CN117307508B - Bluetooth-connected serial building block cooling fan system and control method thereof - Google Patents
Bluetooth-connected serial building block cooling fan system and control method thereof Download PDFInfo
- Publication number
- CN117307508B CN117307508B CN202311318667.1A CN202311318667A CN117307508B CN 117307508 B CN117307508 B CN 117307508B CN 202311318667 A CN202311318667 A CN 202311318667A CN 117307508 B CN117307508 B CN 117307508B
- Authority
- CN
- China
- Prior art keywords
- voice
- building block
- information
- user
- bluetooth
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000001816 cooling Methods 0.000 title claims abstract description 43
- 238000000034 method Methods 0.000 title claims abstract description 37
- 238000004891 communication Methods 0.000 claims abstract description 48
- 230000006870 function Effects 0.000 claims description 23
- 239000011159 matrix material Substances 0.000 claims description 15
- 238000001514 detection method Methods 0.000 claims description 12
- 239000013598 vector Substances 0.000 claims description 12
- 230000004913 activation Effects 0.000 claims description 11
- 238000012545 processing Methods 0.000 claims description 8
- 238000009826 distribution Methods 0.000 claims description 4
- 238000005516 engineering process Methods 0.000 claims description 4
- 230000008569 process Effects 0.000 claims description 4
- 238000003058 natural language processing Methods 0.000 claims description 2
- 230000008859 change Effects 0.000 abstract description 9
- 238000012549 training Methods 0.000 description 19
- 238000004590 computer program Methods 0.000 description 10
- 238000010586 diagram Methods 0.000 description 4
- 230000017525 heat dissipation Effects 0.000 description 4
- 230000000007 visual effect Effects 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000008713 feedback mechanism Effects 0.000 description 2
- 238000010801 machine learning Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 230000005855 radiation Effects 0.000 description 2
- 230000011218 segmentation Effects 0.000 description 2
- 238000012790 confirmation Methods 0.000 description 1
- 230000007423 decrease Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 230000001795 light effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
Classifications
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04D—NON-POSITIVE-DISPLACEMENT PUMPS
- F04D25/00—Pumping installations or systems
- F04D25/02—Units comprising pumps and their driving means
- F04D25/08—Units comprising pumps and their driving means the working fluid being air, e.g. for ventilation
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04D—NON-POSITIVE-DISPLACEMENT PUMPS
- F04D25/00—Pumping installations or systems
- F04D25/16—Combinations of two or more pumps ; Producing two or more separate gas flows
- F04D25/166—Combinations of two or more pumps ; Producing two or more separate gas flows using fans
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04D—NON-POSITIVE-DISPLACEMENT PUMPS
- F04D27/00—Control, e.g. regulation, of pumps, pumping installations or pumping systems specially adapted for elastic fluids
- F04D27/008—Stop safety or alarm devices, e.g. stop-and-go control; Disposition of check-valves
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04D—NON-POSITIVE-DISPLACEMENT PUMPS
- F04D29/00—Details, component parts, or accessories
- F04D29/002—Details, component parts, or accessories especially adapted for elastic fluid pumps
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04D—NON-POSITIVE-DISPLACEMENT PUMPS
- F04D29/00—Details, component parts, or accessories
- F04D29/60—Mounting; Assembling; Disassembling
- F04D29/64—Mounting; Assembling; Disassembling of axial pumps
- F04D29/644—Mounting; Assembling; Disassembling of axial pumps especially adapted for elastic fluid pumps
- F04D29/646—Mounting or removal of fans
Abstract
The invention provides a Bluetooth-connected serial building block cooling fan system and a control method thereof, wherein a Bluetooth communication module is used for receiving user voice information and equipment control instructions sent by an intelligent terminal, a voice recognition module is used for generating equipment control instructions according to the user voice information, and a controller is used for controlling a building block fan unit according to the equipment control instructions, so that remote control of a cooling building block fan is realized, meanwhile, the Bluetooth communication module and the voice recognition module are also arranged, and a user can change the operation mode of the building block fan only through the voice instructions or an application program of the intelligent terminal, thereby improving user experience.
Description
Technical Field
The invention relates to the technical field of electronic equipment heat dissipation, in particular to a Bluetooth-connected serial building block heat dissipation fan system and a control method thereof.
Background
In the field of electronic devices, particularly computers, servers, appliances, etc., cooling fans are a common and necessary cooling solution. Conventional cooling fans are typically hardware controlled and can only be speed adjusted inside the device or by simple physical buttons. The function of such fans is relatively single, and the user must manually adjust or rely on a simple temperature feedback mechanism to control the fan speed. Likewise, if the fan is equipped with LED lights or other visual effects, these effects are also typically preset and cannot be easily changed.
Due to the above limitations, the user may experience various problems and inconveniences in practical use. For example, when the ambient temperature or the equipment workload changes, conventional radiator fans cannot automatically adapt to these changes or require manual adjustments by the user. Furthermore, due to the lack of remote control functionality, the user cannot easily change the fan settings or light patterns at a location remote from the device.
In view of the above, there is a need to solve the problems in the prior art.
Disclosure of Invention
The invention provides a Bluetooth-connected serial building block cooling fan system and a control method thereof, which are used for solving the defect that a cooling fan cannot be intelligently controlled in the prior art.
The invention provides a Bluetooth-connected serial building block cooling fan system, which comprises:
the system comprises a Bluetooth communication module, a voice recognition module, a controller and at least one building block fan unit, wherein the building block fan unit comprises at least one building block fan and a lamplight device;
the first output end of the Bluetooth communication module is connected with the input end of the voice recognition module, the output end of the voice recognition module is connected with the first input end of the controller, the first output end of the controller is connected with the building block fan unit, and the second output end of the Bluetooth communication module is connected with the second input end of the controller;
the Bluetooth communication module is used for receiving user voice information and equipment control instructions sent by the intelligent terminal;
the voice recognition module is used for generating equipment control instructions according to the user voice information;
the controller is used for controlling the building block fan unit according to the equipment control instruction.
The invention provides a Bluetooth-connected serial building block cooling fan system, which generates equipment control instructions according to user voice information, and specifically comprises the following steps:
extracting the characteristics of the voice information of the user to obtain voice characteristic information;
inputting the voice characteristic information into an LSTM network, and generating a phoneme probability sequence corresponding to the voice characteristic information;
performing frame level prediction processing on the phoneme probability sequence to obtain text information corresponding to the user voice information;
generating the equipment control instruction according to the text information;
the LSTM network is as follows:
f t ＝σ(W f ·[h t -1,x t ]+b f )；
i t ＝σ(W i ·[h t -1,x t ]+bi)；
o t ＝σ(Wo·[h t -1,x t ]+b o )；
g t ＝tanh(W g ·[h t -1,x t ]+b g )；
c t ＝f t ·c t -1+i t ·g t ；
h t ＝o t ·tanh(c t )；
wherein x is t Is voice characteristic information, t is time, f t I is the activation value of the forgetting gate t To input the activation value of the gate o t To output the activation value of the gate g t For candidate update of cell state c t Is the cell state at time t, h t Is the hidden state at the t-th moment, W f Weight matrix for forgetting gate, W i Weight matrix for input gate, W o For outputting the weight matrix of the gate, W g Weight matrix for cell state, b f Bias item for forgetting door b i Bias term for input gate, b o B for outputting the bias term of the gate g Bias terms for cell states;
the frame level prediction process is as follows:
p(y t ∣h t )＝Softmax(W·ht+b)；
wherein p (y t ∣h t ) Is the hidden state h at a given time t t Under, predictive label y t Conditional probability of (2). h is a t For the hidden state at the t-th moment, W is the weight matrix of the full connection layer, and b is the bias of the full connection layerThe vector is set, softmax, is the activation function used to convert the un-normalized predictions into probability distributions.
According to the serial building block cooling fan system connected by Bluetooth, the voice characteristic information is input into an LSTM network to generate a phoneme probability sequence corresponding to the voice characteristic information, and the system specifically comprises the following steps:
comparing the voice characteristic information with target user characteristic information to determine whether the user voice information is generated by a target user;
when the user voice information is voice information generated by a target user, inputting the voice characteristic information into an LSTM network, and generating a phoneme probability sequence corresponding to the voice characteristic information;
the sequence of generated phoneme probabilities is as follows:
h t ＝α·o t ·tanh(c t )；
h t for the hidden state at the t-th moment, α is an enabling parameter, and α=1, c when the user voice information is the voice information generated by the target user t The cell state at time t.
According to the serial building block cooling fan system connected by Bluetooth, the invention compares the voice characteristic information with the target user characteristic information to determine whether the user voice information is generated by the target user, and the system specifically comprises the following steps:
extracting voice voiceprint features of the voice feature information;
extracting user voiceprint features of the target user feature information;
determining the similarity of the voice voiceprint features and the user voiceprint features;
and when the similarity is larger than a preset similarity threshold, the user voice information is voice information generated by a target user.
According to the Bluetooth-connected serial building block cooling fan system provided by the invention, the equipment control instruction comprises a fan rotating speed instruction and a lamplight mode instruction:
the fan rotating speed instruction is used for controlling the rotating speed of the fan of the building block fan unit;
the light mode instruction is used for controlling the light mode of the building block fan unit.
The invention provides a Bluetooth-connected serial building block cooling fan system, which further comprises: a temperature detection module;
the output end of the temperature detection module is connected with the third input end of the controller;
the temperature detection module is used for detecting the ambient temperature;
the controller is also used for adjusting the fan rotating speed of the building block fan unit according to the ambient temperature.
The invention provides a Bluetooth-connected serial building block cooling fan system, which further comprises: an alarm module;
the input end of the alarm module is connected with the second output end of the controller;
the controller is further configured to generate temperature alarm information when the ambient temperature is greater than a preset temperature threshold, and send the temperature alarm information to the alarm module.
According to the Bluetooth-connected serial building block cooling fan system provided by the invention, the building block fan unit further comprises an embedded microprocessor and a power supply, and the building block fan further comprises a magnetic shell;
the embedded microprocessor is used for controlling the building block fan according to the equipment control instruction sent by the controller;
the building block fans are magnetically connected through the magnetic shell.
The invention also provides a control method of the Bluetooth-connected serial building block cooling fan system, which comprises the following steps:
receiving user voice information sent by an intelligent terminal through a Bluetooth communication module;
generating a second equipment control instruction according to the user voice information;
and controlling the building block fan unit according to the second equipment control instruction.
The invention also provides a control method of the Bluetooth-connected serial building block cooling fan system, which comprises the following steps:
receiving a first equipment control instruction sent by an intelligent terminal through a Bluetooth communication module;
and controlling the building block fan unit according to the first equipment control instruction.
The invention also provides an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing a control method as described in any one of the above when executing the program.
The present invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a control method as described in any of the above.
The invention also provides a computer program product comprising a computer program which, when executed by a processor, implements a control method as described in any one of the above.
