JP2013029785A - Plant simulation device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a plant simulation device which is capable of assuming various accident events and of performing simulation in a realistic perspective.SOLUTION: The plant simulation device includes: storage means 41 where structure information including three-dimensional positions of structures included in a plant is stored; abnormal event setting means (step S1) which sets abnormal event information including a three-dimensional position where an abnormal event has occurred; search means (step S2) which searches for a structure which is to be abnormal due to the abnormal event, from the storage means 41 on the basis of the abnormal event information; and simulation means (step S4) which sets the structure found by the search means to an abnormal state and simulates a state of the plant on the basis of the structure information.

Description

  The present invention relates to a plant simulation apparatus for simulating plant operation.

  In a nuclear power plant, it is indispensable to educate and train plant operations for human systems such as operators. Today, driving training simulation devices are used for training and education.

  The simulation apparatus simulates an event assumed in a nuclear power plant by a computer. For example, the simulation apparatus performs training that simulates start / stop, abnormal events, and accident events in a closed system between a plant and a central control room.

  For example, the plant operation training device disclosed in Patent Document 1 includes a voice processing device. The voice processing device recognizes the voice of the field work instruction from the control panel and selects a device corresponding to the operation instruction. The voice processing device transmits the operation signal of the field work equipment to the plant simulator. This plant operation training apparatus performs training without using personnel by using a voice processing device, and reduces the burden on the instructor.

  The driving training support device disclosed in Patent Literature 2 assumes a severe accident and performs a wide range of simulation of accident events.

  The simulation apparatus disclosed in Patent Document 3 predicts the total exposure amount due to radiation of a worker who works in a radiation irradiation facility before work. This simulation apparatus evaluates the amount of exposure along the path that passes through the work in the building by making the radioactivity concentration in the building of the nuclear power plant correspond to the three-dimensional CAD data.

Japanese Patent Laid-Open No. 2003-122243 JP 2000-338854 A JP 2000-212292 A

  Driving training simulation devices handle a wide variety of events. The knowledge that the student can acquire is limited to the range of events in normal driving that can be simulated. Conventionally handled events are within the range of various events envisaged in the plant design or operational procedure creation phase.

  However, in the event of an unforeseen major accident caused by a natural disaster, it is necessary to consider not only the central control room, but also the environment around the site and the plant. In addition, events to be trained need to consider events based on external factors such as earthquakes and tsunamis as well as those based on equipment failures.

  When a major accident that affects the site or the surrounding environment occurs, an event requiring operation on the site, such as connection of a fuel supply vehicle, a power supply vehicle, or a fire engine, may occur. For example, the time required for these on-site work and the type and presence or absence of obstacles to the on-site work can only be understood by going to the site and carrying out the work at the plant. For this reason, training and exercises including on-site work are necessary in normal times.

  In addition, when a large-scale accident occurs in the plant, training that considers the surrounding environment is required. For example, when the power source of a boiling water nuclear power plant is lost, there is a risk that cooling will be insufficient. The pressure in the containment drywell increases, which may affect the containment integrity. For this reason, it is necessary to open the vent valve of the dry well and release steam or gas containing radioactivity to the atmosphere.

  In such a case, it is necessary to operate the vent valve by judging the presence of people and ecosystems in the surrounding environment, the direction of diffusion when the radioactivity is released into the atmosphere, and the like.

  Also, when simulating abnormal events based on external factors such as earthquakes, for example, due to failure of the electrical system, the conventional simulation device determines the scenario and sets the failure point individually on the electrical system diagram. I was simulating. Therefore, the simulation apparatus cannot systematically simulate a failure due to an external factor such as submergence or damage due to an external force, and there is a concern that leakage may occur in the simulation range.

  In addition, when a plant fails due to an external factor, a device arranged at a specific location in the plant fails. The influence of the failure of the equipment on the plant depends on whether the failed equipment is an electric system, a pipe through which a fluid moves, or a gas system such as air in the area.

  However, the conventional simulation apparatus cannot simulate these effects, resulting in oversight of failure prediction, and it is difficult to verify accident countermeasure procedures.

  The present invention has been made in consideration of such circumstances, and an object of the present invention is to provide a plant simulation apparatus that can assume various accident events and can perform simulation in accordance with reality.

  In order to solve the above-described problem, a plant simulation apparatus according to the present invention includes storage means for storing structure information including a three-dimensional position of a structure included in a plant, and a three-dimensional position where an abnormal event has occurred. An abnormal event setting unit that sets abnormal event information, a search unit that searches the storage unit for the structure that is in an abnormal state due to the abnormal event, and a search by the search unit And a simulation unit that sets an abnormal state in the structure and simulates the state of the plant based on the structure information.

  In the plant simulation apparatus according to the present invention, various accident events can be assumed, and simulation can be performed according to reality.

The functional block diagram of the plant simulation apparatus in 1st Embodiment. The block diagram which shows the production | generation procedure of the plant equipment component database of a system | strain model. (A) is explanatory drawing which shows an example of each system diagram data, (B) is the conceptual diagram which reproduced the positional information on room data. An explanatory view showing an example of a plant equipment parts database. The flowchart which shows the flow of the simulation supposing the abnormality generation by a system | strain model. The flowchart which shows an example of specific step S2 of the abnormal condition apparatus of FIG. The layout which shows the arrangement | positioning relationship of the room in a plant, and various apparatuses. The connection diagram of the power supply system as an example in a plant. The figure which shows the power system model which simulated the power system of FIG. Explanatory drawing of the signal transmission in a generator model. Explanatory drawing of the signal transmission in a circuit breaker model. The system diagram which shows the process fluid system model which simulated the process fluid system. Explanatory drawing of a pump model. The system diagram which shows the gas system model which simulated the gas system. Explanatory drawing of a piping model. The flowchart explaining the field work training using emergency D / G model. The graph which shows the change of the fuel volume of the fuel tank of emergency D / G model. Explanatory drawing which shows the arrangement | positioning relationship of the structure for demonstrating an external environment model. A graph showing the concentration of radioactivity released to the external environment, based on the results of a radioactivity atmospheric diffusion model. The functional block diagram of the plant simulation apparatus as a 1st modification of 1st Embodiment. The functional block diagram of the plant simulation apparatus as a 2nd modification of 1st Embodiment. The graph which shows the change of the fuel volume of the fuel tank of the emergency D / G model in the simulation apparatus which is the 2nd modification of 1st Embodiment. The functional block diagram of the plant simulation apparatus as a 3rd modification of 1st Embodiment. The functional block diagram of the plant simulation apparatus in 2nd Embodiment. The flowchart explaining the field work training using emergency D / G model. The timing chart which shows operation | movement of a power-supply vehicle model. The timing chart which shows operation | movement of the power supply vehicle model when an abnormal state is set. The example of a display which shows the mode of the power vehicle model displayed on a field environment display apparatus.

