CN114660953A - Remote control method for household power supply main control board of Internet of things - Google Patents
Remote control method for household power supply main control board of Internet of things Download PDFInfo
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Abstract
The application relates to the field, in particular to a remote control method for a home power supply main control board of the Internet of things, which comprises the steps of responding to a starting request sent by a timer and sending an environment analysis control instruction; acquiring real-time environment parameters based on analysis operation which is executed by the environment analysis device in response to the environment analysis control instruction; if the real-time environment parameters fall out of the preset environment parameter range, determining the current position of the single sofa as a position to be adjusted; when the position adjusting condition is met, sending a driving control instruction; if the real-time environment parameters fall into the preset environment parameter range, the operation is finished, otherwise, the operation is repeated, and the method and the device have the advantage of improving the using comfort of the home.
Description
Technical Field
The application relates to the field of power supply control, in particular to a remote control method for a home power supply main control board of the Internet of things.
Background
The intelligent home is embodied in an internet of things manner under the influence of the internet of things. The intelligent home is characterized in that various devices (such as audio and video devices, a lighting system, a curtain control device, an air conditioner control device, a security system, a digital cinema system, a network home appliance, three meters, and the like) in the home are connected together through the Internet of things technology, and multiple functions and means such as home appliance control, lighting control, curtain control, telephone remote control, indoor and outdoor remote control, anti-theft alarm, environment monitoring, heating and ventilation control, infrared forwarding, programmable timing control and the like are provided. Compared with the common home, the intelligent home has the traditional living function, has building, network communication, information household appliances and equipment automation, integrates system, structure, service and management into a whole, is efficient, comfortable, safe, convenient and environment-friendly, provides an all-around information interaction function, helps the family to keep smooth information communication with the outside, optimizes the life style of people, helps people to effectively schedule time, enhances the safety of home life, and even saves funds for various energy expenses.
However, in practical applications, the intelligence of the smart home devices is still not high, and most of the smart home devices need to be controlled by a user through operating a remote controller. If the user needs to adjust the position of the single sofa according to the requirement of the user on the environment of the position of the single sofa, the operation complexity of the user is improved, and the use experience of the user is influenced.
Disclosure of Invention
In order to improve the use comfort of the home, the application provides a home power main control board remote control method of the Internet of things.
In a first aspect, the application provides a home power main control board remote control method of the internet of things, which adopts the following technical scheme:
a remote control method for a home power main control board of the Internet of things comprises the following steps:
responding to a starting request sent by a timer, and sending an environment analysis control instruction;
acquiring real-time environment parameters based on analysis operation which is executed by the environment analysis device in response to the environment analysis control instruction;
if the real-time environment parameter is out of the preset environment parameter range, determining the current position of the single sofa as the position to be adjusted;
when the position adjusting condition is met, sending a driving control instruction;
and if the real-time environment parameters fall into a preset environment parameter range, ending the operation, otherwise, repeating the operation.
By adopting the technical scheme, after the time point preset by a user is reached, the timer sends a starting request to the processor, the processor responds to the starting request sent by the timer and sends an environment analysis control instruction to the environment analysis device, the environment analysis device responds to the environment analysis control instruction and executes analysis operation on the environment where the sofa is located currently, the processor acquires real-time environment parameters based on the analysis operation which the environment analysis device responds to the environment analysis control instruction and executes, and if the real-time environment parameters fall out of the range of the preset environment parameters, the processor determines that the position of the current sofa is the position needing to be adjusted; meanwhile, when the position adjusting condition is met, the processor sends a driving control instruction to the driving device, the driving device responds to the driving control instruction and executes driving operation, so that the position of the single sofa is changed, if the real-time environment parameter falls into the preset environment parameter range, the operation is finished, and if not, the operation is repeated; therefore, the operation can automatically adjust the position of the single sofa according to the preset requirements of the user, the operation complexity of the user is reduced, and the use comfort of the home is improved.
Optionally, before sending the environment analysis control instruction request in response to the start request sent by the timer, the method includes the following steps:
establishing a state table entry;
sending a state detection control instruction based on a starting request sent by a timer;
acquiring user state parameters based on the operation executed by the state detection equipment responding to the state detection control instruction;
and acquiring a preset environment parameter range based on the user state parameter and a corresponding environment parameter mapping relation table in a preset detection mechanism.
By adopting the technical scheme, the processor establishes the state table item, sends the state detection control instruction to the state detection device based on the starting request sent by the timer, the state detection device responds to the state detection control instruction to execute the operation of detecting the state of the user, the processor responds to the operation executed by the state detection control instruction based on the state detection device to acquire the state parameter of the user, and the processor acquires the range of the preset environment parameter based on the mapping relation table of the state parameter of the user and the corresponding environment parameter in the preset detection mechanism.
Optionally, the obtaining the user status parameter includes the following steps:
receiving human body temperature information sent by a temperature sensor and human body humidity information sent by a humidity sensor;
and determining to obtain user state parameters based on the human body temperature information and the human body humidity information.
By adopting the technical scheme, the user can feel the temperature and the humidity of the surrounding environment visually, and the processor can acquire the state parameters of the user more accurately by receiving the human body temperature information sent by the temperature sensor and the human body humidity information sent by the humidity sensor and based on the human body temperature information and the human body humidity information.
Optionally, when the position adjustment condition is satisfied, sending the driving control instruction includes the following steps:
receiving current bearing weight information of the single sofa sent by a gravity sensor, and acquiring real-time load parameters;
if the real-time load parameter is within a preset weight parameter range, determining that a first adjusting condition is met;
sending a detection control instruction;
acquiring real-time obstacle information based on the operation executed by the infrared sensor responding to the detection control instruction;
if the real-time obstacle information is out of the preset obstacle parameter range, confirming that a second adjusting condition is met;
and if the first adjusting condition and the second adjusting condition are simultaneously met, determining to send a driving control command.
By adopting the technical scheme, the processor receives the current load information of the single sofa sent by the gravity sensor, so as to obtain the real-time load parameter, the processor compares the real-time load parameter with the preset weight parameter range, and if the real-time load parameter is within the preset weight parameter range, the first adjusting condition is confirmed to be met; meanwhile, the processor sends a detection control instruction to the infrared sensor, the infrared sensor responds to the detection control instruction and executes an operation of detecting whether an obstacle exists in front of the single sofa, the processor acquires real-time obstacle information based on the operation executed by the infrared sensor responding to the detection control instruction, the processor compares the real-time obstacle information with a preset obstacle parameter, if the real-time obstacle information falls outside the range of the preset obstacle parameter, the second adjustment condition is confirmed to be met, and when the first adjustment condition and the second adjustment condition are met simultaneously, the processor determines to send a driving control instruction.
Optionally, the sending the driving control instruction includes sending the driving control instruction;
receiving the position information about the single sofa sent by the positioning equipment, and acquiring the position parameters of the single sofa;
and determining to generate and send planning route information based on the acquired position parameters and indoor layout information input by the user in advance.
By adopting the technical scheme, the processor receives the position information about the single sofa sent by the positioning equipment, so as to obtain the position parameters of the single sofa, and the processor determines to generate and send the planning route information based on the obtained position parameters and the indoor layout information input by the user in advance.
Optionally, before repeating the above operation, the following steps are included:
acquiring driving frequency information based on the operation executed by the driving device in response to the driving control instruction;
and if the driving frequency information falls into a preset driving frequency range, determining to execute the step of repeating the operation.
By adopting the technical scheme, the processor acquires the driving frequency information based on the operation executed by the driving device responding to the driving control instruction, compares the driving frequency information with the preset driving frequency range, and determines to execute the step of repeating the operation, so that the continuous change of the single sofa due to the fact that a proper environment position cannot be found all the time can be reduced, each component on the single sofa continuously works, and the service life is further shortened.
Optionally, after sending the driving control command, the method further includes the following steps:
sending a position acquisition control instruction based on an operation performed by a driving device in response to the driving control instruction;
and responding the position acquisition control instruction based on the positioning device, acquiring the appropriate position information of the single sofa, and recording.
Through adopting above-mentioned technical scheme, the treater sends the position to obtain control command based on the operation that drive arrangement response drive control command was carried out to positioner, positioner responds this position and obtains control command and carries out the operation of obtaining single sofa real-time position, the treater obtains control command based on positioner response position again, obtain the suitable positional information of single sofa, and the record, and then make the user can be through the historical data of calling single sofa position, it is comparatively comfortable that what of single sofa placed the position roughly to know.
In a second aspect, the application provides a home power main control board remote control system of the internet of things, which adopts the following technical scheme:
the utility model provides a house power main control board remote control system of thing networking, includes:
the environment analysis control instruction control module is used for responding to a starting request sent by the timer and sending an environment analysis control instruction;
the real-time environment parameter acquisition module is used for acquiring real-time environment parameters based on the analysis operation which is executed by the environment analysis device and responds to the environment analysis control instruction;
the adjustment analysis module is used for determining the current position of the single sofa as a position to be adjusted if the real-time environment parameter is out of a preset environment parameter range;
the drive control instruction module is used for sending a drive control instruction when the position adjustment condition is met;
and the operation control module is used for finishing the operation if the real-time environment parameter falls into a preset environment parameter range.
By adopting the technical scheme, after the time point preset by a user is reached, the timer sends a starting request to the environment analysis control instruction control module, the environment analysis control instruction control module responds to the starting request sent by the timer and sends an environment analysis control instruction to the environment analysis device, the environment analysis device responds to the environment analysis control instruction and carries out analysis operation on the environment where the sofa is located, the real-time environment parameter acquisition module acquires real-time environment parameters based on the analysis operation which is carried out by the environment analysis device in response to the environment analysis control instruction, if the real-time environment parameters fall outside the range of the preset environment parameters, the adjustment analysis module determines that the current sofa position is the position needing to be adjusted, and meanwhile, when the position adjustment condition is met, the drive control instruction module sends a drive control instruction to the drive device, and the drive device responds to the drive control instruction and carries out drive operation, so that the position of the single sofa is changed, if the real-time environmental parameters fall into the preset environmental parameter range, the operation is ended, otherwise, the operation is repeated.
In a third aspect, the present application provides an electronic device, which adopts the following technical solutions:
an electronic device comprises a memory, a processor and a computer program which is stored in the memory and can run on the processor, wherein when the processor executes the computer program, the steps of the remote control method for the home power main control board of the internet of things are realized.
In a fourth aspect, the present application provides a computer storage medium, which adopts the following technical solutions:
a computer storage medium comprises a memory, a processor and a computer program which is stored in the memory and can run on the processor, wherein the processor executes the computer program to realize the steps of the remote control method of the home power main control board of the Internet of things.
To sum up, the application comprises the following beneficial technical effects:
after the time point preset by a user is reached, the timer sends a starting request to the processor, the processor responds to the starting request sent by the timer and sends an environment analysis control instruction to the environment analysis device, the environment analysis device responds to the environment analysis control instruction and executes analysis operation on the environment where the current sofa is located, the processor obtains real-time environment parameters based on the analysis operation which the environment analysis device responds to the environment analysis control instruction and executes, and if the real-time environment parameters fall out of the range of the preset environment parameters, the processor determines that the current position of the single sofa is the position needing to be adjusted; meanwhile, when the position adjusting condition is met, the processor sends a driving control instruction to the driving device, the driving device responds to the driving control instruction and executes driving operation, so that the position of the single sofa is changed, if the real-time environment parameter falls into the preset environment parameter range, the operation is finished, and if not, the operation is repeated; therefore, the operation can automatically adjust the position of the single sofa according to the preset requirements of the user, the operation complexity of the user is reduced, and the use comfort of the home is improved;
the processor receives the human body temperature information sent by the temperature sensor and the human body humidity information sent by the humidity sensor, and can further accurately acquire the user state parameters based on the human body temperature information and the human body humidity information;
the processor acquires the driving frequency information based on the operation executed by the driving device responding to the driving control instruction, compares the driving frequency information with a preset driving frequency range, and determines to execute the step of repeating the operation, so that the continuous change of the single sofa due to the fact that a proper environment position cannot be found all the time can be reduced, each component on the single sofa continuously works, and the service life is further shortened.
Drawings
Fig. 1 is a flowchart of a remote control method for a home power main control board of the internet of things in the embodiment of the application.
FIG. 2 is a flow chart of steps A1-A4 in the present embodiment.
Fig. 3 is a flowchart of the sub-step of step a3 in the embodiment of the present application.
Fig. 4 is a flowchart of the sub-step of step S4 in the embodiment of the present application.
FIG. 5 is a flowchart illustrating the sub-steps of steps B1-B2 in an embodiment of the present application.
FIG. 6 is a flowchart illustrating the sub-steps of steps C1-C2 in the embodiment of the present application.
FIG. 7 is a flowchart illustrating the sub-steps of steps D1-D2 in the embodiment of the present application.
Fig. 8 is a schematic block diagram of a home power main control board remote control system of the internet of things in the embodiment of the present application.
Reference numerals: 1. an environment analysis control instruction module; 2. a real-time environmental parameter acquisition module; 3. adjusting an analysis module; 4. a drive control instruction module; 5. a status table entry module; 6. a state detection control instruction module; 7. a state acquisition module; 8. an environmental parameter range module; 9. a human body information module; 10. a user state parameter module; 11. a load parameter module; 12. a load parameter comparison module; 13. a detection control instruction module; 14. an obstacle information module; 15. an obstacle information comparison module; 16. a drive control confirmation module; 17. a position parameter acquisition module; 18. a route planning module; 19. a position acquisition control instruction module; 20. a position information recording module; 21. a driving frequency module; 22. a driving frequency comparison module; 23. and operating the control module.
Detailed Description
The present application is described in further detail below with reference to figures 1-7.
The embodiment of the application discloses a remote control method for a home power main control board of the Internet of things, which can improve the comfort level of home use,
the remote control method for the household power supply main control board of the Internet of things specifically comprises the following steps:
referring to fig. 1;
s1: and sending an environment analysis control command in response to a starting request sent by the timer.
It should be noted that the time information recorded by the timer is preset by the user, for example, the user usually works and lives regularly and stably, the user can set the timer by using the time node of the single sofa, and when the timer reaches the time node, the timer can send a start request to the processor.
Referring to fig. 2, corresponding to step S1, the method further includes the following steps:
a1: and establishing a state table entry.
It should be noted that, the status table entry here is presented in the form of a blank table, in this embodiment, the format of the blank table is two columns, and the number of rows is not limited, for example, four rows, five rows, and the like are all possible.
A2: and sending a state detection control instruction based on the starting request sent by the timer.
As described above, the time information recorded by the timer is set by the user in advance, and the time information recorded by the timer in this step is earlier than the time information set by the user in step S1.
A3: and acquiring the user state parameters based on the operation executed by the state detection equipment in response to the state detection control instruction.
A4: and acquiring a preset environment parameter range based on the mapping relation table of the user state parameters and the corresponding environment parameters in a preset detection mechanism.
It should be noted that, the mapping relationship table in the embodiment of the present application is set for a user, and the mapping relationship in a part of the mapping relationship table is illustrated, for example, when the user state is at a low body surface temperature, the temperature value in the corresponding environment parameter is large.
Referring to fig. 3, step a3 includes the following sub-steps:
a31: and receiving the human body temperature information sent by the temperature sensor and the human body humidity information sent by the humidity sensor.
A32: and determining and acquiring user state parameters based on the human body temperature information and the human body humidity information.
It should be noted that, the user feels more intuitively about the temperature and the humidity of the surrounding environment, and the processor receives the human body temperature information and the human body humidity information sent by the temperature sensor and the humidity sensor, and based on the human body temperature information and the human body humidity information, the user state parameters can be acquired more accurately.
S2: and acquiring real-time environment parameters based on analysis operation which is executed by the environment analysis device in response to the environment analysis control command.
It should be noted that, in the embodiment of the present application, the environment analysis device includes multiple types, including a temperature sensor, an illumination intensity sensor, and a humidity sensor, which are all conventional environment detection and analysis devices, and is mainly used for detecting environmental factors such as temperature, illumination intensity, humidity, and the like in an environment where the single sofa is located, and therefore, the description thereof is omitted here.
S3: and if the real-time environment parameters fall out of the preset environment parameter range, determining the current position of the single sofa as the position to be adjusted.
It should be noted that the preset environmental parameter range is an environmental parameter range preset by a user in advance, and the environmental parameter is specifically the numerical values of the temperature, the illumination intensity, and the humidity.
S4: and when the position adjusting condition is met, sending a driving control instruction.
Referring to fig. 4, step S4 includes the following sub-steps:
s41: and receiving the current bearing weight information of the single sofa sent by the gravity sensor to obtain real-time load parameters.
S42: and if the real-time load parameter is within the preset weight parameter range, determining that the first adjusting condition is met.
S43: and sending a detection control instruction.
