment is distributed in the whole space of a household, the voice equipment comprises intelligent household appliances and voice terminals, and the whole space can be covered by a union of the optimal pickup ranges of the intelligent household appliances and the voice terminals; the voice module in the intelligent household appliance has a voice pick-up function and a voice feedback function, and the voice module of the voice terminal has a voice pick-up function; and the voice devices are all in communication connection with a cloud platform for controlling the voice devices in the whole space. For example, at least two smart home appliances and at least two voice terminals are contained within one home.

It will be appreciated that, if some alternative embodiments of the present invention do not involve a voice terminal, the scenario to which such a specific embodiment is applicable may be the scenario described in the previous text, and of course may also be the scenario: in a scenario where only intelligent appliances are contained in one home, the voice module in the intelligent appliances has voice pick-up 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, referring to FIG. 1:

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

in the implementation, 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.

Of course, in order to be more intelligent, for example, the user speaks "long rainbow little white" in the bedroom, namely, initiates a wake-up request, the television in the bedroom is determined to be a response voice device, the television responds "on", at the moment, the user speaks "start washing, and starts a 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, so that the washing mode of the washing machine is known. If the user does not indicate a washing pattern in the voice, the responsive voice device may further query to determine a washing pattern. It can be seen that in this manner the washing pattern is sent to the cloud platform in response to the voice device.

For the second mode, S100 may specifically include:

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

s120, receiving the washing mode sent by the response voice equipment.

The two methods for acquiring the washing mode are provided, and aiming at the second mode, a user can set the washing mode in a voice mode without manually setting the washing mode, and can set the washing mode at any position in a household, so that the washing mode is more intelligent, convenient and flexible compared with the first mode.

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

S200, acquiring weather information in the future 24 hours;

for example, whether the weather is clear or not, and whether it is overcast or not, within 24 hours in the future. The weather information herein refers to weather information whether or not it is suitable for laundry drying, for example, sunny weather is suitable for laundry drying, and cloudy weather is not suitable for laundry drying.

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

in specific implementations, S300 may specifically include at least one of:

(1) If the washing mode is to enable a drying function and the weather information is clear, the washing mode is not matched with the weather information;

(2) If the washing mode is not used for drying, and the weather information is overcast and rainy weather unsuitable for airing, the washing mode is not matched with the weather information.

That is, if the weather information is clear, the clothes are suitable for airing, and the washing mode starts the drying function, which indicates that the two are not matched. If the weather information is clear, the clothes are suitable for airing, and the washing mode is that the drying function is not started, so that the clothes are matched. If the weather is overcast and rainy, and the washing mode is not started to dry, the two are not matched. If the weather is overcast and rainy, the washing mode is to start the drying function, and the washing mode and the drying mode are matched.

S400, if the two interaction equipment groups are not matched, determining an optimal interaction equipment group corresponding to the position of the user in the whole space; selecting an intelligent household appliance from the optimal interaction equipment group as an inquiry equipment; the inquiry equipment is controlled to inquire whether the user modifies the washing mode 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; the optimal interaction equipment group is a group formed by at least two voice equipment, wherein the group is determined in advance according to the position and the orientation of the user in the whole space when the user sends a voice instruction.

It will be appreciated that if the weather information and the wash pattern do not match, it is preferable to modify the wash pattern at this time, although the user's mind is also considered if it is true. Therefore, in the embodiment of the invention, the corresponding optimal interaction equipment group is determined according to the current position of the user, one intelligent household appliance is selected from the optimal interaction equipment group to serve as the query equipment, and then the query equipment is controlled to query 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 matches the modified washing pattern. And if the user response is not modified, no modification to the wash mode is required. The final washing mode is determined in this way, and the cloud platform controls the intelligent washing machine to perform washing work according to the final washing mode.

The optimal interaction equipment group is a group which is divided in advance according to the position and the orientation of a user, and at least two voice equipment are arranged in one optimal interaction equipment group. In S400, if two or more optimal interaction device groups can be determined according to the location of the user, at this time, a most suitable one of the optimal interaction device groups can be determined further according to the direction of the user.

The function of the query device is to send out voice to query the user, and pick up the query result of the user, namely, response voice, so the query device needs to have a pick-up function and a voice broadcasting function, and therefore, the query device can only be an intelligent household appliance, and the voice terminal cannot conduct voice broadcasting.

For example, the user speaks "long rainbow little white" in the bedroom, namely initiates a wake-up request, the television in the bedroom is determined to be a response voice device, the television responds "in the bedroom", at the moment, the user speaks "start washing, start drying function", the television in the bedroom picks up the section of voice, the section of voice is sent to the cloud platform, and the cloud platform analyzes the section of voice, so that the washing mode of the washing machine is known. Then the cloud platform acquires that the weather information is clear and windy in the future 24 hours, the cloud platform is very suitable for airing, the washing mode is a drying function starting mode, and the visible weather information and the washing mode are not matched. Because the user still exists in the bedroom at present, the television is used as the query device in the corresponding optimal interaction device group, the television in the bedroom is further controlled to send out a query of whether the drying function needs to be canceled, the user responds to the query of canceling the bar, the television in the bedroom picks up the query result of the user and sends the query result to the cloud platform, and the cloud platform knows that the user agrees to cancel the drying function, so that the drying function in the washing mode is canceled, and the washing machine is further controlled to start working according to the modified washing mode.

In the above example, the answering speech device and the interrogation device may be the same device, and the television is used as the interrogation device at the same time, since the user is still in the bedroom, the television is included in the optimal group of interaction devices, and the television has the function of speech broadcasting and can be interrogated by the user.

But the interrogation device may change when the user walks to another location, such as a toilet. Even if the position of the user is not changed, the user is still in the bedroom, but if the previously determined response voice device 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 to enable the drying function, the weather information is clear weather suitable for airing, and at this time, the cloud platform controls the inquiry device to inquire whether the user modifies the washing mode in a voice broadcasting manner, which may specifically include: and controlling the inquiry equipment to inquire whether the user cancels the drying function or not in a voice broadcasting mode.

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

In the embodiment of the invention, the optimal interaction equipment is provided, and the optimal interaction equipment group is a virtual space group obtained by dividing the voice equipment according to a plurality of wake-up requests of a user by the cloud platform. The following describes the determination of the optimal interaction device set in detail:

a1, the cloud platform acquires the position and the orientation of a user sending a preset wake-up word in the whole space in a history wake-up task;

a2, acquiring the sound intensity of each voice device picking up the preset wake-up word, and selecting a first voice device from the voice devices 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 pickup angles of the first voice devices;

a4, selecting second voice equipment with the pick-up angle falling in the optimal pick-up angle range from the first voice equipment according to the pick-up angle of each first voice equipment;

a5, forming each second voice device into an optimal interaction device group aiming at the position and the orientation of the user.

For example, referring to fig. 3b, the user sends out "long iridescent" at the middle position of the living room and the dining room and facing the balcony, and the sound intensity picked up by the 5 voice devices in the living room, the dining room and the dining room is slightly higher than the sound intensity picked up by the voice devices in the laundry room and the kitchen, and the sound intensity picked up by the 5 voice devices in the living room, the dining room and the dining room is far higher than the sound intensity picked up by the voice devices in the study room, the bedroom and the bathroom. And screening 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 the 5 voice devices in the living room, the living room and the restaurant is almost the same, and the 5 voice devices are the voice devices with the largest sound intensity among all the voice devices, so the 5 voice devices are used as the first voice device.

Furthermore, because the user faces the balcony, 3 voice devices in the living room and the balcony face the sounding direction of the user, and two voice devices in the living room and the dining room face away from the sounding direction of the user, the pick-up angles of the 3 voice devices in the living room and the balcony are in the optimal pick-up angle range, and the pick-up angles of the two voice devices in the living room and the dining room are not in the optimal pick-up 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 two voice devices of the restaurant and the user form an optimal interactive device group.

It can be seen that, according to the position and the orientation of the user, an optimal interaction device group can be corresponding to the user when the user is in a certain position, for example, when the user is sitting on a living room sofa 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 the user is at different positions and orientations in the whole space of the home, multiple optimal interaction device groups can be formed according to multiple wake-up requests, and the multiple optimal interaction device groups are stored and can be directly used later.

The embodiment of the invention provides an optimal interaction equipment set. The optimal interactive equipment group is a virtual space group obtained by automatic division according to the past experience. The optimal interaction device group is a device group determined according to the position and the orientation of the user, and each voice device in one optimal interaction device group can be located in the same physical space or in a plurality of physical spaces. For example, when a user stands in the middle of a living room and a restaurant and sends a wake-up request towards a balcony, three devices, namely a cabinet air conditioner and a television in the living room and a voice terminal on the balcony, are divided into an optimal interaction device group, and then the optimal interaction device group can be used for determining target intelligent household appliances. The optimal group of interaction devices is a virtual space group in which there are at least two voice devices, if there is only one voice device, it is not necessary to divide into a group.

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

s10, receiving notification information sent by decision-making equipment, wherein the notification information is used for notifying a cloud platform of response voice equipment determined by the decision-making equipment, and the decision-making equipment is an intelligent household appliance in the voice equipment.

That is, the answering voice device is determined by the decision device, and the decision device informs the cloud platform after determining the answering voice device, so that the cloud platform knows which voice device is the answering voice device. The decision device is one of various intelligent household appliances in the household, and only one decision device is arranged in the whole space of the whole household, and the decision device is determined in advance.

When each voice device picks up a preset wake-up 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 or not; if yes, generating the election participation request according to the scoring value of the voice equipment, and sending the election participation request to decision equipment; and the decision device elects one voice device from the voice devices sending the election participation requests as the response voice device according to the grading values in the election participation requests.

For example, based on fig. 3b, after a user sends out a preset wake-up word "Changhong Xiaobao" in a living room, that is, after the user initiates a wake-up request, 7 voice devices in a living room, a restaurant, a balcony, a kitchen and a laundry all pick up the preset wake-up word sent out by the user, and then the 7 voice devices calculate respective score values, so as to determine whether the score value of the voice device is higher than the score value threshold of the voice device. I.e. each voice device has a corresponding score threshold. After judgment, only the scoring values of 5 voice devices in a user, a living room, a restaurant and a balcony are higher than the respective scoring value threshold, so that only the 5 voice devices send election participation requests to decision-making devices. 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 determining process of the scoring value threshold value of each voice device comprises the following steps:

b1, the cloud platform acquires the historical grading value of each voice device in the whole space;

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

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

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

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

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

Further, when each voice device picks up a preset wake-up word sent by a user, a corresponding score value is calculated, and then the score value is compared with a score value threshold of the voice device. When the pick-up angle of a voice device is within a preset range, the voice device may calculate a corresponding score value by using a first calculation formula, where the first calculation formula includes:

when r is within 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 scoring value; s is the sound pick-up intensity; r is the pick-up angle; the first range is: r is 60 or more and 80 or less, or r is 100 or more and 120 or less; 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 x a+b/10, and the preset range is the union of the first range and the second range.

Wherein, when r is in the first range, the larger the pickup intensity, the larger the P2; the closer the pickup angle is to 90, the greater P2, so the higher the pickup intensity and the higher the wake-up score of a voice device with a pickup angle close to 90. Also, when r is within the first range, the sound pickup intensity is weighted as a, and a is larger than b, which means that the sound pickup intensity is more focused at this time, that is, the sound pickup intensity is more important in this case.

When r is in the second range, the larger the pickup intensity, the larger the P2, and the closer the pickup angle, the larger the P2, so the score of the voice device having high pickup intensity and the pickup angle close to 90 is comparatively high. When r is in the second range, the pick-up angle has a weight of a, and a is larger than b, which means that the pick-up angle is more focused at this time, that is, in this case, the pick-up angle is important.

Further, when the sound intensities of the picked-up sound are the same and the score of r in the second range should be greater than the score of r in the first range, to ensure this requirement, in the embodiment of the present invention, the parameter c is added to the calculation formula of r in the second range, and let c be 10×a+b/10, which can ensure that the score of r in the second range is greater than the score of r in the first range when the sound intensities of the picked-up sound are the same.

Wherein c=10a+b/10 is calculated to ensure that b×s-a×r-90|+c is equal to or greater than a×s+b/|r-90| when r is 100 and the sound intensity of sound pickup is 0. On the basis of the value c, when r is in any value in the second range, the wake-up score of r in the second range is larger than the wake-up score of r in the first range under the condition that the sound pick-up intensity is the same.

In practice, when the pickup angle is outside the preset range, for example, when the pickup angle is smaller than 60 or larger than 120, it is indicated that the pickup angle of the voice device is not the optimum pickup angle at this time, but p2=a×s+b/|r-90| may be used to calculate the corresponding score value.

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

c1, determining a corresponding optimal interaction equipment group according to the position of the user in the whole space;

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

c3, if the corresponding priority response equipment exists, determining whether the scoring value corresponding to the priority response equipment is higher than a preset scoring value; if the priority response equipment is higher than the preset scoring 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 c4, if the corresponding priority response equipment does not exist, executing the step of receiving the notification information sent by the decision-making equipment.

That is, the user may set a preferred answering device for each optimal group of interactive devices on the application of the mobile terminal. For each wake-up request, the cloud platform determines a corresponding optimal interaction device group according to the position of the user, and then judges whether a preferred response device is set for the optimal interaction device group. If a preferred answering machine is set, then a score value for the preferred answering machine is calculated and compared with a preset score value. If the scoring value is higher than the preset scoring value, the sound intensity picked up by the preferred answering device is not very low, the sound pickup requirement can be met, and the preferred answering device is taken as an answering voice device at the moment; wherein the preset scoring value may be below the respective scoring value threshold of the preferred answering machine.

However, if the score value of the preferred answering device is less than or equal to the preset score value, it is indicated that the sound intensity picked up by the preferred answering device is very low at this time, and the sound pickup requirement cannot be met. Thus requiring a responsive voice device determined by the decision making device. Of course, if no corresponding preferred answering device is set for this optimal group of interaction devices, then the answering voice device determined by the decision device needs to be employed.

It is understood that the preferred answering device of an optimal group of interacting devices is a smart home appliance of 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 making device mentioned above may be cloud platform determined, and the specific process may include:

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

it will be appreciated that after the voice device is operated for a period of time, many data, such as usage habit data of the user on the voice device, and charging status data of the voice device, are generated, and in addition, operational capability data of each voice device is obtained.

Wherein the usage habit data of the user for the voice device, for example, which period of the day the user is used to watch television, which season the user is used to turn on the air conditioner, etc. The power state data of the voice device refers to whether the voice device is always powered, powered at a certain time period in the day, rarely powered, or the like. The calculation capability data of the voice device is data that can represent the calculation speed and calculation amount of the voice device, and the decision device needs to wake up the decision processing while realizing its own functions, so that the calculation capability of the voice device needs to be considered here.

d2, determining decision capability scores of each voice device according to the electrified state data, the calculation capability data and the user habit data of each voice device;

it can be understood that when calculating the decision capability score of each voice device, not only the usage habit and the electrification state of the user need to be considered, but also the operation capability of the voice device, that is, not only the external factor of the voice device but also the internal factor of the voice device, and finally the score of the comprehensive decision capability of the voice device can be calculated.

Specifically, the decision capability score for each voice device may be calculated using a second calculation formula comprising:

P1＝u*(d ² -1/y)

wherein P1 is the decision capability score; d is the average daily power-on time of the voice equipment in the past month; y is the CPU computing capacity of the voice equipment; u is the use mark of the family user on the voice equipment in the current season; if the home user uses the voice equipment in the current season, the corresponding use mark of the voice equipment is 1; if the home user is not applicable to the voice equipment in the current season, the corresponding use mark of the voice equipment 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 at this time, P1 is 0. And if the home user uses the voice device in the current season, the corresponding use of the voice device is marked 1, at which time p1=d ² -1/y. For example, some speech equipment such as speech air conditioner is not used in winter and is used only in summer.

Where d is the average daily power-on time of the voice device over the past month, which parameters both take into account the user's usage during the last period of time and reflect the average power-on time of each day. For example, a user turns on a voice television only at night during the past month, so that the average live time of the voice television during the past month is only a few hours. While the voice refrigerator is always in a charged state, the average daily charge time of the voice refrigerator in the past month is 24 hours. The parameter d is a key parameter, and the longer the electrification time of the voice equipment is, the more time the voice equipment can perform wake-up decision processing is, so that the occurrence of missing wake-up requests can be reduced. The larger d, the larger P1.

Where y represents the computing power of the voice device, e.g., the computing power of cpu. The calculation modes of the calculation capacities of different cpus are different, for example, some cpus measure the calculation capacity through word length, and some cpus measure the calculation capacity through double-precision floating point calculation capacity, and the calculation modes can be specifically determined according to the actual situation of the cpus. The larger y is, the larger P1 is, but y and P1 are not in direct proportion.

It can be seen that the second calculation formula can reflect the decision capability of a voice device very reasonably.

d3, taking the voice equipment with the highest decision capability score as the decision equipment.

In practice, after a decision device is determined in the manner described above, the decision device may be used to determine a responsive voice device. But if the decision device is powered down, other voice devices need to be replaced as decision devices. Of course, there may be situations where the previously determined decision device is not powered, at which time other voice devices may also need to be replaced as decision devices.

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

That is, the cloud platform detects whether the current decision device is charged according to the time interval, specifically, by detecting the heartbeat command, for example, the cloud platform sends a heartbeat command to the decision device every time interval, if the cloud platform can receive feedback information of the decision device, it indicates that the decision device is charged at the moment, and if the cloud platform cannot receive feedback information of the decision device, it indicates that the decision device is not charged at the moment.

If the current decision device is detected to be uncharged, other voice devices need to be replaced, and the voice device with the highest decision capability score is selected from all the charged voice devices to serve as the current decision device, so that the influence on wake-up processing caused by the fact that the decision device 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 the 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 work of the intelligent washing machine is directly controlled 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 is understood that although the weather is relatively 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 case of weather.

For another example, if the weather is rainy, the drying is not suitable, but the user sets the washing mode in which the drying function is not started, it may be that the user does not use the laundry to be washed urgently, or the drying function is not started based on the consideration of energy saving.

Under the condition that the weather is overcast and rainy days and the drying function is not started in a washing mode set by a user, because the drying is needed after the washing is finished, the intelligent clothes hanger is arranged on the basis of arranging a plurality of voice devices and cloud platforms in a whole space, and the intelligent clothes hanger is in communication connection with the cloud platforms. On the basis, intelligent airing can be realized through cooperative work among all the devices.

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

(1) Firstly, determining an optimal interaction device group corresponding to the position of a user in a whole space, selecting an intelligent household appliance from the optimal interaction device group as an inquiry device (for distinguishing, the inquiry device is called a second inquiry device, the inquiry device in S400 is called a first inquiry device), and then controlling the second inquiry device by a cloud platform to inquire whether the user needs to be aired or not in a voice broadcasting mode; if the user is determined to need to air according to the query result picked up by the second query device, controlling the intelligent clothes hanger to descend;

It is understood that if the intelligent washing machine is currently the end of washing, the washed laundry needs to be dried. Generally, a user does not keep the washing machine, but does other things while the washing machine is in operation. For example, a user cooks in a kitchen. In order to make the user clearly and accurately know that the washing machine is properly washed, one voice device of the kitchen can be selected as the second query device, for example, a refrigerator of the kitchen is used as the second query device, and the refrigerator of the kitchen informs the user of the washing completion and queries the user whether the user needs to air-dry. If the user sends out a voice of 'need to be dried' 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 can control the intelligent clothes hanger to descend.

