JP2018151088A - Distributed simulation system - Google Patents

Abstract

A distributed simulation system capable of suppressing errors in extrapolated values of spatial information of a DR external entity in a passive simulator and enabling appropriate simulation. A distributed simulation system (50) has an active side simulator (1) and a passive side simulator (2) which are connected to a network (3) and perform communication control using a DR algorithm. The passive-side simulator 2 has an active-side entity substitute function unit 23 . The active-side entity substitution function unit 23 exchanges information with the entity simulated by the active-side simulator 1, and while the spatial information of the entity is required, instead of the extrapolation calculation by the DR algorithm, the active-side simulator Spatial information is acquired by simulating the same entity as the entity simulated by 1. [Selection drawing] Fig. 1

Description

  The present invention relates to a distributed simulation system in which a plurality of simulators perform simulation while exchanging data via a network.

  An application example of a distributed simulation system is a distributed real-time training simulation system for defense. In this type of simulation system, a large number of simulators are connected by a network. Simulation information of a simulated entity simulated in a certain simulator is transmitted to another simulator via a network, and a battle situation by a large number of simulated entities simulating a friendly unit and an enemy unit is simulated. One example of a simulated entity is a tank in a tactical training simulator, and another example is a fighter and a fighter unit in an air combat simulator. Examples of simulated information in the simulated entity include exercise information including position and speed, state information including the number of remaining bullets and damage status, and event information including attacks and communications.

  In such a distributed real-time training simulation system for defense, in order to improve the reusability and interconnection of the simulator, standard technologies for the purpose of system development and reduction of operation costs are defined and standardized. Examples of typical standards are Non-Patent Documents 1 to 3 shown below. Hereinafter, the standards of Non-Patent Documents 1 to 3 are referred to as “DIS”, “HLA”, and “RPR-FOM” by taking the initials of the respective names.

  DIS is a standard that standardizes protocol data for simulators to exchange data by UDP / IP (User Datagram Protocol / Internet Protocol) multicast communication on a network. The HLA is a standard that standardizes functions and interfaces of middleware RTI (Run-Time Infrastructure) that connects simulators. The middleware RTI is software that is the core of a system compliant with HLA, and is software that manages data transmission / reception and synchronization processing between simulators. RPR-FOM is a standard used in HLA, and is a standard that defines a data standard for exchanging simulation data compatible with DIS between middleware RTI and simulator.

  In a distributed real-time training simulation system for defense, events such as a positional relationship and a collision between entities distributed and simulated by a plurality of simulators are shared between simulators by data flowing on the network. Therefore, when the number of connected simulators increases and the system scale increases, there is a problem that the processing load of the network increases and it becomes difficult to ensure real-time performance as a system. In the DIS and RPR-FOM, in order to solve this problem, a DR (Dead-Reckoning) algorithm that performs dynamic control so that network communication between simulators is performed only is used.

  Next, an example of processing by the DR algorithm will be described. First, the simulator includes a model function unit and a communication function unit. The model function unit generates an entity inside. In addition, the communication function unit holds an entity corresponding to the entity generated by the model function unit of the own simulator and an entity corresponding to the entity generated by the model function unit of the external simulator. When these entities use the DR algorithm, the former is called “DR internal entity” and the latter is called “DR external entity”.

  At the stage where periodic simulation of an entity is executed in the model function unit of each simulator, the model function unit periodically updates the spatial information of the entity at the current time. The spatial information includes at least position information, speed information, and acceleration information. The model function unit outputs a spatial information update value that is an update value of the spatial information to the DR internal entity of the communication function unit in the same simulator.

  The DR internal entity to which the spatial information update value is input calculates the spatial information extrapolation value of the entity at the current time by extrapolation calculation based on the stored spatial information reference value. Here, the spatial information reference value is spatial information exchanged between the communication function unit of the own simulator and the communication function unit of the external simulator.

