JP6516690B2 - Analyzer and analysis program - Google Patents

Description

  The present invention relates to a technique for analyzing simulation results.

In order to realize product development or organizational decision-making at a low cost and in a short period of time, technology for performing virtual verification using a computer has become important in recent years instead of a prototype or a training by a real machine. ing.
Moreover, analysis simulation is established as a technique for performing virtual verification by a computer.
In the analysis simulation, an object included in the analysis target is modeled. Analytical simulation is a technology for analyzing events that occur in an analysis target by simulating the behavior of a modeled object.

Patent documents 1 to 3 disclose techniques related to analysis simulation.
In the technology of Patent Document 1, an event and a position where the event occurs are associated with each other and displayed on a map or the like.
Although it is important in analytical simulation what factor causes an event, the technique of Patent Document 1 does not display the factor.

The technique of Patent Document 2 is to suppress the amount of log output as a result of execution of analysis simulation. By using this log, it is possible to analyze factors efficiently.
However, in the technology of Patent Document 2, it is not possible to link and display the factor and the effect exerted by the factor and the position where the effect is exhibited.

The technique of Patent Document 3 generates a stochastic process graph based on time-series data of execution results and a relation between objects for each analysis condition, and extracts an analysis condition in which the stochastic process graph is similar. This technology makes it possible to analyze factors efficiently.
However, in the technology of Patent Document 3, it is not possible to link and display the factor and the effect of the factor and the position where the effect is exhibited.

Visualization is essential in order to be able to intuitively understand the factor and the effect of the factor and the position where the effect is exhibited.
However, in order to apply such visualization to the technique of Patent Document 2 or Patent Document 3, the coordinates of the map and the coordinates of the log are compared for the object and its effect, and the necessary information for all the objects is mapped. Work such as adding is required. Therefore, visualization can not be performed efficiently. Also, it is difficult to reuse the map obtained by such work. Furthermore, when it is desired to exclude an object that is supposed to be irrelevant from the target of simulation, the user needs to have knowledge and usage experience for analysis simulation. In other words, the degree of difficulty of work is high.

Patent No. 5002929 Patent No. 4955350 International Publication No. 2014/188475

  An object of the present invention is to make it possible to obtain the magnitude of the effect of a plurality of analytes to be analyzed on a mesh.

The analysis device of the present invention is
Data obtained by analysis simulation for an analysis range divided into a plurality of meshes and a plurality of analytes, and the magnitude of the effect of the analyte on the mesh for each set of the mesh and the analyte A simulation unit for obtaining simulation result data that is data including an effect value to be indicated;
And an effect analysis unit configured to calculate, for each mesh, an analysis value indicating the magnitude of the effect of the plurality of analytes on the mesh, using an effect value for each analyte included in the simulation result data.

  According to the present invention, it is possible to obtain the size of the effect of a plurality of analytes on the mesh.

FIG. 1 is a configuration diagram of an analysis device 100 according to a first embodiment. FIG. 2 is a configuration diagram of a preprocessing unit 110 and simulation data 200 according to the first embodiment. 6 is a flowchart of an analysis method in Embodiment 1; FIG. 2 is a configuration diagram of simulation result data 210 in the first embodiment. FIG. 7 is a schematic diagram of simulation result data 210 in the first embodiment. 10 is a flowchart of effect analysis processing (S130) according to the first embodiment. 10 is a flowchart of first group value calculation processing (S132) in the first embodiment. 5 is a configuration diagram of analysis result data 220 in Embodiment 1. FIG. 6 is a flowchart of appearance determination processing (S140) according to the first embodiment. FIG. 6 is a configuration diagram of first appearance data 230 in the first embodiment. 5 is a configuration diagram of second appearance data 240 in Embodiment 1. FIG. 10 is a flowchart of diagram generation processing (S150) according to the first embodiment. FIG. 10 shows a part of an analysis chart 251 in the first embodiment. 5 is an enlarged view of a mesh in an analysis chart 251 according to Embodiment 1. FIG. FIG. 16 is a view showing a use example of the analysis chart 251 in the first embodiment. 10 is a flowchart of route map addition processing according to Embodiment 2. FIG. 10 is a flowchart of a route calculation process (S203) in the second embodiment. FIG. 16 shows a part of an analysis chart 251 in a second embodiment. FIG. 16 shows a part of an analysis chart 251 in a third embodiment. 10 is a flowchart of an analysis method in Embodiment 4; FIG. 16 is a schematic diagram of an analysis method in a fourth embodiment. Analysis chart 251 in the fifth embodiment. FIG. 18 is a view showing a state in which a part of the analysis chart 251 in the fifth embodiment is designated. FIG. 1 is a hardware configuration diagram of an analysis device 100 according to an embodiment.

Embodiment 1
An analysis apparatus 100 that analyzes the result of analysis simulation will be described based on FIGS. 1 to 15.

*** Description of the configuration ***
The configuration of the analysis device 100 will be described based on FIG.
The analysis device 100 is a computer including hardware such as a processor 901, a memory 902, an auxiliary storage device 903, a communication device 904, an input device 907, and a display 908. The processor 901 is connected to other hardware via a signal line.

The processor 901 is an integrated circuit (IC) that performs processing, and controls other hardware. Specifically, the processor 901 is a CPU, a DSP or a GPU. CPU is an abbreviation for Central Processing Unit, DSP is an abbreviation for Digital Signal Processor, and GPU is an abbreviation for Graphics Processing Unit.
The memory 902 is a volatile storage device. The memory 902 is also referred to as a main storage device or a main memory. Specifically, the memory 902 is a random access memory (RAM).
The auxiliary storage device 903 is a non-volatile storage device. Specifically, the auxiliary storage device 903 is a ROM, an HDD or a flash memory. ROM is an abbreviation for Read Only Memory, and HDD is an abbreviation for Hard Disk Drive.
The communication device 904 is a device that performs communication, and includes a receiver 905 and a transmitter 906. Specifically, the communication device 904 is a communication chip or a NIC (Network Interface Card).
The input device 907 is a device that receives an input. Specifically, the input device 907 is a keyboard, a mouse, a ten key or a touch panel.
The display 908 is a display device that displays data. Specifically, display 908 is a liquid crystal display.

