CN113452158A - Environmental electromagnetic wave energy acquisition system - Google Patents
Environmental electromagnetic wave energy acquisition system Download PDFInfo
- Publication number
- CN113452158A CN113452158A CN202110594359.6A CN202110594359A CN113452158A CN 113452158 A CN113452158 A CN 113452158A CN 202110594359 A CN202110594359 A CN 202110594359A CN 113452158 A CN113452158 A CN 113452158A
- Authority
- CN
- China
- Prior art keywords
- signal
- module
- electromagnetic wave
- frequency
- energy
- 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.)
- Pending
Links
- 230000007613 environmental effect Effects 0.000 title claims abstract description 18
- 238000001228 spectrum Methods 0.000 claims abstract description 56
- 238000012545 processing Methods 0.000 claims abstract description 49
- 238000001514 detection method Methods 0.000 claims abstract description 29
- 238000006243 chemical reaction Methods 0.000 claims abstract description 23
- 230000005540 biological transmission Effects 0.000 claims abstract description 11
- 238000004146 energy storage Methods 0.000 claims abstract description 8
- 125000004122 cyclic group Chemical group 0.000 claims description 27
- 238000000034 method Methods 0.000 claims description 18
- 238000001914 filtration Methods 0.000 claims description 15
- 230000003595 spectral effect Effects 0.000 claims description 12
- 230000005670 electromagnetic radiation Effects 0.000 claims description 10
- 238000004364 calculation method Methods 0.000 claims description 6
- 230000005855 radiation Effects 0.000 claims description 4
- 238000009825 accumulation Methods 0.000 claims description 3
- 230000003044 adaptive effect Effects 0.000 claims description 3
- 230000003321 amplification Effects 0.000 claims description 3
- 230000000903 blocking effect Effects 0.000 claims description 3
- 238000005286 illumination Methods 0.000 claims description 3
- 238000010606 normalization Methods 0.000 claims description 3
- 238000003199 nucleic acid amplification method Methods 0.000 claims description 3
- 230000010355 oscillation Effects 0.000 claims description 3
- 230000008569 process Effects 0.000 claims description 3
- 238000003306 harvesting Methods 0.000 claims 4
- 238000004590 computer program Methods 0.000 claims 1
- 238000005516 engineering process Methods 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012806 monitoring device Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000008092 positive effect Effects 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J50/00—Circuit arrangements or systems for wireless supply or distribution of electric power
- H02J50/20—Circuit arrangements or systems for wireless supply or distribution of electric power using microwaves or radio frequency waves
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R23/00—Arrangements for measuring frequencies; Arrangements for analysing frequency spectra
- G01R23/16—Spectrum analysis; Fourier analysis
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J50/00—Circuit arrangements or systems for wireless supply or distribution of electric power
- H02J50/001—Energy harvesting or scavenging
Abstract
The invention belongs to the technical field of energy collection, and discloses an environmental electromagnetic wave energy collection system, which comprises: the device comprises an electromagnetic wave spectrum detection module, an electromagnetic wave energy acquisition module, a radio frequency matching module, an energy conversion module, an electric energy storage module, a charging module, a lighting module, a power supply module, a data line transmission module, a voltage boosting module and a central control and processing module. The electromagnetic wave spectrum detection module, the electromagnetic wave energy conversion module, the radio frequency matching module and the energy conversion module are arranged, so that the electromagnetic wave which is filled in a space environment can be converted into electric energy to provide electric energy for equipment and a circuit thereof, the problems of charging and lighting of the equipment per se can be solved, the problems that the existing energy such as solar energy is unstable and can not supply energy continuously are solved, meanwhile, the electromagnetic wave existing in the environment is reasonably utilized, and a foundation is laid for the wider application of the electromagnetic wave.
Description
Technical Field
The invention belongs to the technical field of energy collection, and particularly relates to an environmental electromagnetic wave energy collection system.
Background
At present: with the continuous development of society and science and technology, at present, in an intelligent building, at least hundreds of sensor nodes are distributed at each part in the building body and used for monitoring parameters such as temperature, brightness, pedestrian flow and the like, and particularly after an epidemic situation is developed, intelligent detection equipment is also distributed in various public places, which is a common trend. It is very expensive to provide power to these sensor nodes by wiring.
The commonly used environmental energy sources at present comprise solar energy, vibration energy, wind energy, temperature difference heat energy and the like, but some of the energy sources are limited by climatic conditions and cannot stably provide energy. In the space environment, the broadcast television tower, the wireless communication equipment and the like almost radiate electromagnetic waves all weather, so the electromagnetic waves have better stability and can provide energy by utilizing the electromagnetic waves.