  Also, the DR internal entity to which the spatial information update value is input evaluates the difference between the input spatial information update value and the spatial information extrapolation value calculated by itself, and when the difference exceeds the transmission control threshold The spatial information update value is stored as a new spatial information reference value, and the entity spatial information reference value is transmitted to the communication function unit of the external simulator via the network.

  The communication function unit of the transmission destination simulator that has received the spatial information reference value of the entity in the transmission source simulator stores the spatial information reference value in the DR external entity corresponding to the entity. In the model function part of the destination simulator, when the entity of the model function part needs to refer to the spatial information in the source simulator, the spatial information stored in the DR external entity in the communication function part of the own simulator Based on the reference value, the spatial information extrapolation value at the current time calculated by extrapolation calculation is used.

IEEE 1278.1-2012-Standard for Distributed Interactive Simulation-Application Protocols IEEE 1516.1-2010-Standard for Modeling and Simulation High Level Architecture-Federate Interface Specification SISO-STD-001-2015-Standard for Guidance, Relational, and Interoperability Modality for the Real-time Platform Reference Federation Object Model

  Next, problems in a simulation system using a conventional DR algorithm will be described. The simulator that causes the action is referred to as an “active simulator”, and the simulator that operates in response to the action of the active simulator is referred to as a “passive simulator”. In addition, an entity related to the action is referred to as a first entity, and an entity that is a target of an action caused by the first entity is referred to as a second entity. The first entity is generated by the model function unit of the active simulator, and the second entity is generated by the model function unit of the passive simulator. The communication function unit of the active simulator has a DR internal first entity and a DR external second entity, and the communication function unit of the passive simulator has a DR external first entity and a DR internal second entity.

  When the spatial information reference value of the DR internal first entity is transmitted from the communication function unit of the active simulator, the passive side simulator causes the spatial information extrapolated value of the DR external first entity to be An error occurs between the actual spatial information current value of the first entity in the side simulator. When such an error occurs, there arises a problem that inconsistent simulation results occur between the active simulator and the passive simulator.

  In DIS and RPR-FOM, which are conventional techniques, it is possible to change the above-described transmission control threshold when executing simulation. By reducing the transmission control threshold, the error between the extrapolated spatial information value of the DR external first entity in the passive simulator and the current spatial information value of the first entity in the active simulator can be adjusted to be small. It is. However, if the transmission control threshold value is reduced, the spatial information reference value is transmitted to the network as much as the transmission control threshold value. Therefore, the possibility that the communication delay per transmission increases as the network load increases increases.

  An increase in communication delay leads to a delay in updating the spatial information reference value of the DR external first entity, and as a result, an error in the spatial information extrapolated value of the DR external first entity increases. As a specific example, for a mobile entity with a moving speed of Mach 1, if the difference in direction of the transmission control threshold is set to 1 degree, if the update of the spatial information reference value is delayed by 1 second, the extrapolation calculation will result in a position error of about 6 m. Occurs. As described above, even when the transmission control threshold value is adjusted to be small, there is a problem that the position error of the spatial information extrapolation value cannot be adjusted small because the update of the spatial information reference value is delayed due to an increase in network load.

  Thus, in the prior art, an error occurs between the current spatial information value of the entity in the active simulator and the extrapolated spatial information value of the DR external entity in the passive simulator, and the active simulator and the passive simulator There is a problem in that there is a discrepancy in the situation that is simulated, and appropriate simulation may not be performed.

  The present invention has been made in view of the above, and obtains a distributed simulation system capable of performing an appropriate simulation by suppressing errors in spatial information extrapolation values of DR external entities in a passive simulator. With the goal.

  In order to solve the above-described problems and achieve the object, a distributed simulation system according to the present invention includes a plurality of simulators connected to a network and performs communication control between simulators using a DR algorithm. The simulator of the distributed simulation system has an external entity substitution function. The external entity substitution function exchanges information with an external entity that is simulated by an external simulator, and simulates the same entity as the external entity in place of the extrapolation calculation by the DR algorithm while requiring spatial information of the external entity. Spatial information is acquired by processing.