[First Embodiment]
1st Embodiment of the plant simulation apparatus which concerns on this invention is described based on an accompanying drawing. In each embodiment described below, a plant simulation apparatus according to the present invention will be described by applying it to a simulation apparatus for supporting operation training of a boiling water nuclear power plant (plant).

  First, an outline of the simulation apparatus 1 will be described.

  FIG. 1 is a functional block diagram of a plant simulation apparatus in the first embodiment.

  The plant simulation apparatus (simulation apparatus) 1 mainly includes a severe event model 11, a field work model 12, a field work interface 13, and an external environment model 14. The severe event model 11, the field work model 12, and the external environment model 14 are connected to the central control room 2, and transmit and receive signals as necessary.

  The severe event model 11 simulates an abnormality of a plant including a severe event in a nuclear power plant. The severe event model 11 includes a fuel pool model 21, a core damage model 22, and a system model 23.

  The fuel pool model 21 simulates the water level according to the state of water injection into the fuel pool. The fuel pool model 21 simulates the skyshine effect of radiation emitted from the fuel. The fuel pool model 21 simulates damage and melting of the fuel due to heat generation such as decay heat of the installed fuel. The core damage model 22 simulates progress from a normal operation to a severe accident in the core, an explosion accompanying hydrogen generation, and the like.

  In order to simulate the fuel pool model 21 and the core damage model 22, a reactor model that simulates a so-called severe accident such as fuel failure is required. For the details of these models, a known technique (for example, JP 2000-338854 A) can be applied.

  The system model 23 retains data such as plant system diagram data, equipment data, and three-dimensional CAD data, and creates a plant equipment database from these data. The system model 23 simulates a plant system using these data.

  The on-site work model 12 assumes a large-scale accident that has a wide range of effects on the plant, such as the loss of all power sources, and includes training not only for operator operations in the central control room 2 but also on-site interaction. Used to implement The field work model 12 is a model of a system including equipment connected to the external environment of the plant. The on-site work model 12 is a model of various devices in which the remaining amount of resources held changes as work is performed on the site. For example, the finite amount of fuel, battery, pure water, etc. This is a model of equipment in which the remaining amount of resources changes depending on the work of the field worker and the operation of the equipment.

  The field work model 12 is, for example, an emergency D / G model 31, a pure water tank model 32, an RCIC drive battery model 33, an SRV drive nitrogen cylinder model 34, an air instrumentation model 35, and a power supply vehicle connection model 36. is there.

  The on-site work model 12 may use a model for simulating other on-site work. The site refers to a place where plant-related equipment is installed in the internal / external environment of the plant. On-site work (on-site operation) refers to work performed on-site other than the operation controlled in the central control room 2.

  An emergency D / G (diesel generator) model 31 simulates a fuel injection training for an emergency D / G 4 installed on the site. The emergency D / G model 31 simulates the emergency D / G in consideration of the remaining amount of fuel, the amount of fuel consumed by the load, and the fuel injection into the fuel tank.

  The pure water tank model 32 simulates the training of the operation of the pure water tank valve (site valve) 5 installed on the site. The pure water tank model 32 simulates the pure water tank in consideration of the remaining amount of the pure water tank, the selection of water injection means for the pure water tank, and the amount of water injection according to the water injection means.

  The RCIC (isolation cooling system) drive battery model 33 simulates an RCIC drive battery installed in the field. The RCIC drive battery model 33 simulates the RCIC drive battery in consideration of the remaining battery level and the consumption due to the load.

  Similar to the pure water tank model 32, the SRV (pressure relief valve) driving nitrogen cylinder model 34 and the air instrumentation model 35 simulate training of operation of equipment installed on the site including the site valve 5.

  The SRV driving nitrogen cylinder model 34 simulates the SRV driving nitrogen cylinder in consideration of the remaining amount of the cylinder, the selection of the supply means, and the consumption according to the operation. The air instrumentation model 35 simulates the air instrumentation in consideration of the remaining amount of the cylinder and the consumption according to the operation. The power supply vehicle connection model 36 simulates training in the operation of the power supply vehicle 6 and the power supply panel 7 for supplying power.

  In the field work model 12, a fire engine 8 that supplies water to the water injection port 9 can also be used for simulation as equipment or equipment that performs work on the field.

  The field work interface 13 sets the remaining amount of a finite resource such as fuel or pure water by passing a signal input from the outside to each model of the field work model 12.

  The external environment model 14 simulates the amount of radioactivity released from the exhaust stack, which is a plant structure, into the external environment.

  The simulation apparatus 1 in this embodiment has two functions. The first function is a function (abnormal state simulation function) for performing an abnormal state simulation in consideration of the spatial position of equipment included in the plant. This function is realized mainly using the system model 23. The second function is a function (on-site work simulation function) for training an operator by simulation in consideration of on-site work. This function is realized mainly by using the field work model 12 and the field work interface 13.