Through the above analysis, the problems and defects of the prior art are as follows:
(1) the existing energy sources such as solar energy are unstable and cannot supply energy continuously.
(2) It is very expensive to power large monitoring devices using existing technology.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides an environmental electromagnetic wave energy acquisition system.
The invention is realized in such a way that an environmental electromagnetic wave energy acquisition system comprises:
the electromagnetic wave spectrum detection module is connected with the central control and processing module and is used for detecting the distribution condition of electromagnetic waves in the space environment;
the electromagnetic wave energy acquisition module is connected with the central control and processing module and is used for collecting energy in a wave band with a stronger radiation field by using an antenna;
the radio frequency matching module is connected with the central control and processing module and converts the spectrum energy which is suitable for the collected energy by using the spectrum characteristic tester;
the energy conversion module is connected with the central control and processing module and is used for converting the collected energy of the adaptive electromagnetic waves into energy of resonant voltage;
the voltage boosting module is connected with the central control and processing module and used for boosting the resonance voltage obtained in the energy conversion module and providing electric energy for equipment;
the electric energy storage module is connected with the central control and processing module and is used for storing the converted redundant electric energy;
the charging module is connected with the central control and processing module and is used for charging the energy collector equipment;
the illumination module is connected with the central control and processing module and is used for illuminating the energy collector equipment;
the power supply module is connected with the central control and processing module and is used for supplying power to other equipment facilities or circuits by the converted energy;
the data line transmission module is connected with the central control and processing module and charges other electronic equipment by using a data line socket;
the central control and processing module is connected with the electromagnetic wave spectrum detection module, the electromagnetic wave energy acquisition module, the radio frequency matching module, the energy conversion module, the electric energy storage module, the charging module, the lighting module, the power supply module, the data line transmission module and the voltage boosting module and is used for controlling and timely processing functions of the modules and data transmission;
the central control and processing module calculates the generalized second-order cyclic cumulant of the received signal s (t)
By calculating characteristic parameters of the received signal s (t)
And using a minimum mean square error classifier and by detecting the generalized cyclic accumulated magnitude spectrum
Identifying BPSK signals and MSK signals according to the number of spectral peaks; calculating generalized second-order cyclic cumulant of received signal s (t)
The method is carried out according to the following formula:
characteristic parameter M of received signal s (t)2Theoretical value of (1)
The specific calculation formula is as follows:
calculated BPSK signal and MSK signal
All of 1, QPSK, 8PSK, 16QAM and 64QAM signals
Are all 0, so BPSK, MSK signals can be separated from QPSK, 8PSK, 16QAM, 64QAM signals with a minimum mean square error classifier; for BPSK signals, the magnitude spectrum is accumulated over a generalized cycle
There is only one distinct spectral peak at the carrier frequency position, while the MSK signal has one distinct spectral peak at each of the two frequencies, so that the characteristic parameter M can be passed2And detecting generalized cyclic cumulant magnitude spectra
The BPSK signal and the MSK signal are identified by the number of spectral peaks;
detecting generalized cyclic cumulant magnitude spectra
The specific method for the number of peaks in the spectrum is as follows:
firstly searching generalized cyclic cumulant magnitude spectrum
Max and the cycle frequency alpha corresponding to the position thereof0Its small neighborhood [ alpha ]0-δ0,α0+δ0]With zero built-in, where δ0Is a positive number, if0-fc|/fc＜σ0Wherein δ0Is a positive number close to 0, fcIf the signal is the carrier frequency of the signal, judging the type of the signal as a BPSK signal, otherwise, continuously searching the second largest value Max1 and the cyclic frequency alpha corresponding to the position of the second largest value1(ii) a If | Max-Max1|/Max < sigma0And | (α)0+α1)/2-fc|/fc＜σ0If yes, judging the signal type to be MSK signal;
calculating generalized fourth-order cyclic accumulation of received signal s (t)
By calculating characteristic parameters of the received signal s (t)
Identifying QPSK signals, 8PSK signals, 16QAM signals and 64QAM signals by using a minimum mean square error classifier; calculating generalized second-order cyclic cumulant of received signal s (t)
The method is carried out according to the following formula:
characteristic parameter M of received signal s (t)3Theoretical value of (1)
The specific calculation process is as follows:
calculated, QPSK signals
For 1, 8PSK signals
For 0, 16QAM signals
For 0.5747, 64QAM signals
Is 0.3580, QPSK, 8PSK, 16QAM and 64QAM signals are thus identified by a minimum mean square error classifier.
