KR102685544B1 - Apparatus and method for simulation for test - Google Patents

Abstract

An apparatus and method for test simulation are disclosed. According to the present disclosure, a test simulation device generates a simulation model that virtualizes at least some of a plurality of test resources related to a test on a target object including a plurality of parts, and performs a test on the target object through the simulation model. .

Description

Test simulation apparatus and method {APPARATUS AND METHOD FOR SIMULATION FOR TEST}

This disclosure relates to technology for virtual-reality mixed simulation, and specifically relates to technology that can comprehensively verify flight tests by considering various factors in an environment similar to an actual flight test situation.

In order to confirm the performance of the object under development, after completing test evaluation on a part-by-part basis, comprehensive testing must be conducted on the complete prototype in an actual outdoor environment.

However, due to the nature of tests on objects with multiple parts combined, numerous factors interact in a complex and simultaneous manner, there is a risk of casualties in safety-threatening situations, and additional costs and time for re-testing are incurred in case of test failure. It consumes a lot.

Accordingly, there is a need for a method to establish an optimal mission plan for testing complex objects and to simulate tests to effectively and flexibly respond to complex and fluid test situations.

The present disclosure is proposed to solve the above-described problems, and its purpose is to provide a method for simulating a test by virtualizing at least some of the test resources for testing a target object including a plurality of parts and a device using the same. do.

More specifically, the present disclosure creates a simulation model consisting of a target model corresponding to the target object, an environment model corresponding to the environment in which the flight test is performed, and a tracking and measurement equipment model that performs tracking and measurement for the target object, The purpose is to provide a method of performing a test on a target object and a device using the same.

The technical problems to be achieved by the present disclosure are not limited to the technical problems described above, and other technical problems can be inferred from the following embodiments.

A test simulation method according to an embodiment of the disclosure includes generating a simulation model that virtualizes at least a portion of a plurality of test resources related to a test on a target object including a plurality of parts; and performing a test on the target object through the simulation model, wherein the simulation model includes: a target model corresponding to the target object that is the subject of the test; an environmental model corresponding to the environment in which the test is performed; and a tracking and measurement equipment model that performs tracking and measurement of the target object during the test.

According to one embodiment, the target model receives data about the shape, expected trajectory, and scheduled event of the target object, and outputs data about the location of the target object, posture at a specific location, and occurring events. It can be characterized.

According to one embodiment, the environment model receives data about the space in which the target object moves, the space where test resources that perform tracking and measurement of the target object are placed, and weather conditions during the test, It may be characterized by outputting the amount of change in at least some of the internal parameters of each of the target model and the tracking and measurement equipment model.

According to one embodiment, the tracking and measurement equipment model may be characterized as including one or more tracking test resources and one or more measurement test resources classified according to physical characteristics to be tracked or measured.

According to one embodiment, the simulation model further includes a virtual-reality interface module that converts data transmitted between at least a portion of virtualized test resources and at least a portion of non-virtualized test resources among the plurality of test resources, , the tracking and measurement equipment model receives, in the case of virtualized test resources among the tracking test resources and the measurement test resources, the output of the target model and the output of the environment model, and the tracking test resource and the measurement test resource. In the case of test resources that are not virtualized, the output of the target model converted through the virtual-reality interface module may be received as input.

According to one embodiment, the test simulation method includes generating fusion data by processing raw data generated as a result of the test for each type of test; And it may further include visualizing the fusion data and providing it to the user.

According to one embodiment, the step of generating the fusion data includes generating the fusion data by determining a fusion weight of the raw data based on a rule-based or learning-based data fusion algorithm for each type of test. can do.

According to one embodiment, the fusion data includes at least one of a measurement success probability for the target object, a measurement accuracy for the target object, a safety probability of the test, and an expected cost for the test. can do.

A test simulation device according to an embodiment disclosed includes a transceiver, a memory for storing instructions, and a processor, and the processor is connected to the transceiver and the memory to perform a test on a target object including a plurality of components. Create a simulation model that virtualizes at least some of the plurality of related test resources, and perform a flight test on the target object through the simulation model, wherein the simulation model corresponds to the target object that is the subject of the test. target model; an environmental model corresponding to the environment in which the test is performed; and a tracking and measurement equipment model that performs tracking and measurement of the target object during the test.

