CN113609643B - Time acquisition method and system for digital operation basic action unit of nuclear power station - Google Patents
Time acquisition method and system for digital operation basic action unit of nuclear power station Download PDFInfo
- Publication number
- CN113609643B CN113609643B CN202110757939.2A CN202110757939A CN113609643B CN 113609643 B CN113609643 B CN 113609643B CN 202110757939 A CN202110757939 A CN 202110757939A CN 113609643 B CN113609643 B CN 113609643B
- Authority
- CN
- China
- Prior art keywords
- basic action
- action unit
- time
- library
- nuclear power
- 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.)
- Active
Links
- 230000009471 action Effects 0.000 title claims abstract description 184
- 238000000034 method Methods 0.000 title claims abstract description 70
- 238000012360 testing method Methods 0.000 claims abstract description 50
- 230000004044 response Effects 0.000 claims abstract description 49
- 238000012545 processing Methods 0.000 claims abstract description 13
- 230000008569 process Effects 0.000 claims description 25
- 230000002159 abnormal effect Effects 0.000 claims description 15
- 238000010977 unit operation Methods 0.000 claims description 8
- 238000004364 calculation method Methods 0.000 claims description 6
- 238000004590 computer program Methods 0.000 claims description 6
- 230000005856 abnormality Effects 0.000 claims description 4
- 238000004458 analytical method Methods 0.000 description 10
- 238000011156 evaluation Methods 0.000 description 9
- 238000013461 design Methods 0.000 description 8
- 238000010586 diagram Methods 0.000 description 5
- 230000006399 behavior Effects 0.000 description 4
- 238000011161 development Methods 0.000 description 4
- 238000012544 monitoring process Methods 0.000 description 4
- 238000007405 data analysis Methods 0.000 description 3
- 230000007547 defect Effects 0.000 description 2
- 238000013213 extrapolation Methods 0.000 description 2
- 238000000556 factor analysis Methods 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000011158 quantitative evaluation Methods 0.000 description 2
- 238000004088 simulation Methods 0.000 description 2
- 238000007619 statistical method Methods 0.000 description 2
- 230000008901 benefit Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000001149 cognitive effect Effects 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 230000002950 deficient Effects 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 239000011521 glass Substances 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000007781 pre-processing Methods 0.000 description 1
- 238000004445 quantitative analysis Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 239000000725 suspension Substances 0.000 description 1
- 238000012549 training Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
- 230000001052 transient effect Effects 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
-
- G—PHYSICS
- G21—NUCLEAR PHYSICS; NUCLEAR ENGINEERING
- G21D—NUCLEAR POWER PLANT
- G21D3/00—Control of nuclear power plant
- G21D3/001—Computer implemented control
-
- 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E30/00—Energy generation of nuclear origin
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- Computational Mathematics (AREA)
- Mathematical Analysis (AREA)
- Mathematical Physics (AREA)
- Pure & Applied Mathematics (AREA)
- Mathematical Optimization (AREA)
- Plasma & Fusion (AREA)
- Algebra (AREA)
- High Energy & Nuclear Physics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Operations Research (AREA)
- Probability & Statistics with Applications (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Evolutionary Biology (AREA)
- Life Sciences & Earth Sciences (AREA)
- Software Systems (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- Geometry (AREA)
- Testing And Monitoring For Control Systems (AREA)
Abstract
The invention relates to a time acquisition method and a system of a digital operation basic action unit of a nuclear power station, wherein the time acquisition method comprises the following steps: calling out a pre-established accident test scenario library; acquiring screen recording information of a display interface of the digital full-range analog machine and acquiring on-site audio and video information so as to acquire the screen recording and video recording information; analyzing the screen recording and video recording information to obtain the operation time of each operator for implementing each basic action unit; according to the operation time of each basic action unit and the corresponding equipment response time in the equipment response time library, a plurality of implementation time of each basic action unit is respectively determined; and respectively carrying out statistical processing on a plurality of implementation times of each basic action unit so as to obtain the statistical mean value of the implementation times of each basic action unit, and outputting the statistical mean value. By implementing the technical scheme of the invention, the acquisition of the time data of the basic action unit operated by the digital man-machine interface can be systematically, objectively and reproducibly realized.
Description
Technical Field
The invention relates to the field of digital man-machine interaction, in particular to a time acquisition method and a system for a digital operation basic action unit of a nuclear power station.
Background
The master control room is a control center of the nuclear power plant and provides monitoring, control and management functions for operators, and the operators complete monitoring of the power plant in the master control room. With the development of informatization technology, a digital master control room is basically adopted in a newly built nuclear power plant, and digital transformation is also carried out on part of the analog disc table type control nuclear power plant. Compared with the traditional analog disc table type control, the digital control brings about fundamental change of the operation characteristics of the human-computer interface, however, the operation characteristics of the human-computer interface are the basis for supporting numerous fields such as human-computer interface design, personnel task analysis, performance evaluation, reliability analysis and the like.
The method is limited by the difficulties of unclear data acquisition objects and establishment of acquisition scenes, the acquisition process and method are too subjective, available data are deficient and the availability of data is poor, the existing quantitative analysis and evaluation work in the fields is still based on the data acquired by the traditional analog disk table type man-machine interface, the quantitative design, analysis and evaluation applicability of the advanced digital man-machine interface is widely questioned and criticized, the credibility of each work based on the quantitative design, analysis and evaluation applicability is severely restricted, and a set of digital operation basic action time acquisition process is needed to be developed to establish a database which is suitable for the characteristics of the digital control man-machine interface.
At present, the existing basic action time acquisition flow has the following defects:
1. the existing related technical scheme and data are collected based on the traditional analog disk table type interface, and along with the development of society, the design, automation, digital level, man-machine interface characteristics, operator characteristics, data application scenes and requirements of a power plant have changed greatly; the applicability of the digital man-machine interface to the advanced digital man-machine interface is widely questioned and criticized, and the credibility of the work based on the digital man-machine interface is severely restricted;
2. The existing main stream data adopts basic data mainly disclosed in the United states, but different countries and nations have different cultural education backgrounds, social environments and material conditions, so that different thinking modes and behavior modes of people are determined, and whether foreign data are suitable for national conditions of China is also questionable;
3. the data currently used are mainly expert judgment data or power plant logs, simple statistical data of operation events or data obtained by extrapolation from original data according to a certain rule, and the data are excessively dependent on classification of cognitive psychology (diagnosis, pressure, complexity and the like) to a certain extent, so that the data are poor in universality and are not more derived from actual original data, and whether the expert judgment and extrapolation rule is reasonable or not is difficult to give convincing evidence;
4. the existing foreign data are often from a plurality of different types of power plants or simulators, the representativeness is wide, but the application precision is not enough;
5. The prior technical scheme mainly collects, classifies and evaluates single manipulation reliability influence factors from the angle of human error rate statistics, does not consider each factor as a whole, and cannot comprehensively reflect manipulation characteristics of operators and serve other analysis and evaluation fields.
Disclosure of Invention
The invention aims to solve the technical problem of providing a time acquisition method and a system for a digital operation basic action unit of a nuclear power station aiming at the defects in the prior art.
The technical scheme adopted for solving the technical problems is as follows: a time acquisition method for constructing a digital operation basic action unit of a nuclear power station comprises the following steps:
s10, calling out a pre-established accident test scene library;
S20, when a plurality of groups of operators execute the digitalized operation of the selected accident situation response work on the digitalized full-range simulator according to the operation rules in sequence, acquiring screen recording information of a display interface of the digitalized full-range simulator and acquiring on-site audio and video information so as to acquire the screen recording and video recording information;
s30, calling a comparison library of a predetermined basic action unit type and an operation picture type and a running rule path library corresponding to the selected accident test scene, and analyzing the screen recording and video recording information to obtain the operation time of each operator for implementing each basic action unit;
s40, calling a preset equipment response time library, and respectively determining a plurality of implementation times of each basic action unit according to the operation time of each basic action unit and the corresponding equipment response time in the equipment response time library;
And S50, respectively carrying out statistical processing on a plurality of implementation times of each basic action unit so as to obtain the statistical mean value of the implementation time of each basic action unit, and outputting the statistical mean value.
Preferably, after the step S50, the method further includes:
And S60, storing the statistical average value of the implementation time of each basic action unit into a basic action implementation time library.
Preferably, after the step S20, the method further includes:
and S70, judging whether the corresponding accident test scene response process is abnormal or not according to the screen recording and video recording information, and/or judging whether the operation action process of the corresponding operator is invalid or abnormal or not, and if so, outputting prompt information.
Preferably, after the step S30, the method further includes:
S80, calling a basic action unit theoretical time base, and judging whether the acquired operation time of each basic action unit needs to be revised or not by comparing the theoretical time of each basic action unit with the operation time of the corresponding basic action unit acquired in the step S30.
Preferably, after the step S30, the method further includes:
And S90, calling a basic action unit operation time limit value library, and judging whether the operation time of the basic action unit acquired in the step S30 needs to be revised.
Preferably, the step S50 includes:
S51, carrying out logarithmic calculation on implementation time corresponding to a plurality of operators for each basic action unit so as to obtain a plurality of logarithmic values;
S52, calculating an average value of the plurality of logarithmic values and carrying out standard deviation test;
And S53, performing anti-logarithmic calculation on the average value qualified by the standard deviation test to obtain an implementation time statistical average value of the corresponding basic action unit.
The invention also constructs a time acquisition system of the digital operation basic action unit of the nuclear power station, which comprises a processor and a memory storing a computer program, wherein the processor realizes the steps of the time acquisition method of the digital operation basic action unit of the nuclear power station when executing the computer program.
The invention also constructs a time acquisition system of the digital operation basic action unit of the nuclear power station, which comprises the following components:
The scene library calling module is used for calling out a pre-established accident test scene library;
The system comprises a screen recording and video recording module, a video recording module and a video recording module, wherein the screen recording and video recording module is used for acquiring screen recording information of a display interface of a digital full-range simulator and acquiring on-site audio and video information when a plurality of groups of operators execute the digital operation of the selected accident test situation response work on the digital full-range simulator in sequence according to an operation procedure so as to acquire the screen recording and video recording information;
The operation time acquisition module is used for calling a comparison library of the type of the predetermined basic action unit and the type of the operation picture and a running rule path library corresponding to the selected accident test scene, and acquiring the operation time of each operator for implementing each basic action unit by analyzing the screen recording and video recording information;
the implementation time acquisition module is used for calling a preset equipment response time library and respectively determining a plurality of implementation times of each basic action unit according to the operation time of each basic action unit and the corresponding equipment response time in the equipment response time library;
and the statistical processing module is used for respectively carrying out statistical processing on a plurality of implementation times of each basic action unit so as to acquire and output the statistical average value of the implementation times of each basic action unit.
Preferably, the method further comprises:
and the storing module is used for storing the implementation time statistical average value of each basic action unit into a basic action implementation time base.
Preferably, the method further comprises:
The abnormality judging module is used for judging whether the corresponding accident test scene response process is abnormal or not according to the screen recording and video recording information, and/or whether the operation action process of the corresponding operator is invalid or abnormal or not, and if so, outputting prompt information.
Preferably, the method further comprises:
The theory judging module is used for calling a theory time base of the basic action units and judging whether the operation time of each obtained basic action unit needs to be revised or not by comparing the theory time of each basic action unit with the obtained operation time of the corresponding basic action unit.
Preferably, the method further comprises:
and the limit value judging module is used for calling the basic action unit operation time limit value library and judging whether the operation time of the basic action unit acquired by the operation time acquiring module needs to be revised or not.
In the technical scheme provided by the invention, when an operator executes the digitalized operation of the selected accident test situation response work on the digitalized full-range simulator of the nuclear power station, the operator acquires the operation time of each operator for implementing each basic action unit by carrying out real-time screen recording on a display interface of the digitalized full-range simulator and collecting on-site audios and videos in real time and analyzing the screen recording and video recording information, and then the implementation time of each basic action unit is determined by calling a device response time library. Finally, for each basic action unit, a plurality of implementation times are statistically processed to obtain the statistical mean value of the implementation time of the corresponding basic action unit, so that the acquisition of the time data of the basic action unit operated by the digital human-computer interface can be systematically, objectively and reproducibly realized. The collected time data can be further applied to new and improved nuclear power plants, and becomes one of the credible data bases of related digital man-machine interface design, personnel task analysis, personnel reliability evaluation and team performance evaluation work.
Drawings
In order to more clearly illustrate the embodiments of the present invention, the drawings that are required for the description of the embodiments will be briefly described below, it being apparent that the drawings in the following description are only some embodiments of the present invention and that other drawings may be obtained from these drawings without inventive effort for a person of ordinary skill in the art. In the accompanying drawings:
FIG. 1 is a flowchart of a first embodiment of a method for time acquisition of a digital operation basic action unit of a nuclear power plant according to the present invention;
FIG. 2 is a logic block diagram of a first embodiment of a time acquisition system for a digital operation basic action unit of a nuclear power plant according to the present invention;
Fig. 3 is a logic structure diagram of a second embodiment of a time acquisition system for a digital operation basic action unit of a nuclear power station according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Aiming at the situation that the time acquisition flow of the basic action unit operated by the digital man-machine interface of the nuclear power station does not exist at present, the application constructs a time acquisition method of the digital operation basic action unit of the nuclear power station.
First, the conventional human data acquisition relies on a model that determines the original data acquisition mode and the data analysis mode. This brings about the following problems: different human factor analysis models require different data acquisition modes, and data acquired based on a particular model cannot be carried as such to other models. Even more difficult is the determination of thinking based on conventional probability, and the acquisition of the denominator (i.e. the total number of actions) is very difficult when determining the failure rate of a certain basic action unit, so that it is difficult to obtain failure rate data based on actual statistics. In order to ensure the accuracy, consistency, practicability and applicability of the acquired data, the limitations of specific human factor analysis models and the limitations of traditional error rate acquisition thinking should be eliminated. The problem can be solved to a certain extent by adopting a relational data description mode, so that the establishment of a structured data acquisition mode and general statistical data is necessary.
The digital full-range simulator simulates the whole operation process of the nuclear power station by using a set of computer software, can simulate accident situations and operator responses under different conditions, covers working conditions such as normal operation, abnormal transient state, accident operation and the like of the power plant, and can provide objective basis for time data acquisition of basic action units of operators. Meanwhile, the operation process of operators based on the digital simulation machine is natural, and no extra intervention measures or pressure influence the task execution process, so that the operation process is closer to the real situation. The data collected by the simulator is close (comparable) to the data under the actual power plant conditions, and is one of the main means for collecting the data of the operation tasks at present.
Based on the method, the digital full-range simulator of the nuclear power station simulates the situations and operator responses of different accident conditions of the power station, collects time data of personnel operation, and provides basis for objective study of personnel behaviors under accident working conditions. Statistical analysis of the acquisition result proves that the data of the digital full-range simulator can be used as the acquisition basis of the basic action time of the digital operation, and has rationality and feasibility.
Fig. 1 is a flowchart of a first embodiment of a time acquisition method of a digital operation basic action unit of a nuclear power station according to the present invention, where the time acquisition method of the embodiment includes the following steps:
s10, calling out a pre-established accident test scene library;
S20, when a plurality of groups of operators execute the digitalized operation of the selected accident situation response work on the digitalized full-range simulator according to the operation rules in sequence, acquiring screen recording information of a display interface of the digitalized full-range simulator and acquiring on-site audio and video information so as to acquire the screen recording and video recording information;
s30, calling a comparison library of a predetermined basic action unit type and an operation picture type and a running rule path library corresponding to the selected accident test scene, and analyzing the screen recording and video recording information to obtain the operation time of each operator for implementing each basic action unit;
s40, calling a preset equipment response time library, and respectively determining a plurality of implementation times of each basic action unit according to the operation time of each basic action unit and the corresponding equipment response time in the equipment response time library;
and S50, respectively carrying out statistical processing on a plurality of implementation times of each basic action unit so as to obtain the statistical mean value of the implementation time of each basic action unit, and outputting the statistical mean value. With respect to this embodiment, it should be noted that:
In step S10, an accident test scenario library needs to be established in advance on the time acquisition system, specifically, the accident condition range of the nuclear power station is determined according to the design condition list; and establishing an accident test scene library according to the accident model and the time sequence diagram thereof given by the definite security analysis and the PSA (Probare SAFETY ASSESSMENT, PSA) file. And selecting operation rule paths corresponding to all accidents in State-oriented method rules (State-Oriented Procedures, SOP) to generate operation rule path libraries corresponding to all accident test scenes respectively. Based on the selected running rule path, the basic action unit type of the digital man-machine interface operation in the SOP is selected, if necessary, an operation description is given so as to define the meaning of the basic action unit and the time acquisition starting and ending requirements, and a basic action unit type library of the digital operation is generated as shown in the table 1. The method for selecting the basic action unit type of the digitizing operation based on the SOP procedure can solve the problem that the acquisition object is never used as reference.
TABLE 1
Next, it is determined that the selected digitized operation base action unit type corresponds to the operation panel type on the digitized man-machine interface, and a comparison library of base action unit types and operation panel types is generated, as shown in table 2. In addition, the operator specification and request are made in a customary manner for more complex adjustment operations, if necessary.
TABLE 2
And then, setting an accident test scenario library on the digital nuclear power station full-range simulator according to the purpose, range and content of the digital full-range simulator test defined in the accident test scenario library and the working condition requirement of the execution experiment.
Finally, the predetermined accident test scene library, the comparison library of the basic action unit type and the operation pattern type, the operation rule path library corresponding to each accident test scene, the equipment response time library, the basic action unit theoretical time library, the basic action unit operation time limit library, the operator information library, the task information library and the like jointly form a complete information acquisition system, so that the follow-up time acquisition flow can be conveniently invoked.
With respect to step S20, after the accident test scenario is set on the digital full-scope simulator, operators of multiple groups of operating teams that are well-trained and experienced may be arranged to perform the selected (randomly or sequentially selected) accident test scenario tests on the digital full-scope simulator platform in accordance with regular training operations. Before the digitalized operation is executed, operator information and task information can be input, and the operator information data and the task information data are the preconditions and the basis for ensuring the time data acquisition quality. The entered operator information is stored in an operator information repository and the entered task information is stored in a task information repository. Tables of statistics of operator information and task information are shown in tables 3 and 4, respectively.
TABLE 3 Table 3
TABLE 4 Table 4
When an operator executes the digitalized operation, the work such as real-time video recording, screen recording and audio recording operation is implemented through a camera and special software on the digitalized full-range analog machine, and the complete test process is recorded so as to collect the screen recording and video recording information. Because the operation rule path corresponding to each accident testing scene is predetermined, the operation steps of the operation rule path are recorded into a table to form an operation rule path library, and each step automatically invokes the basic action unit type. Therefore, after an operator performs a test on the digital full-range simulator, the operation time can be determined from the video information by calling the operation procedure path library. The method solves the problems of authenticity, effectiveness and availability of data acquisition work, improves the reliability degree of quantitative evaluation and prediction and the statistics of sample size through the full-range digital full-range simulator and the real scene simulation of a maintenance operator, and acquires video/audio data executed by a digital procedure by utilizing the technical development advantages of the digital full-range simulator and computer means, thereby solving the problems of objectivity and accuracy of time data acquisition. In addition, the experimental process can be observed and recorded through an audio-visual monitoring interface and/or unidirectional visual glass, so that the intervention of the experimental process is avoided.
In step S30, it should be noted that the acquired information of the video and the screen is analyzed by calling a comparison library of the basic action unit type and the operation picture type, so as to acquire the operation time when each operator implements the basic action unit. In addition, in order to avoid inconsistent formats or contents caused by observing and collecting data by different personnel or different stages, preprocessing can be performed by means of an excel data screening tool and the like, and partial data records are shown in table 5. The data in the two-dimensional table format is conveniently imported into various types of common databases, and can be subjected to statistical analysis through the databases or serve as basic data to provide analysis for other researches. The data collection result and the mathematical analysis result show that the information to be collected can be accurately, reliably and comprehensively obtained by using the method, and the results have good consistency.
TABLE 5
In step S40, it should be noted that, according to the actual measurement device response data of the nuclear power plant debugging test, a response time list of the entity device corresponding to the operation needs to be provided in advance, as shown in table 6, and a device response time library needs to be generated. It should be understood that not all basic action units correspond to device response times, only basic action units of the operational class correspond to device response times. When determining the implementation time of each basic action unit by each operator, superposing the corresponding operation time and corresponding equipment response time of the basic action unit of the operation class, so as to determine the implementation time of the basic action unit; for the basic action unit of the non-operation class, the corresponding operation time is directly taken as the implementation time of the basic action unit. Therefore, the time data acquired through the digital full-range simulator test can be corrected based on the response time data of the debugging actual measurement equipment of the nuclear power station, and the integrity of time data acquisition is improved.
TABLE 6
Regarding step S50, it should be noted that a data analysis processing program may be written based on Microsoft, and statistics and variance are performed on a plurality of collected implementation times by using lognormal distribution for each basic action unit, so as to obtain a statistical mean value of the implementation times of the corresponding basic action units, and output a table of the implementation time mean values of the basic action units, as shown in table 7.
TABLE 7
According to the technical scheme, when operators execute the digitalized operation of accident situation response work on the digitalized full-range simulator of the nuclear power station, the operation time of each operator for implementing each basic action unit is obtained by carrying out real-time screen recording on a display interface of the digitalized full-range simulator and real-time acquisition on site audios and videos and analyzing the screen recording and video recording information, and then the implementation time of each basic action unit is determined by calling a device response time base. Finally, for each basic action unit, the statistical processing is carried out on the implementation time of a plurality of acquisitions so as to acquire the statistical average value of the implementation time of the corresponding basic action unit, thus systematically, objectively and reproducibly realizing the acquisition of the time data of the basic action unit operated by the digital man-machine interface. The collected time data can be further applied to new and improved nuclear power plants, and becomes one of theoretical basis of related digital man-machine interface design, personnel task analysis, personnel reliability evaluation and team performance evaluation work. Moreover, because operators are trained on the basis of the digital rules and the digital human-computer interface of the digital full-range analog machine in daily life, personnel quality is good, and the operation is skilled, the obtained result has better applicability than the existing data, and the reliability of the evaluation result based on the result is higher.
Further, in an alternative embodiment, after step S50, the method further includes:
S60, storing the statistical mean value of the implementation time of each basic action unit into a basic action implementation time base, which is also an autonomous development database for the first time for the design and use of domestic nuclear power plants.
Further, in an alternative embodiment, after step S20, the method further includes:
and S70, judging whether the corresponding accident test scene response process is abnormal or not according to the screen recording and video recording information, and/or judging whether the operation action process of the corresponding operator is invalid or abnormal or not, and if so, outputting prompt information.
In this embodiment, by analyzing the results of the accident scenario test on the digital full-scope simulator, the compliance of the accident process is checked, for example, the complete accident response process exceeds the accident availability time required by the thermal hydraulic power, and the accident scenario response process can be considered to be invalid; an operator action failure or exception, an operation that violates a run technical specification, an operation that violates a program execution specification, a temporary suspension operation, etc., may be considered an operational action course exception. Abnormal accident situation, abnormal personnel behavior or singular data can be removed by checking the monitoring record.
Further, in an alternative embodiment, after step S30, the method further includes:
S80, calling a basic action unit theoretical time base, and judging whether the acquired operation time of each basic action unit needs to be revised or not by comparing the theoretical time of each basic action unit with the operation time of the corresponding basic action unit acquired in the step S30.
In this embodiment, the theoretical time of each basic action unit may be calculated from a basic action unit theoretical time library. And then judging whether the acquired statistical mean value of the implementation time of each basic action unit needs to be revised by comparing whether the deviation of the theoretical time and the operation time of each basic action unit is in a specified range, and specifically giving a prompt of needing revision if the deviation is more than 30% of the theoretical time.
Further, in an alternative embodiment, after step S30, the method further includes:
And S90, calling a basic action unit operation time limit value library, and judging whether the operation time of the basic action unit acquired in the step S30 needs to be revised.
In this embodiment, the maximum operating time (operating time limit) that should be used for a particular or extreme state may be determined in advance by interviewing advanced operators and operators with rich running experience, and a base action unit operating time limit library is generated. In the actual collection flow, the operation time obtained through the digital full-range simulator test is judged to be consistent with the operation time when the power station actually operates by calling the basic action unit operation time limit value library, and if necessary, the operation time can be corrected and revised, and the revised part takes 0.05 minutes as the minimum unit. Therefore, the time data obtained by the digital full-range simulator test can be corrected and revised through the longest operation time limit value determined by interview of operators participating in the test, the operation deviation between the digital full-range simulator test and the real environment is eliminated, the quantitative value taking requirement of part of special scene time data is solved, and the effectiveness of the application of the acquired data is improved.
Further, in an alternative embodiment, step S50 includes:
S51, carrying out logarithmic calculation on implementation time corresponding to a plurality of operators for each basic action unit so as to obtain a plurality of logarithmic values;
S52, calculating an average value of the plurality of logarithmic values and carrying out standard deviation test;
And S53, performing anti-logarithmic calculation on the average value qualified by the standard deviation test to obtain an implementation time statistical average value of the corresponding basic action unit.
In the embodiment, the implementation time of each basic action unit is processed by adopting lognormal distribution, and an automatic data processing program of lognormal distribution can be written based on Microsoft, so that the objectivity of data acquisition is ensured, random deviation is eliminated, and the standardability and scientificity of the data analysis and processing process are ensured. Specifically, firstly taking the logarithmic value of all the implementation time of the basic action unit of the digital operation, then calculating the average value and standard deviation of the logarithmic value, taking the index of the average value after the standard deviation accords with the 3 sigma criterion, and taking the obtained time as the final implementation time statistical average value of the basic action unit.
The invention also constructs a time acquisition system of the digital operation basic action unit of the nuclear power station, which comprises a processor and a memory storing a computer program, and the processor realizes the steps of the time acquisition method of the digital operation basic action unit of the nuclear power station in the embodiment when executing the computer program.
Fig. 2 is a logic structure diagram of a first embodiment of a time acquisition system for a digital operation basic action unit of a nuclear power station according to the present invention, the time acquisition system includes: the system comprises a scene library calling module 10, a screen recording and video recording module 20, an operation time acquisition module 30, an implementation time acquisition module 40 and a statistics processing module 50, wherein the scene library calling module 10 is used for calling out a pre-established accident test scene library; the screen recording and video recording module 20 is used for acquiring screen recording information of a display interface of the digital full-range simulator and acquiring on-site audio and video information when a plurality of groups of operators sequentially execute digital operations of the selected accident test situation response work on the digital full-range simulator according to operation rules so as to acquire the screen recording and video recording information; the operation time obtaining module 30 is configured to call a comparison library of predetermined basic action unit types and operation picture types and a running rule path library corresponding to the selected accident test scenario, and obtain operation time of each operator for implementing each basic action unit by analyzing the screen recording and video recording information; the implementation time obtaining module 40 is configured to call a preset device response time library, and determine a plurality of implementation times of each basic action unit according to the operation time of each basic action unit and corresponding device response time in the device response time library; the statistical processing module 50 is configured to perform statistical processing on a plurality of implementation times of each basic action unit, so as to obtain and output a statistical average value of the implementation times of each basic action unit.
Fig. 3 is a logic structure diagram of a second embodiment of a time acquisition system for a digital operation basic action unit of a nuclear power station according to the present invention, and compared with the embodiment shown in fig. 2, the time acquisition system of this embodiment further includes: the system comprises a storage module 60, an abnormality judgment module 70, a theory judgment module 80 and a limit judgment module 90, wherein the storage module 60 is used for storing the implementation time statistical average value of each basic action unit into a basic action implementation time base; the abnormality judging module 70 is configured to judge whether the corresponding accident scenario response process is abnormal or not according to the screen recording and video recording information, and/or whether the operation action process of the corresponding operator is invalid or abnormal, if so, outputting prompt information; the theoretical judgment module 80 is used for calling a theoretical time base of the basic action units, and judging whether the obtained operation time of each basic action unit needs to be revised or not by comparing the theoretical time and the operation time of each basic action unit; the limit value judging module 90 is configured to invoke the basic action unit operation time limit value library, and judge whether the operation time of the basic action unit acquired by the operation time acquiring module needs to be revised.
In conclusion, the digital full-range simulator of the nuclear power plant can simulate scenes and operator responses under different accident conditions of the power plant, and provides basis for objective study of personnel behaviors under accident conditions, so that time data of basic action units of digital operation of operators can be obtained through the digital full-range simulator, and test results prove that the data are comparable with data obtained under actual power plant conditions. Therefore, the digitalized full-range analog machine data can be used as the basis for collecting the basic action time of the digitalized operation and has rationality and feasibility.
The above description is only of the preferred embodiments of the present invention and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any such modifications, equivalents, and improvements that fall within the spirit and principles of the present invention are intended to be covered by the following claims.
Claims (12)
1. The time acquisition method of the digital operation basic action unit of the nuclear power station is characterized by comprising the following steps of:
s10, calling out a pre-established accident test scene library;
S20, when a plurality of groups of operators execute the digitalized operation of the selected accident situation response work on the digitalized full-range simulator according to the operation rules in sequence, acquiring screen recording information of a display interface of the digitalized full-range simulator and acquiring on-site audio and video information so as to acquire the screen recording and video recording information;
s30, calling a comparison library of a predetermined basic action unit type and an operation picture type and a running rule path library corresponding to the selected accident test scene, and analyzing the screen recording and video recording information to obtain the operation time of each operator for implementing each basic action unit;
s40, calling a preset equipment response time library, and respectively determining a plurality of implementation times of each basic action unit according to the operation time of each basic action unit and the corresponding equipment response time in the equipment response time library;
And S50, respectively carrying out statistical processing on a plurality of implementation times of each basic action unit so as to obtain the statistical mean value of the implementation time of each basic action unit, and outputting the statistical mean value.
2. The method for time acquisition of a digitally operated basic action unit for a nuclear power plant according to claim 1, further comprising, after said step S50:
And S60, storing the statistical average value of the implementation time of each basic action unit into a basic action implementation time library.
3. The method for time acquisition of a digitally operated basic action unit for a nuclear power plant according to claim 1, further comprising, after said step S20:
and S70, judging whether the corresponding accident test scene response process is abnormal or not according to the screen recording and video recording information, and/or judging whether the operation action process of the corresponding operator is invalid or abnormal or not, and if so, outputting prompt information.
4. The method for time acquisition of a digitally operated basic action unit for a nuclear power plant according to claim 1, further comprising, after said step S30:
S80, calling a basic action unit theoretical time base, and judging whether the acquired operation time of each basic action unit needs to be revised or not by comparing the theoretical time of each basic action unit with the operation time of the corresponding basic action unit acquired in the step S30.
5. The method for time acquisition of a digitally operated basic action unit for a nuclear power plant according to claim 1, further comprising, after said step S30:
And S90, calling a basic action unit operation time limit value library, and judging whether the operation time of the basic action unit acquired in the step S30 needs to be revised.
6. A method for time acquisition of a digital operation basic action unit of a nuclear power plant according to any one of claims 1 to 5, characterized in that said step S50 comprises:
S51, carrying out logarithmic calculation on implementation time corresponding to a plurality of operators for each basic action unit so as to obtain a plurality of logarithmic values;
S52, calculating an average value of the plurality of logarithmic values and carrying out standard deviation test;
And S53, performing anti-logarithmic calculation on the average value qualified by the standard deviation test to obtain an implementation time statistical average value of the corresponding basic action unit.
7. A time acquisition system for a digital operation basic action unit of a nuclear power plant, comprising a processor and a memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the time acquisition method for a digital operation basic action unit of a nuclear power plant according to any one of claims 1-6.
8. A time acquisition system for a digital operation basic action unit of a nuclear power station, comprising:
The scene library calling module is used for calling out a pre-established accident test scene library;
The system comprises a screen recording and video recording module, a video recording module and a video recording module, wherein the screen recording and video recording module is used for acquiring screen recording information of a display interface of a digital full-range simulator and acquiring on-site audio and video information when a plurality of groups of operators execute the digital operation of the selected accident test situation response work on the digital full-range simulator in sequence according to an operation procedure so as to acquire the screen recording and video recording information;
The operation time acquisition module is used for calling a comparison library of the type of the predetermined basic action unit and the type of the operation picture and a running rule path library corresponding to the selected accident test scene, and acquiring the operation time of each operator for implementing each basic action unit by analyzing the screen recording and video recording information;
the implementation time acquisition module is used for calling a preset equipment response time library and respectively determining a plurality of implementation times of each basic action unit according to the operation time of each basic action unit and the corresponding equipment response time in the equipment response time library;
and the statistical processing module is used for respectively carrying out statistical processing on a plurality of implementation times of each basic action unit so as to acquire and output the statistical average value of the implementation times of each basic action unit.
9. The system for time acquisition of digitally operated basic action units of a nuclear power plant according to claim 8, further comprising:
and the storing module is used for storing the implementation time statistical average value of each basic action unit into a basic action implementation time base.
10. The system for time acquisition of digitally operated basic action units of a nuclear power plant according to claim 8, further comprising:
The abnormality judging module is used for judging whether the corresponding accident test scene response process is abnormal or not according to the screen recording and video recording information, and/or whether the operation action process of the corresponding operator is invalid or abnormal or not, and if so, outputting prompt information.
11. The system for time acquisition of digitally operated basic action units of a nuclear power plant according to claim 8, further comprising:
The theory judging module is used for calling a theory time base of the basic action units and judging whether the operation time of each obtained basic action unit needs to be revised or not by comparing the theory time of each basic action unit with the obtained operation time of the corresponding basic action unit.
12. The system for time acquisition of digitally operated basic action units of a nuclear power plant according to claim 8, further comprising:
and the limit value judging module is used for calling the basic action unit operation time limit value library and judging whether the operation time of the basic action unit acquired by the operation time acquiring module needs to be revised or not.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110757939.2A CN113609643B (en) | 2021-07-05 | 2021-07-05 | Time acquisition method and system for digital operation basic action unit of nuclear power station |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110757939.2A CN113609643B (en) | 2021-07-05 | 2021-07-05 | Time acquisition method and system for digital operation basic action unit of nuclear power station |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113609643A CN113609643A (en) | 2021-11-05 |
| CN113609643B true CN113609643B (en) | 2024-05-10 |
Family
ID=78337275
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110757939.2A Active CN113609643B (en) | 2021-07-05 | 2021-07-05 | Time acquisition method and system for digital operation basic action unit of nuclear power station |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113609643B (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104915768A (en) * | 2015-06-02 | 2015-09-16 | 中科华核电技术研究院有限公司 | Method and system for diagnosing and responding and supporting nuclear power plant severe accident |
| CN109858795A (en) * | 2019-01-25 | 2019-06-07 | 中广核工程有限公司 | A kind of obtaining value method and system of nuclear power plant's operation task deadline |
| CN112364722A (en) * | 2020-10-23 | 2021-02-12 | 岭东核电有限公司 | Nuclear power operator monitoring processing method and device and computer equipment |
| CN112598223A (en) * | 2020-12-03 | 2021-04-02 | 中广核工程有限公司 | Nuclear power state oriented law accident rule completeness inspection method and system, electronic equipment and storage medium |
-
2021
- 2021-07-05 CN CN202110757939.2A patent/CN113609643B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104915768A (en) * | 2015-06-02 | 2015-09-16 | 中科华核电技术研究院有限公司 | Method and system for diagnosing and responding and supporting nuclear power plant severe accident |
| CN109858795A (en) * | 2019-01-25 | 2019-06-07 | 中广核工程有限公司 | A kind of obtaining value method and system of nuclear power plant's operation task deadline |
| CN112364722A (en) * | 2020-10-23 | 2021-02-12 | 岭东核电有限公司 | Nuclear power operator monitoring processing method and device and computer equipment |
| CN112598223A (en) * | 2020-12-03 | 2021-04-02 | 中广核工程有限公司 | Nuclear power state oriented law accident rule completeness inspection method and system, electronic equipment and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113609643A (en) | 2021-11-05 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108924082B (en) | Special operator actual operation examination control method and system | |
| Kirwan | Validation of human reliability assessment techniques: part 1—validation issues | |
| JPH10510385A (en) | Method and system for software quality architecture based analysis | |
| CN115062675A (en) | Full-spectrum pollution tracing method based on neural network and cloud system | |
| Park et al. | Analysis of human performance differences between students and operators when using the Rancor Microworld simulator | |
| CN113468747B (en) | Full-mold platform of large aircraft fuel system | |
| CN116991746B (en) | Method and device for evaluating general quality characteristics of software | |
| CN113609643B (en) | Time acquisition method and system for digital operation basic action unit of nuclear power station | |
| Gustriansyah et al. | Optimization of laboratory application by utilizing the ISO/IEC 25010 model | |
| Zhang et al. | The simulator experimental study on the operator reliability of Qinshan nuclear power plant | |
| Kim et al. | An experimental design on the use of rancor microworld simulator: a comparison of human performances between actual operators and students | |
| CN116566839A (en) | Communication resource quality evaluation system for power enterprises | |
| Kim et al. | Design and implementation of HuREX analysis supporting interface for HRA data extraction | |
| Colombo et al. | Towards the automatic measurement of human performance in virtual environments for industrial safety | |
| CN113791980A (en) | Test case conversion analysis method, device, equipment and storage medium | |
| Lydell | Human reliability methodology. A discussion of the state of the art | |
| Juniawan et al. | E-Voting Software Quality Analysis with McCall's Method | |
| Khasnis et al. | Analysis of automation in the field of usability evaluation | |
| CN117271268B (en) | Cluster architecture performance evaluation method in digital computing platform | |
| Park et al. | An empirical study on the use of the rancor microworld simulator to support full-scope data collection | |
| Park et al. | A Framework to Integrate Human Reliability Data Obtained from Different Sources Based on the Complexity Scores of Proceduralized Tasks | |
| Kim et al. | Design and implementation of HuREX analysis supporting interface | |
| Malmrud | Determining confidence in test quality assessment in large-scale software development | |
| Szalma et al. | Fuzzy signal detection theory: A Monte Carlo investigation | |
| CN118350341A (en) | Nuclear power station circuit board simulation detection analysis method and system |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |