CN111197841A - Control method, control device, remote control terminal, air conditioner, server and storage medium - Google Patents
Control method, control device, remote control terminal, air conditioner, server and storage medium Download PDFInfo
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- CN111197841A CN111197841A CN201811378450.9A CN201811378450A CN111197841A CN 111197841 A CN111197841 A CN 111197841A CN 201811378450 A CN201811378450 A CN 201811378450A CN 111197841 A CN111197841 A CN 111197841A
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- 238000000034 method Methods 0.000 title claims abstract description 105
- 238000003860 storage Methods 0.000 title claims abstract description 10
- 230000008569 process Effects 0.000 claims abstract description 37
- 230000004913 activation Effects 0.000 claims description 39
- 238000004378 air conditioning Methods 0.000 claims description 28
- 238000010801 machine learning Methods 0.000 claims description 15
- 238000003058 natural language processing Methods 0.000 claims description 15
- 230000004044 response Effects 0.000 claims description 9
- 238000000605 extraction Methods 0.000 claims description 6
- 238000001035 drying Methods 0.000 claims description 5
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- 238000006243 chemical reaction Methods 0.000 claims description 2
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- 238000005065 mining Methods 0.000 abstract description 6
- 238000004590 computer program Methods 0.000 description 14
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- 230000006870 function Effects 0.000 description 10
- 230000003238 somatosensory effect Effects 0.000 description 8
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- 230000001960 triggered effect Effects 0.000 description 5
- 238000003825 pressing Methods 0.000 description 4
- 210000000707 wrist Anatomy 0.000 description 4
- 238000004887 air purification Methods 0.000 description 3
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- 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
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
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- 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
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/56—Remote control
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- 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
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- 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
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2120/00—Control inputs relating to users or occupants
- F24F2120/20—Feedback from users
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Abstract
The invention provides a control method, a control device, an air conditioner, a remote control terminal, a server and a storage medium. The operation control method comprises the following steps: responding to the received voice information, generating a control instruction according to the recognition result of the voice information, and sending the control instruction to the associated air conditioner; the method comprises the steps that in the running process of the air conditioner according to a control instruction, real-time sign information of a user is collected according to a preset collection frequency, the real-time sign information and the user portrait are sent to a server, and the server determines whether to adjust the control instruction according to the real-time sign information and the user portrait. According to the technical scheme, the server is used for adjusting the current control instruction according to the real-time physical sign information and the user portrait, and the server has the advantage of collecting and mining a large amount of user data, so that the adjustment instruction fed back by the server is higher in universality and higher in reliability.
Description
Technical Field
The invention relates to the field of household appliances, in particular to an operation control method, an operation control device, a remote control terminal, a server, an air conditioner and a computer readable storage medium.
Background
In the correlation technique, wearable devices such as a bracelet can realize control of electrical appliances such as an air conditioner by receiving voice control instructions of a user, but cannot adjust the control instructions in real time according to somatosensory feedback of the user.
Disclosure of Invention
The embodiment of the application provides an operation control method, the technical problem that a control instruction cannot be adjusted in real time according to somatosensory feedback of a user in the prior art is solved, and through the operation control method, on one hand, the whole operation control process only needs to be triggered by voice of the user, and then self-adaptive adjustment is carried out based on collected user sign information, so that the user control process is greatly simplified, on the other hand, whether the current control instruction is adjusted or not is combined with user portrait according to real-time sign information through a server, and the server has the advantage of collecting and mining a large amount of user data, so that the universality of the adjustment instruction fed back by the server is higher, and the reliability can be higher.
According to a first aspect of the present invention, there is provided an operation control method including: responding to the received voice information, generating a control instruction according to the recognition result of the voice information, and sending the control instruction to the associated air conditioner; the method comprises the steps that in the running process of the air conditioner according to a control instruction, real-time sign information of a user is collected according to a preset collection frequency, the real-time sign information and the user portrait are sent to a server, and the server determines whether to adjust the control instruction according to the real-time sign information and the user portrait.
In the above technical solution, preferably, the method further includes: responding to the activation instruction, and detecting whether a control mode corresponding to the activation instruction is an air conditioning control mode; when it is determined that the activation instruction is the air conditioning control mode, the reception of the voice message is confirmed.
In any one of the above technical solutions, preferably, the remote control terminal includes a wearable device, and the receiving manner of the activation instruction includes: any one of a double-click operation on a designated position on the wearing device, an adjustment operation on a designated part setting position on the wearing device, a touch operation on a touch key arranged on a display screen of the wearing device, and receiving voice activation information.
In any of the above technical solutions, preferably, the method further includes: and under the air conditioning control mode, controlling a status indicator lamp on the wearable device to be in a flashing state.
In any of the above technical solutions, preferably, the generating a control instruction according to the recognition result of the voice information specifically includes: inputting the voice information to a voice recognition engine to convert the voice information into character data; inputting the character information into a natural language processing engine to perform word segmentation and semantic information extraction on the character data, and determining whether to generate a control instruction according to the extracted semantic information.
In any of the above technical solutions, preferably, the control instruction includes an on/off instruction of the air conditioner, a temperature adjustment instruction, a wind power adjustment instruction, a wind direction adjustment instruction, an air purification instruction, a humidification instruction, and a drying instruction.
The main body executed by the operation control method may be a separate terminal or wearable device having an audio acquisition function and a physical sign data acquisition function, or may be combined with the wearable device through the terminal to control the operation of the air conditioner.
Further, wearing equipment can be for intelligent bracelet, intelligent wrist-watch, intelligent earphone, intelligent glasses, intelligent helmet etc. can with user's skin direct contact's equipment.
According to a second aspect of the present invention, there is provided an operation control method applied to a server, the method including: responding to the real-time physical sign information and the user portrait transmitted by the transmitting equipment, and determining a control instruction adjustment model matched with the user portrait; and inputting the real-time physical sign information into the control instruction adjustment model so as to determine whether to adjust the control instruction of the air conditioner associated with the sending equipment according to the output result of the control instruction adjustment model.
