CN111785070A - Intelligent robot management method and system - Google Patents
Intelligent robot management method and system Download PDFInfo
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- CN111785070A CN111785070A CN202010621352.4A CN202010621352A CN111785070A CN 111785070 A CN111785070 A CN 111785070A CN 202010621352 A CN202010621352 A CN 202010621352A CN 111785070 A CN111785070 A CN 111785070A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/14—Traffic control systems for road vehicles indicating individual free spaces in parking areas
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/14—Traffic control systems for road vehicles indicating individual free spaces in parking areas
- G08G1/145—Traffic control systems for road vehicles indicating individual free spaces in parking areas where the indication depends on the parking areas
- G08G1/148—Management of a network of parking areas
Abstract
The invention provides an intelligent robot management method and system, wherein the method comprises the following steps: acquiring position coordinates of each parking space; determining the entrance priority of each parking space and the exit priority of the robot on the corresponding parking space; controlling the robot to park on the corresponding parking places according to the sequence of the driving-in priority; and controlling the robot to drive out of the corresponding parking spaces according to the sequence of the driving-out priority. The system comprises: the coordinate acquisition module is used for acquiring the position coordinates of each parking space; the priority confirming module is used for determining the driving-in priority and the driving-out priority of each parking space; the first driving-in control module is used for controlling the robot to park on the corresponding parking places according to the sequence of the driving-in priority; and the exit control module is used for controlling the robot to exit from the corresponding parking spaces according to the exit priority sequence. The method can uniformly manage the parking and charging of the robot, so that the robot can smoothly drive in and drive out, and the working process of the robot is prevented from being influenced.
Description
Technical Field
The invention relates to the technical field of robot transportation, in particular to an intelligent robot management method and system.
Background
The robot transport vehicle is a transport vehicle equipped with an electromagnetic or optical automatic navigation device, which can travel along a predetermined navigation path, and has safety protection and various transfer functions, or a transport vehicle which does not require a driver in industrial applications, and uses a rechargeable battery as a power source, and generally, a traveling path and behavior thereof can be controlled by a computer, or a traveling path thereof is established by an electromagnetic rail which is attached to a floor, and an unmanned transport vehicle moves and operates depending on information from the electromagnetic rail.
When the robot does not work or needs to be charged, the robot needs to be parked in a designated parking area or a designated charging area, and then the robot is driven out when the robot is to be restarted or charged, and for convenience and space saving, the parking area and the charging area of the robot are usually arranged together. However, when the existing robot is parked or charged, the robot is usually not uniformly controlled, that is, the robot is parked or charged irregularly and is often parked at will, the parking area of the robot is usually very narrow, and the charging time and the working time are different, which causes inconvenience when the robot is driven in or out, and affects the working efficiency. Therefore, a management method capable of uniformly managing parking and charging of the robot to ensure that the robot can drive in and out more smoothly is needed.
Disclosure of Invention
The invention aims to provide an intelligent robot management method and system, which can uniformly manage the parking and charging of a robot, so that the robot can drive in and out more smoothly, and the working process of the robot is prevented from being influenced.
The technical scheme provided by the invention is as follows:
the invention provides an intelligent robot management method, which comprises the following steps:
acquiring position coordinates of each parking space;
determining the entry priority of each parking space and the exit priority of the robot on the corresponding parking space according to the position coordinates;
controlling the robot to park on the corresponding parking places according to the sequence of the driving-in priority;
and controlling the robot to drive out of the corresponding parking spaces according to the sequence of the driving-out priority.
By acquiring the position coordinates of each robot parking space, the entrance priority of each parking space and the exit priority of the robot on the corresponding parking space can be determined according to the position coordinates and the entrance and exit positions of a parking area or a charging area, when the robot drives, the robot is controlled to be preferentially parked in the parking space with high entrance priority, and when the robot drives out, the robot on the parking space with high exit priority is controlled to be preferentially driven out, so that the robot can drive in and drive out more smoothly, and the working process of the robot is prevented from being influenced.
