CN110836509A

CN110836509A - Household equipment control method and device, control equipment and readable storage medium

Info

Publication number: CN110836509A
Application number: CN201810942835.7A
Authority: CN
Inventors: 肖龙; 陈翀; 连圆圆; 秦萍; 马诗蓉; 冯德兵; 万会
Original assignee: Gree Electric Appliances Inc of Zhuhai
Current assignee: Gree Electric Appliances Inc of Zhuhai
Priority date: 2018-08-17
Filing date: 2018-08-17
Publication date: 2020-02-25

Abstract

The invention discloses a household equipment control method, a household equipment control device, control equipment and a readable storage medium, wherein the method comprises the following steps: acquiring first parameter adjustment data of the home equipment aiming at the home equipment installed in the acquired home environment, wherein the first parameter adjustment data comprises current indoor environment data and/or current outdoor environment data of the home equipment; inputting the first parameter adjustment data into a pre-trained equipment control model corresponding to the household equipment, and determining a target working parameter corresponding to the first parameter adjustment data based on the equipment control model; and controlling the working parameters of the household equipment to be adjusted to the target working parameters. According to the invention, accurate control of the air conditioner can be automatically realized, user operation is reduced, time is saved, and user experience is improved.

Description

Household equipment control method and device, control equipment and readable storage medium

Technical Field

The invention relates to the technical field of smart home, in particular to a home equipment control method, a home equipment control device, control equipment and a readable storage medium.

Background

A plurality of intelligent household devices can be installed in the household environment where the user is located generally, the same or different working effects can be achieved through different intelligent household devices, and the user can experience a comfortable household environment by adjusting the household devices.

However, in the prior art, the intelligent home devices are mainly controlled manually by the user when being adjusted, the intelligent home devices such as the air purifier need to be opened and adjusted according to the pollution degree of the external environment, the user cannot accurately know when the home devices should be opened, and cannot accurately know which parameters the home devices should be controlled to work with, so that the user cannot achieve better comfort level after once adjustment, multiple adjustments may be needed, and when the number of the installed intelligent home devices is large, the adjustment times of the user are increased, time waste and tedious operation are caused, and user experience is reduced.

Disclosure of Invention

The invention provides a household equipment control method, a household equipment control device, control equipment and a readable storage medium, which are used for solving the problems that in the prior art, manual adjustment operation of a user is complicated, time is wasted, and user experience is reduced.

The invention provides a household equipment control method, which is applied to control equipment and comprises the following steps:

acquiring first parameter adjustment data of the home equipment aiming at the home equipment installed in the acquired home environment, wherein the first parameter adjustment data comprises current indoor environment data and/or current outdoor environment data of the home equipment; inputting the first parameter adjustment data into a pre-trained equipment control model corresponding to the household equipment, and determining a target working parameter corresponding to the first parameter adjustment data based on the equipment control model; and controlling the working parameters of the household equipment to be adjusted to the target working parameters.

Further, before the obtaining of the first parameter adjustment data of the home equipment, the method further includes:

judging whether the household equipment is started in an intelligent mode or not;

if yes, the subsequent steps are carried out.

Further, if the household equipment comprises an air purifier, the first parameter adjustment data of the air purifier comprise current indoor air quality data and/or current outdoor air quality data;

if the household equipment comprises an air conditioner, the first parameter adjustment data of the air conditioner comprise current indoor temperature data and current outdoor temperature data;

if the household equipment comprises a dehumidifier, first parameter adjustment data of the dehumidifier comprise current indoor humidity data and/or current outdoor humidity data;

if the household equipment comprises the humidifier, the first parameter adjustment data of the humidifier comprises current indoor humidity data and/or current outdoor humidity data;

if the household equipment comprises the air inlet device, the first parameter adjustment data of the air inlet device comprises at least one of current outdoor temperature data, current outdoor humidity data, current outdoor wind speed data, current outdoor air quality data and current outdoor weather condition data, wherein the air inlet device comprises a window and/or an air inlet machine.

Further, if the household equipment comprises an air purifier, the working parameters of the air purifier comprise working gears;

if the household equipment comprises an air conditioner, the working parameters of the air conditioner comprise a working mode and a working temperature;

if the household equipment comprises a dehumidifier, the working parameters of the dehumidifier comprise a dehumidification gear;

if the household equipment comprises the humidifier, the working parameters of the humidifier comprise humidification gears;

if the household equipment comprises the air inlet device, the air inlet device comprises a window, and the working parameter of the window comprises the windowing amplitude;

if the household equipment comprises the air inlet device, the air inlet device comprises an air inlet machine, and the working parameters of the air inlet machine comprise the rotating speed and/or the power of the fan.

Further, if the first parameter adjustment data of the air intake device includes current outdoor weather condition data, after the first parameter adjustment data of the household equipment is acquired, before the working parameter of the household equipment is controlled to be adjusted to the target working parameter, the method further includes:

judging whether the current weather condition data is contained in a pre-stored extreme weather condition set or not;

if so, determining that the target working state of the air inlet device is prohibited to be started, and updating the target working parameters by adopting the working parameters corresponding to the target working state prohibited to be started.

Further, the acquiring the current outdoor weather condition data includes:

inputting at least one of the obtained current outdoor temperature data, current outdoor humidity data, current outdoor wind speed data and current outdoor air quality data into a weather condition determination model which is trained in advance, and determining the current outdoor weather condition data based on the weather condition determination model.