  ADVANTAGE OF THE INVENTION According to this invention, there exists an effect that the error of the spatial information extrapolation value of DR external entity in a passive side simulator can be suppressed, and appropriate simulation can be implemented.

Block diagram showing a configuration example of a distributed simulation system according to an embodiment Block diagram when the distributed simulation system of FIG. 1 is applied to a distributed real-time training simulation system for defense The block diagram which shows the structure which excluded the active side entity alternative function part and the active side entity control function part from the structure of FIG. The figure which shows the example of the positional relationship of each entity in the logical simulation condition currently performed in the active side simulator and passive side simulator shown in FIG. The block diagram which shows an example of the hardware constitutions which implement | achieve the function of the active side simulator and passive side simulator which concern on embodiment

  Hereinafter, a distributed simulation system according to an embodiment of the present invention will be described in detail with reference to the drawings. The present invention is not limited to the following embodiments.

Embodiment.
FIG. 1 is a block diagram showing a configuration example of a distributed simulation system according to an embodiment of the present invention. As shown in FIG. 1, the distributed simulation system 50 according to the embodiment includes an active simulator 1 and a passive simulator 2 that operates in response to an action of the active simulator 1. The active simulator 1 and the passive simulator 2 are connected via a network 3 so that they can communicate with each other. Both the active-side simulator 1 and the passive-side simulator 2 are simulators that perform communication control using a DR algorithm.

  The active simulator 1 has an active model function unit 11 and an active communication function unit 12. The active communication function unit 12 includes a DR external entity function 12a and a DR internal entity function 12b.

  The passive simulator 2 includes a passive model function unit 21, a passive communication function unit 22, and an active entity substitution function unit 23. The passive communication function unit 22 includes a DR internal entity function 22a, a DR external entity function 22b, and an active entity control function 22c.

  In the configuration of FIG. 1, the active side entity substitution function unit 23 and the active side entity control function 22c are function units newly provided in the distributed simulation system of the present embodiment. Details of these functions will be described later.

  FIG. 2 is a block diagram when the distributed simulation system of FIG. 1 is applied to a distributed real-time training simulation system for defense. Components that are the same as or equivalent to those in FIG. In FIG. 2, an anti-ship missile model function 11 </ b> A is constructed in the active model function unit 11. Although not shown in FIG. 2, the active-side model function unit 11 generates an anti-ship missile entity by the anti-ship missile model function 11A.

  In the active communication function unit 12, a DR ship entity 102 is generated by the DR external entity function 12a, and a DR anti-ship missile entity 103 is generated by the DR internal entity function 12b.

  Further, a ship model function 21 </ b> A is constructed in the passive model function unit 21. Although not shown in FIG. 2, in the passive model function unit 21, a ship entity 201 is generated by the ship model function 21 </ b> A.

  In the passive communication function unit 22, the DR ship entity 202 is generated by the DR internal entity function 22a, and the DR anti-ship missile entity 203 is generated by the DR external entity function 22b.

  Next, the operation of the distributed simulation system according to this embodiment will be described. For ease of understanding, first, the operation in the case where the active-side entity substitution function unit 23 and the active-side entity control function 22c, which are the main parts of the distributed simulation system according to the present embodiment, are not shown in FIG. And with reference to FIG. FIG. 3 is a block diagram showing a configuration in which the active-side entity substitution function unit 23 and the active-side entity control function 22c are excluded from the configuration of FIG. In FIG. 3, the same or equivalent components as those in FIG. FIG. 4 is a diagram showing an example of the positional relationship of each entity in a logical simulation situation executed in the active simulator 1 and the passive simulator 2 shown in FIG.

