CN113435144A - Far-field data interaction method from Siwave to CST - Google Patents

Far-field data interaction method from Siwave to CST Download PDF

Info

Publication number
CN113435144A
CN113435144A CN202110727549.0A CN202110727549A CN113435144A CN 113435144 A CN113435144 A CN 113435144A CN 202110727549 A CN202110727549 A CN 202110727549A CN 113435144 A CN113435144 A CN 113435144A
Authority
CN
China
Prior art keywords
far
software
cst
siwave
field data
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202110727549.0A
Other languages
Chinese (zh)
Other versions
CN113435144B (en
Inventor
王志成
李龙飞
杨一民
李科
王迎节
孙悦
李逗
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Dalian Qingyang Zhicheng Technology Co ltd
CETC 54 Research Institute
Original Assignee
Dalian Qingyang Zhicheng Technology Co ltd
CETC 54 Research Institute
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Dalian Qingyang Zhicheng Technology Co ltd, CETC 54 Research Institute filed Critical Dalian Qingyang Zhicheng Technology Co ltd
Priority to CN202110727549.0A priority Critical patent/CN113435144B/en
Publication of CN113435144A publication Critical patent/CN113435144A/en
Application granted granted Critical
Publication of CN113435144B publication Critical patent/CN113435144B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/30Circuit design
    • G06F30/31Design entry, e.g. editors specifically adapted for circuit design

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Hardware Design (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Evolutionary Computation (AREA)
  • Geometry (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Design And Manufacture Of Integrated Circuits (AREA)

Abstract

The invention discloses a far field data interaction method from Siwave to CST, and belongs to the technical field of electromagnetic simulation. The method comprises the steps of firstly, acquiring a far field data file corresponding to a simulation project in Siwave software; then converting the obtained far-field data file of the Siwave software into a far-field data file conforming to a CST software format; then, the far-field data file which conforms to the format of the CST software is imported into the simulation project of the CST software. The method is simple and practical, is easy to realize, and can lead the far field simulation result obtained by the Siwave software into the CST software, thereby completing the subsequent simulation work and providing great convenience for the electromagnetic simulation work.

