CN106707741B - Electrical equipment control method and device - Google Patents
Electrical equipment control method and device Download PDFInfo
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- CN106707741B CN106707741B CN201510790820.XA CN201510790820A CN106707741B CN 106707741 B CN106707741 B CN 106707741B CN 201510790820 A CN201510790820 A CN 201510790820A CN 106707741 B CN106707741 B CN 106707741B
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Abstract
The application discloses an electrical equipment control method and device, wherein the behavior characteristics of a user are counted in advance, a control signal of the user to the electrical equipment when the user executes each behavior characteristic is determined, the corresponding relation between the behavior characteristic category associated with the user and the electrical equipment control signal is obtained, then the current behavior characteristic of the user is detected, the current behavior characteristic of the user is matched with the preset behavior characteristic category associated with the user, the matched behavior characteristic category is determined, the corresponding relation between the behavior characteristic category and the electrical equipment control signal is inquired, the electrical equipment control signal corresponding to the matched behavior characteristic category is determined, and the operation of an electrical equipment associated with the user is controlled by using the determined electrical equipment control signal. According to the electric equipment control method, the control terminal of the electric equipment can be separated, the cloud server can automatically control the operation of the electric equipment by analyzing the current behavior characteristics of the user, and great convenience is provided for the user.
Description
Technical Field
The present application relates to the field of device control technologies, and in particular, to a method and an apparatus for controlling an electrical device.
Background
With the improvement of living standard, more and more electrical equipment, such as smart televisions, air conditioners, water heaters and the like in families, central air conditioners, lighting systems and the like in office places, are used in daily life of people. The popularization of various electrical equipment brings great convenience to people.
The existing control method of the electrical equipment generally controls the starting, stopping, running state and the like of the electrical equipment based on a remote control terminal or a fixed switch. If a user needs to control the electrical equipment, the user needs to find a corresponding remote control terminal or a fixed switch, and then the user can control the operation of the electrical equipment.
Obviously, the control method of the existing electrical equipment cannot be separated from the control terminal, and is inconvenient for the operation of a user.
Disclosure of Invention
In view of this, the present application provides a method and an apparatus for controlling an electrical device, so as to solve the problem that the existing method for controlling an electrical device is inconvenient for a user to operate.
In order to achieve the above object, the following solutions are proposed:
an electrical equipment control method is applied to a cloud server and comprises the following steps:
detecting the current behavior characteristics of a user;
matching the current behavior characteristics of the user with preset behavior characteristic categories associated with the user, and determining the matched behavior characteristic categories;
inquiring the preset corresponding relation between the behavior characteristic category associated with the user and the electric appliance control signal, and determining the electric appliance control signal corresponding to the matched behavior characteristic category;
controlling operation of an appliance associated with the user using the determined appliance control signal.
An electrical equipment control device is applied to a cloud server and comprises:
the behavior characteristic detection unit is used for detecting the current behavior characteristic of the user;
the behavior feature matching unit is used for matching the current behavior feature of the user with a preset behavior feature category associated with the user and determining a matched behavior feature category;
the signal determining unit is used for inquiring the corresponding relation between the preset behavior characteristic category associated with the user and the electric appliance control signal and determining the electric appliance control signal corresponding to the matched behavior characteristic category;
and the electric appliance control unit is used for controlling the operation of the electric appliance related to the user by utilizing the determined electric appliance control signal.
