CN109791411A - Control method, equipment and the storage medium of intelligent slide plate - Google Patents
Control method, equipment and the storage medium of intelligent slide plate Download PDFInfo
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- CN109791411A CN109791411A CN201780061094.5A CN201780061094A CN109791411A CN 109791411 A CN109791411 A CN 109791411A CN 201780061094 A CN201780061094 A CN 201780061094A CN 109791411 A CN109791411 A CN 109791411A
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
- G05D1/02—Control of position or course in two dimensions
Abstract
A kind of control method of intelligence slide plate, controls equipment and computer readable storage medium, the described method comprises the following steps: obtaining the destination address and initial address (S10) of user's input；Several travel routes are generated according to destination address and initial address, and the optimal travel route in the travel route of generation is pushed into (S20) to user；When detecting automatic running instruction, current intelligent slide plate is controlled according to the optimal travel route automatic running (S30).The intelligence slide plate can plan the route of user, and do not need user and be operated manually and can travel automatically, improve user experience.
Description
Technical Field
The invention relates to the field of automatic driving, in particular to a control method and device of an intelligent skateboard and a computer readable storage medium.
Background
The scooter is a product for a new scooter after the traditional scooter, and is widely popular among the public, especially young people. Electric scooter's the kind on the market is many at present, but traditional scooter all needs the user to carry out the independent driving to current electric scooter general control mode is single, only can realize simple basic operations such as advancing, retreating, and can not control functions such as brake, turn to. The electric scooter has high sliding speed up to tens of kilometers per hour, is not easy to control, has certain danger, can cause traffic accidents in serious conditions, and is easy to cause safety accidents particularly when the driving technology of a driver is not skillful enough. In addition, in the process of driving the electric scooter by a driver, the route can not be planned generally, or the route can only be planned through external equipment, such as a mobile terminal, and the probability of safety accidents is increased by using the external equipment in the process of driving the electric scooter.
Disclosure of Invention
The invention mainly aims to provide a control method and equipment of an intelligent sliding plate and a computer readable storage medium, and aims to solve the technical problems that an existing electric scooter is inconvenient to control and cannot plan a driving route.
In order to achieve the above object, the present invention provides a method for controlling an intelligent skateboard, comprising the steps of:
acquiring a destination address and an initial address input by a user;
generating a plurality of driving routes according to the destination address and the starting address, and pushing the optimal driving route in the generated driving routes to a user;
and when an automatic driving instruction is detected, controlling the current intelligent sliding plate to automatically drive according to the optimal driving route.
Optionally, the step of generating a plurality of driving routes according to the destination address and the start address, and pushing an optimal driving route in the generated driving routes to the user includes:
calculating the driving time and the driving distance of each driving route;
adding a calculation weight to the driving time according to the driving distance, wherein the calculation weight is larger when the driving distance is longer;
and calculating the running time of each running route according to the added calculation weight, and pushing the running route with the shortest calculated weighted running time as an optimal running route to a user.
Optionally, the step of controlling the current intelligent skateboard to automatically run according to the optimal running route further comprises:
recording a traveled track according to a starting address and a destination address, and generating a traveled route according to the traveled track, wherein the traveled route comprises a road name sequence which is formed by the shape of the traveled track and the sequential passing of the intelligent skateboard in the process of traveling from the starting address to the destination address;
recording the running speed of the intelligent skateboard in the running process from the starting address to the destination address;
and taking the traveled route and the travel speed as a reference for generating the travel route.
Optionally, the step of recording the running speed of the intelligent skateboard during running from the starting address to the destination address further comprises:
recording road condition information of an automatic driving route according to the optimal driving route, wherein the road condition information comprises current road condition information of roads corresponding to the road names, and the current road condition information comprises current road traffic flow, current water accumulation, current construction state, current air quality and current traffic condition of the corresponding roads;
and taking the traveled route, the traveling speed and the road condition information as a reference for generating the traveling route.
Optionally, when the automatic driving instruction is detected, after the step of controlling the current intelligent skateboard to automatically drive according to the optimal driving route, the method further includes:
monitoring the density of people and vehicles on roads which are not driven in the roads on which the selected optimal driving route passes in real time;
and in the driving process, the driving speed of the intelligent skateboard is changed according to the detected density of the people and the vehicles.
Optionally, the method further comprises:
monitoring the residual electric quantity of the intelligent sliding plate in real time;
calculating the feasible driving distance of the intelligent skateboard through the current residual electric quantity of the intelligent skateboard, and feeding back the calculation result to a user;
when the residual capacity of the current intelligent skateboard is less than the preset capacity, the user is reminded that the output capacity is insufficient.
In addition, in order to achieve the above object, the present invention further provides a control device of an intelligent skateboard, which includes a processor and a memory, wherein the memory stores a control program of the intelligent skateboard;
the processor is used for executing the control program of the intelligent skateboard to realize the following steps:
acquiring a destination address and an initial address input by a user;
generating a plurality of driving routes according to the destination address and the starting address, and pushing the optimal driving route in the generated driving routes to a user;
and when an automatic driving instruction is detected, controlling the current intelligent sliding plate to automatically drive according to the optimal driving route.
