CN107703764B - Equipment control method and device - Google Patents
Equipment control method and device Download PDFInfo
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- G05B15/00—Systems controlled by a computer
- G05B15/02—Systems controlled by a computer electric
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- G—PHYSICS
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- 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
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
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- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/20—Movements or behaviour, e.g. gesture recognition
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
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Abstract
The invention discloses a device control method and device. Wherein, the method comprises the following steps: judging whether the current time is within a first preset time period or not and whether the equipment does not detect the activity of the personnel within a preset time period or not; in the event that the current time lies within a first predetermined time period and no human activity is detected within a predetermined time period, the control device executes a predetermined operating mode, wherein the predetermined operating mode comprises switching off the image recognition function or reducing the frequency of operation of the image recognition function. The invention solves the technical problem that the reliability and the service life of hardware equipment are reduced because related hardware equipment of an image processing module is always in a running state in the existing scheme of adopting the image recognition technology to control the equipment.
Description
Technical Field
The invention relates to the field of image recognition, in particular to a device control method and device.
Background
Image recognition technology is an important field of artificial intelligence, and refers to a technology for performing object recognition on an image to recognize various different modes of objects and objects. Currently, image recognition technology has been applied to various fields including, but not limited to, the field of remote sensing image recognition, the field of machine vision, the field of biomedicine, and the field of intelligent control of some devices (e.g., air conditioners).
Taking an air conditioner as an example, because an image processing algorithm is complex, most of the existing air conditioner intelligent control schemes based on the image recognition technology adopt computing equipment with very strong image processing capability, and the computing equipment has high power consumption and serious heating, so that the use reliability of an image module, a camera module and related chips is reduced, the service life is shorter, and the power waste is serious. For example, a camera may suffer performance degradation if it is operated for a long period of time.
In order to solve the problem that the reliability and the service life of hardware equipment are reduced because related hardware equipment of an image processing module is always in a running state in the existing scheme of controlling the equipment by adopting an image recognition technology, an effective solution is not provided at present.
Disclosure of Invention
The embodiment of the invention provides a device control method and a device, which at least solve the technical problem that the reliability and the service life of hardware equipment are reduced because related hardware equipment of an image processing module is always in a running state in the existing scheme of controlling the equipment by adopting an image recognition technology.
According to an aspect of an embodiment of the present invention, there is provided an apparatus control method including: judging whether the current time is within a first preset time period or not and whether the equipment does not detect the activity of the personnel within a preset time period or not; in the event that the current time lies within a first predetermined time period and no human activity is detected within a predetermined time period, the control device executes a predetermined operating mode, wherein the predetermined operating mode comprises switching off the image recognition function or reducing the frequency of operation of the image recognition function.
According to another aspect of the embodiments of the present invention, there is also provided an apparatus control device, including: the judging module is used for judging whether the current time is within a first preset time period or not and whether the equipment does not detect the personnel activity within a preset time period or not; the control device comprises a first control module and a second control module, wherein the first control module is used for controlling the equipment to execute a preset operation mode when the current time is within a first preset time period and no human activity is detected within a preset time period, and the preset operation mode comprises the step of turning off the image recognition function or reducing the frequency of the operation of the image recognition function.
According to another aspect of the embodiments of the present invention, there is also provided a storage medium including a stored program, wherein the program executes the apparatus control method described above.
According to another aspect of the embodiments of the present invention, there is also provided a processor, wherein the processor is configured to execute a program, and the program executes the apparatus control method described above.