  First, when the simulation is started, the model function unit of each simulator creates an entity that it simulates, calculates an initial value of the spatial information of the entity, and outputs it to each communication function unit.

  Referring to the example of FIG. 3, the anti-ship missile model function 11A of the active simulator 1 generates an anti-ship missile entity 101 that is a DR internal entity, calculates a spatial information initial value of the entity, and calculates the calculated spatial information. The initial value is stored as a spatial information reference value, and the calculated spatial information initial value is transmitted to the DR internal entity function 12b. Similarly, the ship model function 21A of the passive simulator 2 generates a ship entity 201 that is a DR internal entity, calculates a spatial information initial value of the entity, and stores the calculated spatial information initial value as a spatial information reference value. At the same time, the calculated spatial information initial value is transmitted to the DR internal entity function 22a.

  The communication function unit that has received the spatial information reference value of each entity generates a DR internal entity corresponding to the entity of the model function unit, stores the initial spatial information value of the entity as the spatial information reference value, and stores the stored spatial information The reference value is transmitted to the communication function unit of the external simulator via the network 3.

  In the example of FIG. 3, the DR internal entity function 12b in the active simulator 1 generates the DR anti-ship missile entity 103 and stores the initial spatial information value of the DR anti-ship missile entity 103 as the spatial information reference value. The stored spatial information reference value is transmitted to the DR anti-ship missile entity 203 in the passive simulator 2 via the network 3. Similarly, the DR internal entity function 22a in the passive simulator 2 generates the DR ship entity 202, stores the spatial information initial value of the DR ship entity 202 as the spatial information reference value, and stores the stored spatial information reference value as The data is transmitted to the DR ship entity 102 in the active simulator 1 via the network 3.

  The communication function unit of each simulator that has received the entity spatial information reference value from the network 3 creates a DR external entity corresponding to the entity, and stores the received spatial information reference value in the DR external entity.

  In the example of FIG. 3, the DR external entity function 12 a in the active simulator 1 generates the DR ship entity 102 and stores the received spatial information reference value in the DR ship entity 102. Similarly, the DR external entity function 22 b in the passive simulator 2 generates the DR anti-ship missile entity 203 and stores the received spatial information reference value in the DR anti-ship missile entity 203. Note that the spatial information reference value exchanged between simulators is defined by a protocol called “Entity State PDU (Protocol Data Unit)” in DIS, and in RPR-FOM, “Update Attribute Values Service” in HLA, It is defined by the data “Spatial Attribute” of “Base Entity Object Class” transmitted / received to / from the “Reflect Attribute Values service”.

  Next, at the stage where periodic simulation of the entity is executed in the model function of each simulator, the model function unit periodically updates the spatial information of the entity at the current time. The updated spatial information update value is output to the DR internal entity in the communication function unit in the same simulator.

  Referring to the example of FIG. 3, the anti-ship missile model function 11A of the active simulator 1 periodically updates the spatial information of the anti-ship missile entity 101 at the current time, and the updated space information update value is used as the DR anti-ship. Output to the missile entity 103. Similarly, the ship model function 21A of the passive simulator 2 periodically updates the space information of the ship entity 201 at the current time, and outputs the updated space information update value to the DR ship entity 202.

  The DR internal entity that has received the updated spatial information value of the entity calculates the extrapolated value of the entity at the current time by extrapolation based on the stored spatial information reference value. The DR internal entity to which the spatial information update value is input evaluates the difference between the input spatial information update value and the spatial information extrapolated value calculated by itself, and when the difference exceeds the transmission control threshold, The spatial information update value is stored as a new spatial information reference value, and the entity spatial information reference value is transmitted to the communication function unit of the external simulator via the network 3. Note that the default value of the transmission control threshold value in DIS and RPR-FOM is defined as a position difference of 1 m and a direction difference of 3 degrees.

  In the example of FIG. 3, in the active simulator 1, the DR anti-ship missile entity 103 of the active communication function unit 12 receives the received spatial information update value of the anti-ship missile entity 101 and the stored DR anti-ship. Based on the spatial information reference value of the missile entity 103, the spatial information extrapolated value of the DR anti-ship missile entity 103 at the current time is calculated by extrapolation calculation. The DR anti-ship missile entity 103 evaluates the difference between the input spatial information update value and the spatial information extrapolated value calculated by itself, and when the difference exceeds the transmission control threshold, the DR anti-ship missile entity 103 And the spatial information reference value of the DR anti-ship missile entity 103 is transmitted to the DR anti-ship missile entity 203 of the DR external entity function 22b via the network 3. Similarly, in the passive simulator 2, the DR ship entity 202 of the passive communication function unit 22 uses the received spatial information update value of the ship entity 201 and the stored spatial information reference value of the DR ship entity 202. In addition, a spatial information extrapolated value of the DR ship entity 202 at the current time is calculated by extrapolation calculation. The DR ship entity 202 evaluates the difference between the input spatial information update value and the spatial information extrapolation value calculated by itself, and when the difference exceeds the transmission control threshold, the DR information is changed to a new spatial information update value. The information is stored as an information reference value, and the spatial information reference value of the DR ship entity 202 is transmitted to the DR ship entity 102 of the DR external entity function 12 a via the network 3.

  The communication function unit of the transmission destination simulator that has received the spatial information reference value of the entity in the transmission source simulator stores the spatial information reference value in the DR external entity corresponding to the entity.

  Referring to the example of FIG. 3, the DR external entity function 12 a of the active simulator 1 stores the spatial information reference value received from the passive simulator 2 in the DR ship entity 102. Similarly, the DR external entity function 22 b of the passive simulator 2 stores the spatial information reference value received from the active simulator 1 in the DR anti-ship missile entity 203.

  In the model function unit of the transmission destination simulator, when the entity of the model function unit needs to refer to the spatial information in the transmission source simulator, the spatial information stored in the DR external entity in the communication function unit of the own simulator Based on the reference value, the spatial information extrapolation value at the current time calculated by extrapolation calculation is used.

  In the example of FIG. 3, when it is necessary for the anti-ship missile entity 101 in the active simulator 1 to refer to the spatial information in the passive simulator 2, the DR ship entity 102 in the active simulator 1 stores the information. The spatial information extrapolation value at the current time calculated based on the spatial information reference value is used. Similarly, when the ship entity 201 in the passive simulator 2 needs to refer to the spatial information in the active simulator 1, the spatial information reference value stored in the DR anti-ship missile entity 203 in the passive simulator 2. The spatial information extrapolation value at the current time calculated based on is used. In the extrapolation calculation based on the spatial information reference value, a motion calculation such as a constant speed linear motion or a constant speed rotation motion is appropriately selected and used depending on the motion state of each entity.

  Next, a battle simulation such as attack and defense and a damage simulation are performed between the anti-ship missile entity 101 simulated by the active simulator 1 and the ship entity 201 simulated by the passive simulator 2. The operation in this case will be described. The attack is an example of “active action”, and the defense is an example of “passive action”. Engagement is an example of “behavioral action” that collectively refers to “active action” and “passive action”.

  The anti-ship missile entity 101 in the active simulator 1 that attacks the ship entity 201 simulates an attack by an attack means such as a shell or missile based on the spatial information extrapolated value of the DR ship entity 102.

  The anti-ship missile entity 101 transmits the result of the attack to the passive simulator 2 via the network 3, the launch event of the anti-ship missile entity 101 and the meeting event of the anti-ship missile entity 101 with the DR ship entity 102.

  In the DIS, events communicated between simulators are defined by a protocol called “Fire PDU” corresponding to the launch of the attack entity and “Detonation PDU” corresponding to the meeting of the attack entity with the attack target. In addition, in RPR-FOM, “Weapon Fire Interaction Class” corresponding to the launch of the attack entity as data transmitted / received by the “Send Interaction Service” and “Receive Interaction Service” in the HLA, and the attack entity of the attack entity Is defined by data called “Mution Detonation Interaction Class”.

  The ship entity 201 of the passive simulator 2 receives the launch event and the meeting event transmitted from the active simulator 1. The ship entity 201 simulates the presence or absence of damage to the ship entity 201 based on the meeting event.

  When the passive simulator 2 receives the launch event before the meeting event and simulates the DR anti-ship missile entity 203, the extrapolated spatial information of the DR anti-ship missile entity 203 Based on the above, it is possible to simulate an attack by a defense means such as an anti-missile weapon against the DR anti-ship missile entity 203. In this case, the firing event and the meeting event in the entity of the defense means are transmitted from the passive simulator 2 to the active simulator 1 via the network 3. The active simulator 1 that has received the meeting event simulates whether the protection of the passive simulator 2 has succeeded or failed.

  In the above, one attack and defense against the attack have been described, but during the simulation of the engagement, the launch event and the meeting event are an attack between the active simulator 1 and the passive simulator 2, Furthermore, it goes without saying that the attacks are repeated for complicated defenses.

  Next, problems of the prior art will be described. The problems of the prior art have been schematically described above, but will be described in detail here with reference to FIG.

  FIG. 4 visually shows a simulated situation of engagement in the active simulator 1 and a simulated situation of engagement in the active simulator 1. In the diagram on the left side of FIG. 4, the course of the anti-ship missile entity, which is an attack entity, toward the ship entity that is the attack target is simulated. As described above, the spatial information reference value of the anti-ship missile entity is transmitted from the active simulator 1 to the passive simulator 2. Here, it is assumed that a communication delay occurs in the network. At this time, in the passive simulator 2, an error occurs between the spatial information extrapolated value of the anti-ship missile entity and the current spatial information value of the anti-ship missile entity in the actual active simulator. This situation is shown in the diagram on the right side of FIG. More specifically, in the passive-side simulator 2, the anti-ship missile entity does not go to the defense-side ship entity because of the error of the spatial information extrapolated value. Thus, when a communication delay occurs in the network, there is a discrepancy in the situation that each of the active simulator 1 and the passive simulator 2 is simulating. In this case, the trainee who is performing the ship defense training using the passive simulator 2 determines that there is no anti-ship missile coming toward the ship entity and does not take a defense action. However, in reality, a meeting event indicating damage to a ship is transmitted from an active simulator which is an attacking simulator. As a result, there arises a problem that inconsistent simulation results occur when viewed from the training subject.

  In order to solve the above problems, in the distributed simulation system according to the present embodiment, as shown in FIGS. 1 and 2, the passive-side simulator 2 includes an active-side model that is a model function unit of the active-side simulator 1. The active-side entity replacement function unit 23 that replaces the entity simulated by the function unit 11 inside the passive-side simulator 2 and the passive-side communication function unit 22 having the communication function of the passive-side simulator 2 are executed. An active side entity control function 22c to be controlled is constructed. Other configurations and functions are the same as or equivalent to the simulator of the conventional distributed simulation system using the DR algorithm.

  The active entity substitution function unit 23 is a function that simulates the motion state of the same entity as the active entity that the active model function unit 11 of the active simulator 1 simulates. According to the active-side entity substitution function unit 23, the passive-side simulator 2 exchanges information with the entity simulated by the active-side simulator 1, and performs extrapolation by the DR algorithm while requiring spatial information of the entity. The spatial information of the entity simulated by the active simulator 1 is obtained by simulating the same entity as the entity simulated by the active simulator 1 inside the passive simulator 2 without performing calculation or instead of extrapolation calculation. Can be acquired.

  Here, consider a case where the active entity simulated by the active-side model function unit 11 of the active-side simulator 1 is a missile. A typical missile flies along a route that is directed from a launch point or launch platform toward a destination or target, but for each type of missile, includes a speed and altitude that depends on the distance from the launch or target. Let's have a profile. Therefore, the active-side entity substitution function unit 23 can simulate a motion state based on the same flight profile as the attacking entity simulated by the active-side model function unit 11 of the active-side simulator 1.

  The active-side entity substitution function unit 23 pauses its operation until the execution start and execution end are controlled by the active-side entity control function 22c.

  When the active-side entity control function 22c receives an attacking entity launch event from the active-side simulator 1, the active-side entity substitution function unit 23 starts executing. The execution of the active side entity substitution function unit 23 ends when the active side entity control function 22c receives the meeting event from the active side simulator 1.

  When the active-side entity substitution function unit 23 starts execution, the active-side entity substitution function unit 23 starts simulating the motion state of the active entity based on information included in the launch event received by the passive-side simulator 2 that has triggered execution. The launch event includes at least the coordinates of the launch point, the type of active entity fired, and the velocity vector at the time of launch. The launch event is information defined in “Fire PDU” of DIS and “Weapon Fire Interaction Class” of RPR-FOM. The active-side entity substitution function unit 23 that has started execution calculates the current value of the spatial information of the active entity in place of the DR external entity function 22b in the passive-side communication function unit 22 of the passive-side simulator 2 until the end. .

  As described above, the active-side entity substitution function unit 23 of the passive-side simulator 2 has a motion state of the same active entity as that of the active-side simulator 1 during the period from the reception of the launch event of the active entity to the reception of the meeting event. Simulate. At this time, since the active-side entity substitution function unit 23 calculates the current value of the spatial information of the active entity instead of the DR external entity function 22b, the problem exposed in the prior art, that is, the DR external entity function 22b calculates. The problem due to the error between the spatial information extrapolated value and the current spatial information value can be solved. As a result, the distributed simulation system according to the present embodiment can perform an appropriate simulation.

  In the present embodiment, the simulation performed between one active simulator 1 and one passive simulator 2 has been described, but the number of active simulators 1 may be plural, There may be a plurality of passive simulators 2. In the present embodiment, the active simulator 1 and the passive simulator 2 are fixedly handled. However, in various simulation aspects, the active simulator 1 becomes a passive simulator, and the passive simulator 2 becomes an active side. It can be a simulator. In this sense, the simulator that causes the action may be referred to as an “external simulator”, and the simulator that corresponds to the action caused by the external simulator may be simply referred to as a “simulator”. Further, an entity generated by an external simulator that causes an action may be referred to as an “external entity”, and an entity generated by a simulator on the side corresponding to the action may be simply referred to as an “entity”. Further, the active-side entity substitution function unit 23 constructed in the passive-side simulator 2 is referred to as “external entity substitution function unit” or “external entity substitution function”, and is constructed in the passive-side communication function unit 22 of the passive-side simulator 2. The active side entity control function 22c may be referred to as an “external entity control function”.

  As described above, according to the distributed simulation system according to the present embodiment, an external entity substitution function is constructed in the simulator constituting the distributed simulation system, and the external entity substitution function is an external entity that is simulated by the external simulator. While exchanging information with the external entity and needing spatial information of the external entity, by performing extrapolation calculation by using the same entity as the external entity, or without performing extrapolation calculation by the Dead-Recking algorithm Since the spatial information is calculated, an error between the current spatial information value of the external entity simulated by the external simulator and the spatial information extrapolated value calculated by itself can be suppressed. Thereby, generation | occurrence | production of the discrepancy of the condition which each of a simulator and an external simulator simulates can be suppressed, and a suitable simulation environment can be provided with respect to a training subject.

  Finally, a hardware configuration for realizing the functions of the active simulator 1 and the passive simulator 2 in the distributed simulation system according to the present embodiment will be described with reference to the drawing of FIG. FIG. 5 is a block diagram illustrating an example of a hardware configuration that realizes the functions of the active simulator 1 and the passive simulator 2.

  When the functions of the active simulator 1 and the passive simulator 2 are realized, the active simulator 1 and the passive simulator 2 are CPUs (Central Processing Units) that perform various processes as shown in FIG. 82 and an input / output unit 83 which is an input / output interface with the network 3. The active simulator 1 and the passive simulator 2 include a RAM (Random Access Memory) 84 including a program storage area and a data storage area, and a ROM (Read Only Memory) 85 which is a nonvolatile memory. The bus 86 connects the CPU 82, the input / output unit 83, the RAM 84, and the ROM 85. The CPU 82 may be a calculation unit such as a microprocessor, a microcomputer, a processor, or a DSP (Digital Signal Processor).

  The ROM 85 stores programs for various processes. In addition to the ROM 85, the program may be recorded on a recording medium that can be read by a drive. The recording medium may be a portable recording medium such as a CD-ROM, a DVD disk, a USB memory, or a flash memory that is a semiconductor memory.

  The program is loaded into the RAM 84. The CPU 82 expands the program in the program storage area in the RAM 84 and executes various processes. The data storage area in the RAM 84 is a work area for executing various processes. The above-described functions of the active model function unit 11, the active communication function unit 12, the passive model function unit 21, the passive communication function unit 22, and the active entity substitution function unit 23 are realized using the CPU 82. The

  Note that the configurations shown in the above embodiments are examples of the contents of the present invention, and can be combined with other known techniques, and can be combined without departing from the gist of the present invention. It is also possible to omit or change a part of.

  DESCRIPTION OF SYMBOLS 1 Active side simulator, 2 Passive side simulator, 3 Network, 11 Active side model function part, 11A Anti-ship missile model function, 12 Active side communication function part, 12a, 22b DR external entity function, 12b, 22a DR internal entity function, 21 Passive model function unit, 21A Ship model function, 22 Passive communication function unit, 22c Active entity control function, 23 Active entity substitution function unit, 50 Distributed simulation system, 82 CPU, 83 I / O unit, 84 RAM, 85 ROM, 86 bus, 101 anti-ship missile entity, 102, 202 DR ship entity, 103, 203 DR anti-missile entity, 201 ship entity.

Claims (7)

A distributed simulation system having a plurality of simulators connected to a network and performing communication control between simulators using a dead-reckoning algorithm,
The simulator exchanges information with an external entity that is simulated by an external simulator, and while the spatial information of the external entity is required, the simulator replaces the extrapolation calculation by the dead-reckoning algorithm and is the same as the external entity. A distributed simulation system comprising an external entity substitution function for acquiring spatial information by entity simulation processing. The simulator comprises an external entity control function that detects the need for spatial information of an external entity to be simulated by the external simulator by starting an active action from the external simulator,
The distributed simulation system according to claim 1, wherein the external entity control function starts execution of the external entity substitution function upon detection of the start of the active action.   3. The distributed simulation system according to claim 2, wherein the start of the active action is detected by receiving a “Fire PDU” of DIS.   3. The distributed simulation system according to claim 2, wherein the start of the active action is detected by receiving data of an RPR-FOM “Weapon Fire Interaction Class” in an HLA “Receive Interaction Service”.   3. The distributed simulation system according to claim 2, wherein the detection of the start of the active action is detected by receiving data of an “PRD FOM“ Mution Done Interaction Class ”in an HLA“ Receive Interaction Service ”. The external entity control function detects that the spatial information of the external entity is no longer needed by terminating the active action, and terminates the execution of the external entity substitution function by terminating or extinguishing the active action. The distributed simulation system according to any one of claims 2 to 5, wherein:   The distributed simulation system according to claim 6, wherein the end of the active action is detected by reception of a “Deonation PDU” of DIS.

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