  First, the abnormal state simulation function as the first function will be described. For example, the system model 23 sets an abnormal region based on an input from the instructor 10 as an abnormal state used for training. The system model 23 has a database of equipment parts included in the plant. This database stores parameters and position information of each device in advance.

  FIG. 2 is a block diagram illustrating a generation procedure of the plant equipment component database 41 of the system model 23.

  The system model 23 includes instrumentation system diagram data 42, electrical system diagram data 43, plant three-dimensional CAD data (equipment arrangement data) 44, piping system diagram data 45, and building system diagram data 46 as system diagram data. By using the plant three-dimensional CAD data 44, position information can be added in addition to the parameters of the device.

  The state variable / position information input unit 48 inputs state variables and position information of devices included in each system. The plant equipment component database 41 is generated based on the input of each system diagram data 42, 43, 45, 46 and the state variable / position information input unit 48.

  3A is an explanatory diagram showing an example of each system diagram data 42, 43, 45, 46, and FIG. 3B is a conceptual diagram reproducing position information of the room data 53. As shown in FIG.

  The piping system diagram data 45 stores, for example, pump data 51. The electrical system diagram data 43 stores, for example, circuit breaker data 52. The building system diagram data 46 stores room data 53, for example. Each of the data 51 to 53 stores, for example, “attributes” such as “name” and “part type”, and “attribute values” that are values of these attributes. For example, the pump data 51 is data in which “name” of the attribute is “infusion pump” and “part type” is “electric pump” as an example.

  Unlike the pump data 51 and the circuit breaker data 52, the room data 53 generally has position information as an original attribute. Therefore, position information is also given to the room data 53 (building system diagram data 46). The characteristic coordinate start point and characteristic coordinate end point that give the spatial position information of the room data 53 are shown in FIG.

  FIG. 4 is an explanatory diagram showing an example of the plant equipment component database 41.

  The plant equipment parts database (equipment parts database) 41 is based on the above-described system diagram data 42, 43, 45, 46, plant three-dimensional CAD data 44, and plant state variables and position information input by an operator. Generated. The state variable of the pump data 61 is a state variable that changes according to the operation state of the plant and the surrounding environment, such as “inlet 1 mass flow rate” and “inlet 1 density”. The position information is “start point coordinates” and “end point coordinates”. The circuit breaker data 62 and the room data 63 are also given state variables and position information.

  The system model 23 includes the plant equipment component database 41, thereby enabling simulation based on the state variables and position information of each equipment managed in the database.

  FIG. 5 is a flowchart showing the flow of simulation assuming the occurrence of abnormality by the system model 23.

  First, for example, an abnormal event due to an external factor is set by an operator of the simulation apparatus 1 (step S1). The simulation apparatus 1 accepts the setting of abnormal event information including the region where the abnormal event has occurred and the type of abnormal event (for example, submergence, temperature rise, damage).

  The simulation apparatus 1 identifies devices that are in an abnormal state based on the set information on the abnormal event. The simulation apparatus 1 refers to the information stored in the equipment component database 41 and generates an abnormal equipment list (steps S2 and S3). The specification of abnormal state devices will be described in detail with reference to FIG.

  In addition, the simulation apparatus 1 may omit the generation of the abnormal equipment list, and may distinguish the presence or absence of abnormality by setting a flag for the corresponding equipment in the plant equipment component database 41, for example.

  The simulation apparatus 1 reads an instrumentation system model 71, an electrical system model 72, a piping model 73, and a building model 74, which are examples of an equipment model in an abnormal state, from the equipment component database 41 based on the abnormal equipment list ( Step S4).

  Each model 71-74 calculates each state variable with time according to the abnormal event, and updates the state of each model 71-74. The state of each model 71-74 is stored in the state database 81-84 provided for each model 71-74. For example, the piping model 73 calculates the state quantity such as the flow rate of the gas or fluid flowing through the piping, the temperature, pressure, and radioactivity of the piping, and the presence / absence of an abnormal state, and stores them in the equipment state database 83. The models 71 to 74 are connected to each other, and an abnormal state is propagated between related devices between models as described later.

  That is, the simulation that assumes the occurrence of an abnormality by the system model 23 gives an initial abnormal event (for example, submergence due to the occurrence of a tsunami or damage due to an earthquake) in the abnormality generation step S1, and the abnormal state in each of the models 71 to 74 thereafter. Occurrence and change are simulated as needed based on state variables and position information stored in the equipment component database 41.

  In addition, each model 71-74 may maintain the state quantity calculated based on the setting of the initial abnormal event, without changing an abnormal state with progress of time. Further, the operator may input an abnormal event a plurality of times and update the abnormal state of each model 71 to 74.

  FIG. 6 is a flowchart illustrating an example of the identifying step S2 for the abnormal state devices in FIG. FIG. 6 shows a procedure for identifying abnormal state devices assuming a case where a tsunami occurs and a certain room is submerged.

  FIG. 7 is a layout diagram showing the layout relationship between rooms and various devices in the plant.

  Prior to the description of FIG. 6, each structure shown in FIG. 7 will be described. In the building configuration shown in FIG. 7, a region 100 indicated by hatching is a structure that partitions a room such as concrete. Each area surrounded by a rectangle present in the structure that divides the room is a room in the building. In FIG. 7, each room is given a room number considering the hierarchy. For example, the 100th room is the first floor, and the 200th room is the second floor. The electrical equipment installed in each room is connected by a power line 101 indicated by a thin solid line indicating the flow of electricity. The switch 122c is connected to an external power source.

  The distribution board 111 is connected to the valves 112a, 112b, 112c and the motor 113, and supplies power to each of them. The control panel 116 supplies a control signal 102 indicated by a dotted line to the valves 112a, 112b, 112c and the motor 113. The liquid in the tank 114a is transferred to the tank 114b by a line 103a shown by a bold solid line by valves 112a, 112b, 112c, 112d, and 112e connected to the tank 114a and a pump 115. The liquid in the tank 114b is transferred to the tank 114c via a line 103b indicated by a thick solid line through valves 112f and 112g connected to the tank 114b.