A non-transitory computer-readable storage medium according to one disclosed embodiment includes a medium configured to store computer-readable instructions, wherein when the computer-readable instructions are executed by a processor, the processor: generating a simulation model that virtualizes at least a portion of a plurality of test resources related to a test on a target object including; and performing a test on the target object through the simulation model, wherein the simulation model includes: a target model corresponding to the target object that is the subject of the test; an environmental model corresponding to the environment in which the test is performed; and a tracking and measurement equipment model that performs tracking and measurement of the target object during the test.

Specific details of other embodiments are included in the detailed description and drawings.

According to the present disclosure, test resources represented by the target object, test environment, tracking and measurement equipment, etc. are virtualized for each test resource to implement an integrated simulation environment that mixes virtuality and reality, thereby creating a target object containing a plurality of parts. In addition to reducing the cost and time required for testing, it is possible to fundamentally block safety threats and unexpected situations that may occur in the event of test failure.

The effect of the invention is not limited to the effects mentioned above, and other effects not mentioned can be clearly understood by those skilled in the art from the description of the claims.

1 is a schematic configuration diagram for explaining a test simulation system according to an embodiment.
Figure 2 is a flowchart for explaining a test simulation method according to an embodiment.
3 and 4 are block diagrams for explaining a simulation model according to an embodiment, respectively.
Figure 5 is an example of a test simulation according to one embodiment.
Figure 6 is a conceptual diagram showing input and output in a test simulation according to an embodiment.
Figure 7 is a flowchart for explaining a test simulation method according to an additional embodiment.
Figure 8 is a block diagram for explaining a simulation model according to an additional embodiment.
Figure 9 is an exemplary diagram showing in more detail the operation flow of a simulation model in a test simulation according to an embodiment.
10 and 11 are exemplary diagrams showing in more detail the flow of information between virtual reality and reality in a test simulation according to an embodiment, respectively.
Figure 12 is a block diagram for explaining a test simulation device according to an embodiment.

The terms used in the embodiments are general terms that are currently widely used as much as possible while considering the functions in the present disclosure, but this may vary depending on the intention or precedent of a person working in the art, the emergence of new technology, etc. In addition, in certain cases, there are terms arbitrarily selected by the applicant, and in this case, the meaning will be described in detail in the relevant description. Therefore, the terms used in this disclosure should be defined based on the meaning of the term and the overall content of this disclosure, rather than simply the name of the term.

When it is said that a part "includes" a certain element throughout the specification, this means that, unless specifically stated to the contrary, it does not exclude other elements but may further include other elements. In addition, terms such as "...unit" and "...module" used in the specification refer to a unit that processes at least one function or operation, which is implemented as hardware or software, or as a combination of hardware and software. It may be possible, and unlike the example shown, specific operations may not be clearly distinguished.

The expression “at least one of a, b, and c” used throughout the specification means ‘a alone’, ‘b alone’, ‘c alone’, ‘a and b’, ‘a and c’, ‘b and c ', or 'all of a, b, and c'.

The “terminal” mentioned below may be implemented as a computer or portable terminal that can connect to a server or other terminal through a network. Here, the computer includes, for example, a laptop, desktop, laptop, etc. equipped with a web browser, and the portable terminal is, for example, a wireless communication device that guarantees portability and mobility. , all types of communication-based terminals such as IMT (International Mobile Telecommunication), CDMA (Code Division Multiple Access), W-CDMA (W-Code Division Multiple Access), and LTE (Long Term Evolution), smartphones, tablet PCs, etc. It may include a handheld-based wireless communication device.

In the following description, “transmission,” “communication,” “transmission,” “reception,” and other terms with similar meanings refer not only to the direct transmission of signals or information from one component to another component. It also includes those transmitted through other components.

In particular, “transmitting” or “transmitting” a signal or information as a component indicates the final destination of the signal or information and does not mean the direct destination. This is the same for “receiving” signals or information. Also, in this specification, “related” to two or more data or information means that if one data (or information) is acquired, at least part of other data (or information) can be obtained based on it.

Additionally, terms such as first and second may be used to describe various components, but the components should not be limited by the terms. The above terms may be used for the purpose of distinguishing one component from another component.

For example, a first component may be referred to as a second component, and similarly, the second component may also be referred to as a first component without departing from the scope of the present invention.

In describing the embodiments, description of technical content that is well known in the technical field to which the present invention belongs and that is not directly related to the present invention will be omitted. This is to convey the gist of the present invention more clearly without obscuring it by omitting unnecessary explanation.

For the same reason, some components are exaggerated, omitted, or schematically shown in the accompanying drawings. Additionally, the size of each component does not entirely reflect its actual size. In each drawing, identical or corresponding components are assigned the same reference numbers.

The advantages and features of the present invention and methods for achieving them will become clear by referring to the embodiments described in detail below along with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below and may be implemented in various different forms. The present embodiments are merely provided to ensure that the disclosure of the present invention is complete and to provide common knowledge in the technical field to which the present invention pertains. It is provided to fully inform those who have the scope of the invention, and the present invention is only defined by the scope of the claims. Like reference numerals refer to like elements throughout the specification.

It will be understood that each block of the processing flow diagrams and combinations of the flow diagram diagrams may be performed by computer program instructions. These computer program instructions can be mounted on a processor of a general-purpose computer, special-purpose computer, or other programmable data processing equipment, so that the instructions performed through the processor of the computer or other programmable data processing equipment are described in the flow chart block(s). It creates the means to perform functions. These computer program instructions may also be stored in computer-usable or computer-readable memory that can be directed to a computer or other programmable data processing equipment to implement a function in a particular manner, so that the computer-usable or computer-readable memory The instructions stored in may also produce manufactured items containing instruction means that perform the functions described in the flow diagram block(s). Computer program instructions can also be mounted on a computer or other programmable data processing equipment, so that a series of operational steps are performed on the computer or other programmable data processing equipment to create a process that is executed by the computer, thereby generating a process that is executed by the computer or other programmable data processing equipment. Instructions that perform processing equipment may also provide steps for executing the functions described in the flow diagram block(s).

Additionally, each block may represent a module, segment, or portion of code that includes one or more executable instructions for executing specified logical function(s). Additionally, it should be noted that in some alternative execution examples it is possible for the functions mentioned in the blocks to occur out of order. For example, it is possible for two blocks shown in succession to be performed substantially at the same time, or it is possible for the blocks to be performed in reverse order depending on the corresponding function.

Below, with reference to the attached drawings, embodiments of the present disclosure will be described in detail so that those skilled in the art can easily practice them. However, the present disclosure may be implemented in many different forms and is not limited to the embodiments described herein.

Hereinafter, embodiments of the present disclosure will be described in detail with reference to the drawings.

1 is a schematic configuration diagram for explaining a test simulation system according to an embodiment. For convenience of explanation, in the present disclosure, it is assumed that the test simulation system is a system for simulation of a guided weapon flight test, but this is an example and the field of simulation may be set in various ways depending on the embodiment.

Specifically, the field of simulation of the present disclosure includes measuring or measuring dynamic or static changes of a target object in real or virtual three-dimensional space (e.g., air, ground, underground, water or underwater), At this time, dynamic change includes flight, movement, trajectory change, angle change, speed change, etc. over time in three-dimensional space, and static change refers to the physical properties of the target object over time in three-dimensional space. Includes change, size change, material change, hardness change, etc.

As shown, the test simulation system 100 according to one embodiment may be composed of a plurality of distributed terminals and networks. At this time, the distributed terminals may have a peer-to-peer (P2P) relationship or a server-client relationship. However, this is an example, and depending on the embodiment, the test simulation system 100 may be comprised of a single terminal, and a series of test simulations may be performed through terminal internal communication.

Referring to Figure 1, the test resources of the launch area where the guided weapon is launched in the flight test (launch area assets), the test resources of the impact area where the guided weapon reaches (impact area assets), and the simulation of the guided weapon itself. An information fusion/visualization server is shown to fuse guided weapon simulator and measurement information and provide visualized information to the user. Although each test resource is represented as a server or simulator in FIG. 1, some of these may be replaced with actual test resources (e.g., actual radar, actual guided weapon, etc.) depending on the embodiment.

