CN113838136A - Multi-stage conditioning system utilizing cloud storage - Google Patents
Multi-stage conditioning system utilizing cloud storage Download PDFInfo
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- CN113838136A CN113838136A CN202111213096.6A CN202111213096A CN113838136A CN 113838136 A CN113838136 A CN 113838136A CN 202111213096 A CN202111213096 A CN 202111213096A CN 113838136 A CN113838136 A CN 113838136A
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Abstract
The invention relates to a multilevel regulating system utilizing cloud storage, which comprises: the intelligent robot system comprises a driving control component, a control component and a control component, wherein the driving control component is arranged in an intelligent robot for executing hotel service operation and used for driving the intelligent robot to walk based on the current positioning information of the intelligent robot and the address information of the current set task of the intelligent robot; and the opening detection mechanism is used for sending a signal for allowing the elevator to enter when the detected sub-picture which is out of matching limit with the standard imaging picture in the received signal filtering image is at the central position of the signal filtering image. The multi-stage regulation system utilizing cloud storage is intelligent in design and wide in application. The intelligent robot for executing the hotel service operation can be aligned with the elevator opening to be entered in a high-precision mode by introducing a three-stage alignment mode which is designed in a targeted mode into the intelligent robot for executing the hotel service operation, so that the application field of the intelligent robot is effectively expanded.
Description
Technical Field
The invention relates to the field of cloud storage, in particular to a multistage adjusting system utilizing cloud storage.
Background
Cloud storage is a new concept that has been extended and evolved over the concept of cloud computing (cloud computing). Cloud Computing is a development of Distributed processing (Distributed Computing), Parallel processing (Parallel Computing) and Grid Computing (Grid Computing), and is a method of automatically splitting a huge Computing processing program into numerous smaller sub-programs through a network, and then returning a processing result to a user after Computing and analyzing the huge system composed of a plurality of servers. Through the cloud computing technology, a network service provider can process tens of millions or even hundreds of millions of information within seconds to achieve the same powerful network service as a super computer.
The concept of cloud storage is similar to that of cloud computing, and refers to a system which integrates a large number of storage devices of different types in a network through application software to cooperatively work through functions such as cluster application, a grid technology or a distributed file system, and provides data storage and service access functions to the outside, so that the safety of data is ensured, and the storage space is saved. Briefly, cloud storage is an emerging solution for putting storage resources on the cloud for human access. The user can conveniently access data at any time and any place through connecting to the cloud through any internet-connected device. If so interpreted, one can borrow the structure of the wide area network and the internet to interpret cloud storage.
At present, for an intelligent robot executing hotel service operation, except for various technical points needing solutions such as accurate analysis of task contents, setting of a driving route, searching of a service target and the like, the most difficult bottleneck for limiting robot application is that the robot enters an elevator too early, the elevator is not completely opened, the elevator enters too late, the elevator is closed, the position of the robot does not correspond to an elevator opening, and various accidents of collision with the elevator opening are easy to occur.
Disclosure of Invention
In order to solve the technical problems in the related field, the invention provides a multi-stage adjusting system utilizing cloud storage, which can introduce a purposefully designed three-stage alignment mode into an intelligent robot for executing hotel service operation to realize high-precision alignment of the intelligent robot for executing the hotel service operation and an elevator opening to be accessed, thereby solving the bottleneck of the application of the intelligent robot.
Therefore, the present invention needs to have at least two important points:
(1) the three-level alignment mode of searching an elevator entrance, entering an elevator waiting area in front of the elevator entrance and aligning with an elevator opening is adopted to realize the hierarchical positioning of the intelligent robot for executing the hotel directional service task, so that the intelligent robot can accurately grasp the opportunity of entering the elevator;
(2) and performing customized visualization judgment on whether the intelligent robot is aligned with the elevator opening or not based on whether the elevator opening in the front image of the intelligent robot is in the central position of the image after the targeted processing.
According to an aspect of the present invention, there is provided a multi-stage regulation system using cloud storage, the system including:
and the driving control component is arranged in the intelligent robot for executing hotel service operation and used for driving the intelligent robot to walk based on the current positioning information of the intelligent robot and the address information of the current set task of the intelligent robot.
More specifically, in the multistage adjustment system using cloud storage, the system further includes:
and the field positioning component is arranged in the intelligent robot, is connected with the running control component and is used for providing the current positioning information of the intelligent robot for the running control component.