  The rooms are connected by a pipe 105 indicated by a double line. The outside air inlet 117 takes in outside air and sends it to the rooms 301, 101, 001. Each room 301, 101, 001 is connected to the rooms 302, 202, 102, 104 by piping 105, and the air in each room finally merges before the room 204. Air is discharged from the exhaust stack 120 by the exhaust fan 119 through the filter 118. Each room may be connected by a passage and a door.

  Hereinafter, the abnormal state device identification processing of FIG. 6 will be described.

  The simulation apparatus 1 accepts an input of a room number in which an abnormal event has occurred based on the operator's input (step S11). For example, the simulation apparatus 1 detects an abnormal event in which a device in the “room 001” (indicated by a cross mark in FIG. 7) shown in FIG. 7 is damaged due to external factors such as submergence, temperature rise, and explosion. Set.

  The simulation apparatus 1 searches the plant equipment component database 41 based on the room number, and acquires position information indicating the type and area of the target room (step S12). For example, in the simulation apparatus 1, the room type is “type 1” indicating a rectangular parallelepiped, the room area has horizontal, vertical, and height (X, Y, Z) ranges of coordinates (XS001 <X <XE001, YS001). <Y <YE001 and ZS001 <Z <ZE001 are obtained from the equipment component database 41.

  The simulation apparatus 1 determines whether or not device coordinates indicating device position information included in the device component database 41 are included in the range of the target room (step S13). In FIG. 7, the switch 122 a and the diesel generator 123 included in the room 001 are searched.

  When a device included in the room range is searched, the simulation apparatus 1 sets the searched device as an abnormal state device. In FIG. 7, an abnormal state (signal) is set for the switch 122 a and the diesel generator 123 included in the room 001.

  At this time, the type of abnormality of each device is determined by the type of abnormal event set in the abnormality occurrence step S1 of FIG. That is, if the abnormal event is submerged, the switch 122a is set in the corresponding state database 82 as being in the closed state or short-circuited abnormal state. In addition, the diesel generator 123 is set in the state database 82 as being incapable of starting or being short-circuited abnormally.

  After setting the abnormal state, the simulation apparatus 1 simulates the abnormal state using models such as a power supply system, a process fluid system, and a control system model including the models 71 to 74. The influence on other models after the abnormal state is set will be described with reference to FIG.

  When the diesel generator 123 and the switch 122a included in the room 001 are short-circuited, the distribution board 111 connected downstream of the power line 101a is in an abnormal state unless the switch 122b is opened. Further, the motor 113 and the valves 112a and 112b connected to the distribution board 111 are stopped. On the other hand, when the switch 122b is open, the power line 101a is normal, and the motor 113 and the valves 112a and 112b operate if the external power supply is operating.

  Further, when power from the outside is lost, power is not supplied to the plant, and the motor 113 and the valves 112a and 112b are stopped. Along with this, the pump 115 stops and the transfer from the tank 114a to the tank 114b is lost.

  The operation of a model such as a valve or a pump is performed by a signal transmitted from the control panel 116. The control panel 116 also operates based on the supply of power. When the power supply line 101a is in an abnormal state, the operation of the inverter 125 is stopped. When the power supply from the battery 127 cannot be switched by the switch 126, the operation of the control panel 116 is stopped.

These power supply system, process fluid system, and control system are simulated by a power supply system, process fluid system, and control system model, respectively. Each model holds a signal indicating an abnormal state as an attribute in the device part database 41, and by exchanging these signals between the models, an abnormal state of a certain device on another device is detected. Can be simulated.
Hereinafter, specific examples of each model will be described.

  The power supply system model is a model that transmits a digital signal because the presence or absence of a power supply and the presence or absence of an abnormality need only be held as state variables.

  FIG. 8 is a connection diagram of a power supply system as an example in the plant.

  FIG. 9 is a diagram showing a power system model simulating the power system of FIG.

  The power supply system shown in FIG. 8 is connected to a generator G, a 500 kV external power supply, and an in-house power supply separated therefrom. The in-house power source is connected to a regular bus and an emergency bus, and various devices such as a motor are connected below the bus. The emergency bus is connected to the emergency diesel generator, and further joined to the DC bus to connect to the plant instrumentation system and the safety protection system.

  In order to simulate the power supply system shown in FIG. 8, parts such as a transformer, a generator, and a circuit breaker are stored in the equipment part database 41 in the parts table 131 shown in FIG. 9. The operator of the simulation apparatus 1 connects these components with reference to the connection diagram of FIG. 8 to construct a power system model. If there is CAD data related to the connection relationship between devices, it is not necessary for the operator to manually connect the components of the power system model.

  FIG. 10 is an explanatory diagram of signal transmission in the generator model.

  The generator model inputs a start signal, a short circuit signal, and an abnormal state signal, and outputs a generator start state signal, a generator stop state signal, and a short circuit state signal. In the generator model, there are an abnormality due to a short circuit and an abnormality due to an abnormal state such as a physical failure. When the start signal is ON, the short circuit signal is 0 (no short circuit), and the abnormal state signal is 0 (no abnormal state), the generator model outputs the start state signal 1. When the short circuit signal is 1 (there is a short circuit), the short circuit state signal is propagated to the connection destination of the generator model. The generator model passes the generator start-up state signal and the short-circuit state signal to the other models that are connected.

  FIG. 11 is an explanatory diagram of signal transmission in the circuit breaker model.