According to the Bluetooth-connected serial building block cooling fan system and the control method thereof, the Bluetooth communication module is used for receiving the user voice information and the equipment control instruction sent by the intelligent terminal, the voice recognition module is used for generating the equipment control instruction according to the user voice information, and the controller is used for controlling the building block fan unit according to the equipment control instruction, so that remote control of the cooling building block fan is realized, meanwhile, the Bluetooth communication module and the voice recognition module are arranged, and a user can change the operation mode of the building block fan only through the voice instruction or an application program of the intelligent terminal, so that user experience is improved.
Drawings
In order to more clearly illustrate the invention or the technical solutions of the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are some embodiments of the invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic structural diagram of a bluetooth-connected serial building block radiator fan system according to the present invention;
FIG. 2 is a schematic diagram of a serial building block radiator fan system according to an embodiment of the present invention;
FIG. 3 is a schematic flow chart of a control method of a Bluetooth-connected serial building block cooling fan system;
FIG. 4 is a flow chart of a control method of another Bluetooth connected serial building block cooling fan system provided by the invention;
fig. 5 is a schematic structural diagram of an electronic device provided by the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In the field of electronic devices, particularly in terms of computers, servers, home appliances, and the like, a heat radiation fan is widely used as a common and necessary heat radiation solution. Conventional radiator fan systems are mainly controlled by hardware, and generally can only be adjusted in rotation speed by control logic inside the device or by simple physical buttons outside.
This conventional manner of fan control has various limitations. First, its function is relatively single, mostly relying on manual operation or a simple temperature feedback mechanism to control fan speed. Such designs do not allow the fan to flexibly accommodate different environmental factors, such as changes in ambient temperature or increases or decreases in the workload of the device. When these external factors change, the user must manually adjust the fan speed to ensure that the device is operating stably.
Second, if the cooling fan is equipped with LED lights or other visual effects, these visual effects are usually preset and cannot be easily personalized. This limits the user experience to a certain extent, especially when the user wants to change the light effect according to his own preferences or to a specific situation.
Again, due to the lack of remote control functionality, the user cannot set the fan or light mode at a location remote from the device, which can be very inconvenient in certain application scenarios. For example, in the application scenario of a data center or a large household appliance, it is very impractical to manually adjust the cooling fan of each device.
In order to solve the problems of the cooling fans in the prior art, the invention provides a Bluetooth-connected serial building block cooling fan system so as to realize intelligent control of the cooling fans. As shown in fig. 1, a bluetooth-connected serial building block radiator fan system includes:
a bluetooth communication module 110, a voice recognition module 120, a controller 130, and at least one building block fan unit 140 comprising at least one building block fan and a light device;
a first output end of the bluetooth communication module 110 is connected with an input end of the voice recognition module 120, an output end of the voice recognition module 120 is connected with a first input end of the controller 130, a first output end of the controller 130 is connected with the building block fan unit 140, and a second output end of the bluetooth communication module 110 is connected with a second input end of the controller 130;
the Bluetooth communication module is used for receiving user voice information and a first equipment control instruction sent by the intelligent terminal;
the voice recognition module is used for generating a second equipment control instruction according to the voice information of the user;
the controller is used for controlling the building block fan unit according to the equipment control instruction.
The Bluetooth-connected serial building block cooling fan system comprises a Bluetooth communication module, a voice recognition module, a controller and at least one building block fan unit, wherein the building block fan unit comprises at least one building block fan and a lamplight device. The building block fan can be provided with a Bluetooth connection function, and also can be provided with a 2.4G wireless connection function.
The first output end of the Bluetooth communication module is connected with the input end of the voice recognition module, the output end of the voice recognition module is connected with the first input end of the controller, the first output end of the controller is connected with the building block fan unit, and the second output end of the Bluetooth communication module is connected with the second input end of the controller.
The Bluetooth communication module is used for receiving user voice information and a first device control instruction sent by the intelligent terminal, the first device control instruction is a device control instruction directly generated by the intelligent terminal, and the user voice information can generate a second device control instruction through the voice recognition module. Preferably, user voice information and equipment control instructions sent by the target intelligent terminal are received. Specifically, the IP address contained in the user voice information and the equipment control instruction is obtained, when the IP address is the IP address of the preset target user terminal, the user voice information is sent to the voice recognition module, and the equipment control instruction is sent to the controller. In addition, besides receiving the user voice information and the equipment control instruction sent by the target intelligent terminal, the state query instruction sent by the target intelligent terminal can also be received, and the state query instruction can be used for querying the working state of the building block fan unit.
In this embodiment, the acquisition channels of the user voice information and the device control instruction are not limited. For the user voice information, the user voice information can be acquired directly through radio equipment of the intelligent terminal, or can be acquired from other electronic equipment and a computer system through a data transmission interface or remote communication transmission. The radio equipment can be input and output equipment such as intelligent voice interaction equipment, intelligent mobile phones and tablet computers. For the device control instruction, the device control instruction may be generated by an application program on the intelligent terminal, and the user may download a corresponding application program on the intelligent terminal and perform certain interactive operation (such as clicking, touch, gesture, input box input, drop-down menu selection, etc.) on the display interface, so as to trigger the device control instruction to send to the communication module of the terminal, and then receive by the bluetooth communication module of the serial building block radiator fan system.
In order to improve the flexibility of the cooling fan, the system is provided with at least one building block fan unit, a user can select proper quantity according to the needs, and meanwhile, the number of building block fans in the building block fan unit can also select proper quantity according to the needs, and the building block fans can be physically connected.
The invention provides a Bluetooth-connected serial building block cooling fan system, which receives user voice information and equipment control instructions sent by an intelligent terminal through a Bluetooth communication module, generates the equipment control instructions according to the user voice information through a voice recognition module, and then controls a building block fan unit through a controller according to the equipment control instructions, so that remote control of a cooling building block fan is realized, and meanwhile, the Bluetooth communication module and the voice recognition module are also arranged, and a user can change the operation mode of the building block fan only through the voice instructions or application programs of the intelligent terminal, so that user experience is improved. And moreover, a user can customize the building block fan unit according to actual needs, so that the setting flexibility of the cooling fan is improved.
The invention provides a Bluetooth-connected serial building block cooling fan system, which generates equipment control instructions according to user voice information, and specifically comprises the following steps:
extracting the characteristics of the voice information of the user to obtain voice characteristic information;
inputting the voice characteristic information into an LSTM network, and generating a phoneme probability sequence corresponding to the voice characteristic information;
performing frame level prediction processing on the phoneme probability sequence to obtain text information corresponding to the user voice information;
generating the equipment control instruction according to the text information;
the LSTM network is as follows:
f t ＝σ(W f ·[h t -1,x t ]+b f )；
i t ＝σ(W i ·[h t -1,x t ]+bi)；
o t ＝σ(Wo·[h t -1,x t ]+b o )；
g t ＝tanh(W g ·[h t -1,x t ]+b g )；
c t ＝f t ·c t -1+i t ·g t ；
h t ＝o t ·tanh(c t )；
wherein x is t Is voice characteristic information, t is time, f t I is the activation value of the forgetting gate t To input the activation value of the gate o t To output the activation value of the gate g t For candidate update of cell state c t Is the cell state at time t, h t Is the hidden state at the t-th moment, W f Weight matrix for forgetting gate, W i Weight matrix for input gate, W o For outputting the weight matrix of the gate, W g Weight matrix for cell state, b f Bias item for forgetting door b i Bias term for input gate, b o B for outputting the bias term of the gate g Is a bias term for the state of the cell.
h t Is the output of the LSTM at each time step t, which is used as an intermediate representation of the acoustic model in the ASR system. This output needs further processing to be converted into the desired form. In this embodiment, the output sequence of the acoustic model needs to be predicted at the frame level so as to be converted into a text string sequence.
The frame level prediction process is as follows:
p(y t ∣h t )＝Softmax(W·ht+b)；
wherein p (y t ∣h t ) Is the hidden state h at a given time t t Under, predictive label y t Conditional probability of (2). h is a t For the hidden state at time t, W is the weight matrix of the fully connected layer, b is the bias vector of the fully connected layer, softmax is the activation function for converting the un-normalized prediction into a probability distribution.
The frame-level predictions provide a probability distribution for each audio frame or group of frames, representing the probability of a possible corresponding phoneme, word or other tag. The decoding algorithm then uses this information to construct one or more most likely text sequences.
As another alternative embodiment, after the text information is obtained, the text information may be input into a speech recognition model trained in the speech recognition module, so as to obtain text information corresponding to the user speech information. The speech recognition model may perform sentence-level segmentation processing on the obtained text information to obtain a plurality of sentences. Then, word segmentation processing is carried out on each sentence respectively, so that the phrase forming the sentence is obtained. And then, inputting the obtained phrase into a previously constructed knowledge graph to obtain text information corresponding to the phrase.
Here, the training data set with the label can be trained by inputting the training data set into the initialized speech recognition model for training. Specifically, after data in the training data set is input into the initialized voice recognition model, a recognition result output by the model, namely a keyword prediction result, can be obtained, and the accuracy of recognition model prediction can be evaluated according to the keyword prediction result and the label, so that parameters of the model are updated. For speech recognition models, the accuracy of the model prediction can be measured by a Loss Function (Loss Function) defined on a single training data for measuring the prediction error of a training data, specifically, determining the Loss value of the training data by the label of the single training data and the model for the prediction of the training data. In actual training, one training data set has a lot of training data, so that a Cost Function (Cost Function) is generally adopted to measure the overall error of the training data set, and the Cost Function is defined on the whole training data set and is used for calculating the average value of the prediction errors of all the training data, so that the prediction effect of the model can be better measured. For a general machine learning model, based on the cost function, a regular term for measuring the complexity of the model can be used as a training objective function, and based on the objective function, the loss value of the whole training data set can be obtained. There are many kinds of common loss functions, such as 0-1 loss function, square loss function, absolute loss function, logarithmic loss function, cross entropy loss function, etc., which can be used as the loss function of the machine learning model, and will not be described in detail herein. In the embodiment of the application, one loss function can be selected to determine the loss value of training. Based on the trained loss value, updating the parameters of the model by adopting a back propagation algorithm, and iterating for several rounds to obtain the trained speech recognition model. Specifically, the number of iteration rounds may be preset, or training may be considered complete when the test set meets the accuracy requirements.
As a further optional embodiment, the inputting the voice feature information into the LSTM network, and generating a phoneme probability sequence corresponding to the voice feature information specifically includes:
comparing the voice characteristic information with target user characteristic information to determine whether the user voice information is generated by a target user;
when the user voice information is voice information generated by a target user, inputting the voice characteristic information into an LSTM network, and generating a phoneme probability sequence corresponding to the voice characteristic information;
the sequence of generated phoneme probabilities is as follows:
h t ＝α·o t ·tanh(c t )；
h t for the hidden state at the t-th moment, α is an enabling parameter, and α=1, c when the user voice information is the voice information generated by the target user t The cell state at time t.
In this embodiment, it is required to determine whether the user voice information is generated by the target user, and when the user voice information is generated by the target user, α is 1, i.e., h t Can normally conveyAs a result, when the user speech information is not the speech information generated by the target user, alpha is 0, i.e. h t The result cannot be normally output.
As a further optional embodiment, the comparing the voice feature information with the target user feature information, and determining whether the user voice information is generated by the target user specifically includes:
extracting voice voiceprint features of the voice feature information;
extracting user voiceprint features of the target user feature information;
determining the similarity of the voice voiceprint features and the user voiceprint features;
and when the similarity is larger than a preset similarity threshold, the user voice information is voice information generated by a target user.
In this embodiment, in order to avoid a person other than the target user from touching by mistake, it is necessary to determine whether the user voice information is the voice information of the target user, so that it is necessary to compare the user voiceprint features of the user voice information and confirm that the user voice information is the voice information generated by the target user.
Specifically, voiceprints of the user are collected and put in storage, and the voiceprint characteristics of the user are obtained. After the voiceprint database is built, voiceprint recognition 1 can be performed based on the voiceprint database: 1 identity confirmation and voiceprint recognition. And comparing the voice print characteristics of the acquired voice information with a huge amount of voice prints in the voice print library, so as to determine the identity of the unknown voice. When the voice information is confirmed to be generated by a target user, the voice recognition module is called to extract text information in the voice information, when the text information is extracted, the voice information is required to be subjected to text processing, an automatic voice recognition technology (Automatic Speech Recognition, ASR) can be adopted to carry out voice recognition on the voice information, the text content of the voice information is obtained, specifically, in the recognition stage, the feature vector of the input voice is sequentially compared with each template in a template library in the voice recognition module, and the template with the highest similarity is output as a recognition result.
Alternatively, the text content of the voice information is converted into structured data, such as vectors, by natural language processing technology, so that the converted structured data is used as text feature information. In addition, in some embodiments, vector indexes may be set on acoustic feature information in the form of vectors to reduce the amount of data computation in the matching query process.
As a further alternative embodiment, the device control instructions include a fan speed instruction and a light mode instruction:
the fan rotating speed instruction is used for controlling the rotating speed of the fan of the building block fan unit;
the light mode instruction is used for controlling the light mode of the building block fan unit.
In this embodiment, the device control instruction includes a fan rotation speed instruction and a light mode instruction, and the user may send the fan rotation speed instruction and the light mode instruction to the radiator fan system through bluetooth of the intelligent terminal device, so as to control the working state of the radiator fan system. The fan rotating speed instruction is used for controlling the fan rotating speeds of the plurality of groups of building block fans, the fan rotating speeds can be controlled independently or uniformly, and the lamplight mode instruction is used for controlling the lamplight mode of the lamplight device. For a fan rotating speed instruction, the instruction can be a specific rotating speed parameter of the fan, or a rotating speed mode parameter, namely a plurality of preset rotating speed modes are prestored in a controller, different rotating speed mode parameters correspond to different preset modes, and when the controller receives the rotating speed mode parameters, the building block fan unit is controlled according to the operation parameters corresponding to the preset modes. For the lamplight mode instruction, the instruction can be parameters such as brightness and color of the lamplight device, or lamplight flickering mode parameters, namely, a plurality of preset flickering modes are prestored in the controller, different lamplight flickering mode parameters correspond to different preset flickering modes, and when the controller receives the lamplight flickering mode parameters, the lamplight device is controlled according to the operation parameters corresponding to the preset flickering modes.
As a further alternative embodiment, further comprising: a temperature detection module;
the output end of the temperature detection module is connected with the third input end of the controller;
the temperature detection module is used for detecting the ambient temperature;
the controller is also used for adjusting the fan rotating speed of the building block fan unit according to the ambient temperature.
In this embodiment, in order to intelligently adjust the rotation speed of the building block cooling fan, the system further comprises a temperature detection module, and the temperature sensor in the temperature detection module detects the temperature of the current working environment, so that the rotation speed of the building block fan unit is adaptively adjusted. Illustratively, when the temperature of the working environment reaches 75 °, the rotational speed of the building block fan unit is set to 4000 rpm, when the temperature of the working environment reaches 60 °, the rotational speed of the building block fan unit is set to 3000 rpm, and so on. Further, the temperature in the working environment may not be the same everywhere, in order to control the fans more accurately, temperature sensors may be provided in the working environment where the block fan units are provided, thereby detecting the local temperature of the working environment to precisely control the rotational speed of each block fan unit.
As a further alternative embodiment, further comprising: an alarm module;
the input end of the alarm module is connected with the second output end of the controller;
the controller is further configured to generate temperature alarm information when the ambient temperature is greater than a preset temperature threshold, and send the temperature alarm information to the alarm module.
In this embodiment, in order to improve the safety of the system, the system is further provided with an alarm module, and when the temperature detection module detects that the working environment temperature exceeds the preset temperature threshold, the controller immediately generates temperature alarm information and sends the temperature alarm information to the alarm module. And when the alarm module receives the alarm information, alarm operation is performed. The alarm operation may be to generate an alarm by starting a buzzer, generate an alarm voice by a voice broadcasting module, and perform a light alarm by a light device of the building block fan unit corresponding to the temperature threshold exceeding area, for example, change the light device of the building block fan unit from a first color (such as green) to a second color (such as red).
As a further alternative embodiment, the building block fan unit further comprises an embedded microprocessor and a power supply, the building block fan further comprising a magnetic housing;
the embedded microprocessor is used for controlling the building block fan according to the equipment control instruction sent by the controller;
the building block fans are magnetically connected through the magnetic shell.
In this embodiment, in order to further improve flexibility of the building block fan, an independent power supply and an embedded microprocessor are further provided for each building block fan unit. The building block fan units can be prevented from being affected by each other by the aid of the independent power supply, specifically, each group of building block fans can be connected in series with more than 3 building block fans at least, power supply of the fans is achieved through terminal connection of a main board PWM 4PIN, power is synchronously distributed to a Bluetooth receiver, and each group of building block fans is independently powered, so that working stability of the fans is guaranteed. By arranging the embedded microprocessor, independent control of each building block fan can be realized. In order to facilitate the installation of users, the building block fan further comprises a magnetic shell, and the building block fan can be magnetically connected, so that the convenience of assembling the building block fan unit is improved.
Based on the above description, one embodiment enumerated below is described in detail. As shown in fig. 2, the building block cooling fan system is arranged on a computer motherboard 1, the computer motherboard 1 is provided with a plurality of power interfaces 11 and USB interfaces 12, a bluetooth communication module 2 of the building block cooling fan system is connected and communicated with the USB interfaces 12 of the computer motherboard through USB data lines, a plurality of building block fan units 3 are arranged, each building block fan unit 3 is formed by splicing two or more single building block fans through building blocks, and each building block fan 3 is provided with a signal receiver 4 which can be used for receiving signals emitted by the bluetooth communication module 2 and controlling the lamp changing mode and the rotating speed of the single fan; the building block fan units 3 are respectively connected with the corresponding power interfaces 11 of the computer main board 1 to take power, and synchronously supply power to the corresponding signal receivers 4. After the bluetooth communication module 2 receives the device control instruction sent by the intelligent terminal, the bluetooth communication module 2 sends the device control instruction to the processor 5, and the processor 5 includes a voice recognition module and a controller, and is used for corresponding to the device control instruction.
As shown in fig. 3, the control method of the bluetooth-connected serial building block cooling fan system provided by the invention is described below, and the control method of the bluetooth-connected serial building block cooling fan system described below and the bluetooth-connected serial building block cooling fan system described above can be referred to correspondingly.
A control method of a Bluetooth-connected serial building block cooling fan system comprises the following steps:
receiving user voice information sent by an intelligent terminal through a Bluetooth communication module;
generating a second equipment control instruction according to the user voice information;
and controlling the building block fan unit according to the second equipment control instruction.
In this embodiment, the bluetooth communication module receives the user voice information sent by the intelligent terminal, the voice recognition module generates the equipment control instruction according to the user voice information, and then the controller controls the building block fan unit according to the equipment control instruction, so that remote control of the heat dissipation building block fan is realized, meanwhile, the bluetooth communication module and the voice recognition module are also arranged, and a user can change the operation mode of the building block fan only through the voice instruction or an application program of the intelligent terminal, so that user experience is improved.
As shown in fig. 4, another control method of the bluetooth-connected serial building block radiator fan system provided by the present invention is described below,
a control method of a Bluetooth-connected serial building block cooling fan system comprises the following steps:
receiving a first equipment control instruction sent by an intelligent terminal through a Bluetooth communication module;
and controlling the building block fan unit according to the first equipment control instruction.
The device control instruction sent by the intelligent terminal is received through the Bluetooth communication module, then the building block fan unit is controlled through the controller according to the device control instruction, remote control of the heat dissipation building block fan is achieved, meanwhile, the Bluetooth communication module and the voice recognition module are further arranged, and a user can change the operation mode of the building block fan only through the voice instruction or an application program of the intelligent terminal, so that user experience is improved.
Fig. 5 illustrates a physical schematic diagram of an electronic device, as shown in fig. 5, which may include: processor 510, communication interface (Communications Interface) 520, memory 530, and communication bus 540, wherein processor 510, communication interface 520, memory 530 complete communication with each other through communication bus 540. Processor 510 may invoke logic instructions in memory 530 to perform a control method for a bluetooth-connected serial block radiator fan system, the method comprising:
receiving user voice information sent by an intelligent terminal through a Bluetooth communication module;
generating a second equipment control instruction according to the user voice information;
and controlling the building block fan unit according to the second equipment control instruction.
Further, the logic instructions in the memory 530 described above may be implemented in the form of software functional units and may be stored in a computer-readable storage medium when sold or used as a stand-alone product. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
In another aspect, the present invention further provides a computer program product, where the computer program product includes a computer program, where the computer program can be stored on a non-transitory computer readable storage medium, and when the computer program is executed by a processor, the computer can execute a control method of the bluetooth-connected serial building block radiator fan system provided by the above methods, and the method includes:
receiving user voice information sent by an intelligent terminal through a Bluetooth communication module;
generating a second equipment control instruction according to the user voice information;
and controlling the building block fan unit according to the second equipment control instruction.
In still another aspect, the present invention further provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method for controlling a serial building block radiator fan system for performing bluetooth connection provided by the above methods, the method comprising:
receiving user voice information sent by an intelligent terminal through a Bluetooth communication module;
generating a second equipment control instruction according to the user voice information;
and controlling the building block fan unit according to the second equipment control instruction.
The apparatus embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course may be implemented by means of hardware. Based on this understanding, the foregoing technical solution may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the respective embodiments or some parts of the embodiments.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (7)
1. A bluetooth connection's concatenation building blocks radiator fan system, its characterized in that includes: the system comprises a Bluetooth communication module, a voice recognition module, a controller and at least one building block fan unit, wherein the building block fan unit comprises at least one building block fan and a lamplight device;
the first output end of the Bluetooth communication module is connected with the input end of the voice recognition module, the output end of the voice recognition module is connected with the first input end of the controller, the first output end of the controller is connected with the building block fan unit, and the second output end of the Bluetooth communication module is connected with the second input end of the controller;
the Bluetooth communication module is used for receiving user voice information and a first equipment control instruction sent by the intelligent terminal;
the voice recognition module is used for generating a second equipment control instruction according to the voice information of the user, and specifically comprises the following steps: extracting the characteristics of the voice information of the user to obtain voice characteristic information; inputting the voice characteristic information into an LSTM network, and generating a phoneme probability sequence corresponding to the voice characteristic information; performing frame level prediction processing on the phoneme probability sequence to obtain text information corresponding to the user voice information; generating the second equipment control instruction according to the text information; the LSTM network is as follows:
；
；
；
；
；
；
wherein,for speech characteristic information, < > for>For time (I)>For the activation value of the amnestic door, +.>For inputting into doorsActivation value->For outputting the activation value of the gate, +.>For candidate update of cell state, +.>Is->Time cell state->Is->Hidden state of moment->Weight matrix for forgetting gate, +.>For the weight matrix of the input gate, +.>For the weight matrix of the output gate, +.>Weight matrix for cell state, +.>Bias item for forgetting gate, +.>For the bias term of the input gate, +.>For outputting the bias term of the gate +.>Bias terms for cell states; the frame level prediction process is as follows:
；
wherein,is +.>Hidden state +.>Lower, predictive tag->Conditional probability of (2); />Is->Hidden state of moment->Is the weight matrix of the full connection layer, +.>Is the bias vector of the full link layer, +.>Is an activation function for converting the non-normalized predictions into probability distributions; inputting the voice characteristic information into an LSTM network to generate a phoneme probability sequence corresponding to the voice characteristic information, wherein the method specifically comprises the following steps: will beComparing the voice characteristic information with the target user characteristic information, and determining whether the user voice information is generated by a target user; when the user voice information is voice information generated by a target user, inputting the voice characteristic information into an LSTM network, and generating a phoneme probability sequence corresponding to the voice characteristic information; the sequence of generated phoneme probabilities is as follows:
；
is->Hidden state of moment->For enabling parameters, when the user speech information is speech information generated by the target user +.>＝1，/>Is->The cell state at the moment; the step of comparing the voice characteristic information with the target user characteristic information to determine whether the user voice information is generated by the target user, specifically includes: extracting voice voiceprint features of the voice feature information; extracting user voiceprint features of the target user feature information; determining the similarity of the voice voiceprint features and the user voiceprint features; when the similarity is larger than a preset similarity threshold, the user voice information is voice information generated by a target user; confirming speech information as target user generated languageCalling a voice recognition module to extract text information in the voice information after the voice information; before text information in the voice information is extracted, firstly, the voice information is subjected to text processing, the ASR automatic voice recognition technology is adopted to carry out voice recognition on the voice information, the text content of the voice information is obtained, in the recognition stage, feature vectors of input voice are sequentially compared with each template in a template library in a voice recognition module in similarity, and the highest similarity is output as a recognition result; the text content of the voice information is converted into a vector through a natural language processing technology, and the converted vector data is used as text characteristic information; setting a vector index for the acoustic feature information in the form of a vector;
the controller is used for controlling the building block fan unit according to the first equipment control instruction or the second equipment control instruction.
2. The bluetooth connected serial block radiator fan system of claim 1, wherein the first device control command and the second device control command include a fan speed command and a light mode command:
the fan rotating speed instruction is used for controlling the rotating speed of the fan of the building block fan unit;
the light mode instruction is used for controlling the light mode of the building block fan unit.
3. The bluetooth connected serial block radiator fan system of claim 1, further comprising: a temperature detection module;
the output end of the temperature detection module is connected with the third input end of the controller;
the temperature detection module is used for detecting the ambient temperature;
the controller is also used for adjusting the fan rotating speed of the building block fan unit according to the ambient temperature.
4. The bluetooth connected serial block radiator fan system of claim 3, further comprising: an alarm module;
the input end of the alarm module is connected with the second output end of the controller;
the controller is further configured to generate temperature alarm information when the ambient temperature is greater than a preset temperature threshold, and send the temperature alarm information to the alarm module.
5. The bluetooth connected serial block cooling fan system according to claim 1 wherein said block fan unit further comprises an embedded microprocessor and power source, said block fan further comprising a magnetic housing;
the embedded microprocessor is used for controlling the building block fan according to the first equipment control instruction and the second equipment control instruction sent by the controller;
the building block fans are magnetically connected through the magnetic shell.
6. A control method of a bluetooth-connected serial building block radiator fan system, the control method being applied to the serial building block radiator fan system according to any one of claims 1 to 5, comprising:
receiving user voice information sent by an intelligent terminal through a Bluetooth communication module;
generating a second equipment control instruction according to the user voice information;
and controlling the building block fan unit according to the second equipment control instruction.