Further, the electromagnetic wave spectrum detection module detects the distribution of electromagnetic waves in the spatial environment, and comprises:
(1) the antenna receives the space electromagnetic radiation signal and is divided into two paths of broadband radio frequency signals by a splitter to be output; amplifying and detecting one path of broadband radio frequency signal to obtain a detection voltage value representing the signal intensity;
(2) after A/D conversion is carried out on the voltage value, the intensity of the electromagnetic radiation signal is judged through the detection voltage value, if the intensity is smaller than a specified threshold value, corresponding information is output, and detection is finished;
(3) if the intensity of the electromagnetic radiation signal is greater than a specified threshold value, outputting a radio frequency signal of a specified frequency point as a local oscillation signal to a mixer, and mixing the other path of broadband radio frequency signal output by the splitter by the mixer;
(4) the mixed intermediate frequency signal after frequency mixing enters a filter for filtering to obtain a narrow-band intermediate frequency signal representing a frequency spectrum of a certain sub-band in the broadband radio frequency signal; amplifying and detecting the narrow-band intermediate frequency signal to obtain a detection voltage value representing the spectrum signal intensity of a certain sub-band;
(5) after the voltage value is subjected to A/D conversion, changing the output frequency point of the voltage value by using a microcontroller, repeating the steps (3) to (5) to obtain data representing the signal intensity of the frequency spectrum of the other sub-band, and performing iterative detection until the whole broadband frequency spectrum to be measured is scanned;
(6) and recording the frequency spectrum signal intensity of each sub-band, and outputting the signal intensity distribution information of each sub-band in the whole frequency band to be measured.
Further, the converting the collected energy of the adapted electromagnetic wave into energy of a resonance voltage includes:
receiving electromagnetic wave signals, and performing frequency spectrum conversion and signal intensity normalization processing on the received electromagnetic wave signals;
and converting the processed signal into an output voltage, and sequentially passing the output voltage through a tuning loop and a voltage doubling rectifying circuit to obtain a higher resonant voltage.
Further, the obtaining of the higher resonance voltage includes:
1) dividing the frequency of an input electromagnetic wave signal through a frequency divider, and acquiring a high-frequency part and a low-frequency part of the input signal;
2) generating a harmonic y (t) from a low-frequency part by using a harmonic generator, and obtaining the direct-current component, the fundamental component and the higher harmonic component group through the deformation of the harmonic y (t);
3) filtering out fundamental wave components by using a fundamental wave component filter; filtering out the direct current component contained in the harmonic y (t) by a direct current component filter;
4) amplifying the higher harmonic component group by using a harmonic gain device; adding the high-frequency signal h (t) generated in the step 1) into the amplified higher harmonic component group and outputting.
Further, the frequency-dividing the input electromagnetic wave signal by the frequency divider and obtaining the high frequency part and the low frequency part of the input signal includes:
the high frequency portion and the low frequency portion of the input signal are obtained by dividing the electromagnetic wave signal by a high pass filter and a low pass filter connected to a frequency divider.
Further, the dc component filtering includes: and filtering the direct current component by using a DC blocking device in the direct current component filter.
Further, the higher harmonic component group amplification includes: the set of higher harmonic components is amplified by a power amplifier in a harmonic booster.
By combining all the technical schemes, the invention has the advantages and positive effects that: the invention can provide electric energy for equipment and circuits thereof by utilizing electromagnetic waves filled in a space environment, solves the problems that the existing energy sources such as solar energy are unstable and can not supply energy continuously, simultaneously reasonably utilizes the electromagnetic waves existing in the environment, and lays a foundation for wider application of the electromagnetic waves.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments of the present application will be briefly described below, and it is obvious that the drawings described below are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained from the drawings without creative efforts.
FIG. 1 is a schematic structural diagram of an environmental electromagnetic wave energy collection system provided by an embodiment of the invention;
in the figure: 1. an electromagnetic spectrum detection module; 2. an electromagnetic wave energy acquisition module; 3. a radio frequency matching module; 4. an energy conversion module; 5. a voltage boost module; 6. an electrical energy storage module; 7. a charging module; 8. a lighting module; 9. a power supply module; 10. a data line transmission module; 11. a central control and processing module.
Fig. 2 is a flowchart of an environmental electromagnetic wave energy collection method according to an embodiment of the present invention.
Fig. 3 is a flowchart of a method for detecting distribution of electromagnetic waves in a spatial environment by an electromagnetic wave spectrum detection module according to an embodiment of the present invention.