More specifically, in the multistage adjustment system using cloud storage, the system further includes:
the task setting component is arranged behind a touch display screen of the intelligent robot, is respectively connected with the touch display screen and the driving control component, and is used for acquiring a current set task of the intelligent robot based on the operation of an operator on the touch display screen, wherein the current set task comprises address information, service content and service time;
the position judging mechanism is connected with the running control part and used for sending a fine adjustment signal when judging that the position corresponding to the current positioning information of the intelligent robot is in a waiting area of an elevator in front of an elevator entrance;
the full-color video recording component is arranged above the touch display screen of the intelligent robot, is connected with the position judging mechanism and is used for executing full-color video recording action on the front environment of the intelligent robot when receiving the fine adjusting signal so as to obtain a full-color video recording frame corresponding to the current timestamp;
the content conversion mechanism is arranged in the intelligent robot, is connected with the full-color video recording part and is used for executing affine transformation processing on the received full-color video recording frame so as to obtain a corresponding content conversion image;
a range adjusting mechanism connected with the content transforming mechanism and used for executing dynamic range adjusting processing on the received content transforming image to obtain a corresponding range adjusting image;
the signal filtering mechanism is connected with the range adjusting mechanism and used for executing image signal filtering processing in a smooth space mode on the received range adjusting image so as to obtain a corresponding signal filtering image;
the cloud storage node is used for storing a standard imaging picture corresponding to the opening of the hotel elevator, and the standard imaging picture is an imaging picture which is shot by the hotel elevator in an open state and only comprises the opening of the elevator;
the opening detection mechanism is respectively connected with the signal filtering mechanism and the cloud storage node and is used for sending a signal for allowing elevator entering when a detected sub-picture which is in the received signal filtering image and exceeds the matching degree of the standard imaging picture is in the central position of the signal filtering image;
the opening detection mechanism is further used for sending a position adjusting signal when the detected sub-picture which is out of matching limit with the standard imaging picture in the received signal filtering image is not in the central position of the signal filtering image;
the driving control component is further connected with the opening detection mechanism and used for continuously driving the intelligent robot to walk until a signal for allowing the intelligent robot to enter the elevator is received from the opening detection mechanism when the position adjusting signal is received.
The multi-stage regulation system utilizing cloud storage is intelligent in design and wide in application. The intelligent robot for executing the hotel service operation can be aligned with the elevator opening to be entered in a high-precision mode by introducing a three-stage alignment mode which is designed in a targeted mode into the intelligent robot for executing the hotel service operation, so that the application field of the intelligent robot is effectively expanded.
Detailed Description
Embodiments of the multi-stage conditioning system using cloud storage according to the present invention will be described in detail below.
An elevator is a permanent transport device serving a number of specific floors in a building, the cars of which travel in at least two rigid tracks perpendicular to the horizontal or inclined at an angle of less than 15 ° to the vertical. There are also steps, where the tread plates are mounted on a track for continuous operation, commonly known as escalators or moving walkways. A fixed elevator apparatus serving a predetermined floor. The vertical lift elevator has a car that runs between at least two vertical rows of rigid guide rails or guide rails with an angle of inclination of less than 15 °. The size and the structural form of the car are convenient for passengers to access or load and unload goods.
It is customary to use elevators as a generic term for vertical transport means in buildings, irrespective of their drive mode. According to the speed, the elevator can be divided into a low-speed elevator (below 4 m/s), a high-speed elevator (4-12 m/s) and a high-speed elevator (above 12 m/s). The hydraulic elevator appears in the middle of the 19 th century and is still applied to low-rise buildings. In 1852, e.g. austs in the united states developed a safety hoist for wire rope hoisting. In the 80 s, further improvements were made to the drive means, such as motors driving the winding drum via a worm drive, the use of counterweights, etc. At the end of the 19 th century, friction wheel transmission is adopted, and the lifting height of the elevator is greatly increased.
At present, for an intelligent robot executing hotel service operation, except for various technical points needing solutions such as accurate analysis of task contents, setting of a driving route, searching of a service target and the like, the most difficult bottleneck for limiting robot application is that the robot enters an elevator too early, the elevator is not completely opened, the elevator enters too late, the elevator is closed, the position of the robot does not correspond to an elevator opening, and various accidents of collision with the elevator opening are easy to occur.
In order to overcome the defects, the invention builds a multi-stage adjusting system utilizing cloud storage, and can effectively solve the corresponding technical problem.
The multi-stage regulation system using cloud storage according to an embodiment of the present invention includes:
and the driving control component is arranged in the intelligent robot for executing hotel service operation and used for driving the intelligent robot to walk based on the current positioning information of the intelligent robot and the address information of the current set task of the intelligent robot.
Next, a detailed structure of the multistage adjustment system using cloud storage according to the present invention will be further described.
The multi-stage regulation system utilizing cloud storage may further include:
and the field positioning component is arranged in the intelligent robot, is connected with the running control component and is used for providing the current positioning information of the intelligent robot for the running control component.
The multi-stage regulation system utilizing cloud storage may further include:
the task setting component is arranged behind a touch display screen of the intelligent robot, is respectively connected with the touch display screen and the driving control component, and is used for acquiring a current set task of the intelligent robot based on the operation of an operator on the touch display screen, wherein the current set task comprises address information, service content and service time;
the position judging mechanism is connected with the running control part and used for sending a fine adjustment signal when judging that the position corresponding to the current positioning information of the intelligent robot is in a waiting area of an elevator in front of an elevator entrance;
the full-color video recording component is arranged above the touch display screen of the intelligent robot, is connected with the position judging mechanism and is used for executing full-color video recording action on the front environment of the intelligent robot when receiving the fine adjusting signal so as to obtain a full-color video recording frame corresponding to the current timestamp;
the content conversion mechanism is arranged in the intelligent robot, is connected with the full-color video recording part and is used for executing affine transformation processing on the received full-color video recording frame so as to obtain a corresponding content conversion image;
a range adjusting mechanism connected with the content transforming mechanism and used for executing dynamic range adjusting processing on the received content transforming image to obtain a corresponding range adjusting image;
the signal filtering mechanism is connected with the range adjusting mechanism and used for executing image signal filtering processing in a smooth space mode on the received range adjusting image so as to obtain a corresponding signal filtering image;
the cloud storage node is used for storing a standard imaging picture corresponding to the opening of the hotel elevator, and the standard imaging picture is an imaging picture which is shot by the hotel elevator in an open state and only comprises the opening of the elevator;
the opening detection mechanism is respectively connected with the signal filtering mechanism and the cloud storage node and is used for sending a signal for allowing elevator entering when a detected sub-picture which is in the received signal filtering image and exceeds the matching degree of the standard imaging picture is in the central position of the signal filtering image;
the opening detection mechanism is further used for sending a position adjusting signal when the detected sub-picture which is out of matching limit with the standard imaging picture in the received signal filtering image is not in the central position of the signal filtering image;
the driving control component is further connected with the opening detection mechanism and used for continuously driving the intelligent robot to walk until a signal for allowing the intelligent robot to enter the elevator is received from the opening detection mechanism when the position adjusting signal is received.
The multi-stage regulation system utilizing cloud storage may further include:
and the position judging mechanism is also used for sending a rough adjusting signal when judging that the position corresponding to the current positioning information of the intelligent robot is outside the waiting area of the waiting elevator in front of the elevator entrance.
In the multi-stage conditioning system utilizing cloud storage:
and the running control component is also used for continuously driving the intelligent robot to run after receiving the rough adjustment information so that the position corresponding to the current positioning information of the intelligent robot is in a waiting area of the waiting elevator in front of the elevator entrance.
In the multi-stage conditioning system utilizing cloud storage:
and the full-color video recording part is also used for stopping executing the full-color video recording action executed on the front environment of the intelligent robot when receiving the rough adjusting signal.
The multi-stage regulation system utilizing cloud storage may further include:
and the power consumption detection part is arranged in the intelligent robot and is respectively connected with the content conversion mechanism, the range adjusting mechanism, the signal filtering mechanism and the opening detection mechanism.
In the multi-stage conditioning system utilizing cloud storage:
the power consumption detection component is used for respectively detecting the respective real-time power consumption of the content conversion mechanism, the range adjusting mechanism, the signal filtering mechanism and the opening detection mechanism.
The multi-stage regulation system utilizing cloud storage may further include:
and the parameter identification component is arranged in the intelligent robot and is respectively connected with the content conversion mechanism, the range adjusting mechanism, the signal filtering mechanism and the opening detection mechanism.
In the multi-stage conditioning system utilizing cloud storage:
the parameter identification component is used for respectively identifying the current operating parameters of the content conversion mechanism, the range adjustment mechanism, the signal filtering mechanism and the opening detection mechanism.
In addition, in the multilevel adjustment system using cloud storage, the driving control component is further configured to stop executing the operation of driving the intelligent robot to travel after receiving the fine adjustment information, so that a position corresponding to the current positioning information of the intelligent robot is in a waiting area of an elevator in front of an elevator entrance.
In addition, the above-described embodiments are described for easy understanding of the present invention, and the present invention is not limited to the above-described embodiments. On the contrary, the invention is intended to cover various modifications and equivalent arrangements included within the scope of the appended claims, which scope is to be accorded the broadest interpretation so as to encompass all such modifications and equivalent structures as is permitted under the law.
Claims (10)
1. A multi-stage conditioning system utilizing cloud storage, the system comprising:
and the driving control component is arranged in the intelligent robot for executing hotel service operation and used for driving the intelligent robot to walk based on the current positioning information of the intelligent robot and the address information of the current set task of the intelligent robot.
2. The multi-stage conditioning system utilizing cloud storage according to claim 1, said system further comprising:
and the field positioning component is arranged in the intelligent robot, is connected with the running control component and is used for providing the current positioning information of the intelligent robot for the running control component.
3. The multi-stage conditioning system utilizing cloud storage according to claim 2, said system further comprising:
the task setting component is arranged behind a touch display screen of the intelligent robot, is respectively connected with the touch display screen and the driving control component, and is used for acquiring a current set task of the intelligent robot based on the operation of an operator on the touch display screen, wherein the current set task comprises address information, service content and service time;
the position judging mechanism is connected with the running control part and used for sending a fine adjustment signal when judging that the position corresponding to the current positioning information of the intelligent robot is in a waiting area of an elevator in front of an elevator entrance;
the full-color video recording component is arranged above the touch display screen of the intelligent robot, is connected with the position judging mechanism and is used for executing full-color video recording action on the front environment of the intelligent robot when receiving the fine adjusting signal so as to obtain a full-color video recording frame corresponding to the current timestamp;
the content conversion mechanism is arranged in the intelligent robot, is connected with the full-color video recording part and is used for executing affine transformation processing on the received full-color video recording frame so as to obtain a corresponding content conversion image;
a range adjusting mechanism connected with the content transforming mechanism and used for executing dynamic range adjusting processing on the received content transforming image to obtain a corresponding range adjusting image;
the signal filtering mechanism is connected with the range adjusting mechanism and used for executing image signal filtering processing in a smooth space mode on the received range adjusting image so as to obtain a corresponding signal filtering image;
the cloud storage node is used for storing a standard imaging picture corresponding to the opening of the hotel elevator, and the standard imaging picture is an imaging picture which is shot by the hotel elevator in an open state and only comprises the opening of the elevator;
the opening detection mechanism is respectively connected with the signal filtering mechanism and the cloud storage node and is used for sending a signal for allowing elevator entering when a detected sub-picture which is in the received signal filtering image and exceeds the matching degree of the standard imaging picture is in the central position of the signal filtering image;
the opening detection mechanism is further used for sending a position adjusting signal when the detected sub-picture which is out of matching limit with the standard imaging picture in the received signal filtering image is not in the central position of the signal filtering image;
the driving control component is further connected with the opening detection mechanism and used for continuously driving the intelligent robot to walk until a signal for allowing the intelligent robot to enter the elevator is received from the opening detection mechanism when the position adjusting signal is received.
4. The multi-stage conditioning system utilizing cloud storage according to claim 3, said system further comprising:
and the position judging mechanism is also used for sending a rough adjusting signal when judging that the position corresponding to the current positioning information of the intelligent robot is outside the waiting area of the waiting elevator in front of the elevator entrance.
5. The multi-stage regulation system using cloud storage according to claim 4, wherein:
and the running control component is also used for continuously driving the intelligent robot to run after receiving the rough adjustment information so that the position corresponding to the current positioning information of the intelligent robot is in a waiting area of the waiting elevator in front of the elevator entrance.
6. The multi-stage regulation system using cloud storage according to claim 3, wherein:
and the full-color video recording part is also used for stopping executing the full-color video recording action executed on the front environment of the intelligent robot when receiving the rough adjusting signal.
7. The multi-stage conditioning system utilizing cloud storage according to claim 3, said system further comprising:
and the power consumption detection part is arranged in the intelligent robot and is respectively connected with the content conversion mechanism, the range adjusting mechanism, the signal filtering mechanism and the opening detection mechanism.
8. The multi-stage regulation system using cloud storage according to claim 7, wherein:
the power consumption detection component is used for respectively detecting the respective real-time power consumption of the content conversion mechanism, the range adjusting mechanism, the signal filtering mechanism and the opening detection mechanism.
9. The multi-stage conditioning system utilizing cloud storage according to claim 3, said system further comprising:
and the parameter identification component is arranged in the intelligent robot and is respectively connected with the content conversion mechanism, the range adjusting mechanism, the signal filtering mechanism and the opening detection mechanism.
10. The multi-stage conditioning system utilizing cloud storage according to claim 9, wherein:
the parameter identification component is used for respectively identifying the current operating parameters of the content conversion mechanism, the range adjustment mechanism, the signal filtering mechanism and the opening detection mechanism.
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Application publication date: 20211224 |