In the embodiment of the invention, whether the current time is within a first preset time period or not and whether the equipment does not detect the activity of the personnel within a preset time period or not is judged; when the current time is within the first predetermined time period and no human activity is detected within the predetermined time period, the control device executes a predetermined operation mode, wherein the predetermined operation mode comprises the step of closing the image recognition function or reducing the operation frequency of the image recognition function, so that the purpose of stopping the operation or reducing the operation frequency of hardware equipment related to image processing on the control device under the condition of no human activity is achieved, the technical effects of prolonging the service life and improving the operation reliability of image recognition hardware are achieved, and the technical problem that the reliability and the service life of the hardware equipment are reduced due to the fact that the related hardware equipment of an image processing module is always in an operation state in the existing scheme of adopting the image recognition technology control device is solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
FIG. 1 is a flow chart of a method of controlling a device according to an embodiment of the invention;
FIG. 2 is a flow chart of an alternative method of controlling a device according to an embodiment of the present invention;
FIG. 3 is a flow chart of an alternative method of controlling a device according to an embodiment of the present invention;
FIG. 4 is a flow chart of an alternative method of controlling a device according to an embodiment of the present invention;
FIG. 5 is a flow chart of a preferred method for analyzing user behavior data in a low power consumption manner, according to an embodiment of the present invention;
fig. 6 is a schematic diagram of an apparatus control device according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, 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.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
In accordance with an embodiment of the present invention, there is provided an apparatus control method embodiment, it is noted that the steps illustrated in the flowchart of the drawings may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order different than here.
Fig. 1 is a flowchart of a device control method according to an embodiment of the present invention, as shown in fig. 1, the method includes the steps of:
step S102, whether the current time is within a first preset time period or not and whether the equipment does not detect the human activity within a preset time period or not is judged.
As an alternative embodiment, the above-mentioned device may be various intelligent devices based on image recognition technology, including but not limited to various monitoring devices, intelligent appliances (e.g., air conditioners), and the like, and these devices may collect image data in a preset space through an image collecting device (e.g., a camera), and by analyzing and processing the collected image data, may determine the activity condition of people in the preset space, where the activity condition of people at least includes: the preset space is provided with personnel and is free of personnel; the first predetermined time period may include one or more predetermined time periods, for example, a time period of 22:00 to 06:00 in a day, and the first predetermined time period is used for representing that no person is active in a preset space (for example, a space where equipment is located) in the time period. The predetermined time period may be a time range preset to improve the detection reliability of the image capturing apparatus, and may be, for example, 30 seconds or 1 minute.
It should be noted that, since the first predetermined period of time may be used to characterize the unmanned activity in the space where the device is located, the device may be controlled to turn off its image recognition function or reduce the frequency of its image recognition function operation in the first predetermined period of time, so as to reduce the operation time of the hardware (including but not limited to the image processing module, the camera module, the image processing chip, etc.) that performs the image recognition function, thereby improving the service life and the operation reliability of the hardware.
Optionally, since the first predetermined time period is one or more predetermined time periods determined according to the historical human activity data detected in the space where the device is located, when the human activity of the future preset time period is predicted according to the historical human activity data of a certain preset time period, in order to prevent an accident, in the case that the current time is in the first predetermined time period, whether the device detects human activity within a predetermined time period is further determined, and accuracy of device control can be improved.
And step S104, in the case that the current time is within a first preset time period and no human activity is detected within a preset time period, the control device executes a preset operation mode, wherein the preset operation mode comprises the step of turning off the image recognition function or reducing the frequency of the operation of the image recognition function.
As an alternative embodiment, the predetermined operation mode may include: the control device switches off a first operating mode of the image recognition function and/or a second operating mode which reduces the frequency of operation of the image recognition function of the device. Alternatively, in a case where the first predetermined period of time includes a plurality of predetermined periods of time, different operation modes may be set for different predetermined periods of time.
In the above step S104, in the case where the current time is in the first predetermined period of time and no human activity in the preset space is detected within the predetermined period of time, the apparatus may be controlled to execute the predetermined operation mode corresponding to the first predetermined period of time. For example, the first predetermined time period may include two time periods of 22:00 to 24:00 and 00:00 to 6:00, and since the personnel activity is less in the time period of 22:00 to 24:00, the corresponding predetermined operation mode may be set to reduce the frequency of the operation of the image recognition function, so as to reduce the power consumption consumed by each hardware related to the image recognition to a certain extent, and improve the service life of the hardware; in the time period of 00: 00-6: 00, no personnel activity is usually available, the corresponding preset operation mode can be set to be the image recognition function closing mode, the power consumption consumed by each hardware related to image recognition can be reduced to a great extent, and the service life of the hardware is greatly prolonged.
As can be seen from the above, in the above embodiments of the present application, by determining whether the current time is within the preset time period of no human activity, and further determining whether the device does not detect human activity within the preset time period, and when the current time is within the preset time period of no human activity and the device does not detect human activity within the preset time period, the control device executes the preset operation mode corresponding to the preset time period and used for turning off the image recognition function or reducing the frequency of the image recognition function, so as to achieve the purpose of stopping the operation or reducing the frequency of the hardware device related to image processing on the control device in the case of no human activity, thereby achieving the technical effects of improving the service life and the operation reliability of the image recognition hardware, and further solving the problem that the related hardware device of the image recognition technology control device in the prior art is always in an operation state, which causes the hardware device to stop the operation or reduce the frequency of the image processing module The reliability and the service life of the piece equipment are reduced.
In an alternative embodiment, as shown in fig. 2, the step S104, in which the control device executes the predetermined operation mode, includes at least one of:
step S202, the control device executes a preset operation mode in a second preset time period, wherein the second preset time period is the same as or different from the first preset time period;
and step S204, judging whether the time accumulation of the equipment entering the preset operation mode exceeds a preset threshold value, maintaining the preset operation mode under the condition that the time accumulation of the equipment does not exceed the preset threshold value, and otherwise, exiting the preset operation mode.
Specifically, in the above embodiment, the second predetermined time period may be the same time period as the first predetermined time period, or may be a time period different from the first predetermined time period, for example, if the first predetermined time period is 22:00 to 6:00, if the current time is 22:00, and the device does not detect human activity within a predetermined time period (for example, 30 seconds), the device may be controlled to execute a preset operation mode of turning off the image recognition function and/or reducing the frequency of operation of the image recognition function of the device within 22:00 to 6: 00; if the current time is 22:00 but the device detects the human activity within a preset time period (for example, 30 seconds), the control device detects the human activity in the preset space according to a preset frequency until the current time is 23:00, and in the case that the device does not detect the human activity within the preset time period (for example, 30 seconds), as an optional implementation mode, the control device can execute a preset operation mode for turning off the image recognition function and/or reducing the frequency of the operation of the image recognition function of the device within 23: 00-6: 00.
It is easy to note that, since the sleep time of the user is usually fixed (i.e. early morning sleep and late evening sleep), in the case that the current time is 23:00 and no human activity is detected by the device within a predetermined time period (e.g. 30 seconds), as another alternative embodiment, the control device executes a preset operation mode of turning off the image recognition function and/or reducing the frequency of operation of the image recognition function of the device within 23:00 to 7:00 (i.e. automatically postponing for one hour).
Based on the above embodiment, as a first optional implementation scheme, taking the time period of the first predetermined time period as 22:00 to 6:00 as an example, when the current time is in the predetermined time period of no human activity (for example, it is determined whether the current time is in the time period of 22:00 to 6: 00) and the device does not detect human activity within the predetermined time period, the device is controlled to execute the preset operation mode corresponding to the predetermined time period and used for turning off the image recognition function or reducing the frequency of the image recognition function.
Optionally, as a second optional implementation, taking the time period of the first predetermined time period of 22:00 to 6:00 as an example, after the device has entered the predetermined operation mode, determining whether the accumulated time of the device entering the predetermined operation mode this time exceeds a preset threshold (for example, the threshold set for the time period of 22:00 to 6:00 may be 8 hours), if the accumulated time does not exceed the preset threshold, maintaining the operation mode of turning off the image recognition function or reducing the frequency of the operation of the image recognition function, otherwise, exiting the operation mode of turning off the image recognition function or reducing the frequency of the operation of the image recognition function.
As a third alternative, it may be firstly determined whether the current time is within a preset predetermined time period of no human activity, and whether the device detects human activity within a predetermined time period; if the device does not detect the human activity within the preset time period when the current time is 23:00, the control device executes a preset operation mode for closing the image recognition function or reducing the operation frequency of the image recognition function, judges whether the time accumulation of the device entering the preset operation mode at this time exceeds a preset threshold (for example, 8 hours), maintains the operation mode for closing the image recognition function or reducing the operation frequency of the image recognition function under the condition that the time accumulation does not exceed the preset threshold, and otherwise exits the operation mode for closing the image recognition function or reducing the operation frequency of the image recognition function.
Through the embodiment, three schemes for controlling the image recognition function of the equipment to be closed or reducing the running frequency are provided, and the use frequency of hardware related to image recognition in the equipment can be greatly reduced, so that the service life and the reliability of the hardware are improved.
In an alternative embodiment, as shown in fig. 3, in the case that the predetermined operation mode is to reduce the frequency of the operation of the image recognition function, the method may further include the following steps:
step S302, determining whether the person is identified to make a predetermined behavior through the image identification function;
in step S304, in the case where it is determined that the person makes the predetermined action, the control apparatus exits the predetermined operation mode.
Specifically, in the above embodiment, the predetermined behavior may be a predetermined behavior for exiting the predetermined operation mode (i.e., activating the device image function to operate at normal frequency power). In the case where the current time is within the first predetermined period of time and no human activity in the preset space is detected within the predetermined period of time, the control device decreases the frequency of operation of the image recognition function, for example, decreases the frequency of image data acquisition by the camera and the frequency of image data analysis and processing by the image processing device. After the frequency of the operation of the image recognition function is reduced, the device can recognize the predetermined behavior made by the person in the preset space, such as swinging hands, shaking head, etc., through the image recognition function.
Through the embodiment, after the frequency of the image recognition function is reduced, the purpose of intelligently controlling the equipment to recover the normal operation mode based on the image recognition technology can be achieved.
In another optional embodiment, the method may further include the steps of: receiving a command sent to the equipment by a person through a control terminal, wherein the command is used for indicating to exit a preset operation mode, and the control terminal comprises at least one of the following components: the remote controller, the control panel on the equipment, the mobile terminal who is connected with the equipment.
Specifically, in the above-described embodiment, if the image recognition function of the device is turned off, since the predetermined behavior made by the user cannot be recognized, the user can send a command to exit the above-described predetermined operation mode (for example, turn off the image recognition function) to the device through the control terminal to start the image recognition function of the device.
Optionally, the device may be controlled to enter a self-learning function by a control terminal such as a mobile terminal, a remote controller, and a control panel on the device, which are connected to the device, and the first predetermined time period may be determined according to user behavior habit data obtained by self-learning.
It should be noted that the first predetermined time period may be determined by analyzing the collected historical user behavior habit data through big data, and in order to determine the first predetermined time period for characterizing the unmanned activity in the space where the device is located, in an alternative embodiment, as shown in fig. 4, the method may further include the following steps:
step S402, collecting behavior data of at least one person in a target space at a first preset frequency within a first preset time, wherein the target space comprises one or more activity areas of the at least one person in the space where the equipment is located, and the first preset time is in days;
in step S404, a first predetermined time period of each day is determined based at least on the behavior data.
Specifically, in the above embodiment, the first predetermined time may be a historical time period (e.g., 30 days) during which historical user behavior habit data is collected. Based on the solutions disclosed in the above steps S402 to S404, taking the air conditioner as an example, assuming that the air conditioner is installed in the living room of the user, by obtaining the behavior data of the user within the first predetermined time (e.g., 30 days), it can be analyzed that the frequency of activities of the user in the living room is the highest in 20:00 to 22:00 at night, and this time period can be used as the habit of the user using the air conditioner; for example, when a user usually takes a rest at 10 pm and gets up at 6:00 am every day, the time period of 22:00 to 6:00 is set as the time when the image recognition function is turned off or the operation frequency is reduced.