  The analysis apparatus 100 includes “parts” such as a preprocessing unit 110, a simulation unit 120, an effect analysis unit 130, an appearance determination unit 140, and a diagram generation unit 150 as elements of functional configuration. The function of "section" is realized by software. The function of "section" will be described later.

The auxiliary storage device 903 stores a program for realizing the function of “section”. A program for realizing the function of “part” is loaded into the memory 902 and executed by the processor 901.
Furthermore, an OS (Operating System) is stored in the auxiliary storage device 903. At least a portion of the OS is loaded into the memory 902 and executed by the processor 901.
That is, the processor 901 executes a program that implements the function of “section” while executing the OS.
Data obtained by executing a program for realizing the function of “part” is stored in a storage device such as a memory 902, an auxiliary storage device 903, a register in the processor 901 or a cache memory in the processor 901. These storage devices function as a storage unit 191 that stores data.
The analysis apparatus 100 may include a plurality of processors 901, and the plurality of processors 901 may cooperatively execute programs that realize the function of “section”.

The memory 902 and the auxiliary storage device 903 store data to be used, generated, input / output, or transmitted / received by the analysis apparatus 100.
Specifically, the memory 902 stores simulation data 200, simulation result data 210, analysis result data 220, first appearance data 230, second appearance data 240, analysis chart data 250, and the like. Further, the auxiliary storage device 903 stores a specification database 181, a map database 182, and the like. Contents of data stored in the memory 902 and the auxiliary storage device 903 will be described later.

The communication device 904 functions as a communication unit 192 that communicates data, the receiver 905 functions as a receiver 193 that receives data, and the transmitter 906 functions as a transmitter 194 that transmits data.
The input device 907 functions as a receiving unit 195 that receives an input.
The display 908 functions as a display unit 196 that displays data.

Hardware combining the processor 901, the memory 902, and the auxiliary storage device 903 is referred to as "processing circuitry".
"Part" may be read as "process" or "process". The function of “part” may be realized by firmware.
The program for realizing the function of “section” can be stored in a non-volatile storage medium such as a magnetic disk, an optical disk or a flash memory.

The configurations of the preprocessing unit 110 and the simulation data 200 will be described based on FIG.
The preprocessing unit 110 includes a preprocessing unit 110, an analysis condition generation unit 112, and a mesh generation unit 113.
The simulation data 200 includes analyte information 201, analysis condition information 202, and mesh information 203.
The function of the configuration provided in the preprocessing unit 110 and the content of the information included in the simulation data 200 will be described later.

*** Description of operation ***
The operation of the analysis device 100 corresponds to an analysis method. Also, the procedure of the analysis method corresponds to the procedure of the analysis program.

The analysis method will be described based on FIG.
Steps S110 to S113 are preprocessing.
Step S110 is a reception process.
In step S110, the user uses the input device 907 to input object designation information, condition designation information, or an analysis execution instruction.

The object designation information is information for designating a plurality of analytes. An analyte is an object to be analyzed. However, the object designation information may be information for designating an object excluded from the object of analysis.
Specifically, the object designation information is a condition that an object should satisfy, a type of object, or an object ID for identifying an object.
Objects include various things such as moving bodies, stationary objects, fluids, solids, gases, liquids and the like. Specifically, the object is a person, a vehicle, an aircraft, a ship, a weapon, a facility, a hub or a thermal fluid.
By specifying the analyte, the object to be analyzed can be narrowed down, so that effects such as shortening of processing time and suppression of memory usage can be obtained.
However, the object designation information may be omitted. If the object designation information is omitted, all objects are to be analyzed.

The condition designation information is information for designating a condition of analysis.
Specifically, the analysis conditions are a spatial range, a period, an action object ID, an action start time, an action type, a used resource, a movement route, an end condition, a base position, and the like.
The spatial range is the range to be analyzed. The term is the time to be analyzed. The action object ID is an identifier for identifying an action object. The action start time is the time when the object starts the action. The action type is the type of action performed by the object. The resources used are the objects used. The movement path is a path along which an object moves. The termination condition is a condition under which analysis is completed. The base position is the position of an object to be the base.
However, the condition specification information may be omitted. If the condition specification information is omitted, the predetermined condition is the analysis condition. Specifically, the predetermined condition is a predetermined condition or the same condition as the previous one.

  The analysis execution instruction is an instruction for instructing the execution of analysis.

The reception unit 195 receives the input object specification information, condition specification information, or analysis execution instruction.
If the object designation information is accepted, the process proceeds to step S111.
If the condition designation information is accepted, the process proceeds to step S112.
If an analysis execution instruction is accepted, the process proceeds to step S113.

Step S111 is an analyte generation process.
In step S111, the analyte generation unit 111 generates the analyte information 201 based on the received object specification information.
The analyte information 201 is information indicating a plurality of analytes designated by the received object designation information.
Specifically, the analyte information 201 is an object ID for identifying each analyte.

The analyte information 201 is generated using the specification database 181.
The specification database 181 is data including object information for each object. Object information is information indicating a feature of an object. Specific features include type, affiliation, location, and ability.
When the object designation information designates a site, the analyte generation unit 111 extracts object information of an object whose type is the site from the specification database 181. Object information to be extracted is the analyte information 201.
The specification database 181 may be stored in an external server device, and the analyte generation unit 111 may access the external server device.

Step S112 is analysis condition generation processing.
In step S112, the analysis condition generation unit 112 generates the analysis condition information 202 based on the received condition specification information.
The analysis condition information 202 is information indicating an analysis condition designated by the accepted condition designation information.

