CN115042907A - Power control method and system of electric moped and electric moped - Google Patents
Power control method and system of electric moped and electric moped Download PDFInfo
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- B62M6/40—Rider propelled cycles with auxiliary electric motor
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- B—PERFORMING OPERATIONS; TRANSPORTING
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Abstract
The application relates to the field of electric moped, in particular to a power control method and a system of the electric moped and the electric moped, wherein the power control method comprises the steps of obtaining image information of a user of the electric moped; analyzing and generating expression state information of the user based on the image information; and adjusting the power assisting degree of the electric moped based on the expression state information. This application can be based on expression state information adjusts electric bicycle's power, makes electric bicycle according to user's state automatically regulated electric power assisted size, does not need the user to adjust, realizes more the comfortable experience of riding of noninductive and safer effect of riding.
Description
Technical Field
The present disclosure relates to electric vehicles, and particularly to a power control method and system for an electric vehicle and an electronic device.
Background
Among transportation vehicles, bicycles are the easiest vehicle to select as a vehicle to move. In recent years, it has been developed to add extra power to bicycles to assist users, such as electric power assisted vehicles. The extra power is supplementary can alleviate the consumption of user's physical power, brings better experience for riding.
However, during use, the user may face the problem of getting no exercise when riding too light due to excessive power assistance; or the problem that the power assistance is insufficient in some road sections, so that the riding is too labored is solved, and the problem needs to be further improved.
Disclosure of Invention
Aiming at the problems that in the prior art, a user may be too relaxed during riding due to overlarge power assistance and cannot get exercise; or the problem that power assistance is insufficient in some road sections, so that the riding is too strenuous is solved.
In a first aspect, the present application provides a power control method for an electric power-assisted vehicle, which adopts the following technical solution:
a power control method of an electric bicycle comprises the following steps:
acquiring image information of a user of the electric bicycle;
acquiring expression state information of a user based on the image information, wherein the expression state information comprises an expression labor-saving state, an expression moderate state and an expression labor-saving state;
adjusting the power assisting degree of the electric moped based on the expression state information; when the expression state information is in an expression labor-saving state, reducing the assistance of the electric moped; when the expression state information is in a moderate expression state, maintaining the assistance of the electric moped unchanged; and when the expression state information is in a state of wasting expression, the assistance of the electric moped is increased.
By adopting the technical scheme, the electric moped 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 moped based on the expression state information; the electric power-assisted vehicle has the advantages that the electric power-assisted vehicle can automatically adjust the size of the electric power assistance according to the state of a user, the user does not need to adjust the electric power-assisted vehicle, and more suitable auxiliary power and safer riding effect are brought to the user.
Optionally, in the process of acquiring the expression state information of the user, the method includes the following steps:
performing facial expression recognition on the image information to acquire corresponding facial expression information, wherein the facial expression information comprises relaxed expression, non-expression, smile expression, joyful expression, uncomfortable expression and ferocious expression;
acquiring expression state information of the user based on the facial expression information, wherein loose expression and non-expression are classified into expression labor-saving states, and smile expression and pleasure expression are classified into expression moderate states; and classifying the emotional embarrassment and ferocious expression into an expressive and labourious state.
By adopting the technical scheme, the facial expression information of the user is acquired through facial expression recognition, and the expression state is classified through the facial expression information, so that the user can know whether the user is in an expression labor-saving state, an expression moderate state or an expression laborious state.
Optionally, the method further includes:
acquiring real-time heart rate information of a user of the electric bicycle;
acquiring the heart rate range of aerobic exercise of a user, wherein the heart rate range of the aerobic exercise is the heart rate range of the user during the aerobic exercise;
judge whether real-time rhythm of heart information belongs to aerobic exercise rhythm of heart within range, wherein, when real-time rhythm of heart information is less than the minimum of aerobic exercise rhythm of heart within range, reduce electric bicycle's helping hand degree, when real-time rhythm of heart information belongs to aerobic exercise rhythm of heart within range, do not adjust electric bicycle's helping hand degree real-time rhythm of heart information is greater than the maximum value of aerobic exercise rhythm of heart within range, increases electric bicycle's helping hand degree.
