JPH0619873A - Network method analytic result display device - Google Patents

Abstract

PURPOSE:To make analytic evaluation efficient by visually and three- dimentionally displaying the difference of an analytic result at each point and its variation corresponding to a time on a display device. CONSTITUTION:After reading three-dimentional arrangement data of a node from RAM 3 for storing the three-dimentional arrangement data of the node, an arithmetic part 6 three-dimentional-coordinate-transforms it by a matrix expressing the positional relation of a room based on the distribution arithmetic result of an arithmetic part 5. An arithmetic part 7 inputs the position of a particle from an input device 12 and calculates the movement of the particle based on a vector quantity from an external storage device 11. Furthermore, a particle coloring processing part 8 colors the particle based on a scalar quantity from the external storage device 11 and color display section data from the input device 12. Then, a display device 13 displays the obtained shape of each node, the positional relation of each node, data on all the nodes and passages and a speed place displayed by the locus of the particle.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a three-dimensional model display device for network method analysis results, which is applied to a system for processing and displaying network method analysis results.

[0002]

2. Description of the Related Art The network (pipe network) method is one of the methods of discretizing a partial differential equation, and the analysis target is modeled and calculated as follows.

1. The analysis space is not defined by a specific coordinate system, but is expressed by a collection of one-dimensional conduits called passages as defining points of flux such as vector quantity, momentum, and heat quantity. 2. The connection between passages is expressed by defining points of scalar quantity called nodes. Conversely, the connection of nodes can be expressed by passages. 3. The spatial discretization of the PDE is done by passages and nodes.

In this network method, for example, when a fluid is poured from a position in a large or small pipe that is connected and branched in a complicated shape, the flow velocity and temperature distribution of the fluid at each point of the pipe And the like, where nodes correspond to the inside of the pipe and passages correspond to the joints between the pipes. However, the obtained result is a modeled one-dimensional quantity, and the original shape and positional relationship of the analysis target cannot be obtained.

A trend graph as shown in FIG. 7 is used for plotting a one-dimensional quantity. The horizontal axis of the trend graph is time,
By taking the result data on the vertical axis, it is possible to examine the temporal change in the vector amount of the specific passage, the node, and the scalar amount. However, the trend graph cannot evaluate the change in each quantity due to the positional relationship between all the data, passages, and nodes.

[0006]

According to the conventional method, it is possible to grasp the temporal change of data of a specific node or passage. However, it is difficult to evaluate the data of multiple nodes at the same time and to understand the transition of the whole phenomenon from the three-dimensional positional relationship. Also, the velocity data cannot be displayed as a three-dimensional vector.

[0007]

[Means for Solving the Problems] In a display device for a three-dimensional model of network method analysis results, a means for holding a result analyzed by the network method by modeling, and a three-dimensional object on the analysis target based on the result And a display means for displaying the information. Thus, the difference in the analysis result at each point and the change over time are visually displayed on the display device three-dimensionally.

[0008]

[Function] By adding the shape data and the three-dimensional arrangement, which are missing in the analysis result of the network method, the data distribution in the actual three-dimensional space can be visually grasped. Input the actual shapes of the nodes and passages and convert the centralized data into distribution data. Enter the three-dimensional arrangement of nodes and passages in this, and display the overall shape and distribution of the results. Scalar quantities such as temperature are displayed in color, velocity data is displayed in a three-dimensional vector, and tracer calculations can be performed to improve the efficiency of analysis and evaluation.

[0009]

First, in order to explain the network method in detail, modeling of the network of FIG. 5 for the analysis object of FIG. 4 will be described. The nodes in FIG. 5 correspond to the room in FIG. The actual shape of the node means the three-dimensional shape of the room. The connection information of the nodes is obtained from the passage of FIG. 5, for example, the node 1 is connected to the node 2 at the passage 1. The three-dimensional arrangement data of nodes is data that describes the positional relationship of each room, and the local coordinate system of each room is converted into the global coordinate system. In the tracer method that expresses the velocity field in three-dimensional space, a small mark (= particle) is placed at the place where you want to know the velocity field.
To track its behavior. As a result, the shape and positional relationship of each node (= room) can be grasped, and the data of all nodes and passages can be visualized. In addition, the velocity field can be displayed as a particle trajectory.

FIG. 1 shows a block diagram of one embodiment of the present invention. In FIG. 1, RAM1 stores connection information of nodes, RAM2 stores actual shapes of nodes, RAM3 stores three-dimensional arrangement of nodes, and RAM4 stores programs for executing the operation of the embodiment. Analysis results at nodes and passages
It is stored in the external storage device 11. The particle position and color display classification data are input from the input device 12. CPU10
Integrates these memories and the input device 12 to execute an arithmetic operation, etc., and the display device 13 three-dimensionally displays the result on the analysis target.

FIG. 2 shows the internal functional blocks of the CPU 10, and FIG. 3 shows a flowchart of the operation of the present invention.
First, the CPU 10 reads the node connection information from the node connection information storage RAM 1 in the network (step S1), and then reads the node real shape data from the node real shape data storage RAM 2 (step S2). ). After that, based on the analysis result (scalar amount such as temperature and speed, vector amount) from the external storage device 11, the scalar and vector amount distribution calculation in the actual shape is performed (steps S3 and S4). This result is obtained by a unique coordinate system (local coordinate system) for each node. In the analysis result of the network method, only scalar quantity (temperature etc.) at the center of the node and vector quantity (velocity etc.) at the connecting point can be obtained.

However, it is impossible that the entire inside of the actual node has the same scalar amount. Therefore, in order to make the network method result three-dimensional, the calculation unit 5 calculates the scalar amount and vector amount of each node from the positions of the actual shape and the actual shape of the path and the vector amount of the path. To make the overall shape, it is necessary to build up the nodes based on the positional relationship of each node (node 2 is on the right side of node 1, node 3 is above node 1, etc.). The arithmetic unit 6 reads the three-dimensional arrangement data of the nodes from the RAM 3 for storing the three-dimensional arrangement data of the nodes, and then, based on the distribution arithmetic result of the arithmetic unit 5, performs the three-dimensional coordinate conversion with the matrix showing the positional relationship of the room. (Step S
5, S6). By this, the amount expressed in the local coordinate system for each room is changed to the global coordinate system, and the overall shape and the distribution of the analysis result are obtained. The calculation unit 7 inputs the position of the particle from the input device 12 (step S7), and calculates the motion of the particle based on the vector amount from the external storage device 11 (step S8) (step S9). The arrow creation processing unit 9 creates an arrow when there is a vector amount from the external storage device 11 (step S10). When there is no vector amount, the position of the particle input from the input device 12 is set as the particle position. The particle coloring processing unit 8 colors particles based on the scalar amount from the external storage device 11 and the color display classification data from the input device 12. The display device 13 displays the obtained shape of each node, the positional relationship of each node, the data of all nodes / passages, and the velocity field displayed by the particle trajectory as shown in FIG. 6 (step S12).

[0013]

As described above in detail, according to the present invention, it is possible to evaluate data of a plurality of nodes at the same time and to understand the transition of the whole phenomenon from the three-dimensional positional relationship. It is possible to improve the efficiency of evaluation of network method analysis results.

[Brief description of drawings]

FIG. 1 is a block diagram showing an overall configuration according to an embodiment of the present invention.

FIG. 2 is a detailed block diagram according to an embodiment of the present invention.

FIG. 3 is a flowchart showing the operation of the embodiment.

FIG. 4 is a diagram showing an example of an analysis target by a network method.

FIG. 5 is a diagram showing an example of modeling by a network method.

FIG. 6 is a diagram showing an example of introducing particles by a tracer method.

FIG. 7 is a diagram showing an example of a trend graph.

[Explanation of symbols]

1 to 4 ... RAM, 5 ... Distribution calculation unit of analysis result in actual shape of nodes, 6 ... Three-dimensional coordinate conversion calculation unit, 7 ... Particle motion calculation unit, 8 ... Particle coloring processing unit, 9 ... Arrow creation processing unit 10,
... CPU, 11 ... External storage device, 12 ... Input device, 13
... display device.

Claims (1)

[Claims] 1. A storage means for holding a result analyzed by a network method by modeling, a calculation means and a display means for displaying the result three-dimensionally on an original analysis target, A display device in a three-dimensional model of a network method analysis result, which is characterized by visually displaying a three-dimensional difference on an analysis result at each point and a change with time on a display device.