Alternatively, the air conditioner is operated cumulatively for 30 days as a large data collection period during which the image recognition module is operated at a high frequency (i.e., the above-mentioned first predetermined frequency) all the time, for example, the user's activity area is collected every 1 minute. In order to correct the collected data, after accumulating for 30 days, the control image recognition module is operated at a low frequency (i.e. a second predetermined frequency) all the time, for example, the activity area of the user is collected every 30 minutes, so that, as an alternative embodiment, as shown in fig. 4, the step S404 of determining the first predetermined time period in each day at least according to the behavior data may include the following steps:
step S4041, after the first preset time, collecting behavior data of at least one person in the target space at a second preset frequency in second preset time;
step S4043, correcting the behavior data of the at least one person collected in the target space at the first predetermined frequency according to the behavior data of the at least one person collected in the target space at the second predetermined frequency, wherein the second predetermined frequency is lower than the first predetermined frequency;
step S4045, determining a first predetermined time period of each day based on the modified behavior data.
Alternatively, fig. 5 is a flowchart of a preferred method for analyzing user behavior data in a low power consumption manner according to an embodiment of the present invention, and as shown in fig. 5, during the large data user behavior habit data collection, the image capture device may be controlled to operate at a high frequency (i.e., the first predetermined frequency), and during the large data user habit correction, the image capture device may be controlled to operate at a low frequency (i.e., the second predetermined frequency).
Through the embodiment, the use frequency of hardware can be reduced, so that performance attenuation caused by long-term use of the hardware is avoided, and especially, service life influences of a camera or a light supplement lamp for night vision and the like are caused.
In an optional embodiment, in the case that the device is an air conditioner, the predetermined operation mode further includes: a predetermined air supply pattern, wherein the air supply pattern includes at least one of: the air supply system comprises a first air supply mode, a second air supply mode and a third air supply mode, wherein the first air supply mode is used for controlling the air supply direction of the air conditioner to blow towards a human body, the second air supply mode is used for controlling the air supply direction of the air conditioner to blow away from the human body, and the third air supply mode is used for controlling the air supply direction of the air conditioner to blow around the human body.
Specifically, in the above embodiment, when the device is an air conditioner, after image data in a space where the air conditioner is located is collected by a camera, and the collected image data is analyzed and processed, and after a person activity condition in a preset time period in the space where the air conditioner is located is determined, an operation mode of the air conditioner may be switched to a corresponding air supply mode according to the person activity condition in the current time period, and an air supply amount in the corresponding air supply mode is controlled, wherein the air supply mode includes blowing people, keeping people away from wind, or blowing air around a human body.
As an alternative embodiment, the predetermined blowing mode is learned from previous history data, and the history data includes: and the air supply mode of the air conditioner used by the person in the first historical preset time period.
Example 2
According to an embodiment of the present invention, there is also provided an apparatus embodiment for implementing the device control method, and fig. 6 is a schematic diagram of a device control apparatus according to an embodiment of the present invention, as shown in fig. 6, the apparatus includes: a judging module 601 and a first control module 603.
The judging module 601 is configured to judge whether the current time is within a first predetermined time period and whether the device does not detect a human activity within a predetermined time period;
a first control module 603 configured to control the apparatus to execute a predetermined operation mode in case the current time is within a first predetermined time period and no human activity is detected within a predetermined time period, wherein the predetermined operation mode comprises turning off the image recognition function or reducing the frequency of operation of the image recognition function.
It should be noted here that the above determining module 601 and the first control module 603 correspond to steps S102 to S104 in embodiment 1, and the above modules are the same as the examples and application scenarios realized by the corresponding steps, but are not limited to the disclosure of embodiment 1. It should be noted that the modules described above as part of an apparatus may be implemented in a computer system such as a set of computer-executable instructions.
As can be seen from the above, in the above embodiments of the present application, the determining module 601 determines whether the current time is within the preset time period of no human activity, and further determines whether the device does not detect human activity within the preset time period, and when the current time is within the preset time period of no human activity and the device does not detect human activity within the preset time period, the first control module 603 controls the device to execute the preset operation mode corresponding to the preset time period and used for turning off the image recognition function or reducing the frequency of the image recognition function, so as to achieve the purpose of controlling the hardware device related to image processing on the device to stop operating or reduce the frequency of the hardware device related to image processing in the absence of human activity, thereby achieving the technical effects of improving the service life and the operation reliability of the image recognition hardware, and further solving the problem that the existing solution of controlling the device using the image recognition technology is due to the related hardware of the image processing module The hardware equipment is always in a running state, so that the reliability and the service life of the hardware equipment are reduced.
In an alternative embodiment, the first control module includes at least one of: the first control unit is used for controlling the equipment to execute a preset operation mode within a second preset time period, wherein the second preset time period is the same as or different from the first preset time period; and the second control unit is used for judging whether the time accumulation of the equipment entering the preset operation mode exceeds a preset threshold value or not, maintaining the preset operation mode under the condition that the time accumulation of the equipment does not exceed the preset threshold value, and otherwise, exiting the preset operation mode.
In an alternative embodiment, in the case that the predetermined operation mode is to reduce the frequency of operation of the image recognition function, the apparatus may further include: a first determination module for determining whether a person is recognized to make a predetermined behavior by an image recognition function; and the second control module is used for controlling the equipment to exit the preset operation mode under the condition that the personnel is determined to make the preset action.
In an optional embodiment, the apparatus may further include: the receiving module is used for receiving a command sent to the equipment by a person through the control terminal, wherein the command is used for indicating to exit a preset operation mode, and the control terminal comprises at least one of the following components: the remote controller, the control panel on the equipment, the mobile terminal who is connected with the equipment.
In an optional embodiment, the apparatus may further include: the device comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring behavior data of at least one person in a target space at a first preset frequency within a first preset time, the target space comprises one or more activity areas of the at least one person in the space where the device is located, and the first preset time is in days; a second determination module to determine a first predetermined time period of each day based at least on the behavioral data.
In an optional embodiment, the second determining module includes: the acquisition unit is used for acquiring behavior data of at least one person in the target space at a second predetermined frequency within a second predetermined time after the first predetermined time; the correcting unit is used for correcting the behavior data of the at least one person in the target space collected at the first preset frequency according to the behavior data of the at least one person in the target space collected at the second preset frequency, wherein the second preset frequency is lower than the first preset frequency; a determining unit for determining a first predetermined time period in each day according to the modified behavior data.
In an optional embodiment, in the case that the device is an air conditioner, the predetermined operation mode further includes: a predetermined air supply pattern, wherein the air supply pattern includes at least one of: the air supply system comprises a first air supply mode, a second air supply mode and a third air supply mode, wherein the first air supply mode is used for controlling the air supply direction of the air conditioner to blow towards a human body, the second air supply mode is used for controlling the air supply direction of the air conditioner to blow away from the human body, and the third air supply mode is used for controlling the air supply direction of the air conditioner to blow around the human body.
In an alternative embodiment, the predetermined blowing pattern is learned from previous historical data, the historical data including: and the air supply mode of the air conditioner used by the person in the first historical preset time period.
Example 3
According to an embodiment of the present invention, there is also provided a storage medium including a stored program, wherein the program executes the device control method alternative or preferred to any one of embodiment 1.
Example 4
According to an embodiment of the present invention, there is further provided a processor, configured to execute a program, where the program executes the optional or preferred device control method in embodiment 1 when running.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (10)
1. An apparatus control method characterized by comprising:
judging whether the current time is within a first preset time period or not and whether the equipment does not detect personnel activity within a preset time period or not;
in the case that the current time is within the first predetermined time period and no human activity is detected within the predetermined time period, controlling the apparatus to execute a predetermined operation mode, wherein the predetermined operation mode comprises turning off the image recognition function or reducing the frequency of operation of the image recognition function;
acquiring behavior data of at least one person in a target space at a first preset frequency within a first preset time, wherein the target space comprises one or more activity areas of the at least one person in the space where the equipment is located, and the first preset time is in days; determining the first predetermined time period of each day based at least on the behavioral data.
2. The method of claim 1, wherein controlling the device to perform the predetermined mode of operation comprises at least one of:
controlling the device to execute the predetermined operating mode for a second predetermined period of time, wherein the second predetermined period of time is the same as or different from the first predetermined period of time;
and judging whether the time accumulation of the equipment entering the preset operation mode exceeds a preset threshold value or not, maintaining the preset operation mode under the condition that the time accumulation of the equipment not exceeding the preset threshold value, and otherwise, exiting the preset operation mode.
3. The method according to claim 1 or 2, wherein in case the predetermined operation mode is to reduce the frequency of operation of an image recognition function, the method further comprises:
determining whether a person is recognized to make a predetermined behavior by the image recognition function;
and controlling the equipment to exit the preset operation mode in the case that the personnel is determined to perform the preset action.
4. The method according to claim 1 or 2, characterized in that the method further comprises:
receiving a command sent to the equipment by a person through a control terminal, wherein the command is used for indicating to exit the preset operation mode, and the control terminal comprises at least one of the following components: the device comprises a remote controller, a control panel on the device and a mobile terminal connected with the device.
5. The method of claim 1, wherein determining the first predetermined time period for each day based at least on the behavioral data comprises:
after the first preset time, acquiring behavior data of at least one person in the target space at a second preset frequency in a second preset time;
correcting the behavior data of the at least one person in the target space collected at the first predetermined frequency according to the behavior data of the at least one person in the target space collected at the second predetermined frequency, wherein the second predetermined frequency is lower than the first predetermined frequency;
determining the first predetermined time period of each day based on the modified behavioral data.
6. The method of claim 1, wherein, in the case where the device is an air conditioner, the predetermined operating mode further comprises: a predetermined air supply pattern, wherein the air supply pattern comprises at least one of: the air supply system comprises a first air supply mode, a second air supply mode and a third air supply mode, wherein the first air supply mode is used for controlling the air supply direction of the air conditioner to blow towards a human body, the second air supply mode is used for controlling the air supply direction of the air conditioner to blow away from the human body, and the third air supply mode is used for controlling the air supply direction of the air conditioner to blow around the human body.
7. The method of claim 6, wherein the predetermined air supply patterns are learned from prior historical data, the historical data comprising: the air supply mode of the air conditioner used by the person in the first predetermined time period in history.
8. An apparatus control device, characterized by comprising:
the judging module is used for judging whether the current time is within a first preset time period or not and whether the equipment does not detect personnel activity within a preset time period or not;
a first control module, configured to control the apparatus to execute a predetermined operation mode if the current time is within the first predetermined time period and no human activity is detected within the predetermined time period, where the predetermined operation mode includes turning off an image recognition function or reducing a frequency of operation of the image recognition function;
the device comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring behavior data of at least one person in a target space at a first preset frequency within a first preset time, the target space comprises one or more activity areas of the at least one person in the space where the device is located, and the first preset time is in days; a second determination module to determine the first predetermined time period of each day based at least on the behavioral data.
9. A storage medium characterized by comprising a stored program, wherein the program executes the apparatus control method according to any one of claims 1 to 7.
10. A processor, characterized in that the processor is configured to execute a program, wherein the program executes the apparatus control method according to any one of claims 1 to 7.
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| CN109799491A (en) * | 2019-02-27 | 2019-05-24 | 珠海格力电器股份有限公司 | A kind of method and device for the operating mode controlling microwave radar equipment |
| CN112346348A (en) * | 2020-10-20 | 2021-02-09 | 漳州立达信光电子科技有限公司 | Indoor environment adjustment system |
| CN112989926B (en) * | 2021-02-03 | 2024-03-22 | 深圳达实智能股份有限公司 | Method and system for prolonging service life of monitoring camera |
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