CN107356819B - A kind of intelligent domestic electromagnetic radiation information service system - Google Patents
A kind of intelligent domestic electromagnetic radiation information service system Download PDFInfo
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- CN107356819B CN107356819B CN201610304748.XA CN201610304748A CN107356819B CN 107356819 B CN107356819 B CN 107356819B CN 201610304748 A CN201610304748 A CN 201610304748A CN 107356819 B CN107356819 B CN 107356819B
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R29/00—Arrangements for measuring or indicating electric quantities not covered by groups G01R19/00 - G01R27/00
- G01R29/08—Measuring electromagnetic field characteristics
- G01R29/0807—Measuring electromagnetic field characteristics characterised by the application
- G01R29/0814—Field measurements related to measuring influence on or from apparatus, components or humans, e.g. in ESD, EMI, EMC, EMP testing, measuring radiation leakage; detecting presence of micro- or radiowave emitters; dosimetry; testing shielding; measurements related to lightning
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S11/00—Systems for determining distance or velocity not using reflection or reradiation
- G01S11/02—Systems for determining distance or velocity not using reflection or reradiation using radio waves
- G01S11/06—Systems for determining distance or velocity not using reflection or reradiation using radio waves using intensity measurements
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W64/00—Locating users or terminals or network equipment for network management purposes, e.g. mobility management
Abstract
The present invention proposes a kind of intelligent domestic electromagnetic radiation information service system, the ELECTROMAGNETIC RADIATION SIGNATURE of electromagnetic radiation monitoring point collecting part position;Data acquisition center carries out the electromagnetic radiation amplitude-frequency characteristic that Fast Fourier Transform (FFT) obtains each electromagnetic spectrum monitoring point to data, chooses the maximum value in amplitude-versus-frequency curve as electromagnetic radiation energy magnitude;Service centre carries out completion to electromagnetic radiation energy value matrix, and determines radiation source, the electromagnetic radiation energy magnitude data after obtaining completion and the position coordinates with radiation source;Database purchase electromagnetic radiation energy magnitude, and by Browser/Server Mode, indoor electromagnetic radiation energy value is shown with web interface, draws out electromagnetic spectrum map.The present invention can draw out intuitive electromagnetic radiation distribution situation map, effectively restore true frequency spectrum situation information, more accurately determine the position of radiation source.
Description
Technical field
The invention belongs to fields of communication technology, and in particular to a kind of intelligent domestic electromagnetic radiation information service system.
Background technique
Electromagnetic technique has been widely used for the every field of national economy, and has been deep into family life, and each
The life and work of people is closely coupled.Greatly arrive radio broadcasting, cellular communication, it is small set to all kinds of medical treatment, household electrical appliance.Electromagnetic technique exists
While constantly offering convenience to human lives, all kinds of electromagnetic radiation are also inevitably resulted from, lead to spatial electromagnetic situation
Increasingly sophisticated, the problem of electromagnetic pollution, is outstanding day by day.
On the one hand, influence of the electromagnetic radiation to human health is increasingly becoming public topic, or even causes the electricity of part population
Magnetic Psychological phobia.On the other hand, the opening of electromagnetic spectrum continues to bring out the illegality equipments such as radio bug, pseudo-base station,
Electromgnetic seat hidden danger is brought to daily life.
US military DARPA cost billions of dollars carries out Radio Map project, draws battlefield electromagnetism map, Shanghai City
National first " frequency spectrum resource map " is worked out into starting.In advance in Hongqiao Integrative Transport Hub and Xujiahui commercial circle starting construction net
It formats radio monitoring network, explores and realize that the gridding to frequency resource monitors in real time.The drafting of electromagnetic spectrum map is often
By way of by indoor environment gridding, need to detect the electromagnetic radiation energy magnitude of each mesh point respectively, this is just needed
Expend many human and material resources.
Existing some location algorithms are all cooperative positioning, are that radiation source and positioning system have one kind of information exchange fixed
Position mode, and the opening of electromagnetic spectrum makes radio bug, and the illegality equipments such as pseudo-base station continue to bring out, this kind of equipment and fixed
Position system is not no information exchange, needs to use non-cooperative localization mode.
