CN101979969B - Multi-channel digital signal processor-based flow field reconstruction computing method - Google Patents

Multi-channel digital signal processor-based flow field reconstruction computing method Download PDF

Info

Publication number
CN101979969B
CN101979969B CN2010102772427A CN201010277242A CN101979969B CN 101979969 B CN101979969 B CN 101979969B CN 2010102772427 A CN2010102772427 A CN 2010102772427A CN 201010277242 A CN201010277242 A CN 201010277242A CN 101979969 B CN101979969 B CN 101979969B
Authority
CN
China
Prior art keywords
multichannel
signal processor
unit
data
micro
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.)
Expired - Fee Related
Application number
CN2010102772427A
Other languages
Chinese (zh)
Other versions
CN101979969A (en
Inventor
万雄
张志敏
高益庆
肖文荟
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.)
State Grid Corp of China SGCC
Electric Power Research Institute of State Grid Jiangxi Electric Power Co Ltd
Nanchang Hangkong University
Original Assignee
Nanchang Hangkong University
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 Nanchang Hangkong University filed Critical Nanchang Hangkong University
Priority to CN2010102772427A priority Critical patent/CN101979969B/en
Publication of CN101979969A publication Critical patent/CN101979969A/en
Application granted granted Critical
Publication of CN101979969B publication Critical patent/CN101979969B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Landscapes

  • Photometry And Measurement Of Optical Pulse Characteristics (AREA)

Abstract

The invention discloses a multi-channel digital signal processor-based flow field reconstruction computing method. The spectral radiation information of flow fields to be detected, such as an aviation engine plume and the like, is received by a multi-channel planar array photoelectric sensor. The method comprises the following steps that: firstly, a micro control unit controls a main program to start a multi-channel analog-to-digital converting unit to convert the measurement of a vector analog signal to the measurement of a vector digital signal; secondly, a multi-channel data cache unit caches the data of the measurement of the vector; and finally, projection matrix data is stored in an external data storage. The method has the advantage that: based on multi-channel DSP parallel, tomographic reconstruction algorithm is realized; compared with that of the traditional pure software-based method, the reconstruction computing time of the method is saved; and the real-time property of detection is improved.

Description

Reconstructing flow field computing method based on the multi-path digital signal processor
Technical field
The present invention relates to a kind of reconstructing flow field computing method of digital signal processor, relate in particular to a kind of reconstructing flow field computing method based on the multi-path digital signal processor.
Background technology
During the three-dimensional Temperature Distribution in flow field such as aeromotor plume detected under atmospheric environment, emission spectral chromatography was a kind of feasible detection method.During detecting, emission spectral chromatography need relate to collection, the tomographic reconstruction computing of emission spectra data, the processes such as demonstration of tomographic results.Wherein the tomographic reconstruction operand is very big, adopts the method for pure software need consume great amount of time, can't guarantee the real-time that detects.
Summary of the invention
The object of the present invention is to provide a kind of reconstructing flow field computing method based on the multi-path digital signal processor; This method adopts computings such as the matrix multiplication of multichannel floating-point signal processor in rebuilding, addition, and realizes the flow process control that whole reconstruction is calculated by micro-control unit MCU.Rebuild and calculate required data by external data memory, multichannel AD conversion unit and the storage of multichannel data buffer unit.Reconstructed results is exported to computing machine through RS232 serial communication unit, realizes result's demonstration and storage.
The present invention realizes like this; Reconstructing flow field device based on the multi-path digital signal processor; It comprises face array photoelectric sensor, AD conversion unit, data buffer storage unit, floating-point signal processor, serial communication unit, computing machine, external data memory, micro-control unit; It is characterized in that the multichannel face array photoelectric sensor AD conversion unit that connects one to one; The multichannel AD conversion unit data buffer storage unit that connects one to one, the multichannel data buffer unit floating-point signal processor that connects one to one, the multichannel floating-point signal processor connects micro-control unit, external data memory and serial communication unit jointly respectively; The serial communication unit connects computing machine, the corresponding respectively multichannel AD conversion unit that connects of micro-control unit.
Method for reconstructing flow field based on the multi-path digital signal processor: the aeromotor plume waits for that the spectral radiance information of flow measurement field is received by the multichannel face array photoelectric sensor; At first; The micro-control unit controls master routine starts the multichannel AD conversion unit and measures vectorial simulating signal to the conversion of measuring vectorial digital signal; Measure the metadata cache of vector then by the multichannel data buffer unit; Externally in the data-carrier store, the micro-control unit controls master routine starts the multichannel floating-point signal processor to the projection matrix data storage, carries out matrix multiplication, the computing of addition reconstruction iteration by measurement vector data and the projection matrix data in the external data memory that floating-point signal processor is called in the multichannel data buffer unit; And the intermediate reconstructed vector data is delivered to external data memory store; The micro-control unit controls master routine judges that whether the iterative computation termination condition satisfies, and as not satisfying, then continues the reconstruction iteration computing; As satisfying, then export reconstructed results to computing machine through the serial communication unit by floating-point signal processor, computing machine is realized the demonstration and the storage of reconstructed results through host computer procedure then.
Advantage of the present invention is: this method is based on the computing of multichannel DSP Parallel Implementation tomographic reconstruction, and tradition is saved the time of rebuilding computing based on the method for pure software, has improved the real-time that detects.
Description of drawings
Fig. 1 is a structural representation of the present invention.
Face array photoelectric sensor 2, AD conversion unit 3, data buffer storage unit 4, Floating-point DSP TMS320C67115, serial communication unit 6, computing machine 7, external data memory 8, micro-control unit in the drawings, 1,
Embodiment
As shown in Figure 1; The aeromotor plume waits for that the spectral radiance information of flow measurement field is received by multichannel face array photoelectric sensor 1; At first; Micro-control unit 8 control master routines start multichannel AD conversion unit 2 and measure vectorial simulating signal to the conversion of measuring vectorial digital signal, are measured the metadata cache of vector then by multichannel data buffer memory list 3.The projection matrix data storage is externally in the data-carrier store 7; Micro-control unit 8 control master routines start multichannel Floating-point DSP TMS320C67114; Measurement vector data and the projection matrix data in the external data memory 7 by Floating-point DSP TMS320C67114 calls in the multichannel data buffer unit 3 are carried out reconstruction iteration computings such as matrix multiplication, addition, and the intermediate reconstructed vector data is delivered to external data memory 7 storages.Micro-control unit 8 control master routines judge that whether the iterative computation termination condition satisfies, and as not satisfying, then continues the reconstruction iteration computing; As satisfying, then export reconstructed results to computing machine 6 through RS232 serial communication unit 5 by Floating-point DSP TMS320C67114, computing machine 6 is realized the demonstration and the storage of reconstructed results through host computer procedure then.
The device of realizing this invention is: several face array photoelectric sensor 1 AD conversion unit 2 that connects one to one; Several AD conversion unit 2 data buffer storage unit 3 that connects one to one; The several data buffer storage unit 3 Floating-point DSP TMS320C67114 that connects one to one; Several Floating-point DSP TMS320C67114 connects micro-control unit 8, external data memory 7 and serial communication unit 5 jointly respectively; Serial communication unit 5 connects computing machine 6, the corresponding respectively several AD conversion unit 2 that connects of micro-control unit 8.

Claims (1)

1. reconstructing flow field computing method based on the multi-path digital signal processor is characterized in that:
This method is used the reconstructing flow field device based on the multi-path digital signal processor, and this device comprises:
Face array photoelectric sensor, AD conversion unit, data buffer storage unit, floating-point signal processor, serial communication unit, computing machine, external data memory, micro-control unit; The multichannel face array photoelectric sensor AD conversion unit that connects one to one; The multichannel AD conversion unit data buffer storage unit that connects one to one; The multichannel data buffer unit floating-point signal processor that connects one to one; The multichannel floating-point signal processor connects micro-control unit, external data memory and serial communication unit jointly respectively, and the serial communication unit connects computing machine, the corresponding respectively multichannel AD conversion unit that connects of micro-control unit; This method comprises:
The aeromotor plume waits for that the spectral radiance information of flow measurement field is received by the multichannel face array photoelectric sensor; At first; The micro-control unit controls master routine starts the multichannel AD conversion unit and measures vectorial simulating signal to the conversion of measuring vectorial digital signal; Measure the metadata cache of vector then by the multichannel data buffer unit; Externally in the data-carrier store, the micro-control unit controls master routine starts the multichannel floating-point signal processor to the projection matrix data storage, carries out matrix multiplication, the computing of addition reconstruction iteration by measurement vector data and the projection matrix data in the external data memory that floating-point signal processor is called in the multichannel data buffer unit; And the intermediate reconstructed vector data is delivered to external data memory store; The micro-control unit controls master routine judges that whether the iterative computation termination condition satisfies, and as not satisfying, then continues the reconstruction iteration computing; As satisfying, then export reconstructed results to computing machine through the serial communication unit by floating-point signal processor, computing machine is realized the demonstration and the storage of reconstructed results through host computer procedure then.
CN2010102772427A 2010-09-09 2010-09-09 Multi-channel digital signal processor-based flow field reconstruction computing method Expired - Fee Related CN101979969B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN2010102772427A CN101979969B (en) 2010-09-09 2010-09-09 Multi-channel digital signal processor-based flow field reconstruction computing method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN2010102772427A CN101979969B (en) 2010-09-09 2010-09-09 Multi-channel digital signal processor-based flow field reconstruction computing method

Publications (2)

Publication Number Publication Date
CN101979969A CN101979969A (en) 2011-02-23
CN101979969B true CN101979969B (en) 2012-09-19

Family

ID=43600487

Family Applications (1)

Application Number Title Priority Date Filing Date
CN2010102772427A Expired - Fee Related CN101979969B (en) 2010-09-09 2010-09-09 Multi-channel digital signal processor-based flow field reconstruction computing method

Country Status (1)

Country Link
CN (1) CN101979969B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108268697A (en) * 2017-12-20 2018-07-10 中国空间技术研究院 A kind of high efficiency electric propulsion plume plasma parallel simulation method

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1776389A (en) * 2005-06-01 2006-05-24 中国科学院光电技术研究所 Transient three-dimensional flow field optical chromatography measuring system
EP1105814B1 (en) * 1999-06-14 2007-11-28 Koninklijke Philips Electronics N.V. Method of determining an intrinsic spectrum from a measured spectrum
CN101156059A (en) * 2005-04-01 2008-04-02 3M创新有限公司 Multiplex fluorescence detection device having removable optical modules
CN201170771Y (en) * 2007-12-17 2008-12-24 南昌航空大学 Image-rebuilding device for optical chromatography detection
CN201698496U (en) * 2010-07-14 2011-01-05 南昌航空大学 Flow field reconstruction apparatus based on a plurality of data signal processor

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070171409A1 (en) * 2006-01-04 2007-07-26 Xinghua Wang Method and apparatus for dense spectrum unmixing and image reconstruction of a sample
US7587285B2 (en) * 2007-08-31 2009-09-08 Life Technologies Corporation Method for identifying correlated variables

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1105814B1 (en) * 1999-06-14 2007-11-28 Koninklijke Philips Electronics N.V. Method of determining an intrinsic spectrum from a measured spectrum
CN101156059A (en) * 2005-04-01 2008-04-02 3M创新有限公司 Multiplex fluorescence detection device having removable optical modules
CN1776389A (en) * 2005-06-01 2006-05-24 中国科学院光电技术研究所 Transient three-dimensional flow field optical chromatography measuring system
CN201170771Y (en) * 2007-12-17 2008-12-24 南昌航空大学 Image-rebuilding device for optical chromatography detection
CN201698496U (en) * 2010-07-14 2011-01-05 南昌航空大学 Flow field reconstruction apparatus based on a plurality of data signal processor

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
万雄.多光谱辐射层析重建三维火焰温度场.《光学学报》.2003,第23卷(第9期),1100-1104. *

Also Published As

Publication number Publication date
CN101979969A (en) 2011-02-23

Similar Documents

Publication Publication Date Title
CN104601176A (en) Regularized adaptive matching pursuit based electric system data reconstruction method
WO2014177522A3 (en) Device and method for wave-field reconstruction
CN104657219A (en) Application program thread count dynamic regulating method used under isomerous many-core system
CN105445514A (en) FPGA-based multiprocessor digital storage oscilloscope
CN110263038A (en) A kind of Hash multi-table join implementation method based on grouping vector
CN102955068A (en) Harmonic detection method based on compressive sampling orthogonal matching pursuit
CN103530276A (en) Self-adaptation matrix multiplication optimization method based on dragon chip 3B
CN101979969B (en) Multi-channel digital signal processor-based flow field reconstruction computing method
CN101957458B (en) Method for processing ultralow frequency data
CN201698496U (en) Flow field reconstruction apparatus based on a plurality of data signal processor
CN104202209A (en) Computer unified device architecture (CUDA)-based multi-system signal frequency rapid acquisition implementation method
CN104679994A (en) Autonomous underwater vehicle propeller fault detecting method based on wavelet single branch reconstruction
CN103634009B (en) The method improving analog acquisition device A/D conversion accuracy
CN106198295B (en) Portable poultry egg freshness detection device based on weight loss rate and method thereof
CN204686728U (en) Novel digital display torque spanner
CN103678255A (en) FFT efficient parallel achieving optimizing method based on Loongson number three processor
CN203224359U (en) Intelligent calibrating device for test system of internal combustion engine
CN102661960B (en) <220>Rn measurement method and device based on time spectrum analysis
CN106370928A (en) Electronic watt-hour meter and measuring method thereof
CN204594433U (en) Digitized Air momentum instrument
CN203037368U (en) Temperature measurement processing apparatus
CN102591775A (en) System for implementing automatic test of software
XU et al. BPT algorithm for weighting ray matrix in ART algorithm
楊政儒 Power Monitor of Embedded System with Power Signal Compression
Lin et al. One method and realization of real-time calculating phase factor of Chirp Scaling Algorithm

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
ASS Succession or assignment of patent right

Owner name: STATE ELECTRIC NET CROP.

Free format text: FORMER OWNER: NANCHANG UNIV. OF AVIATION

Effective date: 20131107

Owner name: JIANGXI ELECTRIC POWER SCIENCE ACADEMY NANCHANG UN

Effective date: 20131107

C41 Transfer of patent application or patent right or utility model
COR Change of bibliographic data

Free format text: CORRECT: ADDRESS; FROM: 330000 NANCHANG, JIANGXI PROVINCE TO: 100031 DONGCHENG, BEIJING

TR01 Transfer of patent right

Effective date of registration: 20131107

Address after: 100031 West Chang'an Avenue, Beijing, No. 86

Patentee after: State Grid Corporation of China

Patentee after: Jiangxi Electric Power Science Academy

Patentee after: Nanchang Univ. of Aviation

Address before: 696 No. 330000 Jiangxi province Nanchang Honggutan Feng and South Avenue

Patentee before: Nanchang Univ. of Aviation

CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20120919

Termination date: 20190909

CF01 Termination of patent right due to non-payment of annual fee