7. A control method of a bluetooth-connected serial building block radiator fan system, the control method being applied to the serial building block radiator fan system according to any one of claims 1 to 5, comprising:
receiving a first equipment control instruction sent by an intelligent terminal through a Bluetooth communication module;
and controlling the building block fan unit according to the first equipment control instruction.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311318667.1A CN117307508B (en) | 2023-10-11 | 2023-10-11 | Bluetooth-connected serial building block cooling fan system and control method thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311318667.1A CN117307508B (en) | 2023-10-11 | 2023-10-11 | Bluetooth-connected serial building block cooling fan system and control method thereof |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117307508A CN117307508A (en) | 2023-12-29 |
| CN117307508B true CN117307508B (en) | 2024-04-09 |
Family
ID=89255050
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311318667.1A Active CN117307508B (en) | 2023-10-11 | 2023-10-11 | Bluetooth-connected serial building block cooling fan system and control method thereof |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117307508B (en) |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106762760A (en) * | 2016-11-10 | 2017-05-31 | 北京市鑫全盛商贸有限公司 | The control method and system of a kind of computer fan |
| CN107621784A (en) * | 2016-07-14 | 2018-01-23 | 美的智慧家居科技有限公司 | Intelligent home furnishing control method, apparatus and system |
| CN109538516A (en) * | 2019-01-26 | 2019-03-29 | 郑州城市职业学院 | A kind of intelligent fan |
| CN110821865A (en) * | 2019-12-20 | 2020-02-21 | 东莞市奇芳电气有限公司 | Fan with independent sound and light alarm system |
| CN111258224A (en) * | 2018-11-30 | 2020-06-09 | 西安欧思奇软件有限公司 | Intelligent household control method and device, computer equipment and storage medium |
| CN213392751U (en) * | 2020-05-15 | 2021-06-08 | 深圳市信利康电子有限公司 | Voice interaction intelligent electric fan based on neural network chip and electric fan system |
| CN214533669U (en) * | 2021-03-25 | 2021-10-29 | 深圳市中科声科技有限公司 | Voice recognition wireless fan receiving device |
| CN115405567A (en) * | 2022-09-02 | 2022-11-29 | 硕祺电子散热技术(东莞)有限公司 | Series modulation equipment fan and control method thereof |
| CN116428690A (en) * | 2023-06-12 | 2023-07-14 | 广州豪特节能环保科技股份有限公司 | Voice control method and device for energy-saving air conditioning system |
| KR20230126997A (en) * | 2022-02-24 | 2023-08-31 | 주식회사 페블스퀘어 | Module, method and system for voice recognition |
-
2023
- 2023-10-11 CN CN202311318667.1A patent/CN117307508B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107621784A (en) * | 2016-07-14 | 2018-01-23 | 美的智慧家居科技有限公司 | Intelligent home furnishing control method, apparatus and system |
| CN106762760A (en) * | 2016-11-10 | 2017-05-31 | 北京市鑫全盛商贸有限公司 | The control method and system of a kind of computer fan |
| CN111258224A (en) * | 2018-11-30 | 2020-06-09 | 西安欧思奇软件有限公司 | Intelligent household control method and device, computer equipment and storage medium |
| CN109538516A (en) * | 2019-01-26 | 2019-03-29 | 郑州城市职业学院 | A kind of intelligent fan |
| CN110821865A (en) * | 2019-12-20 | 2020-02-21 | 东莞市奇芳电气有限公司 | Fan with independent sound and light alarm system |
| CN213392751U (en) * | 2020-05-15 | 2021-06-08 | 深圳市信利康电子有限公司 | Voice interaction intelligent electric fan based on neural network chip and electric fan system |
| CN214533669U (en) * | 2021-03-25 | 2021-10-29 | 深圳市中科声科技有限公司 | Voice recognition wireless fan receiving device |
| KR20230126997A (en) * | 2022-02-24 | 2023-08-31 | 주식회사 페블스퀘어 | Module, method and system for voice recognition |
| CN115405567A (en) * | 2022-09-02 | 2022-11-29 | 硕祺电子散热技术(东莞)有限公司 | Series modulation equipment fan and control method thereof |
| CN116428690A (en) * | 2023-06-12 | 2023-07-14 | 广州豪特节能环保科技股份有限公司 | Voice control method and device for energy-saving air conditioning system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117307508A (en) | 2023-12-29 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| EP3314876B1 (en) | Technologies for conversational interfaces for system control | |
| CN107644642A (en) | Method for recognizing semantics, device, storage medium and electronic equipment | |
| KR101935585B1 (en) | Game command recognition method and game command recognition apparatus | |
| US11765234B2 (en) | Electronic device, server and recording medium supporting task execution using external device | |
| KR101465230B1 (en) | Method for device control using smart device and control system the same | |
| CN109543199A (en) | A kind of method and relevant apparatus of text translation | |
| US20190286480A1 (en) | Electronic device and server for processing data received from electronic device | |
| CN108735208B (en) | Electronic device for providing voice recognition service and method thereof | |
| CN112764352A (en) | Household environment adjusting method and device, server and storage medium | |
| US20240129567A1 (en) | Hub device, multi-device system including the hub device and plurality of devices, and operating method of the hub device and multi-device system | |
| CN108063701B (en) | Method and device for controlling intelligent equipment | |
| KR20150053447A (en) | Wireless extender for interworking smart device and employment method thereof | |
| EP3654170B1 (en) | Electronic apparatus and wifi connecting method thereof | |
| CN113519022A (en) | Electronic device and control method thereof | |
| CN117307508B (en) | Bluetooth-connected serial building block cooling fan system and control method thereof | |
| TWI689830B (en) | Method for controlling devices based on voice message and control terminal device | |
| US20220287110A1 (en) | Electronic device and method for connecting device thereof | |
| KR20150051865A (en) | Method for device control using smart device and control system the same | |
| US11735167B2 (en) | Electronic device and method for controlling the same, and storage medium | |
| CN114020909A (en) | Scene-based smart home control method, device, equipment and storage medium | |
| CN114299939A (en) | Intelligent device, voice control device of intelligent home and control method | |
| KR20230113347A (en) | System for Computing Network Independent Home Appliance Control Using Natural Language Processing and User Feedback | |
| CN111007731A (en) | User operation prediction method and device, electronic equipment and readable storage medium | |
| US20240071376A1 (en) | System and method for deep machine learning model using personal data in real time | |
| US20240036527A1 (en) | Electronic device and computer readable storage medium for control recommendation |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |