CN110726204B - Automatic recharging control method and device for air-conditioning robot - Google Patents
Automatic recharging control method and device for air-conditioning robot Download PDFInfo
- Publication number
- CN110726204B CN110726204B CN201911039415.9A CN201911039415A CN110726204B CN 110726204 B CN110726204 B CN 110726204B CN 201911039415 A CN201911039415 A CN 201911039415A CN 110726204 B CN110726204 B CN 110726204B
- Authority
- CN
- China
- Prior art keywords
- air
- conditioning robot
- threshold value
- charging pile
- robot
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/70—Control systems characterised by their outputs; Constructional details thereof
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/88—Electrical aspects, e.g. circuits
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/0068—Battery or charger load switching, e.g. concurrent charging and load supply
Abstract
The invention provides an automatic recharging control method and device for an air conditioning robot, wherein the method comprises the following steps: monitoring the real-time electric quantity of the air-conditioning robot, and controlling the air-conditioning robot to move to a target charging pile for charging when the fact that the real-time electric quantity is smaller than a preset first threshold value is obtained; and when the fact that the real-time electric quantity of the air-conditioning robot in the charging process is larger than a preset second threshold value is known, wherein the second threshold value is larger than the first threshold value, the air-conditioning robot is controlled to move to a user position corresponding to the current moment for cooling. From this, set up air conditioner robot's the automatic electric quantity that charges and the automatic electric quantity that uses, carry out automatic charging and work based on the electric quantity condition, improved air conditioner robot's intellectuality.
Description
Technical Field
The invention belongs to the technical field of smart home, and particularly relates to an automatic recharging control method and device for an air-conditioning robot.
Background
At present, the air conditioning robot is widely applied as air conditioning equipment in the life and production process of people. The air conditioning robot adjusts the indoor temperature according to the temperature adjusting instruction of the user, so that better environmental experience is brought to the user.
In the related technology, the air conditioner adjusting robot charges according to the instruction of the user, waits for the next instruction of the user at the position of the charging pile after the charging is finished, completely depends on the operation instruction of the user for charging and working, is low in intelligent degree and does not adapt to the current intelligent home trend.
Disclosure of Invention
The invention provides an automatic recharging control method and device for an air-conditioning robot, and aims to solve the technical problem that the charging control of the air-conditioning robot is not intelligent enough in the prior art.
An embodiment of a first aspect of the present invention provides an automatic recharging control method for an air conditioning robot, including: monitoring the real-time electric quantity of the air-conditioning robot, and controlling the air-conditioning robot to move to a target charging pile for charging when the fact that the real-time electric quantity is smaller than a preset first threshold value is obtained; and when the fact that the real-time electric quantity of the air-conditioning robot in the charging process is larger than a preset second threshold value is known, wherein the second threshold value is larger than the first threshold value, the air-conditioning robot is controlled to move to a user position corresponding to the current moment for refrigeration.
An embodiment of a second aspect of the present invention provides an automatic recharging control device for an air conditioning robot, including: the first control module is used for monitoring the real-time electric quantity of the air-conditioning robot, and controlling the air-conditioning robot to move to a target charging pile for charging when the fact that the real-time electric quantity is smaller than a preset first threshold value is obtained; and the second control module is used for controlling the air-conditioning robot to move to a user position corresponding to the current moment for refrigeration when the fact that the real-time electric quantity of the air-conditioning robot in the charging process is larger than a preset second threshold value is known, wherein the second threshold value is larger than the first threshold value.
An embodiment of a third aspect of the present invention proposes a computer-readable storage medium on which a computer program is stored, which when executed by a processor implements the automatic recharge control method of the air-conditioning robot as proposed in the aforementioned embodiment of the first aspect of the present invention.
One or more technical solutions provided in the embodiments of the present invention have at least the following technical effects or advantages:
monitoring the real-time electric quantity of the air-conditioning robot, controlling the air-conditioning robot to move to a target charging pile for charging when the fact that the real-time electric quantity is smaller than a preset first threshold value is obtained, and then controlling the air-conditioning robot to move to a user position corresponding to the current moment for refrigerating when the fact that the real-time electric quantity of the air-conditioning robot in the charging process is larger than a preset second threshold value which is larger than the first threshold value is obtained. From this, set up air conditioner robot's the automatic electric quantity that charges and the automatic electric quantity that uses, carry out automatic charging and work based on the electric quantity condition, improved air conditioner robot's intellectuality.
Drawings
The foregoing and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a flowchart of an automatic recharge control method of an air conditioning robot according to an embodiment of the present invention;
fig. 2 is a schematic view of an application scenario of an automatic recharge control method of an air-conditioning robot according to an embodiment of the present invention;
fig. 3 is a schematic structural view of an automatic recharging control apparatus of an air conditioning robot according to an embodiment of the present invention;
fig. 4 is a schematic structural view of an automatic recharging control apparatus of an air conditioning robot according to another embodiment of the present invention;
fig. 5 is a schematic structural view of an automatic recharge control apparatus of an air conditioning robot according to still another embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are illustrative and intended to be illustrative of the invention and are not to be construed as limiting the invention.
An automatic recharge control method and apparatus of an air conditioning robot according to an embodiment of the present invention will be described with reference to the accompanying drawings. The air-conditioning robot provided by the embodiment of the invention can refer to household appliances capable of realizing the temperature regulation function in the embodiment of the invention, and the household appliances can move to a charging pile for charging.
Aiming at the technical problem that the charging and working of the existing air conditioning robot completely depend on the operation instruction of a user in the background technology, the invention sets the automatic charging electric quantity and the automatic using electric quantity of the air conditioning robot, automatically charges and works based on the electric quantity condition, and improves the intelligence of the air conditioning robot.
Specifically, fig. 1 is a flowchart of an automatic recharge control method of an air conditioning robot according to an embodiment of the present invention, as shown in fig. 1, the method including:
Specifically, a first threshold value for the charging action is preset, the real-time electric quantity of the air-conditioning robot is monitored in real time, and when the electric quantity is smaller than the preset first threshold value, the air-conditioning robot is controlled to move to a target charging pile for charging. The target charging pile can be any one charging pile, or a charging pile which is closest to the current air-conditioning robot, or the charging pile which is determined according to other strategies can be used, for example, the charging pile which is closest to the user is determined to be the target charging pile according to the position of the current user, so that service can be provided for the user in time.
The method comprises the steps that in different application scenes, the real-time electric quantity of the air-conditioning robot is monitored in different modes, as a possible implementation mode, the electric quantity icon of the air-conditioning robot is monitored, and the real-time electric quantity is determined according to the image characteristics of the electric quantity icon.
In the actual implementation process, the positions of the target charging piles are determined in different ways, as a possible implementation manner, an indoor environment can be scanned through a laser radar, a map is built according to a SLAM algorithm, one or more charging pile positions and one or more user positions are marked in the map, and further, when one charging pile position is marked in the map, a first path from the current position to the charging pile position is determined according to the map, the first path can be set according to the room layout, the air-conditioning robot is controlled to move to the target charging pile for charging according to the first path, or when a plurality of charging pile positions are marked in the map, a target position closest to the charging pile position is determined from the plurality of charging pile positions according to the current position of the air-conditioning robot, and a second path from the current position to the target charging pile position is determined, and controlling the air-conditioning robot to move to the target charging pile for charging according to the second path.
And step 102, when the fact that the real-time electric quantity of the air-conditioning robot in the charging process is larger than a preset second threshold value is known, wherein the second threshold value is larger than the first threshold value, controlling the air-conditioning robot to move to a user position corresponding to the current moment for cooling.
It should be noted that, in different application scenarios, the manner of setting the first threshold and the second threshold is different, and the following is exemplified:
example one:
in the example, the refrigeration temperature and the use duration set by the user at each time and each position are collected, data analysis is performed on the refrigeration temperature and the use duration set at each time and each position, and a first threshold value for recharging the air-conditioning robot and a second threshold value for refrigerating the air-conditioning robot corresponding to different user scene information are set, wherein the second threshold value is greater than the first threshold value. The refrigeration temperature and the service life set at each time and each position can be subjected to data analysis according to the neural network model, and the corresponding first threshold and second threshold are determined.
That is, in this example, adaptive learning is performed according to the operation behavior of the user, and the first threshold value for automatic charging and the second threshold value for cooling operation, which may not be the full charge amount, are learned. Each scene information corresponds to a set of first and second thresholds to meet the scene requirements under the scene. The scene information may include a sleep scene, etc.
Example two:
in this example, a threshold setting interface is presented on the terminal device of the user, and the user may set a first threshold and a second threshold on the corresponding setting interface and send the first threshold and the second threshold to the air-conditioning robot.
Specifically, when the fact that the real-time electric quantity of the air-conditioning robot in the charging process is larger than a preset second threshold value is known, wherein the second threshold value is larger than the first threshold value, the air-conditioning robot is controlled to move to a user position corresponding to the current moment for cooling, that is, when the second threshold value is charged, the air-conditioning robot is controlled to cool, and the user operation instruction does not need to be waited. For example, when the first threshold is 10% of the total electric quantity, the second threshold is 50% of the total electric quantity, the scene user is set as a dining scene, and the expected use time is 1 hour, according to the scene, when the electric quantity of the air conditioner reaches 50% of the total electric quantity, the air conditioner moves to a specified position of a restaurant to refrigerate the user; when the electric quantity of the air conditioner is lower than 10% of the total electric quantity, the air conditioner automatically returns to the charging pile for charging.
When the first threshold value and the second threshold value are learned in a self-adaptive manner in the first example, pre-stored user scene information may be queried, a user position and a scene temperature corresponding to a current frequent visitor may be obtained, a third path from the target charging pile position to the user position may be determined according to the map determined in the above embodiment, the third path may be set according to a room layout between the target charging pile position and the user position, the air-conditioning robot may be controlled to move to the user position according to the third path, and refrigeration may be performed according to the scene temperature.
In an embodiment of the present invention, in order to further improve the intelligent degree of the air-conditioning robot, an adjustment instruction of the user on the corresponding control terminal for the first threshold and the second threshold may be further determined each time, and the first threshold and the second threshold corresponding to each piece of scene information may be optimized according to the adjustment instruction.
Certainly, in order to avoid that the air-conditioning robot performs cooling when the user does not need the air-conditioning robot, before the air-conditioning robot moves to the user position corresponding to the current moment to perform cooling, a confirmation message may be sent to the user, and when the user does not send a rejection indication within a preset time, for example, no voice rejection occurs, the cooling operation is started.
Based on the above embodiments, as shown in fig. 2, the execution main body of the method may be an electric quantity control center, the electric quantity control center communicates with a cloud end/APP, a battery connected to the electric quantity control center is controlled based on an instruction of the cloud end/APP to perform the charging and discharging processes, in addition, the control center may be further connected with a laser radar to receive a map and the like obtained by the laser radar through mobile scanning, the laser radar may obtain a location of a user and a location of a charging pile based on scanning, and is convenient to return to the charging pile for charging and move to the user location for refrigeration.
To sum up, the automatic recharging control method for the air-conditioning robot in the embodiment of the present invention monitors the real-time electric quantity of the air-conditioning robot, controls the air-conditioning robot to move to the target charging pile for charging when it is known that the real-time electric quantity is smaller than a preset first threshold, and controls the air-conditioning robot to move to the user position corresponding to the current time for cooling when it is known that the real-time electric quantity of the air-conditioning robot in the charging process is larger than a preset second threshold, wherein the second threshold is larger than the first threshold. From this, set up air conditioner robot's the automatic electric quantity that charges and the automatic electric quantity that uses, carry out automatic charging and work based on the electric quantity condition, improved air conditioner robot's intellectuality.
In order to realize the embodiment, the invention further provides an automatic recharging control device of the air-conditioning robot.
Fig. 3 is a schematic structural view of an automatic recharging control apparatus of an air-conditioning robot according to an embodiment of the present invention, and as shown in fig. 3, the automatic recharging control apparatus of an air-conditioning robot includes: a first control module 10, a second control module 20, wherein,
the first control module 10 is configured to monitor a real-time electric quantity of the air-conditioning robot, and when the fact that the real-time electric quantity is smaller than a preset first threshold value is known, the air-conditioning robot is controlled to move to a target charging pile for charging.
In an embodiment of the present invention, the first control module 10 is specifically configured to:
when a charging pile position is calibrated in a map, a first path from the current position to the charging pile position is determined according to the map, and the air-conditioning robot is controlled to move to a target charging pile for charging according to the first path; or when the positions of the charging piles are calibrated in the map, the position of the target charging pile closest to the charging pile is determined from the positions of the charging piles according to the current position of the air-conditioning robot, a second path from the current position to the position of the target charging pile is determined, and the air-conditioning robot is controlled to move to the target charging pile for charging according to the second path.
And the second control module 20 is configured to, when it is known that the real-time electric quantity of the air-conditioning robot in the charging process is greater than a preset second threshold, control the air-conditioning robot to move to a user position corresponding to the current time to perform cooling if the second threshold is greater than the first threshold.
In an embodiment of the present invention, the second control module 20 is specifically configured to:
inquiring prestored user scene information, and acquiring a user position and a scene temperature corresponding to the current moment;
and determining a third path from the target charging pile position to the user position according to the map, controlling the air-conditioning robot to move to the user position according to the third path, and refrigerating according to the scene temperature.
In an embodiment of the present invention, as shown in fig. 4, on the basis of fig. 3, the apparatus further includes: an acquisition module 30 and a setup module 40, wherein,
and the acquisition module 30 is used for acquiring the refrigeration temperature and the use time set by the user at each moment and each position.
And the setting module 40 is configured to perform data analysis on the refrigeration temperature and the usage duration set at each time and each location, and set a first threshold value for recharging the air-conditioning robot and a second threshold value for refrigerating the air-conditioning robot, which correspond to different user scene information, where the second threshold value is greater than the first threshold value.
In an embodiment of the present invention, as shown in fig. 5, on the basis of fig. 3, the apparatus further includes: the calibration module 50 is configured to, among other things,
and the calibration module 50 is used for scanning the indoor environment through the laser radar, constructing a map according to the SLAM algorithm, and calibrating one or more charging pile positions and one or more user positions in the map.
It should be noted that the foregoing explanation of the embodiment of the automatic recharging control method for the air-conditioning robot is also applicable to the automatic recharging control device for the air-conditioning robot in the embodiment of the present invention, and the implementation principle is similar, and is not repeated herein.
In order to implement the above embodiments, the present invention also proposes a computer-readable storage medium having stored thereon a computer program that, when executed, implements the automatic recharge control method of the air conditioning robot described in the above embodiments.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing steps of a custom logic function or process, and alternate implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present invention.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. If implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present invention may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc. Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (9)
1. An automatic recharging control method of an air conditioning robot is characterized by comprising the following steps:
monitoring the real-time electric quantity of the air-conditioning robot, and controlling the air-conditioning robot to move to a target charging pile for charging when the fact that the real-time electric quantity is smaller than a preset first threshold value is obtained;
when the fact that the real-time electric quantity of the air-conditioning robot in the charging process is larger than a preset second threshold value is known, wherein the second threshold value is larger than the first threshold value, the air-conditioning robot is controlled to move to a user position corresponding to the current moment for refrigeration;
collecting the refrigeration temperature and the use duration set by a user at each moment and each position;
and performing data analysis on the refrigeration temperature and the service life set at each moment and each position, and setting a first threshold value corresponding to different user scene information and used for recharging the air-conditioning robot and a second threshold value corresponding to different user scene information and used for refrigerating the air-conditioning robot, wherein the second threshold value is greater than the first threshold value.
2. The method of claim 1, further comprising:
scanning an indoor environment through a laser radar, constructing a map according to a SLAM algorithm, and marking one or more charging pile positions and one or more user positions in the map.
3. The method of claim 2, wherein the controlling the air conditioning robot to move to a target charging post for charging comprises:
when a charging pile position is calibrated in the map, determining a first path from the current position to the charging pile position according to the map, and controlling the air-conditioning robot to move to a target charging pile for charging according to the first path; alternatively, the first and second electrodes may be,
when the positions of the charging piles are calibrated in the map, the position of the target charging pile closest to the charging pile is determined from the positions of the charging piles according to the current position of the air-conditioning robot, a second path from the current position to the position of the target charging pile is determined, and the air-conditioning robot is controlled to move to the target charging pile for charging according to the second path.
4. The method as claimed in claim 3, wherein the controlling the air conditioning robot to move to a user location corresponding to a current time for cooling comprises:
inquiring prestored user scene information, and acquiring a user position and a scene temperature corresponding to the current moment;
determining a third path from the target charging pile position to the user position according to the map, controlling the air-conditioning robot to move to the user position according to the third path, and refrigerating according to the scene temperature.
5. An automatic recharging control device of an air conditioning robot is characterized by comprising:
the first control module is used for monitoring the real-time electric quantity of the air-conditioning robot, and controlling the air-conditioning robot to move to a target charging pile for charging when the fact that the real-time electric quantity is smaller than a preset first threshold value is obtained;
the second control module is used for controlling the air-conditioning robot to move to a user position corresponding to the current moment for refrigeration when the fact that the real-time electric quantity of the air-conditioning robot in the charging process is larger than a preset second threshold value is known, wherein the second threshold value is larger than the first threshold value;
the acquisition module is used for acquiring the refrigeration temperature and the use duration set by a user at each moment and each position;
and the setting module is used for carrying out data analysis on the refrigeration temperature and the service life set at each moment and each position, and setting a first threshold value used for recharging the air-conditioning robot and a second threshold value used for refrigerating the air-conditioning robot corresponding to different user scene information, wherein the second threshold value is greater than the first threshold value.
6. The apparatus of claim 5, further comprising:
the calibration module is used for scanning the indoor environment through the laser radar, constructing a map according to an SLAM algorithm, and calibrating one or more charging pile positions and one or more user positions in the map.
7. The apparatus of claim 6, wherein the first control module is specifically configured to:
when a charging pile position is calibrated in the map, determining a first path from the current position to the charging pile position according to the map, and controlling the air-conditioning robot to move to a target charging pile for charging according to the first path; alternatively, the first and second electrodes may be,
when the positions of the charging piles are calibrated in the map, the position of the target charging pile closest to the charging pile is determined from the positions of the charging piles according to the current position of the air-conditioning robot, a second path from the current position to the position of the target charging pile is determined, and the air-conditioning robot is controlled to move to the target charging pile for charging according to the second path.
8. The apparatus of claim 6, wherein the second control module is specifically configured to:
inquiring prestored user scene information, and acquiring a user position and a scene temperature corresponding to the current moment;
determining a third path from the target charging pile position to the user position according to the map, controlling the air-conditioning robot to move to the user position according to the third path, and refrigerating according to the scene temperature.
9. A computer-readable storage medium on which a computer program is stored, the computer program implementing the automatic recharge control method of the air-conditioning robot according to any one of claims 1 to 4 when executed by a processor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911039415.9A CN110726204B (en) | 2019-10-29 | 2019-10-29 | Automatic recharging control method and device for air-conditioning robot |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911039415.9A CN110726204B (en) | 2019-10-29 | 2019-10-29 | Automatic recharging control method and device for air-conditioning robot |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110726204A CN110726204A (en) | 2020-01-24 |
| CN110726204B true CN110726204B (en) | 2021-03-19 |
Family
ID=69223346
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911039415.9A Active CN110726204B (en) | 2019-10-29 | 2019-10-29 | Automatic recharging control method and device for air-conditioning robot |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110726204B (en) |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111412549A (en) * | 2020-03-31 | 2020-07-14 | 广东美的制冷设备有限公司 | Movable air conditioner, operation method and computer readable storage medium |
| CN111397157A (en) * | 2020-03-31 | 2020-07-10 | 广东美的制冷设备有限公司 | Operation method, operation device, mobile air conditioner and computer readable storage medium |
| CN112531845B (en) * | 2020-12-10 | 2023-05-30 | 广州高新兴机器人有限公司 | Robot multi-mode fusion charging device, method and computer storage medium |
| CN218485035U (en) * | 2022-04-06 | 2023-02-17 | 北京旷视机器人技术有限公司 | Charging station, warehousing system and handling system |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105805846A (en) * | 2014-12-31 | 2016-07-27 | 广东美的制冷设备有限公司 | Air purifying device and purifying method thereof |
| CN105890047A (en) * | 2015-01-21 | 2016-08-24 | 深圳市沃森空调技术有限公司 | Air-conditioning robot |
| KR20170002364U (en) * | 2015-12-23 | 2017-07-03 | 이병인 | wireless humidifer |
| WO2017152365A1 (en) * | 2016-03-08 | 2017-09-14 | 马翼 | Fully automatic smart air purifier |
| CN107632600A (en) * | 2017-08-04 | 2018-01-26 | 珠海格力电器股份有限公司 | Control method, apparatus, mobile terminal and the clarifier of air purifier movement |
| CN108087970A (en) * | 2017-12-12 | 2018-05-29 | 惠州Tcl家电集团有限公司 | Air purification method, system and computer readable storage medium |
-
2019
- 2019-10-29 CN CN201911039415.9A patent/CN110726204B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105805846A (en) * | 2014-12-31 | 2016-07-27 | 广东美的制冷设备有限公司 | Air purifying device and purifying method thereof |
| CN105890047A (en) * | 2015-01-21 | 2016-08-24 | 深圳市沃森空调技术有限公司 | Air-conditioning robot |
| KR20170002364U (en) * | 2015-12-23 | 2017-07-03 | 이병인 | wireless humidifer |
| WO2017152365A1 (en) * | 2016-03-08 | 2017-09-14 | 马翼 | Fully automatic smart air purifier |
| CN107632600A (en) * | 2017-08-04 | 2018-01-26 | 珠海格力电器股份有限公司 | Control method, apparatus, mobile terminal and the clarifier of air purifier movement |
| CN108087970A (en) * | 2017-12-12 | 2018-05-29 | 惠州Tcl家电集团有限公司 | Air purification method, system and computer readable storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110726204A (en) | 2020-01-24 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110726204B (en) | Automatic recharging control method and device for air-conditioning robot | |
| CN108302719B (en) | Control method, device and system of multi-split air conditioning system and storage medium | |
| CN110822665A (en) | Air supply control method and device based on air conditioning robot | |
| CN105091247A (en) | Dehumidification control method and device for air conditioner | |
| CN108131792B (en) | Air conditioner and control method and device thereof | |
| CN109469966B (en) | Electric heating control method and device for air conditioner compressor | |
| CN109323418B (en) | Air conditioner control method and device, air conditioner system, equipment and storage medium | |
| CN104748294A (en) | Mobile terminal, air conditioner and control method thereof and air conditioning system and control method thereof | |
| CN108800465B (en) | Air conditioner control method, air conditioner control device and electronic equipment | |
| CN105509230A (en) | Control method and device of intelligent equipment | |
| CN110081554B (en) | Control method and device of multi-split air conditioning system | |
| CN111391613A (en) | Battery management method and device for vehicle-mounted air conditioner, air conditioner and storage medium | |
| CN110173858B (en) | Air conditioner, self-cleaning control method thereof and computer readable storage medium | |
| CN111397125B (en) | Sterilization control method and device of air conditioner, storage medium and control equipment | |
| CN104566836A (en) | Air conditioner and method and device for automatically controlling air conditioner | |
| CN110986302B (en) | Air conditioner, control method thereof, control terminal, server and storage medium | |
| CN107202401A (en) | A kind of transducer air conditioning control method, control device and transducer air conditioning | |
| CN106288183B (en) | Air conditioner control method and device | |
| CN108800464B (en) | Energy-saving control method and device for air conditioner and air conditioner | |
| CN110650201A (en) | Control method of shared equipment, server side and socket | |
| CN110794701B (en) | Environment control method and device based on air-conditioning robot | |
| CN109041517B (en) | Heating and ventilation control method, device, equipment and computer readable medium | |
| CN111092796A (en) | Adaptive adjustment remote control method and device | |
| CN112186310B (en) | Battery cell temperature control method in battery compartment, storage medium and battery management system | |
| CN205939566U (en) | Air conditioner control system and air conditioner |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |