CN110018705B - Electrical appliance control system with intelligent body feeling and control method - Google Patents
Electrical appliance control system with intelligent body feeling and control method Download PDFInfo
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- CN110018705B CN110018705B CN201910411002.2A CN201910411002A CN110018705B CN 110018705 B CN110018705 B CN 110018705B CN 201910411002 A CN201910411002 A CN 201910411002A CN 110018705 B CN110018705 B CN 110018705B
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- 238000000034 method Methods 0.000 title claims abstract description 15
- 230000036760 body temperature Effects 0.000 claims abstract description 23
- 230000033001 locomotion Effects 0.000 claims description 57
- 238000004891 communication Methods 0.000 claims description 12
- 230000006698 induction Effects 0.000 claims description 7
- 230000033228 biological regulation Effects 0.000 claims 4
- 238000012545 processing Methods 0.000 abstract description 2
- 230000007547 defect Effects 0.000 description 3
- 238000012790 confirmation Methods 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 230000000737 periodic effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 125000004122 cyclic group Chemical group 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D27/00—Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00
- G05D27/02—Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00 characterised by the use of electric means
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/017—Gesture based interaction, e.g. based on a set of recognized hand gestures
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2203/00—Indexing scheme relating to G06F3/00 - G06F3/048
- G06F2203/01—Indexing scheme relating to G06F3/01
- G06F2203/012—Walk-in-place systems for allowing a user to walk in a virtual environment while constraining him to a given position in the physical environment
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Abstract
The invention discloses an electric appliance control system with intelligent body feeling and a control method, wherein the electric appliance control system comprises: the control module is used for receiving the sensing data sent by the human body temperature sensing module and the action data sent by the action recognition module, and controlling the adjustment of the running state of the electric appliance after the data processing. The invention effectively improves the diversity and convenience of electric appliance control, and is more flexible and comfortable to use.
Description
Technical Field
The invention relates to the technical field of electric appliance control systems, in particular to an electric appliance control system with intelligent body feeling and a control method.
Background
Electric products such as electric fans, air conditioners and the like are very widely used in daily life, traditional electric products can only carry out wind shift and on-off control through keys on an electric appliance body, and meanwhile, after setting one wind shift, the electric appliances can only carry out periodic circulation according to fixed rotating speed or according to a certain specific mode, and the electric appliances are poor in flexibility of adjustment and very inconvenient to use. In the current market, electric products for wind screen and on-off control through a remote controller are arranged, and although keys on an electric appliance body do not need to be operated at a short distance, the remote controller is easy to lose, the trouble and time-consuming defects are found, and the defects of poor adjustment flexibility due to periodic circulation after setting the wind screen are also overcome.
Therefore, how to design an electrical appliance control system and a control method which are convenient and intelligent to use is a technical problem to be solved in the industry.
Disclosure of Invention
In order to solve the defect of inconvenient use of the existing electrical appliance, the invention provides an electrical appliance control system with intelligent sense and a control method thereof.
The technical scheme adopted by the invention is that the design of the electrical appliance control system comprises the following steps: the device comprises a control module, a motion recognition module for recognizing the limb motion of a user, and a human body temperature sensing module for detecting the body surface temperature of the user and/or the direction of the user. The control module receives the sensing data sent by the human body temperature sensing module and the action data sent by the action recognition module, and controls the adjustment of the running state of the electric appliance after the data processing.
Preferably, the control module can set an action comparison table, set different actions according to different group operation habits, and control the actions, wherein the action comparison table is provided with a plurality of different effective action data, and each effective action data corresponds to one working instruction. And the control module judges whether the action data sent by the action recognition module is effective action data, if so, the control module obtains a corresponding working instruction from the driven comparison table and controls the electric appliance to run according to the working instruction.
Preferably, the mode of the control module for judging whether the motion data sent by the motion recognition module is valid motion data includes: when the limb movement corresponding to the movement data continuously exceeds the preset time, the movement data are matched with the effective movement data in the movement comparison table, and if the matching is successful, the effective movement data are obtained.
Preferably, when the control module receives the learning instruction, the action recognition module collects effective action data corresponding to the working instruction, and records the corresponding relation between the effective action data and the working instruction to form an action comparison table.
Preferably, the control module automatically generates a learning instruction when the electric appliance is powered on and started for the first time.
Preferably, the control module is connected with a key module, and the manual operation key module can input a learning instruction and/or a working instruction to the control module.
Preferably, the control module is connected with a communication module, the communication module is connected with a remote controller matched with the communication module in a wireless mode, and the manual operation remote controller can input learning instructions and/or working instructions to the control module.
Preferably, the action recognition module includes: the system comprises a sensing camera and a motion analysis module, wherein the sensing camera collects the limb motions of a user and sends images to the motion analysis module, and the motion analysis module recognizes the images and generates motion data.
Preferably, the control module may make the target temperature range setting. The control module starts the human body temperature sensing module to collect temperature data in an automatic mode, when the temperature data is lower than the minimum value of the target temperature range, the control module controls the electric appliance to execute the first adjusting instruction, and when the temperature data is higher than the maximum value of the target temperature range, the control module controls the electric appliance to execute the second adjusting instruction.
Preferably, the appliance has a motor for driving the airflow to blow out, the first adjustment command is to reduce the wind speed, and the second adjustment command is to increase the wind speed.
Preferably, the set temperature value and the deviation value are input to the control module, the maximum value of the target temperature range is the sum of the set temperature value and the deviation value, and the minimum value of the target temperature range is the difference of the set temperature value and the deviation value.
Preferably, after the control module starts the human body temperature sensing module, the temperature data acquired first is used as a set temperature value.
Preferably, the control module starts the human body temperature sensing module to identify azimuth data of the user in an automatic mode, and adjusts the working direction of the electric appliance according to the azimuth data.
Preferably, the control module enters an automatic mode when receiving a working instruction of automatic temperature control, and the working instruction of automatic temperature control is input through the action recognition module acquisition and/or manual input of the key module and/or manual input of the remote controller.
Preferably, the automatic mode is a sleep mode.
Preferably, the human body temperature sensing module includes: human body pyroelectric infrared sensing chip.
Preferably, the electric appliance is an electric fan, an electric heater or an air conditioner.
The invention also provides a motion recognition control method of the electrical appliance control system, which comprises the following steps:
step 1.1, the control module judges whether a learning instruction is received, if yes, the step 1.2 is executed, otherwise, the step 1.5 is executed;
step 1.2, collecting effective action data corresponding to the working instruction through an action recognition module, recording and forming an action comparison table, and executing the step 1.3;
step 1.3, a control module detects whether a working instruction is input by the action recognition module, the key module and the remote controller, and the step 1.4 is executed;
step 1.4, the control module controls the electric appliance to run according to the working instruction, and the step 1.5 is executed;
step 1.5, the control module judges whether a working comparison table exists, if yes, the step 1.3 is executed, otherwise, the step 1.6 is executed;
and step 1.6, the control module detects whether the key module and the communication module input working instructions, and the step 1.4 is executed.
Preferably, after the action comparison table is formed in step 1.2, a completion instruction needs to be input to the control module to store the action comparison table.
The invention also provides a temperature control method of the electrical appliance control system, which comprises the following steps:
step 2.1, the control module starts the human body temperature sensing module to collect temperature data in an automatic mode, and the step 2.2 is executed;
step 2.2, the control module judges whether the temperature data is in a target temperature range, if the temperature data is in the target temperature range, the step 2.3 is executed, if the temperature data is smaller than the minimum value of the target temperature range, the step 2.4 is executed, and if the temperature data is larger than the maximum value of the target temperature range, the step 2.5 is executed;
step 2.3, the electric appliance keeps running in the original state, and the step 2.1 is returned;
step 2.4, the electric appliance executes a first adjusting instruction and returns to the step 2.1;
and 2.5, the electric appliance executes a second adjusting instruction and returns to the step 2.1.
Preferably, the appliance has a motor for driving the airflow to blow out, the first adjustment instruction in step 2.4 is to decrease the wind speed, and the second adjustment instruction in step 2.5 is to increase the wind speed.
Compared with the prior art, the invention has the following beneficial effects:
1. the action recognition module is added to realize the running state of the non-physical control electric appliance, so that the trouble of finding a remote controller and getting up is reduced;
2. the human body temperature sensing module is added to automatically adjust the running state of the electric appliance, so that the use requirement of a user is met, and the comfort level of user experience is improved.
Drawings
The invention is described in detail below with reference to examples and figures, wherein:
FIG. 1 is a schematic perspective view of an electric fan as an electric appliance in the invention;
FIG. 2 is a schematic circuit diagram of an appliance control system of the present invention;
FIG. 3 is a flow chart of the motion recognition control method of the present invention;
FIG. 4 is a schematic flow chart of the temperature control method in the invention.
Detailed Description
The invention provides an electric appliance control system with intelligent body feeling, and an electric appliance can be an electric fan, an electric heater, an air conditioner and the like.
As shown in fig. 1, in the preferred embodiment, the electric appliance is an electric fan, and the electric fan is provided with a base 1, a support column 2 arranged on the base 1, a fan blade 3 arranged on the top of the support column, and a motor for driving the fan blade 3 to rotate so as to blow out air flow.
As shown in fig. 2, the appliance control system includes: the device comprises a control module, a motion recognition module and a human body temperature sensing module, wherein the motion recognition module is used for recognizing the limb motion of a user, the human body temperature sensing module is used for detecting the body surface temperature of the user and/or the direction of the user, and the motion recognition module and the human body temperature sensing module are both arranged on an electric appliance and face towards the user. The control module receives the sensing data sent by the human body temperature sensing module and the action data sent by the action recognition module, processes the data, and then controls and controls the operations such as the rotating speed of the motor, the rotating angle of the steering motor, the on-off operation and the like.
Wherein, the action recognition module includes: the system comprises a sensing camera and a motion analysis module, wherein the sensing camera collects the limb motions of a user and sends images to the motion analysis module, and the motion analysis module recognizes the images and generates motion data. Of course, in practical application, the action recognition module may also adopt a gesture recognition module, where the gesture recognition module includes a gesture recognition chip and a sensor connected to the gesture recognition chip, and the model of the gesture recognition chip is preferably ADD01S and ADD01T.
The human body temperature sensing module includes: the model of the human body pyroelectric infrared induction chip is preferably AS006-SD1, the furthest induction distance can reach twenty meters, and a high-precision algorithm unit is built in the AS006-SD1 type chip, so that the human body pyroelectric infrared induction chip can be automatically adjusted and adapted to the current environment, and human body signals and interference signals can be effectively distinguished.
The limb control is as follows.
The control module can set an action comparison table, different actions are set according to different group operation habits to control, the action comparison table is provided with a plurality of different effective action data, each effective action data corresponds to a working instruction, the effective action data are action data such as limb up, down, left, right and the like, the working instructions are such as increasing wind gear, reducing wind gear, turning off an electric appliance, turning on the electric appliance and the like, and when a limb of a person is left in the action comparison table, the wind gear is increased, the wind gear is reduced, the electric appliance is turned off downwards, and the electric appliance is turned on upwards. The control module judges whether the motion data sent by the motion recognition module is effective motion data, if yes, the control module obtains a corresponding working instruction from the driven comparison table and controls the electric appliance to operate according to the working instruction, namely, when the motion recognition module sends the effective motion data of the limbs to the left, the control module controls the electric appliance to increase the wind shield. The mode of judging whether the motion data sent by the motion recognition module is effective motion data by the control module comprises the following steps: the motion data is matched with the effective motion data in the motion comparison table, if the matching is successful, the motion data is the effective motion data, for example, if the motion comparison table only has four effective motion data of limbs up, down, left and right, the user can only successfully match with the effective motion data by making one of the four limb motions.
The action comparison table can be set by a user, when the control module receives a learning instruction, the control module collects effective action data corresponding to the working instruction through the action recognition module, and records the corresponding relation between the effective action data and the working instruction to form the action comparison table. The control module is connected with a key module, and the manual operation key module can also input a learning instruction and a working instruction to the control module. The control module is also connected with a communication module, the communication module is connected with a remote controller matched with the communication module in a wireless way, and the manual operation remote controller can also input learning instructions and working instructions to the control module.
When the learning control mode is started, the modes of starting the electric appliance, increasing the wind gear, reducing the wind gear, switching the modes, switching the electric appliance and the like are used for carrying out cyclic collection, the collection is controlled through time, the next action learning can be switched through a key, after one action learning is completed, the confirmation key is pressed for confirmation, and the key is pressed for the next action learning. After the action comparison table is successfully set, effective control is carried out according to the action comparison table, when a user wants to change effective action data, a learning instruction is input to the control module to re-learn the record, so that real object-free remote control is realized, trouble of getting up and finding a remote controller by the user is reduced, and the intelligence and convenience of electric appliance use are improved. In order to prevent the electrical appliance from detecting the action to perform misoperation, the possibility of misoperation can be reduced through the length of detection time, namely, corresponding operation is performed when the action is detected to last for more than 2S, and the operation is similar to touch-proof operation detection of a remote controller.
As shown in fig. 3, the motion recognition control method of the electrical appliance control system specifically includes the following steps:
step 1.1, the control module judges whether a learning instruction is received, if yes, the step 1.2 is executed, otherwise, the step 1.5 is executed;
step 1.2, collecting effective action data corresponding to the working instruction through an action recognition module, recording and forming an action comparison table, and pressing a key module to input a completion instruction to a control module so as to store the action comparison table, and executing step 1.3;
step 1.3, a control module detects whether a working instruction is input by the action recognition module, the key module and the remote controller, and the step 1.4 is executed;
step 1.4, the control module controls the electric appliance to run according to the working instruction, and the step 1.5 is executed;
step 1.5, the control module judges whether a working comparison table exists, if yes, the step 1.3 is executed, otherwise, the step 1.6 is executed;
and step 1.6, the control module detects whether the key module and the communication module input working instructions, and the step 1.4 is executed.
The temperature control is as follows.
The control module can set a target temperature range, a set temperature value and a deviation value are input to the control module, the maximum value of the target temperature range is the sum of the set temperature value and the deviation value, and the minimum value of the target temperature range is the difference of the set temperature value and the deviation value. The electrical appliance is provided with an automatic mode, in a preferred embodiment, the automatic mode is a sleep mode, the control module starts the human body temperature sensing module to collect temperature data in the sleep mode, when the temperature data is lower than the minimum value of the target temperature range, the control module controls the electrical appliance to execute a first adjusting instruction, the first adjusting instruction is used for reducing the wind speed, and when the temperature data is higher than the maximum value of the target temperature range, the control module controls the electrical appliance to execute a second adjusting instruction, and the second adjusting instruction is used for improving the wind speed.
In order to make the use of the electric appliance more convenient and intelligent, after the control module starts the human body temperature sensing module, the temperature data acquired first is used as a set temperature value, the deviation value can be manually input by people, or a default deviation value can be preset in the control module, and if the control module does not receive the deviation value manually input by people, the default deviation value is taken. Taking the default deviation value of 2 ℃ as an example, when the temperature is increased to be higher than the set temperature value by 2 ℃, the motor is slowly increased, so that the wind gear is increased; when the temperature is reduced to be lower than the set temperature value by 2 ℃, the motor slowly reduces the speed, and the wind gear is reduced. The control module enters a sleep mode when receiving a working instruction of automatic temperature control, and the working instruction of automatic temperature control is input through the acquisition of the action recognition module or the manual input of the key module or the manual input of the remote controller. The control module can also start the human body temperature sensing module to identify azimuth data of the user under the sleep mode, and adjust the air outlet direction of the electric appliance according to the azimuth data, so that the human body can be automatically tracked, and the inconvenience of manually rotating the electric fan is reduced.
As shown in fig. 4, the temperature control method of the electrical appliance control system specifically includes the following steps:
step 2.1, the control module starts the human body temperature sensing module to collect temperature data in an automatic mode, and the step 2.2 is executed;
step 2.2, the control module judges whether the temperature data is in a target temperature range, if the temperature data is in the target temperature range, the step 2.3 is executed, if the temperature data is smaller than the minimum value of the target temperature range, the step 2.4 is executed, and if the temperature data is larger than the maximum value of the target temperature range, the step 2.5 is executed;
step 2.3, the electric appliance keeps running in the original state, and the step 2.1 is returned;
step 2.4, the electric appliance reduces the wind speed and returns to the step 2.1;
and 2.5, the electric appliance increases the wind speed and returns to the step 2.1.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the invention.
Claims (8)
1. An appliance control system, comprising: the system comprises a control module, a motion recognition module for recognizing the limb motion of a user, and a human body temperature sensing module for detecting the body surface temperature of the user and/or the direction of the user; the action recognition module includes: the system comprises an induction camera and an action analysis module, wherein the induction camera collects limb actions of a user and sends images to the action analysis module, the action analysis module recognizes the images and generates action data, and the control module receives the induction data sent by the human body temperature induction module and the action data sent by the action recognition module, processes the data and then controls the adjustment of the running state of an electrical appliance;
the control module enters an automatic mode when receiving a working instruction of temperature automatic control, the working instruction of temperature automatic control is acquired and input through the action recognition module, the control module starts the human body temperature sensing module to acquire temperature data in the automatic mode, when the temperature data is lower than the minimum value of a target temperature range, the control module controls the electric appliance to execute a first regulation instruction, the first regulation instruction is used for reducing the wind speed, and when the temperature data is higher than the maximum value of the target temperature range, the control module controls the electric appliance to execute a second regulation instruction, and the second regulation instruction is used for improving the wind speed;
the control module starts the human body temperature sensing module, takes the temperature data acquired first as the set temperature value, and takes the default deviation value if the deviation value input by human hand is not received by the control module.
2. The appliance control system of claim 1 wherein the control module is configured to perform an action comparison table, wherein the action comparison table has a plurality of different valid action data, each valid action data corresponding to a work instruction, and wherein the control module is configured to control different actions according to different group operation habits; and the control module judges whether the action data sent by the action recognition module is effective action data, if so, the control module acquires a corresponding working instruction from the action comparison table and controls the electric appliance to run according to the working instruction.
3. The appliance control system of claim 2 wherein the means for the control module to determine whether the motion data sent by the motion recognition module is valid motion data comprises: when the limb movement corresponding to the movement data continuously exceeds the preset time, the movement data are matched with the effective movement data in the movement comparison table, and if the matching is successful, the effective movement data are obtained.
4. The appliance control system of claim 2 wherein the control module, upon receiving a learn instruction, collects valid action data corresponding to the work instruction via the action recognition module and records a correspondence between the valid action data and the work instruction to form the action comparison table.
5. The appliance control system of claim 4 wherein the control module automatically generates the learn instruction when the appliance is first powered on; the control module is also connected with a key module, and the learning instruction and/or the working instruction can be input to the control module by manually operating the key module; the control module is also connected with a communication module, the communication module is in wireless connection with a remote controller matched with the communication module, and the remote controller can be manually operated to input the learning instruction and/or the working instruction to the control module.
6. The appliance control system of claim 1 wherein the control module activates the body temperature sensing module in an automatic mode to identify azimuth data of a user and adjusts a working direction of the appliance based on the azimuth data.
7. The appliance control system of claim 1, wherein the appliance is an electric fan, an electric heater, or an air conditioner.
8. The motion recognition control method of an electric appliance control system as claimed in claim 4 or 5, comprising the steps of:
step 1.1, the control module judges whether a learning instruction is received, if yes, the step 1.2 is executed, otherwise, the step 1.5 is executed;
step 1.2, collecting effective action data corresponding to the working instruction through an action recognition module, recording and forming an action comparison table, and executing the step 1.3;
step 3, the control module detects whether the action recognition module, the key module and the remote controller input working instructions, and the step 1.4 is executed;
step 1.4, the control module controls the electric appliance to run according to the working instruction, and the step 1.5 is executed;
step 1.5, the control module judges whether a working comparison table exists, if yes, the step 1.3 is executed, otherwise, the step 1.6 is executed;
and step 1.6, the control module detects whether the key module and the communication module input working instructions, and the step 1.4 is executed.
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