CN110058535B - Equipment control method and control panel - Google Patents
Equipment control method and control panel Download PDFInfo
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- CN110058535B CN110058535B CN201910334038.5A CN201910334038A CN110058535B CN 110058535 B CN110058535 B CN 110058535B CN 201910334038 A CN201910334038 A CN 201910334038A CN 110058535 B CN110058535 B CN 110058535B
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- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
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Abstract
The invention discloses a device control method, which is applied to a control panel and comprises the following steps: acquiring operation data of a user on controlled equipment within a preset time length; fitting the operation data by utilizing a probability density function of normal distribution to obtain a normal distribution curve graph; and generating an operation rule of the controlled equipment according to the normal distribution curve graph, and controlling the controlled equipment according to the operation rule. According to the method, the operation data of the controlled equipment is analyzed and processed by the user, so that the use habit of the user is summarized, the operation rule is generated, and then the controlled equipment is automatically controlled according to the operation rule, so that the automatic control of the controlled equipment according with the intention of the user is realized, meanwhile, the operation amount of the user is reduced, and the life quality and the life happiness index of the user are improved. Correspondingly, the control panel disclosed by the invention also has the technical effects.
Description
Technical Field
The present invention relates to the field of device control technologies, and in particular, to a device control method and a control panel.
Background
With the continuous development of computer technology and internet technology, the intelligent development of electrical equipment has become the trend of today, and people prefer to complete more work by computers or intelligent equipment so as to improve the quality of life and happiness index.
In the prior art, the switching or gear adjustment of the electrical equipment needs to be performed by the user. For example: the user controls the on-off of the lamp through the switch of the lamp, controls the on-off of the air conditioner, the adjustment of temperature, wind speed and the like through the switch of the central air conditioner, and controls the on-off of the computer through the start button of the computer. Therefore, electrical equipment which is visible everywhere in life can be controlled manually to complete switching or other function adjustment in the whole using process; the number and types of the electrical devices are generally large, which brings many complicated operations to users.
Therefore, how to automatically control the electrical equipment is a problem to be solved by those skilled in the art.
Disclosure of Invention
The invention aims to provide an equipment control method and a control panel so as to realize automatic control of electrical equipment.
In order to achieve the above purpose, the embodiment of the present invention provides the following technical solutions:
a device control method is applied to a control panel and comprises the following steps:
acquiring operation data of a user on controlled equipment within a preset time length;
fitting the operation data by utilizing a probability density function of normal distribution to obtain a normal distribution curve graph;
and generating an operation rule of the controlled equipment according to the normal distribution curve graph, and controlling the controlled equipment according to the operation rule.
Wherein the generating of the operation rule of the controlled device according to the normal distribution curve graph comprises:
calculating an expected value and a standard deviation of the operation data in the normal distribution curve graph, and taking a difference value of the expected value and the standard deviation as a target value;
determining the operation time and the operation type of the controlled equipment in the normal distribution curve graph according to the target value;
and generating the operation rule based on the operation time and the operation type.
Wherein the controlling the controlled device according to the operation rule includes:
selecting and displaying the controlled equipment according to the operation time in the operation rule;
and when receiving an instruction for controlling the controlled equipment input by a user, controlling the controlled equipment according to the instruction.
Before controlling the controlled device according to the instruction, the method further includes:
judging whether the operation type of the instruction is consistent with the operation type in the operation rule or not;
if yes, executing the step of controlling the controlled equipment according to the instruction;
if not, displaying preset prompt information.
Wherein, still include:
adjusting the preset time length, and executing the operation data of the user on the controlled equipment in the preset time length according to the adjusted time length; fitting the operation data by utilizing a probability density function of normal distribution to obtain a normal distribution curve graph; and generating an operation rule of the controlled equipment according to the normal distribution curve graph so as to optimize the operation rule.
A control panel, comprising:
the memory is used for storing operation data of a user on the controlled equipment;
a processor for implementing the steps of the device control method as claimed in any one of the above.
Wherein, the control panel is provided with a rotatable circular shell.
And a display screen connected with the processor is arranged on the surface of the circular shell.
Wherein, the control panel still includes: and the voice player is connected with the processor.
The control panel is connected with the controlled devices in a wireless communication mode or a wired communication mode.
According to the above scheme, the device control method provided by the embodiment of the invention is applied to a control panel, and comprises the following steps: acquiring operation data of a user on controlled equipment within a preset time length; fitting the operation data by utilizing a probability density function of normal distribution to obtain a normal distribution curve graph; and generating an operation rule of the controlled equipment according to the normal distribution curve graph, and controlling the controlled equipment according to the operation rule.
Therefore, the method summarizes the use habit of the user by analyzing and processing the operation data of the controlled equipment by the user, generates the operation rule, and then automatically controls the controlled equipment according to the operation rule, thereby realizing the automatic control of the controlled equipment; moreover, the operation rule for controlling the controlled device is obtained based on the analysis of the use habits of the user, so that the operation rule and the operation of the user on the controlled device are high in conformity, and can be regarded as the same to some extent, namely: the method can automatically control the controlled equipment according with the user's will. Therefore, the invention realizes the automatic control of the controlled device according with the intention of the user based on the operation data of the controlled device by the user, thereby reducing the operation amount of the user and improving the life quality and the life happiness index of the user.
Accordingly, the control panel provided by the embodiment of the invention also has the technical effects.
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 flowchart of an apparatus control method according to an embodiment of the present invention;
FIG. 2 is a normal distribution curve according to an embodiment of the present invention;
FIG. 3 is a graph of another normal distribution disclosed in an embodiment of the present invention;
FIG. 4 is a schematic diagram of a control panel according to an embodiment of the present invention;
FIG. 5 is a schematic view of a control panel according to an embodiment of the present invention;
fig. 6 is a flowchart of a control panel learning and control according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, 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 invention.
The embodiment of the invention discloses an equipment control method and a control panel, which are used for automatically controlling electrical equipment.
Referring to fig. 1, an apparatus control method provided in an embodiment of the present invention is applied to a control panel, and includes:
s101, acquiring operation data of a user on controlled equipment within a preset time length;
it should be noted that, the manner of obtaining the operation data may be: the operation data is acquired from a database through a software interface, acquired from a storage medium through a hardware interface, or received by a data transmitting end through a network line. The operation data of the user on the controlled device in the preset time length is as follows: and operation data of the user on the controlled equipment in a preset time period.
Specifically, the unit of the preset time duration may be a week, a month, a quarter, or a year, and the specific time duration is not limited in this embodiment. The operation data of the user on the controlled device generally includes: what kind of operation is performed on what equipment at what time of day, months, and days in a year. For example: in 2018, 10 and 1, 8:00 in the morning, and the air conditioner is started.
It should be noted that after the operation data of the controlled device by the user is acquired, the operation data needs to be preprocessed first, where the preprocessing includes: classifying the operation data according to different devices to obtain the operation data of any device by a user; and classifying the operation data according to different operation types for any equipment to obtain the operation data corresponding to the different operation types. Wherein the operation types at least include: on, off, function mediation, etc.
The specific implementation process of classifying the operation data according to different operation types to obtain the operation data corresponding to different operation types for any one device includes: for any one device, the operation data is classified according to the function of the current device. For example, the functions of an air conditioner generally include: on, off, wind speed adjustment, temperature adjustment, mode switching, timing advance, etc., the operation data of the air conditioner by the user is classified according to these functions.
S102, fitting the operation data by utilizing a probability density function of normal distribution to obtain a normal distribution curve graph;
specifically, the horizontal axis of the normal distribution curve graph is a time line, and the interval of the time line is [0, 23], which represents points 0 to 23; the vertical axis is the probability density of a certain operation performed on the controlled device by the user at each moment. Wherein the normal distribution curve is a standard normal distribution curve. The normal distribution graph can be seen in fig. 2, and fig. 2 is a simplified diagram illustrating the distribution of the horizontal axis of the normal distribution curve.
