CN113299416A - Intelligent identification system and method for operation intention of nuclear power plant operator - Google Patents
Intelligent identification system and method for operation intention of nuclear power plant operator Download PDFInfo
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- G—PHYSICS
- G21—NUCLEAR PHYSICS; NUCLEAR ENGINEERING
- G21D—NUCLEAR POWER PLANT
- G21D3/00—Control of nuclear power plant
- G21D3/008—Man-machine interface, e.g. control room layout
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- G—PHYSICS
- G21—NUCLEAR PHYSICS; NUCLEAR ENGINEERING
- G21D—NUCLEAR POWER PLANT
- G21D3/00—Control of nuclear power plant
- G21D3/04—Safety arrangements
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E30/00—Energy generation of nuclear origin
Abstract
The invention relates to the technical field of nuclear power operation and maintenance, and particularly discloses a system and a method for intelligently identifying operation intentions of operators in a nuclear power plant. The object detection module in the system can collect and identify the object type in the operation environment image; the code identification module is connected with the object detection module and can identify and obtain the code information of the equipment in the image acquired by the object detection module; the depth information module can calculate and obtain the depth information of the operating environment; and the intention identification module fuses the information and judges and obtains the operation intention of the operator on certain equipment according to the space distance threshold value and the space distance change trend value of the hand or the tool of the operator and the certain equipment. The system and the method can accurately and stably identify the operation intention of the nuclear power plant operator, and assist in solving the problem of human errors in the manual operation process.
Description
Technical Field
The invention belongs to the technical field of nuclear power operation and maintenance, and particularly relates to an intelligent identification system and method for operation intentions of operators in a nuclear power plant.
Background
Safety production is a permanent topic in the industrial field, and particularly in the nuclear power field, nuclear safety is always the first place. The reactor of each nuclear power plant is involved in a large number of control operations including but not limited to various tests and the like under various operating states such as cold stop, hot stop, critical state, hot standby state, power operation and the like and during various state transition periods, most of the operations have higher execution risks, if the operations are improper, the operations cause unit transient state, if the operations are not proper, the operations directly cause reactor shutdown or equipment damage, the economic benefit of the power plant is directly influenced, and the nuclear safety is seriously threatened.
In order to guarantee the accuracy of various operations and prevent human errors, each nuclear power plant requires that a human error prevention tool is used in all the works, and most of the human error prevention tools are based on operation intention identification.
At present, each nuclear power plant assigns professionals to judge the operation intention of operators, so that a large amount of manpower is consumed, and the judgment accuracy and stability cannot be guaranteed due to inherent limitations of people. In recent years, with the development of technologies such as big data, internet of things, artificial intelligence and the like, the construction of safer and more intelligent power plants is scheduled by various domestic nuclear power plants, and under the background, an intelligent operation intention identification method has wide requirements, but no related technology or patent exists in the market at present.
Disclosure of Invention
The invention aims to provide an intelligent identification system and method for the operation intention of a nuclear power plant operator, which can accurately and stably identify the operation intention of the nuclear power plant operator and help solve the problem of human error of the nuclear power plant.
The technical scheme of the invention is as follows: an intelligent identification system for an operation intention of a nuclear power plant operator comprises an intention identification module, an object detection module, a coding identification module and a depth information module, wherein the object detection module, the coding identification module and the depth information module are all connected with the intention identification module, and the object detection module can collect and identify the type of an object in an operation environment image and transmit the type of the object to the intention identification module; the code identification module is connected with the object detection module, can identify and acquire code information of equipment in an image acquired by the object detection module, and transmits the code information to the intention identification module; the depth information module can calculate and obtain the depth information of the operating environment identified by the object detection module and transmit the depth information to the intention identification module. The intention identification module is used for correlating the equipment information and the coding information, calculating and obtaining a distance threshold value and a distance change trend value of the hand or the tool of the operator and each piece of equipment, and judging and obtaining the operation intention of the operator on a certain piece of equipment.
The code recognition module can receive the device code image acquired by the object detection module, recognize the device code information in the acquired image, and transmit the code information of the recognized acquired device to the intention recognition module.
The code recognition module can also receive the environment whole image collected by the object detection module, recognize the equipment code information in the image, and transmit the equipment code information obtained by recognition to the intention recognition module.
The object detection module can acquire images of the operating environment and identify object types and plane position information in the images, including but not limited to identifying rotary switches, test switches, indicator lights, alarm windows, current/voltage meters, equipment identifiers, human hands or operating tools.
The system also comprises an instruction identification module, wherein the instruction identification module can collect the voice of an operator in real time, recognize the collected voice, convert text information, transmit the text information to the intention identification module for processing, and obtain the equipment position number and the operation state contained in the voice as the operation intention signal.
The intention identification module may associate the object type identified by the object detection module with the device code information identified by the code identification module; meanwhile, the depth information of the operating environment acquired by the depth information module is utilized to integrally acquire a spatial position matrix for identifying the environmental equipment and spatial position information of the human hand or the tool; and calculating the space distance between the human hand or the tool of the operator and each identified device, and taking the device as the operation intention signal after judging that the distance is less than a set threshold value.
The intention recognition module can also calculate the close change rate of the spatial distance between the human hand or the tool of the operator and each recognized device, and takes the device with the fastest change rate as the operation intention signal.
An intelligent identification method for operation intention of nuclear power plant operators comprises the following steps:
s1, acquiring an environment image in real time, and identifying an image object;
s2, identifying the device code in the image, and associating with the device contained in the image;
s3, obtaining environmental depth information in the image, and combining the environmental depth information with the type, the code and the plane position information of the identification equipment to form a space position matrix of the equipment;
s4, judging whether the camera of the collected image has large-amplitude movement or not, and updating the spatial position matrix of the image equipment in real time when the camera of the collected image has the large-amplitude movement;
and S5, acquiring and identifying the spatial position of the hand or the tool of the operator, calculating the spatial distance between the hand or the tool of the operator and each piece of equipment, and forming an operation intention signal of the operator to the equipment after the spatial distance is smaller than a set threshold value.
An intelligent identification method for operation intention of nuclear power plant operators comprises the following steps:
s1, acquiring an environment image in real time, and identifying an image object;
s2, identifying the device code in the image, and associating with the device contained in the image;
s3, obtaining environmental depth information in the image, and combining the environmental depth information with the type, the code and the plane position information of the identification equipment to form a space position matrix of the equipment;
s4, judging whether the camera of the collected image has large-amplitude movement or not, and updating the spatial position matrix of the image equipment in real time when the camera of the collected image has the large-amplitude movement;
and S5, acquiring and identifying the spatial position of the hand or the tool of the operator, calculating the shortening change rate of the spatial distance between the hand or the tool of the operator and all the devices in the acquired image, and selecting the device corresponding to the maximum value of the change rate as the operation intention of the hand or the tool of the operator.
The image device identification in the step S1 is to collect images of the operating environment of the nuclear power plant, identify the device type and the plane position information of the collected images, and transmit the identified device type and position information to the intention identification module for operation intention identification.
The code recognition of the image device in S2 specifically includes: identifying the device coding information in the device coding image identified in the step S1 to obtain the coding information of the device; or directly identifying the acquired image to acquire the equipment coding information in the image; the encoding information identified in the image is associated with the device type and location information identified in S1.
The device spatial position matrix in the S3 includes the type of the device, the device code, the plane position information, and the depth information of the operating environment is obtained by using a binocular algorithm or a laser radar, a millimeter wave radar, or other technologies.
The method also comprises the steps of collecting and identifying the voice command of the operator in the operating environment, extracting the equipment position number and the operated state information in the voice command, and using the equipment position number and the operated state which are output in real time as the operation intention signal.
The invention has the following remarkable effects: the intelligent identification system and method for the operation intention of the nuclear power plant operator can accurately and stably identify the operation intention of the nuclear power plant operator, provide operation intention signals of the operator for other intelligent systems of the nuclear power plant, so that the operator can be timely reminded, operation errors can be prevented, and the problem of human errors in the manual operation process can be solved.
Drawings
FIG. 1 is a schematic diagram of an intelligent identification system for an operating intention of a nuclear power plant operator according to the present invention;
fig. 2 is a flow chart of an intelligent identification method for the operation intention of the nuclear power plant operator according to the present invention.
Detailed Description
The invention is described in further detail below with reference to the figures and the embodiments.
As shown in fig. 1, an intelligent identification system for an operation intention of a nuclear power plant operator includes an intention identification module, an object detection module, a coding identification module, an instruction identification module and a depth information module, wherein the object detection module can collect images in an operation environment of the nuclear power plant, identify types of objects through the collected images, including but not limited to identifying a rotary switch, a test switch, an indicator light, an alarm window, a current/voltage meter, an equipment identifier, a hand or an operation tool, and identify position information of each equipment according to information such as an equipment state and a key node required; the object detection module is connected with the intention identification module and transmits the information such as the equipment category, the position and the like acquired and identified by the object detection module to the intention identification module for intention identification processing;
in addition, the object detection module is connected with the code recognition module and sends the original image collected in the recognition environment or the recognized equipment identification image to the code recognition module for recognition processing, wherein the code recognition module can receive the equipment code image transmitted by the object detection module, recognize characters in the obtained image and transmit the recognition result to the intention recognition module connected with the code recognition module for intention recognition; meanwhile, the code recognition module can also recognize the whole image of the recognition environment collected by the object detection module, acquire the equipment code information in the whole image and transmit the recognition result to the intention recognition module; the code identification module can switch the automatic identification mode according to the equipment code image or the identification environment integral image acquired from the object detection module;
the intention recognition module is also connected with the instruction recognition module, and can collect and recognize the voice of the nuclear power plant operating personnel through the instruction recognition module and convert the recognized language into text information to be transmitted to the intention recognition module; meanwhile, the intention identification module is also connected with the depth information module, the depth information module can be used for measuring and calculating the depth of an object in the collected image, and the depth information is transmitted to the intention identification module for processing; the intention identification module links the equipment code and the detected equipment according to the equipment code and the equipment category information which are collected and identified by the object detection module and the code identification module, and forms a space position matrix of the equipment according to the corresponding equipment plane position and depth information which are collected and obtained by the object detection module and the depth information module; meanwhile, according to the obtained equipment space position matrix, calculating the space distance between the hand or the held tool of the operator and each operable equipment, and judging that the operator forms an operation intention signal for the operating equipment when the space distance is smaller than a set threshold value; in addition, calculating that the shortening and changing rate of the space distance between the hand or the held tool of the operator and each operable device is the fastest, and judging that the operator forms an operation intention signal for the operating device;
when the intention recognition module obtains an operation intention signal according to the instruction recognition module, the intention recognition module collects the voice of an operator in a recognition environment in real time, recognizes the collected voice instruction and converts the voice instruction into characters, for example, "make 650CC to P2", extracts the equipment bit number appearing in the voice instruction and the state information to be operated, such as "650 CC, P2", and takes the output equipment bit number and the state to be operated as the operation intention signal in real time;
when the intention identification module obtains an operation intention signal through the object detection module, the coding identification module and the depth information module, the object detection module is used for collecting images in real time, detecting each device in the images, and identifying and obtaining the category and the position information of output devices, such as output' selection switches, [ x1, y1, x2, y2 ]; respectively identifying and obtaining the equipment code and the equipment depth by adopting a code identification module and a depth information module, wherein the code identification module can receive equipment label information [ x3, y3, x4 and y4] detected by an object detection module, intercept a corresponding region in an image, identify the region by characters, and identify equipment code information, such as 650 CC; in addition, the code recognition module can also receive the same image of the object detection module and recognize the information and position of each character in the image, such as "650 CC, [ x3 ', y 3', x4 ', y 4' ]"; the depth information module calculates and obtains the depth z of the equipment by adopting a binocular algorithm or technologies such as a laser radar and a millimeter wave radar; combining the positions of the points or key points of all the identified devices with the depth to form a device space position matrix; detecting whether the camera moves greatly according to an image acquired in real time or a gyroscope in the camera, detecting whether a hand or a tool appears in the image, detecting whether the camera does not move greatly when the camera is obtained, detecting the pixel position of the hand or the tool when the hand or the tool is detected, acquiring the midpoint or a key node [ x _1, y _1] of the pixel position, calculating the depth z _1 of the pixel position, and calculating the distance between the spatial position [ x _1, y _1, z _1] of the hand or the tool and each device in the device spatial position matrix and the variation trend thereof:
d＝(x_1-x)2+(y_1-y)2+(z_1-z)2
d’＝2(x_1-x)+2(y_1-y)+2(z_1-z)
when the distance d between the space position of the hand or the tool and certain operable equipment is smaller than a set threshold value, judging that the space position of the hand or the tool is an operation intention signal aiming at the equipment; and/or when the distance shortening change trend d 'of the space position of the human hand or the tool and a certain device is the maximum value of all possible operation devices, judging that the distance shortening change trend d' is an operation intention signal aiming at the device.
Claims (13)
1. An intelligent identification system for operation intentions of operators in a nuclear power plant is characterized by comprising an intention identification module, an object detection module, a coding identification module and a depth information module, wherein the object detection module, the coding identification module and the depth information module are all connected with the intention identification module, and the object detection module can collect and identify equipment types in an operation environment image and transmit the equipment types to the intention identification module; the code identification module is connected with the object detection module, can identify and acquire code information of equipment in an image acquired by the object detection module, transmits the code information to the intention identification module, and associates the code information with the equipment information; the depth information module can calculate and obtain the depth information of the object detection module recognition equipment, and judge and obtain an operation intention signal of an operator to certain equipment according to a distance threshold value and a distance change trend value of the operator hand or tool and the certain equipment, which are acquired by the object detection module.
2. The system of claim 1, wherein the code recognition module is configured to receive a device code image collected by the object detection module, recognize characters in the obtained image, and transmit code information of the recognized device to the intention recognition module.
3. The system of claim 1, wherein the code recognition module receives the entire image of the recognition environment collected by the object detection module, recognizes the device code information in the image, and transmits the device code information obtained by recognition to the intention recognition module.
4. The intelligent identification system for the intention of operators in nuclear power plants according to claim 1, characterized in that the object detection module can collect images of the operation environment and identify the equipment type and position information in the images, including but not limited to identifying rotary switches, test switches, indicator lights, alarm windows, current/voltage meters, equipment identifiers, human hands or operation tools.
5. The system of claim 1, further comprising an instruction recognition module, wherein the instruction recognition module is capable of collecting voice of the operator in real time, recognizing the collected voice, converting text information, transmitting the text information to the intention recognition module for processing, and obtaining a device number and an operation state included in the voice as the operation intention signal.
6. The intelligent identification system for the intention of the operators of the nuclear power plant as claimed in claim 1, wherein the intention identification module can associate the type of the equipment identified by the object detection module with the coded information of the equipment identified by the coded identification module; meanwhile, acquiring depth information of corresponding equipment by using the depth information module, and integrally acquiring a spatial position matrix for identifying the environmental equipment; and identifying the space distance between the hand or the tool of the operator and the operating equipment through the object detection module, and taking the space distance as an operation intention signal formed on the operating equipment after judging that the space distance is smaller than a set threshold.
7. The intelligent identification system for the intention of the operators of the nuclear power plant as claimed in claim 1, wherein the intention identification module can associate the type of the equipment identified by the object detection module with the coded information of the equipment identified by the coded identification module; meanwhile, acquiring depth information of corresponding equipment by using the depth information module, and integrally acquiring a spatial position matrix for identifying the environmental equipment; and recognizing that the spatial distance between the hand or the tool of the operator and the operating equipment is closest to the change rate and taking the spatial distance as an operation intention signal formed for the operating equipment by the object detection module.
8. An intelligent identification method for the intention of operators in a nuclear power plant is characterized by specifically comprising the following steps:
s1, acquiring an environment image in real time, and identifying image equipment;
s2, identifying codes in the image equipment and associating the codes with the equipment of the image equipment;
s3, acquiring depth information of the equipment in the image, and combining the depth information with the type and position information of the identification equipment to form a space position matrix of the equipment;
s4, judging whether the camera of the collected image moves or not, and updating the spatial position matrix of the image equipment in real time when the camera of the collected image moves;
and S5, acquiring and identifying a space position matrix of the hand or the tool of the operator, calculating the space distance of the hand or the tool of the operator from a certain equipment, and forming an operation intention signal of the operator to the equipment after the space distance is smaller than a set threshold value.
9. An intelligent identification method for the intention of operators in a nuclear power plant is characterized by specifically comprising the following steps:
s1, acquiring an environment image in real time, and identifying image equipment;
s2, identifying codes in the image equipment and associating the codes with the equipment of the image equipment;
s3, acquiring depth information of the equipment in the image, and combining the depth information with the type and position information of the identification equipment to form a space position matrix of the equipment;
s4, judging whether the camera of the collected image moves or not, and updating the spatial position matrix of the image equipment in real time when the camera of the collected image moves;
and S5, acquiring and identifying a spatial position matrix of the hand or the tool of the operator, calculating the shortening change rate of the spatial distance between the hand or the tool of the operator and all the devices in the acquired image, and selecting the device corresponding to the maximum value of the change rate as the operation intention of the hand or the tool of the operator to the device.
10. The intelligent recognition method for the intention of the nuclear power plant operator according to claim 8 or 9, wherein the image device recognition in S1 is to perform image acquisition on the operating environment of the nuclear power plant, perform device type recognition and location information recognition on the acquired image, and the object detection module transmits the recognized device type and location information to the intention recognition module for operation intention recognition.
11. The intelligent identification method for the intention of the nuclear power plant operator according to claim 8 or 9, wherein the coded identification of the image device in the S2 specifically includes: recognizing characters in the device identification image recognized in the step S1 to obtain coding information of the device; or identifying the equipment in the acquired image and acquiring the equipment coding information in the image; the encoding information identified in the image is associated with the device type and location information identified in S1.
12. The intelligent identification method for the intention of the nuclear power plant operator according to claim 8 or 9, wherein the spatial position matrix of the equipment in the S3 includes the type of the equipment, the equipment number, position information and depth information, and the depth information of the equipment in the operating environment is obtained through a binocular algorithm or a TOF technology.
13. The intelligent identification method for the intention of the operators in the nuclear power plant as claimed in claim 8 or 9, characterized in that the method further comprises the steps of collecting and identifying voice commands of the operators in the operating environment, extracting the equipment position numbers and the operated state information in the voice commands, and using the real-time output equipment position numbers and the states to be operated as the operation intention signals.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114358719A (en) * | 2021-12-24 | 2022-04-15 | 宁波欧依安盾安全科技有限公司 | Nuclear power station digital twin visualization instrument control electrical operation regulation method and system |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102129292A (en) * | 2010-01-15 | 2011-07-20 | 微软公司 | Recognizing user intent in motion capture system |
| CN102662586A (en) * | 2012-03-31 | 2012-09-12 | 奇智软件（北京）有限公司 | User interface based operation triggering method and operation triggering device and terminal equipment |
| CN105425954A (en) * | 2015-11-04 | 2016-03-23 | 哈尔滨工业大学深圳研究生院 | Human-computer interaction method and system applied to smart home |
| CN105929947A (en) * | 2016-04-15 | 2016-09-07 | 济南大学 | Scene situation perception based man-machine interaction method |
| US20180217671A1 (en) * | 2016-02-23 | 2018-08-02 | Sony Corporation | Remote control apparatus, remote control method, remote control system, and program |
| CN108733208A (en) * | 2018-03-21 | 2018-11-02 | 北京猎户星空科技有限公司 | The I-goal of smart machine determines method and apparatus |
| CN111475021A (en) * | 2020-04-02 | 2020-07-31 | 上海龙旗科技股份有限公司 | Method, system and equipment for pre-judging user action |
| CN111931605A (en) * | 2020-07-23 | 2020-11-13 | 中核核电运行管理有限公司 | Intelligent monitoring system and method for high-risk operation of nuclear power plant |
-
2021
- 2021-04-29 CN CN202110472106.1A patent/CN113299416A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102129292A (en) * | 2010-01-15 | 2011-07-20 | 微软公司 | Recognizing user intent in motion capture system |
| CN102662586A (en) * | 2012-03-31 | 2012-09-12 | 奇智软件（北京）有限公司 | User interface based operation triggering method and operation triggering device and terminal equipment |
| CN105425954A (en) * | 2015-11-04 | 2016-03-23 | 哈尔滨工业大学深圳研究生院 | Human-computer interaction method and system applied to smart home |
| US20180217671A1 (en) * | 2016-02-23 | 2018-08-02 | Sony Corporation | Remote control apparatus, remote control method, remote control system, and program |
| CN105929947A (en) * | 2016-04-15 | 2016-09-07 | 济南大学 | Scene situation perception based man-machine interaction method |
| CN108733208A (en) * | 2018-03-21 | 2018-11-02 | 北京猎户星空科技有限公司 | The I-goal of smart machine determines method and apparatus |
| CN111475021A (en) * | 2020-04-02 | 2020-07-31 | 上海龙旗科技股份有限公司 | Method, system and equipment for pre-judging user action |
| CN111931605A (en) * | 2020-07-23 | 2020-11-13 | 中核核电运行管理有限公司 | Intelligent monitoring system and method for high-risk operation of nuclear power plant |
Non-Patent Citations (1)
| Title |
|---|
| 刘格: "基于上肢运动预测的人机交互与意图识别研究", 《中国优秀博硕士学位论文全文数据库 科技信息辑》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114358719A (en) * | 2021-12-24 | 2022-04-15 | 宁波欧依安盾安全科技有限公司 | Nuclear power station digital twin visualization instrument control electrical operation regulation method and system |
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Application publication date: 20210824 |
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