Step S113 is mesh generation processing.
In step S113, the mesh generation unit 113 generates mesh information 203.
The mesh information 203 is information indicating a plurality of meshes that divide the analysis range.
The analysis range is a range to be analyzed and is a range divided into a plurality of meshes. Specifically, the analysis range is, for example, a two-dimensional area or a three-dimensional space.
The mesh is a range that occupies a part of the analysis range. Specifically, a mesh is an area having a polygonal or polyhedral shape. For example, the mesh is a rectangular area having a latitude width and a longitude width. The latitude width is a width determined as the width of the mesh in the direction of the latitude. The longitude width is a width determined as the width of the mesh in the direction of the longitude.

  The mesh is obtained by a method of dividing the map based on the latitude width and the longitude width, a method called finite element method, or other common methods.

Step S120 is a simulation process.
In step S120, the simulation unit 120 executes analysis simulation using the analyte information 201, the analysis condition information 202, and the mesh information 203.
That is, the simulation unit 120 executes analysis simulation according to the analysis condition, with the analysis range divided into the plurality of meshes and the plurality of analytes as targets.

Analysis simulation is an analysis method such as behavior analysis simulation or physical simulation.
In the analysis simulation, in addition to the analyte information 201, the analysis condition information 202, and the mesh information 203, the specification database 181 and the map database 182 are referred to.
The map database 182 is data including map information. The map database 182 may be stored in an external server device, and the simulation unit 120 may access the external server device.
The specification database 181 is as described above.

By executing the analysis simulation, simulation result data 210 can be obtained.
The simulation result data 210 is data including a vector set for each set of mesh and analyte.
A vector set is a set of sets of effect values and direction values.
The effect value is a value indicating the magnitude of the effect that the analyte gives to the mesh.
The direction value is a value indicating the direction in which the effect of the analyte on the mesh is exerted.

The configuration of the simulation result data 210 will be described based on FIG.
In the simulation result data 210, mesh IDs, object IDs, direction values, and effect values are associated with one another.
The mesh ID is an identifier that identifies the mesh. M _XY identifies a mesh of X rows and Y columns.
The object ID is an identifier that identifies an analyte. The plurality of analytes include an analyte belonging to the first group and an analyte belonging to the second group. _ON n identifies the n th analyte belonging to the N th group. _{Specifically, O 11} identifies the first analyte belonging to the first group, O ₂₁ identifies a second analyte belonging to the second group.

FIG. 5 shows the effect of the analyte O ₁₁ on the mesh M _XY .
Analyte O ₁₁ gives an effect of size V ₁ from above to mesh M _XY , gives an effect of size V ₂ from right, gives an effect of size V ₃ from below, and size from left It gives the effect of V _4.

Returning to FIG. 3, the description will continue from step S110.
Step S110 is an effect analysis process.
In step S110, the effect analysis unit 130 calculates an analysis value for each mesh using the effect value for each analyte included in the simulation result data 210. The analysis value is a value indicating the magnitude of the effect of the plurality of analytes on the mesh.
Specifically, the effect analysis unit 130 calculates the effect value of the first group using the effect value of each analyte belonging to the first group. Further, the effect analysis unit 130 calculates the effect value of the second group using the effect value of each of the analytes belonging to the second group. Then, the effect analysis unit 130 calculates an analysis value using the effect value of the first group and the effect value of the second group.
Specifically, the analysis value is a value corresponding to the ratio of the effect value of the first group to the effect value of the second group.

  Further, the effect analysis unit 130 calculates a representative vector representing a vector set, using the vector set included in the simulation result data 210, for each set of mesh and analyte.

The procedure of the effect analysis process (S130) will be described based on FIG.
In step S131, the effect analysis unit 130 selects one unselected mesh.
Specifically, the effect analysis unit 130 selects one unselected mesh ID from the simulation result data 210.

Step S132 is a first group value calculation process.
In step S132, the effect analysis unit 130 calculates the effect value of the first group using the effect value of each of the analytes belonging to the first group among the effect values corresponding to the selected mesh.

The procedure of the first group value calculation process (S132) will be described based on FIG.
In step S1321, the effect analysis unit 130 selects one unselected analyte.
Specifically, the effect analysis unit 130 selects one unselected object ID from among the object IDs associated with the mesh ID selected in step S131 in the simulation result data 210.

In step S1322, the effect analysis unit 130 determines whether the selected analyte belongs to the first group.
Specifically, the effect analysis unit 130 determines whether the selected object ID is an identifier corresponding to the first group. If the selected object ID is _O1n , the selected object ID is an identifier corresponding to the first group.
If the selected analyte is an analyte belonging to the first group, the process proceeds to step S1323.
If the selected analyte is an analyte belonging to the second group, the process proceeds to step S1325.

  In step S <b> 1323, the effect analysis unit 130 calculates a representative value corresponding to the selected analyte. The representative value is a value representing a plurality of effect values corresponding to the analyte. A specific representative value is the sum of a plurality of effect values.

When the representative value is the sum of a plurality of effect values, the effect analysis unit 130 calculates the representative value corresponding to the selected analyte as follows.
The effect analysis unit 130 acquires, from the simulation result data 210, a plurality of effect values associated with the combination of the selected mesh ID and the selected object ID.
Then, the effect analysis unit 130 calculates the sum of the plurality of acquired effect values. The calculated sum is a representative value corresponding to the selected analyte.
In the simulation result data 210 of FIG. 4, when the selected mesh ID is M _XY and the selected object ID is O ₁₁ , the representative value is the sum of V ₁ , V ₂ , V ₃ and V _4. is there.

In step S1324, the effect analysis unit 130 adds the calculated representative value to the first group value.
The first group value is a value corresponding to the effect value of the first group, and the initial value of the first group value is zero.

In step S1325, the effect analysis unit 130 determines whether there is an unselected analyte.
Specifically, the effect analysis unit 130 determines whether or not there is an unselected object ID in the object ID associated with the mesh ID selected in step S131 in the simulation result data 210.
If there is an unselected analyte, the process returns to step S1321.
If there is no unselected analyte, the first group value calculation process (S132) ends.
The first group value at the end of the first group value calculation process (S132) is the effect value of the first group.

Returning to FIG. 6, the description will continue from step S133.
Step S133 is a second group value calculation process.
In step S133, the effect analysis unit 130 calculates the effect value of the second group using the effect value of each of the analytes belonging to the second group among the effect values corresponding to the selected mesh. The method of calculating the effect value of the second group is the same as the method of calculating the effect value of the first group.

In step S134, the effect analysis unit 130 calculates an analysis value using the effect value of the first group and the effect value of the second group.
Then, the effect analysis unit 130 adds the calculated analysis value to the analysis result data 220 in association with the selected mesh. The analysis result data 220 will be described later.

The specific analysis value can be expressed by the following equation. However, the analysis value is not limited to the value represented by the following equation.
Analysis value = (effect value of first group) / (effect value of second group)

  When the effect value of the first group indicates the strength of the power A and the effect value of the second group indicates the strength of the power B, the analysis value indicates superiority or inferiority of the power A to the power B.

In step S135, the effect analysis unit 130 selects one unselected analyte for the selected mesh.
Specifically, the effect analysis unit 130 selects one unselected object ID from the object IDs associated with the selected mesh ID in the simulation result data 210.

  In step S136, the effect analysis unit 130 calculates a representative vector corresponding to the selected analyte. The representative vector is a vector representing a vector set corresponding to the analyte. A concrete representative vector is the sum of a vector set.

If the representative vector is a sum of vector sets, the effect analysis unit 130 calculates a representative vector corresponding to the selected analyte as follows.
The effect analysis unit 130 acquires, from the simulation result data 210, a vector set associated with a set of the selected mesh ID and the selected object ID.
Then, the effect analysis unit 130 calculates the sum of the acquired vector sets. The calculated sum is a representative vector corresponding to the selected analyte.
In the simulation result data 210 of FIG. 4, when the selected mesh ID is M _XY and the selected object ID is O ₁₁ , the representative vector is the first vector, the second vector, the third vector, and the fourth vector. Is the sum of The first vector is a vector having a magnitude of V ₁ from top to bottom. The second vector is a vector having a magnitude of V ₂ in the direction from right to left. The third vector is a vector having a magnitude of V _{3 in} the bottom to top direction. The fourth vector is a vector having a magnitude of V ₄ in the direction from left to right.

  Then, the effect analysis unit 130 adds the calculated representative vector to the analysis result data 220 in association with the set of the selected mesh and the selected analyte. The analysis result data 220 will be described later.

In step S137, the effect analysis unit 130 determines whether there is an unselected analyte.
Specifically, the effect analysis unit 130 determines whether or not there is an unselected object ID in the object ID associated with the selected mesh ID in the simulation result data 210.
If there is an unselected analyte, the process returns to step S135.
If there is no unselected analyte, the process proceeds to step S138.

In step S138, the effect analysis unit 130 determines whether there is an unselected mesh.
Specifically, the effect analysis unit 130 determines whether or not there is an unselected mesh ID in the simulation result data 210.
If there is an unselected mesh, the process returns to step S131.
If there is no unselected mesh, the effect analysis process (S130) ends.

The configuration of the analysis result data 220 will be described based on FIG.
In the analysis result data 220, mesh IDs, object IDs, and representative vectors are associated with one another.

Returning to FIG. 3, the description will continue from step S140.
In step S140, the appearance determining unit 140 determines the appearance of the mesh in the case where the analysis range is illustrated, using the analysis value corresponding to the mesh for each mesh.
Specifically, the appearance determining unit 140 determines at least one of the color of the mesh and the pattern of the mesh. Colors and patterns include color, hue, light and dark, shades and patterns.

Also, the appearance determining unit 140 determines the appearance of the vector diagram for each set of mesh and analyte. A vector diagram is a diagram showing representative vectors corresponding to a set of mesh and an analyte, which is added to the mesh.
Specifically, the shape of the vector diagram is a triangle. Then, the appearance determining unit 140 determines the height of the triangle formed by the vector diagram based on the magnitude of the representative vector. Further, the appearance determining unit 140 determines the inclination of the triangle formed by the vector diagram based on the direction of the representative vector.

The procedure of the appearance determination process (S140) will be described based on FIG.
In step S141, the appearance determining unit 140 selects one unselected mesh.
Specifically, the appearance determining unit 140 selects one unselected mesh ID from the analysis result data 220.

In step S142, the appearance determining unit 140 determines the appearance of the selected mesh using analysis values corresponding to the selected mesh.
Specifically, the appearance determining unit 140 acquires, from the analysis result data 220, an analysis value associated with the selected mesh ID. Then, the appearance determining unit 140 determines the appearance of the mesh using the acquired analysis value. For example, light and dark data in which the range of analysis values and the light and dark values are associated with each other is stored in the storage unit 191 in advance. Then, the light and dark value associated with the range including the analysis value is selected as a value indicating the appearance of the mesh. The light and dark value is a value indicating the light and dark of the color. The plurality of light and dark values included in the light and dark data may be either discrete values or continuous values.

  Then, the appearance determining unit 140 adds information indicating the determined appearance to the first appearance data 230 in association with the selected mesh.

The configuration of the first appearance data 230 will be described based on FIG.
In the first appearance data 230, mesh IDs and appearance information are associated with each other. The appearance information is an RGB value indicating a color to be painted on the mesh.

Returning to FIG. 9, the description will continue from step S143.
In step S143, the appearance determination unit 140 selects one unselected analyte for the selected mesh.
Specifically, the appearance determining unit 140 selects one unselected object ID from the object IDs in association with the selected mesh ID in the analysis result data 220.

In step S144, the appearance determining unit 140 determines the appearance of the vector diagram using the representative vector corresponding to the set of the selected mesh and the selected analyte.
Specifically, the appearance determining unit 140 acquires, from the analysis result data 220, a representative vector associated with a set of the selected mesh ID and the selected object ID. Then, the appearance determining unit 140 determines the appearance of the vector diagram using the acquired representative vector.

The configuration of the second appearance data 240 will be described based on FIG.
In the second appearance data 240, the mesh ID, the object ID, and the appearance information are associated with one another. Appearance information includes color, azimuth angle and height.
The color included in the appearance information in the second appearance data 240 is a color of a type different from the color indicated by the appearance information in the first appearance data 230. For example, the color in the first appearance data 230 is red or blue, and the colors in the second appearance data 240 are black and white.

Returning to FIG. 9, the description will continue from step S145.
In step S145, the appearance determination unit 140 determines whether there is an unselected analyte for the selected mesh.
Specifically, the appearance determining unit 140 determines whether there is an unselected object ID in the object ID associated with the selected mesh ID in the analysis result data 220.
If there is an unselected analyte, the process returns to step S143.
If there is no unselected analyte, the process proceeds to step S146.

In step S146, the appearance determining unit 140 determines whether there is an unselected mesh.
Specifically, the appearance determining unit 140 determines whether there is an unselected mesh ID in the analysis result data 220.
If there is an unselected mesh, the process returns to step S141.
If there is no unselected mesh, the appearance determination process (S140) ends.

Returning to FIG. 3, the description will continue from step S150.
Step S150 is a figure generation process.
In step S150, the diagram generation unit 150 generates an analysis diagram 251, and the display unit 196 displays the analysis diagram 251.
The analysis diagram 251 is a diagram showing an analysis range and a plurality of meshes.
In analysis diagram 251, each mesh has a determined appearance.
Also, in the analysis diagram 251, a vector diagram having the determined appearance is added to the mesh for each set of mesh and analyte.

  Specifically, the diagram generation unit 150 generates the analysis diagram data 250. The analysis chart data 250 is data for drawing the analysis chart 251. Then, the drawing generation unit 150 outputs the analysis drawing data 250 to the display unit 196, and the display unit 196 draws the analysis drawing 251 using the analysis drawing data 250.

The procedure of the drawing generation process (S150) will be described based on FIG.
In step S 151, the diagram generation unit 150 generates data for drawing the analysis range diagram, and outputs the generated data to the display unit 196. Then, the display unit 196 draws an analysis range diagram. An analysis range diagram is a diagram showing an analysis range.

  In step S152, the diagram generation unit 150 generates data for drawing a mesh frame, and outputs the generated data to the display unit 196. Then, the display unit 196 draws a mesh frame. The mesh frame is a frame for each mesh.

In step S153, the diagram generation unit 150 generates data for drawing an object diagram for each analysis object, and outputs the generated data to the display unit 196. Then, the display unit 196 draws an object diagram for each analysis object. An object view is a view showing an analysis object.
Specifically, for each object ID included in the second appearance data 240, the drawing generation unit 150 generates data of an object drawing having the same color as the color associated with the object ID, and generates the generated data. It is output to the display unit 196.

In step S154, the diagram generation unit 150 selects one unselected mesh.
Specifically, the diagram generation unit 150 selects one unselected mesh ID from the first appearance data 230.

In step S 155, the diagram generation unit 150 generates data for drawing the appearance of the selected mesh, and outputs the generated data to the display unit 196. Then, the display unit 196 draws the appearance of the selected mesh.
Specifically, the diagram generation unit 150 acquires, from the first appearance data 230, appearance information associated with the selected mesh ID. Then, the diagram generation unit 150 generates mesh data having an appearance indicated by the acquired appearance information, and outputs the generated data to the display unit 196.

In step S156, the diagram generation unit 150 selects one unselected analyte for the selected mesh.
Specifically, the diagram generation unit 150 selects one unselected object ID from the object IDs associated with the selected mesh ID in the second appearance data 240.

In step S157, the diagram generation unit 150 generates data for drawing the vector diagram corresponding to the selected analyte on the selected mesh, and outputs the generated data to the display unit 196. Then, the display unit 196 draws, on the selected mesh, a vector diagram corresponding to the selected analyte.
Specifically, the diagram generation unit 150 acquires, from the second appearance data 240, appearance information associated with a set of the selected mesh ID and the selected object ID. Then, the diagram generation unit 150 generates data of a vector diagram having an appearance indicated by the acquired appearance information, and outputs the generated data to the display unit 196.

In step S158, the diagram generation unit 150 determines whether there is an unselected analyte.
Specifically, the diagram generation unit 150 determines whether or not there is an unselected object ID in the object ID associated with the selected mesh ID in the second appearance data 240.
If there is an unselected analyte, the process returns to step S156.
If there is no unselected analyte, the process proceeds to step S159.

In step S159, the diagram generation unit 150 determines whether there is an unselected mesh.
Specifically, the diagram generation unit 150 determines whether or not there is an unselected mesh ID in the first appearance data 230.
If there is an unselected mesh, the process returns to step S154.
If there is no unselected mesh, the diagram generation process (S150) ends.

An analysis chart 251 will be described based on FIGS. 13 and 14.
FIG. 13 shows a part of the analysis diagram 251. The rectangular frames arranged vertically and horizontally indicate mesh frames. The number of hatched lines in the mesh frame indicates the size of the analysis value corresponding to the mesh. The larger the number of lines, the larger the analysis value.
The object diagram 252 shows where the first analyte of the first group is located, and the object diagram 253 shows where the first analyte of the second group is located.
The analysis diagram 251 may include a map. Specifically, the analysis diagram 251 may include the boundary between land and the sea.

  FIG. 14 is an enlarged view of the mesh. The mesh enclosed by the mesh frame 254 is attached with a vector diagram 255 and a vector diagram 256. The isosceles triangle that is the vector diagram 255 indicates the effect value of the first group, and the isosceles triangle that is the vector diagram 256 indicates the effect value of the second group. The height of the isosceles triangle corresponds to the magnitude of the effect value. The height of the isosceles triangle is the length from the center of the base to the apex. The slope of the isosceles triangle corresponds to the direction of the effect value. The inclination of an isosceles triangle is the direction from the center of the base to the apex. In other words, the inclination of the isosceles triangle is the direction from the center of gravity to the vertex.

*** Effect of Embodiment 1 ***
FIG. 15 shows an application example of the analysis chart 251.
The user can visually grasp the flow of the effect of the factor object candidate by tracing back the mesh in the direction indicated by the isosceles triangle with reference to the analysis diagram 251.
The factor object candidate is an object relatively likely to be a factor object. Specifically, the factor object candidate is an object as an analysis object.
The factor object is an object that is a factor of the analysis result.
An analysis result is a result obtained by analysis simulation, and is a result showing an effect exhibited by an object.

  In FIG. 15, the user can visually grasp the flow of the effect on the mesh surrounded by a thick frame. White arrows indicate the flow of effects from object view 252, and black arrows indicate the flow of effects from object view 253.

Further, the user can identify the factor object and grasp the spatial key point by referring to the analysis diagram 251. The spatial point is a place where it is easy to shut off the flow of the effect.
In other words, cause analysis by the user becomes intuitive. In addition, complicated operations and processing are omitted. Cause analysis is the identification of factor objects.

Second Embodiment
The form which illustrates the flow of the effect for every analyte is demonstrated based on FIGS. 16-18. However, the description overlapping with the first embodiment will be omitted or simplified.

*** Description of the configuration ***
The configuration of the analysis apparatus 100 is the same as the configuration described based on FIG. 1 in the first embodiment.

*** Description of operation ***
The operation of the analysis device 100 is the same as the operation described based on FIG. 3 in the first embodiment.
However, the analysis apparatus 100 adds a path diagram to be described later to the analysis diagram 251.

Based on FIG. 16, a route diagram addition process for adding a route diagram to the analysis diagram 251 will be described. The route map addition process is executed after the analysis chart 251 is displayed.
In step S201, the user uses the input device 907 to input location specification information. The part specification information is information for specifying an analysis part. The analysis location is a location to be analyzed. Specifically, the analysis part is a mesh that the user pays attention to.

In step S202, the effect analysis unit 130 selects one unselected analyte.
Specifically, the effect analysis unit 130 selects one unselected object ID from the second appearance data 240.

Step S203 is a route calculation process.
In step S203, the effect analysis unit 130 calculates an effect path using a representative vector for each set of mesh and analyte. The effect path is a path indicating the flow of the effect from the object location to the analysis location. The object location is the location where the analyte is located.

The procedure of the route calculation process (S203) will be described based on FIG.
In step S <b> 2031, the effect analysis unit 130 acquires, from the second appearance data 240, a representative vector corresponding to the mesh as the analysis part and the selected analyte.

  In step S2032, the effect analysis unit 130 specifies a mesh positioned in the direction of the acquired representative vector.

In step S2033, the effect analysis unit 130 determines whether the specified mesh is an object location at which the selected analyte is located.
If the identified mesh is an object location, processing proceeds to step S2035.
If the identified mesh is not an object location, processing proceeds to step S2034.

In step S2034, the effect analysis unit 130 acquires, from the second appearance data 240, a representative vector corresponding to the identified mesh and the selected analyte.
After step S2034, the process returns to step S2032.

In step S2035, the effect analysis unit 130 calculates an effect path using the representative vector acquired in step S2031 and the representative vector acquired in step S2034.
Specifically, the effect analysis unit 130 calculates a curve indicating an effect path by a general approximation method such as the least squares method.

Returning to FIG. 16, the description will be continued from step S204.
In step S 204, the diagram generation unit 150 adds, to the analysis diagram 251, a path diagram indicating an effect path corresponding to the analyte.
Specifically, the diagram generation unit 150 generates data for drawing a route diagram, and outputs the generated data to the display unit 196. Then, the display unit 196 draws a route diagram on the analysis diagram 251.

Furthermore, the diagram generation unit 150 adds an end point diagram indicating an analysis point to the analysis diagram 251.
Specifically, the drawing generation unit 150 generates data for drawing an end-point drawing, and outputs the generated data to the display unit 196. Then, the display unit 196 draws the end point diagram on the analysis diagram 251.

In step S205, the effect analysis unit 130 determines whether there is an unselected analyte.
Specifically, the effect analysis unit 130 determines whether or not there is an unselected object ID in the second appearance data 240.
If there is an unselected analyte, the process returns to step S202.
If there is no unselected analyte, the route map addition process ends.

An analysis chart 251 will be described based on FIG.
The analysis diagram 251 includes an end point frame 257, a route diagram 258 and a route diagram 259.
An end point frame 257 is an end point diagram showing an analysis point.
The path map 258 is a view showing the effect path from the object map 252 to the end point frame 257.
The route diagram 259 is a diagram showing an effect route from the object diagram 253 to the end point frame 257.
The path diagram may be any of a curve with an arrow, a curve without an arrow, or a diagram other than a curve. In addition, the appearance of the route diagram may be adjusted so that the route diagram can be easily viewed. Specifically, by adjusting the transparency of the route map, the route map can be easily viewed.

*** Effect of Embodiment 2 ***
The user can visually grasp the flow of effects without referring to the isosceles triangle in the analysis diagram 251 by referring to the path diagram in the analysis diagram 251.

Third Embodiment
The form which does not show a vector diagram is demonstrated based on FIG. However, the description overlapping with Embodiment 1 or Embodiment 2 will be omitted or simplified.

*** Description of the configuration ***
The configuration of the analysis apparatus 100 is the same as the configuration described based on FIG. 1 in the first embodiment.

*** Description of operation ***
The diagram generation unit 150 does not add a vector diagram to the analysis diagram 251 in the following case.
(1) The user inputs a brief display instruction. The brief display instruction is an instruction instructing that a vector diagram is not added.
(2) The size of the mesh is smaller than the size threshold. Specifically, the length of one side of the mesh is shorter than the length threshold.
(3) The number of meshes is greater than the number threshold.

  FIG. 19 shows an analysis diagram 251 in the case where a vector diagram is not added but a route diagram is added.

*** Effect of Embodiment 3 ***
The simplified display of the analysis diagram 251 makes it easy to view the analysis diagram 251 regardless of the size of the mesh. The concise display of the analysis diagram 251 is particularly effective when the mesh is small.
In thermal fluid analysis, the mesh roughness may differ depending on the range depending on the finite element method. In such a case, the whole analysis diagram 251 can be easily viewed by displaying the analysis diagram 251 in a narrow range of mesh in a concise manner.

Fourth Embodiment
The form which does not show a vector diagram is demonstrated based on FIG. 20 and FIG. However, the explanation overlapping with the explanation from the first embodiment to the third embodiment will be omitted or simplified.

*** Description of the configuration ***
The configuration of the analysis apparatus 100 is the same as the configuration described based on FIG. 1 in the first embodiment.
However, the simulation unit 120 obtains the simulation result data 210 at each time within the analysis time to be analyzed.
Then, the effect analysis unit 130 calculates, for each simulation result data 210, an analysis value or the like for each mesh.

*** Description of operation ***
The procedure of the analysis method will be described based on FIG.
The process from step S110 to step S130 is the same as the process described based on FIG. 3 in the first embodiment.
However, in step S120, the simulation unit 120 selects a target time having a unit time length in order of time from the analysis time. Analysis time is time to be analyzed. Then, the simulation unit 120 performs analysis simulation on the target time.

After step S130, the process proceeds to step S101.
In step S101, the simulation unit 120 determines whether the analysis end condition is satisfied.
Specifically, the simulation unit 120 determines whether the analysis simulation with respect to the analysis time has ended or the other analysis end conditions are satisfied.
If the analysis end condition is satisfied, the process proceeds to step S140.
If the analysis termination condition is not satisfied, the process returns to step S120.

  Steps S140 and S150 are the same as the processing described based on FIG. 3 in the first embodiment.

*** Effect of Embodiment 4 ***
An outline of the analysis method in the first embodiment is shown in (1) of FIG. 21, and an outline of the analysis method in the fourth embodiment is shown in (2) of FIG.
In the first embodiment, simulation results at the end time of analysis time are analyzed.
On the other hand, in the fourth embodiment, the simulation result is analyzed at each time within the analysis time. This makes it possible to obtain the analysis chart 251 at an arbitrary time within the analysis time. Also, by displaying the analysis diagram 251 in order of time, the analysis diagram 251 can be reproduced as a moving image.

*** Other configuration ***
The display unit 196 may display the analysis chart 251 in order of time. That is, the display unit 196 may reproduce the analysis chart 251 as a moving image.
When the storage capacity of the memory 902 and the auxiliary storage device 903 is insufficient, data such as the analysis result data 220 stored in the storage unit 191 may be stored in an external server device.

Embodiment 5
The relationship between the whole of the analysis chart 251 and a part of the analysis chart 251 will be described based on FIGS. 22 and 23. FIG. However, the description overlapping with the description of the first to fourth embodiments will be omitted or simplified.

*** Description of the configuration ***
The configuration of the analysis apparatus 100 is the same as the configuration described based on FIG. 1 in the first embodiment.

*** Description of operation ***
The diagram generation unit 150 selects and displays the entire analysis diagram 251 or a part of the analysis diagram 251 as follows.

First, the diagram generation unit 150 generates an analysis diagram 251 indicating the entire analysis range. The display unit 196 displays the generated analysis chart 251.
The whole of the analysis chart 251 is shown in FIG. When the whole of the analysis diagram 251 is displayed, the vector diagram and the route diagram may be omitted.

Next, the user operates the input device 907 to specify a portion to be enlarged and displayed.
FIG. 23 shows that a part of the analysis chart 251 is designated. The part enclosed by a thick frame is the designated part.

  Then, the diagram generation unit 150 enlarges the designated part, and generates an analysis diagram 251 as shown in FIG. 13, FIG. 18 or FIG. The display unit 196 displays the generated analysis chart 251.

*** Effect of Embodiment 5 ***
The user can refer to a part of the analysis range in an enlarged manner.

*** Supplement of the embodiment ***
The analysis apparatus 100 can be used for behavioral analysis simulation aiming to examine deployment of a mobile body and deployment of a base that supplies the mobile body, or physical simulation for numerical analysis of a thermal fluid.

In the embodiment, the function of the analysis device 100 may be realized by hardware.
FIG. 24 shows a configuration in the case where the function of the analysis device 100 is realized by hardware.
The analysis device 100 includes a processing circuit 990. The processing circuit 990 is also referred to as processing circuitry.
The processing circuit 990 is a dedicated electronic circuit that implements the function of “unit” described in the embodiment. The “part” also includes the storage unit 191.
Specifically, processing circuit 990 is a single circuit, a complex circuit, a programmed processor, a parallel programmed processor, a logic IC, a GA, an ASIC, an FPGA, or a combination thereof. GA is an abbreviation for Gate Array, ASIC is an abbreviation for Application Specific Integrated Circuit, and FPGA is an abbreviation for Field Programmable Gate Array.
The analysis device 100 may include a plurality of processing circuits 990, and the plurality of processing circuits 990 may realize the function of “unit” in cooperation.

  The functions of the analysis device 100 may be realized by a combination of software and hardware. That is, part of the "part" may be realized by software, and the rest of the "part" may be realized by hardware.

  The embodiments are exemplifications of preferred embodiments, and are not intended to limit the technical scope of the present invention. The embodiment may be partially implemented or may be implemented in combination with other embodiments. The procedure described using the flowchart and the like may be changed as appropriate.

  DESCRIPTION OF SYMBOLS 100 analysis apparatus, 110 pre-processing unit, 111 analysis object generation unit, 112 analysis condition generation unit, 113 mesh generation unit, 120 simulation unit, 130 effect analysis unit, 140 appearance determination unit, 150 diagram generation unit, 181 specification database 182 map database, 191 storage unit, 192 communication unit, 193 reception unit, 194 transmission unit, 195 reception unit, 196 display unit, 200 simulation data, 201 analysis object information, 202 analysis condition information, 203 mesh information, 210 simulation result data , 220 analysis result data, 230 first appearance data, 240 second appearance data, 250 analysis diagram data, 251 analysis diagram, 252 object diagram, 253 object diagram, 254 mesh frame, 255 vector diagram, 256 vector diagram, 257 End Frame, 258 flowsheet, 259 flowsheet, 901 a processor, 902 a memory, 903 an auxiliary storage device, 904 communication device, 905 a receiver, 906 a transmitter, 907 input unit, 908 display, 990 processing circuits, 991 storage unit.

Claims (11)

An analysis simulation is performed on an analysis range divided into a plurality of meshes and a plurality of analytes, and an effect value indicating the magnitude of the effect of the analyte on the mesh for each set of the mesh and the analyte A simulation unit for obtaining simulation result data that is data including
An effect analysis unit configured to calculate, for each mesh, an analysis value indicating the magnitude of the effect of the plurality of analytes on the mesh, using an effect value for each analyte included in the simulation result data ;
The plurality of analytes include an analyte belonging to a first group and an analyte belonging to a second group,
The effect analysis unit calculates an effect value of the first group using an effect value of each analyte belonging to the first group, and uses an effect value of each analyte belonging to the second group. An analysis apparatus which calculates an effect value of a group and calculates a value corresponding to a ratio of an effect value of the first group to an effect value of the second group as the analysis value . An analysis simulation is performed on an analysis range divided into a plurality of meshes and a plurality of analytes, and an effect value indicating the magnitude of the effect of the analyte on the mesh for each set of the mesh and the analyte A simulation unit for obtaining simulation result data that is data including
An effect analysis unit configured to calculate, for each mesh, an analysis value indicating the magnitude of the effect of the plurality of analytes on the mesh, using the effect value for each analyte included in the simulation result data ;
An appearance determination unit that determines an appearance of the mesh when the analysis range is illustrated, using analysis values corresponding to the mesh for each mesh;
And a diagram generation unit that generates an analysis diagram, which is a diagram showing the analysis range and the plurality of meshes, wherein each mesh has a determined appearance.
The simulation result data is, for each set of mesh and analyte, a set of an effect value indicating the magnitude of an effect given to the mesh by the analyte and a set of direction values indicating a direction in which the effect exerted on the mesh by the analyte. Contains a vector set which is
The analysis device calculates a representative vector representing the vector set, using the vector set included in the simulation result data, for each set of a mesh and an analyte . The analysis device according to claim 2 , wherein the appearance determination unit determines at least one of a color of the mesh and a pattern of the mesh. The appearance determination unit is a diagram showing a representative vector corresponding to a set of mesh and an analyte for each set of mesh and an analyte, and a vector diagram being a diagram added to the mesh in the analysis drawing. Determine the appearance
The analyzer according to claim 2 or 3 . The shape of the vector diagram is a triangle,
The appearance determining unit, according to claim 4 in which the height of a triangle the vector diagram forms determined based on the size of the representative vector is determined based on the slope of a triangle the vector diagram forms in the direction of the representative vector Analysis device described in. The analysis device according to claim 4 or 5 , wherein the diagram generation unit adds a vector diagram having the determined appearance to the mesh in the analysis diagram for each set of mesh and an analyte. The effect analysis unit uses the representative vector of each set of mesh and analyte to show an effect path indicating the flow of the effect ranging from the object location where the analyte is located to the analysis location to be analyzed for each analyte. The analyzer according to any one of claims 2 to 6 , which calculates. The analyzer according to claim 7 , wherein the diagram generation unit adds, to the analysis diagram, a route diagram showing an effect path corresponding to the analyte for each of the analytes. The simulation unit obtains simulation result data at each time within an analysis time to be analyzed.
The analysis device according to any one of claims 1 to 8 , wherein the effect analysis unit calculates an analysis value for each mesh for each simulation result data. An analysis simulation is performed on an analysis range divided into a plurality of meshes and a plurality of analytes, and an effect value indicating the magnitude of the effect of the analyte on the mesh for each set of the mesh and the analyte Simulation processing to obtain simulation result data that is data including
The computer executes an effect analysis process of calculating an analysis value indicating the magnitude of the effect of the plurality of analytes on the mesh using the effect value of each of the analytes included in the simulation result data for each mesh. Analysis program for
The plurality of analytes include an analyte belonging to a first group and an analyte belonging to a second group,
The effect analysis process calculates an effect value of the first group using an effect value of each analyte belonging to the first group, and uses an effect value of each analyte belonging to the second group. Calculating an effect value of the group and calculating a value corresponding to a ratio of the effect value of the first group to the effect value of the second group as the analysis value
Analysis program. An analysis simulation is performed on an analysis range divided into a plurality of meshes and a plurality of analytes, and an effect value indicating the magnitude of the effect of the analyte on the mesh for each set of the mesh and the analyte Simulation processing to obtain simulation result data that is data including
An effect analysis process of calculating an analysis value indicating the magnitude of the effect of the plurality of analytes on the mesh, using the effect value of each analyte included in the simulation result data for each mesh ;
An appearance determination process of determining the appearance of the mesh when the analysis range is illustrated using analysis values corresponding to the mesh for each mesh;
A diagram showing the analysis range and the plurality of meshes, and a diagram generating process for generating an analysis diagram which is a diagram having the appearance that each mesh is determined Analysis for causing a computer to execute A program ,
The simulation result data is, for each set of mesh and analyte, a set of an effect value indicating the magnitude of an effect given to the mesh by the analyte and a set of direction values indicating a direction in which the effect exerted on the mesh by the analyte. Contains a vector set which is
The effect analysis process calculates a representative vector representing the vector set, using a vector set included in the simulation result data, for each set of a mesh and an analyte.
Analysis program.

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