It can be seen from the foregoing technical solutions that, the present application provides an electrical apparatus control method based on a cloud server, the present application counts behavior characteristics of a user in advance, determines a control signal for the electrical apparatus when the user executes each behavior characteristic, for example, the user turns on the air conditioner when finishing the exercise and wiping the sweat, obtains the corresponding relation between the behavior characteristic category associated with the user and the electric appliance control signal, further detecting the current behavior characteristics of the user, matching the current behavior characteristics of the user with preset behavior characteristic categories associated with the user to determine the matched behavior characteristic categories, and then inquiring the corresponding relation between the behavior characteristic category and the electric appliance control signal, determining the electric appliance control signal corresponding to the matched behavior characteristic category, and finally controlling the operation of the electric appliance related to the user by using the determined electric appliance control signal. According to the electric equipment control method, the control terminal of the electric equipment can be separated, the cloud server can automatically control the operation of the electric equipment by analyzing the current behavior characteristics of the user, great convenience is provided for the user, and the living comfort level of the user is improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a schematic diagram of a hardware structure of a cloud server disclosed in an embodiment of the present application;
fig. 2 is a flowchart of an electrical apparatus control method disclosed in an embodiment of the present application;
fig. 3 is a flowchart of another electrical device control method disclosed in the embodiment of the present application;
fig. 4 is a flowchart of another electrical device control method disclosed in the embodiment of the present application;
fig. 5 is a flowchart of another electrical device control method disclosed in the embodiment of the present application;
fig. 6 is a schematic structural diagram of an electrical apparatus control device disclosed in the embodiment of the present application;
fig. 7 is a schematic structural diagram of a behavior feature matching unit disclosed in an embodiment of the present application;
fig. 8 is a schematic structural diagram of a behavior feature detection unit disclosed in an embodiment of the present application;
fig. 9 is a schematic structural diagram of another electrical equipment control device disclosed in the embodiment of the present application;
fig. 10 is a schematic structural diagram of another electrical equipment control device disclosed in the embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and 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 application.
The electrical equipment control method provided by the embodiment of the application is based on the cloud server, and the hardware structure of the cloud server can be a computer, a notebook computer and the like. Before introducing the electrical appliance control method of the present application, a hardware structure of the cloud server is first introduced. As shown in fig. 1, the cloud server may include:
a processor 1, a communication interface 2, a memory 3, a communication bus 4, and a display screen 5;
wherein the processor 1, the communication interface 2, the memory 3 and the display screen 5 are communicated with each other through a communication bus 4.
Next, we will describe the electrical appliance control method of the present application in conjunction with the hardware structure of the server, as shown in fig. 2, the method includes:
s200, detecting the current behavior characteristics of a user;
in particular, the behavioral characteristics of the user may include the user's actions, the user's spoken words, and the status of the user's publication on the network, among others. The behavior characteristics of the user can be detected through various ways, for example, a camera collects a video of the user, and an intelligent terminal (for example, a sports bracelet and the like) detects the user action and the like.
In specific implementation, the current behavior characteristic signal of the user may be acquired through the communication interface 2, for example, the camera sends the acquired monitoring video to the communication interface 2. Alternatively, the communication interface 2 may be an interface of a communication module, such as an interface of a GSM module.
Step S210, matching the current behavior characteristics of the user with preset behavior characteristic categories associated with the user, and determining the matched behavior characteristic categories;
specifically, the behavior feature category associated with the user is preset. Optionally, the method and the device can divide the behavior characteristics of the user into a plurality of categories by analyzing and counting a large number of behavior characteristics of the user. Of course, the behavior feature category may also be set by the user himself.
Here, preset behavior feature categories associated with the user may be uploaded to the cloud server through the communication interface 2 and stored in the memory 3. The memory 3 may also store matching rules between the behavior features and the behavior feature categories, and the processor 1 may execute the matching rules. That is, the processor 1 reads the specific matching rule from the memory 3 by using the communication bus 4, matches the current behavior feature of the user with the preset behavior feature category, and determines the matching behavior feature category.
The processor 1 may be a central processing unit CPU, or an application Specific Integrated circuit asic, or one or more Integrated circuits configured to implement the embodiments of the present application.
Step S220, inquiring the corresponding relation between the preset behavior characteristic category associated with the user and the electric appliance control signal, and determining the electric appliance control signal corresponding to the matched behavior characteristic category;
specifically, the corresponding relation between the behavior characteristic category associated with the user and the electric appliance control signal is preset. For the user, the method and the device for controlling the electric equipment perform statistics on the behavior characteristics of the user, determine the behavior characteristic category matched with each behavior characteristic, and determine the control signal of the user to the electric equipment when each behavior characteristic is executed, for example, the user turns on an air conditioner when finishing sweating. Further, by learning a large amount of data, a correspondence between the behavior feature type associated with the user and the electric appliance control signal is obtained. For example, when the behavior feature category of the user is wiping sweat, the electrical appliance control signal is to turn on the air conditioner (or turn down the temperature of the air conditioner), and the like.
