CN113878584A - Intelligent robot for transformer substation and control method - Google Patents
Intelligent robot for transformer substation and control method Download PDFInfo
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- CN113878584A CN113878584A CN202111280090.0A CN202111280090A CN113878584A CN 113878584 A CN113878584 A CN 113878584A CN 202111280090 A CN202111280090 A CN 202111280090A CN 113878584 A CN113878584 A CN 113878584A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
- B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
- B25J9/00—Programme-controlled manipulators
- B25J9/16—Programme controls
- B25J9/1602—Programme controls characterised by the control system, structure, architecture
- B25J9/161—Hardware, e.g. neural networks, fuzzy logic, interfaces, processor
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
- B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
- B25J11/00—Manipulators not otherwise provided for
- B25J11/0005—Manipulators having means for high-level communication with users, e.g. speech generator, face recognition means
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Abstract
The application discloses transformer substation intelligent robot and control method, the robot includes: the system comprises an infrared detection module, a voice recognition module, a face recognition module, an inquiry module and a human-computer interaction module; the infrared detection module is used for detecting whether a user approaches to the robot direction or not, and triggering the face recognition module when the user approaches to the robot direction; the face recognition module is used for acquiring a face image of the user and determining the service authority of the user according to the face image; the voice recognition module is used for responding to a voice signal of a user, acquiring a keyword of the voice signal and sending the keyword to the query module; the query module is used for responding the keywords, searching the document library limited by the service authority according to the keywords and sending the search result to the man-machine interaction module; and the human-computer interaction module is used for displaying the search result. Therefore, the technical problems of single function and low query efficiency in the prior art are solved.
Description
Technical Field
The application relates to the technical field of electric power operation and maintenance, in particular to an intelligent robot for a transformer substation and a control method.
Background
The service robot aims at service, so people need a more convenient, more natural and more humanized mode to interact with the robot, and do not meet complicated keyboard and button operation any more, human-computer interaction based on hearing is an important development direction in the field, the intelligent robot is responded by researching and developing an integrated data, needed documents are classified and stored locally, and the robot rapidly locates and searches the needed documents through a fuzzy memory query method through human-computer intelligent conversation, manual input and other modes, so that the query efficiency of operation and maintenance personnel is improved. Meanwhile, different document updates are formed through regular comparison and update of the archives. The production efficiency is effectively improved.
At present, with the increasing of standardization requirements and technologies in substations, the types of existing substations are various, and the operation and maintenance regulation data of field equipment is complicated, wide in involvement and high in updating speed. In actual work, for many work development (such as work invoicing, accident handling, etc.), corresponding data, such as engineering data, technical specification data, personnel data, etc., need to be searched. This results in a lot of time spent on finding documents and documents in the work, which is slow to develop. In order to improve the working efficiency, a 'Baishitong' robot is provided.
The existing transformer substation robot can only search and query through option selection or characters generally, the function is traditional and single, the query efficiency of the method is low, and when the identity of a query person needs to be screened, the limit and the management on the authority of the query person are inconvenient.
Disclosure of Invention
The application provides a transformer substation intelligent robot and a control method, which are used for solving the technical problems of single function and low query efficiency in the prior art.
In view of this, the present application provides, in a first aspect, a substation intelligent robot, where the robot includes:
the system comprises an infrared detection module, a voice recognition module, a face recognition module, an inquiry module and a human-computer interaction module;
the infrared detection module is used for detecting whether a user approaches to the robot direction or not, and triggering the face recognition module when the user approaches to the robot direction;
the face recognition module is used for collecting a face image of a user and determining the service authority of the user according to the face image;
the voice recognition module is used for responding to a voice signal of a user, acquiring a keyword of the voice signal and sending the keyword to the query module;
the query module is used for responding to the keyword, searching a document library limited by the service authority according to the keyword, and sending a search result to the human-computer interaction module;
and the human-computer interaction module is used for displaying the search result.
Optionally, the face recognition module is specifically configured to:
the method comprises the steps of collecting a face image of a user, converting a pixel value of the face image into a characteristic vector, comparing the characteristic value of the characteristic vector with a personnel image in a preset white list library, and determining the service authority of the user.
Optionally, the method is specifically configured to:
responding to the keyword, and comparing the keyword with the document tag limited by the service authority to obtain corresponding document data;
and preprocessing the text content of the document data to obtain text blocks, inquiring a text library according to the text blocks to obtain data meeting the requirements, and sending the data to the man-machine interaction module.
Optionally, the query module is further configured to: when the data meeting the requirements are obtained, the query path is saved.
Optionally, the human-computer interaction module is further configured to: and responding to a printing instruction of the user, and printing the search result.
Optionally, the human-computer interaction module is further configured to:
and when the infrared detection module does not detect that a user approaches to the robot, displaying preset propaganda information.
The second aspect of the present application provides a control method for a substation intelligent robot, which is applied to the substation intelligent robot in the first aspect, and the method includes:
the infrared detection module detects whether a user approaches to the robot direction, and the face recognition module is triggered when the user approaches to the robot direction;
the face recognition module collects a face image of a user and determines the service authority of the user according to the face image;
the voice recognition module responds to a voice signal of a user, acquires a keyword of the voice signal and sends the keyword to the query module;
the query module responds to the keyword, searches a document library limited by the service authority according to the keyword, and sends a search result to the man-machine interaction module;
and displaying the search result by a human-computer interaction module.
Optionally, the face recognition module acquires a face image of a user, and determines a service authority of the user according to the face image, including:
the method comprises the steps of collecting a face image of a user, converting a pixel value of the face image into a characteristic vector, comparing the characteristic value of the characteristic vector with a personnel image in a preset white list library, and determining the service authority of the user.
Optionally, the query module responds to the keyword, searches a document library defined by the service authority according to the keyword, and sends a search result to the human-computer interaction module, and the method specifically includes:
responding to the keyword, and comparing the keyword with the document tag limited by the service authority to obtain corresponding document data;
and preprocessing the text content of the document data to obtain text blocks, inquiring a text library according to the text blocks to obtain data meeting the requirements, and sending the data to the man-machine interaction module.
Optionally, the infrared detection module detects whether a user approaches to the robot in the direction of the robot, and then further includes:
and when the infrared detection module does not detect that a user approaches to the robot, displaying preset propaganda information.
According to the technical scheme, the method has the following advantages:
the application provides an intelligent robot of transformer substation includes: the system comprises an infrared detection module, a voice recognition module, a face recognition module, an inquiry module and a human-computer interaction module; the infrared detection module is used for detecting whether a user approaches to the robot direction or not, and triggering the face recognition module when the user approaches to the robot direction; the face recognition module is used for acquiring a face image of the user and determining the service authority of the user according to the face image; the voice recognition module is used for responding to a voice signal of a user, acquiring a keyword of the voice signal and sending the keyword to the query module; the query module is used for responding the keywords, searching the document library limited by the service authority according to the keywords and sending the search result to the man-machine interaction module; and the human-computer interaction module is used for displaying the search result.
According to the intelligent transformer substation robot, the authority of a querier is limited and managed by applying a face recognition technology on a service robot, and files can be efficiently and quickly queried by applying a voice recognition and search technology. Compared with the existing transformer substation service robot, the multifunctional intelligent transformer substation service robot has the advantages of being richer in functions, high in real-time performance, high in recognition rate and stability, small in size, low in power consumption, high in reliability, small in investment, flexible to install and the like. Therefore, the technical problems of single function and low query efficiency in the prior art are solved.
Drawings
Fig. 1 is a schematic structural diagram of an intelligent substation robot provided in an embodiment of the present application;
fig. 2 is a schematic flow chart of a control method of a substation intelligent robot provided in an embodiment of the present application.
Detailed Description
In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, 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 application.
Referring to fig. 1, fig. 1 is a schematic structural diagram of an intelligent robot in a substation provided in an embodiment of the present application.
The intelligent robot of transformer substation that this application embodiment provided includes: the system comprises an infrared detection module, a voice recognition module, a face recognition module, an inquiry module and a human-computer interaction module;
the infrared detection module 101 is used for detecting whether a user approaches to the robot direction or not, and triggering the face recognition module when the user approaches to the robot direction;
it should be noted that the intelligent robot may be installed near a doorway of a hall, an infrared sensor is used to detect whether a person walks in front of the robot, and if the person walks in front of the robot, the face recognition module is triggered.
The face recognition module 102 is used for acquiring a face image of a user and determining the service authority of the user according to the face image;
it should be noted that, in this embodiment, the face recognition module collects a face image of a user, converts a pixel value of the face image into a feature vector, and compares the feature value of the feature vector with a person image in a preset white list library to determine a service authority of the user. Specifically, a camera is used for shooting and inquiring a head portrait of a user and sending face information to a face recognition algorithm module, the face recognition algorithm module analyzes and processes the shot face information, and pixel values of a face image are converted into compact and discriminable feature vectors. And comparing the characteristic value with the personnel pictures in the white list library, and providing different authority services for different personnel.
The voice recognition module 103 is used for responding to a voice signal of a user, acquiring a keyword of the voice signal and sending the keyword to the query module;
it should be noted that the speech recognition module includes: the microphone collects voice information of a inquirer, then sends the collected voice information to the voice processing module for analysis and pretreatment, obtains corresponding key words in the pretreatment, and sends the key words to the inquiring module.
The query module 104 is used for responding the keywords, searching the document library limited by the service authority according to the keywords and sending the search result to the man-machine interaction module;
it should be noted that, the query module of this embodiment responds to the keyword, and compares the keyword with the document tag defined by the service authority to obtain the corresponding document data; preprocessing the text content of the document data to obtain text blocks, inquiring a text library according to the text blocks to obtain data meeting the requirements, and sending the data to the man-machine interaction module. The query module comprises statement processing, wherein the preprocessed key words are compared with the archived data marks, and appropriate key data can be extracted. After the complete sentence input by voice is segmented, the sentence is partitioned and inquired in parallel, the processing speed is increased, the effectiveness of the inquired data is evaluated, and the data containing the most partitions are fed back to the man-machine interaction module.
And the human-computer interaction module 105 is used for displaying the search result.
It should be noted that the human-computer interaction module is an intelligent screen, and the intelligent screen provides the data (search results) acquired by the background to the consultant for viewing, and also provides corresponding auxiliary data, such as auxiliary book reading content, and if the equipment processing is involved, provides various auxiliary data such as corresponding cases.
In a specific application, the robot of the present embodiment further includes: a power supply module: the power module mainly provides the required electric energy of robot operation work, including group battery and the module of charging, when the electric quantity is low, the robot charges to predetermineeing the position automatically according to the route of charging, and the electric energy of group battery storage satisfies to lead to the robot and leaves normal operating behind the charging position.
According to the intelligent transformer substation robot, the authority of a querier is limited and managed by applying a face recognition technology on a service robot, and files can be efficiently and quickly queried by applying a voice recognition and search technology. Compared with the existing transformer substation service robot, the multifunctional intelligent transformer substation service robot has the advantages of being richer in functions, high in real-time performance, high in recognition rate and stability, small in size, low in power consumption, high in reliability, small in investment, flexible to install and the like. Therefore, the technical problems of single function and low query efficiency in the prior art are solved.
In an optional embodiment, the query module of the present application is further configured to: when the data meeting the requirements are obtained, the query path is saved.
It should be noted that, in order to improve the efficiency of query, when the data meeting the requirement is obtained, the query path is saved, so that the next query can be called quickly.
In an optional embodiment, the human-computer interaction module of the present application is further configured to: and responding to a printing instruction of the user, and printing the search result.
It should be noted that the human-computer interaction module includes, in addition to the smart screen, accessories such as a printing device, and when a search result is returned, the user can directly print the information to be printed or download the information online.
In an optional embodiment, the human-computer interaction module of the present application is further configured to: when the infrared detection module does not detect that a user approaches to the robot, the preset propaganda information is displayed.
It should be noted that, the infrared sensor is used to detect whether a person walks in front of the robot, and if no person exists, the display screen of the robot automatically plays the propaganda information, so that the service function of the robot is further enriched.
The foregoing is an embodiment of the substation intelligent robot provided in the embodiment of the present application, and the following is an embodiment of a control method of the substation intelligent robot provided in the embodiment of the present application.
Referring to fig. 2, fig. 2 is a schematic flowchart of a control method for an intelligent robot in a substation provided in an embodiment of the present application.
The control method for the intelligent robot of the transformer substation provided by the embodiment of the application comprises the following steps:
and step 205, displaying the search result by the man-machine interaction module.
The embodiment further provides an application example of the robot, which is specifically as follows:
1) the robot is arranged near the doorway of a hall, an infrared sensor is utilized to detect whether a person walks in front of the robot, and if no person exists, a display screen of the robot automatically plays propaganda information;
2) if the infrared sensor detects that people exist, face recognition is carried out;
3) comparing the recognized face with the face recorded by the system to judge whether the recognized face is consistent with the face recorded by the system;
4) if yes, providing corresponding authority for the mobile phone; if not, the process is ended;
5) the inquirer speaks the inquired content to the robot;
6) the voice recognition module converts the text content into a text content and preprocesses the text content to obtain a keyword; for example, inquiring people inquire the equipment management authority classification in the scheduling regulation system of the network company;
7) the query module extracts the conforming data such as network companies and scheduling rules according to the keyword comparison document tags;
81) and the query module performs block processing on the text content, performs parallel query in the library, and feeds back the data containing a plurality of word blocks to the intelligent screen.
9) And for the information meeting the requirements, the query module stores the query path, and can quickly call the path in the next corresponding query process.
10) The inquirer can look up the corresponding data and the auxiliary data thereof on the intelligent screen and provide printing service for the corresponding effective data.
The terms "first," "second," "third," "fourth," and the like in the description of the application and the above-described figures, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are, for example, capable of operation in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be understood that in the present application, "at least one" means one or more, "a plurality" means two or more. "and/or" for describing an association relationship of associated objects, indicating that there may be three relationships, e.g., "a and/or B" may indicate: only A, only B and both A and B are present, wherein A and B may be singular or plural. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "at least one of the following" or similar expressions refer to any combination of these items, including any combination of single item(s) or plural items. For example, at least one (one) of a, b, or c, may represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", wherein a, b, c may be single or plural.
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 application 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.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.
Claims (10)
1. A transformer substation intelligent robot, characterized by includes: the system comprises an infrared detection module, a voice recognition module, a face recognition module, an inquiry module and a human-computer interaction module;
the infrared detection module is used for detecting whether a user approaches to the robot direction or not, and triggering the face recognition module when the user approaches to the robot direction;
the face recognition module is used for collecting a face image of a user and determining the service authority of the user according to the face image;
the voice recognition module is used for responding to a voice signal of a user, acquiring a keyword of the voice signal and sending the keyword to the query module;
the query module is used for responding to the keyword, searching a document library limited by the service authority according to the keyword, and sending a search result to the human-computer interaction module;
and the human-computer interaction module is used for displaying the search result.
2. The substation intelligent robot of claim 1, wherein the face recognition module is specifically configured to:
the method comprises the steps of collecting a face image of a user, converting a pixel value of the face image into a characteristic vector, comparing the characteristic value of the characteristic vector with a personnel image in a preset white list library, and determining the service authority of the user.
3. The substation intelligent robot of claim 1, wherein the query module is specifically configured to:
responding to the keyword, and comparing the keyword with the document tag limited by the service authority to obtain corresponding document data;
and preprocessing the text content of the document data to obtain text blocks, inquiring a text library according to the text blocks to obtain data meeting the requirements, and sending the data to the man-machine interaction module.
4. The substation intelligent robot of claim 1, wherein the query module is further configured to: when the data meeting the requirements are obtained, the query path is saved.
5. The substation intelligent robot of claim 1, wherein the human-computer interaction module is further configured to: and responding to a printing instruction of the user, and printing the search result.
6. The substation intelligent robot of claim 1, wherein the human-computer interaction module is further configured to:
and when the infrared detection module does not detect that a user approaches to the robot, displaying preset propaganda information.
7. A control method of a substation intelligent robot is applied to the substation intelligent robot in any one of claims 1-6, and the method comprises the following steps:
the infrared detection module detects whether a user approaches to the robot direction, and the face recognition module is triggered when the user approaches to the robot direction;
the face recognition module collects a face image of a user and determines the service authority of the user according to the face image;
the voice recognition module responds to a voice signal of a user, acquires a keyword of the voice signal and sends the keyword to the query module;
the query module responds to the keyword, searches a document library limited by the service authority according to the keyword, and sends a search result to the man-machine interaction module;
and displaying the search result by a human-computer interaction module.
8. The method for controlling the substation intelligent robot according to claim 7, wherein the face recognition module collects a face image of a user, and determines the service authority of the user according to the face image, specifically comprising:
the method comprises the steps of collecting a face image of a user, converting a pixel value of the face image into a characteristic vector, comparing the characteristic value of the characteristic vector with a personnel image in a preset white list library, and determining the service authority of the user.
9. The method for controlling the substation intelligent robot according to claim 7, wherein the query module searches a document library defined by the service authority according to the keyword in response to the keyword, and sends a search result to the human-computer interaction module, specifically comprising:
responding to the keyword, and comparing the keyword with the document tag limited by the service authority to obtain corresponding document data;
and preprocessing the text content of the document data to obtain text blocks, inquiring a text library according to the text blocks to obtain data meeting the requirements, and sending the data to the man-machine interaction module.
10. The method for controlling the substation intelligent robot according to claim 7, wherein the infrared detection module detects whether a user approaches to the robot, and then further comprises:
and when the infrared detection module does not detect that a user approaches to the robot, displaying preset propaganda information.
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