S44: and acquiring real-time obstacle information based on the operation executed by the infrared sensor responding to the detection control instruction.
S45: and if the real-time obstacle information is out of the preset obstacle parameter range, confirming that a second adjusting condition is met.
S46: and if the first adjusting condition and the second adjusting condition are simultaneously met, determining to send a driving control command.
Specifically, the processor receives weight information currently borne by the single sofa and sent by the gravity sensor, so as to obtain a real-time load parameter, compares the real-time load parameter with a preset weight parameter range, and confirms that a first adjusting condition is met if the real-time load parameter falls within the preset weight parameter range; meanwhile, the processor sends a detection control instruction to the infrared sensor, the infrared sensor responds to the detection control instruction and executes an operation of detecting whether an obstacle exists in front of the single sofa, the processor acquires real-time obstacle information based on the operation executed by the infrared sensor responding to the detection control instruction, the processor compares the real-time obstacle information with a preset obstacle parameter, if the real-time obstacle information falls out of the range of the preset obstacle parameter, it is confirmed that a second adjustment condition is met, and when the first adjustment condition and the second adjustment condition are met simultaneously, the processor determines to send a driving control instruction.
Referring to fig. 5, after the driving control command is sent in step S4, the method further includes the following steps:
b1: and receiving the position information about the single sofa sent by the positioning equipment, and acquiring the position parameters of the single sofa.
B2: and determining to generate and send planning route information based on the acquired position parameters and the indoor layout information input by the user.
It should be noted that the indoor layout information input by the user specifically includes the arrangement of the indoor furniture, and the information is input by the user, so that the actual indoor layout can be modified according to the user.
S5: and if the real-time environment parameters fall into the preset environment parameter range, ending the operation, otherwise, repeating the operation.
Referring to fig. 6, after the drive control command is sent in step S4, the method further includes the following steps:
c1: the position acquisition control instruction is transmitted based on an operation performed by the driving device in response to the drive control instruction.
C2: and acquiring a control instruction based on the response position of the positioning device, acquiring the proper position information of the single sofa, and recording.
Specifically, the treater sends the position to the positioner and acquires control command based on the operation that drive arrangement response drive control command was carried out, positioner responds this position and acquires control command and carries out the operation of acquireing single sofa real-time position, the treater acquires control command based on positioner response position again, acquires the suitable positional information of single sofa, and the record, and then makes the user can roughly know which of single sofa places the position comparatively comfortable through the historical data who calls single sofa position.
Referring to fig. 7, before repeating the above operation in step S5, the following steps are included:
d1: the driving number information is acquired based on an operation performed by the driving device in response to the driving control instruction.
D2: and if the driving frequency information falls into the preset driving frequency range, determining to execute the step of repeating the operation.
It should be noted that, the processor acquires the driving frequency information based on the operation executed by the driving device in response to the driving control instruction, and the processor compares the driving frequency information with the preset driving frequency range to determine the step of repeating the above operation, so that the situations that the change of the sofa is continuously performed because the proper environmental position cannot be found all the time, each component on the sofa continuously works, and the service life is further shortened can be reduced.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
This embodiment still provides a house power main control panel remote control system of thing networking, referring to, this house power main control panel remote control system of thing networking includes: the system comprises an environment analysis control instruction module 1, a real-time environment parameter acquisition module 2, an adjustment analysis module 3, a drive control instruction module 4, an operation control module 23, a state table item module 5, a state detection control instruction module 6, a state acquisition module 7, an environment parameter range module 8, a human body information module 9, a user state parameter module 10, a load parameter module 11, a load parameter comparison module 12, a detection control instruction module 13, an obstacle information module 14, an obstacle information comparison module 15, a drive control confirmation module 16, a position parameter acquisition module 17, a route planning module 18, a position acquisition control instruction module 19, a position information recording module 20, a drive frequency module 21 and a drive frequency comparison module 22. The detailed description of each functional module is as follows:
and the environment analysis control instruction module 1 is used for responding to a starting request sent by the timer and sending an environment analysis control instruction.
And the real-time environment parameter acquisition module 2 is used for acquiring real-time environment parameters based on analysis operation which is executed by the environment analysis device in response to the environment analysis control instruction.
And the adjustment analysis module 3 is used for determining the current position of the single sofa as the position to be adjusted if the real-time environment parameter is out of the preset environment parameter range.
And the driving control instruction module 4 is used for sending a driving control instruction when the position adjusting condition is met.
And the state table entry module 5 is used for establishing a state table entry.
And the state detection control instruction module 6 is used for sending a state detection control instruction based on the starting request sent by the timer.
And the state acquisition module 7 is used for acquiring the user state parameters based on the operation executed by the state detection equipment responding to the state detection control instruction.
And the environment parameter range module 8 is configured to obtain a preset environment parameter range based on the user state parameter and a corresponding environment parameter mapping relation table in a preset detection mechanism.
And the human body information module 9 is used for receiving the human body temperature information sent by the temperature sensor and the human body humidity information sent by the humidity sensor.
And the user state parameter module 10 is used for determining and acquiring the user state parameters based on the human body temperature information and the human body humidity information.
And the load parameter module 11 is used for receiving the current load information of the single sofa sent by the gravity sensor and acquiring real-time load parameters.
And the load parameter comparison module 12 is configured to determine that the first adjustment condition is satisfied if the real-time load parameter falls within a preset weight parameter range.
And the detection control instruction module 13 is configured to send a detection control instruction.
And the obstacle information module 14 is used for acquiring real-time obstacle information based on the operation executed by the infrared sensor in response to the detection control instruction.
And the obstacle information comparison module 15 is used for confirming that a second adjustment condition is met if the real-time obstacle information falls outside a preset obstacle parameter range.
And the drive control confirming module 16 is configured to determine to send a drive control instruction if the first adjustment condition and the second adjustment condition are simultaneously met.
And the position parameter acquiring module 17 is configured to receive the position information about the single sofa sent by the positioning device, and acquire the position parameter of the single sofa.
And the planned route module 18 is used for determining to generate and send planned route information based on the acquired position parameters and the indoor layout information input by the user.
And a position acquisition control instruction module 19, configured to send a position acquisition control instruction based on an operation performed by the driving device in response to the driving control instruction.
And the position information recording module 20 is used for acquiring and recording the appropriate position information of the single sofa based on the position acquisition control instruction responded by the positioning device.
And a driving frequency module 21, configured to obtain driving frequency information based on an operation performed by the driving device in response to the driving control instruction.
And a driving frequency comparison module 22, configured to determine to execute the step of repeating the above operation if the driving frequency information falls within a preset driving frequency range.
For specific limitations of the home power main control board remote control system of the internet of things, reference may be made to the above limitations on the method, which are not described herein again. The various modules in the system described above may be implemented in whole or in part by software, hardware, and combinations thereof. The modules can be embedded in a hardware form or independent from a processor in the electronic device, and can also be stored in a memory in the electronic device in a software form, so that the processor can call and execute operations corresponding to the modules.
The present embodiments also provide an electronic device including a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the electronic device is configured to provide computing and control capabilities. The memory of the electronic equipment comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the electronic device is used for connecting and communicating with an external terminal through a network. When the computer program is executed by the processor, the remote control method of the household power supply main control board of the Internet of things is realized:
s1: responding to a starting request sent by a timer, and sending an environment analysis control instruction;
s2: acquiring real-time environment parameters based on analysis operation which is executed by the environment analysis device in response to the environment analysis control instruction;
s3: if the real-time environment parameters fall out of the preset environment parameter range, determining the current position of the single sofa as a position to be adjusted;
s4: when the position adjusting condition is met, sending a driving control instruction;
s5: if the real-time environment parameters fall into the preset environment parameter range, the operation is ended, otherwise, the operation is repeated.
When being executed by a processor, the computer program can realize the remote control method of the household power supply main control board of the Internet of things in any one of the method embodiments.
The present embodiments also provide a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of:
s1: responding to a starting request sent by a timer, and sending an environment analysis control instruction;
s2: acquiring real-time environment parameters based on analysis operation which is executed by the environment analysis device in response to the environment analysis control instruction;
s3: if the real-time environmental parameters fall out of the preset environmental parameter range, determining the current position of the single sofa as the position to be adjusted;
s4: when the position adjusting condition is met, sending a driving control instruction;
s5: and if the real-time environment parameters fall into the preset environment parameter range, ending the operation, otherwise, repeating the operation.