Description

Far-field data interaction method from Siwave to CST
Technical Field
The invention relates to the technical field of electromagnetic simulation, in particular to a far-field data interaction method from Siwave to CST.
Background
Electromagnetic simulation plays an important role in the development of electronic devices. The Siwave software has wide application in the field of PCB circuit simulation, and meanwhile, the CST software is three-dimensional electromagnetic simulation software with wide application.
Since the Siwave and CST software were developed by two different companies, there was no common interface file between the two software. However, in the practical application process of developers, the far-field simulation result obtained by the Siwave software needs to be imported into the CST software to complete the subsequent simulation work.
The existing software interface can not be used for importing the Siwave far-field simulation result into CST software. Meanwhile, manual operation is time-consuming, labor-consuming and low in efficiency in the process of leading in and leading out every time.
Disclosure of Invention
In view of this, the invention provides a far-field data interaction method from the Siwave to the CST, which can introduce the Siwave far-field simulation result into the CST software and has the characteristics of rapidness and convenience.
In order to achieve the purpose, the invention adopts the technical scheme that:
a far-field data interaction method from Siwave to CST, comprising the steps of:
acquiring a far field data file corresponding to a simulation project in Siwave software;
converting the obtained far-field data file of the Siwave software into a far-field data file conforming to a CST software format;
and importing the far-field data file which conforms to the format of the CST software into the simulation engineering of the CST software.
Furthermore, the file name suffix of the far-field data file of the Siwave software is ffd, and the file name suffix of the far-field data file conforming to the CST software format is ffs;
further, the obtaining of the far field data file corresponding to the simulation project in the Siwave software includes:
calling a component object model of the Siwave software by using a programming language;
and opening a simulation engineering file of the Siwave software based on the component object model, and exporting a far-field data file.
Further, the converting the obtained far-field data file of the Siwave software into the far-field data file conforming to the CST software format includes:
opening a far-field data file of the Siwave software by using a programming language to obtain Siwave far-field simulation data;
reading frequency information from Siwave far-field simulation data, and writing the frequency information into a far-field data file of CST;
reading coordinate information from the Siwave far-field simulation data and writing the coordinate information into a far-field data file of CST; the coordinate information is represented by a set of spherical coordinates (phi, theta), phi represents the included angle between the projection of the coordinate point on the XOY plane and the X axis, and theta represents the included angle between the coordinate point and the Z axis;
reading data information corresponding to each coordinate point under each frequency from the Siwave far-field simulation data, and writing the data information into a far-field data file of CST; wherein, the data information consists of real parts and imaginary parts of components of the electric field along phi and theta directions;
further, the importing the far-field data file conforming to the format of the CST software into the simulation engineering of the CST software includes:
calling a component object model of CST software by using a programming language;
opening an engineering file of CST software needing to import a far-field data file based on the component object model;
and importing the engineering file of the CST software into the simulation engineering of the CST software based on the component object model.
Further, the programming language is Python, C + + or Java.
The invention has the beneficial effects that:
1. the invention can lead the far-field simulation result obtained by the Siwave software into the CST software, thereby completing the subsequent simulation work and providing great convenience for the electromagnetic simulation work.
2. The method is simple and easy to realize.
Drawings
FIG. 1 is a flow chart of an embodiment of the present invention.
Detailed Description
In order to make the technical scheme and advantages of the invention clearer, the invention is further described in detail with reference to the accompanying drawings. It should be understood that the description is intended to be exemplary only, and is not intended to limit the scope of the present invention.
As shown in fig. 1, a far-field data interaction method from Siwave to CST includes the following steps:
acquiring a far field data file corresponding to a simulation project in Siwave software;
converting the obtained far-field data file of the Siwave software into a far-field data file conforming to a CST software format;
and importing the far-field data file which conforms to the format of the CST software into the simulation engineering of the CST software.
Furthermore, the suffix of the file name of the far-field data file of the Siwave software is ffd, and the suffix of the file name of the far-field data file of the CST software is ffs;
further, the obtaining of the far field data file corresponding to the simulation project in the Siwave software includes:
calling a component object model of the Siwave software by using a programming language;
and opening a simulation engineering file of the Siwave software based on the component object model, and exporting a far-field data file.
Further, the method for converting the acquired far-field data file of the Siwave software into the far-field data file conforming to the CST software format comprises the following steps:
opening a far-field data file of the Siwave software by using a programming language to obtain Siwave far-field simulation data;
reading frequency information from Siwave far-field simulation data, and writing the frequency information into a far-field data file of CST;
coordinate information is read from the Siwave far-field simulation data and written into the far-field data file of CST. The coordinate information is represented by a set of spherical coordinates (phi, theta), phi represents the included angle between the projection of the coordinate point on the XOY plane and the X axis, and theta represents the included angle between the coordinate point and the Z axis;
and reading data information corresponding to each coordinate point at each frequency from the Siwave far-field simulation data, and writing the data information into a far-field data file of the CST. Wherein, the data information consists of real parts and imaginary parts of components of the electric field along phi and theta directions;
further, the importing the far-field data file conforming to the format of the CST software into the simulation engineering of the CST software includes:
calling a component object model of CST software by using a programming language;
opening an engineering file of CST software needing to import a far-field data file based on the component object model;
and importing the engineering file of the CST software into the simulation engineering of the CST software based on the component object model.
The programming language for realizing the method can be Python, C + + or Java.
The following is a more specific example, which includes the steps of:
and step S1, acquiring a far field data file corresponding to the simulation project of the Siwave software.
In the specific implementation, in step S1, a component object model of the Siwave software is called by using Python; opening a project file of Siwave software of a far-field simulation result based on the component object model; and reading a far-field simulation data file of the simulation result based on the component object model.
In a specific implementation, the file name suffix of the far field data file of the Siwave software in step S1 is ffd.
And step S2, converting the obtained Siwave software far-field data file into a far-field data file conforming to the CST software format.
In the specific implementation, in step S2, a far-field simulation data file of the simulation result is opened and read by using Python; reading frequency information from Siwave far-field simulation data, and writing the frequency information into a far-field data file of CST; coordinate information is read from the Siwave far-field simulation data and written into the far-field data file of CST. The coordinate information is represented by a set of spherical coordinates (phi, theta), phi represents the included angle between the projection of the coordinate point on the XOY plane and the X axis, and theta represents the included angle between the coordinate point and the Z axis; and reading data information corresponding to each coordinate point at each frequency from the Siwave far-field simulation data, and writing the data information into a far-field data file of the CST. Wherein, the data information consists of the imaginary parts of the real parts of the components of the electric field along phi and theta directions;
step S3, importing the far-field data file conforming to the CST format into a simulation project of the CST software.
In the specific implementation, in step S3, the Python is used to call the component object model of the CST software; opening a project file of CST software needing to import far-field simulation data based on the component object model; and importing the generated far-field data file which conforms to the CST format requirement based on the component object model.
In a specific implementation, the file name suffix of the far-field data file of the CST software in step S3 is ffs.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto. Any person skilled in the art should also be able to substitute or change the technical solution and the inventive concept of the present invention within the technical scope of the present disclosure.

Claims (6)

1. A far-field data interaction method from Siwave to CST, comprising the steps of:
acquiring a far field data file corresponding to a simulation project in Siwave software;
converting the obtained far-field data file of the Siwave software into a far-field data file conforming to a CST software format;
and importing the far-field data file which conforms to the format of the CST software into the simulation engineering of the CST software.
2. The far-field data interaction method from Siwave to CST as claimed in claim 1, wherein the file name suffix of the far-field data file of the Siwave software is ffd, and the file name suffix of the far-field data file conforming to the CST software format is ffs.
3. The method of claim 1, wherein the obtaining of the far-field data file corresponding to the simulation project in the Siwave software comprises:
calling a component object model of the Siwave software by using a programming language;
and opening a simulation engineering file of the Siwave software based on the component object model, and exporting a far-field data file.
4. The far-field data interaction method from Siwave to CST according to claim 1, wherein the converting the obtained far-field data file of the Siwave software into a far-field data file conforming to the CST software format comprises:
opening a far-field data file of the Siwave software by using a programming language to obtain Siwave far-field simulation data;
reading frequency information from Siwave far-field simulation data, and writing the frequency information into a far-field data file of CST;
reading coordinate information from the Siwave far-field simulation data and writing the coordinate information into a far-field data file of CST; the coordinate information is represented by a set of spherical coordinates (phi, theta), phi represents the included angle between the projection of the coordinate point on the XOY plane and the X axis, and theta represents the included angle between the coordinate point and the Z axis;
reading data information corresponding to each coordinate point under each frequency from the Siwave far-field simulation data, and writing the data information into a far-field data file of CST; wherein the data information consists of real and imaginary components of the electric field in phi and theta directions.
5. The method as claimed in claim 1, wherein the importing the far field data file conforming to the CST software format into the simulation project of the CST software comprises:
calling a component object model of CST software by using a programming language;
opening an engineering file of CST software needing to import a far-field data file based on the component object model;
and importing the engineering file of the CST software into the simulation engineering of the CST software based on the component object model.
6. A far-field data interaction method from Siwave to CST according to any of claims 3, 4 and 5, wherein the programming language is Python, C + + or Java.
CN202110727549.0A 2021-06-29 2021-06-29 Far-field data interaction method from Siwave to CST Active CN113435144B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110727549.0A CN113435144B (en) 2021-06-29 2021-06-29 Far-field data interaction method from Siwave to CST

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110727549.0A CN113435144B (en) 2021-06-29 2021-06-29 Far-field data interaction method from Siwave to CST

Publications (2)

Publication Number Publication Date
CN113435144A true CN113435144A (en) 2021-09-24
CN113435144B CN113435144B (en) 2022-08-02

Family

ID=77757603

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110727549.0A Active CN113435144B (en) 2021-06-29 2021-06-29 Far-field data interaction method from Siwave to CST

Country Status (1)

Country Link
CN (1) CN113435144B (en)

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103034747A (en) * 2011-10-08 2013-04-10 深圳光启高等理工研究院 Method and system for processing large-scale CST (computer simulation technology) simulation tasks
CN106446377A (en) * 2016-09-14 2017-02-22 华中科技大学 Method and system for calculating pilot frequency multi-antenna electromagnetic field distribution
CN107809276A (en) * 2017-10-10 2018-03-16 中国电子科技集团公司第五十四研究所 Minimize inexpensive satellite data transmission equipment
CN110110393A (en) * 2019-04-18 2019-08-09 深圳市兴森快捷电路科技股份有限公司 A kind of system emulation selection method and system

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103034747A (en) * 2011-10-08 2013-04-10 深圳光启高等理工研究院 Method and system for processing large-scale CST (computer simulation technology) simulation tasks
CN106446377A (en) * 2016-09-14 2017-02-22 华中科技大学 Method and system for calculating pilot frequency multi-antenna electromagnetic field distribution
CN107809276A (en) * 2017-10-10 2018-03-16 中国电子科技集团公司第五十四研究所 Minimize inexpensive satellite data transmission equipment
CN110110393A (en) * 2019-04-18 2019-08-09 深圳市兴森快捷电路科技股份有限公司 A kind of system emulation selection method and system

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
刘兵: "电磁仿真软件CST和HFSS模型接口软件的设计", 《中国优秀博硕士学位论文全文数据库(硕士) 信息科技辑》 *
周水杉: "大功率介质腔滤波器设计", 《电子元件与材料》 *
谢拥军 等: "《Ansoft HFSS基础及应用》", 31 August 2007, 西安电子科技大学出版社 *
金谋平 等: "电磁计算在雷达设计中的应用及需求分析", 《电波科学学报》 *

Also Published As

Publication number Publication date
CN113435144B (en) 2022-08-02

Similar Documents

Publication Publication Date Title
CN109729149A (en) A kind of micro services framework implementation method based on note
CN105447246B (en) The method and system of one key generation electrical schematic diagram
CN112181854A (en) Method, device, equipment and storage medium for generating flow automation script
CN103677821A (en) Method and device for publishing software development tool code
CN113435144B (en) Far-field data interaction method from Siwave to CST
CN109840201B (en) UI test method, device, electronic equipment and computer readable storage medium
Huebner et al. Rifidi toolkit: Virtuality for testing rfid systems
CN113435143B (en) Near-field data interaction method from Siwave to CST
CN109582318B (en) Processing method and device for Portobuf localization, terminal and storage medium
CN116595078A (en) Method for importing far-field data of HFSS software into CST/FEKO software
CN109828755B (en) Electric power graph display method
CN104461905A (en) Method and system for debugging intelligent card virtual machine, API bank and upper layer application at same time
CN103369834B (en) The target parameters processing method made for PCB and device
CN112380031A (en) Method and device for pushing messages in real time in cross-application mode and computing equipment
CN112000786A (en) Dialogue robot problem processing method, device and equipment combining RPA and AI
CN111614604B (en) Code file generation method and device
CN116700724B (en) Interchange plane interactive graphic design system based on mode method
CN113204494B (en) Terminal remote test platform and method, electronic equipment and readable medium
CN112882715B (en) Measurement and control device definition method, computer and definable measurement and control device
CN113592105B (en) Drawing method and device of electrical system diagram
CN113305383A (en) Method and device for analyzing wire cut electrical discharge machining (EDFA) graph based on DXF graph file
CN113885934A (en) Method for realizing compatibility of EDA (electronic design automation) software with third-party PCell unit library
CN207884984U (en) Paving copper device for pcb board
CN116821226A (en) ETL-based welding line virtual process environment construction method, equipment and storage medium
CN116186808A (en) Modeling method and device for components, storage medium and computer equipment

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant