CN112765577A - Robot-based library equipment management method and system - Google Patents
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Abstract
The invention provides a library equipment management method and system based on a robot. The method aims to find an implementation scheme of a more effective library equipment management method, wherein the robot-based library equipment management method comprises the following steps: acquiring current identification information of a current operator, and judging whether the current identification information belongs to manager information preset in a book background management system; if the current identification information belongs to preset manager information, displaying preset equipment control information; and acquiring instruction information of the current operator, and managing and controlling the library equipment based on the instruction information. According to the invention, the robot can identify the identity and behavior of the library manager and control the opening or closing of the management and control equipment, so that not only is manpower liberated, but also the electric power is saved.
Description
Technical Field
The invention relates to the field of equipment management and control, in particular to a library equipment management method and system based on a robot.
Background
With the development of society, more and more management and control equipment is constantly configured in the library. The existing libraries basically use manpower to manage the devices, and most of the library devices are of the traditional single type, namely, the library devices can only be controlled in a single mode in a specific area. If the manager cannot reach the area in time to close or open the corresponding equipment, the situation that the service and the management are not in place can easily occur, and serious accidents can happen.
Disclosure of Invention
In order to find an implementation scheme of a more effective library equipment management method, the invention provides a robot-based library equipment management method and system.
The first scheme is as follows:
the robot-based library equipment management method comprises the following steps:
acquiring current identification information of a current operator, and judging whether the current identification information belongs to manager information preset in a book background management system;
if the current identification information belongs to the preset manager information, displaying preset equipment control information;
and acquiring the instruction information of the current operator, and managing and controlling the library equipment based on the instruction information.
Preferably, the step of obtaining the current identification information of the current operator and determining whether the current identification information belongs to manager information preset in the book backend management system includes the steps of:
and calling a face recognition module configured on the robot to acquire current recognition information of the current operator, and judging whether the current recognition information belongs to manager information preset in the book background management system.
Preferably, the acquiring the instruction information of the current operator includes the following steps:
acquiring the selection action information of the current operator based on the displayed preset equipment control information;
generating instruction information based on the selection action information.
Preferably, the step of managing the library device based on the instruction information includes:
acquiring a device name corresponding to the instruction information;
reporting the equipment name and the instruction information to a server to open or close corresponding equipment;
and receiving and displaying operation result information fed back by the server, wherein the operation result information is whether the corresponding equipment is opened or closed.
Preferably, before the current identification information of the current operator is acquired, the method includes the following steps:
collecting environment information in a library according to a preset patrol route, and generating hidden danger notification information based on the environment information;
and displaying and reporting the hidden danger notification information.
Preferably, before the current identification information of the current operator is acquired, the method includes the following steps:
displaying preset detail information, wherein the preset detail information comprises one or more of book information, navigation information, reception information and the like;
and acquiring user instruction information based on the preset detail information, and completing robot positioning and navigation based on SLAM.
Scheme II:
there is provided a robot-based library device management system, including:
the identification judgment module is used for acquiring the current identification information of the current operator and judging whether the current identification information belongs to the manager information preset in the book background management system;
the display control module is used for displaying preset equipment control information when the current identification information belongs to the preset manager information;
and the instruction operation module is used for acquiring the instruction information of the current operator and managing and controlling the library equipment based on the instruction information.
Preferably, the instruction operation module includes:
the selection action unit is used for acquiring the selection action information of the current operator based on the displayed preset equipment control information;
and the instruction generating unit is used for generating instruction information based on the selection action information.
Preferably, the instruction operation module includes:
the matching unit is used for acquiring the equipment name corresponding to the instruction information;
a reporting unit, configured to report the device name and the instruction information to a server, so as to turn on or turn off a corresponding device;
and the receiving feedback unit is used for receiving and displaying the operation result information fed back by the server, wherein the operation result information is whether the corresponding equipment is opened or closed.
Preferably, the robot-based library device management system includes:
the patrol module is used for acquiring environment information in a library according to a preset patrol route before acquiring the current identification information of the current operator, and generating hidden danger notification information based on the environment information;
and the hidden danger notification module is used for displaying and reporting the hidden danger notification information.
Compared with the prior art, the library equipment management method and system based on the robot have the following beneficial effects that:
according to the method and the system for managing the library equipment based on the robot, the identity and behavior of a library manager can be recognized through the robot, and the opening or closing of the management and control equipment is controlled. Not only liberates manpower, but also saves electric power. In addition, the invention can serve the borrower in a library, can lead the borrower to find the book which the borrower wants to borrow, can tell the borrower that the book is located at a specific position and the like, does not randomly visit and find, and saves time. The function of guiding and explaining and patrolling can be provided for visitors, and the library management personnel can be informed of the places with potential safety hazards, so that the occurrence of harm is reduced. More importantly, the whole library is patrolled, so that a manager can know the temperature and humidity environment of the library, timely adjust the temperature and humidity environment, and store books.
Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
Drawings
The foregoing and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is a flowchart illustrating a library device management method based on a robot according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a library device management system based on a robot according to another embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention.
In some of the flows described in the present specification and claims and in the above figures, a number of operations are included that occur in a particular order, but it should be clearly understood that these operations may be performed out of order or in parallel with the order in which they occur, the order of the operations being 202, 204, etc. merely to distinguish between various operations, the order of which does not itself represent any order of performance. Additionally, the flows may include more or fewer operations, and the operations may be performed sequentially or in parallel. It should be noted that, the descriptions of "first", "second", etc. in this document are used for distinguishing different messages, devices, modules, etc., and do not represent a sequential order, nor limit the types of "first" and "second" to be different.
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, an embodiment of the present invention provides a library device management method based on a robot, which is mainly applied to library device management, and includes the following steps:
step S101: the method comprises the steps of obtaining current identification information of current operators, and judging whether the current identification information belongs to manager information preset in a book background management system.
In some embodiments, the manager information is registered or entered into the book backend management system in advance, so that the judgment of whether the current identification information belongs to the manager information preset in the book backend management system can be realized only by connecting the robot with the book backend management system.
In some embodiments, the step of obtaining the current identification information of the current operator and determining whether the current identification information belongs to the manager information preset in the book backend management system includes the following steps:
and calling a face recognition module configured on the robot to acquire current recognition information of the current operator, and judging whether the current recognition information belongs to manager information preset in the book background management system.
Face recognition is a biometric technology for identity recognition based on facial feature information of a person. A series of related technologies, also commonly called face recognition and face recognition, are used to collect images or video streams containing faces by using a camera or a video camera, automatically detect and track the faces in the images, and then perform face recognition on the detected faces.
The existing face recognition system mainly comprises four components, which are respectively: the method comprises the steps of face image acquisition and detection, face image preprocessing, face image feature extraction, matching and identification. Wherein:
the human face image acquisition is to acquire different human face images through a camera lens, and for example, the human face images can be well acquired in aspects of static images, dynamic images, different positions, different expressions and the like. When the user is in the shooting range of the acquisition equipment, the acquisition equipment can automatically search and shoot the face image of the user; in practice, face detection is mainly used for preprocessing of face recognition, namely, the position and size of a face are accurately calibrated in an image. The face image contains abundant pattern features, such as histogram features, color features, template features, structural features, and HAAR features. The face detection is to extract the useful information and to use the features to realize the face detection. The mainstream face detection method adopts an Adaboost learning algorithm based on the characteristics, namely the Adaboost learning algorithm is used for selecting some rectangular characteristics which can represent the face most, a weak classifier is constructed into a strong classifier according to a weighting voting mode, and then a plurality of strong classifiers obtained by training are connected in series to form a cascade classifier with a cascade structure, so that the detection speed of the classifier is effectively improved;
the face image preprocessing is a process of preprocessing the face image, processing the image based on the face detection result and finally serving for feature extraction. The original image acquired by the system is limited by various conditions and random interference, so that the original image cannot be directly used, and the original image needs to be subjected to image preprocessing such as gray scale correction, noise filtering and the like in the early stage of image processing. For the face image, the preprocessing process mainly comprises the steps of light compensation, gray level transformation, histogram equalization, normalization, geometric correction, filtering, sharpening and the like of the face image;
features available for face image feature extraction are generally classified into visual features, pixel statistical features, face image transform coefficient features, face image algebraic features, and the like. The face feature extraction is performed on some features of the face. Face feature extraction, also known as face characterization, is a process of feature modeling for a face. The methods for extracting human face features are classified into two main categories: one is a knowledge-based characterization method; the other is a characterization method based on algebraic features or statistical learning. The knowledge-based characterization method mainly obtains feature data which is helpful for face classification according to shape description of face organs and distance characteristics between the face organs, and feature components of the feature data generally comprise Euclidean distance, curvature, angle and the like between feature points. The human face is composed of parts such as eyes, nose, mouth, and chin, and geometric description of the parts and their structural relationship can be used as important features for recognizing the human face, and these features are called geometric features. The knowledge-based face characterization mainly comprises a geometric feature-based method and a template matching method;
the face image matching and identification is that the extracted feature data of the face image is searched and matched with a feature template stored in a database, and a threshold value is set, and when the similarity exceeds the threshold value, the result obtained by matching is output. The face recognition is to compare the face features to be recognized with the obtained face feature template, and judge the identity information of the face according to the similarity degree. This process is divided into two categories: one is confirmation, which is a process of performing one-to-one image comparison, and the other is recognition, which is a process of performing one-to-many image matching comparison.
Step S103: and if the current identification information belongs to the preset manager information, displaying preset equipment control information.
It is understood that, if the current identification information does not belong to the preset manager information, the remaining operations need to be terminated.
Step S105: and acquiring the instruction information of the current operator, and managing and controlling the library equipment based on the instruction information.
In some embodiments, obtaining instruction information of the current operator comprises the following steps:
acquiring the selection action information of the current operator based on the displayed preset equipment control information;
generating instruction information based on the selection action information.
In some embodiments, managing library devices based on instructional information includes:
acquiring a device name corresponding to the instruction information;
reporting the device name and the instruction information to a server to open or close the corresponding device;
and receiving and displaying operation result information fed back by the server, wherein the operation result information is whether the corresponding equipment is opened or closed.
It should be noted that, in consideration of the influence of the humidity and temperature change in the library on book collection, in order to better collect books, the humidity and temperature in the library need to be detected, and therefore, the library device management method based on the robot according to the embodiment of the present invention includes the following steps before acquiring the current identification information of the current operator:
collecting environment information in a library according to a preset patrol route, and generating hidden danger notification information based on the environment information;
and displaying and reporting the hidden danger notification information.
Therefore, when the library management personnel see the hidden danger notification information, the opening or closing of the related equipment can be timely adjusted, a proper library environment is maintained, and book collection is facilitated.
Of course, the robot can be used for finishing information such as autonomous positioning, reception, navigation and the like. Specifically, before acquiring the current identification information of the current operator, the method includes the following steps:
displaying preset detail information, wherein the preset detail information comprises one or more of book information, navigation information, reception information and the like;
and acquiring user instruction information based on the preset detail information, and completing robot positioning and navigation based on SLAM.
The instant positioning and Mapping (SLAM for short) can make a robot move from an unknown position in an unknown environment, perform self-positioning according to position estimation and a map in the moving process, and build an incremental map on the basis of self-positioning to realize autonomous positioning and navigation of the robot.
Illustratively, when a robot serves a borrower in a library, a search is performed on the book management system by acquiring the name of a book that the borrower wants to find, and the book information is displayed on the screen. When the borrower selects navigation, the borrower can be brought to find a book and then returns to a reception point or performs other actions, which is not limited by the embodiment of the invention.
Compared with the prior art, the library equipment management method based on the robot has the following beneficial effects that:
according to the library equipment management method based on the robot, the identity and behavior of a library manager can be recognized through the robot, and the opening or closing of the management and control equipment is controlled. Not only liberates manpower, but also saves electric power. In addition, the embodiment of the invention can serve the borrower in a library, can lead the borrower to find the book which the borrower wants to borrow, can tell the borrower that the book is located at a specific position and the like, does not randomly visit and find, and saves time. The function of guiding and explaining and patrolling can be provided for visitors, and the library management personnel can be informed of the places with potential safety hazards, so that the occurrence of harm is reduced. More importantly, the whole library is patrolled, so that a manager can know the temperature and humidity environment of the library, timely adjust the temperature and humidity environment, and store books.
Referring to fig. 2, based on the same inventive concept as the robot-based library device management method according to the embodiment of the present invention, another embodiment of the present invention provides a robot-based library device management system, which includes:
an identification judging module 2002, configured to obtain current identification information of a current operator, and judge whether the current identification information belongs to manager information preset in the book backend management system;
a display control module 2004 for displaying preset device control information when the current identification information belongs to the preset manager information;
and the instruction operation module 2006 is configured to obtain instruction information of the current operator, and control the library device based on the instruction information.
In some embodiments, the identification determination module 2002 comprises:
and the face recognition unit is used for calling a face recognition module configured on the robot to acquire the current recognition information of the current operator and judging whether the current recognition information belongs to the manager information preset in the book background management system.
Preferably, the instruction operation module 2006 includes:
the selection action unit is used for acquiring the selection action information of the current operator based on the displayed preset equipment control information;
and an instruction generating unit configured to generate instruction information based on the selection action information.
In some embodiments, the instruction operation module 2006 further comprises:
a matching unit for acquiring a device name corresponding to the instruction information;
a reporting unit, configured to report the device name and the instruction information to a server, so as to turn on or turn off a corresponding device;
and the receiving feedback unit is used for receiving and displaying the operation result information fed back by the server, wherein the operation result information is whether the corresponding equipment is opened or closed.
In some embodiments, another embodiment of the present invention is a robot-based library device management system comprising:
the patrol module is used for acquiring environmental information in the library according to a preset patrol route before acquiring the current identification information of the current operator, and generating hidden danger notification information based on the environmental information;
and the hidden danger notification module is used for displaying and reporting the hidden danger notification information.
In some embodiments, another embodiment of the present invention is a robot-based library device management system further comprising:
the system comprises a preset detail information display unit, a display unit and a display unit, wherein the preset detail information display unit is used for displaying preset detail information before current identification information of a current operator is acquired, and the preset detail information comprises one or more of book information, navigation information, reception information and the like;
and the positioning navigation unit is used for acquiring user instruction information based on the preset detail information and completing robot positioning and navigation based on SLAM.
Compared with the prior art, another embodiment of the invention provides a library equipment management system based on a robot, which has the following beneficial effects:
another embodiment of the present invention provides a library device management system based on a robot, which can identify the identity and behavior of a library manager through an identification and determination module 2002, a display control module 2004, and an instruction operation module 2006, and control the opening or closing of a management and control device. Not only liberates manpower, but also saves electric power. In addition, the invention can serve the borrower in a library, can lead the borrower to find the book which the borrower wants to borrow, can tell the borrower that the book is located at a specific position and the like, does not randomly visit and find, and saves time. The function of guiding and explaining and patrolling can be provided for visitors, and the library management personnel can be informed of the places with potential safety hazards, so that the occurrence of harm is reduced. More importantly, the whole library is patrolled, so that a manager can know the temperature and humidity environment of the library, timely adjust the temperature and humidity environment, and store books.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable storage medium, and the storage medium may include: a Read Only Memory (ROM), a Random Access Memory (RAM), a magnetic or optical disk, or the like.
The foregoing is only a partial 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. A robot-based library equipment management method is characterized by comprising the following steps:
acquiring current identification information of a current operator, and judging whether the current identification information belongs to manager information preset in a book background management system;
if the current identification information belongs to the preset manager information, displaying preset equipment control information;
and acquiring the instruction information of the current operator, and managing and controlling the library equipment based on the instruction information.
2. The robot-based library equipment management method of claim 1, wherein the obtaining of the current identification information of the current operator and the determining of whether the current identification information belongs to the manager information preset in the book backend management system comprises the following steps:
and calling a face recognition module configured on the robot to acquire current recognition information of the current operator, and judging whether the current recognition information belongs to manager information preset in the book background management system.
3. The robot-based library equipment management method of claim 1, wherein the acquiring the instruction information of the current operator comprises the steps of:
acquiring the selection action information of the current operator based on the displayed preset equipment control information;
generating instruction information based on the selection action information.
4. The robot-based library apparatus management method according to claim 3, wherein the managing the library apparatus based on the instruction information includes:
acquiring a device name corresponding to the instruction information;
reporting the equipment name and the instruction information to a server to open or close corresponding equipment;
and receiving and displaying operation result information fed back by the server, wherein the operation result information is whether the corresponding equipment is opened or closed.
5. The robot-based library equipment management method of claim 1, wherein before obtaining the current identification information of the current operator, comprising the steps of:
collecting environment information in a library according to a preset patrol route, and generating hidden danger notification information based on the environment information;
and displaying and reporting the hidden danger notification information.
6. The robot-based library equipment management method of claim 1, wherein before obtaining the current identification information of the current operator, comprising the steps of:
displaying preset detail information, wherein the preset detail information comprises one or more of book information, navigation information, reception information and the like;
and acquiring user instruction information based on the preset detail information, and completing robot positioning and navigation based on SLAM.
7. A robot-based library equipment management system, comprising:
the identification judgment module is used for acquiring the current identification information of the current operator and judging whether the current identification information belongs to the manager information preset in the book background management system;
the display control module is used for displaying preset equipment control information when the current identification information belongs to the preset manager information;
and the instruction operation module is used for acquiring the instruction information of the current operator and managing and controlling the library equipment based on the instruction information.
8. The robot-based library equipment management system of claim 7, wherein the instruction operation module comprises:
the selection action unit is used for acquiring the selection action information of the current operator based on the displayed preset equipment control information;
and the instruction generating unit is used for generating instruction information based on the selection action information.
9. The robot-based library equipment management system of claim 8, wherein the instruction operation module comprises:
the matching unit is used for acquiring the equipment name corresponding to the instruction information;
a reporting unit, configured to report the device name and the instruction information to a server, so as to turn on or turn off a corresponding device;
and the receiving feedback unit is used for receiving and displaying the operation result information fed back by the server, wherein the operation result information is whether the corresponding equipment is opened or closed.
10. The robot-based library device management system of claim 7, wherein the robot-based library device management system comprises:
the patrol module is used for acquiring environment information in a library according to a preset patrol route before acquiring the current identification information of the current operator, and generating hidden danger notification information based on the environment information;
and the hidden danger notification module is used for displaying and reporting the hidden danger notification information.
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Application publication date: 20210507 |