Summary of the invention
The present invention proposes a kind of intelligent domestic electromagnetic radiation information service system, and the system is by by electromagnetic spectrum monitoring point
The data of real-time collecting are handled, and draw out intuitive electromagnetic radiation distribution situation map, people can be helped clearer
Solve the electromagnetic radiation level of target area;In order to save expense, the present invention uses the scheme of sample space perception, utilizes part net
Lattice point carries out the sampling of data, then the completion of spectrum information data is carried out using mathematical tool, to effectively restore true
Frequency spectrum situation information;In order to be determined more accurately the position of equipment, localization method of this system based on electromagnetic spectrum energy,
The position of various kinds of equipment can be accurately determined, to protect the personal secrets of user.
In order to solve the above technical problem, the present invention provides a kind of intelligent domestic electromagnetic radiation information service systems, including
Electromagnetic spectrum monitoring point, data acquisition center, service centre, database and intelligent terminal;The electromagnetic radiation monitoring point acquisition
The ELECTROMAGNETIC RADIATION SIGNATURE of a period of time inner part position obtains the orthogonal two paths of data of ELECTROMAGNETIC RADIATION SIGNATURE time domain, and by two-way
Data are uploaded to data acquisition center;Data acquisition center carries out Fast Fourier Transform (FFT) to the orthogonal two paths of data received and obtains
The electromagnetic radiation amplitude-frequency characteristic of each electromagnetic spectrum monitoring point is obtained, chooses the maximum value in amplitude-versus-frequency curve as electromagnetic radiation
The electromagnetic radiation energy magnitude of energy value, multiple electromagnetic radiation monitoring points forms electromagnetic radiation energy value matrix;Service centre is to electricity
Magnetic radiation energy value matrix carries out completion, and determine radiation source, electromagnetic radiation energy magnitude data after acquisition completion and
With the position coordinates of radiation source;Database purchase electromagnetic radiation energy magnitude, and by Browser/Server Mode, with webpage circle
Face shows indoor electromagnetic radiation energy value, draws out electromagnetic spectrum map;Intelligent terminal passes through webpage remote access data library,
Obtain electromagnetic spectrum map and radiation source positions coordinate information.
Further, when the electromagnetic radiation monitoring point acquisition ELECTROMAGNETIC RADIATION SIGNATURE, indoor environment is divided into grid, is used
The ELECTROMAGNETIC RADIATION SIGNATURE of one electromagnetic spectrum monitoring device collecting part grid position.
Further, when service centre first uses nearest-neighbors method to carry out completion to electromagnetic radiation energy value matrix, then again
Continue iterative algorithm according to fixed point and advanced optimizes completion effect.
Further, intelligent terminal is fixed terminal or mobile terminal.
Further, the process that service centre positions radiation source are as follows:
If the grid that indoor environment divides is square, each grid places electromagnetic radiation monitoring point on four corners;
Choose the maximum grid of the sum of energy value measured by electromagnetic radiation monitoring point on four angles;
According to the energy value grid measured by electromagnetic radiation monitoring point on maximum four angles of the sum of the energy value
Position weighting coefficient, specifically: assuming that energy value matrix measured by electromagnetic radiation monitoring point is on four anglesIt is first
First ask its absolute value and inverseThen Nth power is soughtIt finally normalizes, if X=
1/|x1|N+1/|x2|N+1/|x3|N+1/|x4|N, then weighting coefficient are as follows:
Wherein, co1、co2、co3And co4Indicate the position weighting coefficient of electromagnetic radiation monitoring point on four angles, x1、x2、x3
And x4Indicate energy value measured by electromagnetic radiation monitoring point on four angles;
5.4 weighting coefficients obtained according to 5.3 weight the corresponding position in each monitoring point, are finally added, and obtain final to be measured
Source position Le=L1+L1·co1+L2·co2+L3·co3+L4·co4, LeIndicate the position in the source to be measured of estimation, L1、L2、L3And L4
Respectively indicate the relative position of electromagnetic radiation monitoring point on the angle of quadrangle.