When being executed by a processor, the computer program can realize the remote control method of the household power supply main control board of the Internet of things in any one of the method embodiments.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware related to instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, the computer program can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the system is divided into different functional units or modules to perform all or part of the above-mentioned functions.
The above embodiments are only used to illustrate the technical solutions of the present application, and not to limit the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical states may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present application and are intended to be included within the scope of the present application.
Claims (10)
1. A remote control method for a home power main control board of the Internet of things is characterized by comprising the following steps:
responding to a starting request sent by a timer, and sending an environment analysis control instruction;
acquiring real-time environment parameters based on analysis operation which is executed by the environment analysis device in response to the environment analysis control instruction;
if the real-time environment parameter is out of the preset environment parameter range, determining the current position of the single sofa as the position to be adjusted;
when the position adjusting condition is met, sending a driving control instruction;
and if the real-time environment parameters fall into a preset environment parameter range, ending the operation, otherwise, repeating the operation.
2. The remote control method for the home power main control panel of the internet of things according to claim 1, wherein the step of sending the environment analysis control instruction request in response to the start request sent by the timer comprises the following steps:
establishing a state table entry;
sending a state detection control instruction based on a starting request sent by a timer;
acquiring user state parameters based on the operation executed by the state detection equipment responding to the state detection control instruction;
and acquiring a preset environment parameter range based on the user state parameter and a corresponding environment parameter mapping relation table in a preset detection mechanism.
3. The remote control method for the home power main control board of the Internet of things according to claim 2, wherein the step of obtaining the user state parameters comprises the following steps:
receiving human body temperature information sent by a temperature sensor and human body humidity information sent by a humidity sensor;
and determining to acquire user state parameters based on the human body temperature information and the human body humidity information.
4. The remote control method for the home power main control board of the internet of things according to claim 1, wherein when a position adjustment condition is met, the sending of the driving control command comprises the following steps:
receiving current bearing weight information of the single sofa sent by a gravity sensor, and acquiring real-time load parameters;
if the real-time load parameter is within a preset weight parameter range, determining that a first adjusting condition is met;
sending a detection control instruction;
acquiring real-time obstacle information based on the operation executed by the infrared sensor responding to the detection control instruction;
if the real-time obstacle information is out of the preset obstacle parameter range, confirming that a second adjusting condition is met;
and if the first adjusting condition and the second adjusting condition are simultaneously met, determining to send a driving control command.
5. The remote control method for the household power supply main control board of the Internet of things according to claim 1, wherein the step of sending the driving control command comprises the following steps;
receiving the position information about the single sofa sent by the positioning equipment, and acquiring the position parameters of the single sofa;
and determining to generate and send planning route information based on the acquired position parameters and the indoor layout information input by the user.
6. The remote control method for the household power supply main control board of the Internet of things according to claim 1, wherein the step of repeating the above operation comprises the following steps:
acquiring driving frequency information based on an operation performed by a driving device in response to the driving control instruction;
and if the driving frequency information falls into a preset driving frequency range, determining to execute the step of repeating the operation.
7. The remote control method for the household power supply main control board of the internet of things according to claim 1, wherein the method further comprises the following steps after the driving control command is sent:
sending a position acquisition control instruction based on an operation performed by a driving device in response to the driving control instruction;
and responding the position acquisition control instruction based on the positioning device, acquiring the appropriate position information of the single sofa, and recording.
8. The utility model provides a house power main control board remote control system of thing networking which characterized in that includes:
the environment analysis control instruction control module is used for responding to a starting request sent by the timer and sending an environment analysis control instruction;
the real-time environment parameter acquisition module (2) is used for acquiring real-time environment parameters based on analysis operation which is executed by the environment analysis device in response to the environment analysis control instruction;
the adjustment analysis module (3) is used for determining the current position of the single sofa to be adjusted if the real-time environment parameter is out of the preset environment parameter range;
the drive control instruction module (4) is used for sending a drive control instruction when the position adjustment condition is met;
and the operation control module (23) is used for finishing the operation if the real-time environment parameter falls into a preset environment parameter range.
9. An electronic device, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method for remotely controlling the home power main control board of the internet of things according to any one of claims 1 to 7 when executing the computer program.
10. A computer storage medium, characterized in that the computer readable storage medium stores a computer program, and the computer program is executed by a processor to implement the steps of the remote control method for the home power main control board of the internet of things according to any one of claims 1 to 7.
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