Specifically, the entry priority and the exit priority of each parking space are not fixed, and may be adjusted according to the actual geographic environment, for example, in a parking area with only one entrance, the innermost parking space has the highest entry priority, the exit priority of the robot in the parking space is the lowest, in a through parking area, the entry priority of the parking space in the middle is the highest, the exit priority of the robot in the parking space is the lowest, and generally speaking, the higher the entry priority is, the lower the exit priority of the robot in the corresponding parking space is.
Further, still include:
acquiring the number of the robots in the waiting area and corresponding electric quantity information, and determining the charging time of the robots;
when the number of the robots in the waiting area is one, controlling the robots to park in the parking spaces with the highest driving-in priority;
when the number of the robots in the waiting area is multiple, the robots are controlled to be parked on corresponding parking spaces according to the sequence of the driving-in priority according to the length of the charging time, and the robots with longer charging time are parked on the parking spaces with higher driving-in priority.
In a normal situation, the robots are parked according to the sequence of the driving-in priorities, but when the charging system is used in a charging scene of the robots, due to the fact that the electric quantity, the battery capacity, the charging time and the like of each robot are different, the robots cannot be parked according to the sequence of the driving-in priorities, otherwise the driving-out chaos still can be caused, the charging time of the robots is determined by obtaining the electric quantity information of the robots, when a plurality of robots are parked and charged simultaneously, the robots are controlled to be parked on corresponding parking spaces according to the sequence of the driving-in priorities according to the length of the charging time, the robots with longer charging time are parked on the parking spaces with higher driving-in priorities, and the reasonability of selection of the charging positions of the robots can be guaranteed.
Further, still include:
acquiring the number of the robots in the waiting area and corresponding working information, and determining the parking time required by the robots;
when the number of the robots in the waiting area is one, controlling the robots to park in the parking spaces with the highest driving-in priority;
when the number of the robots in the waiting area is multiple, controlling the robots to park in corresponding parking spaces according to the sequence of the driving-in priority according to the length of the parking time, and enabling the robots with longer parking time to park in the parking spaces with higher driving-in priority.
Under the normal condition, the robots are parked according to the sequence of the driving-in priority, but when the robot parking system is used in the working scene of the robot, the robots cannot be parked according to the sequence of the driving-in priority due to different working time, parking time and the like of each robot, otherwise, the driving-out chaos still can be caused, the parking time of the robot is determined by obtaining the working information of the robot, when a plurality of robots are parked simultaneously, the robots are controlled to be parked on corresponding parking spaces according to the sequence of the driving-in priority according to the length of the parking time, the robots with longer parking time are parked on the parking spaces with higher driving-in priority, and the rationality of the selection of the parking positions of the robots can be ensured.
Further, still include:
acquiring the occupation state of each parking space in real time, and displaying and updating the occupation state in real time through a server;
and receiving the inquiry information of the current parking space occupation state sent by the robot, and responding.
The occupation states of all parking spaces are acquired in real time, real-time display and updating are carried out through the server, when the robot approaches a parking area or is ready to run out, current parking space occupation state inquiry information is sent to the server, the server receives the information and responds, and if the occupation states of the parking spaces are sent to the robot in the form of an electronic map, the robot can know the parking condition of the area in advance, so that other parking areas can be selected when the robot parks in crowded conditions and the like.
Further, the determining the entry priority and the exit priority of each parking space further includes:
and determining the region entrance priority and the region exit priority of each region parking space.
When the robot is actually parked, for example, when the robot is used for charging or parking, the condition of each robot cannot be obtained in advance, that is, the charging time or parking time of each robot is unclear, at this time, parking spaces may be divided according to regions, the parking spaces in each region have different region entrance priorities and different region exit priorities, and when the robot is parked, different thresholds may be divided for the charging time or the parking time, and the robot is parked to the parking spaces in different regions according to the thresholds.
In addition, the present invention also provides an intelligent robot management system, comprising:
the coordinate acquisition module is used for acquiring the position coordinates of each parking space;
the priority confirming module is used for determining the driving-in priority of each parking space and the driving-out priority of the robot on the corresponding parking space according to the position coordinates;
the first driving-in control module is used for controlling the robot to park in the corresponding parking spaces according to the driving-in priority sequence;
and the exit control module is used for controlling the robot to exit from the corresponding parking spaces according to the exit priority sequence.
The position coordinates of the parking spaces of the robots are obtained through the coordinate obtaining module, so that the entrance priority of each parking space and the exit priority of the robots on the corresponding parking spaces can be determined according to the position coordinates, the entrance positions and the exit positions of the parking areas or the charging areas, when the robots are driven, the robots can be controlled to be preferentially parked at the parking spaces with high entrance priority through the first entrance control module, and when the robots are driven out, the robots on the parking spaces with high exit priority can be controlled to be preferentially driven out through the exit control module, so that the robots can be driven in and driven out more smoothly, and the working process of the robots is prevented from being influenced.
Further, still include:
the electric quantity acquisition module is used for acquiring the number of the robots in the waiting area and corresponding electric quantity information and determining the charging time of the robots;
the second driving-in control module is used for controlling the robots to be parked on the parking spaces with the highest driving-in priority when the number of the robots in the waiting area is one; or when the number of the robots in the waiting area is multiple, controlling the robots to park in corresponding parking spaces according to the sequence of the driving-in priority according to the length of the charging time, and enabling the robots with longer charging time to park in the parking spaces with higher driving-in priority.
Under the normal condition, the robots are parked according to the sequence of the driving-in priorities, but when the robot charging system is used in a charging scene of the robot, due to the fact that the electric quantity, the battery capacity, the charging time and the like of each robot are different, the robot cannot be parked according to the sequence of the driving-in priorities, otherwise the driving-out chaos can still be caused, therefore, the electric quantity information of the robot is obtained through the electric quantity obtaining module, the charging time of the robot can be determined, when a plurality of robots are parked and charged simultaneously, the robots are controlled to be parked on corresponding parking spaces according to the sequence of the driving-in priorities according to the length of the charging time, the robots with longer charging time are parked on the parking spaces with higher driving-in priorities, and the reasonability of selecting the charging positions of the robots can be guaranteed.
Further, still include:
the work information acquisition module is used for acquiring the number of the robots in the waiting area and corresponding work information and determining the parking time required by the robots;
the third driving-in control module is used for controlling the robots to be parked on the parking spaces with the highest driving-in priority when the number of the robots in the waiting area is one; or when the number of the robots in the waiting area is multiple, controlling the robots to park in corresponding parking spaces according to the sequence of the driving-in priority according to the length of the parking time, and enabling the robots with longer parking time to park in the parking spaces with higher driving-in priority.
Under the normal condition, the robots are parked according to the sequence of the driving-in priority, but when the robot parking system is used in the working scene of the robots, the robots cannot be parked according to the sequence of the driving-in priority due to different working time, parking time and the like of each robot, otherwise, the driving-out chaos still can be caused, and the working information of the robots is obtained, so that the parking time of the robots can be determined through the working information obtaining module, when a plurality of robots are parked simultaneously, the robots are controlled to be parked on corresponding parking spaces according to the sequence of the driving-in priority according to the length of the parking time, the robots with longer parking time are parked on the parking spaces with higher driving-in priority, and the rationality of selecting the parking positions of the robots can be ensured.
Further, still include:
the display module is used for acquiring the occupation state of each parking space in real time, and displaying and updating the occupation state in real time through the server;
and the receiving module is used for receiving the inquiry information of the current parking space occupation state sent by the robot and responding.
The occupation states of all parking spaces are acquired in real time, real-time display and updating are carried out through the server, when the robot approaches a parking area or is ready to run out, current parking space occupation state inquiry information is sent to the server, the server receives the information through the receiving module and responds, and if the occupation states of the parking spaces are sent to the robot in the form of an electronic map, the robot can know the parking condition of the area in advance, so that other parking areas can be selected when the robot parks in crowded conditions and the like.
Further, the priority confirmation module further comprises:
and the region priority confirming unit is used for determining the region driving-in priority and the region driving-out priority of each region parking space.
When the robot is actually parked, for example, when the robot is used for charging or parking, the condition of each robot cannot be obtained in advance, that is, the charging duration or parking duration of each robot is unclear, at this time, the parking spaces can be divided according to the regions by the region priority determining unit, the parking spaces in each region have different region entrance priorities and different region exit priorities, and when the robot is parked, different thresholds can be divided for the charging duration or the parking duration, and the robot can be parked in the parking spaces in different regions according to the thresholds.
According to the intelligent management method and system for the robot, provided by the invention, the position coordinates of the parking spaces of the robot are obtained, so that the entrance priority of each parking space and the exit priority of the robot on the corresponding parking space can be determined according to the position coordinates, the entrance positions and the exit positions of the parking area or the charging area, and the like, when the robot drives, the robot is controlled to be preferentially parked in the parking space with high entrance priority, and when the robot drives out, the robot on the parking space with high exit priority is controlled to be preferentially driven out, so that the driving in and the driving out of the robot are smoother, and the working process of the robot is prevented from being influenced.
Drawings
The foregoing features, technical features, advantages and embodiments of the present invention will be further explained in the following detailed description of the preferred embodiments, which is to be read in connection with the accompanying drawings.
FIG. 1 is a schematic flow diagram of one embodiment of the present invention;
FIG. 2 is a schematic flow diagram of another embodiment of the present invention;
FIG. 3 is a schematic flow chart of yet another embodiment of the present invention;
fig. 4 is a schematic structural diagram of a robot intelligent management system according to an embodiment of the present invention.
Reference numbers in the figures: 1-a coordinate acquisition module; 2-priority confirmation module; 3-a first driving-in control module; 4-exit control module; 5-an electric quantity obtaining module; 6-a second driving-in control module; 7-a working information acquisition module; 8-a third driving-in control module; 9-a display module; 10-a receiving module; 11-region priority acknowledgement unit.
Detailed Description
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following will illustrate specific embodiments of the present invention with reference to the drawings. It is obvious that the drawings in the following description are only some examples of the invention, and that for a person skilled in the art, other drawings and embodiments can be derived from them without inventive effort.
For the sake of simplicity, the drawings only schematically show the parts relevant to the present invention, and they do not represent the actual structure as a product. In addition, in order to make the drawings concise and understandable, components having the same structure or function in some of the drawings are only schematically illustrated or only labeled. In this document, "one" means not only "only one" but also a case of "more than one".
Example 1
One embodiment of the present invention, as shown in fig. 1, provides a robot intelligent management method, including the steps of:
and S1, acquiring the position coordinates of each parking space.
Specifically, the parking lot management method includes acquiring a map of a parking area, an entrance position, a position of each parking space, and the like, and meanwhile, in order to facilitate management, a corresponding number can be set for each parking space.
And S2, determining the driving-in priority of each parking space and the driving-out priority of the robot on the corresponding parking space according to the position coordinates.
Specifically, the entry priority and the exit priority of each parking space are not fixed, and may be adjusted according to the actual geographic environment, for example, in a parking area with only one entrance, the innermost parking space has the highest entry priority, the robot in the parking space has the lowest exit priority, in a through parking area, the parking space in the middle has the highest entry priority, and the robot in the parking space has the lowest exit priority, and generally speaking, a parking space with a higher entry priority has a lower exit priority of the robot in the corresponding parking space.
And S3, controlling the robot to park in the corresponding parking spaces according to the sequence of the driving-in priority, namely controlling the robot to park preferentially in the parking spaces with high driving-in priority, such as the innermost parking space.
And S4, controlling the robot to drive out from the corresponding parking spaces according to the sequence of the driving-out priority, namely controlling the robot on the parking space with the high driving-out priority to drive out preferentially, for example, controlling the robot on the outermost parking space to drive out preferentially.
By acquiring the position coordinates of each robot parking space, the entrance priority of each parking space and the exit priority of the robot on the corresponding parking space can be determined according to the position coordinates and the entrance and exit positions of a parking area or a charging area, when the robot drives, the robot is controlled to be preferentially parked in the parking space with high entrance priority, and when the robot drives out, the robot on the parking space with high exit priority is controlled to be preferentially driven out, so that the robot can drive in and drive out more smoothly, and the working process of the robot is prevented from being influenced.
Example 2
An embodiment of the present invention, as shown in fig. 2, provides a robot intelligent management method based on embodiment 1, including the steps of:
and S1, acquiring the position coordinates of each parking space.
Specifically, the parking lot management method includes acquiring a map of a parking area, an entrance position, a position of each parking space, and the like, and meanwhile, in order to facilitate management, a corresponding number can be set for each parking space.
And S2, determining the driving-in priority of each parking space and the driving-out priority of the robot on the corresponding parking space according to the position coordinates.
Specifically, the entry priority and the exit priority of each parking space are not fixed, and may be adjusted according to the actual geographic environment, for example, in a parking area with only one entrance, the innermost parking space has the highest entry priority, the exit priority of the robot in the parking space is the lowest, in a through parking area, the entry priority of the parking space in the middle is the highest, the exit priority of the robot in the parking space is the lowest, and generally speaking, the higher the entry priority is, the lower the exit priority of the robot in the corresponding parking space is.
And S5, acquiring the number of the robots in the waiting area and corresponding electric quantity information, and determining the charging time of the robots.
The electric quantity information comprises the current electric quantity, the battery capacity, the charging efficiency and other information of the robot, and the charging time of the robot can be calculated through the electric quantity information of the robot.
S6, when the number of the robots in the waiting area is one, controlling the robots to park in the parking spaces with the highest driving priority; when the number of the robots in the waiting area is multiple, the robots are controlled to be parked on corresponding parking spaces according to the sequence of the driving-in priority according to the length of the charging time, and the robots with longer charging time are parked on the parking spaces with higher driving-in priority.
In a normal situation, the robots park according to the sequence of the driving-in priorities, but when the robot is used in a charging scene of the robot, the robots cannot park according to the sequence of the driving-in priorities due to different electric quantity, battery capacity, charging time and the like, otherwise, the driving-out chaos still can be caused, the charging time of the robots is determined by acquiring the electric quantity information of the robots, when a plurality of robots park and charge simultaneously, the robots are controlled to park in corresponding parking spaces according to the sequence of the driving-in priorities according to the length of the charging time, the robots with longer charging time park in the parking spaces with higher driving-in priorities, and the reasonability of the selection of the charging positions of the robots can be ensured.
Example 3
An embodiment of the present invention, as shown in fig. 3, provides a robot intelligent management method based on embodiment 1, including the steps of:
and S1, acquiring the position coordinates of each parking space.
Specifically, the parking lot management method includes acquiring a map of a parking area, an entrance position, a position of each parking space, and the like, and meanwhile, in order to facilitate management, a corresponding number can be set for each parking space.
And S2, determining the driving-in priority of each parking space and the driving-out priority of the robot on the corresponding parking space according to the position coordinates.
Specifically, the entry priority and the exit priority of each parking space are not fixed, and may be adjusted according to the actual geographic environment, for example, in a parking area with only one exit/entrance, the entry priority of the innermost parking space is the highest, the exit priority of the robot corresponding to the parking space is the lowest, and in a through parking area, the entry priority of the middle parking space is the highest, and the exit priority of the robot corresponding to the parking space is the lowest, in general, the higher the entry priority is, the lower the exit priority of the robot corresponding to the parking space is.
And S7, acquiring the number of the robots and corresponding work information, and determining the parking time required by the robots.
The working information of the robot comprises working time, departure time and the like, and the parking time of the robot in the parking area can be calculated and obtained through the working information of the robot.
S8, when the number of the robots in the waiting area is one, controlling the robots to park in the parking spaces with the highest driving priority; when the number of the robots in the waiting area is multiple, the robots are controlled to park in corresponding parking spaces according to the sequence of the driving-in priority according to the parking time, so that the robots with longer parking time are parked in the parking spaces with higher driving-in priority.
Under the normal condition, the robots are parked according to the sequence of the driving-in priority, but when the robot parking system is used in the working scene of the robot, the robots cannot be parked according to the sequence of the driving-in priority due to different working time, parking time and the like of each robot, otherwise, the driving-out chaos can still be caused, the parking time of the robot is determined by obtaining the working information of the robots, when a plurality of robots are parked simultaneously, the robots are controlled to be parked on corresponding parking spaces according to the sequence of the driving-in priority according to the length of the parking time, the robots with longer parking time are parked on the parking spaces with higher driving-in priority, and the reasonability of the selection of the parking positions of the robots can be ensured.
Example 4
On the basis of any one of the above embodiments, the method further comprises the steps of acquiring the occupation state of each parking space in real time, and displaying and updating the occupation state in real time through the server; and receiving the inquiry information of the current parking space occupation state sent by the robot, and responding.
The occupation states of all parking spaces are acquired in real time, real-time display and updating are carried out through the server, when the robot approaches a parking area or is ready to run out, current parking space occupation state inquiry information is sent to the server, the server receives the information and responds, and if the occupation states of the parking spaces are sent to the robot in the form of an electronic map, the robot can know the parking condition of the area in advance, so that other parking areas can be selected when the robot parks in crowded conditions and the like.
Preferably, determining the entry priority and the exit priority of each parking space further includes: and determining the region entrance priority and the region exit priority of each region parking space.
When the robot is actually parked, for example, when the robot is used for charging or parking, the condition of each robot cannot be obtained in advance, that is, the charging time or parking time of each robot is unclear, at this time, parking spaces may be divided according to regions, the parking spaces in each region have different region entrance priorities and different region exit priorities, and when the robot is parked, different thresholds may be divided for the charging time or the parking time, and the robot is parked to the parking spaces in different regions according to the thresholds.
Example 5
In an embodiment of the present invention, as shown in fig. 4, the present invention further provides an intelligent robot management system, which includes a coordinate obtaining module 1, a priority confirming module 2, a first entering control module 3, and a exiting control module 4.
The coordinate acquisition module 1 is used for acquiring position coordinates of each parking space; the priority confirming module 2 is used for determining the entrance priority of each parking space and the exit priority of the robot on the corresponding parking space according to the position coordinates; the first driving-in control module 3 is used for controlling the robot to park in the corresponding parking spaces according to the driving-in priority sequence; and the exit control module 4 is used for controlling the robot to exit from the corresponding parking spaces according to the exit priority.
Specifically, the entry priority and the exit priority of each parking space are not fixed, and may be adjusted according to the actual geographic environment, for example, in a parking area with only one entrance, the innermost parking space has the highest entry priority, the robot in the parking space has the lowest exit priority, and in a through parking area, the middle parking space has the highest entry priority, the robot in the parking space has the lowest exit priority, and generally speaking, a parking space with a higher entry priority is lower than the exit priority of the robot in the corresponding parking space.
The position coordinates of each robot parking space are acquired through the coordinate acquisition module 1, so that the entrance priority of each parking space and the exit priority of the robot on the corresponding parking space can be determined according to the position coordinates, the entrance and exit positions of a parking area or a charging area, and the like, when the robot enters, the robot can be controlled to preferentially park in the parking space with high entrance priority through the first entrance control module 3, and when the robot exits, the robot on the parking space with high exit priority can be controlled to preferentially exit through the exit control module 4, so that the robot can more smoothly enter and exit, and the working process of the robot is prevented from being influenced.
Example 6
As shown in fig. 4, an embodiment of the present invention further includes an electric quantity obtaining module 5 and a second entry control module 6 on the basis of embodiment 5.
The electric quantity obtaining module 5 is used for obtaining the number of the robots in the waiting area and corresponding electric quantity information and determining the charging time of the robots; the second driving-in control module 6 is used for controlling the robots to park in the parking spaces with the highest driving-in priority when the number of the robots in the waiting area is one; or when the number of the robots in the waiting area is multiple, controlling the robots to park in the corresponding parking spaces according to the sequence of the driving-in priority according to the length of the charging time, and enabling the robots with longer charging time to park in the parking spaces with higher driving-in priority.
Under the normal condition, the robots are parked according to the sequence of the driving-in priorities, but when the robot charging system is used in a charging scene of the robot, due to the fact that the electric quantity, the battery capacity, the charging time and the like of each robot are different, the robot cannot be parked according to the sequence of the driving-in priorities, otherwise the driving-out chaos can still be caused, therefore, the electric quantity information of the robot is obtained through the electric quantity obtaining module 5, the charging time of the robot can be determined, when a plurality of robots are parked and charged simultaneously, the robots are controlled to be parked on corresponding parking spaces according to the sequence of the driving-in priorities according to the length of the charging time, the robots with longer charging time are parked on the parking spaces with higher driving-in priorities, and the reasonability of selecting the charging positions of the robots can be guaranteed.
Example 7
As shown in fig. 4, an embodiment of the present invention further includes a working information obtaining module 7 and a third entry control module 8 on the basis of embodiment 5.
The work information acquisition module 7 is used for acquiring the number of the robots in the waiting area and corresponding work information and determining the parking time required by the robots; the third driving-in control module 8 is used for controlling the robots to park in the parking spaces with the highest driving-in priority when the number of the robots in the waiting area is one; or when the number of the robots in the waiting area is multiple, controlling the robots to park in the corresponding parking spaces according to the sequence of the driving-in priority according to the parking time, and enabling the robots with longer parking time to park in the parking spaces with higher driving-in priority.
Under the normal condition, the robots are parked according to the sequence of the driving-in priority, but when the robot parking system is used in the working scene of the robots, the robots cannot be parked according to the sequence of the driving-in priority due to different working time, parking time and the like of each robot, otherwise, the driving-out chaos still can be caused, and the working information of the robots is obtained, so that the parking time of the robots can be determined through the working information obtaining module 7, when a plurality of robots are parked simultaneously, the robots are controlled to be parked on corresponding parking spaces according to the sequence of the driving-in priority according to the length of the parking time, the robots with longer parking time are parked on the parking spaces with higher driving-in priority, and the rationality of the selection of the parking positions of the robots can be ensured.
Example 8
An embodiment of the present invention, as shown in fig. 4, further includes a display module 9 and a receiving module 10 on the basis of any of embodiments 5 to 7.
The display module 9 is used for acquiring the occupation state of each parking space in real time, and displaying and updating the occupation state in real time through the server; the receiving module 10 is used for inquiring the current parking space occupation state sent by the robot and responding.
The occupation states of all parking spaces are acquired in real time, real-time display and updating are carried out through the server, when the robot approaches a parking area or is ready to run out, current parking space occupation state inquiry information is sent to the server, the server receives the information through the receiving module and responds, and if the occupation states of the parking spaces are sent to the robot in the form of an electronic map, the robot can know the parking condition of the area in advance, so that other parking areas can be selected when the robot parks in crowded conditions and the like.
Preferably, the priority confirmation module 2 further includes a region priority confirmation unit 11, and the region priority confirmation unit 11 is configured to determine a region entry priority and a region exit priority of each region parking space.
When the robot is actually parked, for example, when the robot is used for charging or parking, the condition of each robot cannot be obtained in advance, that is, the charging duration or parking duration of each robot is unclear, at this time, the parking spaces can be divided according to the regions by the region priority determining unit, the parking spaces in each region have different region entrance priorities and different region exit priorities, and when the robot is parked, different thresholds can be divided for the charging duration or the parking duration, and the robot can be parked in the parking spaces in different regions according to the thresholds.