In the present disclosure, the test simulation device 110, which performs a series of operations to be described later with reference to the drawings, may be included in each terminal, but may also be each terminal itself, and depending on the embodiment, is shown in FIG. 1 It may be a device that exists separately from the terminal and communicates with other terminals through a network.

Meanwhile, according to one embodiment, the wired or wireless networks used for communication between each terminal or asset in FIG. 1 include a local area network (LAN), a wide area network (WAN), and a value-added communication network. (Value Added Network; VAN), mobile communication network (mobile radio communication network), satellite communication network, and their mutual combination, and is a comprehensive meaning that allows each network constituent shown in Figure 1 to communicate smoothly with each other It is a data communication network and may include wired Internet, wireless Internet, and mobile wireless communication network. Wireless communications include, for example, wireless LAN (Wi-Fi), Bluetooth, Bluetooth low energy, ZigBee, WFD (Wi-Fi Direct), UWB (ultra wideband), and infrared communication (IrDA, infrared Data Association). ), NFC (Near Field Communication), etc., but are not limited thereto.

In relation to the above, it will be described in more detail through the drawings below.

FIG. 2 is a flowchart for explaining a test simulation method according to an embodiment, and FIGS. 3 and 4 are block diagrams for explaining a simulation model created to perform a test simulation according to an embodiment, respectively.

The method shown in FIG. 2 can be performed, for example, by the test simulation device 110 described above.

In step 210, the test simulation device 110 generates a simulation model that virtualizes at least some of a plurality of test resources related to a test on a target object including a plurality of parts. At this time, the simulation model 300 generated by the test simulation device 110 includes (1) a target model 310 corresponding to the object subject to the test, (2) an environment model corresponding to the environment in which the test is performed ( 320) and (3) includes a tracking and measurement equipment model 330 that performs tracking and measurement of the target object during testing.

In the present disclosure, the 'target object' refers to an aircraft, vehicle, ship, or submarine whose starting point or destination is set in advance, a guided weapon whose launch or landing point is set in advance, or a structure whose current or later position is set in advance (e.g. For example, it may include commercial buildings, residential buildings, convenience facilities, installation art, etc.).

In addition, in the present disclosure, 'test' may include a flight test of the target object in the air, a movement test on the ground or underground, a movement test on the water or in the water, a static change test of the target object over time, etc. there is.

Specifically, the target model 310 in the simulation model 300 receives data about the shape, expected trajectory, and scheduled event of the target object, and receives data about the location of the target object, posture at a specific location, and occurring events. Can be printed.

For example, the target model 310 can receive inputs such as the three-dimensional CAD shape of the guided weapon, the time when an event such as booster separation occurs, the size of the booster, the direction of separation of the booster, the combustion time of the rocket engine, and the combustion temperature. . In addition, the target model 310 can output the position, attitude, and radar reflection area according to changes in attitude of the guided weapon at regular time intervals according to the simulation performance, data on the booster separation event, and data on the guided weapon hit event, etc. .

Additionally, specifically, the environment model 320 in the simulation model 300 inputs data regarding the space in which the target object moves, the space where test resources that perform tracking and measurement of the target object are placed, and weather conditions at the time of testing. and output the amount of change in at least some of the internal parameters of each target model and tracking and measurement equipment model.

For example, the environment model 320 includes the visibility of optical equipment depending on weather conditions, the detection performance of radar depending on weather conditions, the flight trajectory of guided weapons depending on weather conditions, and the accuracy of guided weapons depending on weather conditions. Can be printed.

Also specifically, the tracking and measurement equipment model 330 in the simulation model 300 may include one or more tracking test resources and one or more measurement test resources classified according to physical characteristics to be tracked or measured.

For example, the tracking and measurement equipment model 330 may include tracking radar, optical tracking equipment, etc. as tracking test resources, and may include a telemetry receiver installed on the ground and a telemetry receiver attached to an unmanned aerial vehicle as a measurement test resource. It can be included as .

Meanwhile, for example, the tracking and measurement equipment model 330 may receive inputs such as the size of the signal output from the target model 310, the physical characteristics of the guided weapon, and the environmental conditions output from the environment model 320. In addition, the tracking and measurement equipment model 330 provides location information of the guided weapon, telemetry parameter values (e.g., parameter values for determining tracking modes such as manual tracking mode or automatic tracking mode, and setting sensitivity of tracking). Tracking bandwidth values, etc.), video information of guided weapons, video information about the flight test environment, etc. can be output.

According to one embodiment, the simulation model 400 generated by the guided weapon flight test simulation device 110 includes a plurality of test resources in addition to the target model 310, the environment model 320, and the tracking and measurement equipment model 330. It may further include a virtual-reality interface module 410 that converts data transmitted between at least a portion of the virtualized test resources and at least a portion of the non-virtualized test resources.

Specifically, the tracking and measurement equipment model 330 in the simulation model 400 is, in the case of virtualized test resources among tracking test resources and measurement test resources, a target model ( The output of 310) and the output of the environment model 320 can be input.

In addition, specifically, the tracking and measurement equipment model 330 in the simulation model 400, in the case of non-virtualized test resources among the tracking test resources and measurement test resources, is used as a target model (310) through the virtual-reality interface module 410. ) can be converted to input.

In step 220, the test simulation device 110 performs a flight test on the target object through the generated simulation model. In this regard, a test simulation performed through a simulation model will be described later with reference to FIGS. 5 and 6 below.

FIG. 5 is an example of a test simulation according to an embodiment, and FIG. 6 is a conceptual diagram showing input and output in a test simulation according to an embodiment.

First, Figure 5 illustrates the process of examining telemetry effectiveness using aerial test assets in flight testing of long-range guided weapons. At this time, as shown, it is assumed that the test resources in the launch area and landing area are real agents with physical entities, and the telemetry receivers, satellites, measurement ships, guided weapons, etc. mounted on the unmanned aerial vehicle are virtual agents. do.

During simulation, the flight trajectory of the guided weapon, telemetry coverage according to the location of the unmanned aerial vehicle, and telemetry receiver are determined according to the communication between the real agent (ground station) in the launch site area and the virtual agent (telemetry receiver mounted on the unmanned aerial vehicle). It is possible to predict the size of the received signal and verify the requirements for the telemetry receiver to be mounted on the unmanned aerial vehicle.

In addition, in order to simulate long-distance guided weapon flight tests, test resources such as measurement ships that can operate in the ocean and satellites for communication relay are likely to be needed, so detailed specifications for each resource are required prior to the introduction of test resources such as measurement ships and satellites. By modeling and including it in the simulation, the effectiveness and interoperability of each test resource can be practically checked.

Meanwhile, Figure 6 illustrates the input given to the simulation model and the output generated by the simulation model in a guided weapon flight test simulation.

Specifically, inputs given to the target model within the simulation model may include the shape, speed, trajectory, and event information of the test object (guided weapon), and inputs given to the environment model within the simulation model include test environment, constraints, Test procedures, measurement items, standard information, etc. may be included, and inputs given to the tracking and measurement equipment model within the simulation model may include test area, location of measurement equipment, and variable information.

Meanwhile, the simulation model that received the above-described input includes the measurement success probability for guided weapons, measurement accuracy for guided weapons, safety probability for flight tests, and time required for flight tests through a preset algorithm under the control of the test simulation device 110. Outputs such as expected costs can be generated.

Additionally, according to one embodiment, the test simulation device 110 may update at least some of the inputs given to the simulation model based on at least some of the outputs generated by the simulation model. For example, the test simulation device 110 may adjust the location information and variable information of the measurement equipment based on the probability of successful measurement for a guided weapon among outputs from the simulation model.

FIG. 7 is a flowchart for explaining a test simulation method according to an additional embodiment, and FIG. 8 is a block diagram for explaining a simulation model created to perform a test simulation according to an additional embodiment.

The method shown in FIG. 7 may be performed, for example, by the test simulation device 110 described above.

In step 710, the test simulation device 110 generates a simulation model that virtualizes at least some of a plurality of test resources related to a test on a target object including a plurality of parts. At this time, the simulation model 800 generated by the test simulation device 110 includes a data fusion module ( 810) and a visualization equipment model 820. Specifically, the data fusion module 810 may be related to the performance of step 730, which will be described later, and the visualization equipment model 820 may be related to the performance of step 740, which will be described later.

In step 720, the test simulation device 110 performs a flight test on the target object through the generated simulation model.

In step 730, the test simulation device 110 generates fusion data by processing raw data generated as a result of a test on a target object by test type.

According to one embodiment, the test simulation device 110 may generate fusion data through the data fusion module 810 within the simulation model 800. However, this is an example, and according to FIG. 8, the test simulation device 110 is shown to perform step 730 through the data fusion module 810 in the simulation model 800. However, this is an example, and step 730 is a simulation In addition to the model, it may also be performed through communication between a separate server and the test simulation device 110.

According to one embodiment, the test simulation device 110 may generate fusion data by determining the fusion weight of the raw data based on a rule-based or learning-based data fusion algorithm for each type of test.

In the present disclosure, the rule-based data fusion algorithm refers to an algorithm that determines the fusion weight of raw data according to preset rules without prior learning by data, and the learning-based data fusion algorithm is based on deep learning. Refers to an algorithm that determines the fusion weight of raw data based on hyper-parameters pre-adjusted by the user and internal parameters learned with pre-prepared data.

According to one embodiment, the fusion data generated by the test simulation device 110 may include at least one of the measurement success probability for the target object, the measurement accuracy for the target object, the safety probability of the test, and the expected cost for the test. You can.

In step 740, the test simulation device 110 visualizes the fusion data and provides it to the user.

According to one embodiment, the test simulation device 110 may visualize fusion data through the visualization equipment module 810 within the simulation model 800. However, this is an example, and according to FIG. 8, the test simulation device 110 is shown to perform step 740 through the visualization equipment module 810 in the simulation model 800. However, this is an example, and step 740 is a simulation In addition to the model, it may also be performed through communication between a separate server and the test simulation device 110.

According to one embodiment, the user may update at least some of the internal parameters of the tracking and measurement equipment model 330 by monitoring the visualized fusion data and making decisions based on it. Specifically, when the user inputs updates according to the decision through the test simulation device 110 or a separate terminal, the test simulation device 110 creates a tracking and measurement device model 330 based on the updates from the user. Among the internal parameters of , you can adjust the values of parameters related to updates.

Figure 9 is an exemplary diagram showing in more detail the operation flow of a simulation model in a test simulation according to an embodiment.

Referring to FIG. 9, actual test resources (represented by Sensors) are shown on the left, and a database (represented by Databases) for virtualization of test resources is shown on the bottom left of the center. Meanwhile, at the bottom right of the center, knowledge bases for situation awareness are shown.

According to one embodiment, the test simulation device 110 may generate a simulation model in which some of the plurality of test resources are actual test resources and the remaining parts are virtualized test resources, and the guided weapon can be used through this simulation model. Flight tests can be performed for Subsequently, the test simulation device 110 may fuse raw data measured and measured from each test resource (sensor) to generate fused data (Fused states output).

Specifically, the test simulation device 110 may refer to a database for virtualization of some test resources, in which case the database may refer to the physical characteristics of the guided weapon (e.g., range, size, type (ground-to-air, ground-to-ground, air-to-ground). It can include data related to time, latitude, longitude, speed, altitude, signal-to-noise ratio (SNR), and key measurement parameters for characterizing the target (battery status, temperature, vibration, etc.) obtained from tracking equipment. there is.

According to one embodiment, the test simulation device 110 may fuse raw data or process fused fusion data by referring to a knowledge base to assist the user's situation awareness. At this time, the knowledge base may include information related to rules for data fusion, rules for processing fusion data, inference rules, etc. For example, the test simulation device 110 expresses the fusion data in the form of an ontology composed of concepts, properties, axioms, and instances, or a concept map composed of general concepts, subconcepts, and labeled links. It can assist the user's situational awareness.

10 and 11 are exemplary diagrams showing in more detail the flow of information between virtual reality and reality in a test simulation according to an embodiment, respectively.

Referring to Figures 10 and 11, a target model (guided missile model), an environment model, and some measurement device models (unmanned aerial vehicle-mounted telemetry receiver model) are virtually implemented. Meanwhile, in Figure 10, the tracking radar, ground-mounted telemetry receiver, optical tracking equipment, visualization equipment, etc. are implemented as actual measurement equipment, while in Figure 11, the tracking radar is a virtual tracking radar model, and the ground-installed telemetry receiver is a virtual tracking radar model. As a telemetry receiver model, the visualization equipment is implemented as a virtual visualization equipment model.

According to one embodiment, the output of the environment model is input to the target model (guided missile model) and the instrumentation device model (unmanned aerial vehicle-mounted telemetry receiving equipment model) to change some parameter values, and the output of the target model (guided missile model) (Target location, attitude, sensor measurement data, etc.) is input directly into the virtually implemented measurement device model (unmanned aerial vehicle-mounted telemetry receiver model, tracking radar model, telemetry receiver model) or through a virtual-reality interface module. It can be fed into real-world measurement equipment (tracking radar, ground-mounted telemetry receivers, optical tracking equipment).

Specifically, the virtual-reality interface module can convert the output of the target model (guided missile model) into a type of input suitable for each actual measurement equipment. For example, the virtual-reality interface module inputs a baseband signal that can be input to the monopulse tracker input terminal of the tracking radar, and inputs a baseband signal that can be input to the receiver input terminal to the ground-mounted telemetry receiver. The optical tracking device can input a 3D rendered image from the perspective of equipment near the launch site or landing site.

According to one embodiment, the actual visualization equipment or virtual visualization equipment model receives visualization information about the target (e.g., target location information, posture information, image information, etc.) from other measurement device models and visualizes it, Information can be provided in a form that is easy for users to perceive.

In this way, when creating a simulation model for testing a target object, the test simulation device 110 implements each element constituting the simulation model as actual equipment or as a virtual model (or module), thereby implementing various virtual models. -A realistic mixed simulation environment can be built. This can be interpreted to mean that the flow of information between virtual and reality can be implemented in a variety of ways in a simulation environment, and has the advantage of allowing users to perform simulated flight tests by targeting only the desired test resources.

Figure 12 is a block diagram for explaining a test simulation device according to an embodiment.

According to one embodiment, the test simulation device 110 may include a transceiver 111, a processor 113, and a memory 115. The test simulation device 110 is connected to other external devices through the transceiver 111 and can exchange data.

The processor 113 may perform at least one method described above through FIGS. 1 to 11. The memory 115 may store information for performing at least one method described above with reference to FIGS. 1 to 11 . Memory 115 may be volatile memory or non-volatile memory.

The processor 113 may control the test simulation device 110 to execute programs and provide information. The code of the program executed by the processor 113 may be stored in the memory 115.

The processor 113 is connected to the transceiver 111 and the memory 115 to generate a simulation model that virtualizes at least some of the plurality of test resources related to the test of the target object including the plurality of parts, and the generated simulation. Tests on target objects can be performed through the model.

Additionally, the test simulation device 110 according to one embodiment may further include an interface that can provide information to the user.

The test simulation device 110 shown in FIG. 12 shows only components related to this embodiment. Accordingly, those skilled in the art can understand that other general-purpose components may be included in addition to the components shown in FIG. 12.

Devices according to the above-described embodiments include a processor, memory for storing and executing program data, permanent storage such as a disk drive, a communication port for communicating with an external device, a touch panel, keys, buttons, etc. It may include the same user interface device, etc. Methods implemented as software modules or algorithms may be stored on a computer-readable recording medium as computer-readable codes or program instructions executable on the processor. Here, computer-readable recording media include magnetic storage media (e.g., ROM (read-only memory), RAM (random-access memory), floppy disk, hard disk, etc.) and optical read media (e.g., CD-ROM). ), DVD (Digital Versatile Disc), etc. The computer-readable recording medium is distributed among networked computer systems, so that computer-readable code can be stored and executed in a distributed manner. The media may be readable by a computer, stored in memory, and executed by a processor.

This embodiment can be represented by functional block configurations and various processing steps. These functional blocks may be implemented in various numbers of hardware or/and software configurations that execute specific functions. For example, embodiments include integrated circuit configurations such as memory, processing, logic, look-up tables, etc. that can execute various functions under the control of one or more microprocessors or other control devices. can be hired. Similar to how the components can be implemented as software programming or software elements, the present embodiments include various algorithms implemented as combinations of data structures, processes, routines or other programming constructs, such as C, C++, Java ( It can be implemented in a programming or scripting language such as Java), assembler, etc. Functional aspects may be implemented as algorithms running on one or more processors. Additionally, this embodiment may employ conventional technologies for electronic environment setting, signal processing, message processing, and/or data processing. Terms such as “mechanism,” “element,” “means,” and “configuration” may be used broadly and are not limited to mechanical and physical configurations. The term may include the meaning of a series of software routines in connection with a processor, etc.

The above-described embodiments are merely examples and other embodiments may be implemented within the scope of the claims described below.

Claims (10)

Creating a simulation model that virtualizes at least a portion of a plurality of test resources related to a test on a target object including a plurality of parts;
performing a test on the target object through the simulation model;
generating fusion data by processing raw data generated as a result of the test according to the type of test; and
Comprising the step of visualizing the fusion data and providing it to the user,
The step of generating the fusion data is,
Characterized in generating the fusion data by determining the fusion weight of the raw data based on a rule-based or learning-based data fusion algorithm for each type of test,
The simulation model is,
a target model corresponding to the target object that is the subject of the test;
an environmental model corresponding to the environment in which the test is performed; and
A test simulation method, comprising a tracking and measurement equipment model that performs tracking and measurement of the target object during the test. In claim 1,
The target model is,
Receive data regarding the shape, expected trajectory, and scheduled event of the target object,
A test simulation method, characterized in that outputting data regarding the location of the target object, its posture at a specific location, and events that occur. In claim 1,
The environmental model is,
Receive data regarding the space in which the target object moves, the space where test resources that perform tracking and measurement of the target object are placed, and weather conditions during the test,
A test simulation method, characterized in that outputting the amount of change in at least some of the internal parameters of each of the target model and the tracking and measurement equipment model. In claim 1,
The tracking and measurement equipment model is,
A test simulation method comprising one or more tracking test resources and one or more measurement test resources distinguished according to physical characteristics to be tracked or measured. In claim 4,
The simulation model is,
Further comprising a virtual-reality interface module that converts data transmitted between at least a portion of the virtualized test resources and at least a portion of the non-virtualized test resources among the plurality of test resources,
The tracking and measurement equipment model is,
In the case of a virtualized test resource among the tracking test resource and the measurement test resource, the output of the target model and the output of the environment model are input,
A test simulation method, characterized in that, in the case of a test resource that is not virtualized among the tracking test resource and the measurement test resource, an output of the target model converted through the virtual-reality interface module is input. delete delete In claim 1,
The above fusion data is,
A test simulation method comprising at least one of a measurement success probability for the target object, a measurement accuracy for the target object, a safety probability of the test, and an expected cost for the test. A device for test simulation, comprising:
Includes a transceiver, memory for storing instructions, and a processor;
The processor is connected to the transceiver and the memory,
Creating a simulation model that virtualizes at least some of a plurality of test resources related to a test on a target object including a plurality of parts,
Performing a test on the target object through the simulation model,
Convergence data is generated by processing the raw data generated as a result of the test according to the type of test,
The above convergence data is visualized and provided to users,
The processor generates the fusion data by determining a fusion weight of the raw data based on a rule-based or learning-based data fusion algorithm for each type of test,
The simulation model is,
a target model corresponding to the target object that is the subject of the test;
an environmental model corresponding to the environment in which the test is performed; and
A test simulation device comprising a tracking and measurement equipment model that performs tracking and measurement of the target object during the test. As a non-transitory computer readable storage medium,
A medium configured to store computer readable instructions,
The computer readable instructions, when executed by a processor, cause the processor to:
Creating a simulation model that virtualizes at least a portion of a plurality of test resources related to a test on a target object including a plurality of parts;
performing a test on the target object through the simulation model;
generating fusion data by processing raw data generated as a result of the test according to the type of test; and
Perform a test simulation method that includes visualizing the fusion data and providing it to the user,
The step of generating the fusion data is,
Characterized in generating the fusion data by determining the fusion weight of the raw data based on a rule-based or learning-based data fusion algorithm for each type of test,
The simulation model is,
a target model corresponding to the target object that is the subject of the test;
an environmental model corresponding to the environment in which the test is performed; and
A non-transitory computer-readable storage medium, comprising a tracking and measurement equipment model that performs tracking and measurement of the target object during the test.

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