Further, the training process of the weather condition determination model comprises:

for each sample weather data in the training set, acquiring marked sample outdoor weather condition data corresponding to each sample weather data, wherein the sample weather data comprises at least one of sample outdoor temperature data, sample outdoor humidity data, sample outdoor wind speed data and sample outdoor air quality data;

and inputting the obtained sample weather data and sample outdoor weather condition data corresponding to the sample weather data into a weather condition determination model, and training the weather condition determination model.

Further, the training process of the equipment control model corresponding to the household equipment comprises:

aiming at each second parameter adjustment data of home equipment in a training set, obtaining a marked sample working parameter corresponding to each second parameter adjustment data, wherein the second parameter adjustment data comprises sample indoor environment data and/or sample outdoor environment data;

and inputting the obtained second parameter adjustment data and the sample working parameters corresponding to the second parameter adjustment data into an equipment control model, and training the equipment control model corresponding to the household appliance.

Further, the method further comprises:

and sending the target working parameters of the household equipment to the user terminal.

Further, the method further comprises:

judging whether a working parameter adjusting instruction of a user is received, wherein the working parameter adjusting instruction carries an adjusted first working parameter of the household equipment or the current comfort level information of the user;

and if so, correcting the equipment control model corresponding to the household equipment according to the working parameter adjusting instruction.

Further, if the current comfort level information of the user is carried in the working parameter adjustment instruction, modifying the equipment control model corresponding to the household equipment according to the working parameter adjustment instruction includes:

determining a second working parameter of the household equipment after adjustment corresponding to the comfort level information according to the comfort level information and a corresponding relation between the pre-stored comfort level information and the working parameter adjustment;

and correcting the equipment control model corresponding to the household equipment according to the adjusted second working parameter of the household equipment.

The invention provides a household equipment control device, which is applied to control equipment and comprises:

the system comprises an acquisition module, a processing module and a control module, wherein the acquisition module is used for acquiring first parameter adjustment data of home equipment aiming at the home equipment installed in the acquired home environment, and the first parameter adjustment data comprises current indoor environment data and/or current outdoor environment data of the home equipment;

the determining module is used for inputting the first parameter adjusting data into a pre-trained equipment control model corresponding to the household equipment, and determining a target working parameter corresponding to the first parameter adjusting data based on the equipment control model;

and the control module is used for controlling the working parameters of the household equipment to be adjusted to the target working parameters.

Further, the apparatus further comprises:

the judging module is used for judging whether the intelligent mode of the household equipment is started; if yes, triggering the acquisition module.

Further, if the first parameter adjustment data of the air intake device includes current outdoor weather condition data, the device further includes:

the updating module is used for judging whether the pre-stored extreme weather condition set contains the current weather condition data or not; if so, determining that the target working state of the air inlet device is prohibited to be started, and updating the target working parameters by adopting the working parameters corresponding to the target working state prohibited to be started.

Further, the obtaining module is specifically configured to input at least one of the obtained current outdoor temperature data, the obtained current outdoor humidity data, the obtained current outdoor wind speed data, and the obtained current outdoor air quality data into a weather condition determination model that is trained in advance, and determine the current outdoor weather condition data based on the weather condition determination model.

Further, the apparatus further comprises:

the first training module is used for acquiring marked sample outdoor weather condition data corresponding to each sample weather data aiming at each sample weather data in a training set, wherein the sample weather data comprises at least one of sample outdoor temperature data, sample outdoor humidity data, sample outdoor wind speed data and sample outdoor air quality data; and inputting the obtained sample weather data and sample outdoor weather condition data corresponding to the sample weather data into a weather condition determination model, and training the weather condition determination model.

Further, the apparatus further comprises:

the second training module is used for acquiring marked sample working parameters corresponding to each second parameter adjustment data aiming at each second parameter adjustment data of home equipment in a training set, wherein the second parameter adjustment data comprise sample indoor environment data and/or sample outdoor environment data; and inputting the obtained second parameter adjustment data and the sample working parameters corresponding to the second parameter adjustment data into an equipment control model, and training the equipment control model corresponding to the household appliance.

Further, the apparatus further comprises:

and the sending module is used for sending the target working parameters of the household equipment to the user terminal.

Further, the apparatus further comprises:

the correction module is used for judging whether a working parameter adjusting instruction of a user is received, wherein the working parameter adjusting instruction carries the adjusted first working parameter of the household equipment or the current comfort level information of the user; and if so, correcting the equipment control model corresponding to the household equipment according to the working parameter adjusting instruction.

Further, if the working parameter adjustment instruction carries the current comfort level information of the user, the modification module is specifically configured to determine, according to the comfort level information and a correspondence relationship between pre-stored comfort level information and working parameter adjustment, an adjusted second working parameter of the home equipment corresponding to the comfort level information; and correcting the equipment control model corresponding to the household equipment according to the adjusted second working parameter of the household equipment.

The present invention provides a control apparatus including: the system comprises a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory complete mutual communication through the communication bus;

the memory has stored therein a computer program which, when executed by the processor, causes the processor to perform the steps of any of the methods described above.

The present invention provides a computer-readable storage medium storing a computer program executable by a control apparatus, the program, when run on the control apparatus, causing the control apparatus to perform the steps of any of the methods described above.