Compared with prior art, the present invention its remarkable advantage is: (1) it is of the invention from indoor environment, will not see,
Impalpable electromagnetic radiation carries out data visualization, draws out the straightaway electromagnetic spectrum map of the public;In concern electromagnetism spoke
In the case where penetrating with Electromgnetic seat, devises towards wisdom electromagnetic radiation information service system, show domestic environment electromagnetic radiation
Situation is excavated potential electromagnetic pollution and electromagnetism in domestic environment and is threatened;(2) present invention employs the sides of Spatial sampling perception
Case carries out electromagnetic radiation energy data in conjunction with mathematical tool using the sample energy data of the Partial Mesh point through over-sampling
Completion, to effectively restore true electromagnetic spectrum situation information;(3) present invention devises a kind of effectively based on electromagnetism
The positioning method of radiation energy magnitude, to determine the specific location of radiation source, to protect the personal secrets of user.
Detailed description of the invention
Fig. 1 is present system composition schematic diagram;
Fig. 2 is radiation source positioning and tracking schematic diagram in the present invention.
Specific embodiment
It is readily appreciated that, technical solution according to the present invention, in the case where not changing connotation of the invention, this field
Those skilled in the art can imagine the numerous embodiments of intelligent domestic electromagnetic radiation information service system of the present invention.Cause
This, following specific embodiments and attached drawing are only the exemplary illustrations to technical solution of the present invention, and are not to be construed as this hair
Bright whole is considered as limitation or restriction to technical solution of the present invention.
Intelligent domestic electromagnetic radiation information service system of the present invention include electromagnetic radiation source positioning with tracking, frequency spectrum map with
WIFI hot spot Optimization deployment and electromagnetic radiation and three service functions of human health, user can be carried out remote by intelligent terminal
Journey access.As shown in Figure 1, the system comprises: electromagnetic spectrum monitoring point, data acquisition center, service centre, database and intelligence
It can terminal.
Electromagnetic spectrum monitoring point: use radio software peripheral hardware (USRP) as electromagnetic spectrum monitoring point, the electromagnetism spoke
The ELECTROMAGNETIC RADIATION SIGNATURE for penetrating current location in the acquisition a period of time of monitoring point, obtains orthogonal two number of ELECTROMAGNETIC RADIATION SIGNATURE time domain
According to, and interacted by User Datagram Protocol (UDP) with upper layer, two paths of data is uploaded to data acquisition center.
When electromagnetic radiation monitoring point acquires ELECTROMAGNETIC RADIATION SIGNATURE, indoor environment is divided into grid, utilizes an electromagnetism frequency
It composes the electromagnetic radiation time-domain signal of monitoring device USRP collecting part grid position and carries out digital letter by data acquisition center
Number processing, service centre is then reached by the connection of WLAN.Since electromagnetic spectrum monitoring device USRP is only acquired
The data of Partial Mesh point, thus obtained frequency spectrum map be it is incomplete, need to incomplete electromagnetic radiation energy magnitude into
The processing of row matrix completion algorithm.
Data acquisition center: data acquisition center carries out Fast Fourier Transform (FFT) to the orthogonal two paths of data received
(FFT) the electromagnetic radiation amplitude-frequency characteristic for obtaining each electromagnetic spectrum monitoring point USRP, chooses the maximum value in amplitude-versus-frequency curve
As electromagnetic radiation energy magnitude.
Service centre: matrix completion is carried out to electromagnetic radiation energy magnitude and radiation source location algorithm is handled, after obtaining completion
Electromagnetic radiation energy magnitude data and coordinate with radiation source.
Using FP-KN algorithm grid position will not detected for the electromagnetic radiation energy magnitude of the Partial Mesh point of acquisition
Electromagnetic radiation energy value complement is modeled as one based on the sample matrix of known portions sampling grid point data to restore complete square entirely
The optimization problem of battle array.It is specific as follows:
Firstly, enabling aij,Position electromagnetic radiation corresponding marked as the grid of (i, j) on representation space
Energy value, the mesh point not monitored on × representation space, wherein space is divided into N × N number of mesh point, and (i, j) is respectively indicated
To the transverse and longitudinal subscript of space networks lattice site label.Definition sample rate is matrixThe number of middle actual measurement mesh point and total net
The ratio between lattice number, it is desirable to global frequency spectrum situation information is obtained by actual measurement grid number as few as possible.The above problem can be with
It is represented by the following formula:
Wherein,For the sparse matrix of the electromagnetic radiation energy of the Partial Mesh point measured after spatial sampling,ForThrough
Approximate electromagnetic spectrum situation matrix after crossing Supplementing Data algorithm, A are actual complete indoor frequency spectrum situation matrix;For A
Subset,For the approximation of A.
Then, above-mentioned optimization problem is solved using FP-KN algorithm, which is to fixed point continuous algorithm (FPCA)
It improves, carries out preliminary completion processing using the thought of nearest-neighbors method (KNN).Specifically, when detecting lacking for sparse matrix
When losing data, with the weighting of the electromagnetic radiation energy of neighbours' grid (Nearest Neighbors) closest around the data
Value carrys out the electromagnetic radiation energy magnitude of the completion vacancy grid, and the levels of precision of KNN algorithm and neighbours' quantity (K) have positive correlation
Relationship.Then completion effect is advanced optimized further according to the iterative algorithm of FPCA.
The thought of fixed point continuous algorithm (FPCA) is a kind of operation isolation technics, will obtain portion according to certain sample rate
The electromagnetic radiation energy data of subnetting lattice point are denoted as subset E, then can build without the frequency spectrum data completion of monitoring net lattice point
Mould is based on known data matrixRestore complete matrix A, can be modeled as following optimization problem:
Wherein,Indicate that A belongs to N × N two-dimensional space, | | A | |*Normal form (i.e. all surprises of the matrix of representing matrix A
The sum of different value), ν is a scalar parameter, to the two parts being added in tradeoff formula.Ai,jIndicate the member that (i, j) is designated as under in A
Element,Then indicateIn under be designated as the element of (i, j).
Next above-mentioned optimization problem is just solved using fixed point continuous algorithm, the thought of the algorithm is a kind of operation point
From technology, mainly simply linearly calculated using following two step:
Wherein Y is intermediate quantity, Yk, AkRespectively indicate the k power of Y and A, Sν() representing matrix zoom factor, τ are iteration
The factor, g (Mk) it is functionPointThe gradient at place.Above formula is continued to analogize, may finally restrain to obtain most
Excellent solutionThenComplete electromagnetic radiation energy magnitude and original electricity after exactly sample energy data are carried out with modeling completion
Magnetic radiation frequency spectrum dataApproximation.
Database: storing corresponding electromagnetic radiation energy magnitude, carries out completion data with service centre and radiation source positioning is sat
The interaction of the information such as mark, and by browser/server (B/S) mode, design web interface shows indoor electromagnetic radiation energy
Magnitude draws out frequency spectrum map.The present invention will not seen, impalpable electromagnetic radiation carries out data visualization, depict characterization
The electromagnetic spectrum map of indoor electromagnetic radiation signal strength and physical space mapping relations.Electromagnetic radiation is provided by B/S mode
Information service, design web interface show electromagnetic spectrum data.
Intelligent terminal: including fixed terminal or mobile terminal, electromagnetism can be remotely accessed by the webpage of intelligent terminal
Radiation information service system obtains the electromagnetic spectrum map and radiation source positions information of domestic environment radiation.
The process of radiation source positioning and tracking is carried out using information service system of the present invention are as follows:
As illustrated in fig. 2, it is assumed that the region to be measured of indoor environment contains 3 grids, 8 electromagnetic radiation monitoring point USRP and
1 radiation source (mobile phone in figure).Each grid is a square, all placed electromagnetic radiation prison on square four corners
Measuring point USRP, the distance between adjacent electromagnetic radiation monitoring point USRP is equal.
