CN115042907B - Power control method and system of electric power-assisted vehicle and electric power-assisted vehicle - Google Patents
Power control method and system of electric power-assisted vehicle and electric power-assisted vehicle Download PDFInfo
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B62—LAND VEHICLES FOR TRAVELLING OTHERWISE THAN ON RAILS
- B62M—RIDER PROPULSION OF WHEELED VEHICLES OR SLEDGES; POWERED PROPULSION OF SLEDGES OR SINGLE-TRACK CYCLES; TRANSMISSIONS SPECIALLY ADAPTED FOR SUCH VEHICLES
- B62M6/00—Rider propulsion of wheeled vehicles with additional source of power, e.g. combustion engine or electric motor
- B62M6/40—Rider propelled cycles with auxiliary electric motor
- B62M6/45—Control or actuating devices therefor
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B62—LAND VEHICLES FOR TRAVELLING OTHERWISE THAN ON RAILS
- B62J—CYCLE SADDLES OR SEATS; AUXILIARY DEVICES OR ACCESSORIES SPECIALLY ADAPTED TO CYCLES AND NOT OTHERWISE PROVIDED FOR, e.g. ARTICLE CARRIERS OR CYCLE PROTECTORS
- B62J45/00—Electrical equipment arrangements specially adapted for use as accessories on cycles, not otherwise provided for
- B62J45/40—Sensor arrangements; Mounting thereof
- B62J45/41—Sensor arrangements; Mounting thereof characterised by the type of sensor
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B62—LAND VEHICLES FOR TRAVELLING OTHERWISE THAN ON RAILS
- B62J—CYCLE SADDLES OR SEATS; AUXILIARY DEVICES OR ACCESSORIES SPECIALLY ADAPTED TO CYCLES AND NOT OTHERWISE PROVIDED FOR, e.g. ARTICLE CARRIERS OR CYCLE PROTECTORS
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- B62M—RIDER PROPULSION OF WHEELED VEHICLES OR SLEDGES; POWERED PROPULSION OF SLEDGES OR SINGLE-TRACK CYCLES; TRANSMISSIONS SPECIALLY ADAPTED FOR SUCH VEHICLES
- B62M6/00—Rider propulsion of wheeled vehicles with additional source of power, e.g. combustion engine or electric motor
- B62M6/40—Rider propelled cycles with auxiliary electric motor
- B62M6/45—Control or actuating devices therefor
- B62M6/50—Control or actuating devices therefor characterised by detectors or sensors, or arrangement thereof
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
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Abstract
The application relates to the field of electric power assisted vehicles, in particular to a power control method and system of an electric power assisted vehicle and the electric power assisted vehicle, wherein the power control method comprises the steps of acquiring image information of a user of the electric power assisted vehicle; based on the image information, analyzing and generating expression state information of a user; based on the expression state information, the power assisting degree of the electric power assisting vehicle is adjusted. The application can adjust the power of the electric power-assisted vehicle based on the expression state information, so that the electric power-assisted vehicle can automatically adjust the electric power-assisted vehicle according to the state of a user, and the electric power-assisted vehicle does not need to be adjusted by the user, thereby realizing more noninductive comfortable riding experience and safer riding effect.
Description
Technical Field
The application relates to the field of electric power assisted vehicles, in particular to a power control method and system of an electric power assisted vehicle and electronic equipment.
Background
In transportation vehicles, bicycles are the most easily selected means of movement. In recent years, there has been development of adding additional power to bicycles to assist users, such as electric vehicles. The additional power assistance can reduce the physical consumption of the user, and brings better experience for riding.
However, during use, the user may face the problem of not getting exercise while riding too easily due to excessive power assistance; or the problem that the riding is too hard due to insufficient power assistance in some road sections is faced, and the problem needs to be further improved.
Disclosure of Invention
Aiming at the problems that in the prior art, a user can feel too relaxed when riding due to overlarge power assistance and cannot exercise; or the problem that power assistance is insufficient in some road sections to cause riding to be in force is solved, the application provides a power control method and a power control system for an electric power assisting vehicle and the electric power assisting vehicle.
In a first aspect, the present application provides a power control method for an electric power-assisted vehicle, which adopts the following technical scheme:
A power control method of an electric power-assisted vehicle comprises the following steps:
acquiring image information of a user of the electric bicycle;
Based on the image information, acquiring expression state information of a user, wherein the expression state information comprises an expression labor-saving state, an expression moderate state and an expression labor-saving state;
Based on the expression state information, adjusting the power assisting degree of the electric power-assisted vehicle; when the expression state information is in an expression labor-saving state, the power assisting of the electric power-assisted vehicle is reduced; when the expression state information is in a moderate expression state, the power assisting of the electric power-assisted vehicle is maintained unchanged; when the expression state information is in a state of expression and effort, the power assisting of the electric power assisting vehicle is increased.