Here, the preset correspondence between the behavior feature categories associated with the user and the appliance control signals may be uploaded to the cloud server through the communication interface 2 and stored in the memory 3.
And step S230, controlling the operation of the electric appliance related to the user by using the determined electric appliance control signal.
Specifically, the cloud server may perform signal communication with the electrical equipment through the communication interface 2, and send the electrical control signal to the corresponding electrical equipment to control the electrical equipment to operate.
The embodiment of the application provides an electrical equipment control method based on a cloud server, the application counts the behavior characteristics of a user in advance, determines a control signal of the user to the electrical equipment when executing each behavior characteristic, for example, the user turns on the air conditioner when finishing the exercise and wiping the sweat, obtains the corresponding relation between the behavior characteristic category associated with the user and the electric appliance control signal, further detecting the current behavior characteristics of the user, matching the current behavior characteristics of the user with preset behavior characteristic categories associated with the user to determine the matched behavior characteristic categories, and then inquiring the corresponding relation between the behavior characteristic category and the electric appliance control signal, determining the electric appliance control signal corresponding to the matched behavior characteristic category, and finally controlling the operation of the electric appliance related to the user by using the determined electric appliance control signal. According to the electric equipment control method, the control terminal of the electric equipment can be separated, the cloud server can automatically control the operation of the electric equipment by analyzing the current behavior characteristics of the user, great convenience is provided for the user, and the living comfort level of the user is improved.
It can be understood that the cloud server may store a corresponding relationship between behavior feature categories associated with a plurality of different users and the electrical appliance control signal, and further may control the electrical appliance associated with each user when the behavior feature of each user is detected.
To facilitate understanding of the present application, a description is given below by way of a specific example.
A camera is arranged in an office of a user A and is used for collecting behavior characteristics of the user A. Through monitoring and analysis for a period of time, the temperature of the air conditioner is reduced by 2 degrees every time the user A takes off the jacket. Therefore, we store one record of user a in the cloud server: the behavior characteristic category is that the corresponding electric appliance control signal is to reduce the temperature of the air conditioner by 2 degrees when the jacket is taken off.
In the next time, if the cloud server analyzes the video of the camera and finds that the user A has the behavior characteristic of taking off the coat, the cloud server automatically sends a temperature adjusting signal to the air conditioner and adjusts the temperature of the air conditioner to be 2 degrees.
Further, for the preset corresponding relationship between the behavior feature category associated with the user and the electrical appliance control signal, the determination process may be implemented as follows:
the cloud server establishes communication connection with each electric device in the user place, and detects the running state of each electric device in real time. And meanwhile, detecting the behavior characteristics of the user when the electrical equipment adjusts the running state, if the behavior characteristics are determined after comprehensive analysis, and when the user executes a certain behavior characteristic, the user sends the same control signal to the electrical equipment, namely the adjustment modes of the running state of the electrical equipment are the same, establishing the corresponding relation between the behavior characteristics and the electrical equipment control signal, and storing the behavior characteristics and the electrical equipment control signal.
In another embodiment of the present application, another electrical device control method is disclosed, and referring to fig. 3, fig. 3 is a flowchart of another electrical device control method disclosed in the embodiment of the present application.
As shown in fig. 3, the method includes:
step S300, detecting the current behavior characteristics of the user;
in particular, the behavioral characteristics of the user may include the user's actions, the user's spoken words, and the status of the user's publication on the network, among others. The behavior characteristics of the user can be detected through various ways, for example, a camera collects a video of the user, and an intelligent terminal (for example, a sports bracelet and the like) detects the user action and the like.
Step S310, determining the current position information and the displacement trend of the user;
specifically, the location information of the user may be determined through a mobile phone, a bracelet, and the like of the user. The displacement trend can be determined by analyzing the historical position information and the current position information of the user. The present application may specify the displacement trend, for example, the displacement trend is divided into a position approaching to the electrical equipment or a position far away from the electrical equipment, where the electrical equipment is the electrical equipment associated with the user, and is generally the home or office of the user, and the like.
Step S320, judging whether the position information and the displacement trend meet preset conditions, if so, executing step S330;
the preset condition is that the current position information of the user is within a first preset distance of a target position, or the current displacement of the user tends to point to the target position, and the current position information of the user is within a second preset distance of the target position, wherein the second preset distance is greater than the first preset distance, and the target position is the position of the electric appliance associated with the user.
That is, the preset condition includes two, and the step S330 is performed as long as any one is satisfied. Wherein the first condition is: the current location information of the user is within a first preset distance of the target location. The second condition is: the user's current displacement tends to point to the target location and the user's current location information is within a second preset distance of the target location, where the second preset distance is greater than the first preset distance.
Step S330, searching a behavior feature category which is the same as the current behavior feature of the user in preset behavior feature categories associated with the user, and determining the behavior feature category as a matched behavior feature category;
step S340, inquiring the corresponding relation between the preset behavior characteristic category associated with the user and the electric appliance control signal, and determining the electric appliance control signal corresponding to the matched behavior characteristic category;
and step S350, controlling the operation of the electric appliance related to the user by using the determined electric appliance control signal.
In this embodiment, the judgment of the user position information and the displacement trend is further added, and only when the current position of the user is determined to be within the first preset distance of the position of the electrical equipment, or the current position of the user is determined to be within the second preset distance of the electrical equipment, and the displacement trend of the user points to the position of the electrical equipment, the corresponding relationship between the behavior characteristic category and the electrical equipment control signal is inquired, and the electrical equipment is controlled by using the matched electrical equipment control signal. The useless adjustment of the electrical equipment when the user is not in the peripheral range of the electrical equipment is avoided.
For example, the cloud server detects that the user is at home at a certain time, and the behavior characteristic of wiping sweat appears, then the air conditioner at home can be controlled to be turned on. And if the user is detected to be at an airport at a certain moment and the behavior characteristic of wiping the sweat appears, the cloud server does not control to turn on the air conditioner at home because the user is far away from home.
In yet another embodiment of the present application, a process for detecting a current behavioral characteristic of a user is presented.
The behavior characteristics of the user can be divided into various types, such as the physical activities of the user, the words spoken by the user, the state information published by the user on the network application, and the like.
Therefore, the manner of detecting the current behavior feature of the user may also exist in various forms, and the present embodiment merely illustrates a few optional manners.
Firstly, a camera is arranged in a user activity site to perform video monitoring, collect a monitoring video of a user in real time, and upload the monitoring video to a cloud server. The cloud server analyzes the monitoring video to determine the current behavior characteristics of the user. For example, the user swings an arm, the user takes off a coat, etc.
Secondly, state information issued by the user on the network application at the current moment is detected, for example, the state information issued by the user on applications such as QQ, WeChat, microblog and the like. The state information can show the current mental activities of the user, and the cloud server can obtain the current behavior characteristics of the user by performing semantic analysis on the state information. For example, the user has published a statement "exercise well over hot" on the QQ, which represents that the user currently feels hot.
Of course, the above only illustrates two alternatives, and other detection modes may exist besides, such as detecting the behavior characteristics of the user through a sports bracelet and various sensors.
In another embodiment of the present application, another electrical device control method is disclosed, and referring to fig. 4, fig. 4 is a flowchart of another electrical device control method disclosed in the embodiment of the present application.
As shown in fig. 4, the method includes:
s400, detecting the current behavior characteristics of the user;
in particular, the behavioral characteristics of the user may include the user's actions, the user's spoken words, and the status of the user's publication on the network, among others. The behavior characteristics of the user can be detected through various ways, for example, a camera collects a video of the user, and an intelligent terminal (for example, a sports bracelet and the like) detects the user action and the like.
Step S410, matching the current behavior characteristics of the user with preset behavior characteristic categories associated with the user, and determining the matched behavior characteristic categories;
specifically, the behavior feature category associated with the user is preset. Optionally, the method and the device can divide the behavior characteristics of the user into a plurality of categories by analyzing and counting a large number of behavior characteristics of the user. Of course, the behavior feature category may also be set by the user himself.
Step S420, inquiring the corresponding relation between the preset behavior characteristic category associated with the user and the electric appliance control signal, and determining the electric appliance control signal corresponding to the matched behavior characteristic category;
step S430, controlling the operation of the electric appliance related to the user by using the determined electric appliance control signal;
step S440, collecting power consumption of various types of electric appliances in a plurality of user places;
specifically, the cloud server may be in communication connection with the appliances in a plurality of different user locations, and thus may collect power consumption of the appliances in the plurality of user locations.
The types of the electric appliances are various, including various types of electric appliances such as refrigerators, air conditioners, water heaters and the like. The same type of appliance may also have a variety of different brands.
S450, calculating the average value of the power consumption of all the electric appliances of the same brand under the same type to obtain the average power consumption of the brand;
the cloud server classifies the electric appliances of the same type according to the brand, and calculates the average value of the power consumption of the electric appliances under each classification to obtain the average power consumption of the corresponding brand.
And step S460, sequencing all brands under the same type according to the average power consumption of all brands to obtain the power consumption ranking list of different brands of the same type of electric appliances.
The ranking lists of the average power consumption of different brands can be obtained by ranking different brands of the same type of electric appliances according to the average power consumption, and then the ranking lists can be compared with the ranking lists of the existing energy-saving electric appliance products in the market, so that the real energy-saving electric appliance products can be judged according to the actual use conditions of users.
In another embodiment of the present application, another electrical device control method is disclosed, and referring to fig. 5, fig. 5 is a flowchart of another electrical device control method disclosed in the embodiment of the present application.
As shown in fig. 5, the method includes:
s500, detecting the current behavior characteristics of a user;
in particular, the behavioral characteristics of the user may include the user's actions, the user's spoken words, and the status of the user's publication on the network, among others. The behavior characteristics of the user can be detected through various ways, for example, a camera collects a video of the user, and an intelligent terminal (for example, a sports bracelet and the like) detects the user action and the like.
Step S510, matching the current behavior characteristics of the user with preset behavior characteristic categories associated with the user, and determining the matched behavior characteristic categories;
specifically, the behavior feature category associated with the user is preset. Optionally, the method and the device can divide the behavior characteristics of the user into a plurality of categories by analyzing and counting a large number of behavior characteristics of the user. Of course, the behavior feature category may also be set by the user himself.
Step S520, inquiring the corresponding relation between the preset behavior characteristic category associated with the user and the electric appliance control signal, and determining the electric appliance control signal corresponding to the matched behavior characteristic category;
step S530, controlling the operation of the electric appliance related to the user by using the determined electric appliance control signal;
s540, collecting the running state information of various types of electric appliances in each user place, and establishing the electric appliance use rule information of each user;
each user has a unique appliance control mode, such as when to turn on which type of appliance, how to adjust the operating parameters of the appliance, such as how many degrees the refrigerator is turned to, how many degrees the air conditioner is turned to, and the like. And establishing the use rule information of the electric appliances of each user by acquiring the running state information of the electric appliances of each user.
S550, comparing the electric appliance use rule information of each user to determine the electric appliance use rule information with the optimal energy-saving effect;
different electrical appliance use rules correspond to different energy-saving effects, for example, when one user sleeps, the air conditioner is set to be 23 degrees, and when another user sleeps, the air conditioner is set to be 24 degrees, so that the use mode of the electrical appliance of the latter user is obviously more energy-saving.
And determining the electric appliance use rule information with the optimal energy-saving effect by comparing the electric appliance use rule information of different users.
Of course, if the living environments, climates and the like of users in different regions are considered to be different, the users in the same region can be divided according to the regions, and the electrical appliance use rules of the users in the same region are compared to find out the optimal electrical appliance use rule.
And step S560, recommending the electrical appliance use rule information with the optimal energy-saving effect to other users.
Specifically, the recommended mode may be recommended to the user by means of QQ, wechat, or the like.
In addition, the cloud server can control the electric appliances of other users tentatively according to the electric appliance use rule with the optimal energy-saving effect, and the electric appliance use rule is stored as the electric appliance use rule of the user under the condition that the user can accept the electric appliance use rule. If the user can not accept the electric appliance, the electric appliance is controlled according to the original electric appliance use rule of the user. For example, user a has been sleeping with the air conditioner adjusted to 23 degrees. The cloud server determines that the appliance usage rule with the optimal energy-saving effect is that the air conditioner is adjusted to 24 degrees when the user A sleeps, so that the air conditioner temperature can be adjusted to 24 degrees when the user A sleeps, whether the user A can accept the temperature is detected, for example, if the user A manually adjusts the air conditioner temperature to 23 degrees again in the middle of the night, the user A cannot accept the temperature, and therefore the adjustment is abandoned.
In the embodiment, statistics of the using rules of the electric appliances are further added, the using rule of the electric appliances with the optimal energy-saving effect is determined, and the rule is recommended to other users, so that the purpose of saving energy is achieved.
The electrical equipment control device provided by the embodiment of the present application is described below, and the electrical equipment control device described below and the electrical equipment control method described above may be referred to correspondingly.
Referring to fig. 6, fig. 6 is a schematic structural diagram of an electrical apparatus control device disclosed in the embodiment of the present application.
As shown in fig. 6, the apparatus includes:
a behavior feature detection unit 61, configured to detect a current behavior feature of the user;
a behavior feature matching unit 62, configured to match a current behavior feature of a user with a preset behavior feature category associated with the user, and determine a matched behavior feature category;
a signal determining unit 63, configured to query a preset correspondence between behavior feature categories associated with the user and electrical appliance control signals, and determine electrical appliance control signals corresponding to the matched behavior feature categories;
an appliance control unit 64 for controlling the operation of an appliance associated with the user using the determined appliance control signal.
The embodiment of the application provides an electrical equipment control device based on a cloud server, the application counts the behavior characteristics of a user in advance, determines a control signal of the user to the electrical equipment when executing each behavior characteristic, for example, the user turns on the air conditioner when finishing the exercise and wiping the sweat, obtains the corresponding relation between the behavior characteristic category associated with the user and the electric appliance control signal, further detecting the current behavior characteristics of the user, matching the current behavior characteristics of the user with preset behavior characteristic categories associated with the user to determine the matched behavior characteristic categories, and then inquiring the corresponding relation between the behavior characteristic category and the electric appliance control signal, determining the electric appliance control signal corresponding to the matched behavior characteristic category, and finally controlling the operation of the electric appliance related to the user by using the determined electric appliance control signal. The electric appliance control device can be separated from the control terminal of the electric appliance, the cloud server can automatically control the operation of the electric appliance by analyzing the current behavior characteristics of the user, great convenience is provided for the user, and the comfort level of the life of the user is improved.
Optionally, the embodiment of the present application discloses an optional structure of the behavior feature matching unit, and as shown in fig. 7, the behavior feature matching unit 62 may include:
a first behavior feature matching subunit 621, configured to determine current location information and a displacement trend of the user;
a second behavior feature matching subunit 622, configured to determine whether the position information and the displacement trend meet a preset condition, where the preset condition is that the current position information of the user is within a first preset distance of a target position, or that the current displacement trend of the user is pointing to the target position, and the current position information of the user is within a second preset distance of the target position, where the second preset distance is greater than the first preset distance, and the target position is a position where the electrical appliance associated with the user is located;
a third behavior feature matching subunit 623, configured to, when the determination result of the second behavior feature matching subunit 622 is yes, search, in preset behavior feature categories associated with the user, a behavior feature category that is the same as the current behavior feature of the user, and determine the category as a matched behavior feature category.
Optionally, an optional structure of the behavior feature detection unit is disclosed in this embodiment of the application, and as shown in fig. 8, the behavior feature detection unit 61 may include:
a surveillance video receiving unit 611, configured to receive a surveillance video of the user, which is acquired by a camera;
a surveillance video analyzing unit 612, configured to analyze the surveillance video and determine a current behavior characteristic of the user;
a network application detecting unit 613, configured to detect status information that is issued by a user on a network application at the current time;
and the semantic analysis unit 614 is configured to perform semantic analysis on the state information to obtain the current behavior feature of the user.
Optionally, the embodiment of the present application discloses another optional structure of the electrical equipment control device, and as can be seen from fig. 6 and 9, the device may further include:
a power consumption collecting unit 65 for collecting power consumption of each type of electric appliances in a plurality of user sites, wherein the same type of electric appliances include different brands;
the average power consumption calculation unit 66 is used for calculating an average value of the power consumption of the electric appliances of the same brand under the same type to obtain the average power consumption of the brand;
and the average power consumption ranking unit 67 is used for ranking all the brands of the same type according to the average power consumption of all the brands to obtain the power consumption ranking lists of different brands of the same type of electric appliances.
Optionally, the embodiment of the present application discloses another optional structure of the electrical equipment control device, and as can be seen from fig. 6 and 10, the device may further include:
the electric appliance running state acquisition unit 68 is used for acquiring running state information of various types of electric appliances in each user place and establishing electric appliance use rule information of each user;
the energy saving effect comparison unit 69 is configured to compare the electrical appliance usage rule information of each user, and determine electrical appliance usage rule information with an optimal energy saving effect;
and an appliance usage rule recommending unit 70, configured to recommend the appliance usage rule information with the optimal energy saving effect to other users.
Through the electric appliance use rule recommending unit, the electric appliance use rule with the optimal energy-saving effect is recommended to other users, and the purpose of saving energy is achieved.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (9)
1. An electrical equipment control method is applied to a cloud server, and comprises the following steps:
detecting the current behavior characteristics of a user; the behavior characteristics comprise actions of the user, words spoken by the user or states published by the user on the network;
matching the current behavior characteristics of the user with preset behavior characteristic categories associated with the user, and determining the matched behavior characteristic categories;
inquiring the preset corresponding relation between the behavior characteristic category associated with the user and the electric appliance control signal, and determining the electric appliance control signal corresponding to the matched behavior characteristic category; the behavior feature categories associated with the user and the corresponding relation between the behavior feature categories associated with the user and the electric appliance control signals are obtained by analyzing and counting a large number of behavior features of the user;
controlling operation of an appliance associated with the user using the determined appliance control signal;
collecting the running state information of various types of electric appliances in each user place, and establishing the use rule information of the electric appliances of each user;
comparing the electric appliance use rule information of each user to determine the electric appliance use rule information with the optimal energy-saving effect;
and recommending the electrical appliance use rule information with the optimal energy-saving effect to other users.
2. The method of claim 1, wherein the matching the current behavior feature of the user with a preset behavior feature category associated with the user to determine a matching behavior feature category comprises:
determining the current position information and the displacement trend of a user;
judging whether the position information and the displacement trend meet preset conditions or not, wherein the preset conditions are that the current position information of the user is within a first preset distance of a target position, or the current displacement trend of the user points to the target position, the current position information of the user is within a second preset distance of the target position, the second preset distance is larger than the first preset distance, and the target position is the position of the electric appliance related to the user;
if yes, searching a behavior feature category which is the same as the current behavior feature of the user in preset behavior feature categories associated with the user, and determining the behavior feature category as a matched behavior feature category.
3. The method of claim 1, wherein the detecting the current behavior characteristic of the user comprises:
receiving a monitoring video of the user, which is acquired by a camera;
analyzing the monitoring video to determine the current behavior characteristics of the user;
alternatively, the first and second electrodes may be,
detecting state information issued by a user on a network application at the current moment;
and performing semantic analysis on the state information to obtain the current behavior characteristics of the user.