According to the control method, the control equipment and the computer readable storage medium of the intelligent skateboard, before the intelligent skateboard runs, a destination address and a starting address input by a user are firstly obtained; then generating a plurality of driving routes according to the destination address and the starting address, and pushing the optimal driving route in the generated driving routes to a user, thereby finishing the planning of the driving routes; when an automatic driving instruction is detected, the current intelligent sliding plate is controlled to automatically drive according to the optimal driving route, the intelligent sliding plate can be controlled without manual operation of a user, the intelligent degree of the intelligent sliding plate is improved, the probability of safety accidents caused by poor technology of drivers is reduced, and therefore the safety accidents are reduced.
Drawings
FIG. 1 is a schematic flow chart of a first embodiment of a control method for an intelligent skateboard according to the present invention;
FIG. 2 is a detailed flowchart of the steps of generating a plurality of driving routes according to destination addresses and starting addresses and pushing an optimal driving route in the generated driving routes to a user in the second embodiment of the control method of the intelligent skateboard of the present invention;
FIG. 3 is a flow chart illustrating a third embodiment of the control method for the intelligent skateboard of the present invention;
FIG. 4 is a schematic flow chart illustrating a fourth embodiment of the control method for the intelligent skateboard of the present invention;
FIG. 5 is a flow chart illustrating a fifth embodiment of the control method of the intelligent skateboard of the present invention;
FIG. 6 is a flowchart illustrating a sixth embodiment of the method for controlling an intelligent skateboard according to the present invention;
fig. 7 is a schematic device structure diagram of a hardware operating environment according to an embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The main solution of the embodiment of the invention is as follows: before the intelligent skateboard runs, firstly, a destination address and an initial address input by a user are obtained; then generating a plurality of driving routes according to the destination address and the starting address, and pushing the optimal driving route in the generated driving routes to a user, thereby finishing the planning of the driving routes; when an automatic driving instruction is detected, the current intelligent sliding plate is controlled to automatically drive according to the optimal driving route, the intelligent sliding plate can be controlled without manual operation of a user, the intelligent degree of the intelligent sliding plate is improved, the probability of safety accidents caused by poor technology of drivers is reduced, and therefore the safety accidents are reduced.
In consideration of the fact that in the prior art, a driver generally drives an intelligent skateboard autonomously, a remote controller controls the intelligent skateboard, and the driver or external equipment judges a driving route, the embodiment of the invention has the following defects: the intelligent sliding plate is controlled by the remote controller, the general control mode of the existing electric scooter is single, and the basic operations such as simple advancing, retreating and the like can be realized, but the functions such as braking, steering and the like can not be controlled. The electric scooter has high sliding speed up to tens of kilometers per hour, is not easy to control, has certain danger, can cause traffic accidents in serious conditions, and is easy to cause safety accidents particularly when the driving technology of a driver is not skillful enough. Judge driving route through the navigating mate, can lead to the navigating mate to the accuracy of judgement is not high, and plans the route through external equipment, for example mobile terminal etc. needs the navigating mate to use external equipment at the in-process of driving electric scooter, can lead to taking place the probability of incident and increase.
Therefore, the embodiment of the invention provides a control method of an intelligent skateboard, which comprises the steps of firstly obtaining a destination address and a starting address input by a user before the intelligent skateboard runs; then generating a plurality of driving routes according to the destination address and the starting address, and pushing the optimal driving route in the generated driving routes to a user, thereby finishing the planning of the driving routes; when an automatic driving instruction is detected, the current intelligent sliding plate is controlled to automatically drive according to the optimal driving route, the intelligent sliding plate can be controlled without manual operation of a user, the intelligent degree of the intelligent sliding plate is improved, the probability of safety accidents caused by poor technology of drivers is reduced, and therefore the safety accidents are reduced.
Referring to fig. 1, fig. 1 is a flowchart illustrating a first embodiment of a control method for an intelligent skateboard according to the present invention.
In this embodiment, the method includes:
step S10, acquiring a destination address and an initial address input by a user;
in this embodiment, the various embodiments of the present invention are implemented by an intelligent skateboard with automatic driving. More specifically, various embodiments of the present invention are implemented by a processor in an intelligent sled. And the intelligent skateboard is provided with an on-board unit, and the on-board unit can be a Redbox, Tbox or other on-board units which are smaller and can communicate. The vehicle-mounted unit can be realized based on an Advanced Driver Assistance System (ADAS), wherein the ADAS utilizes various sensors installed on the intelligent skateboard to sense the surrounding environment at any time in the driving process of the intelligent skateboard, collects data, identifies, detects and tracks static and dynamic objects, and combines with navigator map data to perform systematic operation and analysis, thereby effectively avoiding other vehicles and pedestrians on the road, effectively increasing the comfort and safety of driving the intelligent skateboard, and effectively reducing the driving risk.
Specifically, a user can input a start address and a destination address of the user through a display interface of the intelligent skateboard, further, the user can only input the destination address, and then the current address is used as the start address, at the moment, the processor can obtain the start address and the destination address of the user, further, the obtained start address and the obtained destination address can be stored, when the user starts again in the same place and needs to arrive at the same place, the user can directly select the start address and the destination address, and the start address and the destination address do not need to be input before starting every time.
Step S20, generating a plurality of driving routes according to the destination address and the starting address, and pushing the optimal driving route in the generated driving routes to the user;
after the starting address and the destination address are obtained, the corresponding driving route is generated according to the starting address and the destination address, and it can be understood that the number of the driving routes can be multiple, the processor can select the driving routes according to the driving time and the driving route of each driving route, and then the selected optimal driving route is selected. Specifically, the method for selecting the optimal route includes: firstly, the selection can be directly carried out according to the time spent by each route, namely, the route which spends the least time is selected as the optimal route; secondly, selecting according to the travel of each route, namely taking the route with the shortest travel as the optimal route; and thirdly, the optimal route can be selected by combining the time spent on each route and the weight between the routes. The invention preferentially adopts a third selection method, namely, a calculation weight is added to the running time of each route according to the travel of each route, wherein the calculation weight is larger when the running distance is longer; and then taking the route corresponding to the running time with the minimum calculated weight value as the optimal running route.
And step S30, when an automatic driving instruction is detected, controlling the current intelligent skateboard to automatically drive according to the optimal driving route.
After the optimal driving route is selected, the current intelligent sliding plate can be controlled to automatically drive according to the optimal driving route, the user can be sent to the destination address input by the user, independent driving by the driver is not needed, and meanwhile, traffic accidents caused by poor driving technology of the driver can be avoided through automatic driving, so that the traffic accidents are reduced. Furthermore, traffic jam is avoided by planning the driving route, so that the time for the user to reach the destination address is shortened, and the user experience is improved.
In the control method of the intelligent skateboard provided by the embodiment, before the intelligent skateboard runs, a destination address and a starting address input by a user are firstly obtained; then generating a plurality of driving routes according to the destination address and the starting address, and pushing the optimal driving route in the generated driving routes to a user, thereby finishing the planning of the driving routes; when an automatic driving instruction is detected, the current intelligent sliding plate is controlled to automatically drive according to the optimal driving route, the intelligent sliding plate can be controlled without manual operation of a user, the intelligent degree of the intelligent sliding plate is improved, the probability of safety accidents caused by poor technology of drivers is reduced, and therefore the safety accidents are reduced.
Further, referring to fig. 2, a second embodiment of the control method of the intelligent skateboard of the present invention is provided based on the first embodiment of the control method of the intelligent skateboard of the present invention.
In this embodiment, the step S20 includes:
step S21, calculating the running time and the running distance of each running route;
step S22, adding a calculation weight to the travel time according to the travel distance, wherein the calculation weight is larger when the travel distance is longer;
and step S23, calculating the running time of each running route according to the added calculation weight, and pushing the running route with the shortest calculated weighted running time as an optimal running route to the user.
In this embodiment, the method for calculating the optimal route may be: firstly, calculating the running time and running distance of each running route, and then adding a calculation weight to the running time according to the running distance, wherein the calculation weight is larger when the running distance is longer; and then calculating the running time of each running route according to the added calculation weight, and pushing the running route with the shortest calculated weighted running time as an optimal running route to a user. In the actual calculation process, the driving time can be multiplied by the corresponding weighted value to obtain the weighted driving time, and then the driving route corresponding to the minimum weighted driving time obtained through calculation is used as the optimal driving route and is pushed to the user.
Further, referring to fig. 3, a third embodiment of the control method of the intelligent skateboard of the present invention is provided based on the first embodiment of the control method of the intelligent skateboard of the present invention.
In this embodiment, the steps after step S30 further include:
step S40, recording a traveled track according to the starting address and the destination address, and generating a traveled route according to the traveled track, wherein the traveled route comprises a travel track shape and a road name sequence which are sequentially passed by the intelligent skateboard in the process of traveling from the starting address to the destination address;
step S50, recording the driving speed of the intelligent skateboard in the driving process from the starting address to the destination address;
in step S60, the already-traveled route and the travel speed are used as a reference for generating the travel route.
In the process of automatically driving the intelligent skateboard, recording the driving track of the intelligent skateboard according to the starting address and the destination address of the intelligent skateboard, monitoring the current road condition to obtain road condition information such as a road name sequence passed by the intelligent skateboard, and then generating a driven route according to the driven track, wherein the driven route comprises a driving track shape and a road name sequence passed by the intelligent skateboard in the driving process from the starting address to the destination address; then, further, the running speed of the intelligent skateboard in the running process from the starting address to the destination address is recorded, specifically, the running speed of the intelligent skateboard can be recorded in segments, for example, the travel is divided into a plurality of segments, then the running speed of each segment is recorded, and the real-time speed of the intelligent skateboard can also be recorded, so that the real-time speed of the intelligent skateboard in the running process can be better known. After the traveled route and the travel speed are obtained, the traveled route can be used as a reference when a route to be traveled is generated subsequently, so as to avoid the road with the road congestion.
When the special condition of jam appears on the driving route, the driving route is changed in time, the intelligent sliding plate is prevented from being blocked on the driving route, unnecessary time waste is avoided, and the traveling efficiency of the user is improved.
In the control method of the intelligent skateboard provided by the embodiment, firstly, in the driving process of the intelligent skateboard, a driven track is recorded according to a starting address and a destination address, and a driven route is generated according to the driven track, wherein the driven route comprises a driving track shape and a road name sequence which are sequentially passed by the intelligent skateboard in the driving process from the starting address to the destination address; then further recording the running speed of the intelligent skateboard in the running process from the starting address to the destination address; the recorded running route and the running speed are used as a reference for generating the running route, so that in the subsequent travelling process of a user, when the special condition of congestion appears on the route to be run, the running route is changed in time, the intelligent sliding plate is prevented from being blocked on the running route, unnecessary time waste is avoided, and the travelling efficiency of the user is improved.
Further, referring to fig. 4, a fourth embodiment of the control method of the intelligent skateboard of the present invention is proposed based on the third embodiment of the control method of the intelligent skateboard of the present invention.
In this embodiment, the steps after step S50 further include:
step S70, recording road condition information of an automatic driving route according to the optimal driving route, wherein the road condition information comprises current road condition information of roads corresponding to the road names, and the current road condition information comprises current road traffic flow, current water accumulation, current construction state, current air quality and current traffic condition of the corresponding roads;
and step S80, taking the traveled route, the traveling speed and the road condition information as a reference for generating the traveling route.
In this embodiment, in the driving process of the intelligent skateboard, besides recording the driving track and the driving record, the road condition information of the driving route may be further recorded, where the road condition information includes the current road condition information of the road corresponding to each road name, and the current road condition information includes the current traffic flow, the current water accumulation, the current construction state, the current air quality, and the current traffic condition of the corresponding road; when the obtained road condition information is analyzed to obtain that the running route is congested or difficult to pass, the information of road congestion is recorded, specifically, the road condition conditions on each road of the running route are obtained according to the road condition information, and the road condition difference of the running route (the road condition difference can refer to the conditions that the vehicle quantity is overlarge (namely, the vehicle quantity is larger than the preset vehicle quantity), the road water accumulation quantity is overlarge (namely, the water accumulation quantity is larger than the preset water quantity), the running route is under road construction, a traffic accident occurs, the air quality is poor (namely, PM2.5 is larger than the preset value) and the like) is stored according to the road condition conditions on each road of the running route and the road layout around. And when the acquired road condition information is analyzed to obtain that the habitual driving route is not congested or easy to pass, the information of the smooth road is stored. Therefore, in the subsequent process of generating the driving route, the road condition information is used as the reference for generating the driving route, so that the intelligent sliding plate avoids roads which are unfavorable for driving, such as large pedestrian flow, construction and large traffic flow and the like in the driving process as far as possible, the congestion time is reduced, and the user experience is improved.
In the control method of the intelligent skateboard provided by this embodiment, during the driving process of the intelligent skateboard, the road condition information of the route automatically driven according to the optimal driving route is recorded, wherein the road condition information includes current road condition information of roads corresponding to each road name, and the current road condition information includes current road traffic flow, current water accumulation, current construction state, current air quality, and current traffic condition of the corresponding road; and then the information of the traveled route, the travel speed and the road condition is used as a reference for generating the travel route, so that the intelligent skateboard avoids roads which are unfavorable for travel, such as large pedestrian flow, construction and large traffic flow and the like, as far as possible in the travel process, the congestion time is reduced, and the user experience is improved.
Further, referring to fig. 5, a fifth embodiment of the control method of the intelligent skateboard of the present invention is proposed based on the first embodiment of the control method of the intelligent skateboard of the present invention.
In this embodiment, the steps after step S30 further include:
step S90, monitoring the density of people and vehicles on the roads which are not driven in the roads on which the selected optimal driving route passes in real time;
and S100, changing the running speed of the intelligent skateboard according to the detected density of the people and the vehicles in the running process.
In the embodiment, in the process that the intelligent skateboard automatically runs according to the optimal running route, the concentration of people and vehicles on roads which do not run in the optimal running route can be monitored in real time, so that the conditions of pedestrians and vehicles on the front roads are obtained, and the running speed of the intelligent skateboard is adjusted and controlled. Specifically, the density of people and vehicles in the road can be known through the feedback of the roadside unit; in the driving process of the intelligent skateboard, when the density of people or vehicles in the road is monitored, or the density of people and vehicles is higher, the driving speed of the intelligent skateboard can be properly reduced, wherein the conditions of the people and the vehicles on the road can be adopted according to the distance set by a user, for example, when the distance set by the user is 20 meters, the speed is only changed according to the density of the people and the vehicles on the road within 20 meters.