In the above technical solution, preferably, the method further includes: collecting historical use records and historical user figures of a plurality of users on the air conditioner; marking the historical use record with the duration longer than the preset duration and the corresponding historical user portrait as positive samples, and marking the historical use record with the duration shorter than or equal to the preset duration and the corresponding historical user portrait as negative samples; and performing model training on the machine learning model by adopting the positive samples and the negative samples to generate a control instruction adjustment model.
In any of the above technical solutions, preferably, the inputting of the real-time physical sign information into the control instruction adjustment model to determine whether to adjust the control instruction of the air conditioner associated with the sending device according to an output result of the control instruction adjustment model specifically includes: and detecting whether the adjusting parameters output by the control instruction adjusting model are consistent with the control instructions or not, and sending the adjusting parameters to the air conditioner when the adjusting parameters are inconsistent with the control instructions.
In any of the above embodiments, preferably, the user image includes location information, age information, and gender information.
According to a third aspect of the present invention, there is provided an operation control method for an air conditioner, the method comprising: detecting whether an adjusting instruction of the control instruction is received or not in the process of running according to the control instruction sent by the remote control terminal; and when detecting that the adjustment instruction is received, determining whether to continue to operate according to the adjustment parameters carried by the adjustment instruction.
In the above technical solution, preferably, the adjustment prompt information is generated when the adjustment instruction is received.
According to a fourth aspect of the present invention, there is provided an operation control device comprising: the response unit is used for responding to the received voice information, generating a control instruction according to the recognition result of the voice information and sending the control instruction to the associated air conditioner; and the sending unit is used for collecting the real-time physical sign information of the user according to a preset collecting frequency in the running process of the air conditioner according to the control instruction, sending the real-time physical sign information and the user portrait to the server, and determining whether to adjust the control instruction or not according to the real-time physical sign information and the user portrait by the server.
According to a fifth aspect of the present invention, there is provided an operation control apparatus adapted for a server, the apparatus comprising: the response unit is used for responding the real-time physical sign information and the user portrait transmitted by the transmitting equipment and determining a control instruction adjustment model matched with the user portrait; and the input unit is used for inputting the real-time physical sign information into the control instruction adjustment model so as to determine whether to adjust the control instruction of the air conditioner associated with the sending equipment according to the output result of the control instruction adjustment model.
According to a sixth aspect of the present invention, there is provided an operation control device adapted for use in an air conditioner, the device comprising: the detection unit is used for detecting whether an adjustment instruction of the control instruction is received or not in the process of running according to the control instruction sent by the remote control terminal; and the determining unit is used for determining whether to continue running or not according to the adjusting parameters carried by the adjusting instruction after detecting that the adjusting instruction is received.
According to a seventh aspect of the present invention, there is provided a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the operation control method according to any one of the above-described aspects of the first to third aspects.
According to an eighth aspect of the present invention, there is provided a remote control terminal comprising: a processor; a memory for storing executable instructions of a processor, wherein the processor is configured to implement the steps of the operation control method according to any one of the above-mentioned solutions of the first aspect when executing the executable instructions stored in the memory.
According to a ninth aspect of the present invention, there is provided a server comprising: a processor; a memory for storing executable instructions of the processor, wherein the processor is configured to implement the steps of the operation control method according to any one of the above-mentioned solutions of the second aspect when executing the executable instructions stored in the memory.
According to a tenth aspect of the present invention, there is provided an air conditioner comprising: a processor; a memory for storing executable instructions of the processor, wherein the processor is configured to implement the steps of the operation control method according to any one of the above-mentioned third aspect when executing the executable instructions stored in the memory.
One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:
setting a terminal provided with a microphone, wearing equipment and the like as remote control terminals, identifying semantics in voice information by receiving the voice information, further generating a control instruction of an air conditioner according to an identification result to control the air conditioner to run or stop running according to the control instruction, further acquiring real-time sign information of a user by a sensor arranged on the terminal or the wearing equipment during the running of the air conditioner, combining the user portrait obtained by portrait according to the pre-acquired user information, adjusting the running of the air conditioner by adopting an adjusting instruction sent by a server, continuously acquiring the real-time sign information of the user by a preset acquiring frequency to determine whether to be adaptively adjusted to the most comfortable air conditioning environment of the user according to feedback information, wherein on one hand, the whole running control process only needs to be triggered by the voice of the user, and then self-adaptive adjustment is carried out based on the collected user sign information, so that the user control process is greatly simplified, and on the other hand, the server adjusts the current control instruction according to the real-time sign information and the user portrait, and the server has the advantage of collecting and mining a large amount of user data, so that the adjustment instruction fed back by the server is higher in universality and higher in reliability.
Wherein, those skilled in the art can understand that, the process of tagging user information by user portrait facilitates the corresponding server to effectively process the information sent by the remote control terminal by performing the user portrait, and on the other hand, data mining can be performed based on the user portrait to find out the universal control command with the same or similar user portrait, and further, the universal control command can be used to adjust the control command currently used by the user, on the one hand, when the user is in poor physical sensation condition during the operation process based on the current control command, the adjustment command can be automatically adjusted by the received adjustment command, on the other hand, the server can obtain the adjustment command based on the mined big data, so that the adjustment command has universality, and while the requirement of most users for automatic adjustment of the air conditioner is satisfied, through continuously collecting the real-time sign information of the user, the user with an unsatisfied adjustment result can be continuously adjusted until the somatosensory result of the user reaches a satisfactory state position, so that the use experience of the user is favorably improved.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The above 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 showing an operation control method of a first embodiment of the present invention;
fig. 2 is a flowchart showing an operation control method of the second embodiment of the present invention;
fig. 3 is a flowchart showing an operation control method of the third embodiment of the present invention;
fig. 4 shows a schematic block diagram of an operation control device of the first embodiment of the present invention;
fig. 5 is a schematic block diagram showing an operation control apparatus of a second embodiment of the present invention;
fig. 6 is a schematic block diagram showing an operation control apparatus of a third embodiment of the present invention;
fig. 7 shows a schematic block diagram of an air conditioner of an embodiment of the present invention;
FIG. 8 shows a schematic block diagram of a remote control terminal of an embodiment of the present invention;
FIG. 9 shows a schematic block diagram of a server of an embodiment of the invention.
