CN104503671A - Driving control method and device of electric self-balancing vehicle - Google Patents
Driving control method and device of electric self-balancing vehicle Download PDFInfo
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Abstract
The invention relates to a driving control method and a driving control device of an electric self-balancing vehicle, which are used for automatically and intelligently setting a driving mode of the electric self-balancing vehicle. The driving control method comprises the following steps: acquiring current user information; according to the current user information, automatically setting a current driving mode. According to the technical scheme, the current driving mode of the electric self-balancing vehicle can be automatically and intelligently set according to the current user information, and a user does not need to do troublesome manual setting every time on the premise of ensuring safe use of the user, so that the use of the user is facilitated and the user experience is improved.
Description
Technical field
The disclosure relates to manipulation technical field, particularly relates to driving control method and the device of electronic Self-Balancing vehicle.
Background technology
Along with the development of science and technology, increasing trip mode enters our life, as electronic Self-Balancing vehicle.Electronic Self-Balancing vehicle, be again lazyboot's car, intelligent balance car, body sense car, thinking car, the car that acts as regent, intelligence sense car etc., its operation principles is mainly based upon one and is called as in the ultimate principle of " dynamic stability " (DynamicStabilization), utilize gyroscope and the acceleration transducer of vehicle body, detect the change of vehicle body attitude, and utilize servo-control system accurately drive motor adjust accordingly, with the balance of keeping system.Because electronic Self-Balancing vehicle has light, small and exquisite, like by increasing user.
Before the electronic Self-Balancing vehicle of use, user needs according to self travel speed hobby, musical taste, adds the personal likes such as limiting speed of driving speed hobby or be accustomed to arranging the driving model of electronic Self-Balancing vehicle, after setting driving model, electronic Self-Balancing vehicle could be used safely.But sometimes, electronic Self-Balancing vehicle can be used by multiple user, like this, each user, before the electronic Self-Balancing vehicle of use, needs the setting up procedure carrying out driving model, rather too loaded down with trivial details.
But car may be you, and people uses, also may be share between kinsfolk or friend.So everyone likes in the travel speed of electronic Self-Balancing vehicle, and musical taste, adds the aspects such as limiting speed of driving speed different, if first will carry out arranging rather too loaded down with trivial details when everyone uses.
Summary of the invention
For overcoming Problems existing in correlation technique, disclosure embodiment provides driving control method and the device of electronic Self-Balancing vehicle, in order to realize the driving model arranging electronic Self-Balancing vehicle automatically, intelligently.
According to the first aspect of disclosure embodiment, a kind of driving control method of electronic Self-Balancing vehicle is provided, comprises:
Obtain current user's information;
According to described current user's information, the current driving model of Lookup protocol.
In one embodiment, the current user's information of described acquisition, comprising:
Obtain the identify label of current user, wherein, the identify label of described current user comprises any one or multinomial in name, code, biological information.
In one embodiment, the identify label of the current user of described acquisition, can comprise:
Whether terminal device is there is within the scope of monitoring predeterminable range;
When there is terminal device within the scope of predeterminable range, obtain the User Identity of the terminal device within the scope of described predeterminable range;
By the User Identity of the terminal device within the scope of described predeterminable range, as the identify label of current user.
In one embodiment, the current user's information of described acquisition also can comprise:
Obtain the history driving information of current user, described history driving information comprises drives total duration, average velocity, historical high speed, any one in accident number of times or multinomial.
In one embodiment, described according to described current user's information, the current driving model of Lookup protocol, can comprise:
According to the corresponding relation of user's identify label and adaptive driving model, obtain the adaptive driving model that the identify label of described current user is corresponding;
The adaptive driving model corresponding according to the identify label of described current user arranges current driving model.
In one embodiment, the described corresponding relation according to user's identify label and adaptive driving model, obtains the adaptive driving model that the identify label of described current user is corresponding, can comprise:
Being pre-stored in local described corresponding relation, search the adaptive driving model that the identify label of described current user is corresponding; Or
The request of acquisition is sent, the described identify label obtaining request and comprise described current user to the server prestoring described corresponding relation; Obtain the adaptive driving model that the identify label of the described current user found in described corresponding relation that described server returns is corresponding.
In one embodiment, the described adaptive driving model corresponding according to the identify label of described current user arranges current driving model, can comprise:
Adaptive driving model corresponding for the identify label of described current user is set to current driving model; Or
When described current user's information comprises the history driving information of current user, the adaptive driving model corresponding according to the identify label of the described current user of described history driving information adjustment, obtains the adaptive driving model after adjustment; Adaptive driving model after adjustment is set to current driving model.
In one embodiment, described current driving model can comprise top speed and most high acceleration.
According to the second aspect of disclosure embodiment, a kind of steering control device of electronic Self-Balancing vehicle is provided, comprises:
Data obtaining module, for obtaining current user's information;
Lookup protocol module, for according to described current user's information, the current driving model of Lookup protocol.
In one embodiment, described data obtaining module can comprise:
First obtains submodule, and for obtaining the identify label of current user, wherein, the identify label of described current user comprises any one or multinomial in name, code, biological information.
In one embodiment, described data obtaining module can comprise:
Monitoring submodule, for monitoring within the scope of predeterminable range whether there is terminal device;
Mark obtains submodule, for when there is terminal device within the scope of predeterminable range, obtains the User Identity of the terminal device within the scope of described predeterminable range;
Second obtains submodule, for the User Identity by the terminal device within the scope of described predeterminable range, as the identify label of current user.
In one embodiment, described first obtains submodule, also can be used for the history driving information obtaining current user, and described history driving information comprises drives total duration, average velocity, historical high speed, any one in accident number of times or multinomial.
In one embodiment, described Lookup protocol module, can comprise:
Pattern acquiring submodule, for the corresponding relation according to user's identify label and adaptive driving model, obtains the adaptive driving model that the identify label of described current user is corresponding;
Lookup protocol submodule, arranges current driving model for the adaptive driving model corresponding according to the identify label of described current user.
In one embodiment, described pattern acquiring submodule, is also used in and is pre-stored in local described corresponding relation, search the adaptive driving model that the identify label of described current user is corresponding; Or, send to the server prestoring described corresponding relation the request of acquisition, the described identify label obtaining request and comprise described current user; Obtain the adaptive driving model that the identify label of the described current user found in described corresponding relation that described server returns is corresponding.
In one embodiment, described Lookup protocol submodule, also can be used for adaptive driving model corresponding for the identify label of described current user to be set to current driving model; Or when described current user's information comprises the history driving information of current user, the adaptive driving model corresponding according to the identify label of the described current user of described history driving information adjustment, obtains the adaptive driving model after adjustment; Adaptive driving model after adjustment is set to current driving model.
In one embodiment, described current driving model can comprise top speed and most high acceleration.
According to the third aspect of disclosure embodiment, a kind of steering control device of electronic Self-Balancing vehicle is provided, comprises:
Processor;
For the storer of storage of processor executable instruction;
Wherein, described processor is configured to:
Obtain current user's information;
According to described current user's information, the current driving model of Lookup protocol.
The technical scheme that embodiment of the present disclosure provides can comprise following beneficial effect:
Technique scheme, can according to current user's information, automatically, the current driving model of electronic Self-Balancing vehicle is set intelligently, ensureing under the prerequisite that user security uses, user is not needed all to carry out loaded down with trivial details manual setting when each use, convenient for users, improve user's experience.
Should be understood that, it is only exemplary and explanatory that above general description and details hereinafter describe, and can not limit the disclosure.
Accompanying drawing explanation
Accompanying drawing to be herein merged in instructions and to form the part of this instructions, shows embodiment according to the invention, and is used from instructions one and explains principle of the present invention.
Fig. 1 is the process flow diagram of the driving control method of electronic Self-Balancing vehicle according to an exemplary embodiment.
Fig. 2 is the process flow diagram of step S102 in the driving control method of electronic Self-Balancing vehicle according to an exemplary embodiment.
Fig. 3 is the process flow diagram of the driving control method of electronic Self-Balancing vehicle according to an exemplary embodiment one.
Fig. 4 is the process flow diagram of the driving control method of electronic Self-Balancing vehicle according to an exemplary embodiment two.
Fig. 5 is the block diagram of the steering control device of electronic Self-Balancing vehicle according to an exemplary embodiment.
Fig. 6 is the block diagram of data obtaining module 51 in the steering control device of electronic Self-Balancing vehicle according to an exemplary embodiment.
Fig. 7 is the block diagram of Lookup protocol module 52 in the steering control device of electronic Self-Balancing vehicle according to an exemplary embodiment.
Fig. 8 is the block diagram being applicable to the steering control device of electronic Self-Balancing vehicle according to an exemplary embodiment.
Embodiment
Here will be described exemplary embodiment in detail, its sample table shows in the accompanying drawings.When description below relates to accompanying drawing, unless otherwise indicated, the same numbers in different accompanying drawing represents same or analogous key element.Embodiment described in following exemplary embodiment does not represent all embodiments consistent with the present invention.On the contrary, they only with as in appended claims describe in detail, the example of apparatus and method that aspects more of the present invention are consistent.
Disclosure embodiment provides the Driving control technology of electronic Self-Balancing vehicle, in the art, prestore the corresponding relation of user's identify label and adaptive driving model, when needs arrange current driving model, automatically according to identify label and the above-mentioned corresponding relation of current user, obtain the adaptive driving model of current user, then the automatic adaptive driving model according to current user arranges current driving model, thus user does not need manually to arrange driving model each use during electronic Self-Balancing vehicle, avoid loaded down with trivial details manual set-up process, and, driving model and current user's adaptation of Lookup protocol, the security of current user can be ensured.
First the process prestoring the corresponding relation of user's identify label and adaptive driving model is described.
Can configuration information input interface on electronic Self-Balancing vehicle.Information input interface can be intelligent input screen, can be inputted identify label and the driving model (Configuration Values as each drive parameter) of user by this intelligent input screen.Information input interface also can be comprise collecting biological feature information device and driving model arranges interface, collecting biological feature information device can be fingerprint capturer, face collector, iris capturing device, sound collector, body weight collector etc., it can be that driving model arranges button (as each in each drive parameter self-corresponding arrange button) or an intelligent input screen that driving model arranges interface, can input driving model (as inputted the Configuration Values of each drive parameter) by this intelligent input screen.
Each user is when first time uses electronic Self-Balancing vehicle, by the driving model that information input interface is expected to electronic Self-Balancing vehicle input user's identify label and user, the drive parameter that user oneself expects can be comprised in the driving model of user's input, as top speed, most high acceleration, optimum velocity etc., each user is used the user's identify label and driving model corresponding stored that input during electronic Self-Balancing vehicle first time by electronic Self-Balancing vehicle, thus defines the corresponding relation of user's identify label and adaptive driving model.
Wherein, information input interface is different, and the user's identify label stored in above-mentioned corresponding relation is also different.Such as, when information input interface is intelligent input screen, user's identify label is the name that inputs of user or code etc.When information input interface comprises collecting biological feature information device and driving model arranges interface, user's identify label can be the biological information of the user that collecting biological feature information device collects, and can be such as the fingerprint characteristic of user, iris feature, sound characteristic, body weight feature, face characteristic etc.
It is local that above-mentioned corresponding relation can be stored in electronic Self-Balancing vehicle, also can be stored in the server of network side, when needs use this corresponding relation, obtain above-mentioned corresponding relation from its memory address.
The following describes the driving model how disclosure embodiment realizes the electronic Self-Balancing vehicle of Lookup protocol.
Disclosure embodiment provides a kind of driving control method of electronic Self-Balancing vehicle, and the method can be used for electronic Self-Balancing vehicle or other is for manipulating in the terminal device of electronic Self-Balancing vehicle, as shown in Figure 1, and the method comprising the steps of S101-S102:
In step S101, obtain current user's information.
In step s 102, according to current user's information, the current driving model of Lookup protocol.
Wherein, above-mentioned current driving model can comprise the drive parameter values such as top speed, most high acceleration.
In one embodiment, step S101 only can obtain the identify label of current user, as any one or multinomial in name, code, biological information etc.In another embodiment, step S101 is except obtaining the identify label of current user, also can obtain the history driving information of current user, history driving information used during electronic Self-Balancing vehicle and records before current user, and history driving information can be drive total duration, average velocity, historical high speed, any one in accident number of times or multinomial.
Wherein, the identify label of the current user of above-mentioned acquisition may be embodied as under type one or mode two.Mode one, obtain the identify label of the current user that current user is inputted by information input interface.Such as, when information input interface is intelligent input screen, current user can input oneself name or code on intelligent input screen, and the identify label of the current user that electronic Self-Balancing vehicle is got is name or code.Again such as, when information input interface comprises collecting biological feature information device, current user inputs the biological information of current user as characteristic informations such as fingerprint, face, iris, sound or body weight by collecting biological feature information device to electronic Self-Balancing vehicle, and the identify label of the current user that electronic Self-Balancing vehicle is got is the biological informations such as fingerprint, face, iris, sound or body weight.The acquisition process of mode one is simple and efficient.Whether terminal device is there is within the scope of mode two, monitoring predeterminable range; When there is terminal device within the scope of predeterminable range, obtain the User Identity of the terminal device within the scope of predeterminable range; By the User Identity of the terminal device within the scope of predeterminable range, as the identify label of current user.Wherein, above-mentioned terminal device can be mobile communication equipment as mobile phone, can also be that Intelligent worn device is as Intelligent bracelet.The large I of predeterminable range scope is set by the user or default in advance, and its value is less, to ensure the accuracy of the identify label of the current user finally got.Whether there is terminal device within the scope of monitoring predeterminable range, can be embodied as: whether monitoring receives NFC communication network signal or the bluetooth communication network signal of terminal device transmitting, when received, determines to there is terminal device within the scope of predeterminable range.The acquisition process of mode two can make user not need to carry out any information input operation, more simple and efficient.
In one embodiment, as shown in Figure 2, above-mentioned steps S102 can be embodied as step S1021-S1022:
In step S1021, according to the corresponding relation of user's identify label and adaptive driving model, obtain the adaptive driving model that the identify label of current user is corresponding.
In one embodiment, above-mentioned steps S1021 can be embodied as under type A or mode B: mode A, being pre-stored in local above-mentioned corresponding relation, search the adaptive driving model that the identify label of current user is corresponding.In mode A, above-mentioned corresponding relation is stored in electronic Self-Balancing vehicle this locality, and the seek rate of mode A is fast.Mode B, send to the server prestoring above-mentioned corresponding relation the request of acquisition, the request of acquisition comprises the identify label of current user; Obtain the adaptive driving model that the identify label of the current user found in above-mentioned corresponding relation that server returns is corresponding.In mode B, above-mentioned corresponding relation is stored in the server of network side, and mode B can save local storage space.
In step S1022, the adaptive driving model corresponding according to the identify label of current user arranges current driving model.
In one embodiment, adaptive driving model corresponding for the identify label of current user directly can be set to current driving model by step S1022.
In another embodiment, when also comprising the history driving information of current user in the current user's information got in above-mentioned steps S101, step S1022 also can be embodied as:
Adjust adaptive driving model corresponding to the identify label of current user according to the history driving information of current user, obtain the adaptive driving model after adjustment; Wherein, can comprise in the history driving information of current user and drive any one in total duration, average velocity, historical high speed, accident number of times or multinomial; Adaptive driving model after adjustment is set to current driving model.
In one embodiment, default regulation rule can be when history driving information reflects that the history driving situation of current user is better, adaptive driving model is adjusted to the travel speed pattern faster that can make electronic Self-Balancing vehicle.Such as, when the total duration of driving is more than the first preset duration, accident number of times is lower than the first preset times, average velocity higher than the first pre-set velocity or historical high speed higher than the second pre-set velocity time, wherein, second pre-set velocity is higher than the first pre-set velocity, illustrate that the history driving situation of current user is better, top speed in adaptive driving model reasonably can be heightened, or the most high acceleration in adaptive driving model is reasonably heightened, thus can intelligently according to the history service condition of current user, adjust adaptive driving model, the current driving model of final configuration is made more to meet the personal considerations of current user, current user is not needed manually to adjust driving model again, improve user's experience.Further, also maximum safe speed and the highest safe acceleration can be set, make the top speed in the adaptive driving model after heightening be no more than default safe speed or most high acceleration is no more than default safe acceleration, ensure that the personal safety of user.
In another embodiment, default regulation rule also can be when history driving information reflects that the history driving situation of current user is poor, adaptive driving model is adjusted to the pattern that the travel speed of electronic Self-Balancing vehicle can be made to slow down.Such as, when the total duration of driving is lower than the second preset duration (the second preset duration is less than the first preset duration), accident number of times is lower than the second preset times (the second preset times is less than the first preset times), average velocity lower than the 3rd pre-set velocity (the 3rd pre-set velocity is less than the first pre-set velocity) or historical high speed lower than the 4th pre-set velocity (the 4th pre-set velocity is less than the second pre-set velocity) time, wherein, 4th pre-set velocity is higher than the 3rd pre-set velocity, illustrate that the history driving situation of current user is poor, top speed in adaptive driving model reasonably can be turned down, or the most high acceleration in adaptive driving model is reasonably turned down, thus can intelligently according to the history service condition of current user, adjust adaptive driving model, the current driving model of final configuration is made more to meet the personal considerations of current user, ensure that the personal safety of user, and do not need current user manually to adjust driving model again, improve user's experience.
The technique scheme that disclosure embodiment provides, can according to current user's information, automatically, the current driving model of electronic Self-Balancing vehicle is set intelligently, ensureing under the prerequisite that user security uses, user is not needed all to carry out loaded down with trivial details manual setting when each use, convenient for users, improve user's experience.
With specific embodiment, the said method that disclosure embodiment provides is described below.
Embodiment one
The said method that disclosure embodiment provides is applied to following application scenarios: an electronic Self-Balancing vehicle, storer is provided with in this car, the corresponding relation of the code of five users and adaptive driving model corresponding to each code is stored in storer, a code is had for " 951 " in this corresponding relation, this car is provided with intelligent input screen, user can to the name of this car input oneself by intelligent input screen, and as shown in Figure 3, the method comprises:
In step S301, current user opens the intelligent input screen of electronic Self-Balancing vehicle, according to the prompting of intelligent input screen, to the code " 951 " of electronic Self-Balancing vehicle input oneself.
In step s 302, after electronic Self-Balancing vehicle gets the code " 951 " of current user input, in the above-mentioned corresponding relation stored in its memory, find the adaptive driving model that this code " 951 " is corresponding.
In step S303, current driving model is set to adaptive driving model corresponding to code " 951 " by electronic Self-Balancing vehicle automatically.
Afterwards, after current user starts electronic Self-Balancing vehicle, electronic Self-Balancing vehicle just adopts the current driving model of its Lookup protocol to travel.
Above-described embodiment one, utilize the said method that disclosure embodiment provides, utilize the code that current user inputs, automatically, the current driving model of electronic Self-Balancing vehicle is set intelligently, ensureing under the prerequisite that user security uses, user is not needed all to carry out loaded down with trivial details manual setting in use, convenient for users, improve user's experience.
Embodiment two
The said method that disclosure embodiment provides is applied to following application scenarios: an electronic Self-Balancing vehicle, although be provided with storer in this car, in this storer, does not store the identify label of any user and the corresponding relation of adaptive driving model; In a server of network side, store three users fingerprint separately and the corresponding relation of adaptive driving model for this electronic Self-Balancing vehicle, this server also stores these three users history driving information separately.Can carry out the mutual of data by network between this electronic Self-Balancing vehicle and this server, this electronic Self-Balancing vehicle is provided with fingerprint capturer, user can to the fingerprint of this car input oneself by fingerprint capturer, and as shown in Figure 4, the method comprises:
In step S401, current user opens the fingerprint capturer of electronic Self-Balancing vehicle, is placed in the collection groove of this fingerprint capturer by finger, to the fingerprint characteristic of electronic Self-Balancing vehicle input oneself.
In step S402, after electronic Self-Balancing vehicle gets the fingerprint characteristic of current user, send to server the request of acquisition, the request of acquisition comprises the fingerprint characteristic of current user.
In step S403, after server gets above-mentioned acquisition request, from obtaining the fingerprint characteristic extracting current user request, then in its above-mentioned corresponding relation stored, search the adaptive driving model that the fingerprint characteristic of current user is corresponding, if found, then server returns its adaptive driving model found to electronic Self-Balancing vehicle, and returns the history driving information of current user, continues step S404; If do not found, then server returns to electronic Self-Balancing vehicle and searches failure notification, by electronic Self-Balancing vehicle, this notice is shown to current user, and current user is then manually arranged.
In step s 404, after the adaptive driving model that electronic Self-Balancing vehicle gets current user and history driving information, according to aforementioned default regulation rule, adjust the adaptive driving model of current user according to history driving information, obtain the adaptive driving model after adjustment.
In step S405, current driving model is set to the adaptive driving model after adjusting by electronic Self-Balancing vehicle automatically.
Above-described embodiment two, utilize the said method that disclosure embodiment provides, utilize the fingerprint characteristic that current user inputs, automatically, the current driving model of electronic Self-Balancing vehicle is set intelligently, ensureing under the prerequisite that user security uses, user is not needed all to carry out loaded down with trivial details manual setting in use, convenient for users, improve user's experience.
The driving control method of the above-mentioned electronic Self-Balancing vehicle that corresponding disclosure embodiment provides, disclosure embodiment also provides a kind of steering control device of electronic Self-Balancing vehicle, and as shown in Figure 5, this device comprises:
Data obtaining module 51 is configured to obtain current user's information;
Lookup protocol module 52 is configured to according to current user's information, the current driving model of Lookup protocol.
In one embodiment, data obtaining module 51 can comprise:
First obtains submodule is configured to the identify label obtaining current user, and wherein, the identify label of current user comprises any one or multinomial in name, code, biological information.
In one embodiment, as shown in Figure 6, data obtaining module 51 can comprise:
Monitoring submodule 61 is configured to whether there is terminal device within the scope of monitoring predeterminable range;
Mark obtains submodule 62 and is configured to when there is terminal device within the scope of predeterminable range, obtains the User Identity of the terminal device within the scope of predeterminable range;
Second obtains submodule 63 is configured to the User Identity of the terminal device within the scope of predeterminable range, as the identify label of current user.
In one embodiment, first obtains submodule also can be configured to the history driving information obtaining current user, and history driving information comprises drives total duration, average velocity, historical high speed, any one in accident number of times or multinomial.
In one embodiment, as shown in Figure 7, Lookup protocol module 52 can comprise:
Pattern acquiring submodule 71 is configured to the corresponding relation according to user's identify label and adaptive driving model, obtains the adaptive driving model that the identify label of current user is corresponding;
Lookup protocol submodule 72 is configured to the adaptive driving model corresponding according to the identify label of current user and arranges current driving model.
In one embodiment, pattern acquiring submodule 71 also can be configured to, being pre-stored in local corresponding relation, search the adaptive driving model that the identify label of current user is corresponding; Or send to the server prestoring corresponding relation the request of acquisition, the request of acquisition comprises the identify label of current user; Obtain the adaptive driving model that the identify label of the current user found in corresponding relation that server returns is corresponding.
In one embodiment, Lookup protocol submodule 72 also can be configured to adaptive driving model corresponding for the identify label of current user to be set to current driving model; Or, when current user's information comprises the history driving information of current user, adjust adaptive driving model corresponding to the identify label of current user according to history driving information, obtain the adaptive driving model after adjustment; Adaptive driving model after adjustment is set to current driving model.
In one embodiment, current driving model can comprise top speed and most high acceleration.
According to the third aspect of disclosure embodiment, a kind of steering control device of electronic Self-Balancing vehicle is provided, comprises:
Processor;
For the storer of storage of processor executable instruction;
Wherein, processor is configured to:
Obtain current user's information;
According to current user's information, the current driving model of Lookup protocol.
Above-mentioned processor also can be configured to:
Obtain the identify label of current user, wherein, the identify label of described current user comprises any one or multinomial in name, code, biological information.
Above-mentioned processor also can be configured to:
The identify label of the current user of described acquisition, can comprise:
Whether terminal device is there is within the scope of monitoring predeterminable range;
When there is terminal device within the scope of predeterminable range, obtain the User Identity of the terminal device within the scope of described predeterminable range;
By the User Identity of the terminal device within the scope of described predeterminable range, as the identify label of current user.
Above-mentioned processor also can be configured to:
The current user's information of described acquisition also can comprise:
Obtain the history driving information of current user, described history driving information comprises drives total duration, average velocity, historical high speed, any one in accident number of times or multinomial.
Above-mentioned processor also can be configured to:
Described according to described current user's information, the current driving model of Lookup protocol, can comprise:
According to the corresponding relation of user's identify label and adaptive driving model, obtain the adaptive driving model that the identify label of described current user is corresponding;
The adaptive driving model corresponding according to the identify label of described current user arranges current driving model.
Above-mentioned processor also can be configured to:
The described corresponding relation according to user's identify label and adaptive driving model, obtains the adaptive driving model that the identify label of described current user is corresponding, can comprise:
Being pre-stored in local described corresponding relation, search the adaptive driving model that the identify label of described current user is corresponding; Or
The request of acquisition is sent, the described identify label obtaining request and comprise described current user to the server prestoring described corresponding relation; Obtain the adaptive driving model that the identify label of the described current user found in described corresponding relation that described server returns is corresponding.
Above-mentioned processor also can be configured to:
The described adaptive driving model corresponding according to the identify label of described current user arranges current driving model, can comprise:
Adaptive driving model corresponding for the identify label of described current user is set to current driving model; Or
When described current user's information comprises the history driving information of current user, the adaptive driving model corresponding according to the identify label of the described current user of described history driving information adjustment, obtains the adaptive driving model after adjustment; Adaptive driving model after adjustment is set to current driving model.
Above-mentioned processor also can be configured to:
Described current driving model can comprise top speed and most high acceleration.
A kind of non-transitory computer-readable recording medium, when the instruction in described storage medium is performed by the processor of mobile terminal, make mobile terminal can perform a kind of driving control method of electronic Self-Balancing vehicle, described method comprises:
Obtain current user's information;
According to described current user's information, the current driving model of Lookup protocol.
In one embodiment, the current user's information of described acquisition, comprising:
Obtain the identify label of current user, wherein, the identify label of described current user comprises any one or multinomial in name, code, biological information.
In one embodiment, the identify label of the current user of described acquisition, can comprise:
Whether terminal device is there is within the scope of monitoring predeterminable range;
When there is terminal device within the scope of predeterminable range, obtain the User Identity of the terminal device within the scope of described predeterminable range;
By the User Identity of the terminal device within the scope of described predeterminable range, as the identify label of current user.
In one embodiment, the current user's information of described acquisition also can comprise:
Obtain the history driving information of current user, described history driving information comprises drives total duration, average velocity, historical high speed, any one in accident number of times or multinomial.
In one embodiment, described according to described current user's information, the current driving model of Lookup protocol, can comprise:
According to the corresponding relation of user's identify label and adaptive driving model, obtain the adaptive driving model that the identify label of described current user is corresponding;
The adaptive driving model corresponding according to the identify label of described current user arranges current driving model.
In one embodiment, the described corresponding relation according to user's identify label and adaptive driving model, obtains the adaptive driving model that the identify label of described current user is corresponding, can comprise:
Being pre-stored in local described corresponding relation, search the adaptive driving model that the identify label of described current user is corresponding; Or
The request of acquisition is sent, the described identify label obtaining request and comprise described current user to the server prestoring described corresponding relation; Obtain the adaptive driving model that the identify label of the described current user found in described corresponding relation that described server returns is corresponding.
In one embodiment, the described adaptive driving model corresponding according to the identify label of described current user arranges current driving model, can comprise:
Adaptive driving model corresponding for the identify label of described current user is set to current driving model; Or
When described current user's information comprises the history driving information of current user, the adaptive driving model corresponding according to the identify label of the described current user of described history driving information adjustment, obtains the adaptive driving model after adjustment; Adaptive driving model after adjustment is set to current driving model.
In one embodiment, described current driving model can comprise top speed and most high acceleration.
Fig. 8 is the block diagram of a kind of steering control device 1200 for electronic Self-Balancing vehicle according to an exemplary embodiment, and this device is applicable to terminal device.Such as, device 1200 can be mobile phone, computing machine, digital broadcast terminal, messaging devices, game console, tablet device, Medical Devices, body-building equipment, personal digital assistant etc.
With reference to Fig. 8, device 1200 can comprise following one or more assembly: processing components 1202, storer 1204, power supply module 1206, multimedia groupware 1208, audio-frequency assembly 1210, the interface 1212 of I/O (I/O), sensor module 1214, and communications component 1216.
The integrated operation of the usual control device 1200 of processing components 1202, such as with display, call, data communication, camera operation and record operate the operation be associated.Treatment element 1202 can comprise one or more processor 1220 to perform instruction, to complete all or part of step of above-mentioned method.In addition, processing components 1202 can comprise one or more module, and what be convenient between processing components 1202 and other assemblies is mutual.Such as, processing element 1202 can comprise multi-media module, mutual with what facilitate between multimedia groupware 1208 and processing components 1202.
Storer 1204 is configured to store various types of data to be supported in the operation of equipment 1200.The example of these data comprises for any application program of operation on device 1200 or the instruction of method, contact data, telephone book data, message, picture, video etc.Storer 1204 can be realized by the volatibility of any type or non-volatile memory device or their combination, as static RAM (SRAM), Electrically Erasable Read Only Memory (EEPROM), Erasable Programmable Read Only Memory EPROM (EPROM), programmable read only memory (PROM), ROM (read-only memory) (ROM), magnetic store, flash memory, disk or CD.
The various assemblies that electric power assembly 1206 is device 1200 provide electric power.Electric power assembly 1206 can comprise power-supply management system, one or more power supply, and other and the assembly generating, manage and distribute electric power for device 1200 and be associated.
Multimedia groupware 1208 is included in the screen providing an output interface between described device 1200 and user.In certain embodiments, screen can comprise liquid crystal display (LCD) and touch panel (TP).If screen comprises touch panel, screen may be implemented as touch-screen, to receive the input signal from user.Touch panel comprises one or more touch sensor with the gesture on sensing touch, slip and touch panel.Described touch sensor can the border of not only sensing touch or sliding action, but also detects the duration relevant to described touch or slide and pressure.In certain embodiments, multimedia groupware 1208 comprises a front-facing camera and/or post-positioned pick-up head.When equipment 1200 is in operator scheme, during as screening-mode or video mode, front-facing camera and/or post-positioned pick-up head can receive outside multi-medium data.Each front-facing camera and post-positioned pick-up head can be fixing optical lens systems or have focal length and optical zoom ability.
Audio-frequency assembly 1210 is configured to export and/or input audio signal.Such as, audio-frequency assembly 1210 comprises a microphone (MIC), and when device 1200 is in operator scheme, during as call model, logging mode and speech recognition mode, microphone is configured to receive external audio signal.The sound signal received can be stored in storer 1204 further or be sent via communications component 1216.In certain embodiments, audio-frequency assembly 1210 also comprises a loudspeaker, for output audio signal.
I/O interface 1212 is for providing interface between processing components 1202 and peripheral interface module, and above-mentioned peripheral interface module can be keyboard, some striking wheel, button etc.These buttons can include but not limited to: home button, volume button, start button and locking press button.
Sensor module 1214 comprises one or more sensor, for providing the state estimation of various aspects for device 1200.Such as, sensor module 1214 can detect the opening/closing state of equipment 1200, the relative positioning of assembly, such as described assembly is display and the keypad of device 1200, the position of all right pick-up unit 1200 of sensor module 1214 or device 1200 assemblies changes, the presence or absence that user contacts with device 1200, the temperature variation of device 1200 orientation or acceleration/deceleration and device 1200.Sensor module 1214 can comprise proximity transducer, be configured to without any physical contact time detect near the existence of object.Sensor module 1214 can also comprise optical sensor, as CMOS or ccd image sensor, for using in imaging applications.In certain embodiments, this sensor module 1214 can also comprise acceleration transducer, gyro sensor, Magnetic Sensor, pressure transducer or temperature sensor.
Communications component 1216 is configured to the communication being convenient to wired or wireless mode between device 1200 and other equipment.Device 1200 can access the wireless network based on communication standard, as WiFi, 2G or 3G, or their combination.In one exemplary embodiment, communication component 1216 receives from the broadcast singal of external broadcasting management system or broadcast related information via broadcast channel.In one exemplary embodiment, described communication component 1216 also comprises near-field communication (NFC) module, to promote junction service.Such as, can based on radio-frequency (RF) identification (RFID) technology in NFC module, Infrared Data Association (IrDA) technology, ultra broadband (UWB) technology, bluetooth (BT) technology and other technologies realize.
In the exemplary embodiment, device 1200 can be realized, for performing said method by one or more application specific integrated circuit (ASIC), digital signal processor (DSP), digital signal processing appts (DSPD), programmable logic device (PLD) (PLD), field programmable gate array (FPGA), controller, microcontroller, microprocessor or other electronic components.
In the exemplary embodiment, additionally provide a kind of non-transitory computer-readable recording medium comprising instruction, such as, comprise the storer 1204 of instruction, above-mentioned instruction can perform said method by the processor 820 of device 1200.Such as, described non-transitory computer-readable recording medium can be ROM, random access memory (RAM), CD-ROM, tape, floppy disk and optical data storage devices etc.
Those skilled in the art, at consideration instructions and after putting into practice disclosed herein disclosing, will easily expect other embodiment of the present disclosure.The application is intended to contain any modification of the present disclosure, purposes or adaptations, and these modification, purposes or adaptations are followed general principle of the present disclosure and comprised the undocumented common practise in the art of the disclosure or conventional techniques means.Instructions and embodiment are only regarded as exemplary, and true scope of the present disclosure and spirit are pointed out by claim below.
Should be understood that, the disclosure is not limited to precision architecture described above and illustrated in the accompanying drawings, and can carry out various amendment and change not departing from its scope.The scope of the present disclosure is only limited by appended claim.
Claims (17)
1. a driving control method for electronic Self-Balancing vehicle, is characterized in that, comprising:
Obtain current user's information;
According to described current user's information, the current driving model of Lookup protocol.
2. the method for claim 1, is characterized in that,
The current user's information of described acquisition, comprising:
Obtain the identify label of current user, wherein, the identify label of described current user comprises any one or multinomial in name, code, biological information.
3. method as claimed in claim 2, is characterized in that,
The identify label of the current user of described acquisition, comprising:
Whether terminal device is there is within the scope of monitoring predeterminable range;
When there is terminal device within the scope of predeterminable range, obtain the User Identity of the terminal device within the scope of described predeterminable range;
By the User Identity of the terminal device within the scope of described predeterminable range, as the identify label of current user.
4. method as claimed in claim 2, is characterized in that,
The current user's information of described acquisition also comprises:
Obtain the history driving information of current user, described history driving information comprises drives total duration, average velocity, historical high speed, any one in accident number of times or multinomial.
5. the method as described in claim 2 or 4, is characterized in that,
Described according to described current user's information, the current driving model of Lookup protocol, comprising:
According to the corresponding relation of user's identify label and adaptive driving model, obtain the adaptive driving model that the identify label of described current user is corresponding;
The adaptive driving model corresponding according to the identify label of described current user arranges current driving model.
6. method as claimed in claim 5, is characterized in that,
The described corresponding relation according to user's identify label and adaptive driving model, obtains the adaptive driving model that the identify label of described current user is corresponding, comprising:
Being pre-stored in local described corresponding relation, search the adaptive driving model that the identify label of described current user is corresponding; Or
The request of acquisition is sent, the described identify label obtaining request and comprise described current user to the server prestoring described corresponding relation; Obtain the adaptive driving model that the identify label of the described current user found in described corresponding relation that described server returns is corresponding.
7. method as claimed in claim 5, is characterized in that,
The described adaptive driving model corresponding according to the identify label of described current user arranges current driving model, comprising:
Adaptive driving model corresponding for the identify label of described current user is set to current driving model; Or
When described current user's information comprises the history driving information of current user, the adaptive driving model corresponding according to the identify label of the described current user of described history driving information adjustment, obtains the adaptive driving model after adjustment; Adaptive driving model after adjustment is set to current driving model.
8. the method for claim 1, is characterized in that,
Described current driving model comprises top speed and most high acceleration.
9. a steering control device for electronic Self-Balancing vehicle, is characterized in that, comprising:
Data obtaining module, for obtaining current user's information;
Lookup protocol module, for according to described current user's information, the current driving model of Lookup protocol.
10. device as claimed in claim 9, is characterized in that,
Described data obtaining module comprises:
First obtains submodule, and for obtaining the identify label of current user, wherein, the identify label of described current user comprises any one or multinomial in name, code, biological information.
11. devices as claimed in claim 10, is characterized in that,
Described data obtaining module comprises:
Monitoring submodule, for monitoring within the scope of predeterminable range whether there is terminal device;
Mark obtains submodule, for when there is terminal device within the scope of predeterminable range, obtains the User Identity of the terminal device within the scope of described predeterminable range;
Second obtains submodule, for the User Identity by the terminal device within the scope of described predeterminable range, as the identify label of current user.
12. devices as claimed in claim 10, is characterized in that,
Described first obtains submodule, and also for obtaining the history driving information of current user, described history driving information comprises drives total duration, average velocity, historical high speed, any one in accident number of times or multinomial.
13. devices as described in claim 10 or 12, is characterized in that,
Described Lookup protocol module, comprising:
Pattern acquiring submodule, for the corresponding relation according to user's identify label and adaptive driving model, obtains the adaptive driving model that the identify label of described current user is corresponding;
Lookup protocol submodule, arranges current driving model for the adaptive driving model corresponding according to the identify label of described current user.
14. devices as claimed in claim 13, is characterized in that,
Described pattern acquiring submodule, also for being pre-stored in local described corresponding relation, searches the adaptive driving model that the identify label of described current user is corresponding; Or, send to the server prestoring described corresponding relation the request of acquisition, the described identify label obtaining request and comprise described current user; Obtain the adaptive driving model that the identify label of the described current user found in described corresponding relation that described server returns is corresponding.
15. devices as claimed in claim 13, is characterized in that,
Described Lookup protocol submodule, also for adaptive driving model corresponding for the identify label of described current user is set to current driving model; Or when described current user's information comprises the history driving information of current user, the adaptive driving model corresponding according to the identify label of the described current user of described history driving information adjustment, obtains the adaptive driving model after adjustment; Adaptive driving model after adjustment is set to current driving model.
16. devices as claimed in claim 9, is characterized in that,
Described current driving model comprises top speed and most high acceleration.
The steering control device of 17. 1 kinds of electronic Self-Balancing vehicles, is characterized in that, comprising:
Processor;
For the storer of storage of processor executable instruction;
Wherein, described processor is configured to:
Obtain current user's information;
According to described current user's information, the current driving model of Lookup protocol.
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