CN114511996A - Learning method of intelligent learning type Bluetooth remote controller - Google Patents
Learning method of intelligent learning type Bluetooth remote controller Download PDFInfo
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- CN114511996A CN114511996A CN202111655959.5A CN202111655959A CN114511996A CN 114511996 A CN114511996 A CN 114511996A CN 202111655959 A CN202111655959 A CN 202111655959A CN 114511996 A CN114511996 A CN 114511996A
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- 238000005516 engineering process Methods 0.000 description 2
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- G—PHYSICS
- G08—SIGNALLING
- G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
- G08C17/00—Arrangements for transmitting signals characterised by the use of a wireless electrical link
- G08C17/02—Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L19/00—Speech or audio signals analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signals, using source filter models or psychoacoustic analysis
- G10L19/04—Speech or audio signals analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signals, using source filter models or psychoacoustic analysis using predictive techniques
- G10L19/16—Vocoder architecture
- G10L19/18—Vocoders using multiple modes
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/80—Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W76/00—Connection management
- H04W76/10—Connection setup
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- Computational Linguistics (AREA)
- Health & Medical Sciences (AREA)
- Audiology, Speech & Language Pathology (AREA)
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Abstract
The invention discloses a learning method of the intelligent learning type Bluetooth remote controller, wherein a control module is connected with the learning type Bluetooth remote controller through Bluetooth; the control module acquires initial state information of the learning type Bluetooth remote controller; establishing Bluetooth connection between the learning type Bluetooth remote controller and a first target Bluetooth remote controller; the learning type Bluetooth remote controller acquires preset information of a first target Bluetooth remote controller; the learning type Bluetooth remote controller sends preset information of the first target Bluetooth remote controller to the control module; the control module analyzes preset information of the first target Bluetooth remote controller; the control module sends the analyzed information to the learning type Bluetooth remote controller; the learning type Bluetooth remote controller automatically completes configuration, control of corresponding household appliances can be completed through the learning type Bluetooth remote controller, different first target Bluetooth remote controllers can be learned through one learning type Bluetooth remote controller, cost is effectively saved, and meanwhile, convenience is brought to life of people.
Description
Technical Field
The invention relates to the technical field of Bluetooth remote controllers, in particular to a learning method of an intelligent learning type Bluetooth remote controller.
Background
With the rapid development of intelligent control technology, more and more intelligent control technologies are applied to the production and life of people, especially the intelligent home industry. At present, a lot of household appliances realize intelligent control, one or more household appliances are controlled through the Bluetooth remote controller, and the Bluetooth remote controller can realize multi-angle signal output, so that the Bluetooth remote controller can replace an infrared remote controller quickly to become a household controller of an intelligent home.
However, the existing bluetooth remote controller generally cannot be repaired after being damaged, and only corresponding replacement can be selected, which leads to increase of cost. Moreover, once the bluetooth remote controller matched with the damaged bluetooth remote controller cannot be replaced, the corresponding household appliance cannot be controlled through the bluetooth remote controller.
Disclosure of Invention
Therefore, there is a need for a learning method for an intelligent learning bluetooth remote controller, which can learn the function of a first target bluetooth remote controller to the learning bluetooth remote controller without additionally purchasing a new bluetooth remote controller.
A learning method of an intelligent learning type Bluetooth remote controller comprises the following steps:
s1, the control module establishes Bluetooth connection with the learning type Bluetooth remote controller;
s2, the control module acquires initial state information of the learning type Bluetooth remote controller;
s3, establishing Bluetooth connection between the learning type Bluetooth remote controller and the first target Bluetooth remote controller;
s4, the learning type Bluetooth remote controller acquires preset information of a first target Bluetooth remote controller;
s5, the learning type Bluetooth remote controller sends the preset information of the first target Bluetooth remote controller to the control module;
s6, the control module analyzes the preset information of the first target Bluetooth remote controller;
s7, the control module sends the analyzed information to the learning type Bluetooth remote controller;
and S8, the learning type Bluetooth remote controller automatically completes information configuration.
In one embodiment, before S4, the control module sends information for acquiring the preset information of the first target bluetooth remote controller to the learning type bluetooth remote controller.
In one embodiment, the initial state information of the learning-type bluetooth remote controller includes first key value information, first voice decoding information, and first interface information.
In one embodiment, the preset information of the first target bluetooth remote controller includes bluetooth name, service, feature, description, second key information, second voice decoding information, and second interface information.
In one embodiment, the second speech decoding information comprises one of Google speech or TI speech or ADPCM or SBC.