By adopting the technical scheme, the electric power-assisted vehicle can automatically acquire the image information of a user, acquire the expression state information of the user according to the image information, and adjust the power assistance of the electric power-assisted vehicle based on the expression state information, when the user processes the expression labor-saving state, the system can reduce the electric power assistance to improve the cruising ability of the electric power-assisted vehicle, and when the user is in the expression labor-saving state, the electric power assistance can be increased to assist the user to ride, so that the user can keep in a moderate riding state; the electric power-assisted vehicle can automatically adjust the electric power-assisted vehicle according to the state of a user, and the electric power-assisted vehicle does not need to be adjusted by the user, so that more proper auxiliary power and safer riding effect are brought to the user.
Optionally, the process of obtaining the expression state information of the user includes the following steps:
Carrying out facial expression recognition on the image information to obtain corresponding facial expression information, wherein the facial expression information comprises loose expression, no expression, smile expression, pleasure expression, awkward expression and fierce expression;
Acquiring expression state information of a user based on the facial expression information, wherein the expression relaxation and the facial expression are classified into expression labor-saving states, and the expression smile and the expression pleasure are classified into expression moderate states; the expression discomfort and expression fierce are classified into expression laborious states.
Through adopting above-mentioned technical scheme, obtain user's facial expression information through facial expression discernment to classify the expression state through facial expression information, thereby know that the user is in expression laborsaving state, expression moderate state or expression laborious state.
Optionally, the method further comprises:
acquiring real-time heart rate information of a user of the electric bicycle;
Acquiring an aerobic exercise heart rate range of a user, wherein the aerobic exercise heart rate range is a heart rate range of the user when performing aerobic exercise;
Judging whether the real-time heart rate information belongs to the aerobic exercise heart rate range, wherein when the real-time heart rate information is smaller than the minimum value of the aerobic exercise heart rate range, the power assisting degree of the electric power assisting vehicle is reduced, when the real-time heart rate information belongs to the aerobic exercise heart rate range, the power assisting degree of the electric power assisting vehicle is not regulated, and when the real-time heart rate information is larger than the maximum value of the aerobic exercise heart rate range, the power assisting degree of the electric power assisting vehicle is increased.
By adopting the technical scheme, a user rides in a proper state by reading the expression state information, and then by acquiring the real-time heart rate information and the aerobic exercise heart rate range of the user, whether the real-time heart rate information of the user is in the aerobic exercise heart rate range or not can be judged, and if the real-time heart rate exceeds the aerobic exercise heart rate range, the user is in an anaerobic exercise state or the exercise intensity cannot reach the aerobic exercise state; at the moment, if the real-time heart rate information is smaller than the minimum value of the aerobic exercise heart rate range, the power assisting of the electric power-assisted vehicle can be reduced; if the real-time heart rate information is larger than the maximum value of the aerobic exercise heart rate range, the power assisting of the electric power-assisted vehicle can be increased; therefore, the real-time heart rate information of the user is kept within the aerobic exercise heart rate range as far as possible, the user can exercise to a certain extent, and adverse effects of anaerobic exercise on the body of the user are avoided.
Optionally, in the process of acquiring the aerobic exercise heart rate range of the user, the method includes:
acquiring age information and sex information of a user;
An aerobic exercise heart rate range of the user is determined based on the age information and the gender information.
By adopting the technical scheme, the aerobic exercise heart rate range of the user is determined by acquiring the age information and the sex information of the user, so that whether the real-time heart rate information of the user belongs to the aerobic exercise heart rate range of the user is monitored.
Optionally, before the step of acquiring the aerobic exercise heart rate range of the user, the method further comprises:
calling preset exercise heart rate threshold information, wherein the exercise heart rate threshold information comprises exercise heart rate maximum threshold information and exercise heart rate minimum threshold information;
judging whether the real-time heart rate information meets the condition that the real-time heart rate information is not smaller than the maximum threshold value information of the exercise heart rate or not larger than the minimum threshold value information of the exercise heart rate; if yes, sending out an alarm signal.
By adopting the technical scheme, the real-time heart rate information is firstly judged to be positioned between the minimum exercise heart rate threshold information and the maximum exercise heart rate threshold information, and the aerobic exercise heart rate range of the user is obtained when the real-time heart rate information belongs to the minimum exercise heart rate threshold information and the maximum exercise heart rate threshold information; otherwise, sending out an alarm signal so as to remind the user and surrounding peers, so that the user can take a rest and condition in time, and the safety of the use process is improved.
Optionally, after the sending out the warning signal, the method further includes:
generating warning information, wherein the warning information comprises current real-time heart rate information of a user;
Positioning the electric power-assisted vehicle in real time to acquire corresponding positioning information;
Calling preset emergency contact information;
And sending the warning information and the positioning information to the emergency contact person.