Detailed Description
Aiming at the technical problem that the control instruction cannot be adjusted in real time according to somatosensory feedback of a user in the prior art, through the operation control method, on one hand, the whole operation control process only needs to be triggered by voice of the user, and then self-adaptive adjustment is carried out based on collected user sign information, so that the user control process is greatly simplified, on the other hand, whether the current control instruction is adjusted or not is combined with user portrait according to real-time sign information through a server, and the server has the advantages of collecting and mining a large amount of user data, so that the adjustment instruction fed back by the server is higher in universality and higher in reliability.
For a better understanding of the above technical solutions, exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
In order to better understand the technical solution, the technical solution will be described in detail with reference to the drawings and the specific embodiments.
The operation control method according to the embodiment of the present invention will be specifically described below with reference to fig. 1 and 6.
The first embodiment is as follows:
as shown in fig. 1, an operation control method according to an embodiment of the present invention is applied to a terminal, and the method includes: step 102, responding to the received voice information, generating a control instruction according to the recognition result of the voice information, and sending the control instruction to an associated air conditioner; and step 104, acquiring real-time physical sign information of the user according to a preset acquisition frequency in the running process of the air conditioner according to the control instruction, and sending the real-time physical sign information and the user portrait to a server so that the server can determine whether to adjust the control instruction according to the real-time physical sign information and the user portrait.
In the embodiment, a terminal provided with a microphone, a wearable device and the like are set as a remote control terminal, semantic meaning in voice information is identified by receiving the voice information, a control instruction of an air conditioner is further generated according to an identification result to control the air conditioner to run or stop running according to the control instruction, in the running process of the air conditioner, further, real-time sign information of a user is collected through a sensor arranged on the terminal or the wearable device, the user portrait obtained by portrait according to the pre-collected user information is combined, when the running of the air conditioner is adjusted by adopting an adjusting instruction sent by a server, the real-time sign information of the user is continuously collected through a preset collecting frequency to determine whether the air conditioner environment which is most comfortable for the user is adaptively adjusted according to feedback information, on one hand, the whole running control process only needs to be triggered by voice of the user, and then self-adaptive adjustment is carried out based on the collected user sign information, so that the user control process is greatly simplified, and on the other hand, the server adjusts the current control instruction according to the real-time sign information and the user portrait, and the server has the advantage of collecting and mining a large amount of user data, so that the adjustment instruction fed back by the server is higher in universality and higher in reliability.
Wherein, those skilled in the art can understand that, the process of tagging user information by user portrait facilitates the corresponding server to effectively process the information sent by the remote control terminal by performing the user portrait, and on the other hand, data mining can be performed based on the user portrait to find out the universal control command with the same or similar user portrait, and further, the universal control command can be used to adjust the control command currently used by the user, on the one hand, when the user is in poor physical sensation condition during the operation process based on the current control command, the adjustment command can be automatically adjusted by the received adjustment command, on the other hand, the server can obtain the adjustment command based on the mined big data, so that the adjustment command has universality, and while the requirement of most users for automatic adjustment of the air conditioner is satisfied, through continuously collecting the real-time sign information of the user, the user with an unsatisfied adjustment result can be continuously adjusted until the somatosensory result of the user reaches a satisfactory state position, so that the use experience of the user is favorably improved.
Specifically, take intelligent bracelet as an example, because the bracelet is worn on the wrist, lift the hand and just can find, for the cell-phone, avoided drawing the cell-phone from the pocket and opened a series of troublesome operations such as APP again to voice operation's efficiency has further been improved.
On the other hand, when the bracelet is worn on the wrist, the bracelet moves along with the user, so that the control instruction can still be generated by receiving the voice information when the user has a large space distance with the air conditioner.
On the other hand, compare with intelligent stereo set, the distance that sound propagation has been reduced to the hand raising to bracelet speech instruction than to intelligent stereo set speech instruction, can increase speech recognition's the degree of accuracy.
In the above embodiment, preferably, the method further includes: responding to the activation instruction, and detecting whether a control mode corresponding to the activation instruction is an air conditioning control mode; when it is determined that the activation instruction is the air conditioning control mode, the reception of the voice message is confirmed.
In this embodiment, the control model is set and the control mode is activated by receiving the corresponding activation instruction, on one hand, the collection of the voice information is targeted, that is, the collected voice information is valid only when the air conditioning mode is activated, and on the other hand, for the remote control terminal, in a home environment, the remote control terminal can control other household appliances such as a television, a washing machine, an air purifier and the like besides controlling the on and off of an air conditioner, so that a plurality of control modes can be preset to correspond to different household appliances, different activation instructions are set for different control modes, and the control mode entering the corresponding household appliance is determined by identifying the activation instructions, so that the remote control terminal has stronger universality.
The activation instruction may be a voice activation instruction, an activation instruction generated by touch on the touch screen, or the like.
In any of the above embodiments, preferably, the remote control terminal includes a wearable device, and the receiving manner of the activation instruction includes: any one of a double-click operation on a designated position on the wearing device, an adjustment operation on a designated part setting position on the wearing device, a touch operation on a touch key arranged on a display screen of the wearing device, and receiving voice activation information.
In any of the above embodiments, preferably, the method further includes: and under the air conditioning control mode, controlling a status indicator lamp on the wearable device to be in a flashing state.
Specifically, taking the smart band as an example, the smart band is used to activate the control mode to invoke the voice recognition function and enter the recording state. The activation mode and the recording state are described by the following schemes:
activating:
1) for a smart bracelet without an earphone, the air conditioning control mode is activated by pressing the power key twice in succession.