4. The method of claim 1, further comprising:
collecting power consumption of various types of electric appliances in a plurality of user places, wherein the electric appliances of the same type comprise different brands;
calculating the average value of the power consumption of all the electric appliances of the same brand under the same type to obtain the average power consumption of the brand;
and sequencing all the brands under the same type according to the average power consumption of all the brands to obtain the power consumption ranking lists of different brands of the same type of electric appliances.
5. An electrical equipment control device is characterized in that the electrical equipment control device is applied to a cloud server and comprises:
the behavior characteristic detection unit is used for detecting the current behavior characteristic of the user; the behavior characteristics comprise actions of the user, words spoken by the user or states published by the user on the network;
the behavior feature matching unit is used for matching the current behavior feature of the user with a preset behavior feature category associated with the user and determining a matched behavior feature category;
the signal determining unit is used for inquiring the corresponding relation between the preset behavior characteristic category associated with the user and the electric appliance control signal and determining the electric appliance control signal corresponding to the matched behavior characteristic category; the behavior feature categories associated with the user and the corresponding relation between the behavior feature categories associated with the user and the electric appliance control signals are obtained by analyzing and counting a large number of behavior features of the user;
an appliance control unit for controlling the operation of an appliance associated with the user using the determined appliance control signal;
the electric appliance running state acquisition unit is used for acquiring running state information of various types of electric appliances in each user place and establishing electric appliance use rule information of each user;
the energy-saving effect comparison unit is used for comparing the electric appliance use rule information of each user and determining the electric appliance use rule information with the optimal energy-saving effect;
and the electrical appliance use rule recommending unit is used for recommending the electrical appliance use rule information with the optimal energy-saving effect to other users.
6. The apparatus according to claim 5, wherein the behavior feature matching unit comprises:
the first behavior feature matching subunit is used for determining the current position information and the displacement trend of the user;
the second behavior feature matching subunit is configured to determine whether the position information and the displacement trend meet a preset condition, where the preset condition is that the current position information of the user is within a first preset distance of a target position, or that the current displacement trend of the user is pointing to the target position, and the current position information of the user is within a second preset distance of the target position, where the second preset distance is greater than the first preset distance, and the target position is a position where the electrical appliance associated with the user is located;
and the third behavior feature matching subunit is configured to, when the determination result of the second behavior feature matching subunit is yes, search a behavior feature category that is the same as the current behavior feature of the user from preset behavior feature categories associated with the user, and determine the category as the matched behavior feature category.
7. The apparatus according to claim 5, wherein the behavior feature detection unit includes:
the monitoring video receiving unit is used for receiving the monitoring video of the user, which is acquired by the camera;
the monitoring video analysis unit is used for analyzing the monitoring video and determining the current behavior characteristics of the user;
the network application detection unit is used for detecting the state information issued by the user on the network application at the current moment;
and the semantic analysis unit is used for performing semantic analysis on the state information to obtain the current behavior characteristics of the user.
8. The apparatus of claim 5, further comprising:
the power consumption acquisition unit is used for acquiring the power consumption of various types of electric appliances in a plurality of user places, wherein the electric appliances of the same type comprise different brands;
the average power consumption calculating unit is used for calculating the average value of the power consumption of all the electric appliances of the same brand under the same type to obtain the average power consumption of the brand;
and the average power consumption ranking unit is used for ranking all the brands under the same type according to the average power consumption of all the brands to obtain the power consumption ranking lists of different brands of the same type of electric appliances.
9. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the appliance control method according to any one of claims 1 to 4.
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| CN201510790820.XA CN106707741B (en) | 2015-11-17 | 2015-11-17 | Electrical equipment control method and device |
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| CN107330450A (en) * | 2017-06-15 | 2017-11-07 | 珠海格力电器股份有限公司 | A kind of terminal equipment control method and device |
| CN109960495B (en) * | 2017-12-25 | 2022-04-15 | 紫石能源有限公司 | Equipment control processing method and device |
| CN109116743A (en) * | 2018-08-01 | 2019-01-01 | 珠海格力电器股份有限公司 | A kind of intelligent appliance interactive approach and system |
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