By adopting the technical scheme, when the real-time heart rate information of the user is abnormal, after the warning signal is sent, the warning information and the positioning information are also generated, and the warning information and the positioning information are automatically sent to the preset emergency contact person, so that the emergency contact person can pay attention to the use state of the user at the first time, emergency measures are taken for rescue and treatment, and the use safety is improved.
In a second aspect, the application provides a power control system of an electric bicycle, which adopts the following technical scheme:
A power control system of an electric power assisted vehicle, comprising:
the image information acquisition module is used for acquiring image information of a user;
the expression state information acquisition module is used for acquiring expression state information of a user according to the image information;
And the power-assisted degree adjusting module is used for adjusting the power assistance of the electric power-assisted vehicle according to the expression state information.
Through adopting above-mentioned technical scheme, the helping hand that can automatically regulated electric bicycle for the user need not manually adjust, brings more suitable auxiliary power and safer effect of riding for the user.
In a third aspect, the application provides an electric bicycle, which adopts the following technical scheme:
The electric power assisted bicycle comprises a camera, a motor driver, a motor, a heart rate sensor, a memory and a processor, wherein the camera, the motor driver and the heart rate sensor are all electrically connected with the processor, and the motor is connected with the motor driver; the camera is used for acquiring image information of a user, the motor driver and the motor are used for providing assistance, the heart rate sensor is used for acquiring heart rate information of the user, a computer readable program which can be executed by the processor is stored in the memory, and the processor enables the electric power-assisted vehicle to realize the steps in any one of the power control methods when executing the computer readable program.
Through adopting above-mentioned technical scheme, the helping hand that can automatically regulated electric bicycle for the user need not manually adjust, brings more suitable auxiliary power and safer effect of riding for the user.
In summary, the present application includes at least one of the following beneficial technical effects:
1. According to the application, the image information of the user is acquired, the expression state information of the user is acquired based on the image information, and the expression state of the user is judged, so that whether the user is in a labor-saving state or a labor-saving state is judged, and the power assisting degree of the electric power assisting vehicle is adjusted. When the user is in a labor-saving state, the power assisting is reduced, and the endurance time of the electric power assisting vehicle is prolonged; when the user is in a laborious state, the power assisting is increased to assist the user in riding, the manual adjustment of the user is not needed in the power assisting adjustment process, and more proper auxiliary power and safer riding effect are brought to the user;
2. according to the application, the real-time heart rate information of the user is obtained, and the assistance of the electric power-assisted vehicle is further regulated based on the real-time heart rate information and the aerobic exercise heart rate range of the user, so that the user can ride in an aerobic exercise state as far as possible, and adverse effects of anaerobic exercise on the body of the user are avoided while the user can exercise;
3. According to the application, whether the real-time heart rate information of the user belongs to the normal heart rate range of the user is judged, the warning signal is sent when the real-time heart rate information exceeds the normal heart rate range, the early warning information and the positioning information are generated, and the early warning information and the positioning information are sent to the emergency contact person, so that the user can be timely rescued and processed when the heart rate is abnormal.
Drawings
Fig. 1 is a schematic diagram of an application scenario of a power control method of an electric bicycle according to an embodiment of the present application;
FIG. 2 is a flow chart of a method of controlling power of an electric bicycle in accordance with an embodiment of the present application;
FIG. 3 is a flow chart of a method of controlling power of an electric bicycle in accordance with another embodiment of the present application;
FIG. 4 is a flow chart of a method of controlling power of an electric bicycle in accordance with yet another embodiment of the present application;
FIG. 5 is a schematic block diagram of a power control system of an electric bicycle according to an embodiment of the present application;
Fig. 6 is a schematic structural diagram of an electric bicycle in an embodiment of the present application.
Reference numerals illustrate: 100. a camera; 110. a motor driver; 120. a motor; 130. a heart rate sensor; 140. a memory; 150. a processor; 500. an image information acquisition module; 510. expression state information acquisition module; 520. and the power-assisted degree adjusting module.
Detailed Description
The application is described in further detail below with reference to fig. 1-6.
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings 1 to 6 and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
The control method of the electric power assisted vehicle provided by the embodiment of the application is implemented by the electric power assisted vehicle, and referring to fig. 1, the electric power assisted vehicle comprises a camera 100, a motor driver 110, a motor 120 and a heart rate sensor 130. The camera 100 is used for capturing image information of a user, the heart rate sensor 130 is used for detecting the heart rate of the user in real time, and the motor driver 110 can drive the motor 120 to generate power assistance to assist the user in riding.
In this embodiment, the camera 100 may be mounted at a handle of the bicycle so as to capture facial information of the user, and the heart rate sensor 130 may be disposed at the handle of the bicycle to contact with the palm of the user, thereby measuring real-time heart rate information of the user. It should be understood that the mounting positions of the camera 100 and the heart rate sensor 130 are not specific limitations of the present application.