It should be noted that the above embodiments can be freely combined as necessary. The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (10)
1. An intelligent robot management method is characterized by comprising the following steps:
acquiring position coordinates of each parking space;
determining the entry priority of each parking space and the exit priority of the robot on the corresponding parking space according to the position coordinates;
controlling the robot to park on the corresponding parking spaces according to the sequence of the driving-in priority;
and controlling the robot to drive out of the corresponding parking spaces according to the sequence of the driving-out priority.
2. The intelligent robot management method according to claim 1, further comprising:
acquiring the number of the robots in the waiting area and corresponding electric quantity information, and determining the charging time of each robot;
when the number of the robots in the waiting area is one, controlling the robots to park in the parking spaces with the highest driving-in priority;
when the number of the robots in the waiting area is multiple, the robots are controlled to be parked on corresponding parking spaces according to the sequence of the driving-in priority according to the length of the charging time, and the robots with longer charging time are parked on the parking spaces with higher driving-in priority.
3. The intelligent robot management method according to claim 1, further comprising:
acquiring the number of the robots in the waiting area and corresponding working information, and determining the parking time required by the robots;
when the number of the robots in the waiting area is one, controlling the robots to park in the parking spaces with the highest driving-in priority;
and when the number of the robots in the waiting area is multiple, controlling the robots to park in corresponding parking spaces according to the sequence of the driving-in priority according to the length of the parking time, so that the robots with longer parking time park in the parking spaces with higher driving-in priority.
4. The intelligent robot management method according to claim 1, further comprising:
acquiring the occupation state of each parking space in real time, and displaying and updating the occupation state in real time through a server;
and receiving the inquiry information of the current parking space occupation state sent by the robot, and responding.
5. The method as claimed in claim 1, wherein said determining the entry priority and exit priority of each space further comprises:
and determining the region entrance priority and the region exit priority of each region parking space.
6. A robot intelligent management system, comprising:
the coordinate acquisition module is used for acquiring the position coordinates of each parking space;
the priority confirming module is used for determining the driving-in priority of each parking space and the driving-out priority of the robot on the corresponding parking space according to the position coordinates;
the first driving-in control module is used for controlling the robot to park in the corresponding parking spaces according to the sequence of the driving-in priority;
and the exit control module is used for controlling the robot to exit from the corresponding parking spaces according to the exit priority sequence.
7. The system of claim 6, further comprising:
the electric quantity acquisition module is used for acquiring the number of the robots in the waiting area and corresponding electric quantity information and determining the charging time of the robots;
the second driving-in control module is used for controlling the robots to park in the parking spaces with the highest driving-in priority when the number of the robots in the waiting area is one; or when the number of the robots in the waiting area is multiple, controlling the robots to park in corresponding parking spaces according to the sequence of the driving-in priority according to the length of the charging time, and enabling the robots with longer charging time to park in the parking spaces with higher driving-in priority.
8. The system of claim 6, further comprising:
the work information acquisition module is used for acquiring the number of the robots in the waiting area and corresponding work information and determining the parking time required by the robots;
the third driving-in control module is used for controlling the robots to park in the parking spaces with the highest driving-in priority when the number of the robots in the waiting area is one; or when the number of the robots in the waiting area is multiple, controlling the robots to park in corresponding parking spaces according to the sequence of the driving-in priority according to the length of the parking time, and enabling the robots with longer parking time to park in the parking spaces with higher driving-in priority.
9. The system of claim 6, further comprising:
the display module is used for acquiring the occupation state of each parking space in real time and displaying and updating the occupation state in real time through the server;
and the receiving module is used for receiving the inquiry information of the current parking space occupation state sent by the robot and responding.
10. The system of claim 6, wherein the priority confirmation module further comprises:
and the region priority confirming unit is used for determining the region entrance priority and the region exit priority of each region parking space.
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