By adopting the technical scheme, the user can ride in a proper state by reading the expression state information, and then whether the real-time heart rate information of the user is in the aerobic exercise heart rate range can be judged by acquiring the real-time heart rate information and the aerobic exercise heart rate range of the user; if the real-time heart rate information is smaller than the minimum value of the aerobic exercise heart rate range, the assistance of the electric moped can be reduced; if the real-time heart rate information is larger than the maximum value of the aerobic exercise heart rate range, the assistance of the electric moped can be increased; thereby let user's real-time rhythm of the heart information keep in aerobic exercise rhythm of the heart within range as far as possible, let the user can obtain the exercise of certain degree, avoid anaerobic exercise to cause bad influence for user's health simultaneously.
Optionally, in the process of acquiring the aerobic exercise heart rate range of the user, the method includes:
acquiring age information and gender information of a user;
determining an aerobic exercise heart rate range of the user based on the age information and the gender information.
Through adopting above-mentioned technical scheme, confirm user's aerobic exercise rhythm of heart scope through the age information and the sex information that acquire the user to whether the real-time rhythm of heart information that realizes the control user belongs to user's aerobic exercise rhythm of heart scope.
Optionally, before the acquiring the aerobic exercise heart rate range of the user, the method further includes:
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 information not less than the maximum threshold value of the exercise heart rate or not more than the minimum threshold value of the exercise heart rate; if yes, a warning signal is sent out.
By adopting the technical scheme, the real-time heart rate information is judged to be positioned between the exercise heart rate minimum threshold information and the exercise heart rate maximum threshold information, and the aerobic exercise heart rate range of the user is obtained only when the real-time heart rate information belongs to the range between the exercise heart rate minimum threshold information and the exercise heart rate maximum threshold information; otherwise, a warning signal is sent out so as to remind the user and surrounding companions, so that the user can have a rest and condition in time, and the safety of the use process is improved.
Optionally, after the sending 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 moped 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.
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 further 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, and take emergency measures to rescue and process, and the use safety is improved.
In a second aspect, the present application provides a power control system for an electric power-assisted vehicle, which adopts the following technical solution:
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 the user according to the image information;
and the power assisting degree adjusting module is used for adjusting the power assisting of the electric moped according to the expression state information.
Through adopting above-mentioned technical scheme, helping hand that can the automatically regulated electric bicycle for the user does not need manual regulation, brings the more suitable auxiliary power of user and safer effect of riding.
In a third aspect, the present application provides an electric bicycle, which adopts the following technical solution:
an electric moped 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 power assistance, the heart rate sensor is used for acquiring heart rate information of the user, a computer readable program capable of being executed by the processor is stored in the memory, and the processor enables the electric moped to realize any one of the steps in the power control method when executing the computer readable program.
Through adopting above-mentioned technical scheme, helping hand that can the automatically regulated electric bicycle for the user does not need manual regulation, brings the more suitable auxiliary power of user and safer effect of riding.
In summary, the present application includes at least one of the following beneficial technical effects:
1. this application is through obtaining user's image information, based on image information obtains user's expression state information, through judging user's expression state to judge that the user is in laborsaving state still hard state, and then through the helping hand degree of adjustment electric bicycle. When a user is in a labor-saving state, the power is reduced, and the endurance time of the electric moped is prolonged; when a user is in a labor-wasting state, the power assistance is increased to assist the user in riding, the adjustment process of the power assistance does not need the user to manually adjust, and more suitable auxiliary power and safer riding effect are brought to the user;
2. the assisting power of the electric moped is further adjusted by acquiring the real-time heart rate information of the user and 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 much as possible, and the user can exercise and avoid adverse effects on the body of the user caused by anaerobic exercise;
3. this application is through judging whether user's real-time heart rate information belongs to user's normal rhythm of the heart scope, sends warning signal when real-time heart rate information surpasss normal rhythm of the heart scope, and generates early warning information and locating information to send early warning information and locating information to urgent contact, let the user can obtain timely rescue and processing when heart rate is unusual.
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 illustrating a method for controlling power of an electric bicycle according to an embodiment of the present disclosure;
FIG. 3 is a flow chart of a method for controlling power of an electric bicycle according to another embodiment of the present application;
FIG. 4 is a flow chart of a method for controlling power of an electric bicycle according to another embodiment of the present application;
FIG. 5 is a schematic block diagram illustrating a power control system of an electric bicycle according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of an electric bicycle according to an embodiment of the present application.
Description of reference numerals: 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. an expression state information acquisition module; 520. and a power-assisted degree adjusting module.
Detailed Description
The present application is described in further detail below with reference to figures 1-6.