In one embodiment, in S6, the parsing method of the control module is:
s31, the control module makes the first key value information of the learning type Bluetooth remote controller and the second key value information of the first target Bluetooth remote controller in one-to-one correspondence;
s32, sending the second key value information to the learning type Bluetooth remote controller;
s33, the control module sends the second voice decoding information of the first target Bluetooth remote controller to the learning type Bluetooth remote controller;
s34, the control module makes the first interface information of the learning type Bluetooth remote controller and the second interface information of the first target Bluetooth remote controller in one-to-one correspondence;
s35, the control module sends the second interface information to the learning type Bluetooth remote controller; .
And S36, the control module sends the service, the characteristic and the description information of the first target Bluetooth remote controller to the learning type Bluetooth remote controller.
In one embodiment, after S8, the learning-oriented bluetooth remote controller is paired with the corresponding appliance and sends out the same bluetooth broadcast as the target remote controller.
In the learning method of the intelligent learning type Bluetooth remote controller, the control module is connected with the learning type Bluetooth remote controller in a Bluetooth mode; the control module acquires initial state information of the learning type Bluetooth remote controller; establishing Bluetooth connection between the learning type Bluetooth remote controller and a first target Bluetooth remote controller; the learning type Bluetooth remote controller acquires preset information of a first target Bluetooth remote controller; the learning type Bluetooth remote controller sends preset information of the first target Bluetooth remote controller to the control module; the control module analyzes preset information of the first target Bluetooth remote controller; the control module sends the analyzed information to the learning type Bluetooth remote controller; the configuration is accomplished automatically to learning type bluetooth remote controller, can accomplish the control that corresponds domestic appliance through learning type bluetooth remote controller, can learn different first target bluetooth remote controllers through a learning type bluetooth remote controller, has practiced thrift the cost effectively, simultaneously, even if first target bluetooth remote controller can't purchase, does not influence the control to corresponding domestic appliance yet, and the life of giving people has brought the facility.
Drawings
Fig. 1 is a flowchart of a learning method of an intelligent learning bluetooth remote controller according to an embodiment of the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below. In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein.
It will be understood that when an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may also be present. In contrast, when an element is referred to as being "directly connected" to another element, there are no intervening elements present.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used herein in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
As shown in fig. 1, a learning method of an intelligent learning type bluetooth remote controller includes:
s1, the control module establishes Bluetooth connection with the learning type Bluetooth remote controller;
s2, the control module acquires initial state information of the learning type Bluetooth remote controller;
s3, establishing Bluetooth connection between the learning type Bluetooth remote controller and the first target Bluetooth remote controller;
s4, the learning type Bluetooth remote controller acquires preset information of a first target Bluetooth remote controller;
s5, the learning type Bluetooth remote controller sends the preset information of the first target Bluetooth remote controller to the control module;
s6, the control module analyzes the preset information of the first target Bluetooth remote controller;
s7, the control module sends the analyzed information to the learning type Bluetooth remote controller;
and S8, the learning type Bluetooth remote controller automatically completes information configuration.
In one embodiment, before S4, the control module sends information for acquiring the preset information of the first target bluetooth remote controller to the learning type bluetooth remote controller.
In one embodiment, the initial state information of the learning-type bluetooth remote controller includes first key value information, first voice decoding information, and first interface information.
In one embodiment, the preset information of the first target bluetooth remote controller includes a bluetooth name, a service, a feature, a description, second key value information, second voice decoding information, and second interface information.
In one embodiment, the second speech decoding information comprises one of Google speech or TI speech or ADPCM or SBC.
In one embodiment, in S6, the parsing method of the control module is:
s31, the control module makes the first key value information of the learning type Bluetooth remote controller and the second key value information of the first target Bluetooth remote controller in one-to-one correspondence;
s32, sending the second key value information to the learning type Bluetooth remote controller;
s33, the control module sends the second voice decoding information of the first target Bluetooth remote controller to the learning type Bluetooth remote controller;
s34, the control module makes the first interface information of the learning type Bluetooth remote controller and the second interface information of the first target Bluetooth remote controller in one-to-one correspondence;
s35, the control module sends the second interface information to the learning type Bluetooth remote controller;
s36, the control module sends the service, the characteristic and the description information of the first target Bluetooth remote controller to the learning type Bluetooth remote controller.
In one embodiment, after S8, the learning-oriented bluetooth remote controller is paired with the corresponding appliance and sends out the same bluetooth broadcast as the target remote controller.
A learning method of an intelligent learning type Bluetooth remote controller comprises the following steps:
s1, the control module is connected with the learning Bluetooth remote controller in a Bluetooth mode, and the control module is a mobile phone or a tablet;
s2, the control module acquires initial state information of the learning type Bluetooth remote controller, wherein the initial state information of the learning type Bluetooth remote controller comprises first key value information, first voice decoding information, first interface information, service, characteristics and description information;
s3, establishing Bluetooth connection between the learning type Bluetooth remote controller and the first target Bluetooth remote controller; the control module sends a control signal to the learning type Bluetooth remote controller to establish Bluetooth connection with the first target Bluetooth remote controller;
s4, the learning type Bluetooth remote controller acquires preset information of the first target Bluetooth remote controller, wherein the preset information comprises Bluetooth names, services, characteristics, descriptions, second key value information, second voice decoding information and second interface information;
s5, the learning type Bluetooth remote controller sends the preset information of the first target Bluetooth remote controller to the control module;
s6, the control module analyzes the preset information of the first target Bluetooth remote controller; the information can be analyzed into information which can be identified by the learning type Bluetooth remote controller;
s7, the control module sends the analyzed information to the learning type Bluetooth remote controller;
and S8, the learning type Bluetooth remote controller automatically completes information configuration, so that the information of the learning type Bluetooth remote controller after configuration is consistent with the preset information of the first target Bluetooth remote controller, and the household appliance corresponding to the first target Bluetooth remote controller can be controlled.
In the learning method of the intelligent learning type Bluetooth remote controller, the control module is connected with the learning type Bluetooth remote controller in a Bluetooth mode; the control module acquires initial state information of the learning type Bluetooth remote controller; the learning type Bluetooth remote controller is connected with a first target Bluetooth remote controller in a Bluetooth mode; the learning type Bluetooth remote controller acquires preset information of a first target Bluetooth remote controller; the learning type Bluetooth remote controller sends preset information of the first target Bluetooth remote controller to the control module; the control module analyzes preset information of the first target Bluetooth remote controller; the control module sends the analyzed information to the learning type Bluetooth remote controller; the configuration is accomplished automatically to learning type bluetooth remote controller, can accomplish the control that corresponds domestic appliance through learning type bluetooth remote controller, can learn different first target bluetooth remote controller through a learning type bluetooth remote controller, has practiced thrift the cost effectively, simultaneously, even if first target bluetooth remote controller can't purchase, also do not influence the control to corresponding domestic appliance, the life of giving people has brought the facility.
Further, in order to make the applicability of the intelligent learning type bluetooth remote controller wider, the learning type bluetooth remote controller can sequentially learn other target bluetooth remote controllers after learning the preset information of the first target bluetooth remote controller, and the specific learning method is as follows: for example, in
A learning method of an intelligent learning type Bluetooth remote controller comprises the following steps:
s11, the control module establishes Bluetooth connection with the learning type Bluetooth remote controller;
s12, the control module acquires initial state information of the learning type Bluetooth remote controller;
s13, establishing Bluetooth connection between the learning type Bluetooth remote controller and a second target Bluetooth remote controller;
s14, the learning type Bluetooth remote controller acquires preset information of a second target Bluetooth remote controller;
s15, the learning type Bluetooth remote controller sends the preset information of the second target Bluetooth remote controller to the control module;
s16, the control module analyzes the preset information of the second target Bluetooth remote controller;
s17, judging whether the third voice decoding information in the second target Bluetooth remote controller is the same as the second voice decoding information of the first target Bluetooth remote controller or not, if so, entering the next step;
s18, the control module sends the analyzed information to the learning type Bluetooth remote controller;
and S19, the learning type Bluetooth remote controller automatically completes information configuration.
Therefore, the learning type Bluetooth remote controller is compatible with a plurality of target Bluetooth remote controllers simultaneously, corresponding household appliances can be operated through one-piece switching, the remote controller resources can be effectively saved, and the cost can be fully saved.
Further, if the third voice decoding information in the second target bluetooth remote controller is not identical to the second voice decoding information of the first target bluetooth remote controller, the learning process is terminated. If the third voice decoding information in the second target Bluetooth remote controller is different from the second voice decoding information of the first target Bluetooth remote controller, the preset information of the second target Bluetooth remote controller and the preset information of the first target Bluetooth remote controller cannot be compatible, and the second target Bluetooth remote controller and the first target Bluetooth remote controller cannot be used in the same learning type Bluetooth remote controller.
Further, in order to make the compatibility of the learning-type bluetooth remote controller stronger, when the third speech decoding information in the second target bluetooth remote controller is different from the second speech decoding information of the first target bluetooth remote controller, after the learning-type bluetooth remote controller analyzes the third speech decoding information in the second target bluetooth remote controller, the analyzed third speech decoding information is sent to the first target bluetooth remote controller, so that the learning-type bluetooth remote controller learns the third speech decoding information again, the first target bluetooth remote controller is better compatible with the second target bluetooth remote controller, and the compatibility of the learning-type bluetooth remote controller is stronger.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (7)
1. A learning method of an intelligent learning type Bluetooth remote controller is characterized in that: comprises that
S1, the control module establishes Bluetooth connection with the learning type Bluetooth remote controller;
s2, the control module acquires initial state information of the learning type Bluetooth remote controller;
s3, establishing Bluetooth connection between the learning type Bluetooth remote controller and the first target Bluetooth remote controller;
s4, the learning type Bluetooth remote controller acquires preset information of a first target Bluetooth remote controller;
s5, the learning type Bluetooth remote controller sends the preset information of the first target Bluetooth remote controller to the control module;
s6, the control module analyzes the preset information of the first target Bluetooth remote controller;
s7, the control module sends the analyzed information to the learning type Bluetooth remote controller;
and S8, the learning type Bluetooth remote controller automatically completes information configuration.
2. The learning method of the intelligent learning type Bluetooth remote controller according to claim 1, wherein: before S4, the control module sends information for acquiring the preset information of the first target bluetooth remote controller to the learning-based bluetooth remote controller.
3. The learning method of the intelligent learning type Bluetooth remote controller according to claim 1, wherein: the initial state information of the learning type Bluetooth remote controller comprises first key value information, first voice decoding information and first interface information.
4. The learning method of the intelligent learning type Bluetooth remote controller according to claim 1, wherein: the preset information of the first target Bluetooth remote controller comprises Bluetooth name, service, characteristics, description, second key value information, second voice decoding information and second interface information.
5. The learning method of the intelligent learning type Bluetooth remote controller according to claim 4, wherein: the second speech decoding information comprises one of Google speech or TI speech or ADPCM or SBC.
6. The learning method of the intelligent learning type Bluetooth remote controller according to claim 1, wherein: in S6, the control module may analyze the method as follows:
s31, the control module makes the first key value information of the learning type Bluetooth remote controller and the second key value information of the first target Bluetooth remote controller in one-to-one correspondence;
s32, sending the second key value information to the learning type Bluetooth remote controller;
s33, the control module sends the second voice decoding information of the first target Bluetooth remote controller to the learning type Bluetooth remote controller;
s34, the control module makes the first interface information of the learning type Bluetooth remote controller and the second interface information of the first target Bluetooth remote controller in one-to-one correspondence;
s35, the control module sends the second interface information to the learning type Bluetooth remote controller;
and S36, the control module sends the service, the characteristic and the description information of the first target Bluetooth remote controller to the learning type Bluetooth remote controller.
7. The learning method of the intelligent learning type bluetooth remote controller according to claim 1, characterized in that: after S8, the learning-oriented bluetooth remote controller is paired with the corresponding appliance and sends out the same bluetooth broadcast as the target remote controller.
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Citations (5)
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CN104318753A (en) * | 2014-11-03 | 2015-01-28 | 合肥成科电子科技有限公司 | Intelligent control system for household appliances |
CN105469573A (en) * | 2015-12-16 | 2016-04-06 | 苏州汉辰数字科技有限公司 | Cloud smart controller APP and key value learning and assignment method |
WO2017152607A1 (en) * | 2016-03-09 | 2017-09-14 | 合一智能科技(深圳)有限公司 | Remote control method, remote controller and remote control system |
EP3640936A1 (en) * | 2017-12-08 | 2020-04-22 | Gree Electric Appliances (Wuhan) Co., Ltd. | Apparatus control device, method, and apparatus having same |
CN111901657A (en) * | 2020-08-11 | 2020-11-06 | 无锡迪富智能电子股份有限公司 | Learning type television remote controller and remote control learning method |
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Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
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CN104318753A (en) * | 2014-11-03 | 2015-01-28 | 合肥成科电子科技有限公司 | Intelligent control system for household appliances |
CN105469573A (en) * | 2015-12-16 | 2016-04-06 | 苏州汉辰数字科技有限公司 | Cloud smart controller APP and key value learning and assignment method |
WO2017152607A1 (en) * | 2016-03-09 | 2017-09-14 | 合一智能科技(深圳)有限公司 | Remote control method, remote controller and remote control system |
EP3640936A1 (en) * | 2017-12-08 | 2020-04-22 | Gree Electric Appliances (Wuhan) Co., Ltd. | Apparatus control device, method, and apparatus having same |
CN111901657A (en) * | 2020-08-11 | 2020-11-06 | 无锡迪富智能电子股份有限公司 | Learning type television remote controller and remote control learning method |
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