S103, generating an operation rule of the controlled equipment according to the normal distribution curve graph, and controlling the controlled equipment according to the operation rule.
Because some misoperation data may exist in the operation data of the controlled device by the user, before generating the operation rule of the controlled device according to the normal distribution curve chart, the method further includes: and deleting the operation data with extremely low probability density in the normal distribution curve graph to remove wrong operation data, thereby providing convenience for data analysis.
It should be noted that after the operation data is classified, a plurality of classification sets can be obtained, for each classification set, a probability density function of normal distribution can be used for fitting, a normal distribution curve graph corresponding to the current classification set is obtained, and the operation rule generated by the operation data in the classification set can be generated based on the normal distribution curve graph corresponding to each classification set.
That is, the same device may correspond to multiple operation rules, but the operation types in the operation rules are different, and the operation time may also be different. Correspondingly, the operation types and the operation times in the operation rules corresponding to different devices may be the same or different. The operation rules may also be generated using a machine learning algorithm or a big data AI algorithm.
The control panel in this embodiment can control a plurality of devices, such as electric lamps, air conditioners, water dispensers, computers, and the like. When the control panel controls a plurality of devices, for each controlled device, automatic control can be realized according to the device control method disclosed in the embodiment.
Therefore, the embodiment provides an equipment control method, which summarizes the use habits of users by analyzing and processing the operation data of the controlled equipment by the users, generates the operation rules, and then automatically controls the controlled equipment according to the operation rules, thereby realizing the automatic control of the controlled equipment; moreover, the operation rule for controlling the controlled device is obtained based on the analysis of the use habits of the user, so that the operation rule and the operation of the user on the controlled device are high in conformity, and can be regarded as the same to some extent, namely: the method can automatically control the controlled equipment according with the user's will. Therefore, the invention realizes the automatic control of the controlled device according with the intention of the user based on the operation data of the controlled device by the user, thereby reducing the operation amount of the user and improving the life quality and the life happiness index of the user.
Based on the above embodiment, it should be noted that the generating of the operation rule of the controlled device according to the normal distribution curve includes: calculating an expected value and a standard deviation of the operation data in the normal distribution curve graph, and taking a difference value of the expected value and the standard deviation as a target value; determining the operation time and the operation type of the controlled equipment in the normal distribution curve graph according to the target value; and generating an operation rule based on the operation time and the operation type.
Referring specifically to fig. 3, in fig. 3, different dividing lines are obtained by calculating the expected value and the standard deviation: A. b, C, D, E, the difference between the expected value and the standard deviation is the coordinate value of the abscissa where the B-segment line is located, the coordinate value of the abscissa is taken as the target value, and the operation data to the right of the target value and closest to the abscissa of the target value is taken as the operation rule of the controlled device. Namely: for the same operation type of the same equipment, the operation data with the earliest time point is selected from a plurality of operation data to be used as the operation rule of the current equipment, and the operation data contains detailed operation information, so that the operation type and the operation time in the operation rule can be determined. Of course, the operation time in the operation rule may be an average value of the operation times in the plurality of operation data.
Based on the foregoing embodiments, it should be noted that, controlling a controlled device according to an operation rule includes: selecting and displaying the controlled equipment according to the operation time in the operation rule; and when receiving an instruction for controlling the controlled equipment input by the user, controlling the controlled equipment according to the instruction.
Before controlling the controlled device according to the instruction, the method further comprises: judging whether the operation type of the instruction is consistent with the operation type in the operation rule or not; if yes, executing the step of controlling the controlled equipment according to the instruction; if not, displaying preset prompt information.
Specifically, in order to allow the user to participate in controlling the controlled device, only the controlled device may be selected and displayed according to the operation rule, and when an instruction for controlling the controlled device input by the user is received, the controlled device is controlled according to the instruction. When the operation type of the instruction input by the user is inconsistent with the operation type in the operation rule, displaying preset prompt information; namely: and prompting that the operation type of the operation instruction currently input by the user is inconsistent with the operation type in the operation rule. The prompt message display mode is as follows: and playing voices similar to the 'please confirm the operation type' through the voice player, or displaying the voices on the display screen in a text form.