(2) Then, selecting a voice device in the physical space of the intelligent clothes hanger, and controlling the voice device to enter an awake state; judging whether a voice command for lifting the clothes hanger sent by voice equipment in an awake state is received within a first preset time period for receiving the query result sent by the second query equipment; if the voice command for lifting the clothes hanger is received, controlling the intelligent clothes hanger to lift; the voice equipment entering the wake-up 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 sends a voice command for drying, the user takes out the clothes in the washing machine and hangs the clothes on the intelligent clothes hanger, and at this time, the user speaks "lift the clothes hanger". In order to pick up the voice command sent by the user, one voice device is required to be selected from the optimal interaction device group corresponding to the current position of the user, and is awakened, for example, one voice terminal on the balcony where the clothes hanger is located is awakened, and the awakened voice terminal can pick up the voice command sent by the user to lift the clothes hanger. The voice terminal sends the picked voice instruction to the cloud platform, and therefore the cloud platform can control the intelligent clothes hanger to be lifted.

For another example, the washing machine performs a washing operation in a laundry room, and the user reads a book in a master bedroom. If the washing machine is finished, the television of the master bedroom is determined to be the second inquiry device because the user is positioned in the master bedroom, so that the television of the master bedroom can send out voice for 'finishing washing, if the clothes need to be dried immediately', the user responds to 'good', after the television of the master bedroom picks up the inquiry result, the inquiry result is sent 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 walk out of the master bedroom, and hang the clothes washed by the washing machine on the clothes hanger. Meanwhile, the cloud platform also selects one voice device from the optimal interaction device group corresponding to the current position of the user and wakes up the voice device. The user sends out a voice 'long rainbow little white, the clothes hanger is lifted', the awakened voice equipment picks up the voice command and sends the voice command to the cloud platform, and the cloud platform can control the intelligent clothes hanger to lift after receiving the voice command.

(3) Then, 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 an intelligent household appliance from the optimal interaction equipment group as third inquiry equipment, wherein the third inquiry equipment is used for picking up intelligent airing instructions of users and sending the intelligent airing instructions to the cloud platform; judging whether an intelligent airing instruction sent by the third inquiry equipment is received 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 intensity 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 after the intelligent clothes hanger lifts to the top, the intelligent clothes hanger informs the cloud platform, so that the cloud platform can know that the intelligent clothes hanger has lifted 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 an intelligent household appliance from the optimal interaction device group as a third inquiry device, and wakes up the third inquiry device. For example, the user is in a laundry room, and the laundry machine in the laundry room is used as the third interrogation device. The awakened third interrogation device will pick up the voice command from the user. For example, the user says "long rainbow little white, 8 points in the morning sun-dried clothes", the third inquiry device picks up the voice command and sends the voice command to the cloud platform, and the cloud platform analyzes the voice command after receiving the voice command, so that the voice command is known to be an intelligent sun-dried command, and in order to ensure that the clothes can be sun-dried before 8 points in the morning, a hot drying function needs to be started. Therefore, the cloud platform can control the intelligent clothes hanger to start a hot baking function, and then control the third inquiry equipment to send out a voice for starting auxiliary hot work. And the hot drying intensity can be controlled according to the time length, the clothes are required to be dried before 8 points in the open time, the visible time is relatively short, and the hot drying intensity can be relatively high.

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 acquired 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 a clothes airing environment; and correcting the estimated airing time according to the temperature and humidity information, and sending the corrected estimated airing time to an application program for controlling the voice equipment in the whole space, so that the application program displays the change condition of the estimated airing time.

For example, if the temperature and humidity meet the weather conditions within 24 hours in the future, the airing time is not expected to change. If the temperature is high relative to the weather conditions at the corresponding time point in the future 24 hours, this indicates that the air-drying time is expected to be advanced. If the humidity is low relative to the weather conditions at the corresponding time point in the future 24 hours, this indicates that the predicted airing time will also be advanced. The predicted airing time is corrected in the mode, so that the predicted airing time is adjusted along with the change of the actual environment, and the predicted airing time accords with the actual situation.

When the user knows the predicted airing time, if the user needs to airing clothes before a certain time point, the user can initiate a wake-up request, for example, the user says "long rainbow little white", so that an intelligent household appliance in the optimal interaction equipment group corresponding to the position of the user can be woken up, and then the user says "open hot drying", so that the intelligent household appliance can pick up the section of voice and send the voice to the cloud platform, and the cloud platform controls the intelligent clothes hanger to open the hot drying function after receiving the section of voice. It can be seen that natural airing can also be converted into intelligent airing.

It can be understood that, in order to pick up the voice command sent by the user at each corner in the whole space of a household, a plurality of voice terminals are arranged, so that the union of the optimal pick-up ranges of the intelligent household appliance and the voice terminals can cover the whole space, and the problem that the user command is not responded because the user command is 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 one family can be formed. Through the mode, all voice equipment, intelligent clothes hangers and cloud platforms in the household can be interconnected, cooperative control is facilitated, and intelligent baking and washing are conveniently achieved.

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

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

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

It is to be understood that the apparatus provided in the second aspect and the method provided in the first aspect correspond, and explanation, examples, benefits and the like of the content in this aspect may refer to the content in the first aspect, which is not described herein.

In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for the device embodiments, since they are substantially similar to the method embodiments, the description is relatively simple, and reference is made to the description of the method embodiments in part.

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

The foregoing embodiments have been provided for the purpose of illustrating the general principles of the present invention in further detail, and are not to be construed as limiting the scope of the invention, but are merely intended to cover any modifications, equivalents, improvements, etc. based on the teachings of the invention.

Claims

1. The intelligent baking and washing control method is characterized in that voice equipment is distributed in the whole space of a household, the voice equipment comprises intelligent household appliances, a voice module in the intelligent household appliances has voice pickup and voice feedback functions, and each voice equipment is in communication connection with a cloud platform for controlling the voice equipment in the whole space; the intelligent household appliance comprises an intelligent washing machine;

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

acquiring weather information within 24 hours in the future;

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

if the two interaction equipment groups are not matched, determining an optimal interaction equipment group corresponding to the position of the user in the whole space; selecting an intelligent household appliance from the optimal interaction equipment group as an inquiry equipment; the inquiry equipment is controlled to inquire whether the user modifies the washing mode 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; the optimal interaction equipment group is a group formed by at least two voice equipment, wherein the group is determined in advance according to the position and the orientation of the user in the whole space when the user sends a voice instruction;

wherein, receive intelligent washing machine's washing mode, include: for each wake-up request, corresponding response voice equipment is determined according to the position of the user; the response voice device is one voice device in the whole space, and is used for picking up a voice command sent by a user after sending a wake-up request and sending the voice command to the cloud platform; receiving the washing mode sent by the response voice equipment;

The determining, for each wake-up request, a corresponding response voice device according to a location of a user includes: receiving notification information sent by decision-making equipment, wherein the notification information is used for notifying a cloud platform of response voice equipment determined by the decision-making equipment, and the decision-making equipment is an intelligent household appliance in the voice equipment;

when each voice device picks up a preset wake-up 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 or not; if yes, generating an election participation request according to the scoring value of the voice equipment, and sending the election participation request to decision equipment; the decision device selects one voice device from the voice devices sending the election participation requests as the response voice device according to the grading values in the election participation requests;

wherein each voice device has a corresponding scoring threshold, and the scoring threshold determining process includes: the cloud platform acquires the historical grading value of each voice device in the whole space; determining rule data of each voice device selected as a response voice device according to the historical grading value of the voice device, and setting a corresponding grading value threshold for the voice device according to the rule data; transmitting the scoring value threshold value of each voice device to the voice device; the historical grading value of one voice device is the grading value of the voice device after each wake-up word is picked up in a preset historical time period, the grading value is used for representing the probability of waking up the voice device by a user, and the rule data of one voice device is the corresponding historical grading value interval when the voice device is selected as the response voice device in the preset historical time period.

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

correspondingly, the controlling the inquiry device to inquire whether the user modifies the washing mode in a voice broadcasting mode comprises the following steps: and controlling the inquiry equipment to inquire whether the user cancels the drying function or not in a voice broadcasting mode.

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

correspondingly, the controlling the inquiry device to inquire whether the user modifies the washing mode in a voice broadcasting mode comprises the following steps: and controlling the inquiry equipment to inquire the user whether to add a drying function or not in a voice broadcasting mode.

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

The cloud platform acquires the position and the orientation of a user sending a preset wake-up word in the whole space in a history wake-up task; acquiring the sound intensity of each voice device picking up the preset wake-up word, and selecting a first voice device from the voice devices 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 pickup angles of the first voice devices; selecting a second voice device with a pick-up angle falling within an optimal pick-up angle range from the first voice devices according to the pick-up angles of the first voice devices; forming each of said second voice devices into an optimal set of interaction devices for said location and said orientation of the user.

5. The method of claim 1, wherein when the pick-up angle of a voice device is within a preset range, the voice device calculates the corresponding score value using a first calculation formula, the first calculation formula comprising:

When r is within 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 scoring value; s is sound intensity of pickup; r is the pick-up angle; the first range is: r is 60 or more and 80 or less, or r is 100 or more and 120 or less; 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 x a+b/10, and the preset range is the union of the first range and the second range.

6. The method of claim 1, wherein prior to 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 whole space;

determining whether the optimal interaction device group has a corresponding priority response device; the priority response device is an intelligent household appliance preset by a user aiming at the optimal interaction device group on an application program;

if the corresponding priority response equipment exists, determining whether the scoring value corresponding to the priority response equipment is higher than a preset scoring value; if the priority response equipment is higher than the preset scoring 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 decision equipment;

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

7. The method of claim 1, wherein the cloud platform calculates a decision capability score of each voice device in advance using a second calculation, and takes a voice device with the highest decision capability score as the decision device; the second calculation formula includes:

P1＝u*(d ² -1/y)

8. The intelligent baking and washing control device is characterized in that voice equipment is distributed in the whole space of a household, the voice equipment comprises intelligent household appliances, a voice module in the intelligent household appliances has voice pickup and voice feedback functions, and each voice equipment is in communication connection with a cloud platform for controlling the voice equipment in the whole space; the intelligent household appliance comprises an intelligent washing machine;

The device is located on a cloud platform, and the device comprises:

the first inquiry module is used for determining the optimal interaction equipment group corresponding to the position of the user in the whole space if the user is not matched with the first inquiry module; selecting an intelligent household appliance from the optimal interaction equipment group as an inquiry equipment; the inquiry equipment is controlled to inquire whether the user modifies the washing mode 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; the optimal interaction equipment group is a group formed by at least two voice equipment, wherein the group is determined in advance according to the position and the orientation of the user in the whole space when the user sends a voice instruction;

wherein the first receiving module includes:

The first unit is used for determining corresponding response voice equipment according to the position of the user for each wake-up request; the response voice device is one voice device in the whole space, and is used for picking up a voice command sent by a user after sending a wake-up request and sending the voice command to the cloud platform;

a second unit, configured to receive the washing mode sent by the answering voice device;

wherein the first unit is specifically configured to: receiving notification information sent by decision-making equipment, wherein the notification information is used for notifying a cloud platform of response voice equipment determined by the decision-making equipment, and the decision-making equipment is an intelligent household appliance in the voice equipment;