2) For the intelligent bracelet with the earphone, the air conditioning control mode can be activated by picking up the earphone in the non-listening state, and the voice recognition function can be activated by pressing the power key twice continuously
The state represents:
for a bracelet without a display screen, the fact that the air conditioning control mode is entered is indicated through an indicator lamp, and the fact that sound is being picked up is indicated through flashing of a red or green lamp.
For a bracelet with a display screen, displaying an icon of a microphone on the display screen indicates that the bracelet enters an air conditioning control mode.
And when the voice information is not collected in the preset time period, automatically exiting the air conditioning control mode.
In any of the above embodiments, preferably, generating a control instruction according to a recognition result of the voice information specifically includes: inputting the voice information to a voice recognition engine to convert the voice information into character data; inputting the character information into a natural language processing engine to perform word segmentation and semantic information extraction on the character data, and determining whether to generate a control instruction according to the extracted semantic information.
In this embodiment, as an implementation manner of voice recognition, when the wearable device does not have a voice Processing capability, the collected voice information may be sent to the terminal, the terminal may perform semantic recognition with an NLP (natural language Processing) engine through an internal ASR (Auto speech recognition) engine to generate a corresponding control instruction, or send the voice information to a special semantic recognition server to perform semantic recognition according to the ASR engine and the NLP engine to ensure accuracy of the generated control instruction.
Specifically, the mobile phone APP sends the audio to the ASR engine, the ASR engine loads the ASR model and recognizes the speech as characters, the mobile phone APP gives the characters to the NL P engine, and the NLP engine loads the NLP model and understands the characters.
In any of the above embodiments, preferably, the control instruction includes an on/off instruction of the air conditioner, a temperature adjustment instruction, a wind power adjustment instruction, a wind direction adjustment instruction, an air purification instruction, a humidification instruction, and a drying instruction.
Example two:
as shown in fig. 2, an operation control method according to another embodiment of the present invention is applied to a server, and the method includes: step 202, responding to the real-time physical sign information and the user portrait transmitted by the transmitting equipment, and determining a control instruction adjustment model matched with the user portrait; and step 204, inputting the real-time physical sign information into the control instruction adjustment model, and determining whether to adjust the control instruction of the air conditioner associated with the sending equipment according to the output result of the control instruction adjustment model.
In the embodiment, a plurality of first-stage adjustment models can be set in the server based on different fields, further, the first-stage adjustment models are divided into a plurality of second-stage adjustment models based on different age groups and different sexes, the server determines the corresponding second-stage adjustment models according to the received user portrait, the received real-time physical sign information is input into the second-stage control instruction adjustment models, whether the operation information of the air conditioner associated with the sending equipment is adjusted or not is determined according to the output result, the server can obtain the adjustment instruction based on the mined big data, the adjustment instruction has universality, when the automatic adjustment requirements of most users on the air conditioner are met, the users with unsatisfied adjustment results can be continuously adjusted by continuously collecting the real-time physical sign information of the users until the somatosensory results of the users reach the satisfied state position, thereby being beneficial to improving the use experience of the user.
In the above embodiment, preferably, the method further includes: collecting historical use records and historical user figures of a plurality of users on the air conditioner; marking the historical use record with the duration longer than the preset duration and the corresponding historical user portrait as positive samples, and marking the historical use record with the duration shorter than or equal to the preset duration and the corresponding historical user portrait as negative samples; and performing model training on the machine learning model by adopting the positive samples and the negative samples to generate a control instruction adjustment model.
In the embodiment, the mined user data is used as a training sample to perform machine learning operation on a machine learning model, the collected user data is marked before performing machine learning, specifically, for historical use records with duration longer than a preset duration, the collected user data indicates that the user can obtain good experience under corresponding control parameters, for historical use records with duration shorter than or equal to the preset duration, the user experience under corresponding control parameters is poor, the mined user data is divided into a positive sample set and a negative sample set according to the preset duration to perform model training according to the positive sample set and the negative sample set, so that the control instruction adjustment model can be obtained according to a training result, and further, the corresponding control parameters can be output as adjustment parameters based on input real-time sign information, and the machine learning training adjustment model is adopted, the high-performance adjusting model can be obtained, and the adjusting parameters are output through the adjusting model to obtain the high-adaptability adjusting parameters, so that the adjusting process of the control command of the high-adaptability air conditioner is realized.
The historical use record comprises control parameters of the air conditioner and sign data fed back by a user.
In addition, the machine learning model can be an xgboost model, the xgboost model can automatically select useful features, and since it is not known in advance which features are useful, all the features can be put into the model during model training, so that the model can be automatically selected.
In any of the above embodiments, preferably, the inputting of the real-time physical sign information into the control instruction adjustment model to determine whether to adjust the control instruction of the air conditioner associated with the sending device according to an output result of the control instruction adjustment model specifically includes: and detecting whether the adjusting parameters output by the control instruction adjusting model are consistent with the control instructions or not, and sending the adjusting parameters to the air conditioner when the adjusting parameters are inconsistent with the control instructions.
In this embodiment, when it is detected that the adjustment parameter is consistent with the control parameter, it indicates that the current control parameter can adjust the indoor air to enable the user to obtain better use experience, and therefore, the adjustment operation is not performed, and when the adjustment parameter is inconsistent with the control instruction, it indicates that the current control parameter cannot adjust the indoor air to enable the user to obtain better use experience, and at this time, the operation of the air conditioner is adjusted by outputting the adjustment parameter, so as to achieve the purpose of adaptively adjusting the operation parameter according to the experience of the user.
In any of the above embodiments, preferably, the user representation includes location information, age information, and gender information.
Example three:
as shown in fig. 3, an operation control method according to another embodiment of the present invention is applied to an air conditioner, the method including: step 302, detecting whether an adjusting instruction of the control instruction is received or not in the process of running according to the control instruction sent by the remote control terminal; and step 304, after detecting that the adjustment instruction is received, determining whether to continue to operate according to the adjustment parameters carried by the adjustment instruction.