  The circuit breaker model inputs a circuit breaker break signal, a short circuit signal, and an abnormal state signal, and outputs a circuit breaker start state signal, a circuit breaker stop state signal, and a short circuit state signal. The circuit breaker model is when the input signal is ON (value is 1), the circuit breaker is not “OFF”, the short circuit signal is 0 (no short circuit), and the abnormal state signal is 0 (no abnormal state). Outputs a maneuver state signal 1. When the short circuit signal is 1 (there is a short circuit), the short circuit state signal is propagated to the connection destination of the circuit breaker model. The circuit breaker model passes the circuit breaker activation state signal and the short circuit state signal to the other models that are coupled.

  In addition, an inverter, a rectifier, and the like can be simulated in the same manner. Thereby, when an abnormal state occurs in a device in a certain region, propagation of the abnormal state to another electric device (model) is simulated.

  Next, a process fluid system model that simulates a process value of a fluid such as a pump will be described.

  FIG. 12 is a system diagram showing a process fluid system model that simulates the process fluid system.

  When simulating the process fluid system model, the parts of the process equipment as shown in the parts table 132 are stored in the equipment part database 41 as in the power supply system model. The operator of the simulation apparatus 1 connects these components with reference to an actual system diagram, and constructs a process fluid system model. For example, in the pump model, the flow rate is calculated by a pump component, and for the tank, the liquid amount, temperature, component, etc. are calculated by the tank component.

  FIG. 13 is an explanatory diagram of a pump model.

  The pump model refers to the equipment part database 41, and calculates the outlet pressure and flow rate by inputting the pump inlet pressure and pump rotation speed, fluid density, and inlet / outlet head. Specifically, the pressure at the outlet of the pump is obtained by the following equation.

here,
P ₁ : Suction part pressure
L ₁ : Suction part height
P _2: the discharge portion pressure
L ₂ : Discharge height
W ₁₂ : Pump flow rate ρ ₁₂ : Pump fluid density ΔP ₁₂ : Pump head
g: Gravity acceleration

  For the valve model and the piping model, the outlet pressure and the like are obtained from the state variables such as the pressure, the pressure loss coefficient, and the valve opening degree stored in the equipment component database 41.

  The liquid in the tank in the tank model includes k types of components, and the k-th component of the liquid can be calculated by the following equation.

here,
M _k : Mass of the k-th component of the tank liquid (kg)
W _{in, i, k} : k-th component mass flow rate (kg / h) of the liquid flowing into the tank from the i-th pipe
W _{ot, j, k} : k-th component mass flow rate (kg / h) of the liquid flowing out from the tank in the j-th pipe
N _in : Number of pipes flowing into the tank
N _ot : Number of pipes flowing out of the tank

The total mass M (kg) and total volume V (m ³ ) of the liquid are calculated as follows.

here,
ρ: Density of tank liquid (kg / m ³ )

The liquid temperature T (° C.) of the tank is calculated as follows.

here,
C _p : Specific heat of tank liquid (kcal / kg / ℃)
C _{pin, i} : Liquid temperature (℃) of the liquid flowing into the tank from the i-th pipe
T _{in, i} : Liquid temperature (℃) of the liquid flowing into the tank from the i-th pipe

  Next, the gas system model will be described.

  FIG. 14 is a system diagram showing a gas system model simulating a gas system.

  In a gas system model (gas system), gas is discharged from an exhaust pipe by an exhaust fan through piping, each room, a valve, and a filter from an outside air intake.

  When simulating a gas system model, components such as an exhaust fan, a blower, a room, and a valve as shown in the component table 133 are stored in the device component database 41. The operator of the simulation apparatus 1 connects these components with reference to an actual system diagram, and constructs a gas system model. For example, the flow rate is calculated by the exhaust fan parts for the exhaust fan, and the liquid amount, temperature, component, etc. are calculated by the room parts for the room.

  Since these exhaust fans, rooms, and valves are gas systems, it is necessary to consider compressibility, but the calculations are almost the same as those for process system pumps, tanks, and valve components.

  FIG. 15 is an explanatory diagram of a piping model.

  The piping is an area between the numbers 1 and 2, and the density and pressure of the numbers 1 and 2 are input, respectively, and the flow rate is obtained from the parameters of the piping cross-sectional area, the length, and the pressure loss parameter.

The calculation formula of the flow rate in piping parts is shown below.

  Since the pressure in the room is a gas, it is calculated by the equation of state.

  On the other hand, when an abnormal event such as submergence occurs and the flow path of the room is closed, a fixed value is set as the pressure.

That is,

here,
R: Gas constant
T _G : Gas temperature
P _MF : Gas pressure in abnormal state

  The setting of these abnormal events is realized by setting a room as an abnormal area, similarly to the electric system abnormality described in FIG.

  The simulation apparatus 1 described as described above can realize a “function for simulating an abnormal state in consideration of the spatial position of equipment included in a plant” as a first function. That is, the abnormal state of the nuclear power plant can be set in detail, and training using a more realistic simulation can be performed.

  The simulation apparatus 1 can perform more detailed simulation using position information in addition to the state variables of the equipment by using the three-dimensional CAD data (equipment placement data) of the equipment and rooms arranged in the plant.

  In addition, the simulation apparatus 1 can simulate an abnormal state that occurs in a certain device or area and affects other devices. Therefore, the simulation apparatus 1 is not limited to an event in a range assumed in advance, and has skills and knowledge that can be acquired by a trainee. It is effective in a wide range.

  Furthermore, the simulation apparatus 1 can naturally set a common mode error, which can be used for understanding and verifying events.

  Next, a function (field work simulation function) for training an operator by simulation considering the field work as the second function will be described.

  First, the general flow of the on-site work simulation function will be described.

  FIG. 16 is a flowchart for explaining field work training using the emergency D / G model 31.

  The simulation apparatus 1 models an event according to the set training content, and starts training for an operator arranged in the central control room 2. In the following description, for example, a simulation using the emergency D / G model 31 assuming that the external power supply is lost and the emergency D / G 4 is activated will be described as an example. In the event of a major accident, the site worker is instructed to inject fuel while performing reports and instructions with the emergency response center 140. The emergency countermeasure center 140 is a so-called off-site center, and is a facility serving as a countermeasure base in an emergency.