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is further described in detail below with reference to fig. 1-6 and the embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The control method of the electric moped provided by the embodiment of the application is executed by the electric moped, and referring to fig. 1, the electric moped comprises a camera 100, a motor driver 110, a motor 120 and a heart rate sensor 130. Wherein, camera 100 is used for shooing user's image information, and heart rate sensor 130 is used for real-time detection user's heart rate, and motor driver 110 can drive motor 120 and produce the helping hand to the supplementary user rides.
In this embodiment, the camera 100 may be installed at a handlebar of a bicycle so as to photograph facial information of a user, and the heart rate sensor 130 may be disposed at a handlebar of the bicycle, in contact with a palm of the user, and then measure real-time heart rate information of the user. It is to be understood that the installation positions of the camera head 100 and the heart rate sensor 130 are not specifically limited in this application.
Based on the above principle, it should be noted that, the power control method for an electric bicycle provided in the present application, which is described from the perspective of the processor 150, can be implemented as a computer program by programming and executed on an intelligent device, which includes but is not limited to an electric bicycle, a computer, an intelligent terminal, and the like.
The embodiment of the application discloses a power control method of an electric moped. Referring to fig. 2, including:
and S200, acquiring image information of the electric bicycle user.
The electric bicycle user is a user of the electric bicycle who is riding the electric bicycle and is shot by the camera 100 of the electric bicycle; the image information mainly includes a face image of the user.
Specifically, in the present embodiment, the camera 100 is mounted on the handlebar of the electric bicycle, and captures the area above the seat of the electric bicycle to obtain a facial image. When a plurality of facial images are shot, one facial image with the largest proportion of all the facial images in the image information is selected as the facial image of the user, or one facial image with the closest facial image to the camera 100 is selected as the facial image of the user.
When the user starts the electric bicycle to start riding, the camera 100 is kept in a power-on state so as to shoot the user in real time.
S210, obtaining expression state information of the user based on the image information, wherein the expression state information comprises an expression labor-saving state, an expression moderate state and an expression labor-consuming 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 power assisting degree of the electric moped 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 relaxed expression, blankness, smile expression, joy expression, uncomfortable expression, and ferocious expression. Acquiring expression state information of the user based on the facial expression information, classifying loose expression and non-facial expression into expression labor-saving states, and classifying smile expression and pleasure expression into moderate expression states in the embodiment; and classifying the emotional embarrassment and ferocious expression into an expressive and labourious state. 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.
The facial expression recognition is to extract expression features from a facial image of a user and compare the expression features with a preset expression feature data set so as to obtain facial expression information of the user; the facial expression recognition mainly comprises the steps of extracting regions of difference among various expressions, mainly selecting three regions of a mouth, eyebrows and eyes, calculating relevant slope information among key points in the three regions, and extracting expression features based on deformation according to the relevant slope information; and tracking key points in the three regions, extracting corresponding displacement information, extracting distance information between specific feature points of the face image, subtracting the distance information from 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 frowns, the system acquires displacement information corresponding to key points corresponding to an eyebrow area, extracts distance information between two eyes of a face image, makes a difference with a distance between the two eyes in a calm picture to obtain distance change information, extracts expression features according to the distance change information, compares the expression features with a preset expression feature data set, judges that the expression is uncomfortable, and classifies the expression into an expression strenuous state.
And S220, adjusting the power assisting degree of the electric moped based on the expression state information.
The assisting degree of the electric bicycle refers to the degree of the driving force generated by the motor 120 of the electric bicycle, and the processing of the electric bicycle can be used for assisting the user in riding so as to save the physical consumption 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 bicycle, so that the cruising ability of the electric bicycle is improved; when the expression state information is identified to be in a moderate expression state, maintaining the assistance of the electric moped unchanged; when expression state information is discerned as the hard state of expression, increase motor 120's drive power for the user provides bigger auxiliary power auxiliary user and rides, thereby reduces user's the degree of difficulty of riding, carries out electric bicycle's helping hand based on expression state information and adjusts, lets the user can keep under a moderate state of riding, and the process of adjusting does not need user manual regulation, uses and experiences well.
The implementation principle of the embodiment of the application is as follows: through the image information of gathering the user, the expression state information of analysis generation user, based on the size of user's expression state automatically regulated electric bicycle helping hand, whole process of adjusting the helping hand does not need the user to carry out manual regulation, realizes more that the comfortable experience of riding of noninductive and safer ride the effect.
In other embodiments, the degree of assist of the electric power assisted vehicle can be further adjusted in the following two cases.
Case 1, when the helping hand degree of adjusting electric bicycle according to user's expression state information, make electric bicycle's helping hand degree can adapt to the user, let the user be in after the moderate state of expression, can also carry out further regulation to electric bicycle's helping hand degree this moment, let the user obtain aerobic exercise under keeping suitable riding state as far as possible.
And 2, when the power assisting degree of the electric moped is adjusted according to the expression state information of the user, the power assisting degree reaches a maximum power assisting degree threshold or a minimum power assisting degree threshold, and the expression state information of the user is still in a power-saving expression state or a power-wasting expression state, the expression state of the user is possibly influenced by other factors, and the power assisting degree of the electric moped needs to be further adjusted.
Referring to fig. 3, the method further includes:
and S300, acquiring real-time heart rate information of the user of the electric moped.
The real-time heart rate information refers to the current heart rate information of the user collected by the heart rate sensor 130 in real time.
Specifically, when the user starts electric bicycle, heart rate sensor 130 starts thereupon, and the user palm can contact with heart rate sensor 130 at the in-process of riding, and heart rate sensor 130 can gather the current heart rate information of user in real time to monitor user's heart rate state.
S310, acquiring the heart rate range of aerobic exercise of the user;
the heart rate range of the aerobic exercise of the user refers to a heart rate range when the user performs the aerobic exercise under normal conditions, and when the heart rate of the user is in this range, the user is considered to be performing the aerobic exercise, and when the heart rate of the user is out of this range, the user is considered to be performing the anaerobic exercise or a state where the exercise intensity does not reach the aerobic exercise.
Specifically, in this embodiment, acquiring the heart rate range of the aerobic exercise of the user includes: acquiring age information and gender information of a user; determining an aerobic exercise heart rate range of the user based on the age information and the gender information.
The way of acquiring the age information and the identity information of the user can be the following scheme:
the first scheme is that the identity information of a user is obtained based on face recognition of image information; and calling age information and gender information of the user based on the identity information.
The identity information of the user can be stored in a cloud database or a database of the electric moped in advance, and the identity information corresponding to the user can be found from the database by carrying out face recognition and comparing a recognition result with a face image in the database; the user can enter identity information into the database through software and the like in advance, the identity information comprises the age, the gender, the face image and the like of the user, when the user rides the electric power-assisted bicycle, the camera 100 collects the image information and compares the face image with the face image in the database to acquire the identity information, and then the age and the gender information of the user are acquired according to the identity information.
The second scheme is based on face recognition of image information; and analyzing and generating age information and gender information of the user based on the result of the face recognition. The scheme does not need to extract data from a database, and the rough age information and the rough gender information are directly analyzed through face recognition.
Generally, the optimal heart rate range for aerobic exercise is related to age, gender, resting heart rate, and the like. There are various calculation formulas for calculating the heart rate range of aerobic exercise. In the embodiment of the present application, based on the age information and the gender information, a specific calculation manner for determining the heart rate range of the aerobic exercise of the user is to calculate the maximum heart rate for men being 205-age, the maximum heart rate for women being 220-age, and the optimal heart rate range during exercise being 60% -80% of the maximum heart rate.
And S320, further adjusting the power assisting degree of the electric moped 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 a heart rate range, the user is in a proper riding difficulty and the user is in an aerobic exercise state; the assisting force of the electric moped can not be changed. 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 does not reach aerobic exercise; if the heart rate is smaller than the minimum value of the heart rate range, the assistance of the electric moped can be reduced; if the heart rate is larger than the maximum value of the heart rate range, the assistance of the electric moped can be increased, so that a user can keep the riding state of aerobic exercise as much as possible, and certain exercise can be obtained.
Further, referring to fig. 4, before acquiring the aerobic exercise heart rate range of the user, the method further includes:
and S400, calling preset exercise heart rate threshold information.
The athletic heart rate threshold information includes athletic heart rate minimum threshold information and athletic heart rate maximum threshold information.
Specifically, the athletic heart rate minimum threshold information and the athletic heart rate maximum threshold information may be determined based on a normal heart rate range of the user during historical cycling. After each riding exercise is finished, if the exercise heart rate in the riding process is determined to be in the normal range interval and the user does not feel abnormal, the exercise heart rates acquired in the riding process can be subjected to personalized fitting with the initial exercise heart rate model, so that the curve of the exercise heart rate changing along with time is closer to the normal range of the exercise heart rate of the user, and further 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 improving the accuracy of monitoring of 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 less than the exercise heart rate maximum threshold information or not more than the exercise heart rate minimum threshold information; if yes, a warning signal is sent out.
Specifically, after the real-time heart rate information of the user is collected, the real-time heart rate information is compared with exercise heart rate threshold information, and when the real-time heart rate information is not less than the exercise heart rate maximum threshold information or not more than the exercise heart rate minimum threshold information, a warning signal can be sent out; the warning signal can be played through an audio playing component of the electric moped to remind a user; the warning device can also prompt buzzing through a buzzer or the like or prompt vibration through a vibration element on the vehicle body, and the warning mode of the warning signal is not limited by the warning device.
S420, generating warning information, wherein the warning information comprises the current real-time heart rate information of the user.
Specifically, the warning information includes the current real-time heart rate information of the user, the average real-time heart rate information in the current time period, and the normal heart rate range of the user during historical riding.
And S430, positioning the electric moped in real time to obtain corresponding positioning information.
The positioning information refers to the position information of the electric bicycle collected from the positioner of the electric bicycle.
And S440, calling preset emergency contact information.
The emergency contact information can be pre-stored in a cloud server or a server built in the electric moped by a user, and includes but is not limited to information such as a contact mobile phone, a mailbox and the like.
And S450, sending the warning information and the positioning information to the emergency contact.
Specifically, the positioning information and the warning information are edited into short messages or mails and the like to be 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, and emergency measures are taken, so that the use safety is improved. For some users with a history of heart health disorders, an abnormal heart rate can have serious consequences, and therefore emergency contacts can know the abnormal heart rate of the users in time and take measures to treat and cure the users.
In conclusion, in the implementation of the method, whether the user is in the aerobic exercise state at present can be judged 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 moped, and the assistance of the electric moped is adjusted based on the heart rate range, the real-time heart rate information and the expression state information, so that the user can be kept in the aerobic exercise state as much as possible, and the user can exercise to a certain extent; meanwhile, the real-time heart rate information is judged, the early warning information is generated when the real-time heart rate information is abnormal, the positioning information is acquired, the positioning information and the early warning information are sent to the emergency contact, and 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 bicycle, with reference to fig. 5, including:
an image information obtaining module 500 for obtaining image information of a user;
an expression state information obtaining module 510, configured to analyze and generate expression state information of the user according to the image information;
and the assistance degree adjusting module 520 is used for adjusting the assistance of the electric moped 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 bicycle through the assistance degree adjusting module 520 according to the expression state information, so that the user does not need to manually adjust the assistance, and a more comfortable riding experience and a safer riding effect are achieved.
Based on the above method embodiment, the present application further discloses an electric moped, 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 to the processor 150, and the motor 120 is connected to 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 which can be executed 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; acquiring expression state information of a user based on image information, wherein the expression state information comprises an expression labor-saving state, an expression moderate state and an expression labor-saving state; adjusting the power assisting degree of the electric moped based on the expression state information; when the expression state information is in an expression labor-saving state, reducing the assistance of the electric moped; when the expression state information is in a moderate expression state, maintaining the assistance of the electric moped unchanged; and when the expression state information is in a state of wasting expression, the assistance of the electric moped is increased.
The memory 140 includes, for example: various computer readable storage media that can store program code, such as a U-disk, a removable hard disk, a random access memory 140, a magnetic or optical disk, and the like.
Optionally, in an embodiment of the present application, when the processor 150 executes the computer readable program, the following steps are performed: performing facial expression recognition on the image information to acquire corresponding facial expression information, wherein the facial expression information comprises relaxed expression, non-expression, smile expression, joyful expression, uncomfortable expression and ferocious expression; acquiring expression state information of the user based on the facial expression information, wherein loose expression and non-expression are classified into expression labor-saving states, and smile expression and pleasure expression are classified into expression moderate states; and classifying the emotional embarrassment and ferocious expression into an expressive and labourious state.
Optionally, 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 user of the electric bicycle.
Optionally, 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 information not less than the maximum threshold value of the exercise heart rate or not more than the minimum threshold value of the exercise heart rate; if yes, a warning signal is sent out.
Optionally, in an embodiment of the present application, when the processor 150 executes the computer readable program, the following steps are performed: when the real-time heart rate information meets the condition that the real-time heart rate information is not less than the exercise heart rate maximum threshold information or not more than the exercise heart rate minimum threshold information, generating warning information, wherein the warning information comprises the current real-time heart rate information of a user; positioning the electric moped 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.
Optionally, in an embodiment of the present application, when the processor 150 executes the computer readable program, the following steps are performed: obtaining 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.
Optionally, in an embodiment of the present application, when the processor 150 executes the computer readable program, the following steps are performed: when expression state information is the moderate state of expression, judge whether real-time rhythm of the heart information belongs to aerobic exercise rhythm of the heart within range, when real-time rhythm of the heart information is less than the minimum in aerobic exercise rhythm of the heart scope, reduce electric bicycle's helping hand degree, when real-time rhythm of the heart information belongs to aerobic exercise rhythm of the heart within range, do not adjust electric bicycle's helping hand degree real-time rhythm of the heart information is greater than the maximum in aerobic exercise rhythm of the heart scope, increase electric bicycle's helping hand degree.
The multiple embodiments described in this application can be executed in any combination or in an intersection of steps, the execution order of each embodiment and the execution order of the steps of each embodiment are not fixed and are not limited to the order shown in the drawings, and the execution order of each embodiment and the intersection of the execution order of each step of each embodiment should be determined by their functions and inherent logic.
The above embodiments are preferred embodiments of the present application, and the protection scope of the present application is not limited by the above embodiments, so: all equivalent changes made according to the structure, shape and principle of the present application shall be covered by the protection scope of the present application.
Claims (8)
1. A power control method for an electric power-assisted vehicle, comprising:
acquiring image information of a user of the electric bicycle;
acquiring expression state information of a user based on the image information, wherein the expression state information comprises an expression labor-saving state, an expression moderate state and an expression labor-saving state;
adjusting the power assisting degree of the electric moped based on the expression state information; when the expression state information is in an expression labor-saving state, reducing the assistance of the electric moped; when the expression state information is in a moderate expression state, maintaining the assistance of the electric moped unchanged; and when the expression state information is in a state of wasting expression, the assistance of the electric moped is increased.
2. The method as claimed in claim 1, wherein the step of obtaining the expression status information of the user comprises the steps of:
performing facial expression recognition on the image information to acquire corresponding facial expression information, wherein the facial expression information comprises relaxed expression, non-expression, smile expression, joyful expression, uncomfortable expression and ferocious expression;
acquiring expression state information of the user based on the facial expression information, wherein loose expression and non-expression are classified into expression labor-saving states, and smile expression and pleasure expression are classified into expression moderate states; and classifying the emotional embarrassment and ferocious expression into an expressive and labourious state.
3. The power control method of an electric power assisted vehicle as claimed in claim 1, further comprising:
acquiring real-time heart rate information of a user of the electric bicycle;
acquiring the heart rate range of aerobic exercise of a user, wherein the heart rate range of the aerobic exercise is the heart rate range of the user during the aerobic exercise;
judge whether real-time rhythm of heart information belongs to aerobic exercise rhythm of heart within range, wherein, when real-time rhythm of heart information is less than the minimum of aerobic exercise rhythm of heart within range, reduce electric bicycle's helping hand degree, when real-time rhythm of heart information belongs to aerobic exercise rhythm of heart within range, do not adjust electric bicycle's helping hand degree real-time rhythm of heart information is greater than the maximum value of aerobic exercise rhythm of heart within range, increases electric bicycle's helping hand degree.
4. The method as claimed in claim 3, wherein the step of obtaining the aerobic exercise heart rate range of the user comprises:
acquiring age information and gender information of a user;
determining an aerobic exercise heart rate range of the user based on the age information and the gender information.
5. The method of claim 4, wherein before determining whether the real-time heart rate information falls within the aerobic exercise heart rate range, 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 information not less than the maximum threshold value of the exercise heart rate or not more than the minimum threshold value of the exercise heart rate; if yes, a warning signal is sent out.
6. An electric bicycle according to claim 5, wherein after said warning signal is issued, further comprising:
generating warning information, wherein the warning information comprises current real-time heart rate information of a user;
positioning the electric moped 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.
7. A power control system of an electric bicycle, 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 the user according to the image information;
and the power assisting degree adjusting module is used for adjusting the power assisting of the electric moped according to the expression state information.
8. An electric moped 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, the memory is stored with a computer readable program which can be executed by the processor, and the processor executes the computer readable program to enable the electric moped to realize the steps in the power control method of any one of the claims 1-6.
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