Fig. 4 is a flowchart of a method for converting collected energy of a suitable electromagnetic wave into energy of a resonant voltage according to an embodiment of the present invention.
Fig. 5 is a flowchart of a method for obtaining a higher resonant voltage according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Aiming at the problems in the prior art, the invention provides an environmental electromagnetic wave energy acquisition system, and the technical scheme of the invention is described in detail in the following with reference to the attached drawings.
As shown in fig. 1, an environmental electromagnetic wave energy collecting system provided by an embodiment of the present invention includes:
electromagnetic spectrum detection module 1: the central control and processing module is connected with the central control and processing module and is used for detecting the distribution condition of the electromagnetic waves in the space environment;
electromagnetic wave energy acquisition module 2: the central control and processing module is connected with the central control and processing module and is used for collecting energy of the wave band with stronger radiation field by using the antenna;
the radio frequency matching module 3: the spectrum characteristic tester is connected with the central control and processing module and is used for converting the spectrum energy which is suitable for the collected energy;
the energy conversion module 4: the central control and processing module is connected with the wireless sensor and is used for converting the collected energy of the adaptive electromagnetic waves into energy of resonance voltage;
the voltage boosting module 5: the central control and processing module is connected with the energy conversion module and is used for increasing the resonance voltage obtained in the energy conversion module and providing electric energy for equipment;
electric energy storage module 6: the central control and processing module is connected with the power supply and is used for converting the redundant electric energy into the redundant electric energy;
and a charging module 7: the central control and processing module is connected with the energy collector equipment and is used for charging the energy collector equipment;
the lighting module 8: the central control and processing module is connected with the energy collector equipment and is used for illuminating the energy collector equipment;
the power supply module 9: the central control and processing module is connected with the central control and processing module and is used for supplying the converted energy to other equipment facilities or circuits;
data line transmission module 10: the data line socket is connected with the central control and processing module and is used for charging other electronic equipment;
central control and processing module 11: the power supply module is connected with the electromagnetic wave spectrum detection module, the electromagnetic wave energy acquisition module, the radio frequency matching module, the energy conversion module, the electric energy storage module, the charging module, the illumination module, the power supply module, the data line transmission module and the voltage boosting module and is used for controlling and timely processing functions of all the modules and data transmission.
As shown in fig. 2, the method for collecting energy of environmental electromagnetic waves provided by the embodiment of the invention includes the following steps:
s101, measuring the distribution condition of electromagnetic waves in a space environment through an electromagnetic wave spectrum detection circuit, and screening to obtain a wave band with larger space radiation field intensity;
and S102, converting the received signal into an output voltage by using an antenna, and sequentially passing the output voltage through a tuning loop and a voltage doubling rectifying circuit to obtain a higher resonant voltage.
And S103, converting the resonance voltage into electric energy required by equipment and circuits through the lifting of the voltage lifting module.
As shown in fig. 3, the electromagnetic spectrum detection module provided by the embodiment of the present invention for detecting the distribution of electromagnetic waves in a spatial environment includes:
s201, an antenna receives a space electromagnetic radiation signal and is divided into two paths of broadband radio frequency signals through a splitter to be output; amplifying and detecting one path of broadband radio frequency signal to obtain a detection voltage value representing the signal intensity;
s202, after A/D conversion is carried out on the voltage value, the electromagnetic radiation signal intensity is judged through the detection voltage value, if the electromagnetic radiation signal intensity is smaller than a specified threshold value, corresponding information is output, and detection is finished;
s203, if the intensity of the electromagnetic radiation signal is greater than a specified threshold value, outputting a radio frequency signal of a specified frequency point as a local oscillation signal to a mixer, and mixing the other path of broadband radio frequency signal output by the splitter by the mixer;
s204, filtering the mixed intermediate-frequency signal after frequency mixing in a filter to obtain a narrow-band intermediate-frequency signal representing a frequency spectrum of a certain sub-band in the broadband radio-frequency signal; amplifying and detecting the narrow-band intermediate frequency signal to obtain a detection voltage value representing the spectrum signal intensity of a certain sub-band;
s205, after A/D conversion is carried out on the voltage value, the output frequency point of the voltage value is changed by using the microcontroller, the steps S203 to S205 are repeated to obtain data representing the signal intensity of the frequency spectrum of the other sub-band, and iterative detection is carried out until the whole wideband frequency spectrum to be measured is scanned;
and S206, recording the frequency spectrum signal intensity of each sub-band, and outputting the signal intensity distribution information of each sub-band in the whole frequency band to be measured.