When radiation emission signal, it is assumed that 8 electromagnetic radiation monitoring point USRP energy values that service centre is calculated
For [x1,x2,...,x8], 8 electromagnetic radiation monitoring point USRP in space are respectively corresponded, i.e. USRP1 to USRP8 is defined simultaneously
The relative position of each electromagnetic radiation monitoring point USRP are as follows:
[L1,L2,...,L8]=[(0,0) (0,1) (1,0) (1,1) (2,0) (2,1) (3,0) (3,1)]
The method then positioned to radiation source is as follows:
Step 1 rearranges energy value according to the position of electromagnetic radiation monitoring point USRP each in actual scene, then
Energy value matrixWherein the corresponding submatrix of 3 grids is
Step 2 chooses the maximum grid of the sum of energy value of electromagnetic radiation monitoring point on four angles, determines that radiation source exists
In this grid.The energy and sum of first grid1=x1+x2+x3+x4, the energy and sum of second grid2=x3+x4+x5+
x6, the energy and sum of third grid3=x5+x6+x7+x8, wherein sum1, sum2And sum3Respectively indicate the energy of 3 grids
With.Assuming that here, sum1> sum2> sum3, then it is assumed that radiation source is in first grid;
Step 3: four energy values of the grid selected according to step 2 determine the weighting coefficient of its position.In view of surveying
The energy value obtained is generally negative, so the calculating process of weighting coefficient are as follows: seeks absolute value, asks reciprocal, seek Nth power, normalize.
Specifically, grid obtained above isIts absolute value and inverse are asked firstThen n times are sought
SideFinally normalize, if
X=1/ | x1|N+1/|x2|N+1/|x3|N+1/|x4|N, then weighting coefficient
Step 4 weights its corresponding position according to the weighting coefficient that step 3 obtains, is finally added, and obtains final to be measured
The estimated location in source.
The position of 4 points is in first gridFinally
Estimated location Le=L1+L1·co1+L2·co2+L3·co3+L4·co4, LeIndicate the position in the source to be measured of estimation, L1,L2,L3,
L4Respectively indicate the relative position of electromagnetic radiation monitoring point USRP1, USRP2, USRP3 and USRP4, co1, co2, co3, co4It indicates
Weighting coefficient.
Claims (2)
1. a kind of intelligent domestic electromagnetic radiation information service system, which is characterized in that acquired including electromagnetic spectrum monitoring point, data
Center, service centre, database and intelligent terminal;
The ELECTROMAGNETIC RADIATION SIGNATURE of electromagnetic radiation monitoring point acquisition a period of time inner part position, when obtaining ELECTROMAGNETIC RADIATION SIGNATURE
The orthogonal two paths of data in domain, and two paths of data is uploaded to data acquisition center;
Data acquisition center carries out Fast Fourier Transform (FFT) to the orthogonal two paths of data received and obtains each electromagnetic spectrum monitoring
The electromagnetic radiation amplitude-frequency characteristic of point chooses the maximum value in amplitude-versus-frequency curve as electromagnetic radiation energy magnitude, multiple electromagnetism spokes
Penetrate the electromagnetic radiation energy magnitude composition electromagnetic radiation energy value matrix of monitoring point;
Service centre carries out completion to electromagnetic radiation energy value matrix, and positions to radiation source, the electromagnetism after obtaining completion
Radiation energy Value Data and position coordinates with radiation source;
Database purchase electromagnetic radiation energy magnitude, and by Browser/Server Mode, indoor electromagnetism is shown with web interface
Radiation energy magnitude draws out electromagnetic spectrum map;
Intelligent terminal obtains electromagnetic spectrum map and radiation source positions coordinate information by webpage remote access data library;
When the electromagnetic radiation monitoring point acquisition ELECTROMAGNETIC RADIATION SIGNATURE, indoor environment is divided into grid, uses an electromagnetism frequency
Compose the ELECTROMAGNETIC RADIATION SIGNATURE of monitoring device collecting part grid position;
When service centre first uses nearest-neighbors method to carry out completion to electromagnetic radiation energy value matrix, then prolong further according to fixed point
Continuous iterative algorithm advanced optimizes completion effect;
The process that service centre positions radiation source are as follows:
(1) grid for setting indoor environment division is square, and each grid places electromagnetic radiation monitoring point on four corners;
(2) the maximum grid of the sum of energy value measured by electromagnetic radiation monitoring point on four angles is chosen;
(3) position of the energy value grid according to measured by electromagnetic radiation monitoring point on maximum four angles of the sum of the energy value
Weighting coefficient is set, specifically: assuming that energy value matrix measured by electromagnetic radiation monitoring point is on four anglesFirst
Ask its absolute value and inverseThen Nth power is soughtIt finally normalizes, if X=1/
|x1|N+1/|x2|N+1/|x3|N+1/|4|N, then weighting coefficient are as follows:
Wherein, co1、co2、co3And co4Indicate the position weighting coefficient of electromagnetic radiation monitoring point on four angles, x1、x2、x3And x4Table
Show energy value measured by electromagnetic radiation monitoring point on four angles;
(4) the corresponding position in each monitoring point is weighted according to the weighting coefficient that (3) obtain, be finally added, obtain final source to be measured
Position Le=L1+L1·co1+L2·co2+L3·co3+L4·co4, LeIndicate the position in source to be measured, L1、L2、L3And L4It respectively indicates
The relative position of electromagnetic radiation monitoring point on the angle of quadrangle.
2. intelligent domestic electromagnetic radiation information service system as described in claim 1, which is characterized in that intelligent terminal is fixed whole
End or mobile terminal.
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CN108566256B (en) * | 2018-03-23 | 2021-02-02 | 中国人民解放军国防科技大学 | Construction method of frequency spectrum map |
CN109298391B (en) * | 2018-08-27 | 2023-08-01 | 南京航空航天大学 | Fixed-place information source positioning system, method and application |
CN109460854A (en) * | 2018-09-29 | 2019-03-12 | 北京小米移动软件有限公司 | Information processing method, equipment and storage medium |
CN109599027B (en) * | 2018-10-31 | 2021-10-08 | 北京小米移动软件有限公司 | Electronic map display method and device, storage medium and electronic equipment |
CN109946526B (en) * | 2019-02-25 | 2021-12-28 | 天津大学 | Complex electromagnetic environment detection network fusing Internet of things and cloud platform and detection method thereof |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103149457A (en) * | 2013-03-01 | 2013-06-12 | 西安电子科技大学 | Space electromagnetic intensity distribution analysis method |
CN103634061A (en) * | 2013-11-13 | 2014-03-12 | 南京捷希科技有限公司 | Electromagnetic radiation monitoring system |
JP2014235131A (en) * | 2013-06-04 | 2014-12-15 | 日本電信電話株式会社 | Simple device for testing strength for withstanding electromagnetic interference wave |
CN104316778A (en) * | 2014-11-13 | 2015-01-28 | 李建 | Spatial electromagnetic frequency spectrum detection method |
CN104702689A (en) * | 2015-03-12 | 2015-06-10 | 高魁 | Mobile application service monitoring system for electromagnetic radiation |
CN204515026U (en) * | 2015-02-03 | 2015-07-29 | 江汉大学 | A kind of device detecting electromagnetic radiation |
CN105137204A (en) * | 2015-09-22 | 2015-12-09 | 西华大学 | Apparatus and method for locating indoor electromagnetic radiation source |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP4586240B2 (en) * | 2000-06-01 | 2010-11-24 | ソニー株式会社 | Electromagnetic radiation measuring apparatus and electromagnetic radiation measuring method |
-
2016
- 2016-05-10 CN CN201610304748.XA patent/CN107356819B/en active Active
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103149457A (en) * | 2013-03-01 | 2013-06-12 | 西安电子科技大学 | Space electromagnetic intensity distribution analysis method |
JP2014235131A (en) * | 2013-06-04 | 2014-12-15 | 日本電信電話株式会社 | Simple device for testing strength for withstanding electromagnetic interference wave |
CN103634061A (en) * | 2013-11-13 | 2014-03-12 | 南京捷希科技有限公司 | Electromagnetic radiation monitoring system |
CN104316778A (en) * | 2014-11-13 | 2015-01-28 | 李建 | Spatial electromagnetic frequency spectrum detection method |
CN204515026U (en) * | 2015-02-03 | 2015-07-29 | 江汉大学 | A kind of device detecting electromagnetic radiation |
CN104702689A (en) * | 2015-03-12 | 2015-06-10 | 高魁 | Mobile application service monitoring system for electromagnetic radiation |
CN105137204A (en) * | 2015-09-22 | 2015-12-09 | 西华大学 | Apparatus and method for locating indoor electromagnetic radiation source |
Non-Patent Citations (1)
Title |
---|
智能家居环境监测系统设计;黄国伟;《中国科技纵横》;20110818(第10期);304 * |
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