According to the control method of the intelligent skateboard, the density of people and vehicles on roads which do not run in the roads where the selected optimal running route passes is monitored in real time; then can be in the driving process, according to the personnel that detect and the speed of traveling of vehicle density change intelligent slide, prevent that intelligent slide from colliding in personnel or the intensive place of vehicle, improve the security of driving.
Further, referring to fig. 6, a sixth embodiment of the control method of the intelligent skateboard of the present invention is proposed based on the first embodiment of the control method of the intelligent skateboard of the present invention.
In this embodiment, the method further includes:
step S110, monitoring the residual electric quantity of the intelligent sliding plate in real time;
step S120, calculating the feasible driving distance of the intelligent skateboard according to the current residual electric quantity of the intelligent skateboard, and feeding back the calculation result to a user;
and S130, outputting an electric quantity shortage prompt to a user when the monitored residual electric quantity of the current intelligent sliding plate is smaller than the preset electric quantity.
In this embodiment, the processor may also monitor the remaining power of the intelligent skateboard during the driving process, then calculate the travelable distance of the intelligent skateboard according to the current remaining power of the intelligent skateboard, and feed back the travelable distance of the intelligent skateboard to the user, so that the user can know the condition of the intelligent skateboard in real time; and when the residual capacity of intelligence slide is less than predetermineeing the electric quantity, to the warning that user output electric quantity is not enough to the user charges, avoids appearing that the sudden electric quantity of intelligence slide is not enough, and current position does not have chargeable equipment again, thereby influences user experience's the condition.
As shown in fig. 6, the control apparatus of the intelligent skateboard may include: a processor 1001, such as a CPU, and a memory 1002. Connection communication between these components may be realized by a communication bus. The memory 1002 may be a high-speed RAM memory or a non-volatile memory (e.g., a disk memory). The memory 1002 may alternatively be a storage device separate from the processor 1001.
Optionally, the control device of the smart skateboard may further include a user interface, a network interface, a camera, RF (radio frequency) circuitry, a sensor, audio circuitry, a WiFi module, and the like. The user interface may comprise a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface may also comprise a standard wired interface, a wireless interface. The network interface may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface).
Those skilled in the art will appreciate that the control device configuration of the intelligent skillet illustrated in FIG. 6 does not constitute a limitation on the control device of the intelligent skillet, and may include more or fewer components than illustrated, or some components in combination, or a different arrangement of components.
As shown in fig. 6, a memory 1002, which is a kind of computer storage medium, may include therein an operating system and a control program of the intelligent sled. The operating system is a program for managing and controlling the control equipment = hardware and software resources of the intelligent skateboard, and supports the operation of the control program of the intelligent skateboard and other software or programs.
In the control apparatus of the intelligent skateboard shown in fig. 6, the processor 1001 may be configured to execute a control program of the intelligent skateboard stored in the memory 1002 to implement the steps of:
acquiring a destination address and an initial address input by a user;
generating a plurality of driving routes according to the destination address and the starting address, and pushing the optimal driving route in the generated driving routes to a user;
and when an automatic driving instruction is detected, controlling the current intelligent sliding plate to automatically drive according to the optimal driving route.
Further, the processor 1001 may further execute a control program of the smart slider stored in the memory 1002 to implement the following steps:
calculating the driving time and the driving distance of each driving route;
adding a calculation weight to the driving time according to the driving distance, wherein the calculation weight is larger when the driving distance is longer;
and calculating the running time of each running route according to the added calculation weight, and pushing the running route with the shortest calculated weighted running time as an optimal running route to a user.
Further, the processor 1001 may further execute a control program of the smart slider stored in the memory 1002 to implement the following steps:
recording a traveled track according to a starting address and a destination address, and generating a traveled route according to the traveled track, wherein the traveled route comprises a road name sequence which is formed by the shape of the traveled track and the sequential passing of the intelligent skateboard in the process of traveling from the starting address to the destination address;
recording the running speed of the intelligent skateboard in the running process from the starting address to the destination address;
and taking the traveled route and the travel speed as a reference for generating the travel route.
Further, the processor 1001 may further execute a control program of the smart slider stored in the memory 1002 to implement the following steps:
recording road condition information of an automatic driving route according to the optimal driving route, wherein the road condition information comprises current road condition information of roads corresponding to the road names, and the current road condition information comprises current road traffic flow, current water accumulation, current construction state, current air quality and current traffic condition of the corresponding roads;
and taking the traveled route, the traveling speed and the road condition information as a reference for generating the traveling route.
Further, the processor 1001 may further execute a control program of the smart slider stored in the memory 1002 to implement the following steps:
monitoring the density of people and vehicles on roads which are not driven in the roads on which the selected optimal driving route passes in real time;
and in the driving process, the driving speed of the intelligent skateboard is changed according to the detected density of the people and the vehicles.
Further, the processor 1001 may further execute a control program of the smart slider stored in the memory 1002 to implement the following steps:
monitoring the residual electric quantity of the intelligent sliding plate in real time;
calculating the feasible driving distance of the intelligent skateboard through the current residual electric quantity of the intelligent skateboard, and feeding back the calculation result to a user;
when the residual capacity of the current intelligent skateboard is less than the preset capacity, the user is reminded that the output capacity is insufficient.
The specific embodiment of the control device of the intelligent skateboard of the present invention is basically the same as the embodiments of the control method of the intelligent skateboard, and is not described herein again.
The present invention provides a computer readable storage medium storing one or more programs, the one or more programs being executable by one or more processors to perform the steps of:
acquiring a destination address and an initial address input by a user;
generating a plurality of driving routes according to the destination address and the starting address, and pushing the optimal driving route in the generated driving routes to a user;
and when an automatic driving instruction is detected, controlling the current intelligent sliding plate to automatically drive according to the optimal driving route.
Further, the one or more programs are executable by the one or more processors to also implement the steps of:
calculating the driving time and the driving distance of each driving route;
adding a calculation weight to the driving time according to the driving distance, wherein the calculation weight is larger when the driving distance is longer;
and calculating the running time of each running route according to the added calculation weight, and pushing the running route with the shortest calculated weighted running time as an optimal running route to a user.
Further, the one or more programs are executable by the one or more processors to also implement the steps of:
recording a traveled track according to a starting address and a destination address, and generating a traveled route according to the traveled track, wherein the traveled route comprises a road name sequence which is formed by the shape of the traveled track and the sequential passing of the intelligent skateboard in the process of traveling from the starting address to the destination address;
recording the running speed of the intelligent skateboard in the running process from the starting address to the destination address;
and taking the traveled route and the travel speed as a reference for generating the travel route.
Further, the one or more programs are executable by the one or more processors to also implement the steps of:
recording road condition information of an automatic driving route according to the optimal driving route, wherein the road condition information comprises current road condition information of roads corresponding to the road names, and the current road condition information comprises current road traffic flow, current water accumulation, current construction state, current air quality and current traffic condition of the corresponding roads;
and taking the traveled route, the traveling speed and the road condition information as a reference for generating the traveling route.
Further, the one or more programs are executable by the one or more processors to also implement the steps of:
monitoring the density of people and vehicles on roads which are not driven in the roads on which the selected optimal driving route passes in real time;
and in the driving process, the driving speed of the intelligent skateboard is changed according to the detected density of the people and the vehicles.
Further, the one or more programs are executable by the one or more processors to also implement the steps of:
monitoring the residual electric quantity of the intelligent sliding plate in real time;
calculating the feasible driving distance of the intelligent skateboard through the current residual electric quantity of the intelligent skateboard, and feeding back the calculation result to a user;
when the residual capacity of the current intelligent skateboard is less than the preset capacity, the user is reminded that the output capacity is insufficient.
The specific embodiment of the computer-readable storage medium of the present invention is substantially the same as the embodiments of the control method of the intelligent skateboard and the control device of the intelligent skateboard, and will not be described herein again.
It should also be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (18)
- A control method of an intelligent skateboard, characterized by comprising the steps of:acquiring a destination address and an initial address input by a user;generating a plurality of driving routes according to the destination address and the starting address, and pushing the optimal driving route in the generated driving routes to a user;and when an automatic driving instruction is detected, controlling the current intelligent sliding plate to automatically drive according to the optimal driving route.
- The method for controlling an intelligent skateboard of claim 1, wherein the step of generating a plurality of driving routes according to the destination address and the start address and pushing an optimal driving route among the generated driving routes to the user comprises:calculating the driving time and the driving distance of each driving route;adding a calculation weight to the driving time according to the driving distance, wherein the calculation weight is larger when the driving distance is longer;and calculating the running time of each running route according to the added calculation weight, and pushing the running route with the shortest calculated weighted running time as an optimal running route to a user.
- The method for controlling an intelligent skateboard of claim 1, wherein the step of controlling the current intelligent skateboard after automatically traveling according to the optimal traveling route further comprises:recording a traveled track according to a starting address and a destination address, and generating a traveled route according to the traveled track, wherein the traveled route comprises a road name sequence which is formed by the shape of the traveled track and the sequential passing of the intelligent skateboard in the process of traveling from the starting address to the destination address;recording the running speed of the intelligent skateboard in the running process from the starting address to the destination address;and taking the traveled route and the travel speed as a reference for generating the travel route.
- The method for controlling an intelligent skateboard of claim 3, wherein the step of recording the traveling speed of the intelligent skateboard during traveling from the start address to the destination address further comprises:recording road condition information of an automatic driving route according to the optimal driving route, wherein the road condition information comprises current road condition information of roads corresponding to the road names, and the current road condition information comprises current road traffic flow, current water accumulation, current construction state, current air quality and current traffic condition of the corresponding roads;and taking the traveled route, the traveling speed and the road condition information as a reference for generating the traveling route.
- The method for controlling an intelligent skateboard of claim 1, wherein the step of controlling the current intelligent skateboard to automatically travel according to the optimal travel route when the automatic travel command is detected further comprises:monitoring the density of people and vehicles on roads which are not driven in the roads on which the selected optimal driving route passes in real time;and in the driving process, the driving speed of the intelligent skateboard is changed according to the detected density of the people and the vehicles.
- The method of controlling an intelligent skateboard of claim 1, further comprising:monitoring the residual electric quantity of the intelligent sliding plate in real time;calculating the feasible driving distance of the intelligent skateboard through the current residual electric quantity of the intelligent skateboard, and feeding back the calculation result to a user;when the residual capacity of the current intelligent skateboard is less than the preset capacity, the user is reminded that the output capacity is insufficient.
- The control equipment of the intelligent skateboard is characterized by comprising a processor and a memory, wherein a control program of the intelligent skateboard is stored in the memory; the processor is used for executing the control program of the intelligent skateboard to realize the following steps:acquiring a destination address and an initial address input by a user;generating a plurality of driving routes according to the destination address and the starting address, and pushing the optimal driving route in the generated driving routes to a user;and when an automatic driving instruction is detected, controlling the current intelligent sliding plate to automatically drive according to the optimal driving route.
- The control device of an intelligent skateboard of claim 7, wherein the processor is further configured to execute a control program of the intelligent skateboard to implement the steps of:calculating the driving time and the driving distance of each driving route;adding a calculation weight to the driving time according to the driving distance, wherein the calculation weight is larger when the driving distance is longer;and calculating the running time of each running route according to the added calculation weight, and pushing the running route with the shortest calculated weighted running time as an optimal running route to a user.
- The control device of an intelligent skateboard of claim 7, wherein the processor is further configured to execute a control program of the intelligent skateboard to implement the steps of:recording a traveled track according to a starting address and a destination address, and generating a traveled route according to the traveled track, wherein the traveled route comprises a road name sequence which is formed by the shape of the traveled track and the sequential passing of the intelligent skateboard in the process of traveling from the starting address to the destination address;recording the running speed of the intelligent skateboard in the running process from the starting address to the destination address;and taking the traveled route and the travel speed as a reference for generating the travel route.
- The control device of an intelligent skateboard of claim 7, wherein the processor is further configured to execute a control program of the intelligent skateboard to implement the steps of:recording road condition information of an automatic driving route according to the optimal driving route, wherein the road condition information comprises current road condition information of roads corresponding to the road names, and the current road condition information comprises current road traffic flow, current water accumulation, current construction state, current air quality and current traffic condition of the corresponding roads;and taking the traveled route, the traveling speed and the road condition information as a reference for generating the traveling route.
- The control device of an intelligent skateboard of claim 7, wherein the processor is further configured to execute a control program of the intelligent skateboard to implement the steps of:monitoring the density of people and vehicles on roads which are not driven in the roads on which the selected optimal driving route passes in real time;and in the driving process, the driving speed of the intelligent skateboard is changed according to the detected density of the people and the vehicles.
- The control device of an intelligent skateboard of claim 7, wherein the processor is further configured to execute a control program of the intelligent skateboard to implement the steps of:monitoring the residual electric quantity of the intelligent sliding plate in real time;calculating the feasible driving distance of the intelligent skateboard through the current residual electric quantity of the intelligent skateboard, and feeding back the calculation result to a user;when the residual capacity of the current intelligent skateboard is less than the preset capacity, the user is reminded that the output capacity is insufficient.
- A computer-readable storage medium storing one or more programs, the one or more programs being executable by one or more processors for performing the steps of:acquiring a destination address and an initial address input by a user;generating a plurality of driving routes according to the destination address and the starting address, and pushing the optimal driving route in the generated driving routes to a user;and when an automatic driving instruction is detected, controlling the current intelligent sliding plate to automatically drive according to the optimal driving route.
- The computer-readable storage medium recited in claim 13, wherein the one or more programs, executable by the one or more processors, further implement the steps of:calculating the driving time and the driving distance of each driving route;adding a calculation weight to the driving time according to the driving distance, wherein the calculation weight is larger when the driving distance is longer;and calculating the running time of each running route according to the added calculation weight, and pushing the running route with the shortest calculated weighted running time as an optimal running route to a user.
- The computer-readable storage medium recited in claim 13, wherein the one or more programs, executable by the one or more processors, further implement the steps of:recording a traveled track according to a starting address and a destination address, and generating a traveled route according to the traveled track, wherein the traveled route comprises a road name sequence which is formed by the shape of the traveled track and the sequential passing of the intelligent skateboard in the process of traveling from the starting address to the destination address;recording the running speed of the intelligent skateboard in the running process from the starting address to the destination address;and taking the traveled route and the travel speed as a reference for generating the travel route.
- The computer-readable storage medium recited in claim 13, wherein the one or more programs, executable by the one or more processors, further implement the steps of:recording road condition information of an automatic driving route according to the optimal driving route, wherein the road condition information comprises current road condition information of roads corresponding to the road names, and the current road condition information comprises current road traffic flow, current water accumulation, current construction state, current air quality and current traffic condition of the corresponding roads;and taking the traveled route, the traveling speed and the road condition information as a reference for generating the traveling route.
- The computer-readable storage medium recited in claim 13, wherein the one or more programs, executable by the one or more processors, further implement the steps of:monitoring the density of people and vehicles on roads which are not driven in the roads on which the selected optimal driving route passes in real time;and in the driving process, the driving speed of the intelligent skateboard is changed according to the detected density of the people and the vehicles.
- The computer-readable storage medium recited in claim 13, wherein the one or more programs, executable by the one or more processors, further implement the steps of:monitoring the residual electric quantity of the intelligent sliding plate in real time;calculating the feasible driving distance of the intelligent skateboard through the current residual electric quantity of the intelligent skateboard, and feeding back the calculation result to a user;when the residual capacity of the current intelligent skateboard is less than the preset capacity, the user is reminded that the output capacity is insufficient.
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/CN2017/082925 WO2018201355A1 (en) | 2017-05-03 | 2017-05-03 | Control method and device for intelligent scooter, and storage medium |
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| CN109791411A true CN109791411A (en) | 2019-05-21 |
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| CN201780061094.5A Pending CN109791411A (en) | 2017-05-03 | 2017-05-03 | Control method, equipment and the storage medium of intelligent slide plate |
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| WO (1) | WO2018201355A1 (en) |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101339042A (en) * | 2008-08-11 | 2009-01-07 | 肖禄生 | Personalized dynamic road condition information creation and navigation system |
| US20090043486A1 (en) * | 2007-07-27 | 2009-02-12 | Chaowei Yang | Near Real-time Traffic Routing |
| CN102840867A (en) * | 2011-06-21 | 2012-12-26 | 歌乐株式会社 | Route searching system and method based on commonly used route |
| US20130297211A1 (en) * | 2002-08-29 | 2013-11-07 | Itis Holdings Plc | Apparatus and method for providing traffic information |
| CN103390350A (en) * | 2012-05-07 | 2013-11-13 | 联想(北京)有限公司 | Method and system for determining vehicle running time and electronic device |
| US20140244171A1 (en) * | 2013-02-22 | 2014-08-28 | Quanta Computer Inc. | Navigation system and method |
| CN104616520A (en) * | 2014-05-09 | 2015-05-13 | 腾讯科技（深圳）有限公司 | Method and device for dynamically recording navigation trail |
| CN105573319A (en) * | 2015-12-25 | 2016-05-11 | 朱楷 | Intelligent trolley control system |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8958911B2 (en) * | 2012-02-29 | 2015-02-17 | Irobot Corporation | Mobile robot |
| CN102760276A (en) * | 2012-06-20 | 2012-10-31 | 山东大陆科技有限公司 | Robot ordering system and ordering method thereof |
| CN105136159A (en) * | 2015-09-18 | 2015-12-09 | 深圳市凯立德欣软件技术有限公司 | Van navigation method and van navigation device |
| CN106197459B (en) * | 2016-08-15 | 2019-05-21 | 浙江爱充网络科技有限公司 | Consider the electric car path optimization method of voyage and the station location that charges |
-
2017
- 2017-05-03 WO PCT/CN2017/082925 patent/WO2018201355A1/en active Application Filing
- 2017-05-03 CN CN201780061094.5A patent/CN109791411A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130297211A1 (en) * | 2002-08-29 | 2013-11-07 | Itis Holdings Plc | Apparatus and method for providing traffic information |
| US20090043486A1 (en) * | 2007-07-27 | 2009-02-12 | Chaowei Yang | Near Real-time Traffic Routing |
| CN101339042A (en) * | 2008-08-11 | 2009-01-07 | 肖禄生 | Personalized dynamic road condition information creation and navigation system |
| CN102840867A (en) * | 2011-06-21 | 2012-12-26 | 歌乐株式会社 | Route searching system and method based on commonly used route |
| CN103390350A (en) * | 2012-05-07 | 2013-11-13 | 联想(北京)有限公司 | Method and system for determining vehicle running time and electronic device |
| US20140244171A1 (en) * | 2013-02-22 | 2014-08-28 | Quanta Computer Inc. | Navigation system and method |
| CN104616520A (en) * | 2014-05-09 | 2015-05-13 | 腾讯科技（深圳）有限公司 | Method and device for dynamically recording navigation trail |
| CN105573319A (en) * | 2015-12-25 | 2016-05-11 | 朱楷 | Intelligent trolley control system |
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|---|---|
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