As shown in fig. 4, the converting the collected energy of the adapted electromagnetic wave into the energy of the resonant voltage according to the embodiment of the present invention includes:
s301, receiving an electromagnetic wave signal, and performing frequency spectrum conversion and signal intensity normalization processing on the received electromagnetic wave signal;
and S302, converting the processed signal into an output voltage, and sequentially passing the output voltage through a tuning loop and a voltage doubling rectifying circuit to obtain a higher resonant voltage.
As shown in fig. 5, obtaining a higher resonant voltage according to the embodiment of the present invention includes:
s401, frequency division is carried out on an input electromagnetic wave signal through a frequency divider, and a high-frequency part and a low-frequency part of the input signal are obtained;
s402, generating a harmonic y (t) from a low-frequency part by using a harmonic generator, and obtaining the direct-current component, the fundamental component and the higher harmonic component group through the deformation of the harmonic y (t);
s403, filtering out fundamental wave components by using a fundamental wave component filter; filtering out the direct current component contained in the harmonic y (t) by a direct current component filter;
s404, amplifying the higher harmonic component group by using a harmonic gain device; adding the high-frequency signal h (t) generated in the step 1) into the amplified higher harmonic component group and outputting.
The embodiment of the invention provides a method for dividing the frequency of an input electromagnetic wave signal by a frequency divider and acquiring a high-frequency part and a low-frequency part of the input signal, which comprises the following steps:
the high frequency portion and the low frequency portion of the input signal are obtained by dividing the electromagnetic wave signal by a high pass filter and a low pass filter connected to a frequency divider.
The direct current component filtering provided by the embodiment of the invention comprises the following steps: and filtering the direct current component by using a DC blocking device in the direct current component filter.
The higher harmonic component group amplification provided by the embodiment of the invention comprises the following steps: the set of higher harmonic components is amplified by a power amplifier in a harmonic booster.
The central control and processing module provided by the embodiment of the invention calculates the generalized second-order cyclic cumulant of the received signal s (t)
By calculating characteristic parameters of the received signal s (t)
And using a minimum mean square error classifier and by detecting the generalized cyclic accumulated magnitude spectrum
Identifying BPSK signals and MSK signals according to the number of spectral peaks; calculating generalized second-order cyclic cumulant of received signal s (t)
The method is carried out according to the following formula:
characteristic parameter M of received signal s (t)2Theoretical value of (1)
The specific calculation formula is as follows:
calculated BPSK signal and MSK signal
All of 1, QPSK, 8PSK, 16QAM and 64QAM signals
Are all 0, so BPSK, MSK signals can be separated from QPSK, 8PSK, 16QAM, 64QAM signals with a minimum mean square error classifier; for BPSK signals, the magnitude spectrum is accumulated over a generalized cycle
There is only one distinct spectral peak at the carrier frequency position, while the MSK signal has one distinct spectral peak at each of the two frequencies, so that the characteristic parameter M can be passed2And detecting generalized cyclic cumulant magnitude spectra
The BPSK signal and the MSK signal are identified by the number of spectral peaks;
detecting generalized cyclic cumulant magnitude spectra
The specific method for the number of peaks in the spectrum is as follows:
firstly searching generalized cyclic cumulant magnitude spectrum
Max and the cycle frequency alpha corresponding to the position thereof0Its small neighborhood [ alpha ]0-δ0,α0+δ0]With zero built-in, where δ0Is a positive number, if0-fc|/fc＜σ0Wherein δ0Is a positive number close to 0, fcIf the signal is the carrier frequency of the signal, judging the type of the signal as a BPSK signal, otherwise, continuously searching the second largest value Max1 and the cyclic frequency alpha corresponding to the position of the second largest value1(ii) a If | Max-Max1|/Max < sigma0And | (α)0+α1)/2-fc|/fc＜σ0If yes, judging the signal type to be MSK signal;
calculating generalized fourth-order cyclic accumulation of received signal s (t)
By calculating characteristic parameters of the received signal s (t)
Identifying QPSK signals, 8PSK signals, 16QAM signals and 64QAM signals by using a minimum mean square error classifier; calculating generalized second-order cyclic cumulant of received signal s (t)
The method is carried out according to the following formula:
characteristic parameter M of received signal s (t)3Theoretical value of (1)
The specific calculation process is as follows:
calculated, QPSK signals
For 1, 8PSK signals
For 0, 16QAM signals
For 0.5747, 64QAM signals
Is 0.3580, QPSK, 8PSK, 16QAM and 64QAM signals are thus identified by a minimum mean square error classifier.