Based on the above principle, it should be noted that the method for controlling power of an electric power-assisted vehicle according to the present application is described from the viewpoint of the processor 150, and the method for controlling power may be implemented as a computer program through programming so as to be executed on an intelligent device, which includes, but is not limited to, an electric power-assisted vehicle, a computer, an intelligent terminal, and the like.
The embodiment of the application discloses a power control method of an electric power-assisted vehicle. Referring to fig. 2, comprising:
S200, acquiring image information of a user of the electric bicycle.
The electric power assisting vehicle user refers to a user of the electric power assisting vehicle who is riding the electric power assisting vehicle and is photographed by the camera 100 of the electric power assisting vehicle; the image information mainly includes a face image of the user.
Specifically, in the present embodiment, the camera 100 is mounted on a handle bar of the electric bicycle, and photographs a range above a seat of the electric bicycle to obtain a facial image. When a plurality of face images are captured, one face image with the largest proportion of all face images to the image information is selected as the face image of the user, or one face image with all face images nearest to the camera 100 is selected as the face image of the user.
When the user starts the electric bicycle to start riding, the camera 100 is kept in a start-up state, so as to shoot the user in real time.
S210, based on the image information, obtaining expression state information of a user, wherein the expression state information comprises an expression labor-saving state, an expression moderate state and an expression labor-saving state.
The expression state information is classified into an expression labor-saving state, an expression moderate state and an expression labor-saving state, so that the assistance degree of the electric power assisting vehicle can be adjusted according to different expression state information.
Specifically, facial expression recognition is carried out on the image information, and corresponding facial expression information is obtained; in this embodiment, the facial expression information includes relaxation of expression, no expression, smile of expression, pleasure of expression, awkward expression, and fierce expression. The facial expression information is used for acquiring the expression state information of the user, and in the embodiment, the facial expression relaxation and the facial expression are classified into the expression labor-saving state, and the facial expression smile and the facial expression pleasure are classified into the expression moderate state; the expression discomfort and expression fierce are classified into expression laborious states. It should be noted that, in other embodiments, the facial expression information may also include other expression states, and is not limited to the expression states given in this embodiment.
Facial expression recognition means that expression features are extracted from facial images of a user, and the expression features are compared with a preset expression feature data set, so that facial expression information of the user is obtained; facial expression recognition mainly extracts different areas among various expressions, mainly selects three areas of the mouth, the eyebrows and the eyes, calculates relevant slope information among key points in the three areas, and extracts expression characteristics based on deformation according to the relevant slope information; and tracking key points in the three areas, extracting corresponding displacement information, extracting distance information between specific feature points of the face image, taking the difference between the distance information and the distance between the specific feature points in the calm picture to obtain distance change information between the specific feature points, and extracting expression features according to the distance change information.
For example, when a user wrinkles eyebrows, the system acquires displacement information corresponding to key points corresponding to eyebrow areas, extracts distance information between eyes of a face image, and differences the distance between the eyes in a calm picture to obtain distance change information, extracts expression features according to the distance change information, compares the extracted expression features with a preset expression feature data set, obtains the expression as expression discomfort after judgment, and classifies the expression as expression laborious state.
S220, adjusting the power assisting degree of the electric power-assisted vehicle based on the expression state information.
The degree of assistance of the electric power assisted vehicle refers to the degree of driving force generated by the motor 120 of the electric power assisted vehicle, and the treatment of the electric power assisted vehicle can be used for assisting the riding of the user so as to save the physical effort of the user.
Specifically, when the expression state information is identified as the expression labor-saving state, the driving force of the motor 120 is reduced to reduce the consumption of the electric quantity of the electric power assisted vehicle, thereby improving the cruising ability of the electric power assisted vehicle; when the expression state information is identified as the expression moderate state, the power assisting of the electric power assisting vehicle is maintained unchanged; when expression state information is identified as expression laborious state, the driving force of the motor 120 is increased to provide bigger auxiliary power for a user to assist the user in riding, so that the riding difficulty of the user is reduced, the power-assisted adjustment of the electric power-assisted vehicle is performed based on the expression state information, the user can be kept in a moderate riding state, the manual adjustment of the user is not needed in the adjustment process, and the use experience is good.
The implementation principle of the embodiment of the application is as follows: through gathering user's image information, analysis generates user's expression state information, based on user's expression state automatically regulated electric bicycle helping hand's size, whole regulation helping hand's process does not need the user to carry out manual regulation, realizes more noninductive comfortable riding experience and safer effect of riding.
In other embodiments, the degree of assistance of the electric vehicle may be further adjusted in the following two cases.
Under the condition 1, when the power assisting degree of the electric power assisting vehicle is adjusted according to the expression state information of the user, the power assisting degree of the electric power assisting vehicle can be adapted to the user, and after the user is in a state with moderate expression, the power assisting degree of the electric power assisting vehicle can be further adjusted, so that the user can obtain aerobic exercise under a proper riding state as far as possible.
And 2, when the power assisting degree of the electric power assisted vehicle is regulated according to the expression state information of the user, the power assisting degree reaches the maximum power assisting degree threshold or the minimum power assisting degree threshold, and the expression state information of the user is still in the expression labor-saving state or the expression labor-saving state, the expression state of the user can be influenced by other factors, and the power assisting degree of the electric power assisted vehicle needs to be further regulated.
Referring to fig. 3, the method further comprises:
S300, acquiring real-time heart rate information of a user of the electric bicycle.
The real-time heart rate information refers to the current heart rate information of the user acquired by the heart rate sensor 130 in real time.
Specifically, when the user starts the electric bicycle, the heart rate sensor 130 is started along with the electric bicycle, the palm of the user can be contacted with the heart rate sensor 130 in the riding process, and the heart rate sensor 130 can collect current heart rate information of the user in real time, so that the heart rate state of the user is monitored.
S310, acquiring a heart rate range of aerobic exercise of a user;
The heart rate range of the aerobic exercise of the user refers to the heart rate range when the user normally performs the aerobic exercise, the user is considered to be performing the aerobic exercise when the heart rate of the user is in the range, and the user is considered to be performing the anaerobic exercise or the exercise intensity is not up to the aerobic exercise when the heart rate of the user is out of the range.
Specifically, in the present embodiment, acquiring the heart rate range of the aerobic exercise of the user includes: acquiring age information and sex information of a user; an aerobic exercise heart rate range of the user is determined based on the age information and the gender information.
The way of obtaining the age information and the identity information of the user can be as follows:
the first scheme is that identity information of a user is obtained based on face recognition of image information; the age information and the sex information of the user are retrieved based on the identity information.
The identity information of the user can be stored in a cloud database or a database of the electric bicycle in advance, the identification result is compared with the face image in the database through face identification, and the identity information corresponding to the user is found out from the database; the user can input the identity information into the database in advance through software and the like, the identity information comprises age, gender, face images and the like of the user, when the user rides the electric bicycle, the camera 100 acquires the image information and performs face recognition to compare with the face images in the database, so that the identity information is acquired, and then the age and the gender information of the user are acquired according to the identity information.
The second scheme is based on the face recognition of the image information; and generating age information and sex information of the user based on the result analysis of the face recognition. This scheme does not require extraction of data from the database, but directly analyzes approximate age information and sex information through face recognition.
In general, the optimal heart rate range for aerobic exercise is related to age, gender, resting heart rate, etc. There are various formulas for calculating the heart rate range of aerobic exercise. In the embodiment of the application, based on age information and gender information, a specific calculation mode for determining the heart rate range of aerobic exercise of a user is that a calculation is performed by adopting a maximum heart rate of men=205-age and a maximum heart rate of women=220-age, wherein the optimal heart rate range during exercise is 60% -80% of the maximum heart rate.
S320, further adjusting the power assisting degree of the electric power assisting vehicle based on the aerobic exercise heart rate range and the real-time heart rate information.
Specifically, when the expression state information is in a moderate expression state and the real-time heart rate information is in the heart rate range, the user is in a proper riding difficulty and in an aerobic exercise state; the power assistance of the electric power assisted vehicle can not be changed at this time. When the expression state information is in a moderate expression state and the real-time heart rate exceeds the heart rate range, the user is in an anaerobic exercise state or the exercise intensity can not reach aerobic exercise; at the moment, if the heart rate is smaller than the minimum value of the heart rate range, the power assisting of the electric power-assisted vehicle can be reduced; if the heart rate is greater than the maximum value of the heart rate range, the power assisting of the electric power assisting vehicle can be increased, so that a user can keep in a riding state of aerobic exercise as much as possible, and a certain exercise is obtained.
Further, referring to fig. 4, before acquiring the aerobic exercise heart rate range of the user, the method further includes:
s400, calling preset exercise heart rate threshold information.
The exercise heart rate threshold information includes exercise heart rate minimum threshold information and exercise heart rate maximum threshold information.
Specifically, the exercise heart rate minimum threshold information and the exercise heart rate maximum threshold information may be determined according to a normal heart rate range of a user's history riding. And after each riding exercise is finished, if the exercise heart rate in the riding process is determined to be in a normal range interval, and the user does not feel abnormal, each exercise heart rate collected in the riding process and an initial exercise heart rate model can be subjected to personalized fitting, so that the curve of the exercise heart rate changing along with time is more and more close to the normal range of the exercise heart rate of the user, and the function of personalized judgment of the heart function state of the user can be achieved on the basis of improving the personalized requirements of the user and the accuracy of monitoring the exercise heart rate of the user.
S410, judging whether the real-time heart rate threshold information meets the condition that the real-time heart rate threshold information is not smaller than the maximum threshold information or not larger than the minimum threshold information of the exercise heart rate; if yes, sending out an alarm signal.
Specifically, after the real-time heart rate information of the user is collected, the real-time heart rate information is compared with the exercise heart rate threshold value information, and when the real-time heart rate information is not smaller than the exercise heart rate maximum threshold value information or not larger than the exercise heart rate minimum threshold value information, a warning signal can be sent out; the warning signal can be played through an audio playing component of the electric power-assisted vehicle so as to remind a user; the warning device can also carry out buzzing prompt through a buzzer and the like or carry out vibration prompt through a vibration element on the vehicle body, and the warning method of the warning signal is not limited.
S420, generating warning information, wherein the warning information comprises current real-time heart rate information of a user.
Specifically, the warning information includes current real-time heart rate information of the user, average real-time heart rate information in the current time period and a normal heart rate range of the user when riding in a history.
S430, positioning the electric power assisted vehicle in real time to obtain corresponding positioning information.
The positioning information refers to the current position information of the electric bicycle, which is acquired from a positioner of the electric bicycle.
S440, calling preset emergency contact information.
The emergency contact information can be pre-stored by the user in a cloud server or a built-in server of the electric bicycle, including but not limited to information such as a contact cellphone, a mailbox and the like.
And S450, sending the warning information and the positioning information to the emergency contact person.
Specifically, the positioning information and the warning information are edited into short messages or mails and the like to be sent to preset emergency contacts, so that the emergency contacts pay attention to the use state of a user in the first time, emergency measures are taken, and the use safety is improved. For some users with heart health disease history, heart rate abnormality can cause serious consequences, so that emergency contacts can timely know when the heart rate of the user is abnormal, and measures are taken to treat and rescue the user.
In summary, in the implementation of the method, by acquiring the heart rate range of the aerobic exercise of the user and acquiring the real-time heart rate information of the user of the electric bicycle, whether the user is in the aerobic exercise state currently can be judged, and the power assistance of the electric bicycle is regulated based on the heart rate range, the real-time heart rate information and the expression state information, so that the user can keep the aerobic exercise state as much as possible, and the user can exercise to a certain extent; meanwhile, by judging the real-time heart rate information, early warning information is generated when the real-time heart rate information is abnormal, positioning information is acquired, and the positioning information and the early warning information are sent to emergency contacts, so that the safety of the using process is improved.
Based on the above method embodiment, the present application discloses a power control system of an electric power-assisted vehicle, referring to fig. 5, including:
an image information acquisition module 500 for acquiring image information of a user;
the expression state information obtaining module 510 is configured to analyze and generate expression state information of a user according to the image information;
the assistance degree adjusting module 520 is configured to adjust assistance of the electric power-assisted vehicle according to the expression state information.
In summary, after the image information obtaining module 500 obtains the image information of the user, the expression state information obtaining module 510 obtains the expression state information of the user according to the image information, and then adjusts the assistance of the electric power-assisted vehicle according to the expression state information through the assistance degree adjusting module 520, so that the user does not need to manually adjust, and a more noninductive and comfortable riding experience and a safer riding effect are achieved.
Based on the above method embodiment, the application also discloses an electric power-assisted vehicle, referring to fig. 6, including a camera 100, a motor driver 110, a motor 120, a heart rate sensor 130, a memory 140 and a processor 150, where the camera 100, the motor driver 110 and the heart rate sensor 130 are all electrically connected with the processor 150, and the motor 120 is connected with the motor driver 110; the camera 100 is used for acquiring image information of a user, the motor driver 110 and the motor 120 are used for providing assistance, the heart rate sensor 130 is used for acquiring heart rate information of the user, and the memory 140 stores a computer readable program executable by the processor 150.
When the processor 150 executes the computer readable program, the following steps are performed: acquiring image information of a user of the electric bicycle; based on the image information, obtaining expression state information of a user, wherein the expression state information comprises an expression labor-saving state, an expression moderate state and an expression labor-saving state; based on the expression state information, adjusting the power assisting degree of the electric power-assisted vehicle; when the expression state information is in an expression labor-saving state, the power assisting of the electric power-assisted vehicle is reduced; when the expression state information is in a moderate expression state, the power assisting of the electric power-assisted vehicle is maintained unchanged; when the expression state information is in a state of expression and effort, the power assisting of the electric power assisting vehicle is increased.
The memory 140 includes, for example: a usb disk, a removable hard disk, a random access memory 140, a magnetic or optical disk, or other various computer readable storage media that can store program code.
Alternatively, in an embodiment of the present application, when the processor 150 executes the computer readable program, the following steps are performed: carrying out facial expression recognition on the image information to obtain corresponding facial expression information, wherein the facial expression information comprises loose expression, no expression, smile expression, pleasure expression, awkward expression and fierce expression; acquiring expression state information of a user based on the facial expression information, wherein the expression relaxation and the facial expression are classified into expression labor-saving states, and the expression smile and the expression pleasure are classified into expression moderate states; the expression discomfort and expression fierce are classified into expression laborious states.
Alternatively, in an embodiment of the present application, when the processor 150 executes the computer readable program, the following steps are performed: and acquiring real-time heart rate information of the electric bicycle user.
Alternatively, in an embodiment of the present application, when the processor 150 executes the computer readable program, the following steps are performed: calling preset exercise heart rate threshold information, wherein the exercise heart rate threshold information comprises exercise heart rate maximum threshold information and exercise heart rate minimum threshold information; judging whether the real-time heart rate information meets the condition that the real-time heart rate information is not smaller than the maximum threshold value information of the exercise heart rate or not larger than the minimum threshold value information of the exercise heart rate; if yes, sending out an alarm signal.
Alternatively, in an embodiment of the present application, when the processor 150 executes the computer readable program, the following steps are performed: generating warning information when the real-time heart rate information meets the condition that the real-time heart rate information is not smaller than the maximum threshold value information or not larger than the minimum threshold value information of the exercise heart rate, wherein the warning information comprises the current real-time heart rate information of a user; positioning the electric power-assisted vehicle in real time to acquire corresponding positioning information; calling preset emergency contact information; and sending the warning information and the positioning information to the emergency contact person.
Alternatively, in an embodiment of the present application, when the processor 150 executes the computer readable program, the following steps are performed: acquiring an aerobic exercise heart rate range of a user, wherein the aerobic exercise heart rate range is a heart rate range of the user when performing aerobic exercise.
Alternatively, in an embodiment of the present application, when the processor 150 executes the computer readable program, the following steps are performed: when the expression state information is in a moderate expression state, judging whether the real-time heart rate information belongs to an aerobic exercise heart rate range, reducing the power assisting degree of the electric power assisting vehicle when the real-time heart rate information is smaller than the minimum value of the aerobic exercise heart rate range, and not adjusting the power assisting degree of the electric power assisting vehicle when the real-time heart rate information belongs to the aerobic exercise heart rate range, wherein the real-time heart rate information is larger than the maximum value of the aerobic exercise heart rate range, and increasing the power assisting degree of the electric power assisting vehicle.
The various embodiments described herein may be combined or performed in any combination or cross-wise manner, and the order of execution of the various embodiments and the order of execution of the various steps of the various embodiments are not necessarily fixed, nor are they limited to what is shown in the figures, the order of execution of the various embodiments and the order of cross-execution of the various steps of the various embodiments should be determined in terms of their functions and inherent logic.
The above embodiments are not intended to limit the scope of the present application, so: all equivalent changes in structure, shape and principle of the application should be covered in the scope of protection of the application.
Claims (4)
1. A power control method of an electric power assisted vehicle, comprising:
acquiring image information of a user of the electric bicycle;
Based on the image information, acquiring expression state information of a user, wherein the expression state information comprises an expression labor-saving state, an expression moderate state and an expression labor-saving state;
Based on the expression state information, adjusting the power assisting degree of the electric power-assisted vehicle; when the expression state information is in an expression labor-saving state, the power assisting of the electric power-assisted vehicle is reduced; when the expression state information is in a moderate expression state, the power assisting of the electric power-assisted vehicle is maintained unchanged; when the expression state information is in a state of expression and effort, the power assisting of the electric power assisting vehicle is increased;
acquiring real-time heart rate information of a user of the electric bicycle;
acquiring age information and sex information of a user;
determining an aerobic exercise heart rate range of the user based on the age information and the gender information;
calling preset exercise heart rate threshold information, wherein the exercise heart rate threshold information comprises exercise heart rate maximum threshold information and exercise heart rate minimum threshold information;
Judging whether the real-time heart rate information meets the condition that the real-time heart rate information is not smaller than the maximum threshold value information of the exercise heart rate or not larger than the minimum threshold value information of the exercise heart rate; if yes, sending out an alarm signal;
After each riding exercise is finished, if the exercise heart rate in the riding process is determined to be in a normal range interval and a user does not feel abnormal, each exercise heart rate collected in the riding process and an initial exercise heart rate model can be subjected to personalized fitting, so that a curve of the exercise heart rate changing along with time is more and more close to a normal heart rate range of the exercise heart rate of the user, and the minimum threshold information of the exercise heart rate and the maximum threshold information of the exercise heart rate are determined according to the curve of the exercise heart rate changing along with time;
judging whether the real-time heart rate information belongs to the aerobic exercise heart rate range or not;
When the expression state information is in a moderate expression state and the real-time heart rate information is in the aerobic heart rate range, maintaining the current assistance degree;
when the expression state information is in a moderate expression state and the real-time heart rate information is lower than the lower limit of the aerobic heart rate range, the assistance degree is reduced;
and when the expression state information is in a moderate expression state and the real-time heart rate information is higher than the upper limit of the aerobic heart rate range, increasing the assistance degree.
2. The power control method of an electric power assisted vehicle according to claim 1, wherein the process of acquiring the expression state information of the user comprises the steps of:
Carrying out facial expression recognition on the image information to obtain corresponding facial expression information, wherein the facial expression information comprises loose expression, no expression, smile expression, pleasure expression, awkward expression and fierce expression;
Acquiring expression state information of a user based on the facial expression information, wherein the expression relaxation and the facial expression are classified into expression labor-saving states, and the expression smile and the expression pleasure are classified into expression moderate states; the expression discomfort and expression fierce are classified into expression laborious states.
3. The power control method of an electric power assisted vehicle according to claim 1, characterized by further comprising, after the issuing of the warning signal:
Generating warning information, wherein the warning information comprises current real-time heart rate information of a user;
Positioning the electric power-assisted vehicle in real time to acquire corresponding positioning information;
Calling preset emergency contact information;
And sending the warning information and the positioning information to the emergency contact person.
4. The electric power-assisted vehicle is characterized by comprising a camera, a motor driver, a motor, a heart rate sensor, a memory and a processor, wherein the camera, the motor driver and the heart rate sensor are electrically connected with the processor, and the motor is connected with the motor driver; the camera is used for acquiring image information of a user, the motor driver and the motor are used for providing assistance, the heart rate sensor is used for acquiring heart rate information of the user, a computer readable program which can be executed by the processor is stored in the memory, and the processor enables the electric power assisted vehicle to realize the steps in the power control method according to any one of the claims 1-3 when executing the computer readable program.
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Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20100040707A (en) * | 2010-03-09 | 2010-04-20 | 송영철 | Limb pedal by front and the rear wheel drive type cycle |
| CN205220965U (en) * | 2015-12-23 | 2016-05-11 | 上海易吉动力科技有限公司 | Electric bicycle motor helping hand braking system |
| CN107323592A (en) * | 2017-06-21 | 2017-11-07 | 上海云驱智能科技有限公司 | Detect the electric bicycle intelligence system of heart rate and detect the electric bicycle of heart rate |
| CN107416116A (en) * | 2017-07-25 | 2017-12-01 | 江苏立央科技有限公司 | Electric assisted bicycle system |
| CN108438127A (en) * | 2018-02-05 | 2018-08-24 | 浙江齐享科技有限公司 | A kind of the power-assisted adjusting method and system of shared Moped Scooter |
| CN207931861U (en) * | 2017-12-29 | 2018-10-02 | 江苏爱玛车业科技有限公司 | leisure type electric vehicle |
| CN110395339A (en) * | 2019-06-14 | 2019-11-01 | 山东华宇工学院 | A kind of autonomous rescue system of riding cycle and method |
| CN111469967A (en) * | 2020-03-30 | 2020-07-31 | 成都零启自动化控制技术有限公司 | Self-adaptive electric power-assisted bicycle control system and method |
| CA3144397A1 (en) * | 2019-07-19 | 2021-01-28 | Mark GORSKI | An unmanned aerial vehicle (uav)-based system for collecting and distributing animal data for monitoring |
| CN114348164A (en) * | 2022-03-21 | 2022-04-15 | 深圳摩吉智行科技有限公司 | Method for providing power assistance for electric two-wheel vehicle slope based on G-sensor data |
-
2022
- 2022-06-27 CN CN202210736159.4A patent/CN115042907B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20100040707A (en) * | 2010-03-09 | 2010-04-20 | 송영철 | Limb pedal by front and the rear wheel drive type cycle |
| CN205220965U (en) * | 2015-12-23 | 2016-05-11 | 上海易吉动力科技有限公司 | Electric bicycle motor helping hand braking system |
| CN107323592A (en) * | 2017-06-21 | 2017-11-07 | 上海云驱智能科技有限公司 | Detect the electric bicycle intelligence system of heart rate and detect the electric bicycle of heart rate |
| CN107416116A (en) * | 2017-07-25 | 2017-12-01 | 江苏立央科技有限公司 | Electric assisted bicycle system |
| CN207931861U (en) * | 2017-12-29 | 2018-10-02 | 江苏爱玛车业科技有限公司 | leisure type electric vehicle |
| CN108438127A (en) * | 2018-02-05 | 2018-08-24 | 浙江齐享科技有限公司 | A kind of the power-assisted adjusting method and system of shared Moped Scooter |
| CN110395339A (en) * | 2019-06-14 | 2019-11-01 | 山东华宇工学院 | A kind of autonomous rescue system of riding cycle and method |
| CA3144397A1 (en) * | 2019-07-19 | 2021-01-28 | Mark GORSKI | An unmanned aerial vehicle (uav)-based system for collecting and distributing animal data for monitoring |
| CN111469967A (en) * | 2020-03-30 | 2020-07-31 | 成都零启自动化控制技术有限公司 | Self-adaptive electric power-assisted bicycle control system and method |
| CN114348164A (en) * | 2022-03-21 | 2022-04-15 | 深圳摩吉智行科技有限公司 | Method for providing power assistance for electric two-wheel vehicle slope based on G-sensor data |
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|---|---|
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