The invention provides a household equipment control method, a household equipment control device, control equipment and a readable storage medium, wherein the method comprises the following steps: acquiring first parameter adjustment data of the home equipment aiming at the home equipment installed in the acquired home environment, wherein the first parameter adjustment data comprises current indoor environment data and/or current outdoor environment data of the home equipment; inputting the first parameter adjustment data into a pre-trained equipment control model corresponding to the household equipment, and determining a target working parameter corresponding to the first parameter adjustment data based on the equipment control model; and controlling the working parameters of the household equipment to be adjusted to the target working parameters. The control equipment can acquire the current indoor environment data and/or the current outdoor environment data of the household equipment, determine the target working parameters of the household equipment based on the pre-trained equipment control model, and control the working parameters of the household equipment to be adjusted to the target working parameters, so that the accurate control of the air conditioner can be automatically realized, the user operation is reduced, the time is saved, and the user experience is improved.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.

Fig. 1 is a schematic diagram of a home device control process provided in embodiment 1 of the present invention;

fig. 2 is a schematic diagram of an apparatus control provided in embodiment 2 of the present invention;

fig. 3 is a schematic diagram of training an apparatus control model according to embodiment 5 of the present invention;

fig. 4 is a schematic diagram of a home appliance control process according to embodiment 7 of the present invention;

fig. 5 is a schematic structural diagram of a control device according to embodiment 8 of the present invention;

fig. 6 is a schematic diagram of a household device control apparatus according to an embodiment of the present invention.

Detailed Description

In order to reduce user operation time and improve user experience, the embodiment of the invention provides a household equipment control method, a household equipment control device, household equipment control equipment and a readable storage medium.

In order to make the objects, technical solutions and advantages of the present invention clearer, the present invention will be described in further detail with reference to the accompanying drawings, and it is apparent that the described embodiments are only a part of the embodiments of the present invention, not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

Example 1:

fig. 1 is a schematic diagram of a home device control process provided in an embodiment of the present invention, where the process includes the following steps:

s101: the method comprises the steps of acquiring first parameter adjustment data of home equipment aiming at the home equipment installed in the acquired home environment, wherein the first parameter adjustment data comprises current indoor environment data and/or current outdoor environment data of the home equipment.

The home equipment control method provided by the embodiment of the invention is applied to control equipment, and the control equipment can be a terminal, home equipment and the like as long as the control equipment has higher computing capability and network communication capability. If the control device is a terminal, the control device may be a user terminal, an intelligent gateway, a server, or the like, and if the control device is a home device itself, the control device may be any home device installed in a home environment.

The control device may obtain the home equipment installed in the home environment, specifically, if the control device is a terminal, the control device may obtain the home equipment located in the same lan environment as the control device in an intelligent gateway or a server, and determine the obtained home equipment as the home equipment installed in the home environment, and if the control device is the home equipment itself, the control device may directly determine the home equipment connected to the control device as the home equipment installed in the home environment. The number of the home devices installed in the home environment acquired by the control device may be one or more, and each home device installed in the home environment is generally acquired.

After the control device acquires the household equipment installed in the household environment, first parameter adjustment data of the household equipment can be acquired for the acquired household equipment, the first parameter adjustment data of the household equipment acquired by the control device can be acquired through a data acquisition module, the data acquisition module can be composed of sensors, the first parameter adjustment data comprise current indoor environment data and/or current outdoor environment data where the household equipment is located, and the current indoor environment data acquired by the control device can be acquired according to the sensors installed indoors. The current outdoor environment data acquired by the control device may be acquired according to an outdoor sensor, or may be queried by the control device in a server.

The first parameter adjustment data specifically includes what kind of data is related to the type of the home equipment corresponding to the first parameter adjustment data.

If the household equipment comprises an air purifier, the first parameter adjustment data of the air purifier comprise current indoor air quality data and/or current outdoor air quality data;

if the household equipment comprises the air inlet device, the first parameter adjustment data of the air inlet device comprises at least one of current outdoor temperature data, current outdoor humidity data, current outdoor wind speed data, current outdoor air quality data and current outdoor weather condition data, wherein the air inlet device comprises a window and/or an air inlet machine. The outdoor weather condition may be one or more of a high or low level of outdoor temperature, a high or low level of outdoor wind speed, a good level of outdoor air quality, typhoon weather, heavy rain and snow weather, and the like.

If the control device only controls a certain household device, the first parameter adjustment data only comprises first parameter adjustment data corresponding to the household device, and if the control device controls a plurality of household devices, the first parameter adjustment data comprises first parameter adjustment data corresponding to each household device in the plurality of household devices.

S102: and inputting the first parameter adjustment data into a pre-trained equipment control model corresponding to the household equipment, and determining target working parameters corresponding to the first parameter adjustment data based on the equipment control model.

The pre-trained equipment control model corresponding to the household equipment is stored in the control equipment, so that the control equipment can determine target working parameters corresponding to the first parameter adjustment data according to the acquired first parameter adjustment data of the household equipment and based on the equipment control model corresponding to the household equipment, and control over the household equipment is achieved.

The equipment control model that this training that home equipment corresponds was accomplished can be for the equipment control model that learns in advance according to user's use in the home environment, can be for the equipment control model of confirming under the big data analysis, can be for the equipment control model etc. after using real-time correction according to the user.

The corresponding device control models stored for each piece of home equipment in the control device may be the same or different, and if the corresponding device control models stored for each piece of home equipment are the same, only one device control model may be stored for each piece of home equipment in the control device.

After the control device obtains the first parameter adjustment data of the home device, the first parameter adjustment data may be input into an device control model corresponding to the home device, and preferably, in order to eliminate interference caused by factors such as abnormal interference and data unit difference, before the control device inputs the first parameter adjustment data into the device control model, the control device may perform preprocessing processes such as linear processing such as normalization and the like, nonlinear processing such as logarithmic transformation, square root transformation, cubic root and the like, and data abnormal processing and the like on the first parameter adjustment data, and input the preprocessed first parameter adjustment data into the device control model.

The target working parameters output by the equipment control model are related to the types of household equipment.

If the household equipment comprises the air purifier, the working parameters of the air purifier comprise working gears;

if the household equipment comprises the air inlet device, the air inlet device comprises a window, and the working parameter of the window comprises the windowing amplitude; the control device may control the opening degree of the electronic expansion valve when controlling the window opening amplitude of the window.

The process of obtaining the first parameter adjustment data and determining the target operating parameter may be considered to be performed by a central processing module of the control device.

S103: and controlling the working parameters of the household equipment to be adjusted to the target working parameters.

The control equipment can control the working parameters of the household equipment to be adjusted to the target working parameters according to the target working parameters, so that the household equipment is controlled.

When the control device controls the household device according to the target working parameter, whether the household device is turned on or off can be controlled, and the household device is turned on according to the working parameter. Specifically, the control device may send a corresponding control signal to the home device, and after receiving the corresponding control signal, the home device adjusts its working parameters to make the indoor environment achieve a comfortable environment. Because the first parameter adjustment data is collected in real time, if the user sets a target value or a feedback comfort condition, the control device can obtain the target value or the feedback comfort condition set by the user when obtaining the current indoor environment data and/or the current outdoor environment data, and the indoor environment can further reach the comfort environment set by the user.

When the control equipment controls a plurality of household equipment installed in the household environment of the user, the household equipment can work together, and the problems that the user does not know when to use the household equipment after purchasing the household equipment and does not know how to control and the like in manual operation of the user are solved. For example, when the plurality of household devices comprise the air purifier, the air purifier consumes electricity very much when being opened for a long time, particularly at night, the external air quality and environment reach the environment condition that people feel comfortable and healthy, the air purifier and other environment control type electric appliances are turned on very much to waste energy, and the air purifier can be controlled to realize high-efficiency and energy-saving control; when these a plurality of house equipment include air conditioner and hot blast blowpipe apparatus, with the air conditioner with the ventilation is linked together, when the indoor temperature that outdoor temperature and air conditioner air supply caused differs little, can combine current indoor environment data and current outdoor environment data, the operating condition of air conditioner and hot blast blowpipe apparatus is adjusted, so both reached user's comfort level requirement and realized energy-conserving effect, and for comparatively sealed environment when using the air conditioner, under the environment of same temperature, the user can be more inclined to the condition of natural draft, also can effectively reduce the condition such as the cold that the air conditioner leads to for a long time blows for this way and the air conditioner is parallel.

The control equipment and the household equipment in the embodiment of the invention can be considered to form an intelligent linkage type household equipment control system, and the control of indoor environment health and comfort is well realized through the set of control system, so that the household equipment is more efficient, energy-saving and convenient to use, and especially when the household equipment comprises an air purifier, the opening adjustment can be automatically realized.

According to the embodiment of the invention, the control equipment can acquire the current indoor environment data and/or the current outdoor environment data of the household equipment, determine the target working parameters of the household equipment based on the pre-trained equipment control model, and control the working parameters of the household equipment to be adjusted to the target working parameters, so that the accurate control of the air conditioner can be automatically realized, the user operation is reduced, the time is saved, and the user experience is improved.

Example 2:

on the basis of the foregoing embodiment, in an embodiment of the present invention, before the obtaining the first parameter adjustment data of the home device, the method further includes:

if yes, the subsequent steps are carried out.

When a user uses the household equipment, if the user opens the intelligent mode of the household equipment, the control equipment can automatically acquire first parameter adjustment data of the household equipment and determine target working parameters of the household equipment based on the equipment control model, so that automatic control over the household equipment is realized, and user experience is further improved.

If the home equipment starts the intelligent mode by the user, the home equipment can send information that the intelligent mode is started by the user to the control equipment to inform the control equipment that the intelligent mode is started by the home equipment.

Of course, the working parameters of the home equipment in the non-intelligent mode or the intelligent mode can be manually adjusted by the user, at this time, the home equipment can send the working parameters manually adjusted by the user to the control equipment, and the control equipment corrects the trained equipment control model according to the working parameters manually adjusted by the user.

When the household equipment is in the intelligent mode, a schematic diagram of the control equipment for controlling the household equipment is shown in fig. 2, the control equipment controls a plurality of household equipment, the obtained first parameter adjustment data comprise indoor environment temperature, namely current indoor temperature data, outdoor environment temperature, namely current outdoor temperature data, outdoor environment humidity, namely current outdoor humidity data, indoor environment humidity, namely current indoor humidity data, window external air volume level, namely current outdoor air volume data, weather conditions and current weather condition data, outdoor air quality, namely current outdoor air quality data, a user set target value and a user feedback comfort condition, the pre-trained equipment control model is a neural network algorithm, the obtained first parameter adjustment data are input into the neural network algorithm, and then target windowing amplitude, window opening amplitude and window opening degree for controlling window opening degree are output, The system comprises a target working mode and a target working temperature for controlling the working state of an air conditioner, a target working gear for controlling the working state of an air purifier, a target dehumidifying gear for controlling the working state of a dehumidifier and a target humidifying gear for controlling the working state of a humidifier by a user.

According to the embodiment of the invention, the automatic control of the household equipment can be realized in an intelligent mode, and the user experience is further improved.

Example 3:

on the basis of the foregoing embodiments, in an embodiment of the present invention, if the first parameter adjustment data of the air intake device includes current outdoor weather condition data, after the first parameter adjustment data of the home equipment is acquired, before the operating parameter for controlling the home equipment is adjusted to the target operating parameter, the method further includes:

Because the equipment control model has randomness, the air inlet device is opened in a smaller range as a result of possible input under extreme weather conditions such as storm, heavy haze and the like, but the window opening is very unsafe under the extreme weather conditions, so that a decision tree algorithm can be adopted firstly to identify whether the extreme weather conditions exist, and the reliability and the safety of controlling the household equipment are improved.

The extreme weather condition set is pre-stored in the control device, and the extreme weather condition set pre-stored in the control device may be set by a user through a terminal and may be obtained after big data analysis.

The outdoor environment data acquired by the control device includes current outdoor weather condition data, so that the control device can determine whether the extreme weather condition set includes the acquired current weather condition data, that is, whether the determined current weather condition is an extreme weather condition.

If the current weather condition data is not included in the extreme weather condition set, the current weather condition is not the extreme weather condition, and the control equipment can control the air inlet device according to the target working parameters of the air inlet device determined based on the equipment control model.

If the extreme weather condition set contains the current weather condition data, the current weather condition is the extreme weather condition, and the control device can set the target working state of the air inlet device as the prohibition of opening in order to ensure the safety under the extreme weather condition, so that the air inlet device is prohibited to be opened. The control device updates the target working parameters according to the working parameters corresponding to the target working state which is forbidden to be started, and controls the air inlet device not to be started when the control device determines that the air inlet device is forbidden to be started or closed according to the updated target working parameters.

Specifically, the judgment of whether the extreme weather condition set contains the weather condition data may be performed according to a decision tree algorithm, where the decision tree algorithm may compare the weather condition data with each extreme weather condition in the extreme weather condition set in sequence, and when there is an extreme weather condition that matches the weather condition data, it is determined not to turn on the air intake device; and when the extreme weather condition which is in accordance with the weather condition does not exist, controlling the air inlet device according to the target working parameters output by the equipment control model.

The decision tree algorithm is adopted in the embodiment of the invention to identify whether the extreme weather condition exists, and when the extreme weather condition exists, the air inlet device is closed and outdoor air is not introduced, so that the reliability and the safety of controlling the household equipment are improved.

Example 4:

on the basis of the foregoing embodiments, in the embodiments of the present invention, the acquiring current outdoor weather condition data includes:

The training process of the weather condition determination model comprises the following steps:

Because the current outdoor weather condition data determined according to the weather forecast does not have real-time performance, the real-time outdoor weather condition data can be obtained according to the current weather data acquired in real time and the trained weather condition determination model, and therefore whether extreme weather conditions exist or not can be judged more accurately.

The current acquired weather data may include at least one of current outdoor temperature data, current outdoor humidity data, current outdoor wind speed data, and current outdoor air quality data, and in order to accurately determine the current outdoor weather condition data, the current acquired current weather data may include each of the current outdoor temperature data, the current outdoor humidity data, the current outdoor wind speed data, and the current outdoor air conditioner quality data.

The current outdoor weather condition data determined by the control device may be various weather condition data such as a current outdoor air quality level, whether the current outdoor air quality level is haze weather, a current outdoor temperature level, whether the current outdoor air quality level is typhoon weather, and the like.

The weather condition determination model in the embodiment of the invention can be a model based on neural network training.

Specifically, the training set contains a large amount of sample weather data, the sample weather data contained in the training set is a sample used for model training, and for each sample weather data in the training set, the control device obtains marked sample outdoor weather condition data corresponding to the sample weather data.

The current outdoor temperature data, the current outdoor humidity data, the current outdoor wind speed data and the current outdoor air quality data included in the current weather data to be acquired are consistent with the sample outdoor temperature data, the sample outdoor humidity data, the sample outdoor wind speed data and the sample outdoor air quality data included in the sample weather data during training, and if the sample weather data includes the sample outdoor temperature data, the sample outdoor humidity data, the sample outdoor wind speed data and the sample outdoor air quality data, the current weather data in the trained weather condition determination model is input and also includes the current outdoor temperature data, the current outdoor humidity data, the current outdoor wind speed data and the current outdoor air quality data.

The process of inputting sample data into the model to train the model can be realized by adopting the prior art, and details are not repeated in the embodiment of the invention.

According to the embodiment of the invention, the weather condition determination model is trained, so that whether extreme weather conditions exist can be judged more accurately.

Example 5:

on the basis of the above embodiments, in the embodiments of the present invention, the training process of the device control model corresponding to the household device includes:

The equipment control model corresponding to the household equipment in the embodiment of the invention can be a model finished based on neural network training.

Specifically, the training set includes a large amount of second parameter adjustment data of the home equipment, the second parameter adjustment data included in the training set are samples used for model training, and for each piece of the second parameter adjustment data in the training set, the control device obtains a sample working parameter of the marked home equipment corresponding to the second parameter adjustment data.

The second parameter adjustment data includes sample indoor environment data and/or sample outdoor environment data, the first parameter adjustment data corresponding to the home equipment that needs to be acquired when the home equipment is controlled should be consistent with the data type included in the second parameter adjustment data in the training set of the equipment control model corresponding to the home equipment when the home equipment is trained, and if the sample outdoor environment data of the second parameter adjustment data in the training set includes sample outdoor air quality data when the equipment control model is trained, the current outdoor environment data in the first parameter adjustment data that needs to be acquired when the home equipment is controlled should also include current outdoor air quality data.

And inputting the acquired second parameter adjustment data and the sample working parameters of the household equipment into an equipment control model, and training the equipment control model corresponding to the household equipment.

As shown in fig. 3, which is a schematic diagram for training an equipment control model according to an embodiment of the present invention, second parameter adjustment data of an input layer includes indoor environment temperature, i.e., sample indoor temperature data, outdoor environment temperature, i.e., sample outdoor temperature data, outdoor environment humidity, i.e., sample outdoor humidity data, indoor environment humidity, i.e., sample indoor humidity data, window external air volume level, i.e., sample outdoor air volume data, weather condition, i.e., current weather condition data, outdoor air quality, i.e., sample outdoor air quality data, a user-set target value, and a user feedback comfort condition, the equipment control model to be trained includes a hidden layer, the hidden layer includes a plurality of hidden nodes, i.e., a hidden node number 1, a hidden node number 2, a hidden node number n, and the like, and after data of the input layer is input into the plurality of hidden nodes in the hidden layer, a sample windowing amplitude for controlling a, The sample working mode and the sample working temperature for controlling the working state of the air conditioner, the sample working gear for controlling the working state of the air purifier, the sample dehumidifying gear for controlling the working state of the dehumidifier and the sample humidifying gear for controlling the working state of the humidifier by a user can train parameters in the hidden layer through the acquired second parameter adjustment data and the sample working parameters corresponding to the second parameter adjustment data, so that the trained equipment control model is obtained.

According to the embodiment of the invention, the equipment control model is trained, so that the accurate control of the household equipment can be realized according to the trained equipment control model when the household equipment is controlled.

Example 6:

on the basis of the above embodiments, in the embodiment of the present invention, the method further includes:

After determining the target working parameters of the household equipment, the control equipment sends the target working parameters of the household equipment to the user terminal, and a user can monitor the working state of the household equipment in real time through the user terminal.

At this time, the user terminal can be understood as a detection module, and data interaction between the user terminal and the control device can be realized through a TCP/IP network communication protocol, a Bluetooth communication protocol or a ZigBee communication protocol.

In addition, the user terminal can also provide an interactive interface with the user, so that the user can manually control the household equipment through the user terminal, and the user experience is further improved.

Of course, besides the target working parameters corresponding to the home equipment, the acquired first parameter adjustment data can be sent to the user terminal for display, so that the user can further conveniently control the home equipment according to the current environment data.

Example 7:

If the current comfort level information of the user is carried in the working parameter adjusting instruction, the correcting the equipment control model corresponding to the household equipment according to the working parameter adjusting instruction comprises the following steps:

After the control equipment controls the household equipment according to the corresponding target working parameters, the user can adjust the working parameters of the household equipment according to the self requirements and habits, and the user can directly adopt the remote controller of the household equipment to control the household equipment or can adopt the user terminal to control the household equipment in real time.

If the adjustment is needed, the user can carry out working parameter adjustment operation on the household equipment, the working parameter adjustment instruction corresponding to the working parameter adjustment operation carries the first working parameter after adjustment or the current comfort level information of the user, the control equipment corrects the equipment control model corresponding to the household equipment stored at present according to the received working parameter adjustment instruction, so that the corrected equipment control model is enabled, when the household equipment is controlled, the use requirement of the user can be better met, and a more comfortable environment is provided for the user.

And if the intelligent mode is not started by the household equipment, the terminal equipment can correct the equipment control model corresponding to the household equipment in real time according to the manual setting of the user.

Specifically, if the working parameter adjustment instruction carries the adjusted first working parameter of the home equipment, the control equipment corrects the equipment control model corresponding to the home equipment according to the adjusted first working parameter when correcting the equipment control model.

If the working parameter adjustment instruction carries current comfort level information of the user, if the comfort level information can be different degrees of cold or heat felt by the user, the control equipment determines two adjusted working parameters corresponding to the comfort level information according to the comfort level information and a corresponding relation of prestored comfort level information and working parameter adjustment, if the corresponding relation is temperature adjustment step lengths corresponding to the cold or heat of different degrees, and the like, and corrects an equipment control model corresponding to the household equipment according to the second adjusted working parameter of the household equipment.

The above embodiments are described below with a specific embodiment, at this time, the device control models corresponding to the home devices installed in the home environment are the same model, and as shown in fig. 4, the mode is turned on, that is, the smart mode of the home devices is turned on.

The data acquisition module acquires data, namely the sensor acquires current indoor environment data and/or current outdoor environment data required by the household equipment, and if a working parameter adjustment instruction of a user exists, the adjusted target working parameter set by the user or feedback comfort information also needs to be acquired.

And loading the latest model in the model service, namely acquiring the currently stored equipment control model after training, and correcting the equipment control model by online repeated learning when a working parameter adjusting instruction of a user exists.

The decision tree excludes the extreme case if it is checked whether there is an acquired outdoor weather condition in the set of extreme weather conditions.

After data acquisition, the data flow nodes subjected to data preprocessing are input to a network, the acquired data are preprocessed, and the preprocessed data are input into an equipment control model.

And adjusting the running states of the fresh air fan and the air purifier, namely adjusting the household equipment comprising the fresh air fan and the air purifier according to the corresponding target working parameters in the output result of the equipment control model.

Judging whether the current temperature reaches the temperature set by a user or not according to the collected preprocessed data nodes, namely whether correction is needed according to the temperature set by the user or not; if yes, continuing to acquire data and correcting the model; if not, judging whether the intelligent modes of the air conditioner and the air inlet device are closed or not;

if yes, storing the model after on-line training to a model database, namely storing the latest equipment control model. If not, sending a control instruction to the air purifier and the fresh air fan, and adjusting operation parameters, such as adjusting the rotating speed of the fan, adjusting the opening of the electronic expansion valve, increasing the power of the fresh air fan and the like.

Example 8:

on the basis of the above embodiments, an embodiment of the present invention further provides a control device 500, as shown in fig. 5, including: the system comprises a processor 501, a communication interface 502, a memory 503 and a communication bus 504, wherein the processor 501, the communication interface 502 and the memory 503 are communicated with each other through the communication bus 504;

the memory 503 has stored therein a computer program which, when executed by the processor 501, causes the processor 501 to perform the steps of:

The household equipment control method provided by the embodiment of the invention is applied to control equipment.

The communication bus mentioned in the above control device may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The communication bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown, but this does not mean that there is only one bus or one type of bus.

The communication interface 502 is used for communication between the control device and other devices.

The Memory may include a Random Access Memory (RAM) or a Non-Volatile Memory (NVM), such as at least one disk Memory. Alternatively, the memory may be at least one memory device located remotely from the processor.

The processor may be a general-purpose processor, including a central processing unit, a Network Processor (NP), and the like; but may also be a Digital instruction processor (DSP), an application specific integrated circuit, a field programmable gate array or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or the like.

In the embodiment of the invention, when the processor executes the program stored in the memory, the current indoor environment data and/or the current outdoor environment data of the household equipment are/is obtained, the target working parameters of the household equipment are determined based on the pre-trained equipment control model, and the working parameters of the household equipment are controlled to be adjusted to the target working parameters, so that the accurate control of the air conditioner can be automatically realized, the user operation is reduced, the time is saved, and the user experience is improved.

Example 9:

on the basis of the foregoing embodiments, an embodiment of the present invention further provides a computer storage readable storage medium, in which a computer program executable by a control apparatus is stored, and when the program is run on the control apparatus, the control apparatus is caused to execute the following steps:

The computer readable storage medium may be any available medium or data storage device that can be accessed by a processor in the control device, including but not limited to magnetic memory such as floppy disks, hard disks, magnetic tape, magneto-optical disks (MO), etc., optical memory such as CDs, DVDs, BDs, HVDs, etc., and semiconductor memory such as ROMs, EPROMs, EEPROMs, nonvolatile memories (NANDFLASH), Solid State Disks (SSDs), etc.

The computer-readable storage medium provided in the embodiment of the present invention stores a computer program, and when the computer program is executed by a processor, the computer program implements acquisition of current indoor environment data and/or current outdoor environment data including home equipment, determines a target working parameter of the home equipment based on a pre-trained equipment control model, and controls the working parameter of the home equipment to be adjusted to the target working parameter, thereby automatically implementing accurate control of an air conditioner, reducing user operations, saving time, and improving user experience.

Fig. 6 is a schematic diagram of a home device control apparatus 600 provided in an embodiment of the present invention, which is applied to a control device, and the apparatus includes:

an obtaining module 601, configured to obtain first parameter adjustment data of a home device installed in an obtained home environment, where the first parameter adjustment data includes current indoor environment data and/or current outdoor environment data where the home device is located;

a determining module 602, configured to input the first parameter adjustment data into a pre-trained equipment control model corresponding to the home equipment, and determine a target working parameter corresponding to the first parameter adjustment data based on the equipment control model;

and the control module 603 is configured to control the working parameter of the home device to be adjusted to the target working parameter.

The device further comprises:

a judging module 604, configured to judge whether the home device has started an intelligent mode; if yes, the acquiring module 601 is triggered.

If the first parameter adjustment data of the air inlet device comprises current outdoor weather condition data, the device further comprises:

an update module 605, configured to determine whether the pre-stored extreme weather condition set includes the current weather condition data; if so, determining that the target working state of the air inlet device is prohibited to be started, and updating the target working parameters by adopting the working parameters corresponding to the target working state prohibited to be started.

The obtaining module 601 is specifically configured to input at least one of the obtained current outdoor temperature data, the current outdoor humidity data, the current outdoor wind speed data, and the current outdoor air quality data into a weather condition determination model that is trained in advance, and determine the current outdoor weather condition data based on the weather condition determination model.

The device further comprises:

a first training module 606, configured to obtain labeled sample outdoor weather condition data corresponding to each sample weather data for each sample weather data in a training set, where the sample weather data includes at least one of sample outdoor temperature data, sample outdoor humidity data, sample outdoor wind speed data, and sample outdoor air quality data; and inputting the obtained sample weather data and sample outdoor weather condition data corresponding to the sample weather data into a weather condition determination model, and training the weather condition determination model.

The device further comprises:

the second training module 607 is configured to obtain, for each second parameter adjustment data of the home equipment in the training set, a labeled sample working parameter corresponding to each second parameter adjustment data, where the second parameter adjustment data includes sample indoor environment data and/or sample outdoor environment data; and inputting the obtained second parameter adjustment data and the sample working parameters corresponding to the second parameter adjustment data into an equipment control model, and training the equipment control model corresponding to the household appliance.

The device further comprises:

the sending module 608 is configured to send the target operating parameter of the home device to the user terminal.

The device further comprises:

a correcting module 609, configured to determine whether a working parameter adjustment instruction of a user is received, where the working parameter adjustment instruction carries an adjusted first working parameter of the home device or current comfort information of the user; and if so, correcting the equipment control model corresponding to the household equipment according to the working parameter adjusting instruction.

If the working parameter adjustment instruction carries the current comfort level information of the user, the modification module 609 is specifically configured to determine, according to the comfort level information and a correspondence relationship between pre-stored comfort level information and working parameter adjustment, an adjusted second working parameter of the home equipment corresponding to the comfort level information; and correcting the equipment control model corresponding to the household equipment according to the adjusted second working parameter of the household equipment.

According to the embodiment of the invention, the current indoor environment data and/or the current outdoor environment data of the household equipment are obtained, the target working parameters of the household equipment are determined based on the pre-trained equipment control model, and the working parameters of the household equipment are controlled to be adjusted to the target working parameters, so that the accurate control of the air conditioner can be automatically realized, the user operation is reduced, the time is saved, and the user experience is improved.

For the system/apparatus embodiments, since they are substantially similar to the method embodiments, the description is relatively simple, and reference may be made to some descriptions of the method embodiments for relevant points.

It is to be noted that, in this document, relational terms such as first and second, and the like are used solely to distinguish one entity or operation from another entity or operation without necessarily requiring or implying any actual such relationship or order between such entities or operations.

As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

While the preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all alterations and modifications as fall within the scope of the application.

It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

Claims

1. A household equipment control method is characterized by being applied to control equipment and comprises the following steps:

2. The method of claim 1, wherein before obtaining the first parameter adjustment data of the home device, the method further comprises:

if yes, the subsequent steps are carried out.

3. The method of claim 1, wherein if the household device includes an air purifier, the first parameter adjustment data for the air purifier includes current indoor air quality data and/or current outdoor air quality data;

4. The method of claim 1, wherein if the household device comprises an air purifier, the operating parameter of the air purifier comprises an operating gear;

5. The method of claim 3, wherein if the first parameter adjustment data of the air intake device includes current outdoor weather condition data, after the obtaining of the first parameter adjustment data of the household equipment, before the controlling of the working parameter of the household equipment is adjusted to the target working parameter, the method further comprises:

6. The method of claim 5, wherein the obtaining current outdoor weather condition data comprises:

7. The method of claim 6, wherein the training process of the weather condition determination model comprises:

8. The method of claim 1, wherein the training process of the device control model corresponding to the household device comprises:

9. The method of any one of claims 1-8, further comprising:

10. The method of any one of claims 1-8, further comprising:

11. The method according to claim 10, wherein if the working parameter adjustment instruction carries the current comfort information of the user, the modifying the device control model corresponding to the home device according to the working parameter adjustment instruction comprises:

12. The utility model provides a household equipment controlling means which characterized in that is applied to controlgear, and the device includes:

13. The apparatus of claim 12, wherein the apparatus further comprises:

14. The apparatus of claim 12, wherein if the household device comprises an air purifier, the first parameter adjustment data for the air purifier comprises current indoor air quality data and/or current outdoor air quality data;

15. The apparatus of claim 12, wherein if the household device comprises an air purifier, the operating parameter of the air purifier comprises an operating gear;

16. The apparatus of claim 14, wherein if the first parameter adjustment data for the intake apparatus comprises current outdoor weather condition data, the apparatus further comprises:

17. The apparatus according to claim 16, wherein the obtaining module is specifically configured to input at least one of the obtained current outdoor temperature data, the current outdoor humidity data, the current outdoor wind speed data, and the current outdoor air quality data into a weather condition determination model trained in advance, and determine the current outdoor weather condition data based on the weather condition determination model.

18. The apparatus of claim 17, wherein the apparatus further comprises:

19. The apparatus of claim 12, wherein the apparatus further comprises:

20. The apparatus of any one of claims 12-19, wherein the apparatus further comprises:

21. The apparatus of any one of claims 12-19, wherein the apparatus further comprises:

22. The apparatus according to claim 21, wherein if the working parameter adjustment instruction carries the current comfort level information of the user, the modification module is specifically configured to determine, according to the comfort level information and a correspondence relationship between pre-stored comfort level information and working parameter adjustment, an adjusted second working parameter of the home equipment corresponding to the comfort level information; and correcting the equipment control model corresponding to the household equipment according to the adjusted second working parameter of the household equipment.

23. A control apparatus, characterized by comprising: the system comprises a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory complete mutual communication through the communication bus;

the memory has stored therein a computer program which, when executed by the processor, causes the processor to carry out the steps of the method of any one of claims 1 to 11.

24. A computer-readable storage medium, characterized in that it stores a computer program executable by a control device, which program, when run on the control device, causes the control device to carry out the steps of the method according to any one of claims 1 to 11.