CN111086008A - Electric power safety knowledge learning robot and method for preventing electric power operation fault - Google Patents
Electric power safety knowledge learning robot and method for preventing electric power operation fault Download PDFInfo
- Publication number
- CN111086008A CN111086008A CN201811246072.9A CN201811246072A CN111086008A CN 111086008 A CN111086008 A CN 111086008A CN 201811246072 A CN201811246072 A CN 201811246072A CN 111086008 A CN111086008 A CN 111086008A
- Authority
- CN
- China
- Prior art keywords
- electric power
- safety knowledge
- power safety
- user
- voice
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 16
- 230000004044 response Effects 0.000 abstract description 2
- 238000007689 inspection Methods 0.000 description 4
- 230000009286 beneficial effect Effects 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 238000010276 construction Methods 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000001755 vocal effect Effects 0.000 description 1
Images
Classifications
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/20—Scenes; Scene-specific elements in augmented reality scenes
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B5/00—Electrically-operated educational appliances
- G09B5/06—Electrically-operated educational appliances with both visual and audible presentation of the material to be studied
- G09B5/065—Combinations of audio and video presentations, e.g. videotapes, videodiscs, television systems
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Robotics (AREA)
- Mechanical Engineering (AREA)
- Business, Economics & Management (AREA)
- Educational Administration (AREA)
- Educational Technology (AREA)
- Electrically Operated Instructional Devices (AREA)
Abstract
The invention discloses an electric power safety knowledge learning robot and a method for preventing electric power operation faults thereof, wherein the electric power safety knowledge learning robot comprises an identification module, a database and a control module, wherein the identification module is used for identifying information according to instructions of a user; the recognition module comprises a voice recognition submodule and an image recognition submodule, the voice recognition submodule is used for recognizing voice information of a user, the image recognition submodule is used for recognizing a target object, the image recognition submodule comprises a camera module, and an image is generated by scanning the target object. The invention can be placed in the field places such as transformer substations, electromechanical workshops and the like, can perform safety inquiry response service on constructors working on the field, and can also perform safety knowledge training on the constructors to enhance the learning of electric power safety knowledge.
Description
Technical Field
The invention relates to the field of robots, in particular to an electric power safety knowledge learning robot and a method for preventing electric power operation faults thereof.
Background
Along with the continuous development of electric power construction, more and more power equipment has obtained extensive application, and the study of electric power safety knowledge is also equally important simultaneously, and the correct installation standard can help constructor to reduce the mistake to avoid taking place danger, reduce unexpected emergence, traditional training to constructor's safety knowledge study often will consume a large amount of manpower and materials, still will occupy very long time, and is very inconvenient.
In the prior art, there are many robots related to learning and power, for example, application publication No. CN 108089836A discloses a robot-based auxiliary learning method and a robot, and in the present invention, a robot-based auxiliary learning method is applied to a robot, and includes: receiving first voice information sent by a user; detecting whether the first voice information has wrong pronunciation; and if the first voice message is detected to have wrong pronunciation, sending out second voice message, wherein the second voice message comprises correct pronunciation corresponding to the wrong pronunciation. The method not only can enable the user to know which character or which word has the wrong pronunciation in time, but also is beneficial to correcting the wrong pronunciation in the voice information of the user in time, thereby being beneficial to forming a good speaking habit; the application of the grant notice number CN 106654987B discloses a multi-robot cooperative inspection method for a power line, wherein in a power line inspection task, a lead is segmented according to towers, inspection line sections are generated according to tower coordinates and lead model data, and in a multi-robot power inspection and operation task, various types of robots jointly strive to complete a specified task.
Disclosure of Invention
In view of the above, an object of the present invention is to provide an electric power safety knowledge learning robot and a method for preventing electric power operation failure thereof, which can be placed in a substation, an electromechanical workshop, and other field work places, can perform safety inquiry response service on field workers, can perform safety knowledge training on the field workers, can save manpower, and enhance learning of electric power safety knowledge.
To achieve the above object, an electric power safety knowledge learning robot includes:
an identification module for identifying information according to the instruction of the user,
a database for storing images, text introduction and related power safety knowledge of the power tool,
the control module is used for working according to the instruction of a user, and the identification module and the database are respectively connected with the control module; the recognition module comprises a voice recognition submodule and an image recognition submodule, the voice recognition submodule is used for recognizing voice information of a user, and the image recognition submodule is used for recognizing a target object.
Further, the image recognition sub-module comprises a camera module for generating an image by scanning the target object.
Furthermore, the identification module further comprises a judgment submodule, and the judgment submodule is used for comparing whether the answer of the user is consistent with the answer stored in the database.
Further, the control module comprises a display, a sounder and a controller, wherein the display and the sounder are respectively connected with the controller.
Further, the control module is connected with a sensor module.
Further, the sensor module includes an infrared sensor and a distance sensor.
The invention also comprises a method for preventing the electric power operation fault of the electric power safety knowledge learning robot, which comprises the following steps:
step one, selecting modes, wherein the modes comprise a question answering mode and a training mode,
step two, if the question answering mode is selected, continuing to perform tool selection identification or knowledge question answering, if the tool selection identification is selected, scanning the target object to generate an image, performing information comparison in a database through a controller, displaying related information of the target object in a display and performing voice answering through a sounder; if the knowledge question and answer is selected, the voice information of the user is identified, the information is compared in the database through the controller, then the related information of the target object is displayed in the display, and the voice answer is carried out through the sounder;
or selecting a training mode, selecting the content of the training electric power safety knowledge, directly displaying the content in a display and playing the content through a sound generator;
and step three, ending.
Further, after the operation of the second step is finished, an inquiry is sent to the user, if the inquiry is continued, the step is repeated if the inquiry is continued, and if the inquiry is not continued, the third step is performed or the first step is returned.
Further, the training mode comprises an assessment mode, and specifically comprises the following steps: the method comprises the steps of asking questions of an examinee, carrying out voice recognition judgment on answers of the examinee, correcting answers of wrong questions in a display, and directly displaying correct questions in the display and carrying out voice prompt through a sounder.
The invention has the beneficial effects that:
1. the voice recognition system is provided with an image recognition submodule which can recognize a target object, the target object is scanned through the camera module to form an image, then information comparison is carried out in the database through the controller, specific information of the object is found out and then the specific information is displayed on the display and the voice device is used for carrying out voice answer, so that a user can know about a tool which is not known or understood and can understand how to operate; still be equipped with speech recognition submodule piece and can discern user's speech information, carry out the knowledge question and answer, namely the user is through the pronunciation question, carries out information comparison back in the database through the controller after robot speech recognition and shows and through vocal ware pronunciation answer in the display, solves the answer to the knowledge that the user does not understand, and is accurate high-efficient, has saved manpower and time.
2. The robot is provided with a training mode, can train a certain number of workers at the same time, does not need special teachers for explanation, saves a large amount of manpower and material resources, and can cause errors when working because the artificial training can cause errors, so that the knowledge learned by the learners can also have wrong places, and can cause errors when working, thereby influencing the work and even causing safety problems.
3. The robot is provided with an assessment mode, so that a person receiving training can be assessed, the robot provides questions, the assessed person answers the questions, voice recognition is carried out on the assessed answers, whether the assessed answers are correct or not is judged after database information comparison, correct answers are displayed on a display for wrong questions, the person receiving training can know which places are insufficient, and the knowledge which is not understood can be further learned; the correct question is displayed directly in the display and is prompted by a sounder voice.
4. The robot is provided with the sensors, including the distance sensor and the infrared sensor, and the robot is automatically started according to the distance between a worker and the robot, so that the worker can be automatically started when standing in front of the robot in a short distance, and the robot is simple to operate and convenient to use.
Drawings
Fig. 1 is a schematic flow chart according to a first embodiment of the present invention.
Fig. 2 is a schematic structural diagram of a first embodiment of the present invention.
Fig. 3 is a schematic structural diagram of a second embodiment of the present invention.
Fig. 4 is a flowchart illustrating a third embodiment of the present invention.
Fig. 5 is a schematic structural diagram of a third embodiment of the present invention.
Detailed Description
The technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. 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.
Example one
As shown in fig. 1-2, an electric power safety knowledge learning robot includes:
an identification module for identifying information according to the instruction of the user,
a database for storing images, text introduction and related power safety knowledge of the power tool,
the control module is used for working according to the instruction of a user, and the identification module and the database are respectively connected with the control module; the recognition module comprises a voice recognition submodule and an image recognition submodule, the voice recognition submodule is used for recognizing voice information of a user, and the image recognition submodule is used for recognizing a target object.
The image identification submodule comprises a camera module, and generates an image by scanning a target object, wherein the camera module is a camera. The control module comprises a display, a sounder and a controller, wherein the display and the sounder are respectively connected with the controller, and the display is a touch display screen.
The invention also comprises a method for preventing the electric power operation fault of the electric power safety knowledge learning robot, which comprises the following steps:
step one, clicking a touch display screen to select a mode, wherein the mode comprises a question answering mode and a training mode,
step two, if a question-answering mode is selected, continuing to perform tool selection identification or knowledge question-answering by clicking the touch display screen, if tool selection identification is selected, scanning the target object through the camera to generate an image, then performing information comparison in the database through the controller, displaying related information of the target object in the touch display screen after determination and performing voice answering through the sounder, so that a user can know about the tool which is not known or understood and understand how to operate; if the knowledge question and answer is selected, the voice information of the user is identified, information comparison is carried out in the database through the controller, then the relevant information of the target object is displayed in the touch display screen, voice answer is carried out through the sounder, and answer is carried out aiming at the knowledge which is not understood by the user, so that the method is accurate and efficient, and saves labor and time;
or the training mode is selected, the touch display screen is continuously clicked to select the content of the electric power safety knowledge for training, then the content is directly displayed in the touch display screen and is played through a sounder, the training can be carried out on a certain number of workers at the same time, a special teacher is not needed to explain, a large amount of manpower and material resources are saved, meanwhile, due to the fact that error possibly occurs in artificial training, the knowledge learned by the learners can also be in wrong places, errors can occur during working, work is influenced, and even safety problems occur, the robot works due to a preset program, the problem generally can not occur, and the knowledge stored in the database can be updated regularly.
And step three, clicking the touch display screen to finish.
And after the operation of the second step is finished, the touch display screen pops up a dialog box to send out an inquiry to the user to inquire whether the user continues, the user determines whether the user continues by clicking the touch display screen, if so, the step is repeated, and if not, the step three is carried out.
Example two
As shown in fig. 3, the present embodiment has substantially the same structure as the first embodiment, except that: the control module is connected with the sensor module, the sensor module includes infrared sensor and distance sensor, can make robot automatic start according to the distance between staff and the robot, makes staff's low coverage stand when the robot is in the front of, can automatic start, then operates, need not hand switch, convenient and fast, convenient to use.
EXAMPLE III
As shown in fig. 4-5, the structure of this embodiment is substantially the same as that of the second embodiment, except that:
the identification module also comprises a judgment submodule used for comparing whether the answer of the user is consistent with the answer stored in the database.
The training mode comprises an assessment mode, and specifically comprises the following steps: the method comprises the steps of asking questions of an examinee, carrying out voice recognition on answers of the examinee, comparing the answers of the examinee with answers stored in a database through a controller, judging whether the answers of the examinee are consistent with the answers stored in the database through a judgment submodule, if so, judging whether the answers are correct or not, if not, judging whether the answers are wrong, and correcting the answers to wrong questions on a display; the correct question is displayed directly in the display and is prompted by a sounder voice.
The working principle is as follows: the robot sends a question through a sounder, the examinee answers in voice, the voice information of the examinee is identified, then the answer is compared with the answer stored in the database through a controller, whether the answer is consistent or not is judged, if the answer is consistent, the answer is correct, the answer is directly displayed in a display and is prompted through the sounder in voice; if the answer is wrong, the correct answer of the wrong question is displayed on a display, so that the person under examination can know which places are insufficient, and the person under examination can further learn the knowledge which is not understood.
Finally, the above embodiments are only used for illustrating the technical solutions of the present invention and not for limiting, and other modifications or equivalent substitutions made by the technical solutions of the present invention by those of ordinary skill in the art should be covered within the scope of the claims of the present invention as long as they do not depart from the spirit and scope of the technical solutions of the present invention.
Claims (7)
1. An electric power safety knowledge learning robot, comprising:
an identification module for identifying information according to the instruction of the user,
a database for storing images, text introduction and related power safety knowledge of the power tool,
a control module used for working according to the instruction of the user,
the recognition module and the database are respectively connected with the control module, the recognition module comprises a voice recognition submodule and an image recognition submodule, the voice recognition submodule is used for recognizing voice information of a user, and the image recognition submodule is used for recognizing a target object.
2. The electric power safety knowledge learning robot of claim 1, wherein: the image identification sub-module comprises a camera module.
3. The electric power safety knowledge learning robot of claim 1, wherein: the control module comprises a display, a sounder and a controller, wherein the display and the sounder are respectively connected with the controller.
4. The electric power safety knowledge learning robot of claim 1, wherein: the control module is connected with a sensor module.
5. The electric power safety knowledge learning robot of claim 4, wherein: the sensor module includes an infrared sensor and a distance sensor.
6. The method for preventing the power operation fault of the power safety knowledge learning robot according to any one of claims 1 to 5, wherein: comprises the following steps:
step one, selecting modes, wherein the modes comprise a question answering mode and a training mode,
step two, if the question answering mode is selected, continuing to perform tool selection identification or knowledge question answering, if the tool selection identification is selected, scanning the target object to generate an image, performing information comparison in a database through a controller, displaying related information of the target object in a display and performing voice answering through a sounder; if the knowledge question and answer is selected, the voice information of the user is identified, the information is compared in the database through the controller, then the related information of the target object is displayed in the display, and the voice answer is carried out through the sounder;
or selecting a training mode, selecting the content of the training electric power safety knowledge, directly displaying the content in a display and playing the content through a sound generator;
and step three, ending.
7. The method for preventing power operation failure of the power safety knowledge learning robot according to claim 6, wherein: and after the operation of the second step is finished, sending an inquiry to the user, if the inquiry is continued, repeating the step if the inquiry is continued, and otherwise, performing the third step or returning to the first step.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811246072.9A CN111086008A (en) | 2018-10-24 | 2018-10-24 | Electric power safety knowledge learning robot and method for preventing electric power operation fault |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811246072.9A CN111086008A (en) | 2018-10-24 | 2018-10-24 | Electric power safety knowledge learning robot and method for preventing electric power operation fault |
Publications (1)
Publication Number | Publication Date |
---|---|
CN111086008A true CN111086008A (en) | 2020-05-01 |
Family
ID=70392152
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201811246072.9A Pending CN111086008A (en) | 2018-10-24 | 2018-10-24 | Electric power safety knowledge learning robot and method for preventing electric power operation fault |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN111086008A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113539267A (en) * | 2021-07-27 | 2021-10-22 | 广东电网有限责任公司 | Metering acquisition operation and maintenance device and method |
Citations (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2009222969A (en) * | 2008-03-17 | 2009-10-01 | Toyota Motor Corp | Speech recognition robot and control method for speech recognition robot |
CN105093986A (en) * | 2015-07-23 | 2015-11-25 | 百度在线网络技术(北京)有限公司 | Humanoid robot control method based on artificial intelligence, system and the humanoid robot |
CN105243142A (en) * | 2015-10-10 | 2016-01-13 | 安徽尚舟电子科技有限公司 | Intelligent information push method based on augmented reality and visual computation |
CN105468142A (en) * | 2015-11-16 | 2016-04-06 | 上海璟世数字科技有限公司 | Interaction method and system based on augmented reality technique, and terminal |
CN105488164A (en) * | 2015-11-30 | 2016-04-13 | 北京光年无限科技有限公司 | Question and answer (QA) data processing method and device, intelligent robot |
CN105895101A (en) * | 2016-06-08 | 2016-08-24 | 国网上海市电力公司 | Speech processing equipment and processing method for power intelligent auxiliary service system |
CN106127526A (en) * | 2016-06-30 | 2016-11-16 | 佛山市天地行科技有限公司 | Intelligent robot system and method for work thereof |
CN106407993A (en) * | 2016-09-13 | 2017-02-15 | 成都创慧科达科技有限公司 | Intelligent voice robot system based on image recognition technology and method thereof |
CN107493352A (en) * | 2017-10-09 | 2017-12-19 | 陈包容 | A kind of mthods, systems and devices of tangible machine people intelligent training |
CN108108900A (en) * | 2017-12-22 | 2018-06-01 | 中山市榄商置业发展有限公司 | A kind of customer service system based on information technology |
-
2018
- 2018-10-24 CN CN201811246072.9A patent/CN111086008A/en active Pending
Patent Citations (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2009222969A (en) * | 2008-03-17 | 2009-10-01 | Toyota Motor Corp | Speech recognition robot and control method for speech recognition robot |
CN105093986A (en) * | 2015-07-23 | 2015-11-25 | 百度在线网络技术(北京)有限公司 | Humanoid robot control method based on artificial intelligence, system and the humanoid robot |
CN105243142A (en) * | 2015-10-10 | 2016-01-13 | 安徽尚舟电子科技有限公司 | Intelligent information push method based on augmented reality and visual computation |
CN105468142A (en) * | 2015-11-16 | 2016-04-06 | 上海璟世数字科技有限公司 | Interaction method and system based on augmented reality technique, and terminal |
CN105488164A (en) * | 2015-11-30 | 2016-04-13 | 北京光年无限科技有限公司 | Question and answer (QA) data processing method and device, intelligent robot |
CN105895101A (en) * | 2016-06-08 | 2016-08-24 | 国网上海市电力公司 | Speech processing equipment and processing method for power intelligent auxiliary service system |
CN106127526A (en) * | 2016-06-30 | 2016-11-16 | 佛山市天地行科技有限公司 | Intelligent robot system and method for work thereof |
CN106407993A (en) * | 2016-09-13 | 2017-02-15 | 成都创慧科达科技有限公司 | Intelligent voice robot system based on image recognition technology and method thereof |
CN107493352A (en) * | 2017-10-09 | 2017-12-19 | 陈包容 | A kind of mthods, systems and devices of tangible machine people intelligent training |
CN108108900A (en) * | 2017-12-22 | 2018-06-01 | 中山市榄商置业发展有限公司 | A kind of customer service system based on information technology |
Non-Patent Citations (4)
Title |
---|
周鸣争: "《大数据导论》", 31 March 2018, 中国铁道出版社 * |
戴自更: "《创客 寻找影响未来的伟大公司》", 28 February 2017, 中央编译出版社 * |
王贵水: "《你一定要懂的科技知识》", 28 February 2015, 北京工业大学出版社 * |
雷宗友: "《高端装备制造产业》", 30 June 2014, 海科学技术文献出版社 * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113539267A (en) * | 2021-07-27 | 2021-10-22 | 广东电网有限责任公司 | Metering acquisition operation and maintenance device and method |
CN113539267B (en) * | 2021-07-27 | 2023-11-07 | 广东电网有限责任公司 | Metering acquisition operation and maintenance device and method |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
EP0446208B1 (en) | Language training | |
CN109271585B (en) | Information pushing method and family education equipment | |
US9786199B2 (en) | System and method for assisting language learning | |
RU2010104996A (en) | DEVICE, SYSTEM AND METHOD OF ADAPTIVE TEACHING AND TRAINING | |
CN104978971B (en) | A kind of method and system for evaluating spoken language | |
JP6917844B2 (en) | Work support system, work support method and work support program | |
CN108615427A (en) | A kind of elevator laboratory teaching system and method based on virtual reality technology | |
CN107274736B (en) | A kind of interactive Oral English Practice speech sound teaching apparatus in campus | |
JPWO2012127580A1 (en) | Questioning apparatus and questioning method | |
US8221126B2 (en) | System and method for performing programmatic language learning tests and evaluations | |
CN109830138B (en) | Radar equipment simulation training system | |
CN107863098A (en) | A kind of voice identification control method and device | |
CN111086008A (en) | Electric power safety knowledge learning robot and method for preventing electric power operation fault | |
JP2002082595A (en) | Remote learning method and controller for remote learning | |
CN117290484A (en) | Intelligent question-answering system and method for automobile fault positioning and maintenance suggestion | |
CN111312255A (en) | Pronunciation self-correcting device for word and pinyin tones based on voice recognition | |
JPWO2012131948A1 (en) | Questioning apparatus and questioning method | |
CN108320592A (en) | A kind of autocontrol Oral English Practice pronunciation exercises system and method | |
US20100143874A1 (en) | Language skills teaching method and apparatus | |
JP2008165193A (en) | Operator training device for production environment and method of using the same | |
CN113674572A (en) | Method and system for prompting student to answer questions through playing voice | |
CN113379207A (en) | Control method of practical training platform, practical training platform and readable storage medium | |
CN114255623A (en) | Teaching method and system based on robot | |
CN107038286B (en) | Power grid simulation method and device | |
CN111465125A (en) | Remote tutoring system based on mobile terminal |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200501 |