In the above embodiment, preferably, the adjustment prompt information is generated when the adjustment instruction is received.
As shown in fig. 4, an operation control device 40 according to an embodiment of the present invention includes: a response unit 402, configured to respond to the received voice information, generate a control instruction according to a recognition result of the voice information, and send the control instruction to an associated air conditioner; and the sending unit 404 is configured to collect real-time sign information of the user according to a preset collection frequency during an operation process of the air conditioner according to the control instruction, and send the real-time sign information and the user portrait to the server, so that the server determines whether to adjust the control instruction according to the real-time sign information and the user portrait.
In the embodiment, a terminal provided with a microphone, a wearable device and the like are set as a remote control terminal, semantic meaning in voice information is identified by receiving the voice information, a control instruction of an air conditioner is further generated according to an identification result to control the air conditioner to run or stop running according to the control instruction, in the running process of the air conditioner, further, real-time sign information of a user is collected through a sensor arranged on the terminal or the wearable device, the user portrait obtained by portrait according to the pre-collected user information is combined, when the running of the air conditioner is adjusted by adopting an adjusting instruction sent by a server, the real-time sign information of the user is continuously collected through a preset collecting frequency to determine whether the air conditioner environment which is most comfortable for the user is adaptively adjusted according to feedback information, on one hand, the whole running control process only needs to be triggered by voice of the user, and then self-adaptive adjustment is carried out based on the collected user sign information, so that the user control process is greatly simplified, and on the other hand, the server adjusts the current control instruction according to the real-time sign information and the user portrait, and the server has the advantage of collecting and mining a large amount of user data, so that the adjustment instruction fed back by the server is higher in universality and higher in reliability.
Wherein, those skilled in the art can understand that, the process of tagging user information by user portrait facilitates the corresponding server to effectively process the information sent by the remote control terminal by performing the user portrait, and on the other hand, data mining can be performed based on the user portrait to find out the universal control command with the same or similar user portrait, and further, the universal control command can be used to adjust the control command currently used by the user, on the one hand, when the user is in poor physical sensation condition during the operation process based on the current control command, the adjustment command can be automatically adjusted by the received adjustment command, on the other hand, the server can obtain the adjustment command based on the mined big data, so that the adjustment command has universality, and while the requirement of most users for automatic adjustment of the air conditioner is satisfied, through continuously collecting the real-time sign information of the user, the user with an unsatisfied adjustment result can be continuously adjusted until the somatosensory result of the user reaches a satisfactory state position, so that the use experience of the user is favorably improved.
Specifically, take intelligent bracelet as an example, because the bracelet is worn on the wrist, lift the hand and just can find, for the cell-phone, avoided drawing the cell-phone from the pocket and opened a series of troublesome operations such as APP again to voice operation's efficiency has further been improved.
On the other hand, when the bracelet is worn on the wrist, the bracelet moves along with the user, so that the control instruction can still be generated by receiving the voice information when the user has a large space distance with the air conditioner.
On the other hand, compare with intelligent stereo set, the distance that sound propagation has been reduced to the hand raising to bracelet speech instruction than to intelligent stereo set speech instruction, can increase speech recognition's the degree of accuracy.
In the above embodiment, preferably, the response unit 402 is further configured to: responding to the activation instruction, and detecting whether a control mode corresponding to the activation instruction is an air conditioning control mode; the operation control device 40 further includes: a confirming unit 406, configured to confirm receiving the voice message when the activation instruction is determined to be the air-conditioning control mode.
In this embodiment, the control model is set and the control mode is activated by receiving the corresponding activation instruction, on one hand, the collection of the voice information is targeted, that is, the collected voice information is valid only when the air conditioning mode is activated, and on the other hand, for the remote control terminal, in a home environment, the remote control terminal can control other household appliances such as a television, a washing machine, an air purifier and the like besides controlling the on and off of an air conditioner, so that a plurality of control modes can be preset to correspond to different household appliances, different activation instructions are set for different control modes, and the control mode entering the corresponding household appliance is determined by identifying the activation instructions, so that the remote control terminal has stronger universality.
The activation instruction may be a voice activation instruction, an activation instruction generated by touch on the touch screen, or the like.
In any of the above embodiments, preferably, the remote control terminal includes a wearable device, and the receiving manner of the activation instruction includes: any one of a double-click operation on a designated position on the wearing device, an adjustment operation on a designated part setting position on the wearing device, a touch operation on a touch key arranged on a display screen of the wearing device, and receiving voice activation information.
In any of the above embodiments, preferably, the method further includes: and the control unit 408 is used for controlling a status indicator lamp on the wearable device to be in a flashing state in the air conditioning control mode.
Specifically, taking the smart band as an example, the smart band is used to activate the control mode to invoke the voice recognition function and enter the recording state. The activation mode and the recording state are described by the following schemes:
activating:
1) for a smart bracelet without an earphone, the air conditioning control mode is activated by pressing the power key twice in succession.
2) For the intelligent bracelet with the earphone, the air conditioning control mode can be activated by picking up the earphone in the non-listening state, and the voice recognition function can be activated by pressing the power key twice continuously
The state represents:
for a bracelet without a display screen, the fact that the air conditioning control mode is entered is indicated through an indicator lamp, and the fact that sound is being picked up is indicated through flashing of a red or green lamp.
For a bracelet with a display screen, displaying an icon of a microphone on the display screen indicates that the bracelet enters an air conditioning control mode.
And when the voice information is not collected in the preset time period, automatically exiting the air conditioning control mode.
In any of the above embodiments, preferably, the method further includes: a conversion unit 410 for inputting the voice information to a voice recognition engine to convert the voice information into character data; an extracting unit 412, configured to input the character information to the natural language processing engine, to perform word segmentation and semantic information extraction operations on the character data, and to determine whether to generate a control instruction according to the extracted semantic information.
In this embodiment, as an implementation manner of voice recognition, when the wearable device does not have a voice Processing capability, the collected voice information may be sent to the terminal, the terminal may perform semantic recognition with an NLP (Natural Language Processing) engine through an internal ASR (Auto speech recognition) engine to generate a corresponding control instruction, or send the voice information to a special semantic recognition server to perform semantic recognition according to the ASR engine and the NLP engine, so as to ensure accuracy of the generated control instruction.
Specifically, the mobile phone APP sends the audio to the ASR engine, the ASR engine loads the ASR model and recognizes the speech as characters, the mobile phone APP gives the characters to the NL P engine, and the NLP engine loads the NLP model and understands the characters.
In any of the above embodiments, preferably, the control instruction includes an on/off instruction of the air conditioner, a temperature adjustment instruction, a wind power adjustment instruction, a wind direction adjustment instruction, an air purification instruction, a humidification instruction, and a drying instruction.
As shown in fig. 5, an operation control apparatus 50 according to another embodiment of the present invention is adapted to a server, the apparatus including: a response unit 502, configured to determine a control instruction adjustment model matching the user portrait in response to the real-time physical sign information and the user portrait sent by the sending device; the input unit 504 is configured to input the real-time physical sign information into the control instruction adjustment model, so as to determine whether to adjust the control instruction of the air conditioner associated with the sending device according to an output result of the control instruction adjustment model.
In the embodiment, a plurality of first-stage adjustment models can be set in the server based on different fields, further, the first-stage adjustment models are divided into a plurality of second-stage adjustment models based on different age groups and different sexes, the server determines the corresponding second-stage adjustment models according to the received user portrait, the received real-time physical sign information is input into the second-stage control instruction adjustment models, whether the operation information of the air conditioner associated with the sending equipment is adjusted or not is determined according to the output result, the server can obtain the adjustment instruction based on the mined big data, the adjustment instruction has universality, when the automatic adjustment requirements of most users on the air conditioner are met, the users with unsatisfied adjustment results can be continuously adjusted by continuously collecting the real-time physical sign information of the users until the somatosensory results of the users reach the satisfied state position, thereby being beneficial to improving the use experience of the user.
In the above embodiment, preferably, the method further includes: a collecting unit 506 for collecting historical usage records and historical user portraits of the air conditioner by a plurality of users; a labeling unit 508, configured to label a positive sample of the historical usage record and the corresponding historical user portrait with a duration greater than a preset duration, and label a negative sample of the historical usage record and the corresponding historical user portrait with a duration less than or equal to the preset duration; and a training unit 510, configured to perform model training on the machine learning model by using the positive samples and the negative samples to generate a control instruction adjustment model.
In the embodiment, the mined user data is used as a training sample to perform machine learning operation on a machine learning model, the collected user data is marked before performing machine learning, specifically, for historical use records with duration longer than a preset duration, the collected user data indicates that the user can obtain good experience under corresponding control parameters, for historical use records with duration shorter than or equal to the preset duration, the user experience under corresponding control parameters is poor, the mined user data is divided into a positive sample set and a negative sample set according to the preset duration to perform model training according to the positive sample set and the negative sample set, so that the control instruction adjustment model can be obtained according to a training result, and further, the corresponding control parameters can be output as adjustment parameters based on input real-time sign information, and the machine learning training adjustment model is adopted, the high-performance adjusting model can be obtained, and the adjusting parameters are output through the adjusting model to obtain the high-adaptability adjusting parameters, so that the adjusting process of the control command of the high-adaptability air conditioner is realized.
The historical use record comprises control parameters of the air conditioner and sign data fed back by a user.
In addition, the machine learning model can be an xgboost model, the xgboost model can automatically select useful features, and since it is not known in advance which features are useful, all the features can be put into the model during model training, so that the model can be automatically selected.
In any of the above embodiments, preferably, the method further includes: the detecting unit 512 is configured to detect whether an adjustment parameter output by the control instruction adjustment model is consistent with the control instruction, so as to send the adjustment parameter to the air conditioner when the adjustment parameter is inconsistent with the control instruction.
In this embodiment, when it is detected that the adjustment parameter is consistent with the control parameter, it indicates that the current control parameter can adjust the indoor air to enable the user to obtain better use experience, and therefore, the adjustment operation is not performed, and when the adjustment parameter is inconsistent with the control instruction, it indicates that the current control parameter cannot adjust the indoor air to enable the user to obtain better use experience, and at this time, the operation of the air conditioner is adjusted by outputting the adjustment parameter, so as to achieve the purpose of adaptively adjusting the operation parameter according to the experience of the user.
In any of the above embodiments, preferably, the user representation includes location information, age information, and gender information.
As shown in fig. 6, an operation control device 60 according to still another embodiment of the present invention is adapted to an air conditioner, the device including: a detecting unit 602, configured to detect whether an adjustment instruction of a control instruction is received in a process of operating according to the control instruction sent by the remote control terminal; the determining unit 604 is configured to determine whether to continue operating according to an adjustment parameter carried by the adjustment instruction when detecting that the adjustment instruction is received.
In the above embodiment, preferably, the method further includes: a generating unit 606, configured to generate adjustment prompt information when receiving the adjustment instruction.
Example four:
the computer-readable storage medium according to an embodiment of the present invention has a computer program stored thereon, and the computer program, when executed by a processor, implements the steps of the operation control method according to any one of the first to third embodiments described above.
Based on the same inventive concept, the embodiment of the invention also provides the air conditioner corresponding to the method in the first embodiment and the second embodiment, which is shown in the fifth embodiment.
Example five:
as shown in fig. 7, the air conditioner 70 according to the embodiment of the present invention includes a processor 702 and a memory 704, wherein the memory 704 stores a computer program that can be executed on the processor 702, the memory 704 and the processor 702 can be connected by a bus, and the processor 702 is configured to implement the steps of the operation control method in the above third embodiment when executing the computer program stored in the memory 704.
Based on the same inventive concept, the embodiment of the invention also provides the remote control terminal corresponding to the method in the first embodiment, which is shown in the sixth embodiment.
Example six:
as shown in fig. 8, the remote control terminal 80 according to the embodiment of the present invention includes a processor 802 and a memory 804, wherein the memory 804 stores a computer program that can be executed on the processor 802, wherein the memory 804 and the processor 802 can be connected by a bus, and the processor 802 is configured to implement the steps of the operation control method in the second embodiment when executing the computer program stored in the memory 804.
Based on the same inventive concept, the embodiment of the present invention further provides a server corresponding to the method in the second embodiment, which is shown in the seventh embodiment.
Example seven:
as shown in fig. 9, a server 90 according to an embodiment of the present invention includes: a processor 902; a memory 904 for storing executable instructions of the processor, wherein the processor 902 is configured to implement the steps of the operation control method as in the first embodiment when executing the executable instructions stored in the memory 904.
The steps in the method of the embodiment of the invention can be sequentially adjusted, combined and deleted according to actual needs.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It should be noted that in the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (28)
1. An operation control method suitable for a remote control terminal, comprising:
responding to the received voice information, generating a control instruction according to the recognition result of the voice information, and sending the control instruction to an associated air conditioner;
and in the running process of the air conditioner according to the control instruction, acquiring real-time sign information of a user according to a preset acquisition frequency, and sending the real-time sign information and the user portrait to a server so that the server determines whether to adjust the control instruction according to the real-time sign information and the user portrait.
2. The method of claim 1, further comprising:
responding to an activation instruction, and detecting whether a control mode corresponding to the activation instruction is an air conditioning control mode;
confirming to receive the voice message when it is determined that the activation instruction is the air-conditioning control mode.
3. The method of claim 2, wherein the remote control terminal comprises a wearable device, and the receiving of the activation instruction comprises:
any one of double-click operation on a specified position on the wearable device, adjustment operation on a position of a specified component on the wearable device, touch operation on a touch key arranged on a display screen of the wearable device, and receiving voice activation information.
4. The method of claim 3, further comprising:
and under the air conditioning control mode, controlling a status indicator lamp on the wearable device to be in a flashing state.
5. The method according to claim 1, wherein the generating a control instruction according to the recognition result of the speech information specifically includes:
inputting the voice information to a voice recognition engine to convert the voice information into character data;
inputting the character information into a natural language processing engine to perform word segmentation and semantic information extraction on the character data, and determining whether to generate the control instruction according to the extracted semantic information.
6. The method of any one of claims 1 to 5,
the control instruction comprises a startup and shutdown instruction, a temperature adjusting instruction, a wind power adjusting instruction, a wind direction adjusting instruction, an air purifying instruction, a humidifying instruction and a drying instruction of the air conditioner.
7. An operation control method applied to a server, comprising:
responding to real-time physical sign information and a user portrait transmitted by a transmitting device, and determining a control instruction adjustment model matched with the user portrait;
and inputting the real-time physical sign information into the control instruction adjustment model so as to determine whether to adjust the control instruction of the air conditioner associated with the sending equipment according to the output result of the control instruction adjustment model.
8. The method of claim 7, further comprising:
collecting historical use records and historical user figures of a plurality of users on the air conditioner;
marking the historical usage records with the duration longer than a preset duration and the corresponding historical user portraits as positive samples, and marking the historical usage records with the duration shorter than or equal to the preset duration and the corresponding historical user portraits as negative samples;
and performing model training on a machine learning model by adopting the positive sample and the negative sample to generate the control instruction adjustment model.
9. The method of claim 8, wherein the inputting the real-time sign information into the control instruction adjustment model to determine whether to adjust the control instruction of the air conditioner associated with the sending device according to an output result of the control instruction adjustment model specifically comprises:
and detecting whether the adjusting parameters output by the control instruction adjusting model are consistent with the control parameters in the control instruction or not, so as to send the adjusting parameters to the air conditioner when the adjusting parameters are inconsistent with the control parameters.
10. The method according to any one of claims 7 to 9,
the user representation includes location information, age information, and gender information.
11. An operation control method for an air conditioner, comprising:
detecting whether an adjusting instruction of the control instruction is received or not in the process of running according to the control instruction sent by the remote control terminal;
and after detecting that the adjustment instruction is received, determining whether to continue to operate according to the adjustment parameters carried by the adjustment instruction.
12. The method of claim 11, further comprising:
and generating adjustment prompt information when the adjustment instruction is received.
13. An operation control device adapted for a remote control terminal, comprising:
the response unit is used for responding to the received voice information, generating a control instruction according to the recognition result of the voice information and sending the control instruction to the associated air conditioner;
and the sending unit is used for collecting real-time sign information of a user according to a preset collection frequency in the running process of the air conditioner according to the control instruction, and sending the real-time sign information and the user portrait to a server so that the server determines whether to adjust the control instruction according to the real-time sign information and the user portrait.
14. The apparatus of claim 13,
the response unit is further configured to: responding to an activation instruction, and detecting whether a control mode corresponding to the activation instruction is an air conditioning control mode;
the operation control device further includes:
a confirming unit configured to confirm reception of the voice message when it is determined that the activation instruction is the air-conditioning control mode.
15. The apparatus of claim 14, wherein the remote control terminal comprises a wearable device, and the receiving of the activation instruction comprises:
any one of double-click operation on a specified position on the wearable device, adjustment operation on a position of a specified component on the wearable device, touch operation on a touch key arranged on a display screen of the wearable device, and receiving voice activation information.
16. The apparatus of claim 15, further comprising:
and the control unit is used for controlling a status indicator lamp on the wearable device to be in a flashing state in the air conditioning control mode.
17. The apparatus of claim 13, further comprising:
a conversion unit for inputting the voice information to a voice recognition engine to convert the voice information into character data;
and the extraction unit is used for inputting the character information into a natural language processing engine so as to perform word segmentation and semantic information extraction operation on the character data and determining whether to generate the control instruction according to the extracted semantic information.
18. The apparatus of any one of claims 13 to 17,
the control instruction comprises a startup and shutdown instruction, a temperature adjusting instruction, a wind power adjusting instruction, a wind direction adjusting instruction, an air purifying instruction, a humidifying instruction and a drying instruction of the air conditioner.
19. An operation control device adapted for a server, comprising:
the response unit is used for responding to the real-time physical sign information and the user portrait transmitted by the transmitting equipment and determining a control instruction adjustment model matched with the user portrait;
and the input unit is used for inputting the real-time physical sign information into the control instruction adjustment model so as to determine whether to adjust the control instruction of the air conditioner associated with the sending equipment according to the output result of the control instruction adjustment model.
20. The apparatus of claim 19, further comprising:
the collecting unit is used for collecting historical use records and historical user figures of a plurality of users on the air conditioner;
the marking unit is used for marking the historical use record with the duration longer than the preset duration and the corresponding historical user portrait as positive samples, and marking the historical use record with the duration shorter than or equal to the preset duration and the corresponding historical user portrait as negative samples;
and the training unit is used for carrying out model training on a machine learning model by adopting the positive sample and the negative sample so as to generate the control instruction adjustment model.
21. The apparatus of claim 20, further comprising:
and the detection unit is used for detecting whether the adjusting parameters output by the control instruction adjusting model are consistent with the control parameters in the control instructions or not so as to send the adjusting parameters to the air conditioner when the adjusting parameters are inconsistent with the control parameters.
22. The apparatus of any one of claims 19 to 21,
the user representation includes location information, age information, and gender information.
23. An operation control device adapted for an air conditioner, comprising:
the detection unit is used for detecting whether an adjustment instruction of the control instruction is received or not in the process of running according to the control instruction sent by the remote control terminal;
and the determining unit is used for determining whether to continue running according to the adjusting parameters carried by the adjusting instruction after detecting that the adjusting instruction is received.
24. The apparatus of claim 23, further comprising:
and the generating unit is used for generating adjustment prompt information when the adjustment instruction is received.
25. A computer-readable storage medium, on which an operation control program is stored, characterized in that the operation control program, when executed by a processor, implements the method of any one of claims 1 to 12.
26. A remote control terminal comprising a memory, a processor and an operation control program stored on the memory and executable on the processor, the processor implementing the method of any one of claims 1 to 6 when executing the remote control program.
27. A server comprising a memory, a processor and an execution control program stored on the memory and executable on the processor, the processor implementing the method of any one of claims 7-10 when executing the remote control program.
28. An air conditioner comprising a memory, a processor and an operation control program stored in the memory and executable on the processor, wherein the processor implements the method of claim 11 or 12 when executing the remote control program.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201811378450.9A CN111197841A (en) | 2018-11-19 | 2018-11-19 | Control method, control device, remote control terminal, air conditioner, server and storage medium |
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| CN201811378450.9A CN111197841A (en) | 2018-11-19 | 2018-11-19 | Control method, control device, remote control terminal, air conditioner, server and storage medium |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111829131A (en) * | 2020-07-31 | 2020-10-27 | 重庆电子工程职业学院 | Intelligent air conditioner control system |
| CN112804353A (en) * | 2021-03-19 | 2021-05-14 | 北京孵家科技股份有限公司 | Customer information management method, device and system based on deep data mining |
| CN112966828A (en) * | 2021-03-01 | 2021-06-15 | 海南大学 | Programmable intelligent control method, device and medium for intention calculation and reasoning |
| CN113375305A (en) * | 2021-06-01 | 2021-09-10 | 青岛海尔空调器有限总公司 | Control method and device of air conditioner, electronic equipment and storage medium |
| CN113819587A (en) * | 2021-09-09 | 2021-12-21 | 青岛海尔空调器有限总公司 | Method and device for controlling air conditioner and air conditioner |
| CN115297149A (en) * | 2022-07-19 | 2022-11-04 | 广州理工学院 | Intelligent ward information management system and method |
| CN117824063A (en) * | 2024-03-04 | 2024-04-05 | 深圳市微克科技股份有限公司 | Remote air conditioner regulation and control method, system and medium based on intelligent watch |
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- 2018-11-19 CN CN201811378450.9A patent/CN111197841A/en active Pending
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111829131A (en) * | 2020-07-31 | 2020-10-27 | 重庆电子工程职业学院 | Intelligent air conditioner control system |
| CN112966828A (en) * | 2021-03-01 | 2021-06-15 | 海南大学 | Programmable intelligent control method, device and medium for intention calculation and reasoning |
| CN112804353A (en) * | 2021-03-19 | 2021-05-14 | 北京孵家科技股份有限公司 | Customer information management method, device and system based on deep data mining |
| CN112804353B (en) * | 2021-03-19 | 2021-07-27 | 北京孵家科技股份有限公司 | Customer information management method, device and system based on deep data mining |
| CN113375305A (en) * | 2021-06-01 | 2021-09-10 | 青岛海尔空调器有限总公司 | Control method and device of air conditioner, electronic equipment and storage medium |
| CN113819587A (en) * | 2021-09-09 | 2021-12-21 | 青岛海尔空调器有限总公司 | Method and device for controlling air conditioner and air conditioner |
| CN113819587B (en) * | 2021-09-09 | 2023-07-18 | 青岛海尔空调器有限总公司 | Air conditioner control method and device and air conditioner |
| CN115297149A (en) * | 2022-07-19 | 2022-11-04 | 广州理工学院 | Intelligent ward information management system and method |
| CN115297149B (en) * | 2022-07-19 | 2024-05-14 | 广州理工学院 | Intelligent ward information management system and method |
| CN117824063A (en) * | 2024-03-04 | 2024-04-05 | 深圳市微克科技股份有限公司 | Remote air conditioner regulation and control method, system and medium based on intelligent watch |
| CN117824063B (en) * | 2024-03-04 | 2024-05-14 | 深圳市微克科技股份有限公司 | Remote air conditioner regulation and control method, system and medium based on intelligent watch |
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