In the description of the present invention, "a plurality" means two or more unless otherwise specified; the terms "upper", "lower", "left", "right", "inner", "outer", "front", "rear", "head", "tail", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are only for convenience in describing and simplifying the description, and do not indicate or imply that the device or element referred to must have a particular orientation, be constructed in a particular orientation, and be operated, and thus, should not be construed as limiting the invention. Furthermore, the terms "first," "second," "third," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention, and the scope of the present invention is not limited thereto, and any modification, equivalent replacement, and improvement made by those skilled in the art within the technical scope of the present invention disclosed herein, which is within the spirit and principle of the present invention, should be covered by the present invention.
Claims (10)
1. An ambient electromagnetic wave energy harvesting system, comprising:
the electromagnetic wave spectrum detection module is connected with the central control and processing module and is used for detecting the distribution condition of electromagnetic waves in the space environment;
the electromagnetic wave energy acquisition module is connected with the central control and processing module and is used for collecting energy in a wave band with a stronger radiation field by using an antenna;
the radio frequency matching module is connected with the central control and processing module and converts the spectrum energy which is suitable for the collected energy by using the spectrum characteristic tester;
the energy conversion module is connected with the central control and processing module and is used for converting the collected energy of the adaptive electromagnetic waves into energy of resonant voltage;
the voltage boosting module is connected with the central control and processing module and used for boosting the resonance voltage obtained in the energy conversion module and providing electric energy for equipment;
the electric energy storage module is connected with the central control and processing module and is used for storing the converted redundant electric energy;
the charging module is connected with the central control and processing module and is used for charging the energy collector equipment;
the illumination module is connected with the central control and processing module and is used for illuminating the energy collector equipment;
the power supply module is connected with the central control and processing module and is used for supplying power to other equipment facilities or circuits by the converted energy;
the data line transmission module is connected with the central control and processing module and charges other electronic equipment by using a data line socket;
the central control and processing module is connected with the electromagnetic wave spectrum detection module, the electromagnetic wave energy acquisition module, the radio frequency matching module, the energy conversion module, the electric energy storage module, the charging module, the lighting module, the power supply module, the data line transmission module and the voltage boosting module and is used for controlling and timely processing functions of the modules and data transmission;
the central control and processing module calculates the generalized second-order cyclic cumulant of the received signal s (t)
By calculating characteristic parameters of the received signal s (t)
And using a minimum mean square error classifier and by detecting the generalized cyclic accumulated magnitude spectrum
Identifying BPSK signals and MSK signals according to the number of spectral peaks; calculating generalized second-order cyclic cumulant of received signal s (t)
The method is carried out according to the following formula:
characteristic parameter M of received signal s (t)2Theoretical value of (1)
The specific calculation formula is as follows:
calculated BPSK signal and MSK signal
All of 1, QPSK, 8PSK, 16QAM and 64QAM signals
Are all 0, so BPSK, MSK signals can be separated from QPSK, 8PSK, 16QAM, 64QAM signals with a minimum mean square error classifier; for BPSK signals, the magnitude spectrum is accumulated over a generalized cycle
There is only one distinct spectral peak at the carrier frequency position, while the MSK signal has one distinct spectral peak at each of the two frequencies, so that the characteristic parameter M can be passed2And detecting generalized cyclic cumulant magnitude spectra
The BPSK signal and the MSK signal are identified by the number of spectral peaks;
detecting generalized cyclic cumulant magnitude spectra
The specific method for the number of peaks in the spectrum is as follows:
firstly searching generalized cyclic cumulant magnitude spectrum
Max and the cycle frequency alpha corresponding to the position thereof0Its small neighborhood [ alpha ]0-δ0,α0+δ0]With zero built-in, where δ0Is a positive number, if0-fc|/fc＜σ0Wherein δ0Is a positive number close to 0, fcIf the signal is the carrier frequency of the signal, judging the type of the signal as a BPSK signal, otherwise, continuously searching the second largest value Max1 and the cyclic frequency alpha corresponding to the position of the second largest value1(ii) a If | Max-Max1|/Max < sigma0And | (α)0+α1)/2-fc|/fc＜σ0If yes, judging the signal type to be MSK signal;
calculating generalized fourth-order cyclic accumulation of received signal s (t)
By calculating characteristic parameters of the received signal s (t)
And identifying using a minimum mean square error classifierQPSK signal, 8PSK signal, 16QAM signal and 64QAM signal; calculating generalized second-order cyclic cumulant of received signal s (t)
The method is carried out according to the following formula:
characteristic parameter M of received signal s (t)3Theoretical value of (1)
The specific calculation process is as follows:
calculated, QPSK signals
For 1, 8PSK signals
For 0, 16QAM signals
For 0.5747, 64QAM signals
Is 0.3580, QPSK, 8PSK, 16QAM and 64QAM signals are thus identified by a minimum mean square error classifier.
2. The environmental electromagnetic wave energy collection system of claim 1, wherein the electromagnetic spectrum sensing module sensing the distribution of electromagnetic waves in the spatial environment comprises:
(1) the antenna receives the space electromagnetic radiation signal and is divided into two paths of broadband radio frequency signals by a splitter to be output; amplifying and detecting one path of broadband radio frequency signal to obtain a detection voltage value representing the signal intensity;
(2) after A/D conversion is carried out on the voltage value, the intensity of the electromagnetic radiation signal is judged through the detection voltage value, if the intensity is smaller than a specified threshold value, corresponding information is output, and detection is finished;
(3) if the intensity of the electromagnetic radiation signal is greater than a specified threshold value, outputting a radio frequency signal of a specified frequency point as a local oscillation signal to a mixer, and mixing the other path of broadband radio frequency signal output by the splitter by the mixer;
(4) the mixed intermediate frequency signal after frequency mixing enters a filter for filtering to obtain a narrow-band intermediate frequency signal representing a frequency spectrum of a certain sub-band in the broadband radio frequency signal; amplifying and detecting the narrow-band intermediate frequency signal to obtain a detection voltage value representing the spectrum signal intensity of a certain sub-band;
(5) after the voltage value is subjected to A/D conversion, changing the output frequency point of the voltage value by using a microcontroller, repeating the steps (3) to (5) to obtain data representing the signal intensity of the frequency spectrum of the other sub-band, and performing iterative detection until the whole broadband frequency spectrum to be measured is scanned;
(6) and recording the frequency spectrum signal intensity of each sub-band, and outputting the signal intensity distribution information of each sub-band in the whole frequency band to be measured.
3. The environmental electromagnetic wave energy harvesting system of claim 1, wherein the converting the collected adapted electromagnetic wave energy into resonant voltage energy comprises:
receiving electromagnetic wave signals, and performing frequency spectrum conversion and signal intensity normalization processing on the received electromagnetic wave signals;
and converting the processed signal into an output voltage, and sequentially passing the output voltage through a tuning loop and a voltage doubling rectifying circuit to obtain a higher resonant voltage.
4. The ambient electromagnetic wave energy harvesting system of claim 3, wherein said deriving a higher resonant voltage comprises:
1) dividing the frequency of an input electromagnetic wave signal through a frequency divider, and acquiring a high-frequency part and a low-frequency part of the input signal;
2) generating a harmonic y (t) from a low-frequency part by using a harmonic generator, and obtaining the direct-current component, the fundamental component and the higher harmonic component group through the deformation of the harmonic y (t);
3) filtering out fundamental wave components by using a fundamental wave component filter; filtering out the direct current component contained in the harmonic y (t) by a direct current component filter;
4) amplifying the higher harmonic component group by using a harmonic gain device; adding the high-frequency signal h (t) generated in the step 1) into the amplified higher harmonic component group and outputting.
5. The environmental electromagnetic wave energy collection system of claim 4, wherein said dividing the input electromagnetic wave signal by a frequency divider and obtaining the high frequency portion and the low frequency portion of the input signal comprises:
the high frequency portion and the low frequency portion of the input signal are obtained by dividing the electromagnetic wave signal by a high pass filter and a low pass filter connected to a frequency divider.
6. The environmental electromagnetic wave energy collection system of claim 4, wherein said direct current component filtering comprises: and filtering the direct current component by using a DC blocking device in the direct current component filter.
7. The ambient electromagnetic wave energy harvesting system of claim 4, wherein the higher harmonic component group amplification comprises: the set of higher harmonic components is amplified by a power amplifier in a harmonic booster.
8. An information data processing terminal, characterized in that the information data processing terminal is used for realizing the environmental electromagnetic wave energy collection system as claimed in any one of claims 1-7.
9. A computer program product stored on a computer readable medium, comprising a computer readable program for providing a user input interface for applying an ambient electromagnetic wave energy collection system according to any one of claims 1-7 when executed on an electronic device.
10. A computer readable storage medium storing instructions which, when executed on a computer, cause the computer to employ the environmental electromagnetic wave energy collection system of any one of claims 1-7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110594359.6A CN113452158A (en) | 2021-05-28 | 2021-05-28 | Environmental electromagnetic wave energy acquisition system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110594359.6A CN113452158A (en) | 2021-05-28 | 2021-05-28 | Environmental electromagnetic wave energy acquisition system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113452158A true CN113452158A (en) | 2021-09-28 |
Family
ID=77810336
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110594359.6A Pending CN113452158A (en) | 2021-05-28 | 2021-05-28 | Environmental electromagnetic wave energy acquisition system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113452158A (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110309686A1 (en) * | 2010-06-17 | 2011-12-22 | SCARF Technologies | Generating dc electric power from ambient electromagnetic radiation |
| CN103227498A (en) * | 2013-04-21 | 2013-07-31 | 泉州市顺风耳电子科技有限公司 | Environmental electromagnetic wave energy acquirer and application |
| CN103457890A (en) * | 2013-09-03 | 2013-12-18 | 西安电子科技大学 | Method for effectively recognizing digital modulating signals in non-Gaussian noise |
| CN104316778A (en) * | 2014-11-13 | 2015-01-28 | 李建 | Spatial electromagnetic frequency spectrum detection method |
| CN107786184A (en) * | 2016-08-30 | 2018-03-09 | 无锡华润矽科微电子有限公司 | Audible spectrum conversion process method |
-
2021
- 2021-05-28 CN CN202110594359.6A patent/CN113452158A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110309686A1 (en) * | 2010-06-17 | 2011-12-22 | SCARF Technologies | Generating dc electric power from ambient electromagnetic radiation |
| CN103227498A (en) * | 2013-04-21 | 2013-07-31 | 泉州市顺风耳电子科技有限公司 | Environmental electromagnetic wave energy acquirer and application |
| CN103457890A (en) * | 2013-09-03 | 2013-12-18 | 西安电子科技大学 | Method for effectively recognizing digital modulating signals in non-Gaussian noise |
| CN104316778A (en) * | 2014-11-13 | 2015-01-28 | 李建 | Spatial electromagnetic frequency spectrum detection method |
| CN107786184A (en) * | 2016-08-30 | 2018-03-09 | 无锡华润矽科微电子有限公司 | Audible spectrum conversion process method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US8330298B2 (en) | Generating DC electric power from ambient electromagnetic radiation | |
| Mikeka et al. | Design issues in radio frequency energy harvesting system | |
| CN103227498B (en) | Environmental electromagnetic wave energy acquirer and application | |
| US11121582B2 (en) | Smart rectenna design for passive wireless power harvesting | |
| CN1868106A (en) | Method and apparatus for a wireless power supply | |
| US20130234516A1 (en) | Electricity generation controller, electricity generation control system, and electricity generation control method | |
| KR20110008374A (en) | Rf energey harvesting system | |
| CN113452158A (en) | Environmental electromagnetic wave energy acquisition system | |
| CN108242859A (en) | A kind of 60GHz radio frequency energies collection device | |
| CN110401268B (en) | Radio frequency energy collection method and system based on electromagnetic space situation perception | |
| CN212008899U (en) | Dual-channel nine-vibration-element monitoring direction-finding system capable of being deployed rapidly | |
| CN115693983A (en) | Internet of things terminal device based on visible light transmission information and energy | |
| CN212845727U (en) | Power system pollution flashover detection circuit based on ultrahigh frequency electromagnetic wave | |
| Mikeka et al. | Development of a batteryless sensor transmitter | |
| WO2011160007A2 (en) | Generating dc electric power from ambient electromagnetic radiation | |
| Rodriguez et al. | Self-powered 24-GHz Doppler radar for building entrance monitoring using cross correlation and envelope detection | |
| CN113156222A (en) | VHF observation system, array single machine system and method | |
| Shafiq et al. | Green energy scavenging for powering mobile phones | |
| CN203243079U (en) | Environment electromagnetic wave energy collector | |
| Shih et al. | A batteryless beacon based on dual ISM-band RF harvesting with solar-biasing current | |
| CN112491167A (en) | Microwave wireless power supply system and method applied to power grid transmission line monitoring equipment | |
| CN111624446A (en) | Passive earth electric wave sensor based on radio frequency energy collection | |
| Balachandra et al. | Energy harvesting by scavenging ambient radio frequency signals | |
| CN218920067U (en) | Internet of things terminal device based on visible light transmission information and energy | |
| Nataraj et al. | Wireless charging system using spectral energy harvesting |
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 | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210928 |