  In step S <b> 21, the simulation apparatus 1 activates the emergency D / G 4 in the emergency D / G model 31. In step S22, the remaining fuel amount of the emergency D / G model 31 decreases according to the operating time. The activation of the emergency D / G 4 and the remaining fuel amount are notified to the central control room 2 where the operator waits.

  In step S23, when the necessity of fuel injection into the emergency D / G 4 occurs in the emergency D / G model 31, the operator gives a work instruction by voice using, for example, a telephone.

  In step S24, the field worker performs field work with an actual machine or training for confirming the work procedure based on the work instruction. In step S25, when the field worker is completed, the field worker reports the work completion to the operator by voice using, for example, a telephone.

  In step S <b> 26, a work completion report is input to the simulation apparatus 1. The work completion report is input to the simulation apparatus 1 via, for example, an instructor (assistant) of this training. In addition, when the operator of the central control room 2 performs training alone (when there is no field worker), the instructor may give a work completion report of the field worker.

  In step S <b> 27, the field work interface 13 sets the remaining amount of fuel in the emergency D / G model 31. In step S28, the emergency D / G model 31 reflects the remaining amount of fuel.

  This flow consists of a field valve 5 whose opening degree cannot be confirmed in the central control room 2, a power supply vehicle 6 connected to secure power from the outside, a power supply panel 7, a fire engine 8 as a water injection means, and a fire engine 8 The same applies to the water inlet 9 to which is connected. For this reason, description other than emergency D / G4 is abbreviate | omitted here.

  Next, a method for the field work interface 13 to set the remaining amount of finite resources such as fuel and pure water in the field work model 12 will be described.

  In the field work simulation, for example, the fuel volume of the emergency D / G model 31 is expressed by the following equation. The field work interface 13 may set a target volume value and a supply amount by injection.

here,
V _OIL : Fuel volume for emergency D / G
V _{OIL, TARGET} ： Target fuel volume for emergency D / G
F _{OIL, in} : Fuel supply flow rate to emergency D / G fuel tank
F _{OIL, in, 0} : Fuel supply flow rate setting value to the emergency D / G fuel tank
F _{OIL, ot, j} : Fuel supply flow rate to the jth emergency D / G

  FIG. 17 is a graph showing changes in the fuel volume of the fuel tank of the emergency D / G model 31.

The horizontal axis indicates the passage of time, and the vertical axis indicates the volume of fuel in the fuel tank. If the emergency D / G 4 is operating, the fuel volume decreases with consumption, but increases if there is sufficient fuel supply. The fuel supply operation is performed until the fuel volume reaches the target value V _{OIL, TARGET} . Similarly, after the fuel is supplied, the fuel volume decreases as the fuel is consumed.

  Although the fuel of the emergency D / G model 31 has been described, the water consumption of the pure water tank, which is a finite resource, the remaining amount of the SRV driving nitrogen cylinder, the remaining amount of the air instrumentation cylinder, and the remaining battery amount The same applies to.

  The simulation apparatus 1 described as described above can realize a “function for training an operator by simulation in consideration of on-site work” as a second function.

  That is, the simulation apparatus 1 according to the first embodiment not only trains events that occur in the plant as in the conventional simulation apparatus, but also trains so-called field work performed in the external environment of the plant. Can do. Since the simulation apparatus 1 performs training in consideration of limited resources in preparation for a severe natural disaster, the trainer can perform training based on a simulation that is more realistic.

  Moreover, the simulation apparatus 1 in the first embodiment is based on a more specific event by linking the abnormal state simulation function as the first function and the on-site work simulation function as the second function. A simulation can be performed. For example, the simulation device 1 can perform more systematic training by reflecting the abnormal states of various devices simulated by the abnormal state simulation function in the field work situation.

  Finally, details of the external environment model 14 will be described with reference to the drawings.

  FIG. 18 is an explanatory diagram showing the arrangement relationship of structures for explaining the external environment model 14.

  The nuclear power plant includes structures such as a reactor building 151, a dry well 152, a nuclear reactor 153, and a wet well 154. When an accident occurs in the plant, the radioactivity is released from the exhaust pipe 158 to the external environment through the pipe 155, the valve 156, the filter 157, and the like. The released radioactivity is detected by monitoring posts 159 installed around the plant and in each region. The release of radioactivity varies depending on the degree of plant damage and the open / close status of the valve 156.

  Therefore, during normal times, it is necessary to train in consideration of the surrounding environment of the plant in the event of a large-scale accident that may result in the release of radioactivity or the possibility of such release. For example, when the power source is lost in the plant, the reactor 153 is not sufficiently cooled. When the cooling or the like is not restored, the pressure of the dry well 152 of the storage container increases over a long period of time, which may affect the soundness of the storage container.

  Therefore, it is necessary to open the vent valve 156 of the dry well 152 and release steam and gas to the atmosphere. In such a case, it is necessary to operate the vent valve 156 by determining the presence or absence of an ecosystem such as a person in the surrounding environment, the diffusion direction when released into the atmosphere, and the like.

  For example, the calculation of the atmospheric diffusion is obtained as follows, where x is the leeward direction.

here,
χ (x, y, z): concentration of radioactive material at point (x, y, z)
Q: Release rate
U: Wind velocity representative of emission source height λ: Physical decay constant of radioactive material
H: Height of the emission source (considering both high emission from the stack or low emission from the reactor building if the reactor building is damaged)
σy: Y-direction spread parameter of concentration distribution σz: Z-direction spread parameter of concentration distribution

  FIG. 19 is a graph showing the result of calculation based on the atmospheric diffusion model of radioactivity and showing the radioactivity concentration released to the external environment.

  The emitted radioactivity concentration is shown as a spatial concentration by contour lines on a map showing the periphery of the plant. The simulation result can be confirmed by the operator, for example, by being displayed on a display device provided in the central control room 2 and connected to the simulation device 1. The calculation of the atmospheric dispersion of radioactivity is an example, and a more detailed model may be used. In order to simulate the release of radioactivity into the atmosphere, a reactor model that simulates a so-called severe accident such as fuel failure is required. This model is simulated, for example, by applying a known technique (for example, JP 2000-338854 A) and switching the model.

  Thus, the simulation apparatus 1 can train the operation operation of the plant by predicting the diffusion of the radioactive release amount.

  In addition, the simulation apparatus 1 in 1st Embodiment is an example, As shown in FIGS. 20-22, another structure may be sufficient.

  FIG. 20 is a functional block diagram of a plant simulation apparatus as a first modification of the first embodiment.

  The difference between the simulation apparatus 1a and the simulation apparatus 1 of FIG. 1 is that equipment installed on the site is installed for training. In training using the simulation apparatus 1a, using the equipment installed for training, operation of the emergency D / G 4a, operation of the on-site valve 5a, connection operation of the power supply vehicle 6a to the power supply panel 7a, fire engine 8a Connect the portable pump and water truck.

  The simulation apparatus 1a is, for example, a training plant, and is implemented by installing simulated on-site equipment even when training is performed in an environment where equipment for performing on-site work is not arranged. It is effective in that the form can be applied.

  FIG. 21 is a functional block diagram of a plant simulation apparatus as a second modification of the first embodiment.

  The simulation apparatus 1b is different from the simulation apparatus 1 of FIG. 1 in that a completion report of the field work to the simulation apparatus 1b is performed by the field worker 150 by wireless communication using a communication device such as the portable terminal 151. is there.

  When the field work is completed, the field worker 150 communicates wirelessly with the simulation apparatus 1b using the portable terminal 151.

  FIG. 22 is a graph showing a change in the fuel volume of the fuel tank of the emergency D / G model 31 in the simulation apparatus 1b which is the second modification of the first embodiment.

  Unlike FIG. 17, the emergency D / G model 31 does not reflect the fuel supply process. Therefore, when the on-site work completion report is notified from the on-site worker, the fuel volume is immediately increased to the target value.

  This simulation apparatus 1b can reduce the burden of training because there is no need for an instructor as an assistant to mediate.

  FIG. 23 is a functional block diagram of a plant simulation apparatus as a third modification of the first embodiment.

  The simulation apparatus 1c is different from the simulation apparatus 1 of FIG. 1 in that the simulation apparatus 1c includes a voice recognition device 160 and automatically recognizes a work completion report from the field worker to the operator.

  The voice recognition device 160 acquires the content of the voice call from the field worker to the operator, and when a preset work completion report is made, notifies the field work interface 13 that the field work has been completed. To do. As with the simulation apparatus 1b in FIG. 21, it is not necessary for an instructor as an assistant to mediate, so the burden of training is reduced.

[Second Embodiment]
2nd Embodiment of the plant simulation apparatus which concerns on this invention is described based on an accompanying drawing.

  FIG. 24 is a functional block diagram of the plant simulation apparatus in the second embodiment.

  The plant simulation apparatus (simulation apparatus) 201 according to the second embodiment is different from the first embodiment in that an on-site environmental equipment model 210 is provided in order to simulate on-site work in the simulation apparatus 201. The components and parts corresponding to those in the first embodiment including the abnormal state simulation function that is the first function are denoted by the same reference numerals, and redundant description is omitted.

  In training for the operator or emergency response center 140, the presence of field workers and actual field work are not required. For example, a substitute for a field worker receives an instruction from the operator and completes the operation at an appropriate timing. However, the simulation apparatus 201 simulates the field work itself from the viewpoint of reducing the training load and performing training by a specific target person.

  The on-site environmental equipment model 210 includes an on-site emergency D / G model 204, a on-site valve model 205, a power supply car model 206, a power supply panel model 207, a fire engine model 208, and a water inlet model 209. Each of the models 204 to 209 simulates an emergency D / G, a site valve, and the like installed on the site under preset conditions.

  The on-site environment equipment model 210 is connected to the on-site condition abnormality input device 211 and the on-site environment display device 212. The on-site state abnormality input device 211 performs input for generating an arbitrary abnormality in the on-site work simulation performed by the on-site environmental equipment model 210. The on-site state abnormality input device 211 receives input from, for example, an instructor as an assistant. The on-site environment display device 212 displays the on-site situation simulated by the on-site environment equipment model 210.

  The work completion report signal output from the on-site environment model 210 is output to the on-site environment model interface 213. The on-site environment model interface 213 notifies the on-site work interface 13 of the received work completion report signal.

  The general flow of the on-site work simulation function will be described by taking on-site work for an emergency D / G as an example.

  FIG. 25 is a flowchart for explaining field work training using the emergency D / G model 31.

  Steps S31 to S33 are substantially the same as the start step S21 to the work instruction step S23 in FIG.

  In step S <b> 34, the instructor as an assistant inputs a fuel injection work instruction from the operator to the field worker to the field emergency D / G model 204 of the field environmental equipment model 210. In step S35, the on-site emergency D / G model 204 simulates the fuel injection operation for the emergency D / G as the on-site operation.

  In step S36, the field emergency D / G model 204 completes the field work. The on-site emergency D / G model 204 transmits an on-site work completion report (work completion report signal) to the instructor (the instructor's terminal 220). The instructor gives a work completion report to the operator (central control room 2).

  In step S37, the on-site environment model interface 213 receives the work completion report signal output by the on-site emergency D / G model 204. In step S <b> 38, the field work interface 13 receives a work completion report from the field environment model interface 213.

  Steps S39 and S40 are substantially the same as the remaining amount setting step S27 and the reflection step S28 in FIG.

  Next, an example of the operation of the power vehicle model 206 in the on-site environmental equipment model 210 will be described.

  FIG. 26 is a timing chart showing the operation of the power supply vehicle model 206.

  The horizontal axis is time, and the vertical axis is the speed and position of the power supply vehicle. When the driver is instructed to deploy the power supply vehicle, the power supply vehicle model 206 departs for the site. The power vehicle model 206 gradually accelerates after departure, and reaches a constant speed when approaching the target position, that is, the power panel model 207 position. After the power car model 206 arrives at the site, the power car model 206 is connected to the power panel model 207. When the connection is completed, the power supply car model 206 outputs a work completion report signal to the operator (the instructor's terminal 220).

  Next, simulation when an abnormal state is set by the on-site state abnormality input device 211 will be described.

  FIG. 27 is a timing chart showing the operation of the power supply vehicle model 206 when the abnormal state is set.

  FIG. 28 is a display example showing a state of the power supply vehicle model 206 displayed on the site environment display device 212.

  FIG. 27 simulates a case where an abnormal event occurs during the movement of the power supply car model 206 and the power supply car model 206 cannot reach the destination.

  The field condition abnormality input device 211 sets an abnormal event (MF: Malfunction) in which the power supply car model 206 cannot connect to the power supply panel model 207 after the power supply car model 206 departs (power car abnormality MF input completion report). ). MF is an abnormal event in which debris and obstacles are scattered in the route of the power supply car due to a natural disaster such as an earthquake, and the power supply car cannot be connected to the power supply panel.

  Then, the power supply car model 206 cannot reach the destination, and a report from the power supply car model 206 (site) is notified to the driver (instructor terminal 220) (power supply car abnormality report). The operator makes judgments and operations as the next response according to the reported situation.

  The operation of the power vehicle model 206 is displayed on the site environment display device 212 by computer graphics or the like. On the map, the road 231, the target power supply car model 206, the plant 232a, the plant 232b, and the surrounding environment such as the mountain 233 and the sea 234 are displayed. Information such as the position of the power supply car model 206 is updated as it moves. Thereby, the instructor can easily grasp the progress of the training.

  As described above, the simulation apparatus 201 can perform training in consideration of various abnormal events even in on-site operation by simulating on-site work using the on-site environmental equipment model 210.

  Although several embodiments of the present invention have been described, these embodiments are presented by way of example and are not intended to limit the scope of the invention. These novel embodiments can be implemented in various other forms, and various omissions, replacements, and changes can be made without departing from the scope of the invention. These embodiments and modifications thereof are included in the scope and gist of the invention, and are included in the invention described in the claims and the equivalents thereof.

DESCRIPTION OF SYMBOLS 1, 1a-1c, 200, 201 ... Simulation apparatus, 2 ... Central control room, 11 ... Severe event model, 12 ... Site work model, 13 ... Site work interface, 14 ... External environment model, 21 ... Fuel pool model, 22 ... core damage model, 23 ... system model, 31 ... emergency diesel generator (D / G) model, 32 ... pure water tank model, 33 ... battery model for drive during cooling system (RCIC), 34 ... pressure relief valve (SRV) Nitrogen cylinder model for driving, 35 ... Air instrumentation model, 41 ... Plant equipment component database, 42 ... Instrumentation system diagram data, 43 ... Electrical system diagram data, 44 ... Plant three-dimensional CAD data, 45 ... Piping system Diagram data 46 ... Building system diagram data 48 ... State variable / position information input unit 160 ... Voice recognition device 210 ... On-site environmental equipment mode 204 ... Emergency diesel generator (D / G) model, 205 ... On-site valve model, 206 ... Power supply car model, 207 ... Power supply panel model, 208 ... Fire engine model, 209 ... Water inlet model, 211 ... Site condition Abnormal input device, 212 ... field environment display device, 213 ... field environment model interface.

Claims (9)

Storage means for storing structure information including a three-dimensional position of the structure included in the plant;
Abnormal event setting means for setting abnormal event information including the three-dimensional position where the abnormal event has occurred,
A search unit that searches the storage unit based on the abnormal event information for the structure that is in an abnormal state due to the abnormal event;
A plant simulation apparatus comprising simulation means for setting an abnormal state in the structure searched by the search means and simulating the state of the plant based on the structure information. The abnormal event information further includes a type of the abnormal event,
The structure information further includes an abnormal state that occurs in the structure according to the type of the abnormal event,
The plant simulation apparatus according to claim 1, wherein the simulation unit simulates an abnormal state that occurs for each structure according to a type of the abnormal state. The structure information further includes a state variable of the structure,
The plant simulation apparatus according to claim 1, wherein the simulation unit simulates an abnormal state that occurs for each structure according to the state variable. The plant simulation apparatus according to claim 3, wherein the simulation unit updates the state of the plant with the passage of time based on the state variable. The structure information further includes a connection relationship with another structure,
The plant simulation device according to any one of claims 1 to 4, wherein the simulation unit sets an abnormal state in the other structure that is coupled to the structure that is in an abnormal state. Field work simulation means for simulating the operation of the plant structure associated with the field work performed at the plant site;
Receiving means for receiving a report of the field work for the simulated structure;
The plant simulation apparatus according to claim 1, wherein the on-site work simulation unit simulates the operation of the structure by reflecting the report received by the reception unit. The plant simulation apparatus according to claim 6, wherein the on-site operation simulation means simulates at least one of an emergency diesel generator, a pure water tank, a battery for driving an isolation cooling system, a pressure relief valve, and an air instrumentation. A field work simulation means for simulating the operation of the plant structure associated with the field work performed at the plant site;
Receiving means for receiving a report of the field work on the simulated structure,
The plant simulation apparatus, wherein the field work simulation means simulates the operation of the structure reflecting the report received by the reception means. The structure on which the field work is performed is a device having a finite resource,
The field work is a work to supply the resources,
The plant simulation apparatus according to claim 8, wherein the field work simulation means increases or decreases the amount of the resource held based on the operation of the equipment and the field work.

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