CN117314398B - Nuclear power plant unit transient state data analysis and playback method - Google Patents
Nuclear power plant unit transient state data analysis and playback method Download PDFInfo
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Abstract
The invention belongs to the technical field of intelligent nuclear power, and particularly relates to a method for analyzing and replaying transient data of a nuclear power plant unit. The data server, the model server and the operator station are communicated through the switch to build a small-sized simulator, and the small-sized simulator performs data interaction with the transient data server through the switch to realize playback of corresponding transient scenes to the small-sized simulator by the transient data server. The historical data of the unit is analyzed and reconstructed, the transient process of the unit is played back to an operator station, the accident working condition process is restored, and the state of the unit at the corresponding moment can be 100%.
Description
Technical Field
The invention belongs to the technical field of intelligent nuclear power, and particularly relates to a method for analyzing and replaying transient data of a nuclear power plant unit.
Background
The power station computer information and control system is used as a DCS two-layer, mainly bears the digital operation task of the power station, and provides the functions of power station history storage, data processing and information display, alarm display and processing, power station running control operation, reactor state supervision, safety parameter display and the like. The history storage function is realized by two modes of on-line and off-line. The online historical data is directly checked by an operator workstation (KIC-OWP) on a human-computer interface, is displayed in a trend graph form or a digital list form, is convenient for the operator to analyze, and can be stored for at most two months. The off-line historical data is mainly stored in an off-line mode by a tape drive and a long-term historical data storage server, so that the long-term management and the reference of the historical data are facilitated. The part of offline historical data cannot be replayed to an operator station except for inquiring the history by calling part of data through DCS three layers to draw a curve. The log portion data is not sent to the DCS three layers and is not effectively utilized. There is currently no technology and method that enables the re-playback of crew offline history data and logs to an operator station.
The full-range simulator is completely consistent with the pictures and the configurations of the reference unit, so that the transient data analysis platform is constructed by considering the technology of the simulator, and the transient data analysis platform is used for realizing the playback of the historical data and the logs of the transient process, so that the emergency response capability of operators is improved, the optimal time for the unit to be maintained in the current state is determined, a certain powerful guarantee is provided for the planned work to the predictive work, and the reliability of the unit is greatly improved.
Fuqing nuclear power unit No. 1-4 has been operated for many years, and a large amount of unit operation data is accumulated, wherein the unit operation data comprises abnormal transients such as emergency power reduction, shutdown, loss of main plant external power supply, main pump shutdown, titanium pipe leakage and the like. How to use the digital assets to exert the due functions in the aspects of assisting operator training, unit safe operation and the like becomes a difficult problem to be solved in the present stage. Meanwhile, the simulation effect of the simulation machine is affected, so that the training effect of the transient process is poor.
Disclosure of Invention
The invention aims to provide a method for analyzing and replaying transient data of a nuclear power plant unit, which is used for analyzing and reconstructing historical data of the unit, realizing replaying the transient process of the unit to an operator station (the human-computer interface function of the operator is consistent with that of the unit), restoring the accident working condition process and reproducing the state of the unit at the corresponding moment by 100%. The method is beneficial to identifying potential risks of accidents, reducing the probability of operation accidents, and better improving the intervention flow and improving the capability of operators to control the unit. By means of the operation data of the units for years, different transient scenes of the units are created according to the operation data of the time axis, and operators can select corresponding scenes to carry out auxiliary training according to requirements. Compared with the working condition simulated by the simulator, the method is closer to the actual condition, overall analysis is carried out on the transient process to summarize experience feedback, the improvement direction is provided, the processing capability of operators in the face of abnormal transient and accident working conditions is improved, and the purpose of improving the safe and stable operation of the unit is achieved. And the analysis of event causes can be assisted, and the analysis efficiency of unit accident causes is improved.
In order to achieve the above purpose, the technical scheme adopted by the invention is as follows:
a method for analyzing and replaying transient data of a nuclear power plant unit includes that a data server, a model server and an operator station are communicated through a switch to build a small-sized simulator, and the small-sized simulator performs data interaction with the transient data server through the switch to replay corresponding transient scenes to the small-sized simulator through the transient data server.
The Transient data server installs a time sequence database IOTDB, a scene sample database MongoDB, a relational database MySql, a unit sample making sample_making, a Transient data platform back-end program Transient, a Transient platform front-end program TransientWeb; the data server installs the related software and data of the data server of the simulator, is consistent with the full-range simulator, and is additionally provided with a journal playback program SimtransLog replayer; the model server installs software and data consistent with the full-range simulator; the software and data of the operator station for playback of the presentation is consistent with the operator station of the full-scope simulation machine.
Step 1: resolution of historical data mea; creation of a time sequence database: creating 4 time sequence databases IOTDB according to historical data of 4 units of Fuqing No. 1-4, and firstly registering according to a historical data point position list of DCS two layers, wherein each time sequence database corresponds to 4 units respectively, and each unit has 8000 point positions; the historical data analysis method comprises the following steps: the selected unit data has a single historical data mean. Txt document every day, the document is opened, each row is one 9-bit code device bit number one day of operation data, and the variable value is recorded in the document once every time the variable value is changed; disassembling the historical data file into data slices; the historical data is resolved into data slices through a program and stored into a corresponding time sequence database IOTDB according to the unit number;
step 2: log data log analysis; firstly, creating a relational database, and creating an independent table of each unit according to unit numbers to realize log data sub-table storage of each unit; for synchronously realizing the playback of the unit logs on the operator station, analyzing log data; each row is a log, and comprises a time tag, a nine-bit code of the equipment and a state; the original data of the unit logs are in a text format, and are finally stored in MySql databases of the transient data server after being analyzed, and each unit has a special database for storing logs; according to the format and content of the unit log, the log data are divided into a time stamp, a roll call, an alarm, a description, an action, a type and a state, and are used for displaying and screening the DCS two-layer log function;
step 3: the realization method of the scene making function comprises the following steps: automatically screening out data slices meeting selection requirements from a time sequence database according to the machine set number, the scene start-stop time and the equipment position number, and storing the sliced data into a scene sample database MongoDB after time sequence slicing and variable slicing are carried out on the machine set data during scene manufacturing; the method comprises the steps of including time sequence slice data and variable slice data, wherein the time sequence slice data is BC-like data, time is used as an index, and the values of all variables at each moment are recorded for scene playback; storing slice data sets corresponding to the scenes according to the start-stop time and the unit number of the scenes, and loading the scenes; in a scene sample database MongoDB, variable slice data takes variables as indexes, and the values of each variable at all moments in the whole working condition process are recorded for curve comparison; in the scene sample database, variable slice data are stored in a variable slice data set and a representative variable set; the transient scene data is divided into scene description information and scene data; the scene description information is displayed in a list form, and can be selected and edited; scene data is stored in a scene sample database in the form of time sequence slices for use in playback;
step 4: a playback method of a transient scene; and (3) data playback: when the scene is replayed, automatically accessing a scene-related time sequence database set in a scene sample database according to the selected scene, and automatically loading; after the unit data are converted in the data server, the unit data are sent to an operator station, and the operator station can reproduce the scene selected by the target unit; the log function playback method comprises the following steps: in addition to realizing playback of device status and meter data, the scene playback function also comprises playback of a log function; when a scene is loaded, taking out a log corresponding to the scene according to the machine group number and the starting and ending time of the scene, and storing the log into a temporary database; during scene playback, searching a log with a timestamp matched with the current time, and directly presenting specific information of the log in a two-layer human-computer interface of the transient data analysis platform; the alarm playback function implementation method comprises the following steps: the state related to the alarm is recorded in the log data, so that the alarm function is consistent with a unit operator station in the playback process of the unit transient scene, the related alarm can be triggered synchronously in the transient process, and the related alarm information including alarm occurrence, alarm confirmation occurrence, alarm disappearance and alarm confirmation disappearance is screened out in the log;
step 5: the variable curve comparison implementation method; accessing variable data slices of a corresponding scene sample database MongoDB through scene selection, wherein the variable slice data are stored in a variable slice data set and a representative variable set; and screening out variable information meeting the conditions from the set according to the selected variables, and displaying the variable information in a time axis variable value curve form.
Step 1: for 3ADG001MD,20032023235959722 is the last recorded time, time of day, month, year, time of day, second, millisecond, translate into 2023, 03, 20, day, 23, 59, second, 722 millisecond, each space is a valid value, 000000421 is a starting time 2023, 3 and 21 days before the document is directly read from the date of year, month and day without a time stamp 00:00:00:421, and the recorded value is 4.090E+03; the 3ADG001MD is nine-bit code of the equipment, which means that the No. 3 unit feedwater degasser system 001MD flow meter.
Step 1: 500 data are recorded in a 3RRI001MN in a historical data storage document, and then the 500 data are stored into a time sequence database corresponding to a No. 3 unit; the 3RRI001MN is a nine-bit code of the device, and means a 001MN liquid level meter of a cooling water system of the No. 3 unit device.
Step 3: the variable slice data set stores all variable information in each working condition, and the representative variable set stores values of one variable at all moments in the working condition process.
Step 4: in order to prevent real-time query from blocking the MongoDB query process of the scene sample database, the first 1000 data slices of the scene are preloaded, are stored in a memory after being sequenced, then the data are taken out one by one according to seconds and are sent to a data server through a TCP/IP protocol, and when the data slices in the memory are smaller than 900, the query is started again, and enough cache data ensure that the data query speed can meet the requirement of data consumption.
Step 4: the duration of the scene is less than 4 hours, and the number of lines of the temporary database is controlled within 1 ten thousand lines.
Step 4: the alarm state of the DCS two-layer alarm function is determined by the following formula:
wherein x is 0 =signal bit, alarm trigger result is 1, vanish to 0; x is x 1 The result of the alarm confirmed is 0, and 1 is not confirmed; x is x 2 =inhibit bit, alarm inhibited result is 1, not inhibited to 0; x is x 3 =store bit, alarm store result is 1, not stored as 0; x is x 4 Test bit, test state 1, non-test state 0; x is x 5 =sound bit, alarm trigger not silenced 1, silenced 0; alarm appearance corresponds to the alarm state 35 of the analog machine, and alarm confirmation appearance pairThe state 1 corresponds to the state 2 of alarm disappearance, and the state 0 of alarm confirmation disappearance; when alarm information appears in the log, the alarm information is translated into x 0 -x 5 Performing assignment, and directly calculating an alarm result by the related alarm state so as to realize playback of an alarm function at an operator station;
the alarms on the operator station have 4 states in total, namely alarm appearance, alarm confirmation, alarm disappearance and alarm confirmation disappearance; the result of the formula is 35 corresponding to the alarm, the result of the formula is 1 corresponding to the alarm confirmation, the result of the formula is 2 corresponding to the alarm disappearance, and the result of the formula is 0 corresponding to the alarm confirmation disappearance.
The beneficial effects obtained by the invention are as follows:
1. original unit history data is transmitted to an information document terminal through a PI server, log data cannot be transmitted, and the log data is not effectively utilized. According to the invention, the log data is disassembled and stored in a database of the log display of the simulator, and then related information is sent to the DCS two layers according to the log display principle, so that the playback of the log on the transient platform operator terminal is realized.
2. In the prior art, the function of replaying the unit alarm to the operator station does not exist, and the invention not only keeps the alarm information in the log to be displayed, but also adopts a program to screen the alarm information in the log during data processing, modifies the alarm calculation mode of the simulation machine, assigns the alarm calculation mode to the corresponding state of the two-layer alarm, and realizes the synchronous replay of the alarm function.
3. Original offline historical data can only be displayed by making curves (10 points of interest are selected at one time), is not intuitive, has limited display, and cannot be played back to an operator station. The invention is not limited by point positions, and can dynamically assign all DCS two-layer point positions to equipment and instruments of an operator man-machine interface according to time sequence at the same time, reappear the transient process of the unit, realize overall analysis of the transient process of the unit, summarize experience feedback and improve the processing capacity of operators facing abnormal transients.
4. The industrial problem of insufficient simulation precision of the simulator is limited by the constraints of various aspects such as model precision, virtualization software and the like, the whole industry is always plagued by the insufficient simulation precision of the simulator, and the simulation effect of the transient scene is different from the real situation of the unit. The method realizes the creation of a transient process based on the unit operation data, is directly presented in a playback mode at an operator station, reproduces the operation state of the unit at the corresponding moment by 100%, helps operators to analyze and find accident reasons, and is closer to reality than the working condition simulated by a simulator.
5. The important variable curve comparison of different scenes is realized, the method can be used for comparing the transient scene of the unit and the training scene of the simulator under the same working condition, and the comparison result can be used for improving the simulation precision of the simulator. For example, the simulation degree of the steam-extinguishing chamber built by the voltage stabilizer of the simulator is poor, the steam-extinguishing chamber scene is built by using the voltage stabilizer for lifting power during the overhaul period of the manufacturing unit, the comparison result is visual and easy to understand, and the simulation precision of the simulator is effectively improved.
Detailed Description
The present invention will be described in detail with reference to specific examples.
1. Construction of transient data analysis platform
Including transient data servers, switches, data servers, model servers, and operator stations. The data server, the model server and the operator station are communicated through the switch to build a small-sized simulator. The small-sized simulator performs data interaction with the transient data server through the switch, so that the requirement that the corresponding transient scene is played back to the small-sized simulator by the transient data server is met.
The transient data analysis platform software is arranged as follows: the Transient data server is required to install a time sequence database IOTDB, a scene sample database MongoDB, a relational database MySql, sample_making (machine set sample making), a Transient (Transient data platform back-end program) and a Transient Web (Transient platform front-end program); the data server needs to install related software and data of the data server of the simulator, is consistent with the full-range simulator, and is additionally provided with a journal playback program SimtransLog replayer; the model server only needs to install software and data which are consistent with the full-range simulator; the software and data for the operator station for playback of the presentation is also consistent with the operator station of the full-scope simulation machine.
2. Unit transient data processing and playback method
Step 1: resolution of historical data mea
Creation of a time sequence database: 4 time sequence databases (IOTDBs) are required to be created according to the historical data of 4 units of Fuqing No. 1-No. 4, registration is firstly carried out according to a historical data point position list of DCS two layers, each time sequence database corresponds to 4 units respectively, and each unit is approximately 8000 points.
The historical data analysis method comprises the following steps: the selected crew data has a single mean. Txt (historical data) document per day. The document is opened, each line is one day of operating data of a device bit number (9 bit code), and the value of the variable is recorded in the document once every time it is changed. Taking 3ADG001MD as an example, 3ADG001MD is a nine-bit code of a device, which means that a No. 3 unit feedwater degasser system 001MD flowmeter 20032023235959722 is the last recorded time, time-sharing-seconds in the day, month and year, translation is carried out to 2023, month, 20, day, 23, 59 minutes, 59 seconds and 722 milliseconds, each space is an effective value, 000000421 is a time stamp 00:00:00:421 without month and month, the beginning time 2023, month and 21 days before the document is directly read from the month and year, and the recorded value is 4.090E+03.4.090E+03 is the value transmitted to the set DCS from the local equipment, and is stored in the history data, the transient data analysis platform decomposes the set data by obtaining the set data, and finally, the state of the local equipment in the transient process of the set is played back to the operator station. The historical data file is broken down into data slices according to the rules.
The historical data is analyzed by a program and the data slices are stored into a corresponding time sequence database (IOTDB) according to the unit number, for example, 500 data are recorded by 3RRI001MN in a historical data storage document, and then 500 data are stored into the time sequence database corresponding to the unit number 3; the 3RRI001MN is a nine-bit code of the device, and means a 001MN liquid level meter of a cooling water system of the No. 3 unit device.
Step 2: analysis of log data (log)
Firstly, a relational database is required to be created, independent tables of each unit are created according to unit numbers, and log data sub-table storage of each unit is realized. In order to synchronously realize the playback of the unit logs on the operator station, the log data needs to be parsed. Each row is a log containing time stamps, nine bit codes of the device, status. The original data of the unit logs are in a text format, and are finally stored in MySql databases of the transient data server after being analyzed, and each unit has a special database for storing logs, so that confusion is avoided during data playback. According to the format and content of the unit log, log data are divided into a time stamp, a roll call, an alarm, a description, an action, a type and a state, and are used for the display and screening functions of the DCS two-layer log function.
Step 3: method for realizing scene making function
And automatically screening out data slices meeting selection requirements from a time sequence database according to the machine set number, the scene start-stop time and the equipment position number, and storing the sliced data into a scene sample database MongoDB after time sequence slicing and variable slicing are carried out on the machine set data during scene manufacturing. Mainly comprises two slice data: time-series slice data and variable slice data. The time sequence slice data is BC-like data, the time is used as an index, and the values of all variables at each moment are recorded for scene playback. And storing the slice data sets corresponding to the scenes according to the start-stop time and the unit number of the scenes, and loading the scenes.
In a scene sample database MongoDB, variable slice data takes variables as indexes, and the values of each variable at all times in the whole working condition process are recorded for curve comparison. In the scene sample database, variable slice data is stored in a variable slice data set and a representative variable set. The reason for this is that, on the one hand, all variable information in a working state and, on the other hand, all values of a variable at all times during a working state need to be recorded. The variable slice data set stores all variable information in each working condition, and the representative variable set stores values of one variable at all moments in the working condition process.
Transient scene data is divided into two parts-scene description information and scene data. The scene description information is displayed in a list form, and can be selected and edited; the scene data is stored in the scene sample database in the form of time-series slices for use in playback.
Step 4: playback method of transient scene
And (3) data playback: when the scene is replayed, automatically accessing a scene-related time sequence database set in the scene sample database according to the selected scene, and automatically loading. In order to prevent the real-time query from blocking the MongoDB query process of the scene sample database, the first 1000 data slices of the scene are preloaded, are stored in the memory after being sequenced, then the data are taken out one by one according to seconds, and are sent to the data server through the TCP/IP protocol, when the data slices in the memory are smaller than 900, the query is started again, enough cache data ensure that the data query speed can meet the data consumption requirement, the unit data are converted in the data server and then are sent to the operator station, and the operator station can reproduce the scene selected by the target unit.
The log function playback method comprises the following steps: in addition to enabling playback of device status, meter data, etc., the scene playback function also includes playback of log functions. Because of the massive log data stored, database query efficiency is low. Therefore, when the scene is loaded, the log corresponding to the scene is taken out according to the machine set number and the starting and ending time of the scene and stored in a temporary database. Because the duration of the scene is generally less than 4 hours, the number of lines of the temporary database is controlled within 1 ten thousand lines, and the data query efficiency is ensured. And during scene playback, searching a log with a matched time stamp according to the current time, and directly presenting specific information of the log in a two-layer human-computer interface of the transient data analysis platform.
The alarm playback function implementation method comprises the following steps: the history data does not contain alarm information, and the playback of the alarm needs to be implemented in the alarm function, unlike the playback of the history data to the human-machine interface screen. The state related to the alarm is recorded in the log data after analysis, so that the alarm function is consistent with the operator station of the unit in the playback process of the transient scene of the unit, the related alarm can be triggered synchronously in the transient process, and the related alarm information including the occurrence of the alarm, the occurrence of the alarm confirmation, the disappearance of the alarm and the disappearance of the alarm confirmation needs to be screened out in the log. The alarm state of the DCS two-layer alarm function is determined by the following formula:
wherein x is 0 Signal bit=signal bit (alarm trigger result is 1, vanishing is 0); x is x 1 A validation bit (alarm validated result is 0, not validated as 1); x is x 2 An inhibited bit (alarm inhibited result is 1, not inhibited to 0); x is x 3 Storage bit (alarm storage result is 1, not stored as 0); x is x 4 Test bit (test state 1, non-test state 0); x is x 5 Sound bit (alarm trigger not silenced 1, silenced 0).
The alarm appears corresponding to the analog machine alarm state 35, the alarm confirms that the corresponding state 1 appears, the alarm disappears corresponding state 2, and the alarm confirms that the corresponding state 0 disappears. When alarm information appears in the log, the alarm information is translated into x 0 -x 5 Performing assignment, and directly calculating an alarm result by the related alarm state so as to realize playback of an alarm function at an operator station;
the alarms on the operator station have 4 states in total, namely alarm appearance, alarm confirmation, alarm disappearance and alarm confirmation disappearance; the result of the formula is 35 corresponding to the alarm, the result of the formula is 1 corresponding to the alarm confirmation, the result of the formula is 2 corresponding to the alarm disappearance, and the result of the formula is 0 corresponding to the alarm confirmation disappearance.
Step 5: variable curve comparison implementation method
And accessing variable data slices of the corresponding scene sample database MongoDB through scene selection, wherein the variable slice data are stored in a variable slice data set and a representative variable set. And screening out variable information meeting the conditions from the set according to the selected variables, and displaying the variable information in a time axis variable value curve form.
The key points and the points to be protected of the invention are as follows: a transient platform architecture; the analysis and reconstruction method of the historical data and the log of the unit; the method for realizing the manufacturing function of the transient scene of the unit comprises the following steps of; techniques and methods for unit offline historical data and logs, and for alert replay to an operator station; a scene variable curve comparison method.
The simulator hall of the full-range simulator of the nuclear power plant and the main control room of the power plant are completely simulated in a one-to-one full-size mode. The training equipment is mainly used for initial training, retraining and checking of nuclear power station operators. The available machines of the full-range simulation machine are few and cannot be used for the frequently used operator analysis classes.
The transient analysis platform comprises a transient data server and a specific small simulator, and is used for an operator to analyze classes and is arranged in a common conference room. And the small simulator is built by using few devices, and the DCS two-layer data server used on the small simulator is different from the full-range simulator, so that a log playback program needs to be additionally installed, and a web back-end program with a group of state variables deployed on the transient server needs to be defined, so that the control of the transient data server is realized.
Claims (7)
1. A method for analyzing and replaying transient data of a nuclear power plant unit is characterized by comprising the following steps of: the data server, the model server and the operator station are communicated through the switch to build a small-sized simulator, and the small-sized simulator performs data interaction with the transient data server through the switch to realize that the transient data server plays back corresponding transient scenes to the small-sized simulator;
the Transient data server installs a time sequence database IOTDB, a scene sample database MongoDB, a relational database MySql, a unit sample making sample_making, a Transient data platform back-end program Transient, a Transient platform front-end program TransientWeb; the data server installs the related software and data of the data server of the simulator, is consistent with the full-range simulator, and is additionally provided with a journal playback program SimtransLog replayer; the model server installs software and data consistent with the full-range simulator; software and data for the operator station for playback of the presentation is consistent with the operator station of the full-scope simulation machine;
the process of analysis and playback specifically comprises the following steps:
step 1: resolution of historical data mea; creation of a time sequence database: creating 4 time sequence databases IOTDB according to historical data of 4 units of Fuqing No. 1-4, and firstly registering according to a historical data point position list of DCS two layers, wherein each time sequence database corresponds to 4 units respectively, and each unit has 8000 point positions; the historical data analysis method comprises the following steps: the selected unit data has a single historical data mean. Txt document every day, the document is opened, each row is one 9-bit code device bit number one day of operation data, and the variable value is recorded in the document once every time the variable value is changed; disassembling the historical data file into data slices; the historical data is resolved into data slices through a program and stored into a corresponding time sequence database IOTDB according to the unit number;
step 2: log data log analysis; firstly, creating a relational database, and creating an independent table of each unit according to unit numbers to realize log data sub-table storage of each unit; for synchronously realizing the playback of the unit logs on the operator station, analyzing log data; each row is a log, and comprises a time tag, a nine-bit code of the equipment and a state; the original data of the unit logs are in a text format, and are finally stored in MySql databases of the transient data server after being analyzed, and each unit has a special database for storing logs; according to the format and content of the unit log, the log data are divided into a time stamp, a roll call, an alarm, a description, an action, a type and a state, and are used for displaying and screening the DCS two-layer log function;
step 3: the realization method of the scene making function comprises the following steps: automatically screening out data slices meeting selection requirements from a time sequence database according to the machine set number, the scene start-stop time and the equipment position number, and storing the sliced data into a scene sample database MongoDB after time sequence slicing and variable slicing are carried out on the machine set data during scene manufacturing; the method comprises the steps of including time sequence slice data and variable slice data, wherein the time sequence slice data is BC-like data, time is used as an index, and the values of all variables at each moment are recorded for scene playback; storing slice data sets corresponding to the scenes according to the start-stop time and the unit number of the scenes, and loading the scenes; in a scene sample database MongoDB, variable slice data takes variables as indexes, and the values of each variable at all moments in the whole working condition process are recorded for curve comparison; in the scene sample database, variable slice data are stored in a variable slice data set and a representative variable set; the transient scene data is divided into scene description information and scene data; the scene description information is displayed in a list form, and can be selected and edited; scene data is stored in a scene sample database in the form of time sequence slices for use in playback;
step 4: a playback method of a transient scene; and (3) data playback: when the scene is replayed, automatically accessing a scene-related time sequence database set in a scene sample database according to the selected scene, and automatically loading; after the unit data are converted in the data server, the unit data are sent to an operator station, and the operator station can reproduce the scene selected by the target unit; the log function playback method comprises the following steps: in addition to realizing playback of device status and meter data, the scene playback function also comprises playback of a log function; when a scene is loaded, taking out a log corresponding to the scene according to the machine group number and the starting and ending time of the scene, and storing the log into a temporary database; during scene playback, searching a log with a timestamp matched with the current time, and directly presenting specific information of the log in a two-layer human-computer interface of the transient data analysis platform; the alarm playback function implementation method comprises the following steps: the state related to the alarm is recorded in the log data, in order to realize that the alarm function is consistent with the operator station of the unit in the playback process of the transient scene of the unit, the related information of the alarm is needed to be screened out in the log, including the occurrence of the alarm, the occurrence of the alarm confirmation, the disappearance of the alarm and the disappearance of the alarm confirmation, and the related alarm can be synchronously triggered in the transient process;
step 5: the variable curve comparison implementation method; accessing variable data slices of a corresponding scene sample database MongoDB through scene selection, wherein the variable slice data are stored in a variable slice data set and a representative variable set; and screening out variable information meeting the conditions from the set according to the selected variables, and displaying the variable information in a time axis variable value curve form.
2. The method for analyzing and playing back transient data of a nuclear power plant unit according to claim 1, wherein: step 1: for 3ADG001MD,20032023235959722 is the last recorded time, time of day, month, year, time of day, second, millisecond, translate into 2023, 03, 20, day, 23, 59, second, 722 millisecond, each space is a valid value, 000000421 is a starting time 2023, 3 and 21 days before the document is directly read from the date of year, month and day without a time stamp 00:00:00:421, and the recorded value is 4.090E+03; the 3ADG001MD is nine-bit code of the equipment, which means that the No. 3 unit feedwater degasser system 001MD flow meter.
3. The method for analyzing and playing back transient data of a nuclear power plant unit according to claim 1, wherein: step 1: 500 data are recorded in a 3RRI001MN in a historical data storage document, and then the 500 data are stored into a time sequence database corresponding to a No. 3 unit; the 3RRI001MN is a nine-bit code of the device, and means a 001MN liquid level meter of a cooling water system of the No. 3 unit device.
4. The method for analyzing and playing back transient data of a nuclear power plant unit according to claim 1, wherein: step 3: the variable slice data set stores all variable information in each working condition, and the representative variable set stores values of one variable at all moments in the working condition process.
5. The method for analyzing and playing back transient data of a nuclear power plant unit according to claim 1, wherein: step 4: in order to prevent real-time query from blocking the MongoDB query process of the scene sample database, the first 1000 data slices of the scene are preloaded, are stored in a memory after being sequenced, then the data are taken out one by one according to seconds, are sent to a data server through a TCP/IP protocol, and the query is started again when the data slices in the memory are smaller than 900.
6. The method for analyzing and playing back transient data of a nuclear power plant unit according to claim 1, wherein: step 4: the duration of the scene is less than 4 hours, and the number of lines of the temporary database is controlled within 1 ten thousand lines.
7. The method for analyzing and playing back transient data of a nuclear power plant unit according to claim 1, wherein: step 4: the alarm state of the DCS two-layer alarm function is determined by the following formula:
wherein x is 0 =signal bit, alarm trigger result is 1, vanish to 0; x is x 1 The result of the alarm confirmed is 0, and 1 is not confirmed; x is x 2 =inhibit bit, alarm inhibited result is 1, not inhibited to 0; x is x 3 =store bit, alarm store result is 1, not stored as 0; x is x 4 Test bit, test state 1, non-test state 0; x is x 5 =sound bit, alarm trigger not silenced 1, silenced 0; the alarm appears corresponding to the analog machine alarm state 35, the alarm confirms that the corresponding state 1 appears, the alarm disappears corresponding state 2, and the alarm confirms that the corresponding state 0 disappears; when alarm information appears in the log, the alarm information is translated into x 0 -x 5 Performing assignment, and directly calculating an alarm result by the related alarm state so as to realize playback of an alarm function at an operator station;
the alarms on the operator station have 4 states in total, namely alarm appearance, alarm confirmation, alarm disappearance and alarm confirmation disappearance; the result of the formula is 35 corresponding to the alarm, the result of the formula is 1 corresponding to the alarm confirmation, the result of the formula is 2 corresponding to the alarm disappearance, and the result of the formula is 0 corresponding to the alarm confirmation disappearance.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1845029A (en) * | 2005-11-11 | 2006-10-11 | 南京科远控制工程有限公司 | Setting method for fault diagnosis and accident prediction |
| CN102122337A (en) * | 2010-01-07 | 2011-07-13 | 北京广利核系统工程有限公司 | Method and system for playing back data of instrument-control simulation system of nuclear power station |
| KR20130125491A (en) * | 2012-05-09 | 2013-11-19 | 한국수력원자력 주식회사 | System and method using realtime simulator and programmed system switching for the validation of large-scaled dcs |
| CN105892383A (en) * | 2016-04-26 | 2016-08-24 | 国核电力规划设计研究院 | Nuclear power plant alarm simulation and diagnostic system and method |
| CN116578441A (en) * | 2023-03-23 | 2023-08-11 | 阳江核电有限公司 | Analog machine historical data playback system |
| CN116933566A (en) * | 2023-09-14 | 2023-10-24 | 中核武汉核电运行技术股份有限公司 | Data recording, data playback and data analysis method based on simulation system |
-
2023
- 2023-11-30 CN CN202311616762.XA patent/CN117314398B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1845029A (en) * | 2005-11-11 | 2006-10-11 | 南京科远控制工程有限公司 | Setting method for fault diagnosis and accident prediction |
| CN102122337A (en) * | 2010-01-07 | 2011-07-13 | 北京广利核系统工程有限公司 | Method and system for playing back data of instrument-control simulation system of nuclear power station |
| KR20130125491A (en) * | 2012-05-09 | 2013-11-19 | 한국수력원자력 주식회사 | System and method using realtime simulator and programmed system switching for the validation of large-scaled dcs |
| CN105892383A (en) * | 2016-04-26 | 2016-08-24 | 国核电力规划设计研究院 | Nuclear power plant alarm simulation and diagnostic system and method |
| CN116578441A (en) * | 2023-03-23 | 2023-08-11 | 阳江核电有限公司 | Analog machine historical data playback system |
| CN116933566A (en) * | 2023-09-14 | 2023-10-24 | 中核武汉核电运行技术股份有限公司 | Data recording, data playback and data analysis method based on simulation system |
Non-Patent Citations (2)
| Title |
|---|
| 核电厂DCS模拟机中数据回放技术的设计与实践;马建新;彭立;董晓峰;;核动力工程(第02期);全文 * |
| 福建福清核电站DCS系统全范围模拟机设计;马洁光;李春;;仪器仪表用户(第06期);全文 * |
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