Based on the above embodiment, it should be noted that the method further includes:
adjusting the preset time length, and acquiring the operation data of the user on the controlled equipment in the preset time length according to the adjusted time length; fitting the operation data by utilizing a probability density function of normal distribution to obtain a normal distribution curve graph; and generating an operation rule of the controlled equipment according to the normal distribution curve chart so as to optimize the operation rule.
Specifically, in order to optimize the operation rule, the data size of the operation data may be increased according to the usage duration, that is: and increasing the preset time length, acquiring operation data according to the increased time length, and regenerating the operation rule. It should be noted that, when the operation rule is generated again, the acquired operation data includes both the operation data of the controlled device by the user and the operation data generated by the automatic control. The controlled device is the electrical equipment controlled by the control panel.
In the following, a control panel provided by an embodiment of the present invention is introduced, and the above-described device control method may be applied to any one of the control panels described below.
Referring to fig. 4, an embodiment of the present invention provides a control panel, including:
a memory 401 for storing operation data of a controlled device by a user;
a processor 402 for implementing the steps of the device control method according to any of the above embodiments.
The memory may also be used to store a computer program for implementing the steps of the device control method of any of the preceding embodiments.
Wherein the control panel is provided with a rotatable circular housing.
And the bottom of the circular shell is provided with a control component for selecting different controlled equipment. Of course, the housing of the control panel may have other shapes.
Wherein, the surface of circular shell is equipped with the display screen who is connected with the treater. The display screen is a liquid crystal display screen or a touch screen and is used for displaying images of controlled equipment; the touch screen can also be used for displaying function buttons of the controlled device and realizing sliding switching of the controlled device.
Wherein, control panel still includes: a voice player connected to the processor.
The control panel is connected with the controlled devices in a wireless communication mode or a wired communication mode. Specifically, the wireless communication method at least includes: a Bluetooth communication mode or a WIFI communication mode; the wired communication mode is to connect the control panel and the controlled device by using tangible media such as metal wires, etc. to realize the transmission of control information, where the tangible media include: optical fiber, coaxial cable, telephone line, network line, etc.
The specific control panel can be seen in fig. 5, the first represents the control panel, and the casing of the control panel is circular; indicating the indicating sign of the current controlled equipment; the third is the position of the voice player, and the voice player is used for voice prompt of the currently selected controlled equipment, such as a living room headlight, a bedroom light and the like; the image of the controlled equipment is displayed on the liquid crystal screen at the middle part of the circular shell; the liquid crystal screen is used for displaying the image of the controlled device selected currently.
The user can select the device to be controlled through rotation, the liquid crystal screen displays the picture of the controlled device, and the voice prompts the currently selected controlled device. Through the use for a period of time, the control panel can carry out learning statistics through the method disclosed by any embodiment, so that the corresponding equipment can be automatically selected at the time point of frequent operation of a user, and the user can control the controlled equipment only by directly pressing the control panel during operation.
According to the method disclosed in the above embodiment, the learning control process of the control panel in the present embodiment can be seen in fig. 6. Specifically, the control panel can learn and summarize the use habits of the user after the user uses the control panel for a period of time, and the control panel can abandon the unconventional operation of the user and keep the conventional operation of the user through learning statistics. For example, in winter every year, around 8 am, a user can turn on a bedroom lamp, and 8 am 10 can turn on a bathroom lamp, so that the control panel can automatically select the controlled equipment at the corresponding time, and the user can directly press the panel to turn on the controlled equipment to be turned on. Meanwhile, the control panel has image prompt of corresponding controlled equipment; if the user wants to change the controlled device, the user can select the device by rotating the panel, and the picture and the voice prompt help the user to quickly locate the controlled device.
It can be seen that this embodiment discloses a control panel, and a processor in the control panel can implement the steps of the device control method according to any of the above embodiments, so that the control panel also has the above technical effects. Other technical features of the intelligent panel are also specifically disclosed in this embodiment, and the specific implementation of these technical features can refer to the prior art, so that the details of this embodiment are not repeated herein.
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.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. 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 invention. Thus, the present invention 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 equipment control method is applied to a control panel and comprises the following steps:
acquiring operation data of a user on controlled equipment within a preset time length;
fitting the operation data by utilizing a probability density function of normal distribution to obtain a normal distribution curve graph;
generating an operation rule of the controlled equipment according to the normal distribution curve graph, and controlling the controlled equipment according to the operation rule;
wherein the generating of the operation rule of the controlled device according to the normal distribution curve graph comprises:
calculating an expected value and a standard deviation of the operation data in the normal distribution curve graph, and taking a difference value of the expected value and the standard deviation as a target value;
determining the operation time and the operation type of the controlled equipment in the normal distribution curve graph according to the target value;
and generating the operation rule based on the operation time and the operation type.
2. The device control method according to claim 1, wherein said controlling the controlled device in accordance with the operation rule includes:
selecting and displaying the controlled equipment according to the operation time in the operation rule;
and when receiving an instruction for controlling the controlled equipment input by a user, controlling the controlled equipment according to the instruction.
3. The device control method according to claim 2, wherein before controlling the controlled device according to the instruction, the method further comprises:
judging whether the operation type of the instruction is consistent with the operation type in the operation rule or not;
if yes, executing the step of controlling the controlled equipment according to the instruction;
if not, displaying preset prompt information.
4. The device control method according to any one of claims 1 to 3, characterized by further comprising:
adjusting the preset time length, and executing the operation data of the user on the controlled equipment in the preset time length according to the adjusted time length; fitting the operation data by utilizing a probability density function of normal distribution to obtain a normal distribution curve graph; and generating an operation rule of the controlled equipment according to the normal distribution curve graph so as to optimize the operation rule.
5. A control panel, comprising:
the memory is used for storing operation data of a user on the controlled equipment;
processor for implementing the steps of the device control method according to any one of claims 1 to 4.
6. The control panel of claim 5, wherein the control panel is provided with a rotatable circular housing.
7. The control panel of claim 6, wherein the surface of the circular housing is provided with a display screen connected to the processor.
8. The control panel of claim 7, further comprising: and the voice player is connected with the processor.
9. The control panel according to any one of claims 5 to 8, wherein the control panel is connected to a plurality of controlled devices through a wireless communication mode or a wired communication mode.
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| RU2085956C1 (en) * | 1994-06-10 | 1997-07-27 | Яков Михайлович Новиков | Method for calculation of electric load for group of users |
| CN104166396B (en) * | 2014-08-27 | 2016-09-28 | 深圳创维－Rgb电子有限公司 | A kind of intelligent home furnishing control method and system |
| US20170052514A1 (en) * | 2015-08-17 | 2017-02-23 | Ton Duc Thang University | Method and computer software program for a smart home system |
| US20170053210A1 (en) * | 2015-08-17 | 2017-02-23 | Ton Duc Thang University | Smart home system |
| CN105892941A (en) * | 2016-03-30 | 2016-08-24 | 联想(北京)有限公司 | Waste recovering method and device and electronic equipment |
| CN108549251A (en) * | 2018-06-11 | 2018-09-18 | 武汉兴火源科技有限责任公司 | A kind of the self study user custom control system and its control method of smart home |
| CN108919669B (en) * | 2018-09-11 | 2022-04-29 | 深圳和而泰数据资源与云技术有限公司 | Intelligent home dynamic decision method and device and service terminal |
| CN109375561A (en) * | 2018-12-14 | 2019-02-22 | 张自强 | A kind of control system and method based on intelligent control panel |
| CN109631241B (en) * | 2018-12-29 | 2020-12-22 | 陈垒 | Building indoor comfortable environment regulating system |
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| CN109511041A (en) * | 2018-12-28 | 2019-03-22 | 歌尔科技有限公司 | A kind of method, apparatus and earphone of the booting setting of earphone |
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